Digital Market Insight's Dream IndicatorWhy the Digital Market Insight’s Dream Indicator Blends Sixteen Technical Indicators
Analyzing markets can be overwhelming with so many technical indicators available. Choosing the right ones and combining them effectively can be a challenge. This indicator simplifies this by leveraging the power of collaboration.
Unleashing the power of automation, Digital Market Insight's Dream Indicator simplifies both day trading and long-term investing by automatically generating buy and sell signals.
This user-friendly indicator simplifies everything, making it easy to identify profitable trades where other indicators usually fall short.
Instead of relying on a few popular indicators, the Digital Market Insight’s Dream Indicator incorporates sixteen diverse metrics. Each offers unique insights into different aspects of market behavior, giving you a complete picture that goes beyond what any single indicator can provide.
Combining indicators that analyze trends, momentum, volume, and volatility allows you to see the market from different angles. This combination creates a powerful tool that can uncover opportunities missed by traditional indicators.
Digital Market Insight’s Dream Indicator uses sophisticated algorithms to balance the influence of each individual indicator. This ensures that no single metric dominates the analysis, providing a more objective perspective.
In short, Digital Market Insight’s Dream Indicator makes the complex task of choosing and combining indicators seamless and automated. This allows traders of all experience levels to benefit from powerful technical analysis, unlocking potentially profitable opportunities they might have missed otherwise.
Leveraging sixteen popular technical indicators, the Dream Indicator from Digital Market Insight meticulously dissects trends, momentum, volume, and volatility to offer comprehensive market insights. Inspired by the Relative Strength Index (RSI), it scales these indicators and identifies breakouts with optimized overbought and underbought thresholds. This combined data is compared to the security, generating a divergence line. The line's magnitude and speed are monitored, leading to the creation of buy and sell signals.
The following is a list of the sixteen indicators that it tracks:
• Parabolic SAR
• Directional Movement Index
• Chande Momentum Oscillator
• Commodity Channel Index
• Volume-Weighted Average Price
• On-Balanced Volume
• Money Flow Index
• Relative Strength Index
• Moving average convergence divergence
• Bollinger Band
• Stochastic
• True Strength Index
• Chaikin Money Flow
• Williams %R
• Sentiment
• Supertrend
While the combination of technical indicators is intriguing, the Dream Indicator's true power lies in its dynamic false signal suppression settings. This system can adapt to frequent market changes in real-time, allowing for a nuanced understanding of market direction. Imagine a rapid price swing triggered by a news announcement. While other indicators provide static signals, the Dream Indicator takes a dynamic approach. By offering multiple adjustable factors, it allows users to customize the indicator to their specific needs and preferences, potentially revealing deeper insights into market trends.
The following is the list of suppression settings:
• Suppress Using an SMA Window? Size?
This suppresses when the security price varies outside a simple moving average window. The window size can be adjusted.
• Suppress Using Supertrend Direction? Factor?
This suppresses when the Supertrend’s direction, increasing or decreasing, is contrary to the security’s gain. The Supertrends factor can be adjusted.
• Suppress Using Security ROC? ROC?
This suppresses when the security’s rate of change (ROC) is above a selectable value.
• Suppress Unfavorable Convergence/Divergence?
The buy alert is suppressed when the faster exponential moving average is less than the slower exponential moving average for both the sentiment and standard MACD. The sell alert is suppressed when the slower exponential moving average is less than the faster exponential moving average for both the sentiment and standard MACD.
• Suppress Unfavorable Trending Sentiment?
This suppresses buy alerts when the sentiment value is lowering and its value is currently below zero. This suppresses sell alerts when the sentiment value is rising and its value is currently above zero.
• Suppress Using Contrary Accumulated Forecast?
Suppress when the combined buy/sell signal is contrary to the security trend.
• Don’t Suppress First Alert?
Always Display First Alert.
How to use:
1. Activate the Indicator:
• Add the Digital Market Insight’s Dream Indicator.
• Select a security.
• Adjust the Alert Frequency, if desired.
• Configure the ATR Multiplier for optimal trailing stop orders, if desired.
2. Set audible alerts, if desired:
1. Select a security and adjust settings if you haven’t yet.
2. Select Alert at the top of the TradingView window or press + .
3. Select Digital Market Insight’s Dream Indicator across from Condition.
4. Select Alert for Buy across from Condition.
5. Select Once Per Bar Close across from Trigger.
6. Select Notifications at the top of the Create Alert window.
7. Select the Play sound checkbox.
8. Select the Create button at the bottom of the Create Alert window.
9. Repeat steps 2–8, substituting Alert for Sell in step 4.
3. Watch displayed information for opportunities:
• Circle Alerts: Green circles indicate buy signals, red ones signal sell opportunities. Larger circles are audible, providing immediate trading prompts.
• SMA Gain: This metric reflects the average profit potential per trade, assuming a sideways trend.
4. Utilize False-Signal Suppression:
• Select the appropriate false-signal suppression methods based on your trading strategy and risk tolerance.
• Monitor the SMA Gain and Circle Alerts as you adjust these settings to see their impact.
• Eliminate misleading signals and gain a clearer picture of the market.
5. Combine with Other Indicators:
• Consider displaying the Sentiment MACD and Divergence RSI for further insights.
• Utilize these additional indicators alongside Dream Indicator's signals for a more comprehensive analysis.
The following describes the displayed information and how to use it. It is in three levels: location/displayed text/description.
Upper Left/Week:/
Displays week gain.
Upper Left/Day:/
Displays day’s gain.
Upper Left/SMA:/
Displays SMA’s gain. The SMA gain is calculated from the average difference between the buy and sell alerts and a simple moving average. This makes it easy to compare differences between securities and setting changes. Basically, the SMA gain is the average profit that can be expected from a single buy sell trade, assuming that the security is trending sideways. Note: With a free TradingView account, the data will be limited, and therefore this value will be less accurate.
Upper Center/Misc. text/
A variety of security information is displayed here, including description, country, type, sector, and industry. The analyst's recommendation is also displayed when selected in the settings section.
Upper Right/ #🕪⚠:/
Displays number of audible alerts. This shows how many audible alerts you’ll get per day on average for the selected security. You will see this number change as you adjust the Alert Frequency setting in the indicator settings section.
Lower Right/ ATR × X.X:/
Displays the Average True Range (ATR) multiplied by a multiplier that is located in the indicator settings section. The upper and lower ATR values are also displayed. The Average True Range is a measure of price volatility and can be used for things like trailing stop orders. Place your stop-loss order a multiple of the ATR below your entry price for long trades and above your entry price for short trades. This will give your trade some room to breathe while still protecting you from significant losses. Adjust the multiple based on market volatility. In more volatile markets, use a larger multiple to account for potentially wider price swings.
The following is a description of important items in the indicator settings section:
--- MISC. SETTINGS ---
Alert Frequency
Alert Frequency will increase or decrease both the displayed alerts and audible alerts. This is one of the more important indicator settings and should be adjusted according to your investing style. If you have a large number of active alerts, you may want to reduce the alert frequency to avoid being overwhelmed. However, if you set this too low, you may miss some trading opportunities.
ATR Multiplier
The ATR multiplier is a multiplier for the Average True Range which is described above. It can help with finding trailing stop order values.
Use Sentiment Coloring
This changes the color of some graphs to a color gradient, indicating the security's sentiment, and may help you identify trend changes.
Sentiment Calc Index
This setting mainly affects the sentiment color scheme and the displayed sentiment graph. Adjust it to match the index in which the security is traded. You can find it at the top left of the TradingView window.
Display Analyst’s Recommendations
This will display the analyst's recommendations and could be handy when unsure whether a security is worth investing in. :-)
--- GRAPH DISPLAY SETTINGS ---
These are additional graphs that can be displayed and can be a valuable addition to your investing. Consider displaying the Sentiment MACD and the Divergence RSI which are both variations of the standard MACD and RSI indicators.
--- FALSE ALERT SUPPRESSION ---
These settings will allow suppression of false signals and are an important feature of this indicator. They will manipulate the gain. Watch the displayed SMA Gain and Circle Alerts as you toggle some of these settings. Some Circle Alerts will appear or vanish, and the SMA Gain will change. Remember, the larger circle alerts are the only ones that will be audible. Both small and large circles indicate a buy or sell alert: green for buy and red for sell.
Disclaimer:
This is not Investment Advice. Trading involves inherent risks, and all decisions should be made at your own discretion.
Komut dosyalarını "profitable" için ara
Baseline Optimizer NNFX [m8b]DESCRIPTION
The Baseline Optimizer indicator is a tool to aid in baseline configuration (specifically moving averages). It manages state across iterations within a single bar to allow the indicator to test different settings. This allows the user to find a specific configuration that works well for that asset and timeframe. It also recreates pieces of the default TradingView backtesting framework so multiple settings can be tested concurrently.
Originality and usefulness
Default pine script doesn't allow for state management within a loop due to the way historical values are handled (e.g. EMA). It also does not allow for backtesting across multiple settings concurrently. The the functions are all unique in that they allow for proper state management during the optimization process.
ADDITIONAL BACKGROUND AND USAGE
While the platform is built to support the NNFX way of trading, this indicator can be utilized by any trader who wants to optimize an MA for a specific asset, chart, or time frame regardless of asset class.
NNFX revolves around a systematic approach to trading, designed to be mechanical and with minimal discretionary input. This strategy typically involves multiple indicators across different categories to confirm trading signals. The approach involves:
Baseline indicator to determine the overall trend direction
Confirmation (Leading & Lagging) indicator used to validate the trade
Volume indicator to confirm the presence of market participation
Exit indicator to signal when to close the trade
Supported Moving Averages
v1 (this indicator): ALMA, DEMA, EMA, HMA, KAMA, RMA / SMMA, SMA, Tilson T3, TEMA, WMA, VWMA
USAGE
By default, this indicator will run on “Standard” mode, and acts as a roll-up of MAs. Simply set the MA type and length.
When mode is set to “Optimizer”, a table will appear on the chart that displays trade stats for the various configurations.
Net Profit, Closed Trades, % Profitable, Profit Factor, Max Drawdown, Avg Trade, Avg Bars
STANDARD SETTINGS
MA Type: ALMA, DEMA, EMA, HMA, KAMA, RMA, SMA, T3, TEMA, WMA, VWMA
MA Length: Length of the MA
MA: Source: Source for the MA
OPTIMIZER SETTINGS
Profit factor threshold: Acts as a filter to the trading stats to make it more readable
% profitable threshold: Acts as a filter to the trading stats to make it more readable
Min trades threshold: Acts as a filter to the trading stats to make it more readable
Start & End Date: The data window for the optimizer to backtest
Trade Direction: All, Long only, Short Only
Pyramid Max: Works the same as standard TradingView pyramid
Optimizer Param Start: The first value for the optimizer
Optimizer Param End: The end value for the optimizer
Optimizer Param Step: The step value for the optimizer
Stats green threshold: The value to turn results green
Stats red threshold: The value to turn results red
IMPORTANT NOTES (Errors & Pine Limitations)
Warm-up Period Multiplier: "Warming up" refers to the period where the indicator begins to reflect accurate and meaningful data. A default value of 5 should generally ensure baseline data is accurate. If performance is an issue (e.g. timeouts), this can be adjusted down at the cost of accuracy. While this may not be ideal, for the purposes of optimization the results should be directionally accurate in most cases with lower values. If you see the stats changing in real-time in the results, that’s often a good indicator your warm-up is too short. Note, the EMA in particular requires a long warm-up due to its nature (~3 x length)
Timeouts: Depending on your TradingView plan, scripts will either timeout after 20 or 40 seconds. If you get too aggressive with either timeframes or Start/End/Step, you may timeout. THIS IS NOT A BUG, it’s a limitation of TradingView and/or your plan. The fixes for this are 1) test less states at a time 2) use a higher timeframe 3) get a Premium TradingView Plan.
Array Size / Memory Size: This should rarely be an issue with baseline optimization, BUT if you get really aggressive with settings (particularly on the T3) you could run into a scenario with Pine reaches/exceeds the limitation of an array size (100,000). If this happens, reduce your timeframe or input param values to resolve.
DISCLAIMER
This indicator is for educational purposes only, not financial advice. The developers are not financial advisors and accept no liability for how you use the information or features. By using this indicator, you acknowledge that all trading decisions are your own responsibility and that past performance does not guarantee future results.
Auto Trailing stoploss By InvestYourAsset💥The Auto Trailing Stop-Loss indicator is a technical indicator that uses the ATR (Average True Range) to calculate a trailing stop-loss for both long and short positions.
💥The signals according to the indicator allows traders to exit from the position before its too late! The indicator can be used to determine when to enter and exit trades.
💥To use the indicator, you simply need to set the input parameters to suit your trading style and risk tolerance. The default values for the parameters are:
p: The ATR period (14)
q: The stop period (20)
x: The multiplier used to calculate the initial high and initial low (1.5)
Calculations:
📈Calculates the ATR using the specified period you can modify ATR period according to your trading style.
📈Calculates the initial high and low stop levels based on the highest high and lowest low over the user defined ATR period.
📈Calculates short and long stoploss levels using the initial high and low stops.
💥Once you have set the input parameters according to your trading style whether you are a day trader or a swing trader, the indicator will plot the short stoploss, long stoploss, and stoploss hit signals on your chart.
💥You can use the indicator to enter and exit trades in a various ways.
For example,
🚀 you could enter a long trade when the price crosses above both red and green lines plotted on the chart. (or when price crosses over both short stoploss and long stoploss.) You could also use the indicator to secure your profits by moving your stop-loss up as the price moves in your favor.
Here is an example of how you could use the indicator to enter and exit trades:
🚀Enter a long trade when the price crosses above the red line or short stoploss.
✅keep Moving your stop-loss upward with the long stoploss or green line.
✅Exit the trade when the price crosses below the long stoploss or green line.
💥You can also use the indicator to protect your existing trades. For example, if you are already in a long trade, you could move your stop-loss up to the short stop when the price moves up 10%. This will help you to protect your profits in case the price starts to move against you.
💥💥some additional tips for using the Auto Trailing Stop-Loss indicator:
✅Use the indicator in conjunction with other technical indicators or your own trading strategy to generate entry and exit signals.
✅Backtest your trading strategy before using it live to make sure that it is profitable.
✅Use the indicator to protect your profits by moving your stop-loss up as the price moves in your favor.
✅ Always follow risk management rules and manage your position sizing according to your risk appetite.
✅ Be aware of the overall trend direction. If the trend is up, you should be looking for bullish reversals or continuations. If the trend is down, you should be looking for bearish reversals or continuations.
This script essentially provides a visual representation of a trading strategy that automatically adjusts stop-loss levels based on market volatility (ATR). It also includes signals for entering long or short positions and visually highlights these signals on the chart.
📣📣Follow us for timely updates regarding future indicators and give it a like if you appreciate the work.📣📣
[dharmatech] KBDR Mean ReversionBased on the criteria described in the book "Mean Revision Trading" by Nishant Pant.
Bullish signal criteria:
Bollinger Bands must be outside Keltner Channel
Price near bottom bband
DI+ increasing
DI- decreasing
RSI near bottom and increasing
Bearish signal criteria:
Bollinger Bands must be outside Keltner Channel
Price near upper bband
DI+ decreasing
DI- increasing
RSI near upper and decreasing
A single triangle indicates that all 4 criteria are met.
If letters appear with the triangle, this indicates that there was a partial criteria match.
K : bbands outside Keltner
B : bbands criteria met
D : DI criteria met
R : RSI criteria met
You can use the settings to turn off partial signals. For example:
"Partial 3" means show signals where 3 of the criteria are met.
If you want more insight into the underlying criteria, load these indicators as well:
Bollinger Bands (built-in to TradingView)
Keltner Channels (built-in to TradingView)
RSI (built-in to TradingView)
ADX and DI
Warning:
Not meant to be used as a stand-alone buy/sell signal.
It regularly provides signals which would not be profitable.
It's meant to be used in conjunction with other analysis.
Think of this as a time-saving tool. Instead of manually checking RSI, DI+/DI-, bbands, distance, etc. this does all of that for you on the fly.
[blackcat] L4 Adaptive Hull Suite 4HLevel: L4
Function Description:
The L4 Adaptive Hull Suite 4H aims to help traders identify trend reversals and trade signals using various moving averages and indicators. The script is designed to be adaptable and customizable, allowing traders to tweak the settings to suit their individual preferences and trading styles.
At its core, the script uses the hybrid Hull Moving Average (HHMA), a popular technical indicator that aims to reduce lag and noise while improving the accuracy of moving average signals. The HHMA is combined with a reverse chop indicator, which helps identify trend reversals by measuring the volatility of the market and comparing it to a set threshold.
In addition to the HHMA and reverse chop indicators, the script also includes customized open-close cross (OCC) conditions and a hybrid Hull Moving Average (Hybrid Hull MA). The OCC conditions allow traders to generate buy and sell signals based on the cross of the open and close prices, while the hybrid Hull MA combines the HHull MA with other moving averages to provide a more accurate and reliable trend-following signal.
Traders can adjust the settings of the script to suit their trading style and risk appetite. For instance, the chop length, ATR length, and reverse chop threshold can be customized to identify trend reversals more accurately, while the Hull MA length can be adjusted to provide a faster or slower response to price changes.
Overall, the L4 Adaptive Hull Suite 4H is a powerful and flexible Pine script that can help traders identify trend reversals and generate accurate buy and sell signals. With its customizable settings and reliable indicators, the script can be a valuable addition to any trader's toolkit.
About Time Frame:
The L4 Adaptive Hull Suite 4H is specifically designed for use on the 4-hour time frame and is particularly well-suited for trading the BTCUSDT.P trading pair. The script combines various technical indicators, including the Adaptive Hull Moving Average (AHMA) and the reverse chop indicator, to help identify trend reversals and generate accurate buy and sell signals.
Traders who are interested in using the L4 Adaptive Hull Suite 4H should be aware that it is optimized for use on the 4-hour time frame. While it may work on other time frames, the signals generated may not be as reliable as those generated on the 4-hour chart. Additionally, the script is specifically designed for use on the BTCUSDT.P trading pair, and may not be as effective on other trading pairs.
Overall, the L4 Adaptive Hull Suite 4H is a powerful and adaptable Pine script that can help traders identify trend reversals and generate accurate buy and sell signals. With its focus on the 4-hour time frame and the BTCUSDT.P trading pair, the script can be a valuable tool for traders who are looking to improve their trading results on this particular asset.
Choppiness Sensitive
The L4 Adaptive Hull Suite 4H includes a choppiness detection feature that helps traders identify whether the market is trending strongly or moving sideways. When the market is trending strongly, the background color of the chart will turn blue, indicating an active buy or sell signal. Conversely, when the market is moving sideways, the script will ignore any buy or sell signals generated by the OCC or Hull MA conditions.
The choppiness detection feature is based on the reverse chop indicator, which measures the volatility of the market and compares it to a set threshold. When the chop value is above the threshold, the market is considered to be in a sideways or choppy phase, and the script will not generate any buy or sell signals. However, when the chop value is below the threshold, the market is considered to be trending strongly, and the script will generate active buy or sell signals based on the OCC or Hull MA conditions.
Overall, the choppiness detection feature is a valuable addition to the L4 Adaptive Hull Suite 4H, as it helps traders identify the optimal times to enter and exit the market. By focusing on strong trends and ignoring sideways movement, traders can improve their trading results and minimize their risk of losses.
Divergence Detection and Alerts
The L4 Adaptive Hull Suite 4H is a powerful Pine script that can produce divergence labels and TradingView alerts using the built-in alert() function. This allows traders to receive real-time notifications when the script generates a buy or sell signal, making it easier to stay on top of market movements and take advantage of profitable trading opportunities.
To set up alerts, traders can simply add the alert() function to the script and specify the conditions that should trigger the alert. For instance, traders may want to receive an alert when the script generates a buy signal based on the OCC conditions, or when the Hull MA crosses above or below a certain level.
In addition to alerts, the script can also produce divergence labels, which can help traders identify potential trend reversals and generate more accurate buy and sell signals. Divergence labels are based on the difference between the script's indicators and the price action of the asset being traded, and can provide valuable insights into the underlying market dynamics.
Overall, the L4 Adaptive Hull Suite 4H is a versatile and customizable script that can help traders identify trend reversals and generate accurate buy and sell signals. With its ability to produce alerts and divergence labels, the script can be a valuable tool for traders who are looking to stay on top of market movements and take advantage of profitable trading opportunities.
Binary Option Ultimate Backtester-V.1[tanayroy]The Binary Option strategy backtester gives the user extensive power to test any kind of strategy with advance trade management rules.
The strategy tester accepts external scripts as strategy sources. You can add your strategy and test it for historical stats.
Few assumption regarding strategy tester:
We are opening position at next candle after signal come
We are taking the position at opening price
Our call will be profitable if we get a green candle and put will be profitable if we get a red candle
We can open only one trade at a time. So if we are in trade, subsequent signals will be ignored.
How to make your strategy code compatible for strategy backtesting?
In your strategy code file add following lines:
Signal = is_call ? 1 : is_put ? -1 : 0
plot(Signal, title="🔌Connector🔌", display = display.none)
Is_call and is_put is your buy and sell signal. Plot the signal without displaying it in the chart. The new TradingView feature display = display.none, will not display the plot.
All Input options
Group: STRATEGY
Add Your Binary Strategy: External strategy to back test.
Trade Call/Put: Select CALL, to trade Call, PUT, to trade Put. Default is BOTH, Trading Call and Put both.
Number of Candles to Hold: How many candles to hold per trade. Default 1. If you want to hold the option for 30 minutes and you are testing your strategy in 15m intervals, use 2 candle holding periods.
GROUP: MARTINGALE
Martingale Level: Select up to 15 Martingale. Select 1 for no Martingale.
Use Martingale At Strategy Level: Instead of using Martingale per trade basis, using Martingale per signal basis. Like if we make a loss in the first signal, instead of starting martingale immediately we’ll wait for the next signal to put the martingale amount. For example if you start with $1 and you lose, at the next signal you will invest $2 to recover your losses.
Strategy Martingale Level: Select up to 15 Martingale at strategy signal level. Only workable if Use Martingale At Strategy Level is selected.
Type of Trade: Martingale trade type. Only workable if we are using Martingale Level more than 1.
It can be:
“SAME”: If you are trading CALL and incur a loss, you are taking CALL in subsequent Martingale levels.
“OPSITE”: if you are trading CALL and incur a loss, you are taking PUT in subsequent Martingale levels.
“FOLLOW CANDLE COLOR”: You are following candle color in Martingale levels, i.e if the loss candle is RED, you are taking PUT in subsequent candles.
“OPPOSITE CANDLE COLOR”: You are taking opposite candle color trade, i.e if the loss candle is RED, you are taking CALL in subsequent candle.
GROUP: TRADE MANAGEMENT
Initial Investment Per Option: Initial investment amount per trade
Payout: Per trade payout in percentage
Use Specific Session: Select to test trade on specific session.
Trading Session: Select trading session. Only workable if Use Specific Session is selected.
Use Date Range: Select to use test trades between dates.
Start Time: Select Start Time. Only workable if Use Date Range is selected.
End Time: Select end Time. Only workable if Use Date Range is selected.
Early Quit: Select to quit trade for the day after consecutive win or loss
Quit Trading after Consecutive Win: Number of consecutive wins. Only workable if early Early Quit is selected.
Quit Trading after Consecutive Loss: Number of consecutive losses. Only workable if early Early Quit is selected.
Buy/Sell Flip: Use buy signal for sell and sell signal for buy.
GROUP:STATS
Show Recent Stats: Show win trades in last 3,5,10,15,25 and 30 trades.
Show Daily Stats: Day wise win trades and total trades.
Show Monthly Stats: Month wise win trades and total trades.
Result and stat output:
Back tester without any strategy.
Strategy added with default option.
Stats with 7 Martingales. You can test up to 15.
Optional Stats:
Example Strategy code used :
//@version=5
indicator("Binary Option Strategy",overlay = true)
length = input.int(7, minval=1)
src = input(close, title="Source")
mult = input.float(3.0, minval=0.001, maxval=50, title="StdDev")
basis = ta.sma(src, length)
dev = mult * ta.stdev(src, length)
upper = basis + dev
lower = basis - dev
fab_candle_upcross=(high< upper and low>basis)
fab_candle_downcross= (high< basis and low>lower)
up_cross=ta.barssince(ta.crossover(close,basis))
down_cross=ta.barssince(ta.crossunder(close,basis))
is_first_up=false
is_first_down=false
if fab_candle_upcross
for a=1 to up_cross
if fab_candle_upcross
is_first_up:=false
break
else
is_first_up:=true
if fab_candle_downcross
for a=1 to down_cross
if fab_candle_downcross
is_first_down:=false
break
else
is_first_down:=true
//strategy for buying call
is_call=(is_first_up or is_first_down ) and close>open
//strategy for selling call
is_put=(is_first_up or is_first_down ) and close<open
Signal = is_call ? 1 : is_put ? -1 : 0
plot(Signal, title="🔌Connector🔌", display = display.none)
Binary Option Strategy Tester with Martingale-Basic V.2In Binary options, strategy testing is a bit different. The strategy result depends upon expiry intervals and payout ratio.
My previous script was a try to resolve this but has some bugs in specific choices. The new version overcame those and added some new features useful for binary option strategy testing.
Assumption:
We are opening position at next candle after signal come
Chart interval is option expiry time.
We are taking the position at opening price
Our call will be profitable if we get a green candle and put will be profitable if we get a red candle
We can open only one trade at a time. So if we are in trade, subsequent signals will be ignored.
All Input Options:
Test Call/Put individually or both. Default BOTH
Select up to 5 Martingale levels. Default 2
Type of Martingale Trade. Default “SAME”
“SAME”: If you are trading CALL and incur a loss, you are taking CALL in subsequent Martingale levels.
“OPSITE”: if you are trading CALL and incur a loss, you are taking PUT in subsequent Martingale levels.
“FOLLOW CANDLE COLOR”: You are following candle color in Martingale levels, i.e if the loss candle is RED, you are taking PUT in subsequent candles.
“OPPOSITE CANDLE COLOR”: You are taking opposite candle color trade, i.e if the loss candle is RED, you are taking CALL in subsequent candle.
Select Specific Trading Session. Please select “USE SPECIFIC SESSION”. Default: TRUE
Put the investment amount per option. Default: 10
Payout ratio. Default: 80%
The strategy is taken from Vdub Binary Options SniperVX v1 (by @vdubus). I have deleted extra parts and kept only the necessary parts.
Result Table
Signal and Win Levels:
Signal and Loss:
Please note that Binary options trading is very risky. You must be aware of the risk and be willing to accept them in order to invest in binary options. Only invest what you can afford to lose. The past performance of any trading system, strategy, or methodology is not necessarily indicative of future results.
[SMT] Buy & Sell Renko Based - AlertsThis is a custom indicator that implements a trading strategy based on Renko charts, but they can be used on regular candlestick charts and on any time frame. Renko charts are known for filtering market noise and displaying price movements in a clearer way. However, it is important to note that this indicator is provided for educational and informational purposes only and is not a guarantee of profitable returns.
Features:
- The indicator uses Renko charts to generate buy and sell signals.
- Renko bricks are built based on a predefined price variation, rather than time.
- The length of the Average True Range (ATR) used to calculate Renko bricks can be customized.
- Buy signals are generated when the price crosses below the current Renko brick.
- Sell signals are generated when the price crosses above the current Renko brick.
- Entry points are marked with "Buy" and "Sell" arrows on the chart.
It is essential to emphasize that no indicator or trading strategy guarantees profitable results. The financial market is complex and subject to unpredictable changes. It is recommended to perform additional tests and analysis before using this indicator on a real trading account.
Always remember to manage your risks properly and consider other factors such as fundamental analysis and market conditions when making trading decisions. The use of this indicator is entirely the user's responsibility.
DISCLAIMER: This indicator is not financial advice and should not be interpreted as such. Always consult with a qualified financial professional before making any investment decisions.
GKD-C Adaptive-Lookback Stochastic [Loxx]Giga Kaleidoscope GKD-C Adaptive-Lookback Stochastic is a Metamorphosis module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
█ GKD-C Adaptive-Lookback Stochastic
The Adaptive-Lookback Stochastic uses a swing pivot lookback algorithm to adjust the periiod input bar-bar-bar thereby converting the regular Stochasitc oscillator into an adaptive Stochatic oscillator.
What is the Adaptive Lookback Period?
The adaptive lookback period is a technique used in technical analysis to adjust the period of an indicator based on changes in market conditions. This technique is particularly useful in volatile or rapidly changing markets where a fixed period may not be optimal for detecting trends or signals.
The concept of the adaptive lookback period is relatively simple. By adjusting the lookback period based on changes in market conditions, traders can more accurately identify trends and signals. This can help traders to enter and exit trades at the right time and improve the profitability of their trading strategies.
The adaptive lookback period works by identifying potential swing points in the market. Once these points are identified, the lookback period is calculated based on the number of swings and a speed parameter. The swing count parameter determines the number of swings that must occur before the lookback period is adjusted. The speed parameter controls the rate at which the lookback period is adjusted, with higher values indicating a more rapid adjustment.
The adaptive lookback period can be applied to a wide range of technical indicators, including moving averages, oscillators, and trendlines. By adjusting the period of these indicators based on changes in market conditions, traders can reduce the impact of noise and false signals, leading to more profitable trades.
The adaptive lookback period is a powerful technique for traders and analysts looking to optimize their technical indicators. By adjusting the period based on changes in market conditions, traders can more accurately identify trends and signals, leading to more profitable trades. While there are various ways to implement the adaptive lookback period, the basic concept remains the same, and traders can adapt and customize the technique to suit their individual needs and trading styles.
What is the Stochastic Oscillator?
The Stochastic Oscillator is a popular technical analysis indicator developed by George Lane in the 1950s. It is a momentum indicator that compares a security's closing price to its price range over a specified period. The main idea behind the Stochastic Oscillator is that, in an upward trending market, prices tend to close near their high, while in a downward trending market, prices tend to close near their low. The Stochastic Oscillator ranges from 0 to 100 and is primarily used to identify overbought and oversold conditions or potential trend reversals.
The Stochastic Oscillator is calculated using the following formula:
%K = ((C - L14) / (H14 - L14)) * 100
Where:
%K: The Stochastic Oscillator value.
C: The most recent closing price.
L14: The lowest price of the last 14 periods (or any other chosen period).
H14: The highest price of the last 14 periods (or any other chosen period).
Additionally, a moving average of %K, called %D, is calculated to provide a signal line:
%D = Simple Moving Average of %K over 'n' periods
The Stochastic Oscillator generates signals based on the following conditions:
1. Overbought and Oversold Levels: The Stochastic Oscillator typically uses 80 and 20 as overbought and oversold levels, respectively. When the oscillator is above 80, it is considered overbought, indicating that the market may be overvalued and a price decline is possible. When the oscillator is below 20, it is considered oversold, indicating that the market may be undervalued and a price rise is possible.
2. Bullish and Bearish Divergences: A bullish divergence occurs when the price makes a lower low, but the Stochastic Oscillator makes a higher low, suggesting a potential trend reversal to the upside. A bearish divergence occurs when the price makes a higher high, but the Stochastic Oscillator makes a lower high, suggesting a potential trend reversal to the downside.
3. Crosses: Buy signals are generated when %K crosses above %D, indicating upward momentum. Sell signals are generated when %K crosses below %D, indicating downward momentum.
The Stochastic Oscillator is commonly used in combination with other technical analysis tools to confirm signals and improve the accuracy of predictions.
When using the Stochastic Oscillator, it's important to consider a few best practices and additional insights:
1. Confirmation with other indicators: While the Stochastic Oscillator can provide valuable insights into potential trend reversals and overbought/oversold conditions, it is generally more effective when used in conjunction with other technical indicators, such as moving averages, RSI (Relative Strength Index), or MACD (Moving Average Convergence Divergence). This can help confirm signals and reduce the chances of false signals or whipsaws.
2. Timeframes: The Stochastic Oscillator can be applied to various timeframes, such as daily, weekly, or intraday charts. Adjusting the lookback period for the calculation can also alter the sensitivity of the indicator. A shorter lookback period will make the oscillator more sensitive to price movements, while a longer lookback period will make it less sensitive. Traders should choose a timeframe and lookback period that aligns with their trading strategy and risk tolerance.
3. Variations: There are two primary variations of the Stochastic Oscillator: Fast Stochastic and Slow Stochastic. The Fast Stochastic uses the original %K and %D calculations, while the Slow Stochastic smooths %K with an additional moving average and uses this smoothed %K as the new %D. The Slow Stochastic is generally considered to generate fewer false signals due to the additional smoothing.
4. Overbought and Oversold: It's important to remember that overbought and oversold conditions can persist for an extended period, especially during strong trends. This means that the Stochastic Oscillator alone should not be relied upon as a definitive buy or sell signal. Instead, traders should wait for additional confirmation from other indicators or price action before entering or exiting a trade.
The Stochastic Oscillator is a valuable momentum indicator that helps traders identify potential trend reversals and overbought/oversold conditions in the market. However, it is most effective when used in combination with other technical analysis tools and should be adapted to suit the specific needs of the individual trader's strategy and risk tolerance.
█ Giga Kaleidoscope Modularized Trading System
Core components of an NNFX algorithmic trading strategy
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend
3. Confirmation 1 - a technical indicator used to identify trends
4. Confirmation 2 - a technical indicator used to identify trends
5. Continuation - a technical indicator used to identify trends
6. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown
7. Exit - a technical indicator used to determine when a trend is exhausted
8. Metamorphosis - a technical indicator that produces a compound signal from the combination of other GKD indicators*
*(not part of the NNFX algorithm)
What is Volatility in the NNFX trading system?
In the NNFX (No Nonsense Forex) trading system, ATR (Average True Range) is typically used to measure the volatility of an asset. It is used as a part of the system to help determine the appropriate stop loss and take profit levels for a trade. ATR is calculated by taking the average of the true range values over a specified period.
True range is calculated as the maximum of the following values:
-Current high minus the current low
-Absolute value of the current high minus the previous close
-Absolute value of the current low minus the previous close
ATR is a dynamic indicator that changes with changes in volatility. As volatility increases, the value of ATR increases, and as volatility decreases, the value of ATR decreases. By using ATR in NNFX system, traders can adjust their stop loss and take profit levels according to the volatility of the asset being traded. This helps to ensure that the trade is given enough room to move, while also minimizing potential losses.
Other types of volatility include True Range Double (TRD), Close-to-Close, and Garman-Klass
What is a Baseline indicator?
The baseline is essentially a moving average, and is used to determine the overall direction of the market.
The baseline in the NNFX system is used to filter out trades that are not in line with the long-term trend of the market. The baseline is plotted on the chart along with other indicators, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR).
Trades are only taken when the price is in the same direction as the baseline. For example, if the baseline is sloping upwards, only long trades are taken, and if the baseline is sloping downwards, only short trades are taken. This approach helps to ensure that trades are in line with the overall trend of the market, and reduces the risk of entering trades that are likely to fail.
By using a baseline in the NNFX system, traders can have a clear reference point for determining the overall trend of the market, and can make more informed trading decisions. The baseline helps to filter out noise and false signals, and ensures that trades are taken in the direction of the long-term trend.
What is a Confirmation indicator?
Confirmation indicators are technical indicators that are used to confirm the signals generated by primary indicators. Primary indicators are the core indicators used in the NNFX system, such as the Average True Range (ATR), the Moving Average (MA), and the Relative Strength Index (RSI).
The purpose of the confirmation indicators is to reduce false signals and improve the accuracy of the trading system. They are designed to confirm the signals generated by the primary indicators by providing additional information about the strength and direction of the trend.
Some examples of confirmation indicators that may be used in the NNFX system include the Bollinger Bands, the MACD (Moving Average Convergence Divergence), and the MACD Oscillator. These indicators can provide information about the volatility, momentum, and trend strength of the market, and can be used to confirm the signals generated by the primary indicators.
In the NNFX system, confirmation indicators are used in combination with primary indicators and other filters to create a trading system that is robust and reliable. By using multiple indicators to confirm trading signals, the system aims to reduce the risk of false signals and improve the overall profitability of the trades.
What is a Continuation indicator?
In the NNFX (No Nonsense Forex) trading system, a continuation indicator is a technical indicator that is used to confirm a current trend and predict that the trend is likely to continue in the same direction. A continuation indicator is typically used in conjunction with other indicators in the system, such as a baseline indicator, to provide a comprehensive trading strategy.
What is a Volatility/Volume indicator?
Volume indicators, such as the On Balance Volume (OBV), the Chaikin Money Flow (CMF), or the Volume Price Trend (VPT), are used to measure the amount of buying and selling activity in a market. They are based on the trading volume of the market, and can provide information about the strength of the trend. In the NNFX system, volume indicators are used to confirm trading signals generated by the Moving Average and the Relative Strength Index. Volatility indicators include Average Direction Index, Waddah Attar, and Volatility Ratio. In the NNFX trading system, volatility is a proxy for volume and vice versa.
By using volume indicators as confirmation tools, the NNFX trading system aims to reduce the risk of false signals and improve the overall profitability of trades. These indicators can provide additional information about the market that is not captured by the primary indicators, and can help traders to make more informed trading decisions. In addition, volume indicators can be used to identify potential changes in market trends and to confirm the strength of price movements.
What is an Exit indicator?
The exit indicator is used in conjunction with other indicators in the system, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR), to provide a comprehensive trading strategy.
The exit indicator in the NNFX system can be any technical indicator that is deemed effective at identifying optimal exit points. Examples of exit indicators that are commonly used include the Parabolic SAR, the Average Directional Index (ADX), and the Chandelier Exit.
The purpose of the exit indicator is to identify when a trend is likely to reverse or when the market conditions have changed, signaling the need to exit a trade. By using an exit indicator, traders can manage their risk and prevent significant losses.
In the NNFX system, the exit indicator is used in conjunction with a stop loss and a take profit order to maximize profits and minimize losses. The stop loss order is used to limit the amount of loss that can be incurred if the trade goes against the trader, while the take profit order is used to lock in profits when the trade is moving in the trader's favor.
Overall, the use of an exit indicator in the NNFX trading system is an important component of a comprehensive trading strategy. It allows traders to manage their risk effectively and improve the profitability of their trades by exiting at the right time.
What is an Metamorphosis indicator?
The concept of a metamorphosis indicator involves the integration of two or more GKD indicators to generate a compound signal. This is achieved by evaluating the accuracy of each indicator and selecting the signal from the indicator with the highest accuracy. As an illustration, let's consider a scenario where we calculate the accuracy of 10 indicators and choose the signal from the indicator that demonstrates the highest accuracy.
The resulting output from the metamorphosis indicator can then be utilized in a GKD-BT backtest by occupying a slot that aligns with the purpose of the metamorphosis indicator. The slot can be a GKD-B, GKD-C, or GKD-E slot, depending on the specific requirements and objectives of the indicator. This allows for seamless integration and utilization of the compound signal within the GKD-BT framework.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v2.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 and Continuation module (Confirmation 1/2 and Continuation, Numbers 3, 4, and 5 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 6 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 7 in the NNFX algorithm)
6. GKD-M - Metamorphosis module (Metamorphosis, Number 8 in the NNFX algorithm, but not part of the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data to A backtest module wherein the various components of the GKD system are combined to create a trading signal.
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Continuation indicator. The Continuation indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Full GKD Backtest
Baseline: Hull Moving Average
Volatility/Volume: Hurst Exponent
Confirmation 1: Composite RSI
Confirmation 2: uf2018
Continuation: Vortex
Exit: Rex Oscillator
Metamorphosis: Fisher Transform, Universal Oscillator, Aroon, Vortex .. combined
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, GKD-M, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD system.
█ Giga Kaleidoscope Modularized Trading System Signals
Standard Entry
1. GKD-C Confirmation gives signal
2. Baseline agrees
3. Price inside Goldie Locks Zone Minimum
4. Price inside Goldie Locks Zone Maximum
5. Confirmation 2 agrees
6. Volatility/Volume agrees
1-Candle Standard Entry
1a. GKD-C Confirmation gives signal
2a. Baseline agrees
3a. Price inside Goldie Locks Zone Minimum
4a. Price inside Goldie Locks Zone Maximum
Next Candle
1b. Price retraced
2b. Baseline agrees
3b. Confirmation 1 agrees
4b. Confirmation 2 agrees
5b. Volatility/Volume agrees
Baseline Entry
1. GKD-B Basline gives signal
2. Confirmation 1 agrees
3. Price inside Goldie Locks Zone Minimum
4. Price inside Goldie Locks Zone Maximum
5. Confirmation 2 agrees
6. Volatility/Volume agrees
7. Confirmation 1 signal was less than 'Maximum Allowable PSBC Bars Back' prior
1-Candle Baseline Entry
1a. GKD-B Baseline gives signal
2a. Confirmation 1 agrees
3a. Price inside Goldie Locks Zone Minimum
4a. Price inside Goldie Locks Zone Maximum
5a. Confirmation 1 signal was less than 'Maximum Allowable PSBC Bars Back' prior
Next Candle
1b. Price retraced
2b. Baseline agrees
3b. Confirmation 1 agrees
4b. Confirmation 2 agrees
5b. Volatility/Volume agrees
Volatility/Volume Entry
1. GKD-V Volatility/Volume gives signal
2. Confirmation 1 agrees
3. Price inside Goldie Locks Zone Minimum
4. Price inside Goldie Locks Zone Maximum
5. Confirmation 2 agrees
6. Baseline agrees
7. Confirmation 1 signal was less than 7 candles prior
1-Candle Volatility/Volume Entry
1a. GKD-V Volatility/Volume gives signal
2a. Confirmation 1 agrees
3a. Price inside Goldie Locks Zone Minimum
4a. Price inside Goldie Locks Zone Maximum
5a. Confirmation 1 signal was less than 'Maximum Allowable PSVVC Bars Back' prior
Next Candle
1b. Price retraced
2b. Volatility/Volume agrees
3b. Confirmation 1 agrees
4b. Confirmation 2 agrees
5b. Baseline agrees
Confirmation 2 Entry
1. GKD-C Confirmation 2 gives signal
2. Confirmation 1 agrees
3. Price inside Goldie Locks Zone Minimum
4. Price inside Goldie Locks Zone Maximum
5. Volatility/Volume agrees
6. Baseline agrees
7. Confirmation 1 signal was less than 7 candles prior
1-Candle Confirmation 2 Entry
1a. GKD-C Confirmation 2 gives signal
2a. Confirmation 1 agrees
3a. Price inside Goldie Locks Zone Minimum
4a. Price inside Goldie Locks Zone Maximum
5a. Confirmation 1 signal was less than 'Maximum Allowable PSC2C Bars Back' prior
Next Candle
1b. Price retraced
2b. Confirmation 2 agrees
3b. Confirmation 1 agrees
4b. Volatility/Volume agrees
5b. Baseline agrees
PullBack Entry
1a. GKD-B Baseline gives signal
2a. Confirmation 1 agrees
3a. Price is beyond 1.0x Volatility of Baseline
Next Candle
1b. Price inside Goldie Locks Zone Minimum
2b. Price inside Goldie Locks Zone Maximum
3b. Confirmation 1 agrees
4b. Confirmation 2 agrees
5b. Volatility/Volume agrees
Continuation Entry
1. Standard Entry, 1-Candle Standard Entry, Baseline Entry, 1-Candle Baseline Entry, Volatility/Volume Entry, 1-Candle Volatility/Volume Entry, Confirmation 2 Entry, 1-Candle Confirmation 2 Entry, or Pullback entry triggered previously
2. Baseline hasn't crossed since entry signal trigger
4. Confirmation 1 agrees
5. Baseline agrees
6. Confirmation 2 agrees
█ Connecting to Backtests
All GKD indicators are chained indicators meaning you export the value of the indicators to specialized backtest to creat your GKD trading system. Each indicator contains a proprietary signal generation algo that will only work with GKD backtests. You can find these backtests using the links below.
GKD-BT Giga Confirmation Stack Backtest:
GKD-BT Giga Stacks Backtest:
GKD-BT Full Giga Kaleidoscope Backtest:
GKD-BT Solo Confirmation Super Complex Backtest:
GKD-BT Solo Confirmation Complex Backtest:
GKD-BT Solo Confirmation Simple Backtest:
GKD-C Adaptive-Lookback Variety RSI [Loxx]Giga Kaleidoscope GKD-C Adaptive-Lookback Variety RSI is a Confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
█ GKD-C Adaptive-Lookback Variety RSI
What is the Adaptive Lookback Period?
The adaptive lookback period is a technique used in technical analysis to adjust the period of an indicator based on changes in market conditions. This technique is particularly useful in volatile or rapidly changing markets where a fixed period may not be optimal for detecting trends or signals.
The concept of the adaptive lookback period is relatively simple. By adjusting the lookback period based on changes in market conditions, traders can more accurately identify trends and signals. This can help traders to enter and exit trades at the right time and improve the profitability of their trading strategies.
The adaptive lookback period works by identifying potential swing points in the market. Once these points are identified, the lookback period is calculated based on the number of swings and a speed parameter. The swing count parameter determines the number of swings that must occur before the lookback period is adjusted. The speed parameter controls the rate at which the lookback period is adjusted, with higher values indicating a more rapid adjustment.
The adaptive lookback period can be applied to a wide range of technical indicators, including moving averages, oscillators, and trendlines. By adjusting the period of these indicators based on changes in market conditions, traders can reduce the impact of noise and false signals, leading to more profitable trades.
In summary, the adaptive lookback period is a powerful technique for traders and analysts looking to optimize their technical indicators. By adjusting the period based on changes in market conditions, traders can more accurately identify trends and signals, leading to more profitable trades. While there are various ways to implement the adaptive lookback period, the basic concept remains the same, and traders can adapt and customize the technique to suit their individual needs and trading styles.
This indicator includes 10 types of RSI
1. Regular RSI
2. Slow RSI
3. Ehlers Smoothed RSI
4. Cutler's RSI
5. Rapid RSI
6. Harris' RSI
7. RSI DEMA
8. RSI TEMA
9. RSI T3
10. Jurik RSX
Regular RSI
The Relative Strength Index (RSI) is a widely used technical indicator in the field of financial market analysis. Developed by J. Welles Wilder Jr. in 1978, the RSI is a momentum oscillator that measures the speed and change of price movements. It helps traders identify potential trend reversals, overbought, and oversold conditions in a market.
The RSI is calculated based on the average gains and losses of an asset over a specified period, typically 14 days. The formula for calculating the RSI is as follows:
RSI = 100 - (100 / (1 + RS))
Where:
RS (Relative Strength) = Average gain over the specified period / Average loss over the specified period
The RSI ranges from 0 to 100, with values above 70 generally considered overbought (potentially indicating that the asset is overvalued and may experience a price decline) and values below 30 considered oversold (potentially indicating that the asset is undervalued and may experience a price increase).
Slow RSI
Slow RSI is a modified version of the Relative Strength Index (RSI) indicator that aims to provide a smoother, more consistent signal than the traditional RSI. The Slow RSI is designed to be less sensitive to sudden price movements, which can cause false signals.
To calculate Slow RSI, we first calculate the up and down values, just like in traditional RSI and Ehlers RSI. The up and down values are calculated by comparing the current price to the previous price, and then adding up the positive and negative differences.
Next, we calculate the Slow RSI value using the formula:
SlowRSI = 100 * up / (up + dn)
where "up" and "dn" are the total positive and negative differences, respectively.
This formula is similar to the one used in traditional RSI, but the dynamic lookback period based on the average of the up and down values is used to smooth out the signal.
Finally, we apply smoothing to the Slow RSI value by taking an exponential moving average (EMA) of the Slow RSI values over a specified period. This EMA helps to reduce the impact of sudden price movements and provide a smoother, more consistent signal over time.
Ehler's Smoothed RSI
Ehlers RSI is a modified version of the Relative Strength Index (RSI) indicator created by John Ehlers, a well-known technical analyst and author. The purpose of Ehlers RSI is to reduce lag and improve the responsiveness of the traditional RSI indicator.
To calculate Ehlers RSI, we first smooth the prices by taking a weighted average of the current price and the two previous prices. This smoothing helps to reduce noise in the data and produce a more accurate signal.
Next, we calculate the up and down values differently than in traditional RSI. In traditional RSI, the up and down values are based on the difference between the current price and the previous price. In Ehlers RSI, the up and down values are based on the difference between the current price and the price two bars ago. This approach helps to reduce lag and produce a more responsive indicator.
Finally, we calculate Ehlers RSI using the formula:
EhlersRSI = 50 * (up - down) / (up + down) + 50
The result is a more timely signal that can help traders identify potential trends and reversals in the market. However, as with any technical indicator, Ehlers RSI should be used in conjunction with other analysis tools and should not be relied on as the sole basis for trading decisions.
Cutler's RSI
Cutler's RSI (Relative Strength Index) is a variation of the traditional RSI, a popular technical analysis indicator used to measure the speed and change of price movements. The main difference between Cutler's RSI and the traditional RSI is the calculation method used to smooth the data. While the traditional RSI uses an exponential moving average (EMA) to smooth the data, Cutler's RSI uses a simple moving average (SMA).
Here's the formula for Cutler's RSI:
1. Calculate the price change: Price Change = Current Price - Previous Price
2. Calculate the average gain and average loss over a specified period (usually 14 days):
If Price Change > 0, add it to the total gains.
If Price Change < 0, add the absolute value to the total losses.
3. Calculate the average gain and average loss by dividing the totals by the specified period: Average Gain = Total Gains / Period, Average Loss = Total Losses / Period
4. Calculate the Relative Strength (RS): RS = Average Gain / Average Loss
5. Calculate Cutler's RSI: Cutler's RSI = 100 - (100 / (1 + RS))
Cutler's RSI is not necessarily better than the regular RSI; it's just a different variation of the traditional RSI that uses a simple moving average (SMA) instead of an exponential moving average (EMA) quantifiedstrategies.com. The main advantage of Cutler's RSI is that it is not data length dependent, meaning it returns consistent results regardless of the length of the period, or the starting point within a data file quantifiedstrategies.com.
However, it's worth noting that Cutler's RSI does not necessarily outperform the traditional RSI. In fact, backtests reveal that Cutler's RSI is no improvement compared to Wilder's RSI quantifiedstrategies.com. Additionally, using an SMA instead of an EMA in Cutler's RSI may result in the loss of the "believed" advantage of weighting the most recent price action aaii.com.
Both Cutler's RSI and the traditional RSI can be used to identify overbought/oversold levels, support and resistance, spot divergences for possible reversals, and confirm the signals from other indicators investopedia.com. Ultimately, the choice between Cutler's RSI and the traditional RSI depends on personal preference and the specific trading strategy being employed.
Rapid RSI
Rapid RSI is a technical analysis indicator that is a modified version of the Relative Strength Index (RSI). It was developed by Andrew Cardwell and was first introduced in the October 2006 issue of Technical Analysis of Stocks & Commodities magazine.
The Rapid RSI improves upon the regular RSI by modifying the way the average gains and losses are calculated. Here's a general breakdown of the Rapid RSI calculation:
1. Calculate the upward change (when the price has increased) and the downward change (when the price has decreased) for each period.
2. Calculate the simple moving average (SMA) of the upward changes and the SMA of the downward changes over the specified period.
3. Divide the SMA of the upward changes by the SMA of the downward changes to get the relative strength (RS).
4. Calculate the Rapid RSI by transforming the relative strength (RS) into a value ranging from 0 to 100.
By using the simple moving average (SMA) instead of the slow exponential moving average (RMA) as in the regular RSI, the Rapid RSI tends to be more responsive to recent price changes. This can help traders identify overbought and oversold conditions more quickly, potentially leading to earlier entry and exit points. However, it is important to note that a faster indicator may also produce more false signals.
Harris' RSI
Harris RSI (Relative Strength Index) is a technical indicator used in financial analysis to measure the strength or weakness of a security over time. It was developed by Larry Harris in 1986 as an alternative to the traditional RSI, which measures the price change of a security over a given period.
The Harris RSI uses a slightly different formula from the traditional RSI, but it is based on the same principles. It calculates the ratio of the average gain to the average loss over a specified period, typically 14 days. The result is then plotted on a scale of 0 to 100, with high values indicating overbought conditions and low values indicating oversold conditions.
The Harris RSI is believed to be more responsive to short-term price movements than the traditional RSI, making it useful for traders who are looking for quick trading opportunities. However, like any technical indicator, it should be used in conjunction with other forms of analysis to make informed trading decisions.
The calculation of the Harris RSI involves several steps:
1. Calculate the price change over the specified period (usually 14 days) using the following formula:
Price Change = Close Price - Prior Close Price
2. Calculate the average gain and average loss over the same period, using separate formulas for each:
Average Gain = (Sum of Gains over the Period) / Period
Average Loss = (Sum of Losses over the Period) / Period
Gains are calculated as the sum of all positive price changes over the period, while losses are calculated as the sum of all negative price changes over the period.
3. Calculate the Relative Strength (RS) as the ratio of the Average Gain to the Average Loss:
RS = Average Gain / Average Loss
4. Calculate the Harris RSI using the following formula:
Harris RSI = 100 - (100 / (1 + RS))
The resulting Harris RSI value is a number between 0 and 100, which is plotted on a chart to identify overbought or oversold conditions in the security. A value above 70 is generally considered overbought, while a value below 30 is generally considered oversold.
DEMA RSI
DEMA RSI is a variation of the Relative Strength Index (RSI) technical indicator that incorporates the Double Exponential Moving Average (DEMA) for smoothing. Like the regular RSI, the DEMA RSI is a momentum oscillator used to measure the speed and change of price movements, and it ranges from 0 to 100. Readings below 30 typically indicate oversold conditions, while readings above 70 indicate overbought conditions.
The DEMA RSI aims to improve upon the regular RSI by addressing its limitations, such as lag and false signals. By using the DEMA, a more responsive and faster RSI can be achieved. Here's a general breakdown of the DEMA RSI calculation:
1. Calculate the price change for each period, as well as the absolute value of the change.
2. Apply the DEMA smoothing technique to both the price change and its absolute value, separately. This involves calculating two sets of exponential moving averages and combining them to create a double-weighted moving average with reduced lag.
3. Divide the smoothed price change by the smoothed absolute value of the price change.
4. Transform the result into a value ranging from 0 to 100 to obtain the DEMA RSI.
The DEMA RSI is considered an improvement over the regular RSI because it provides faster and more responsive signals. This can help traders identify overbought and oversold conditions more accurately and potentially avoid false signals.
In summary, the main advantages of these RSI variations over the regular RSI are their ability to reduce noise, provide smoother lines, and be more responsive to price changes. This can lead to more accurate signals and fewer false positives in different market conditions.
TEMA RSI
TEMA RSI is a variation of the Relative Strength Index (RSI) technical indicator that incorporates the Triple Exponential Moving Average (TEMA) for smoothing. Like the regular RSI, the TEMA RSI is a momentum oscillator used to measure the speed and change of price movements, and it ranges from 0 to 100. Readings below 30 typically indicate oversold conditions, while readings above 70 indicate overbought conditions.
The TEMA RSI aims to improve upon the regular RSI by addressing its limitations, such as lag and false signals. By using the TEMA, a more responsive and faster RSI can be achieved. Here's a general breakdown of the TEMA RSI calculation:
1. Calculate the price change for each period, as well as the absolute value of the change.
2. Apply the TEMA smoothing technique to both the price change and its absolute value, separately. This involves calculating two sets of exponential moving averages and combining them to create a double-weighted moving average with reduced lag.
3. Divide the smoothed price change by the smoothed absolute value of the price change.
4. Transform the result into a value ranging from 0 to 100 to obtain the TEMA RSI.
The TEMA RSI is considered an improvement over the regular RSI because it provides faster and more responsive signals. This can help traders identify overbought and oversold conditions more accurately and potentially avoid false signals.
T3 RSI
T3 RSI is a variation of the Relative Strength Index (RSI) technical indicator that incorporates the Tilson T3 for smoothing. Like the regular RSI, the T3 RSI is a momentum oscillator used to measure the speed and change of price movements, and it ranges from 0 to 100. Readings below 30 typically indicate oversold conditions, while readings above 70 indicate overbought conditions.
The T3 RSI aims to improve upon the regular RSI by addressing its limitations, such as lag and false signals. By using the T3, a more responsive and faster RSI can be achieved. Here's a general breakdown of the T3 RSI calculation:
1. Calculate the price change for each period, as well as the absolute value of the change.
2. Apply the T3 smoothing technique to both the price change and its absolute value, separately. This involves calculating two sets of exponential moving averages and combining them to create a double-weighted moving average with reduced lag.
3. Divide the smoothed price change by the smoothed absolute value of the price change.
4. Transform the result into a value ranging from 0 to 100 to obtain the T3 RSI.
The T3 RSI is considered an improvement over the regular RSI because it provides faster and more responsive signals. This can help traders identify overbought and oversold conditions more accurately and potentially avoid false signals.
Jurik RSX
The Jurik RSX is a technical indicator developed by Mark Jurik to measure the momentum and strength of price movements in financial markets, such as stocks, commodities, and currencies. It is an advanced version of the traditional Relative Strength Index (RSI), designed to offer smoother and less lagging signals compared to the standard RSI.
The main advantage of the Jurik RSX is that it provides more accurate and timely signals for traders and analysts, thanks to its improved calculation methods that reduce noise and lag in the indicator's output. This enables better decision-making when analyzing market trends and potential trading opportunities.
What is Adaptive-Lookback Variety RSI
This indicator allows the user to select from 9 different RSI types and 33 source types. The various RSI types is enhanced by injecting an adaptive lookback period into the caculation making the RSI able to adaptive to differing market conditions.
Additional Features
This indicator allows you to select from 33 source types. They are as follows:
Close
Open
High
Low
Median
Typical
Weighted
Average
Average Median Body
Trend Biased
Trend Biased (Extreme)
HA Close
HA Open
HA High
HA Low
HA Median
HA Typical
HA Weighted
HA Average
HA Average Median Body
HA Trend Biased
HA Trend Biased (Extreme)
HAB Close
HAB Open
HAB High
HAB Low
HAB Median
HAB Typical
HAB Weighted
HAB Average
HAB Average Median Body
HAB Trend Biased
HAB Trend Biased (Extreme)
What are Heiken Ashi "better" candles?
Heiken Ashi "better" candles are a modified version of the standard Heiken Ashi candles, which are a popular charting technique used in technical analysis. Heiken Ashi candles help traders identify trends and potential reversal points by smoothing out price data and reducing market noise. The "better formula" was proposed by Sebastian Schmidt in an article published by BNP Paribas in Warrants & Zertifikate, a German magazine, in August 2004. The aim of this formula is to further improve the smoothing of the Heiken Ashi chart and enhance its effectiveness in identifying trends and reversals.
Standard Heiken Ashi candles are calculated using the following formulas:
Heiken Ashi Close = (Open + High + Low + Close) / 4
Heiken Ashi Open = (Previous Heiken Ashi Open + Previous Heiken Ashi Close) / 2
Heiken Ashi High = Max (High, Heiken Ashi Open, Heiken Ashi Close)
Heiken Ashi Low = Min (Low, Heiken Ashi Open, Heiken Ashi Close)
The "better formula" modifies the standard Heiken Ashi calculation by incorporating additional smoothing, which can help reduce noise and make it easier to identify trends and reversals. The modified formulas for Heiken Ashi "better" candles are as follows:
Better Heiken Ashi Close = (Open + High + Low + Close) / 4
Better Heiken Ashi Open = (Previous Better Heiken Ashi Open + Previous Better Heiken Ashi Close) / 2
Better Heiken Ashi High = Max (High, Better Heiken Ashi Open, Better Heiken Ashi Close)
Better Heiken Ashi Low = Min (Low, Better Heiken Ashi Open, Better Heiken Ashi Close)
Smoothing Factor = 2 / (N + 1), where N is the chosen period for smoothing
Smoothed Better Heiken Ashi Open = (Better Heiken Ashi Open * Smoothing Factor) + (Previous Smoothed Better Heiken Ashi Open * (1 - Smoothing Factor))
Smoothed Better Heiken Ashi Close = (Better Heiken Ashi Close * Smoothing Factor) + (Previous Smoothed Better Heiken Ashi Close * (1 - Smoothing Factor))
The smoothed Better Heiken Ashi Open and Close values are then used to calculate the smoothed Better Heiken Ashi High and Low values, resulting in "better" candles that provide a clearer representation of the market trend and potential reversal points.
It's important to note that, like any other technical analysis tool, Heiken Ashi "better" candles are not foolproof and should be used in conjunction with other indicators and analysis techniques to make well-informed trading decisions.
Heiken Ashi "better" candles, as mentioned previously, provide a clearer representation of market trends and potential reversal points by reducing noise and smoothing out price data. When using these candles in conjunction with other technical analysis tools and indicators, traders can gain valuable insights into market behavior and make more informed decisions.
To effectively use Heiken Ashi "better" candles in your trading strategy, consider the following tips:
Trend Identification: Heiken Ashi "better" candles can help you identify the prevailing trend in the market. When the majority of the candles are green (or another color, depending on your chart settings) and there are no or few lower wicks, it may indicate a strong uptrend. Conversely, when the majority of the candles are red (or another color) and there are no or few upper wicks, it may signal a strong downtrend.
Trend Reversals: Look for potential trend reversals when a change in the color of the candles occurs, especially when accompanied by longer wicks. For example, if a green candle with a long lower wick is followed by a red candle, it could indicate a bearish reversal. Similarly, a red candle with a long upper wick followed by a green candle may suggest a bullish reversal.
Support and Resistance: You can use Heiken Ashi "better" candles to identify potential support and resistance levels. When the candles are consistently moving in one direction and then suddenly change color with longer wicks, it could indicate the presence of a support or resistance level.
Stop-Loss and Take-Profit: Using Heiken Ashi "better" candles can help you manage risk by determining optimal stop-loss and take-profit levels. For instance, you can place your stop-loss below the low of the most recent green candle in an uptrend or above the high of the most recent red candle in a downtrend.
Confirming Signals: Heiken Ashi "better" candles should be used in conjunction with other technical indicators, such as moving averages, oscillators, or chart patterns, to confirm signals and improve the accuracy of your analysis.
In this implementation, you have the choice of AMA, KAMA, or T3 smoothing. These are as follows:
Kaufman Adaptive Moving Average (KAMA)
The Kaufman Adaptive Moving Average (KAMA) is a type of adaptive moving average used in technical analysis to smooth out price fluctuations and identify trends. The KAMA adjusts its smoothing factor based on the market's volatility, making it more responsive in volatile markets and smoother in calm markets. The KAMA is calculated using three different efficiency ratios that determine the appropriate smoothing factor for the current market conditions. These ratios are based on the noise level of the market, the speed at which the market is moving, and the length of the moving average. The KAMA is a popular choice among traders who prefer to use adaptive indicators to identify trends and potential reversals.
Adaptive Moving Average
The Adaptive Moving Average (AMA) is a type of moving average that adjusts its sensitivity to price movements based on market conditions. It uses a ratio between the current price and the highest and lowest prices over a certain lookback period to determine its level of smoothing. The AMA can help reduce lag and increase responsiveness to changes in trend direction, making it useful for traders who want to follow trends while avoiding false signals. The AMA is calculated by multiplying a smoothing constant with the difference between the current price and the previous AMA value, then adding the result to the previous AMA value.
T3
The T3 moving average is a type of technical indicator used in financial analysis to identify trends in price movements. It is similar to the Exponential Moving Average (EMA) and the Double Exponential Moving Average (DEMA), but uses a different smoothing algorithm.
The T3 moving average is calculated using a series of exponential moving averages that are designed to filter out noise and smooth the data. The resulting smoothed data is then weighted with a non-linear function to produce a final output that is more responsive to changes in trend direction.
The T3 moving average can be customized by adjusting the length of the moving average, as well as the weighting function used to smooth the data. It is commonly used in conjunction with other technical indicators as part of a larger trading strategy.
█ Giga Kaleidoscope Modularized Trading System
Core components of an NNFX algorithmic trading strategy
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend
3. Confirmation 1 - a technical indicator used to identify trends
4. Confirmation 2 - a technical indicator used to identify trends
5. Continuation - a technical indicator used to identify trends
6. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown
7. Exit - a technical indicator used to determine when a trend is exhausted
What is Volatility in the NNFX trading system?
In the NNFX (No Nonsense Forex) trading system, ATR (Average True Range) is typically used to measure the volatility of an asset. It is used as a part of the system to help determine the appropriate stop loss and take profit levels for a trade. ATR is calculated by taking the average of the true range values over a specified period.
True range is calculated as the maximum of the following values:
-Current high minus the current low
-Absolute value of the current high minus the previous close
-Absolute value of the current low minus the previous close
ATR is a dynamic indicator that changes with changes in volatility. As volatility increases, the value of ATR increases, and as volatility decreases, the value of ATR decreases. By using ATR in NNFX system, traders can adjust their stop loss and take profit levels according to the volatility of the asset being traded. This helps to ensure that the trade is given enough room to move, while also minimizing potential losses.
Other types of volatility include True Range Double (TRD), Close-to-Close, and Garman-Klass
What is a Baseline indicator?
The baseline is essentially a moving average, and is used to determine the overall direction of the market.
The baseline in the NNFX system is used to filter out trades that are not in line with the long-term trend of the market. The baseline is plotted on the chart along with other indicators, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR).
Trades are only taken when the price is in the same direction as the baseline. For example, if the baseline is sloping upwards, only long trades are taken, and if the baseline is sloping downwards, only short trades are taken. This approach helps to ensure that trades are in line with the overall trend of the market, and reduces the risk of entering trades that are likely to fail.
By using a baseline in the NNFX system, traders can have a clear reference point for determining the overall trend of the market, and can make more informed trading decisions. The baseline helps to filter out noise and false signals, and ensures that trades are taken in the direction of the long-term trend.
What is a Confirmation indicator?
Confirmation indicators are technical indicators that are used to confirm the signals generated by primary indicators. Primary indicators are the core indicators used in the NNFX system, such as the Average True Range (ATR), the Moving Average (MA), and the Relative Strength Index (RSI).
The purpose of the confirmation indicators is to reduce false signals and improve the accuracy of the trading system. They are designed to confirm the signals generated by the primary indicators by providing additional information about the strength and direction of the trend.
Some examples of confirmation indicators that may be used in the NNFX system include the Bollinger Bands, the MACD (Moving Average Convergence Divergence), and the MACD Oscillator. These indicators can provide information about the volatility, momentum, and trend strength of the market, and can be used to confirm the signals generated by the primary indicators.
In the NNFX system, confirmation indicators are used in combination with primary indicators and other filters to create a trading system that is robust and reliable. By using multiple indicators to confirm trading signals, the system aims to reduce the risk of false signals and improve the overall profitability of the trades.
What is a Continuation indicator?
In the NNFX (No Nonsense Forex) trading system, a continuation indicator is a technical indicator that is used to confirm a current trend and predict that the trend is likely to continue in the same direction. A continuation indicator is typically used in conjunction with other indicators in the system, such as a baseline indicator, to provide a comprehensive trading strategy.
What is a Volatility/Volume indicator?
Volume indicators, such as the On Balance Volume (OBV), the Chaikin Money Flow (CMF), or the Volume Price Trend (VPT), are used to measure the amount of buying and selling activity in a market. They are based on the trading volume of the market, and can provide information about the strength of the trend. In the NNFX system, volume indicators are used to confirm trading signals generated by the Moving Average and the Relative Strength Index. Volatility indicators include Average Direction Index, Waddah Attar, and Volatility Ratio. In the NNFX trading system, volatility is a proxy for volume and vice versa.
By using volume indicators as confirmation tools, the NNFX trading system aims to reduce the risk of false signals and improve the overall profitability of trades. These indicators can provide additional information about the market that is not captured by the primary indicators, and can help traders to make more informed trading decisions. In addition, volume indicators can be used to identify potential changes in market trends and to confirm the strength of price movements.
What is an Exit indicator?
The exit indicator is used in conjunction with other indicators in the system, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR), to provide a comprehensive trading strategy.
The exit indicator in the NNFX system can be any technical indicator that is deemed effective at identifying optimal exit points. Examples of exit indicators that are commonly used include the Parabolic SAR, the Average Directional Index (ADX), and the Chandelier Exit.
The purpose of the exit indicator is to identify when a trend is likely to reverse or when the market conditions have changed, signaling the need to exit a trade. By using an exit indicator, traders can manage their risk and prevent significant losses.
In the NNFX system, the exit indicator is used in conjunction with a stop loss and a take profit order to maximize profits and minimize losses. The stop loss order is used to limit the amount of loss that can be incurred if the trade goes against the trader, while the take profit order is used to lock in profits when the trade is moving in the trader's favor.
Overall, the use of an exit indicator in the NNFX trading system is an important component of a comprehensive trading strategy. It allows traders to manage their risk effectively and improve the profitability of their trades by exiting at the right time.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 and Continuation module (Confirmation 1/2 and Continuation, Numbers 3, 4, and 5 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 6 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 7 in the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data between modules. Data is passed between each module as described below:
GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-C(Continuation) => GKD-E => GKD-BT
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Continuation indicator. The Continuation indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility, and 2 backtesting styles
Baseline: Hull Moving Average
Volatility/Volume: Hurst Exponent
Confirmation 1: Adaptive-Lookback Variety RSI as shown on the chart above
Confirmation 2: Williams Percent Range
Continuation: Adaptive-Lookback Variety RSI
Exit: Rex Oscillator
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain.
Giga Kaleidoscope Modularized Trading System Signals (based on the NNFX algorithm)
Standard Entry
1. GKD-C Confirmation 1 Signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
6. GKD-C Confirmation 1 signal was less than 7 candles prior
Volatility/Volume Entry
1. GKD-V Volatility/Volume signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-B Baseline agrees
6. GKD-C Confirmation 1 signal was less than 7 candles prior
Continuation Entry
1. Standard Entry, Baseline Entry, or Pullback; entry triggered previously
2. GKD-B Baseline hasn't crossed since entry signal trigger
3. GKD-C Confirmation Continuation Indicator signals
4. GKD-C Confirmation 1 agrees
5. GKD-B Baseline agrees
6. GKD-C Confirmation 2 agrees
1-Candle Rule Standard Entry
1. GKD-C Confirmation 1 signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
1-Candle Rule Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 1 signal was less than 7 candles prior
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
1-Candle Rule Volatility/Volume Entry
1. GKD-V Volatility/Volume signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 1 signal was less than 7 candles prior
Next Candle:
1. Price retraced (Long: close < close or Short: close > close)
2. GKD-B Volatility/Volume agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-B Baseline agrees
PullBack Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is beyond 1.0x Volatility of Baseline
Next Candle:
1. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
2. GKD-C Confirmation 1 agrees
3. GKD-C Confirmation 2 agrees
4. GKD-V Volatility/Volume Agrees
]█ Setting up the GKD
The GKD system involves chaining indicators together. These are the steps to set this up.
Use a GKD-C indicator alone on a chart
1. Inside the GKD-C indicator, change the "Confirmation Type" setting to "Solo Confirmation Simple"
Use a GKD-V indicator alone on a chart
**nothing, it's already useable on the chart without any settings changes
Use a GKD-B indicator alone on a chart
**nothing, it's already useable on the chart without any settings changes
Baseline (Baseline, Backtest)
1. Import the GKD-B Baseline into the GKD-BT Backtest: "Input into Volatility/Volume or Backtest (Baseline testing)"
2. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "Baseline"
Volatility/Volume (Volatility/Volume, Backte st)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Solo"
2. Inside the GKD-V indicator, change the "Signal Type" setting to "Crossing" (neither traditional nor both can be backtested)
3. Import the GKD-V indicator into the GKD-BT Backtest: "Input into C1 or Backtest"
4. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "Volatility/Volume"
5. Inside the GKD-BT Backtest, a) change the setting "Backtest Type" to "Trading" if using a directional GKD-V indicator; or, b) change the setting "Backtest Type" to "Full" if using a directional or non-directional GKD-V indicator (non-directional GKD-V can only test Longs and Shorts separately)
6. If "Backtest Type" is set to "Full": Inside the GKD-BT Backtest, change the setting "Backtest Side" to "Long" or "Short
7. If "Backtest Type" is set to "Full": To allow the system to open multiple orders at one time so you test all Longs or Shorts, open the GKD-BT Backtest, click the tab "Properties" and then insert a value of something like 10 orders into the "Pyramiding" settings. This will allow 10 orders to be opened at one time which should be enough to catch all possible Longs or Shorts.
Solo Confirmation Simple (Confirmation, Backtest)
1. Inside the GKD-C indicator, change the "Confirmation Type" setting to "Solo Confirmation Simple"
1. Import the GKD-C indicator into the GKD-BT Backtest: "Input into Backtest"
2. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "Solo Confirmation Simple"
Solo Confirmation Complex without Exits (Baseline, Volatility/Volume, Confirmation, Backtest)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Chained"
2. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)"
3. Inside the GKD-C indicator, change the "Confirmation Type" setting to "Solo Confirmation Complex"
4. Import the GKD-V indicator into the GKD-C indicator: "Input into C1 or Backtest"
5. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "GKD Full wo/ Exits"
6. Import the GKD-C into the GKD-BT Backtest: "Input into Exit or Backtest"
Solo Confirmation Complex with Exits (Baseline, Volatility/Volume, Confirmation, Exit, Backtest)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Chained"
2. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)"
3. Inside the GKD-C indicator, change the "Confirmation Type" setting to "Solo Confirmation Complex"
4. Import the GKD-V indicator into the GKD-C indicator: "Input into C1 or Backtest"
5. Import the GKD-C indicator into the GKD-E indicator: "Input into Exit"
6. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "GKD Full w/ Exits"
7. Import the GKD-E into the GKD-BT Backtest: "Input into Backtest"
Full GKD without Exits (Baseline, Volatility/Volume, Confirmation 1, Confirmation 2, Continuation, Backtest)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Chained"
2. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)"
3. Inside the GKD-C 1 indicator, change the "Confirmation Type" setting to "Confirmation 1"
4. Import the GKD-V indicator into the GKD-C 1 indicator: "Input into C1 or Backtest"
5. Inside the GKD-C 2 indicator, change the "Confirmation Type" setting to "Confirmation 2"
6. Import the GKD-C 1 indicator into the GKD-C 2 indicator: "Input into C2"
7. Inside the GKD-C Continuation indicator, change the "Confirmation Type" setting to "Continuation"
8. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "GKD Full wo/ Exits"
9. Import the GKD-E into the GKD-BT Backtest: "Input into Exit or Backtest"
Full GKD with Exits (Baseline, Volatility/Volume, Confirmation 1, Confirmation 2, Continuation, Exit, Backtest)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Chained"
2. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)"
3. Inside the GKD-C 1 indicator, change the "Confirmation Type" setting to "Confirmation 1"
4. Import the GKD-V indicator into the GKD-C 1 indicator: "Input into C1 or Backtest"
5. Inside the GKD-C 2 indicator, change the "Confirmation Type" setting to "Confirmation 2"
6. Import the GKD-C 1 indicator into the GKD-C 2 indicator: "Input into C2"
7. Inside the GKD-C Continuation indicator, change the "Confirmation Type" setting to "Continuation"
8. Import the GKD-C Continuation indicator into the GKD-E indicator: "Input into Exit"
9. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "GKD Full w/ Exits"
10. Import the GKD-E into the GKD-BT Backtest: "Input into Backtest"
Baseline + Volatility/Volume (Baseline, Volatility/Volume, Backtest)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Baseline + Volatility/Volume"
2. Inside the GKD-V indicator, make sure the "Signal Type" setting is set to "Traditional"
3. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)"
4. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "Baseline + Volatility/Volume"
5. Import the GKD-V into the GKD-BT Backtest: "Input into C1 or Backtest"
6. Inside the GKD-BT Backtest, change the setting "Backtest Type" to "Full". For this backtest, you must test Longs and Shorts separately
7. To allow the system to open multiple orders at one time so you can test all Longs or Shorts, open the GKD-BT Backtest, click the tab "Properties" and then insert a value of something like 10 orders into the "Pyramiding" settings. This will allow 10 orders to be opened at one time which should be enough to catch all possible Longs or Shorts.
Requirements
Inputs
Confirmation 1: GKD-V Volatility / Volume indicator
Confirmation 2: GKD-C Confirmation indicator
Continuation: GKD-C Confirmation indicator
Solo Confirmation Simple: GKD-B Baseline
Solo Confirmation Complex: GKD-V Volatility / Volume indicator
Solo Confirmation Super Complex: GKD-V Volatility / Volume indicator
Stacked 1: None
Stacked 2+: GKD-C, GKD-V, or GKD-B Stacked 1
Outputs
Confirmation 1: GKD-C Confirmation 2 indicator
Confirmation 2: GKD-C Continuation indicator
Continuation: GKD-E Exit indicator
Solo Confirmation Simple: GKD-BT Backtest
Solo Confirmation Complex: GKD-BT Backtest or GKD-E Exit indicator
Solo Confirmation Super Complex: GKD-C Continuation indicator
Stacked 1: GKD-C, GKD-V, or GKD-B Stacked 2+
Stacked 2+: GKD-C, GKD-V, or GKD-B Stacked 2+ or GKD-BT Backtest
Additional features will be added in future releases.
Degen IndicatorThis indicator uses candle patterns I have identified by studying cryptocurrency charts. The main goal is to help you tune out noise and price swings so you are better able to trade with the trend. If you can trade with the trend you will be profitable. Don’t fight the trend.
Signals:
Orange T with Orange Bar - Top
Grey T - Weak Top
Orange P - Pause (Minimal pullback expected before additional upside)
Grey B - Weak Bottom
Green B - Possible Bottom
Blue B with Blue Bar - Likely Bottom
Grey D - Weak Dump
Pink D - Possible Dump
Red D - Likely Dump
Bar Colors:
Grey Green #699969 (Slightly Bullish)
Green #2ca02c (Bullish)
Bright Green #00ff00 (Strong Bullish)
Light Pink #cf6666 (Slightly Bearish)
Red #d62728 (Bearish)
Bright Red #ff0000 (Strong Bearish)
Orange Top #ff9800 (Local price maximum)
Blue Bottom #0066ff (Local price minimum)
Recommended Settings:
Change the Body and the Wick to be Grey. Deselect Border.
Purpose:
Making the default bar colors Grey will help you tune into the trend. Look for clusters of candles where only one non Grey color is present. If there are 3 - 5 or more of the same color also pay attention to the size of the candles. You can see the strength of the moves if they are growing or shrinking in size. Oftentimes a trend will end with an Engulfing Candle after a cluster of candles with the other color. Use this as a sign to exit your position and/or enter a new position.
Advice:
Start on HTF and find the clusters of Tops and Bottoms. Dial into lower timeframes to find the local Tops and Bottoms for entry points. Look for clusters of signals. Be ready for one candle to signify a change in the trend then look for confirmation with additional candles. Do not think about Tops or Bottoms as absolutes. A Top that gets beat with a Bullish Engulfing candle is telling you the Bullish strength is strong. Do not short Grey D’s. Do not long Grey B’s. As always, use these signals in conjunction with your other preferred methods of trading to find confluence and trade with the trend. On LTF this indicator will be very noisy. On HTF it will be more stable.
Logic:
Signals were developed by myself and subjected to extensive backtesting. Each signal uses various combinations of: candle names (Doji, Morning Star, Bearish Engulfing, Bullish Engulfing, etc), volume, price change as a percent, price change as an absolute number, length of the wick the open, close, high, and low candle values. The signals incorporate these values ranging from one candle prior to many candles prior attempting to predict the trend.
Logic not used:
Moving Averages, RSI, OBV, VPVR and Bollinger Bands.
[TTI] IBD's 3 (three) weeks tight close pattern––––HISTORY & CREDITS 🏦
The Three Weeks Tight Close pattern is a technical analysis pattern that occurs when a stock closes at nearly the same price for three consecutive weeks, suggesting a period of consolidation before the stock moves in a new direction. The concept of "line of least resistance" as mentioned by Jesse Livermore is closely related to this pattern. It indicates that there is a period of indecision in the market, with buyers and sellers fairly evenly matched. This pattern is often associated with stocks that have strong fundamentals and a solid business model. The pattern was first discovered by Investor's Business Daily founder William Bill O'Neill.
––––WHAT IT DOES 💡
The Three Weeks Tight Close pattern helps traders identify periods of consolidation in a stock's price movement. During these periods, the stock's closing price remains nearly unchanged for three consecutive weeks. This pattern can be a signal that the stock is under accumulation and potentially ready to make a significant move in either an upward or downward direction. By identifying these tight closes, traders can prepare to take advantage of the solid price run and make profitable trades.
The indicator plots 3 different dots/squares above the weekly bar on order to indicate which consecutive tight close wee have.
👉 Cyan color indicates 3 week tight closes
👉 Pink color indicates 4 week tight closes
👉 Red color indicates 5 week tight closes
––––HOW TO USE IT 🔧
• Focus on weekly charts for easier identification.
• Look for three consecutive weekly closes with nearly the same price, within 1-1.5% of each other. Using the indicator.
• Check for low volume during the tightening period.
• Once the pattern is confirmed, switch to the daily timeframe to find the exact buy point.
• Use other technical indicators to confirm a breakout before taking a position in the stock, such as breakouts, moving averages, and trend lines.
• Monitor the position regularly to ensure continued positive price movement.
• Be patient and wait for confirmation before buying in.
• Use stop-loss orders to limit losses if the stock does not move in the expected direction.
• Consider the overall market and its impact on individual stocks before making a trade.
• Keep in mind that not all three tight closes are created equal and use technical analysis to confirm your suspicions.
By following these steps, traders can use the Three Weeks Tight Close pattern to identify potential trading opportunities and increase their chances of making profitable trades.
AutoEma by RainbowLabsAutoEma by RainbowLabs, an innovative and powerful trading indicator that identifies the most profitable EMA crossover combinations for you.
This indicator employs a systematic approach to analyze various EMA crossover combinations and evaluates their performance based on backtesting results.
Multiple EMA combinations:
"5-10", "5-15", "5-20", "5-25", "5-30", "5-35", "5-40", "5-45", "5-50", "5-60", "5-70", "5-80", "5-90", "5-100", "5-110", "5-120", "5-130", "5-140", "5-150", "5-160", "5-170", "5-180", "5-190", "5-200", "7-10", "7-15", "7-20", "7-25", "7-30", "7-35", "7-40", "7-45", "7-50", "7-60", "7-70", "7-80", "7-90", "7-100", "7-110", "7-120", "7-130", "7-140", "7-150", "7-160", "7-170", "7-180", "7-190", "7-200", "9-10", "9-15", "9-20", "9-25", "9-30","9-35", "9-40", "9-45", "9-50", "9-60", "9-70", "9-80", "9-90", "9-100", "9-110", "9-120", "9-130", "9-140", "9-150", "9-160", "9-170", "9-180", "9-190", "9-200", "12-15", "12-20", "12-25", "12-30", "12-35", "12-40", "12-45", "12-50", "12-60", "12-70", "12-80", "12-90", "12-100", "12-110", "12-120", "12-130", "12-140", "12-150", "12-160", "12-170", "12-180", "12-190", "12-200", "15-20", "15-25", "15-30", "15-35", "15-40", "15-45", "15-50", "15-60", "15-70", "15-80", "15-90", "15-100", "15-110", "15-120", "15-130", "15-140", "15-150", "15-160", "15-170", "15-180", "15-190", "15-200", "20-25", "20-30", "20-35", "20-40", "20-45", "20-50", "20-60", "20-70", "20-80", "20-90", "20-100", "20-110", "20-120", "20-130", "20-140", "20-150", "20-160", "20-170", "20-180", "20-190", "20-200", "25-30", "25-35", "25-40", "25-45", "25-50", "25-60", "25-70", "25-80", "25-90", "25-100", "25-110", "25-120", "25-130", "25-140", "25-150", "25-160", "25-170", "25-180", "25-190", "25-200", "30-35", "30-40", "30-45", "30-50", "30-60", "30-70", "30-80", "30-90","30-100", "30-110", "30-120", "30-130", "30-140", "30-150", "30-160", "30-170", "30-180", "30-190", "30-200", "35-40", "35-45","35-50", "35-60", "35-70", "35-80", "35-90", "35-100", "35-110", "35-120", "35-130", "35-140", "35-150", "35-160", "35-170","35-180", "35-190", "35-200", "40-45", "40-50", "40-60", "40-70", "40-80", "40-90", "40-100", "40-110", "40-120", "40-130","40-140", "40-150", "40-160", "40-170", "40-180", "40-190", "40-200", "45-50", "45-60", "45-70", "45-80", "45-90", "45-100","45-110", "45-120", "45-130", "45-140", "45-150", "45-160", "45-170", "45-180", "45-190", "45-200", "50-60", "50-70", "50-80","50-90", "50-100", "50-110", "50-120", "50-130", "50-140", "50-150", "50-160", "50-170", "50-180", "50-190", "50-200", "55-60","55-70", "55-80", "55-90", "55-100", "55-110", "55-120", "55-130", "55-140", "55-150", "55-160", "55-170", "55-180", "55-190","55-200", "60-70", "60-80", "60-90", "60-100", "60-110", "60-120", "60-130", "60-140", "60-150", "60-160", "60-170", "60-180","60-190", "60-200", "70-80", "70-90", "70-100", "70-110", "70-120", "70-130", "70-140", "70-150", "70-160", "70-170", "70-180", "70-190", "70-200","80-90", "80-100", "80-110", "80-120", "80-130", "80-140", "80-150","80-160", "80-170", "80-180", "80-190", "80-200", "90-100", "90-110", "90-120","90-130", "90-140", "90-150", "90-160", "90-170", "90-180", "90-190", "90-200", "100-110","100-120", "100-130", "100-140", "100-150", "100-160", "100-170", "100-180", "100-190", "100-200", "125-130", "125-140", "125-150","125-160", "125-170","125-180", "125-190", "125-200","150-160", "150-170", "150-180", "150-190", "150-200"
With its built-in performance metrics, you can assess the efficiency of different EMA combinations in terms of expectancy, profit factor, percent profitable, and drawdown.
This version is LONG only.
The script consume a lot of CPU, so its SLOW to load, consider that still 300 times faster than check each ema cross one by hand
GKD-C RSI of Fast Discrete Cosine Transform [Loxx]Giga Kaleidoscope GKD-C RSI of Fast Discrete Cosine Transform is a Confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
█ Giga Kaleidoscope Modularized Trading System
What is Loxx's "Giga Kaleidoscope Modularized Trading System"?
The Giga Kaleidoscope Modularized Trading System is a trading system built on the philosophy of the NNFX (No Nonsense Forex) algorithmic trading.
What is the NNFX algorithmic trading strategy?
The NNFX (No-Nonsense Forex) trading system is a comprehensive approach to Forex trading that is designed to simplify the process and remove the confusion and complexity that often surrounds trading. The system was developed by a Forex trader who goes by the pseudonym "VP" and has gained a significant following in the Forex community.
The NNFX trading system is based on a set of rules and guidelines that help traders make objective and informed decisions. These rules cover all aspects of trading, including market analysis, trade entry, stop loss placement, and trade management.
Here are the main components of the NNFX trading system:
1. Trading Philosophy: The NNFX trading system is based on the idea that successful trading requires a comprehensive understanding of the market, objective analysis, and strict risk management. The system aims to remove subjective elements from trading and focuses on objective rules and guidelines.
2. Technical Analysis: The NNFX trading system relies heavily on technical analysis and uses a range of indicators to identify high-probability trading opportunities. The system uses a combination of trend-following and mean-reverting strategies to identify trades.
3. Market Structure: The NNFX trading system emphasizes the importance of understanding the market structure, including price action, support and resistance levels, and market cycles. The system uses a range of tools to identify the market structure, including trend lines, channels, and moving averages.
4. Trade Entry: The NNFX trading system has strict rules for trade entry. The system uses a combination of technical indicators to identify high-probability trades, and traders must meet specific criteria to enter a trade.
5. Stop Loss Placement: The NNFX trading system places a significant emphasis on risk management and requires traders to place a stop loss order on every trade. The system uses a combination of technical analysis and market structure to determine the appropriate stop loss level.
6. Trade Management: The NNFX trading system has specific rules for managing open trades. The system aims to minimize risk and maximize profit by using a combination of trailing stops, take profit levels, and position sizing.
Overall, the NNFX trading system is designed to be a straightforward and easy-to-follow approach to Forex trading that can be applied by traders of all skill levels.
Core components of an NNFX algorithmic trading strategy
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend
3. Confirmation 1 - a technical indicator used to identify trends
4. Confirmation 2 - a technical indicator used to identify trends
5. Continuation - a technical indicator used to identify trends
6. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown
7. Exit - a technical indicator used to determine when a trend is exhausted
What is Volatility in the NNFX trading system?
In the NNFX (No Nonsense Forex) trading system, ATR (Average True Range) is typically used to measure the volatility of an asset. It is used as a part of the system to help determine the appropriate stop loss and take profit levels for a trade. ATR is calculated by taking the average of the true range values over a specified period.
True range is calculated as the maximum of the following values:
-Current high minus the current low
-Absolute value of the current high minus the previous close
-Absolute value of the current low minus the previous close
ATR is a dynamic indicator that changes with changes in volatility. As volatility increases, the value of ATR increases, and as volatility decreases, the value of ATR decreases. By using ATR in NNFX system, traders can adjust their stop loss and take profit levels according to the volatility of the asset being traded. This helps to ensure that the trade is given enough room to move, while also minimizing potential losses.
Other types of volatility include True Range Double (TRD), Close-to-Close, and Garman-Klass
What is a Baseline indicator?
The baseline is essentially a moving average, and is used to determine the overall direction of the market.
The baseline in the NNFX system is used to filter out trades that are not in line with the long-term trend of the market. The baseline is plotted on the chart along with other indicators, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR).
Trades are only taken when the price is in the same direction as the baseline. For example, if the baseline is sloping upwards, only long trades are taken, and if the baseline is sloping downwards, only short trades are taken. This approach helps to ensure that trades are in line with the overall trend of the market, and reduces the risk of entering trades that are likely to fail.
By using a baseline in the NNFX system, traders can have a clear reference point for determining the overall trend of the market, and can make more informed trading decisions. The baseline helps to filter out noise and false signals, and ensures that trades are taken in the direction of the long-term trend.
What is a Confirmation indicator?
Confirmation indicators are technical indicators that are used to confirm the signals generated by primary indicators. Primary indicators are the core indicators used in the NNFX system, such as the Average True Range (ATR), the Moving Average (MA), and the Relative Strength Index (RSI).
The purpose of the confirmation indicators is to reduce false signals and improve the accuracy of the trading system. They are designed to confirm the signals generated by the primary indicators by providing additional information about the strength and direction of the trend.
Some examples of confirmation indicators that may be used in the NNFX system include the Bollinger Bands, the MACD (Moving Average Convergence Divergence), and the Stochastic Oscillator. These indicators can provide information about the volatility, momentum, and trend strength of the market, and can be used to confirm the signals generated by the primary indicators.
In the NNFX system, confirmation indicators are used in combination with primary indicators and other filters to create a trading system that is robust and reliable. By using multiple indicators to confirm trading signals, the system aims to reduce the risk of false signals and improve the overall profitability of the trades.
What is a Continuation indicator?
In the NNFX (No Nonsense Forex) trading system, a continuation indicator is a technical indicator that is used to confirm a current trend and predict that the trend is likely to continue in the same direction. A continuation indicator is typically used in conjunction with other indicators in the system, such as a baseline indicator, to provide a comprehensive trading strategy.
What is a Volatility/Volume indicator?
Volume indicators, such as the On Balance Volume (OBV), the Chaikin Money Flow (CMF), or the Volume Price Trend (VPT), are used to measure the amount of buying and selling activity in a market. They are based on the trading volume of the market, and can provide information about the strength of the trend. In the NNFX system, volume indicators are used to confirm trading signals generated by the Moving Average and the Relative Strength Index. Volatility indicators include Average Direction Index, Waddah Attar, and Volatility Ratio. In the NNFX trading system, volatility is a proxy for volume and vice versa.
By using volume indicators as confirmation tools, the NNFX trading system aims to reduce the risk of false signals and improve the overall profitability of trades. These indicators can provide additional information about the market that is not captured by the primary indicators, and can help traders to make more informed trading decisions. In addition, volume indicators can be used to identify potential changes in market trends and to confirm the strength of price movements.
What is an Exit indicator?
The exit indicator is used in conjunction with other indicators in the system, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR), to provide a comprehensive trading strategy.
The exit indicator in the NNFX system can be any technical indicator that is deemed effective at identifying optimal exit points. Examples of exit indicators that are commonly used include the Parabolic SAR, the Average Directional Index (ADX), and the Chandelier Exit.
The purpose of the exit indicator is to identify when a trend is likely to reverse or when the market conditions have changed, signaling the need to exit a trade. By using an exit indicator, traders can manage their risk and prevent significant losses.
In the NNFX system, the exit indicator is used in conjunction with a stop loss and a take profit order to maximize profits and minimize losses. The stop loss order is used to limit the amount of loss that can be incurred if the trade goes against the trader, while the take profit order is used to lock in profits when the trade is moving in the trader's favor.
Overall, the use of an exit indicator in the NNFX trading system is an important component of a comprehensive trading strategy. It allows traders to manage their risk effectively and improve the profitability of their trades by exiting at the right time.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 and Continuation module (Confirmation 1/2 and Continuation, Numbers 3, 4, and 5 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 6 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 7 in the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data between modules. Data is passed between each module as described below:
GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-C(Continuation) => GKD-E => GKD-BT
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Continuation indicator. The Continuation indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility, and 2 backtesting styles
Baseline: Hull Moving Average
Volatility/Volume: Hurst Exponent
Confirmation 1: RSI of Fast Discrete Cosine Transform as shown on the chart above
Confirmation 2: Williams Percent Range
Continuation: Fisher Transform
Exit: Rex Oscillator
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain.
Giga Kaleidoscope Modularized Trading System Signals (based on the NNFX algorithm)
Standard Entry
1. GKD-C Confirmation 1 Signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
6. GKD-C Confirmation 1 signal was less than 7 candles prior
Continuation Entry
1. Standard Entry, Baseline Entry, or Pullback; entry triggered previously
2. GKD-B Baseline hasn't crossed since entry signal trigger
3. GKD-C Confirmation Continuation Indicator signals
4. GKD-C Confirmation 1 agrees
5. GKD-B Baseline agrees
6. GKD-C Confirmation 2 agrees
1-Candle Rule Standard Entry
1. GKD-C Confirmation 1 signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
1-Candle Rule Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 1 signal was less than 7 candles prior
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
PullBack Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is beyond 1.0x Volatility of Baseline
Next Candle:
1. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
█ Fast Discrete Cosine Transform
What is the Fast Discrete Cosine Transform?
Algolib is a C++ library for algorithmic trading that provides various algorithms for processing and analyzing financial data. The library includes a Fast Discrete Cosine Transform (FDCT) implementation, which is a fast version of the Discrete Cosine Transform (DCT) algorithm used for signal processing and data compression.
The FDCT implementation in Algolib is based on the FFT (Fast Fourier Transform) algorithm, which is a widely used method for computing the DCT. The implementation is optimized for performance and can handle large datasets efficiently. It uses the standard divide-and-conquer approach to compute the DCT recursively and combines the resulting coefficients to obtain the final DCT of the input signal.
The input to the FDCT algorithm in Algolib is a one-dimensional array of real numbers, which represents a time series or a financial signal. The algorithm then computes the DCT of the input sequence and returns a one-dimensional array of DCT coefficients, which represent the frequency components of the signal.
The implementation of the FDCT algorithm in Algolib uses C++ templates to provide a generic implementation that can work with different data types. It also includes various optimizations, such as loop unrolling, to improve the performance of the algorithm.
The steps involved in the FDCT algorithm in Algolib are:
-Divide the input sequence into even and odd parts.
-Compute the DCT of the even and odd parts recursively.
-Combine the DCT coefficients of the even and odd parts to obtain the final DCT coefficients.
-The implementation of the FDCT algorithm in Algolib uses the FFTW (Fastest Fourier Transform in the West) library to perform the FFT computations, which is a highly optimized library for computing Fourier transforms.
In summary, the Fast Discrete Cosine Transform implementation in Algolib is a fast and efficient implementation of the DCT algorithm, which is used for processing financial signals and time series data. The implementation is optimized for performance and uses the FFT algorithm for fast computation. The implementation is generic and can work with different data types, and includes optimizations such as loop unrolling to improve the performance of the algorithm.
What is the Fast Discrete Cosine Transform in terms of Forex trading?
The Fast Discrete Cosine Transform (FDCT) is an algorithm used for signal processing and data compression that can also be applied in trading forex. The FDCT is used to transform financial data into a set of coefficients that represent the data in terms of cosine functions of different frequencies. These coefficients can be used to analyze the frequency components of financial signals and to develop trading strategies based on these components.
In trading forex, the FDCT can be applied to various financial signals, such as price data, volume data, and technical indicators. By applying the FDCT to these signals, traders can identify the dominant frequency components of the signals and use this information to develop trading strategies.
For example, traders can use the FDCT to identify cycles in the market and use this information to develop trend-following strategies. The FDCT can also be used to identify short-term fluctuations in the market and develop mean-reversion strategies based on these fluctuations.
The FDCT can also be used in combination with other technical analysis tools, such as moving averages, to improve the accuracy of trading signals. For example, traders can apply the FDCT to the moving average of a financial signal to identify the dominant frequency components of the moving average and use this information to develop trading signals.
The FDCT can also be used in conjunction with machine learning algorithms to develop predictive models for financial markets. By applying the FDCT to financial data and using the resulting coefficients as inputs to a machine learning algorithm, traders can develop models that predict future price movements and identify profitable trading opportunities.
In summary, the FDCT can be applied in trading forex to analyze the frequency components of financial signals and develop trading strategies based on these components. The FDCT can be used in conjunction with other technical analysis tools and machine learning algorithms to improve the accuracy of trading signals and develop predictive models for financial markets.
What is the Fast Discrete Cosine Transform in terms of Forex trading?
The Fast Discrete Cosine Transform (FDCT) is an algorithm used for signal processing and data compression that can also be applied in trading forex. The FDCT is used to transform financial data into a set of coefficients that represent the data in terms of cosine functions of different frequencies. These coefficients can be used to analyze the frequency components of financial signals and to develop trading strategies based on these components.
In trading forex, the FDCT can be applied to various financial signals, such as price data, volume data, and technical indicators. By applying the FDCT to these signals, traders can identify the dominant frequency components of the signals and use this information to develop trading strategies.
For example, traders can use the FDCT to identify cycles in the market and use this information to develop trend-following strategies. The FDCT can also be used to identify short-term fluctuations in the market and develop mean-reversion strategies based on these fluctuations.
The FDCT can also be used in combination with other technical analysis tools, such as moving averages, to improve the accuracy of trading signals. For example, traders can apply the FDCT to the moving average of a financial signal to identify the dominant frequency components of the moving average and use this information to develop trading signals.
The FDCT can also be used in conjunction with machine learning algorithms to develop predictive models for financial markets. By applying the FDCT to financial data and using the resulting coefficients as inputs to a machine learning algorithm, traders can develop models that predict future price movements and identify profitable trading opportunities.
In summary, the FDCT can be applied in trading forex to analyze the frequency components of financial signals and develop trading strategies based on these components. The FDCT can be used in conjunction with other technical analysis tools and machine learning algorithms to improve the accuracy of trading signals and develop predictive models for financial markets.
█ Relative Strength Index (RSI)
This indicator contains 7 different types of RSI .
RSX
Regular
Slow
Rapid
Harris
Cuttler
Ehlers Smoothed
What is RSI?
RSI stands for Relative Strength Index . It is a technical indicator used to measure the strength or weakness of a financial instrument's price action.
The RSI is calculated based on the price movement of an asset over a specified period of time, typically 14 days, and is expressed on a scale of 0 to 100. The RSI is considered overbought when it is above 70 and oversold when it is below 30.
Traders and investors use the RSI to identify potential buy and sell signals. When the RSI indicates that an asset is oversold, it may be considered a buying opportunity, while an overbought RSI may signal that it is time to sell or take profits.
It's important to note that the RSI should not be used in isolation and should be used in conjunction with other technical and fundamental analysis tools to make informed trading decisions.
What is RSX?
Jurik RSX is a technical analysis indicator that is a variation of the Relative Strength Index Smoothed ( RSX ) indicator. It was developed by Mark Jurik and is designed to help traders identify trends and momentum in the market.
The Jurik RSX uses a combination of the RSX indicator and an adaptive moving average (AMA) to smooth out the price data and reduce the number of false signals. The adaptive moving average is designed to adjust the smoothing period based on the current market conditions, which makes the indicator more responsive to changes in price.
The Jurik RSX can be used to identify potential trend reversals and momentum shifts in the market. It oscillates between 0 and 100, with values above 50 indicating a bullish trend and values below 50 indicating a bearish trend . Traders can use these levels to make trading decisions, such as buying when the indicator crosses above 50 and selling when it crosses below 50.
The Jurik RSX is a more advanced version of the RSX indicator, and while it can be useful in identifying potential trade opportunities, it should not be used in isolation. It is best used in conjunction with other technical and fundamental analysis tools to make informed trading decisions.
What is Slow RSI?
Slow RSI is a variation of the traditional Relative Strength Index ( RSI ) indicator. It is a more smoothed version of the RSI and is designed to filter out some of the noise and short-term price fluctuations that can occur with the standard RSI .
The Slow RSI uses a longer period of time than the traditional RSI , typically 21 periods instead of 14. This longer period helps to smooth out the price data and makes the indicator less reactive to short-term price fluctuations.
Like the traditional RSI , the Slow RSI is used to identify potential overbought and oversold conditions in the market. It oscillates between 0 and 100, with values above 70 indicating overbought conditions and values below 30 indicating oversold conditions. Traders often use these levels as potential buy and sell signals.
The Slow RSI is a more conservative version of the RSI and can be useful in identifying longer-term trends in the market. However, it can also be slower to respond to changes in price, which may result in missed trading opportunities. Traders may choose to use a combination of both the Slow RSI and the traditional RSI to make informed trading decisions.
What is Rapid RSI?
Same as regular RSI but with a faster calculation method
What is Harris RSI?
Harris RSI is a technical analysis indicator that is a variation of the Relative Strength Index ( RSI ). It was developed by Larry Harris and is designed to help traders identify potential trend changes and momentum shifts in the market.
The Harris RSI uses a different calculation formula compared to the traditional RSI . It takes into account both the opening and closing prices of a financial instrument, as well as the high and low prices. The Harris RSI is also normalized to a range of 0 to 100, with values above 50 indicating a bullish trend and values below 50 indicating a bearish trend .
Like the traditional RSI , the Harris RSI is used to identify potential overbought and oversold conditions in the market. It oscillates between 0 and 100, with values above 70 indicating overbought conditions and values below 30 indicating oversold conditions. Traders often use these levels as potential buy and sell signals.
The Harris RSI is a more advanced version of the RSI and can be useful in identifying longer-term trends in the market. However, it can also generate more false signals than the standard RSI . Traders may choose to use a combination of both the Harris RSI and the traditional RSI to make informed trading decisions.
What is Cuttler RSI?
Cuttler RSI is a technical analysis indicator that is a variation of the Relative Strength Index ( RSI ). It was developed by Curt Cuttler and is designed to help traders identify potential trend changes and momentum shifts in the market.
The Cuttler RSI uses a different calculation formula compared to the traditional RSI . It takes into account the difference between the closing price of a financial instrument and the average of the high and low prices over a specified period of time. This difference is then normalized to a range of 0 to 100, with values above 50 indicating a bullish trend and values below 50 indicating a bearish trend .
Like the traditional RSI , the Cuttler RSI is used to identify potential overbought and oversold conditions in the market. It oscillates between 0 and 100, with values above 70 indicating overbought conditions and values below 30 indicating oversold conditions. Traders often use these levels as potential buy and sell signals.
The Cuttler RSI is a more advanced version of the RSI and can be useful in identifying longer-term trends in the market. However, it can also generate more false signals than the standard RSI . Traders may choose to use a combination of both the Cuttler RSI and the traditional RSI to make informed trading decisions.
What is Ehlers Smoothed RSI?
Ehlers smoothed RSI is a technical analysis indicator that is a variation of the Relative Strength Index ( RSI ). It was developed by John Ehlers and is designed to help traders identify potential trend changes and momentum shifts in the market.
The Ehlers smoothed RSI uses a different calculation formula compared to the traditional RSI . It uses a smoothing algorithm that is designed to reduce the noise and random fluctuations that can occur with the standard RSI . The smoothing algorithm is based on a concept called "digital signal processing" and is intended to improve the accuracy of the indicator.
Like the traditional RSI , the Ehlers smoothed RSI is used to identify potential overbought and oversold conditions in the market. It oscillates between 0 and 100, with values above 70 indicating overbought conditions and values below 30 indicating oversold conditions. Traders often use these levels as potential buy and sell signals.
The Ehlers smoothed RSI can be useful in identifying longer-term trends and momentum shifts in the market. However, it can also generate more false signals than the standard RSI . Traders may choose to use a combination of both the Ehlers smoothed RSI and the traditional RSI to make informed trading decisions.
█ GKD-C RSI of Fast Discrete Cosine Transform
What is the RSI of Fast Discrete Cosine Transform in terms of Forex trading?
The Relative Strength Index (RSI) is a popular technical indicator used in trading forex to measure the strength of a trend and identify potential trend reversals. While the Fast Discrete Cosine Transform (FDCT) is not directly related to the RSI, it can be used to analyze the frequency components of the price data used to calculate the RSI and improve its accuracy.
The RSI is calculated by comparing the average gains and losses of a financial instrument over a given period of time. The RSI value ranges from 0 to 100, with values above 70 indicating an overbought market and values below 30 indicating an oversold market.
One limitation of the RSI is that it only considers the average gains and losses over a fixed period of time, which may not capture the complex patterns and dynamics of financial markets. This is where the FDCT can be useful.
By applying the FDCT to the price data used to calculate the RSI, traders can identify the dominant frequency components of the price data and use this information to adjust the RSI calculation. For example, traders can weight the gains and losses based on the frequency components identified by the FDCT, giving more weight to the dominant frequencies and less weight to the lower frequencies.
This approach can improve the accuracy of the RSI calculation and provide traders with more reliable signals for identifying trends and potential trend reversals. Traders can also use the frequency components identified by the FDCT to develop more advanced trading strategies, such as identifying cycles in the market and using this information to develop trend-following strategies.
In summary, while the FDCT is not directly related to the RSI, it can be used to analyze the frequency components of the price data used to calculate the RSI and improve its accuracy. Traders can use the FDCT to identify dominant frequency components and adjust the RSI calculation accordingly, providing more reliable signals for identifying trends and potential trend reversals.
This indicator has period lengths that are powers of powers of 2. There is also a features to increase the resolution of the FDCT.
Requirements
Inputs
Confirmation 1 and Solo Confirmation: GKD-V Volatility / Volume indicator
Confirmation 2: GKD-C Confirmation indicator
Outputs
Confirmation 2 and Solo Confirmation Complex: GKD-E Exit indicator
Confirmation 1: GKD-C Confirmation indicator
Continuation: GKD-E Exit indicator
Solo Confirmation Simple: GKD-BT Backtest strategy
Additional features will be added in future releases.
Historical Volatility Scale [ChartPrime]This indicator outputs a visual scale representing the level of volatility in the market relative to the timeframe selected on the users chart. The method of volatility used is "historical volatility" which is calculated by taking the standard deviation of a series of "x" length which contains the current closing price divided by the previous closing price for all nodes. The output of the volatility is standardized by also running an additional percentrank calculation over the raw volatility values to allow the volatility scale to oscillate properly between its minimum of 0 and maximum of 100.
📗 SETTINGS
Length: The length determines how many bars/nodes should be considered when calculating the standard deviation. In simple terms, the higher the length, the less sensitive and less reactive the scale will be to current price action, and larger moves would be required to trigger the scale.
🧰 UTILITY
The arrow or "The Pin" will move upwards towards the "fire" emoji when the volatility is higher than the majority of values for the amount of bars back that you set the "length" setting to. Vise Versa for when the pin is lowering towards the "snooze" emoji, the volatility is less than the majority of nodes/values for the past "length" amount of values.
When the volatility is low, a trader could consider utilizing more leading indicators to make their trading decisions as opposed to lagging indicator such as trend indicators. When the volatility is low, the price action is consolidation which would be bad for a trend following strategy. Vise Versa for trend strategies, having a higher volatility may be better for such strategies.
Its important to remember that this indicator itself is a lagging indicator, in that it relies on historical data to showcase the current state of the markets volatility. This means that although the recommendation in the previous paragraph may make logical sense, it is not a guarantee that if the volatility is showcasing a trending market, that your trend strategies will necessarily be profitable.
Crypto McClellan Oscillator (SLN Fix)This is an adaption of the Mcclellan Oscillator for crypto. Instead of tracking the S&P500 it tracks a selection of cryptos to make sure the indicator follows this sector instead.
Full credit goes to the creator of this indicator: Fadior. It has since been fixed by SLN.
The following description explains the standard McClellan Oscillator. Full credit to Investopedia , my fav source of financial explanations.
The same principles applies to its use in the crypto sector, but please be cautious of the last point, the limitations. Since crypto is more volatile, that could amplify choppy behavior.
This is not financial advice, please be extremely cautious. This indicator is only suitable as a confirmation signal and needs support of other signals to be profitable.
This indicator usually produces the best signals on slightly above daily time frame. I personally like 2 or 3 day, but you have to find the settings suitable for your trading style.
What Is the McClellan Oscillator?
The McClellan Oscillator is a market breadth indicator that is based on the difference between the number of advancing and declining issues on a stock exchange, such as the New York Stock Exchange (NYSE) or NASDAQ.
The indicator is used to show strong shifts in sentiment in the indexes, called breadth thrusts. It also helps in analyzing the strength of an index trend via divergence or confirmation.
The McClellan Oscillator formula can be applied to any stock exchange or group of stocks.
A reading above zero helps confirm a rise in the index, while readings below zero confirm a decline in the index.
When the index is rising but the oscillator is falling, that warns that the index could start declining too. When the index is falling and the oscillator is rising, that indicates the index could start rising soon. This is called divergence.
A significant change, such as moving 100 points or more, from a negative reading to a positive reading is called a breadth thrust. It may indicate a strong reversal from downtrend to uptrend is underway on the stock exchange.
How to Calculate the McClellan Oscillator
To get the calculation started, track Advances - Declines on a stock exchange for 19 and 39 days. Calculate a simple average for these, not exponential moving average (EMA).
Use these simple values as the Prior Day EMA values in the 19- and 39-day EMA formulas.
Calculate the 19- and 39-day EMAs.
Calculate the McClellan Oscillator value.
Now that the value has been calculated, on the next calculation use this value for the Prior Day EMA. Start calculating EMAs for the formula instead of simple averages.
If using the adjusted formula, the steps are the same, except use ANA instead of using Advances - Declines.
What Does the McClellan Oscillator Tell You?
The McClellan Oscillator is an indicator based on market breadth which technical analysts can use in conjunction with other technical tools to determine the overall state of the stock market and assess the strength of its current trend.
Since the indicator is based on all the stocks in an exchange, it is compared to the price movements of indexes that reflect that exchange, or compared to major indexes such as the S&P 500.
Positive and negative values indicate whether more stocks, on average, are advancing or declining. The indicator is positive when the 19-day EMA is above the 39-day EMA, and negative when the 19-day EMA is below the 39-day EMA.
A positive and rising indicator suggests that stocks on the exchange are being accumulated. A negative and falling indicator signals that stocks are being sold. Typically such action confirms the current trend in the index.
Crossovers from positive to negative, or vice versa, may signal the trend has changed in the index or exchange being tracked. When the indicator makes a large move, typically of 100 points or more, from negative to positive territory, that is called a breadth thrust.
It means a large number of stocks moved up after a bearish move. Since the stock market tends to rise over time, this a positive signal and may indicate that a bottom in the index is in and prices are heading higher overall.
When index prices and the indicator are moving in different directions, then the current index trend may lack strength. Bullish divergence occurs when the oscillator is rising while the index is falling. This indicates the index could head higher soon since more stocks are starting to advance.
Bearish divergence is when the index is rising and the indicator is falling. This means fewer stocks are keeping the advance going and prices may start to head lower.
Limitations of Using the McClellan Oscillator
The indicator tends to produce lots of signals. Breadth thrusts, divergence, and crossovers all occur with some frequency, but not all these signals will result in the price/index moving in the expected direction.
The indicator is prone to producing false signals and therefore should be used in conjunction with price action analysis and other technical indicators.
The indicator can also be quite choppy, moving between positive and negative territory rapidly. Such action indicates a choppy market, but this isn't evident until the indicator has made this whipsaw move a few times.
Good luck and a big thanks to Fadior!
LuBotINTRODUCTION
This indicator was born from a personal need to have everything needed in one place and to allow any trader to see the market as I see it, so that everyone, even the novice trader, immediately feels at ease as I do me when I look at the graphs.
Over time I have also developed other indicators which I associate with the LuBot, however it is designed to be used as a standalone indicator which can suit any trading style.
Of course, no indicator or strategy can predict the future. Only a good mindset and good money management can lead you to be a consistently profitable trader in the long run. Which is why together with the indicator I will provide further examples of use with personal insights and thoughts about my way of seeing the market.
Below you will find everything you need to understand what you will get with this indicator and how to use it, but there are so many configurations that you can do that could make you find a better setup than mine as each of us has different needs and different timing.
Some of us don't mind keeping positions open overnight and others want to close everything by the end of the day. There are those who look at charts with very low timeframes and those like me who prefer to look at higher timeframes like the Daily for reasons of practicality and more "relaxed" timing.
Because of this I don't want to limit the use of the indicator to what is my way of using it. Each of us has different needs, and this indicator is used to show you the way forward and satisfy your needs.
WHAT IS LuBot?
LuBot is a multi-piece indicator that provides any trader with everything they need to trade in one place.
The idea is to make it easier to see the market and give everyone the opportunity to start trading with a simple method that is within everyone's reach.
The LuBot indicator works on any TradingView chart and timeframe and includes several basic components including:
- Long and Short signals: distinguishable in SwingSignals and MultiSignals.
SwingSignals have an alternating Long-Short sequence. The logic of these signals is to indicate the trend to follow which, if supported by the other components, allows inputs in favor of swings. MultiSignals signals add intermediate signals to favor entry even on a single signal and could be used both to add further confirmation to the trend-following trade and for scalping, thus exiting the trade as soon as possible.
- Reversal Bands : placed at the ends of the chart, they indicate an area of probable price reversal (overbought and oversold areas). They are divided into colored bands each of which increases its repelling force as the intensity of the color increases. If the price crosses an extreme we expect an even stronger reversal.
- Customizable Moving Averages : 3 in total which can be modified in length, source and type of moving average (ema, sma, wma, etc.). By default I have entered the settings that I use personally.
- Trend Cloud : colored band according to the trend. By default the colors are green for bullish trend, red for bearish trend and gray for sideways/neutral phase. Coupled with moving averages they are a perfect tool to better follow the trend.
- Swings : shows swings on the chart so you can better understand their structure and refine trend tracking. Excellent as reference points for new trades.
- Reversal Signals : small signals shown as arrows above and below the chart. Those above appear when the price is overbought, conversely those below appear when the price is oversold. They are not entry inputs but they help for both entry and exit of the trade.
- Trend Candles : the candles are colored according to the trend defined in the code. Additional support to avoid entering against the trend or to exit the market when the trend reverses.
- Supports and Resistances : supply and demand levels will appear automatically and will update over time. They take the pivot points as references and it is possible to modify their period. A higher value will show wider levels, a lower value will show levels based on the latest price movements.
- Trend Channel : Show an automatic trend channel based on the period entered in the settings. A value of 100 will show a channel based on the price average of the last 100 candles.
- Alerts : finally we find the alerts both for Long and Short signals and for the appearance of a new swing. Before activating alerts, make sure you have chosen the signal settings you prefer so that you only receive that type of alert. The alert will adapt to the parameters you have chosen and will notify you whenever a new signal or swing appears. The "Any function alert" will alert you whenever a Long or Short SwingSignals appear.
SIGNAL SETTINGS
These are the signal setting modes.
First we open the indicator settings by clicking on the gear in the upper left next to the indicator name, or by double clicking on one of the indicator components in the chart.
At this point a menu will open in which the various components appear in an orderly manner.
The first group concerns the signal settings.
The first item indicates the Signal Type in which we can choose whether to display the SwingSignals or MultiSignals signals.
The second item indicates the Signal Style in which we can choose a value from 0 to 3.
Value 0 will show all signals not filtered by the trend. The value 1 will add a first trend filter and increase the restriction on the trend by increasing the value.
Next we find 3 selectable boxes called Limit Signals.
Each of these boxes will add further filters to the signals in order to limit the signals in periods of laterality and to avoid an excess of signals shown on the chart.
By acting on these settings we could find the right setup that best suits our needs.
Finally, the last modifiable parameter concerns the display of the last signals which by default is set to 3000. This means that all the signals in the last 3000 candles will be displayed on the chart.
HOW I USE IT
As I wrote above my favorite timeframe is the Daily. This timeframe allows me to study the market very calmly and gives me all the time necessary to decide how to behave on the market. Furthermore, the Daily timeframe fits perfectly with my vision of trading, which is the one that allows you to have time for yourself instead of working all day and not being able to devote yourself to family or other businesses.
In this way I observe the market only in the morning or in the evening and thanks to this indicator I can make decisions very quickly unlike when I had to analyze chart by chart with other manual tools. Moreover, thanks to this configuration I can easily do everything from my smartphone. You don't know what satisfaction it feels like to sit comfortably on your sofa in the evening and observe the markets from your mobile phone and open and close trades thanks to this indicator.
Now let's move on to the practical part and see the main actions I take when I look at a graph from scratch. The examples will cover the Long position but the reverse applies for the Short position.
HOW TO ENTER THE MARKET
1- First I set the signals with the Limit Signals type 3 option and use the SwingSignals signals. In this way I avoid too much confusion in the graph and consider the last signal
that points me in the main direction to follow.
2- In the image above we see a Long signal as the last. So from then on I will only look for Long entries.
3- I wait for the TrendCloud to turn green and thus favor the direction bullish.
4- I wait for the price to rise above the ema21 (orange moving average set by default) and the TrendCloud.
5- If the TrendCloud is above the ema100 (blue moving average) and the ema200 (yellow moving average) this increases the idea of bullish strength.
6- I expect a retracement and then a return of prices towards the zone ema21 or TrendCloud.
7- At this point, as we can see from the image below, I start looking at the Swing.
Swings determine the structure and trend of the market.
Increasing highs and lows = Uptrend
Lower highs and lower lows = Bearish trend
If in this case the swing low is positive then HL (HigherLow) we are more likely to enter in favor of a positive trend and be able to bring home a profit.
8- The break of the high of the swing candle (the one where we find the label HL) is already an entry trigger in itself, but to improve the probability of success and avoid
entering false movements we add MultiSignals signals to have input patterns specific.
In this case we have a Long entry pattern so the entry on the break of the maximum is confirmed.
9- A further confirmation is given by the TrendCandles that we can activate from the settings. If the last candles are green and the candle of ours probable trade is also
green, we have a further confirmation of possible rise.
TRADE MANAGEMENT AND EXIT
1- The moment we decide to open the position we need to know in advance where you mainly enter the stop loss and then the take profit.
2- To enter the stop loss we can use the last swing low as reference, or the TrendCloud. Based on the risk you want to get on that trade.
If the conditions are particularly positive you can place the stop loss a few pips below the swing low. The take profit instead it depends on how long you want to hold the
trade. Personally I prefer to exit trades as soon as possible to avoid staying too long exposed to reversal risks. This is about a trading approach short term.
So it could be placed on the level of the previous high as in the following example.
In this case the trade lasts only 4 candles and the overnight costs and the risk of closing the trade with a loss are limited.
3- To view the exit levels for TP and SL you can also use the automatic Support and Resistance tool.
In this example we see that the closest support level coincided with the low of the swing so inserting the stop loss below the low of the swing would have had greater validity. The Take Profit, on the other hand, could be placed on the closest Resistance level.
4- A more conservative approach would lead us to place the stop loss below the TrendCloud or below the previous swing low (more recommended approach). In this way we
will avoid the risk of being stopped and subsequently seeing the market continue in our direction as often happens.
In this example we see a Long trade on a subsequent MultiSignals signal which is stopped when the price makes a retracement on the TrendCloud. In this case we see that if we had placed the stop below the previous swing low or below the TrendCloud we would still have remained in the market and would be positive.
5- In the example above, it must also be considered that the market had already made several positive swings without making a more important retracement on the
TrendCloud, so after making 1 or 2 trades I would avoid forcing too much by chasing all the signals because it is the most correct approach.
After 3-4 consecutive swings without retracements, I recommend waiting.
When the market has made a major retracement then the swing count can start over and we could enter on the next swing high mark or break.
CONCLUSIONS
As you will have understood, the main approach is Trend is Your Friend, the trend is our main friend in trading and insisting on counter-trend operations is not profitable and sustainable in the long run. Even with LuBot you can do countertrend trades but they are not the ones I recommend so I won't talk about them here.
Last but not least it must be said that the indicator does not repaint, this means that the signals will not disappear over time and the alerts are reliable.
Each of these components has been inserted on the basis of a personal need and on the basis of studies done directly by me in the field. This is the first official release after 3 years of developments.
This indicator is not a strategy, does not show backtest results and does not show Take Profit or Stop Loss levels. The purpose of this indicator is to give everyone an idea of price behavior and to implement a discretionary strategy. Signals are not always a reason to enter and TP and SL levels vary depending on the type of trade, which is why an automated backtest could show different results than you might have.
This indicator is intended to help the trader (beginner or not) to find the trades to make more easily and to allow anyone to follow a strategy. Since this is an indicator for discretionary trading, I don't invite you to follow all the signals, but to reason with all the tools available within it. When there are more elements that match, the chances of success are higher. You have to be patient and avoid getting caught up in haste and emotions. Considering that the market is unpredictable and there can be no certainties about its future movement, I take no responsibility for your use of this indicator.
Round Numbers Breakouts Smart Formula Signals and AlertsThis indicator uses Round Numbers breakouts and then uses smart formula with the near Round Numbers to determine best TP (take profit)/SL (stop loss) areas. Furthermore, it calculates win percentage, shows in-profit/in-loss peaks and the price amount result over a customizable date range, which when combined well with the smart formula provides decent profitable outcome. I have decided to write my own backtesting engine as the integrated TradingView strategy one has limitations and has shown inconsistencies when compared to manual backtesting…
There are many settings you can manually change to trade any instrument, any style, any approach and there are presets included for Bitcoin(BTCUSD), FOREX(EURUSD), SPY(S&P500), so you can start trading immediately! Alerts correspond to indicator settings and are turned on with a few clicks. There are 3 tables (each can be shown/hidden) showing everything you need to see/know to calibrate the indicator as you wish.
Labels, lines, tables explanations (everything can be hidden/shown):
- LONG Labels: medium-green: position open, dark-green: SL, bright-green: TP, blue: TP2
- SHORT Labels: medium-red: position open, dark-red: SL, bright-red: TP, purple: TP2
- Gray circles: position entry area | Yellow crosses: SL area
- Green line: Long TP1, Blue line: Long TP2 | Red Line: Short TP1, Purple line: Short TP2
- Grey lines: Round Numbers (customized via “Round Number up/down measure unit” input)
- Yellow labels at end of each week: end of week OVERALL total results
- Red colored background: power segment
- 3 tables: 1) INFO | STATS, 2) SPY Options Calculator, 3) Indicator Settings
If you decide to fully customize the indicator yourself, on the very top - under “PRESETS” select “MANUAL”! NOTE: If you select any of the pre-set presets, only GLOBAL settings can be changed, the rest of the settings will be “frozen” until you switch it to “MANUAL”!
- Global Settings are self-explanatory and mainly observational, show/hide, etc.
- Manual TP2 (Multi-Take-Profit) Settings:
>>>>> Include TP2 System? Turn on/off multi-profit system, with this unchecked, every trade will either end with SL or with TP1.
>>>>> TP2 System: NEAREST/FORMULA, NEAREST – after TP1 is taken > next TP2 will be a round number price target nearest to where TP1 was taken (sometimes it can be very near, sometimes further away…), FORMULA – 2nd round number price target will be optimally selected based on the distance behind and ahead of TP1 area. For TP2 – FORMULA would be the most logical choice as with multi-take-profit setting turned on – you’d want to ride it out as far as possible.
>>>>> TP1/TP2 division type: 1) Each price target (TP1, TP2) will be ½ of the position 2) TP1 will be 2/3 of the position and TP2 will be the remaining 1/3.
>>>>> TP2 hit type: “close” > candle has to close on top/crossing the price target line, “touch” > once candle touches the price target – you will be immediately alerted to take the partial profit (if you will use such setting – you will need to take the partial profits as soon as you receive the alert.
>>>>> TP1 > Back to Entry hit type: similar to TP2, “close” > candle close, “touch” > candle touch. Please note: this is a very tricky setting as if you use “close” option – your profitable trade may become a loss if a huge candle will close against your position eliminating your TP1 profit, however often the price will touch and cross the entry area to only bounce and continue with your position direction for even bigger profits… so experiment with the date range results to see what works best for your instrument/setting/strategy.
>>>>> TP2 count towards trades count: this can be a bit confusing, but it is simply how should TP2 be treated towards trades count. The indicator will show you Win Percentage and Win % is obtained from winning trades count divided by total trades count. While TP2 is not “a new trade”, it expands the profit of the trade. This is an experimental setting to count TP2 as the whole winning trade, ½ of a trade, or not count it at all.
- Manual Signals/TP1 Settings:
>>>>> TP1/TP2 offset: this one is really cool, with this feature you can hunt these conditions when the price comes very near the profit target area, but never touches it. With this setting turned on and with a good offset amount – you will be able to catch these for TP1 and TP2!
>>>>> TP1/TP2 offset amount: just what the title says, please be careful with this as this number varies significantly depending on the instrument you will be trading. Examples: 1) For SPY 0.1 would be $0.10 offset - if TP1 is $400 and price hits $399.90 > TP1 considered taken/signal shown/alert) | 2) For EURUSD, it is very different and if wrong will show TP1 immediately at position open, typical good offset for EURUSD is: 0.0005 | 3) For BTCUSD, 10 - $10 offset, if TP is $15,000 > $14,990, etc.
>>>>> Round Number up/down measure unit (in dollars $): this one is very important if you will be using “MANUAL” selection to build your own setup as it is very different for every instrument. For SPY, round numbers are single dollars or even half-dollar 50 cent numbers: 1 or 0.5 (350, 351, 352, etc. or 350.50, 351, 351.50, 352, etc.), while for Bitcoin (BTCUSD) a single unit ($1) is too small to be a round number as Bitoin moves much faster and wider every second and it would have to be at least 50 ($50) to make sense. Similar for FOREX (EUR/USD) a single 1 unit ($1) will be too big as EURUSD will never move a whole $1 in 15 minutes or even a day.. and would have to be something like 1.05500. You can easily determine if this number makes sense for your instrument by observing the grey Round Number lines which will correspond based on this setting. You can also visually observer if the price of the instrument appreciates these round numbers.
>>>>> Close Position Before Market Closes: just what the title says. Indicator will close the position 15 minutes before market closes (US session), update backtesting stats, alert you.
>>>>> Close Position Before Power Hour: 3PM – 4PM ET is the last hour of US trading session, where sudden move in any direction can happen with huge volatility, while sometimes nothing will happen at all… Many try to avoid it, so if you wish to avoid it as well - turn this on and it will alert you to close your positions 15 minutes before Power Hour starts, backtesting/stats will be adjusted accordingly.
>>>>> Skip OVERSIZED candles in signals: turn on this setting to skip signals, which happen to fall on big candles. This is basically a protection from huge volatility moves, which usually happen during financial news/events and if you are not a fan of these – you can set this option for indicator to not open anything based on the candle size.
>>>>> Color OVERSIZED candles: this will help you calibrate the size of the OVERSIZED candles if you decide to use this setting and overall visually see them.
>>>>> OVERSIZED candle size: OVERSIZED candle size must be input as it varies significantly. Please note: for each instrument – the size number is completely different, as for SPY: 2 would mean any candle bigger than $2 distance will be considered OVERSIZED, for Bitcoin it would have to be several hundred dollars, like 400-500. For FOREX, this would have to be a decimal, for EURUSD something like 0.0005. It’s best to experiment visually with this setting depending on the instrument you will be trading while setting up the size. To see a typical huge unusual candle – look up financial calendar for something like FOMC meeting, then measure the candle input it into this setting.
>>>>> OVERSIZED candle size calculation type: this is just more flexibility for your preference. If you wish to calculate the size of the candle based on the open/close – select “BODY”, if you wish to use high/low – select “STICKS (from tip to tip)”. Hard to say which one is better, so it is up to you to decide.
>>>>> Include EMA in signal formula: LONG signals will only be shown only if above EMA, SHORT if below EMA. EMA length is of course customizable in below.
>>>>> Skip opposite candle types in signals: signals where the candle color confirms the direction of the trade, but the candle type is opposite (like a green colored bearish hammer for example) will be avoided (such candles can be very uncertain/deceptive).
>>>>> Skip doji: signals where the signal candle is doji (uncertain) will be avoided.
>>>>> TP1 hit type/system: same thing as TP2 hit type/system.
>>>>> SL hit type/system: same as TP1 and TP2 types/systems.
>>>>> Intraday Session Signals Active Time in ET: time range during the day when indicator will show signals (open trades, alert you, etc.). This is specifically for intraday trading. You can turn it off completely by selecting a BLANK option.
>>>>> Intraday TP/SL Active Time in ET: same as above, but for taking profits/stop losses.
*** To add the alerts
-Right-click anywhere on the TradingView chart
-Click on Add alert
-Condition: Select this indicator by it’s name
-Alert name: Whatever you want
-Hit “Create”
-Note: If you change ANY Settings within the indicator – you must DELETE the current alert and create a new one per steps above, otherwise it will continue triggering alerts per old Settings!
If you wish to try this out for a week or so – please write me directly and I will give you access.
Range Band (Expo)█ Overview
Range Band (Expo) measures an asset's volatility and price movements to plot the most relevant price range. Identifying ranges in trading is extremely important for traders to assess the current market and make informed decisions about when to enter and exit positions.
By identifying ranges, traders can identify support and resistance levels , and use these levels to determine when to enter and exit a trade. Ranges also help traders to identify potential entry and exit points and set stop-loss and take-profit levels. Additionally, ranges can help traders to identify potential trends and reversals .
█ How to use
Identify potential trading opportunities
For example, if the price is bouncing between the upper and lower range bands, it may indicate that traders could potentially profit from short-term contrarian trades. Similarly, if the price is trading near the upper or lower range band, it may indicate that traders could potentially profit from long-term trend trades.
Price Ranges and SR Levels
Range bands help traders identify price ranges that are likely to be profitable. It is a graphical representation of price movement and is typically used to identify support and resistance levels. Range bands are also used to identify potential entry and exit points.
Trends
Range bands are used in to identify trends.
Reversals
Range bands are used in technical analysis to identify potential reversal points.
Overbought and Oversold
When the price reaches the upper range band, it may indicate that the asset is overbought and that the price is likely to fall. When the price reaches the lower range band, it may indicate that the asset is oversold and that the price is likely to rise.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Professional Zones - Institutional Demand and Supply Imbalances
Intro to Supply and Demand Zone Technical Analysis
Supply and demand is an increasingly common strategy among day and swing traders in equity, forex, and the futures markets. The goal of analyzing supply and demand zones is to pre-determine where price action may pivot before that pivot happens, thus giving us an edge over the market. There are many unique charting/trading strategies that fit under the supply and demand umbrella, however we are going to focus primarily on Institutional Zones of Demand and Supply Imbalances, as this is what our TradingView indicator actively displays.
What are Institutional Zones of Demand and Supply Imbalances?
First, let’s break down the phrase above. The first word is ‘institutional’, which is a key aspect in our trading. As a retail trader, you must understand that retail traders (individual traders like you and I) have very little control and very little effect on price action in the major markets. The price action that we see everyday is caused by large institutions and hedge funds buying and selling equities in massive quantities.
This chart displays the price action for ES, which is the S&P500 E-mini futures .
At the time this guide was created, that chart for ES displays the low of this year (2022). You can see major highs and major lows, as well as steep drops and momentous runs.
Price action like this appears random to the naked eye, however it is all controlled by major institutions. These institutions place large buy and sell orders for markets such as the S&P 500 Index which causes these moves.
Our Institutional Demand and Supply Analysis attempts to discover the price zones where institutions have placed their buy/sell orders. Their buy orders create “demand zones”. And their sell orders create “supply zones”. Knowing where these zones exist allows us to anticipate price trend reversals so we can profitably participate in them alongside the major institutions when these key moves take place.
We are looking for areas in the chart where institutions have created major imbalances (more buy orders than sell orders or vice versa) which creates demand and supply zones that impact price action and trend reversals in predictable ways.
What Causes These Supply and Demand Zones?
Understanding that institutions control the price of the markets is crucial for understanding how these zones of supply and demand imbalances are formed, and it can be derived from historical price action.
There are two types of price action, balanced and imbalanced. Balanced price action is flat, consolidatory price action where the overall direction is sideways. Imbalanced price action is an exaggerated move in price either up or down. Now here is the key: institutional supply and demand imbalances are formed when price action goes from balanced to imbalanced. Below is an example of balanced price action .
There are clearly areas of institutional buy and sell orders that are causing price action to oscillate between the areas of demand and supply. The longer price action consolidates and moves sideways, the larger the volume profile will be in this range. In other words, more institutional orders will build up as price remains relatively the same for a longer period of time.
Here is how a demand zone is formed :
Due to bullish CPI news, price action went from balanced to imbalanced by exploding to the upside. This bullish price action filled all of the sell orders and broke past the previous area of supply. Because price moved up so fast, the buy orders did not get a chance to fill, essentially leaving an area with a high concentration of buy orders remaining. Hence, a new demand zone is formed which is shown here .
Our state-of-the-art indicator automatically scans for these historical shifts in price action (balanced to imbalanced) via our supply and demand zone detection formula, and displays them on your chart instantly. Remember the first image sent of blank price action? Here it is below:
The image below shows the exact same chart of ES, however, our advanced Professional Zones - Institutional Demand and Supply Imbalances indicator has been applied to the chart.
Just like that, price action has been transformed from unexplainable chaos to an orderly sequence of demand bounces and supply rejections.
Yes, all of these zones may be charted manually if one were to acquire the knowledge required to chart them by hand, and spend numerous hours going back in time to find all these zones. Additionally, these charts would then have to be constantly monitored and updated, which would require hours of work each day. This powerful indicator automates all of that work to give you more precious time to analyze and trade these zone-driven pivots in the markets.
How To Measure the Strength of Supply and Demand Zones?
The longer the consolidation takes place, the larger the demand/ supply zone will be. This strength is measured by the time frame of the origin of the zone.
Each zone may be formed on a different time frame, the biggest being the 1 Month time frame, and the smallest being the 30 Minute. Each supply and demand zone is automatically labeled based on the time frame from which the zone originated.
The weakest zones are derived from the 30 minute time frame. This means the zone only took two 30 minute candles to form, which is not a lot of time for institutions to place large orders. This means that the bounces and rejections off of these zones will usually be smaller, and usually won’t last more than a few days.
Larger zones such as 1 Day, 1 Week, and 1 Month often cause large swings in the market lasting weeks, months and even years. So pay attention not just to where the demand and supply zones currently appear, but also to the strength of that zone. You can see below that the demand zone that the market bottomed in and reversed out of in 2022 was in fact, a very strong weekly zone.
What is the Significance of Supply and Demand Zone Breaks?
These zones are order-based. This means that a supply zone level doesn’t turn into demand when price action breaks above it, and demand doesn’t turn into supply when price action breaks below it. It is unlike standard trend-based support and resistance levels. If price action breaks below demand by even $0. 01 , all of the buy orders have been filled and the demand must be deleted from the chart (and vice versa for a supply zone ).
While it is possible to play these zone breaks as continuation plays off of current momentous price action, it is unpredictable how far price will go up or down after breaking supply or demand during that leg.
However, in my years of supply and demand experience, I have noticed that if demand breaks, the market will eventually come down to the next viable demand zone . This is because without a pivot caused by an institutional-created demand or supply imbalance, there is often not enough participation to cause a sustainable trend reversal for a long period of time. Below is an example of this:
Above is the 4 Hour chart of TSLA bouncing up off of a demand zone . We call this a bounce in “no man's land”, as there is no major demand bounce to support this reversal to the upside. So in theory, price action should return lower to the next major historical zone of demand before it has a chance of pulling off a solid reversal. Here is what happened:
As you can see above, TSLA did indeed end up heading back down into the next major demand zone before getting a sustainable reversal to the upside. So you may play these supply and demand zone breaks as continuation trades, either long or short, with a price target at the next major zone. Just make sure to use proper risk management and position sizing, as timing the trigger of a price target can be difficult.
How Might I Place a Trade Using the Indicator?
Now that the basics of institutional supply and demand zones have been discussed, there will come a time that this strategy must be actively applied to personal trading with a goal of becoming profitable. Here is a step-by-step process to place a trade using supply and demand paired with an example of a day trade from the 1 minute time frame.
Step 1: Find a highly institutionally traded stock that is currently in supply or demand as shown by our indicator. For example, AAPL:
Step 2: Look for an above-average (exaggerated) volume spike. Because we are in one of the green zones at the bottom of the chart, we know that we are in demand where large institutional buy orders reside. We need to wait for some of these orders to actually fill before we take our trade. This is known as volume confirmation. The color of the volume usually does not matter in this situation.
Step 3: Now that we have a volume spike which is confirmation of large orders being filled, we need more confirmation that the institutional orders are not only a buy, but large enough to actually reverse the current trend.
This is ultimately a judgment call. A few green candles may be good enough to dictate a reversal, or a trend break. It comes down to personal preference and how aggressive you would like to be. Keep in mind, the longer you wait, the more confirmation your trade has, but also, the longer you wait, the greater the risk of missing the new trend. In this example, we will use a trend line to confirm our trend reversal.
Step 4: Enter the trade. Now that you have proper demand confirmation, you may place your trade. Be sure to determine your stop loss, price target, position size, and all other risk management factors along the way.
In this example, AAPL ran all the way up to supply before rejecting; making for a perfect demand to supply call trade. Also, more short trade entries could have been taken based off of the multiple supply rejections AAPL had.
The Bottom Line
There are many ways one may go about trading the stock market. However in my years of trading and teaching, there has never been a strategy that has not only changed my career, but improved the trading careers of my students, more dramatically than Institutional Zones of Demand and Supply Imbalances.
Though charting new zones and deleting broken ones everyday was time consuming and repetitive, the results of trading these zones made it well-worth the hours of charting. However, after months of development and fine-tuning, the painful charting process has been automated by this powerful indicator, completely replacing the tedious charting work for myself and my students.
While numerous other indicators include the name “Supply and Demand Zones”, we believe that no supply and demand indicator remotely this advanced and accurate available on TradingView. I am very blessed to finally bring this revolutionary tool to the market.
Introduction to the Aurora Demand and Supply Indicator for TradingView and its Functionality
This page is dedicated to providing a thorough walk-through of our Professional Zones - Institutional Demand and Supply Imbalances indicator. The settings functionality, customizability, and purpose will be discussed to give you an in-depth understanding of the indicator. Understanding the purpose of the different functions and settings is crucial to utilizing this powerful tool at its full potential.
First Look Upon Indicator Addition
After purchasing the indicator, your chart may initially appear cluttered, zoomed out, and hard to read. But do not worry, it just means the indicator settings must be fine-tuned to optimize your experience. Tt may appear overwhelming. However this page will discuss each major customizable setting and the functionality behind it to streamline your TradingView set up.
Filter Options Settings Category
This is the first customizable feature that appears when accessing the settings of the indicator. What Filter Zone Ranges does is allow you to filter the range at which zones appear both above and below the current asset price. With this setting unchecked, every single demand and supply zone within the 5k candle limit (or 20k limit if you have a premium TradingView account) will appear on your chart. This causes chart clutter which limits the visibility of price action.
If you have this setting activated, you can choose exactly the range of zones visible to you. This range is percent based and is measured both above and below the current market price. For example, if you activate Filter Zone Ranges and set the Filter Percentage at 7%, only zones within the range of 7% above, and 7% below the current asset price will be shown.
Demand/ Supply Zone Options Settings Category
The next two categories contain the majority of the customizability for supply and demand zones. The first option in both the Demand/ Supply Zone Options is Create Demand/Supply Zones. This toggle is very straight forward, you may choose whether or not to display all demand zones, or all supply zones.
The next two options are Demand/ Supply Zone Border and Demand/ Supply Zone Fill. Again, these are straight forward. The border setting allows you to edit both the color and opacity of the zones’ border lines. The fill setting allows you to edit the color and opacity of the interior of the supply/demand boxes.
Following the first pair of visual settings, you will see Demand/ Supply Zone Box Offset. This allows you to toggle how much the indicator offsets each zone from its origin point. In other words, move it to the left or right from the point in time at which the zone was created. The 0 offset is the base setting which is actually a slight offset to the right of the origin point to ensure that the candlesticks remain unobstructed visually.
After the offset options, you will find Demand/ Supply Zone ERC Multiple. This is a key setting which inputs the value our formula utilizes to scan the areas of institutional supply and demand imbalances. Unless you are extremely experienced with supply and demand analysis or you are running backtesting, it is highly recommended this value is left at ‘2’ for both the demand and supply options.
The next two options you will see in your indicator settings are Extend Demand/ Supply Zone and Demand/ Supply Zone Size. This feature allows you to customize exactly how far your zones will extend from the point of origin into the future.
The three options on the drop down menu are Extend, Fixed, and Dynamic. Each of these options extend your zones in a different fashion. It is important to note that the value inputted in the size option is the amount of units the zones will extend to the right for both Fixed and Dynamic options. The larger this input is, the further out the zones will extend into the future, and vice versa.
The final setting in the Demand/ Supply Zone Options category is Broken Zones to Keep and Broken Demand/ Supply Zone Fill. The Broken Zones to Keep input allows you to see recent supply or demand zones that have been broken and deleted from your chart. This may be useful for a trader in a few different ways. The Broken Demand/ Supply Zone Fill setting allows you to customize the number of broken zones displayed as well as their color and opacity. The most prominent example of this option’s utility is for traders that do not observe price action during the entirety of the market open.
If an individual left their charts for a few hours and missed a demand break, it may give the illusion that there was never a demand there and price action has been in “no-man's land” all day. However if that individual inputted ‘1’ in the Broken Zones to Keep setting, they would be able to see that a demand has broken. This may be useful as the trader may have an altered sentiment after knowing that a zone did in fact break.
Note: the value inputted is the amount of previously broken zones that will appear on your chart. For example, if the value ‘3’ is inputted, the three most recently broken zones will appear on your chart.
Time Frame Options Settings Category
Time Frame Options Settings allows you to toggle which supply and demand zones appear on your chart by time frame. For example, if you are analyzing a chart on a larger time frame such as the daily or weekly, the small 30 minute and 45 minute zones will often clutter your chart. By deselecting the weaker and smaller time frame zones, it will clean your chart up, allowing you to only see the zones that assist your analysis.
However the first two options in the category are unique.The first is Show Forming Zones. This option is extremely useful if you are watching price action play out live, when seeing the possibility of a supply or demand zone forming may be of benefit during your day trading. By toggling this setting ON, you will see all possible supply and demand zones forming in real time. However, this could cause clutter if multiple zones are forming at once in which case, toggling it off may be more beneficial.
The second option in the Timeframe Options category is the Show Zones Inside toggle, which controls the table at the top right of your screen (you may get rid of this table by deselecting tables in display settings).
This setting simply is a “yes” or “no” as to whether or not the table located at the top right of your screen will display the number of zones price action is currently sitting in. This setting is useful as zones may sometimes pile up on top of one another, making it hard to know exactly how many zones price action is currently sitting in.
Gap Options Settings Category
Just below the Timeframe Options category, is the Gap Options category. Gaps appear when two daily candles highs and lows do not overlap. These are often created when a catalyst is released into the market overnight causing a large move, resulting in a “gap” up or down the next morning.
A Gap often forms due to a strong move to the upside, and the indicator highlights this gap with a gray box. Gaps are important to many traders as there is often a large lack of liquidity inside the gap area, which often acts as a magnet that attracts future price action to fill it. If toggled on, the indicator displays the gap among the supply and demand zones seamlessly. The rest of the settings for this category are options to customize the color, opacity, size, and offset. These have the same effect as the options in the Demand/ Supply Zone Options category.
Text Options Settings Category
The final category in the indicator input settings is Text Options. This category allows you to toggle zone labeling on or off, and to specify how you would like the zone labels to appear. It’s strongly recommended that zone labeling is left ON because knowing the time frame a supply or demand zone originated from is a massive indicator of its strength. Top right alignment causes labeling such as “3H” to appear at the top right of each zone.
Indicator Data Limitations
There are a few limitations of TradingView which impact the Professional Zones - Institutional Supply and Demand Imbalances indicator. The first is the data TradingView provides to its users. With a basic TradingView account, a user only has access to 5,000 candles of data. So if a user is on the 1 minute time frame, that user can only see 5,000 candles before that current point. This is important because our advanced indicator scans historical price action that has formed supply and demand zones and displays it on your chart. This means that if a user is on a 1 minute time frame chart, they will only be able to see zones formed within the last 5,000 candles. Older supply and demand zones can not be displayed. However if a user has the Premium TradingView subscription, they can access up to 20,000 candles, which greatly increases the potential zones the user may see on the smaller time frames.
To counter this, we strongly recommend checking the larger time frames before starting your trading day, as there could be an old zone lurking behind the scenes. Once you spot it on the 30 minute time frame, for example, you may easily take note of the demand zone and its location.
The Bottom Line
This indicator has been intricately and powerfully designed to not only display institutional supply and demand imbalances more accurately and efficiently than any other TradingView indicator, but it has also been designed to give the user full control. Full control means the user has the ability to customize the appearance and inputs, as well as toggle specific objects visible to the trader.
We have meticulously designed the Professional Zones - Institutional Supply and Demand Imbalances indicator to be extremely valuable as a stand-alone strategy, as well as versatile enough to incorporate multiple other trading strategies on top of supply and demand .
However, in order for this indicator to be utilized by you at its full potential, it is important that you understand all of its features, capabilities and configuration options before you dive into trading.
[ChasinAlts]Top-Wicked Good S/R LinesHello Tradeurs, as per usual, I hope everyone is having a FAN-FRIGGIN-TASTIC day. With the soon incoming bull market approaching fast(Nov 7, 2022), there are a few ideas that I've really been trying to push out to help nail a few coins as they are near their bottom peak of this closing Bear Market. This one may seem very similar to the last one I posted but I think this one takes the cake...esp when you see the next script from my 'Market Overview' series that I will be publishing shortly after this one as it is utilizing this new script for a market scanner that will be SUPER legit and profitable. Though it is alway nice to be noticed, I'm glad that I'm relatively unpopular so the few people that are now following me can have some time to make some money with some of these scripts I'm trying to pump out for the benefit of the community. I will rarely give my full analysis of how I take in and utilize these scripts but I can tell you, QUITE A FEW of them are money in the bank. Esp these last few I've done/am doing and even more-so the ones that are soon to come (I'm speaking of about the next 3-4 that I will be attempting to pump out in this next VERY IMPORTANT week.). One more thing I'll add before going to the script is a little alpha(Im pretty certain this is the way it is going but NOTHING is EVERY 100% in life). What I believe should be realized is the bottoming out of MANY of the crypto coins at the VERY bottom of a LONG TERM Cup and Handle (so it seems but shat can still change in the blink of an eye). Thus there are quite a few coins that I believe have already bottomed and wont be returning to said bottom for a few years or so but there are also quite a few still at the brink of the bottomest part before the real market breakout occurs. My goal with these scripts coming out this week to help you all find those coins that have yet to hit their very bottom (thus the ATH/ATL script recently published). Going back in history looking for the lowest points of long term Cup & Handles I will point out 2 key things. Near the center/bottomest part of these historical CnH you will see either Double Bottoms OR a Huge dump and then its V-shaped recovery. After these print the point of no return has occurred where only a few coins will be going lower than these Double Bottoms/V-Shaped recoveries. So the time is at hand. Now that many coins are seemingly pumping after this long consolidation, I believe we need to keep a keen eye out for THE FINAL RUG PULL (as soon as enough degenerates are leveraging Long their entire savings.). What Im saying is be ready for this final rug pull to finally be seeing these Double Bottoms/V-Shaped recoveries VERY soon. DO NOT waste all your capital yet and MAKE SURE to use stop losses or else rather than stop losses you will be burdened with MUCH WORSE losses. Im currently not even in the market bc I am waiting on said rug pull. Ok for the Script now.
This script is similar to the last one but with the previous one, one general set of settings can produce VASTLY different results (might have 2 S/R lines on one coin and 80 on another). I wanted to fix that with this script, turn it into a "Market Overview" Scanner and create alerts for the MO Scanner to be able to get alerted any time a coin is passing its largest wick S/R levels bc DULY NOTE...it is VERY rare that a coin will blow past it if it hasn't approached it recently. That means that a small retrace of 3-5%(or more) is EASY to acquire (with leverage that can really add up with how many coins are in the Kucoin Margin Coin list that I have in my scanners). Now, once price does shoot through a level you best be sure to be looking down the line for a retest of the S/R level it blew past before as they are MANY times the retest level and price will be coming back to it before continuing
in the direction it was going. Depending on the TF your using this could be a few hours to a few days to a few weeks...you get it. With this script you can choose to draw S/R lines 2 ways: 1) by having it plot S/R lines on the end of the largest 2(3,4,5..however many you choose) wicks that the chart has access to. For the scanner ill just be putting the largest 2-3 wicks and set alerts when coming up to them/crossing them & 2) having it draw S/R lines on the ends of the largest X% of wicks. it will be erasing the lines and drawing new ones on each new candle occurrence so the same general settings will no longer be producing VASTLY diff amounts of S/R lines and will be way more consistent amongst the coins for better utilization with the scanner (when I publish it). There is also a Wick Max Cutoff % so for those coins that had it's first few hours printing 100% sized wicks...you can choose to ignore them so they are not taking up one of your top spots for the S/R lines. There is similarly a Wick % min Size that can be selected so if you’re using the top % setting, it will help decrease those coins that can be still plotting 30 lines even though the top 3% of the largest wicks are set in the settings. Hope Im being clear but it's easy enough. I believe in you and your capabilities of comprehending it all and getting it all figured out. So this script is for a visualization for the scanner that I will be uploading soon-after. It's always nice to get a few comments if my ideas/scripts have been helpful to you and please don't hold back if you have something to tell me that I screwed up on (I am still rather new to this coding thing but I like to think I at least have some fresh ideas that aren’t out there in the public library). Talk to you soon and may the force be with your trades. Peace and love people...peace and love. -ChasinAlts out.
CROCEUsing free cash flow instead of ebit, to be able to evaluate stocks that are not yet profitable.
the formulas are
fcf ttm / (not financial operating working capital - Cash + Net Property Plant and Equipment)
and
fcf yield on Enterprice Value
Example CRWD negative ebit, but cash creation, in this case the expenses in research and development go to affect the ebit.
Trendmaster - Crypto On-Chain Metric BundleWhat it is:
The ‘Trendmaster Crypto On-Chain Metric Bundle’ is truly a one-of-a-kind bundle. It provides a complete insight into the on-chain dynamics of the entire Crypto asset class, with a multitude of different included indicators providing unique information and data points to give users an edge regardless of ticker, timeframe, or trading style.
What it Does:
Allows you to switch between several different metrics in one place and see specific combined metrics and look at the metrics to take contrarian positions
How to Use it:
Use these metrics to see the on-chain actions in cryptocurrency and play the contrarian. For example, when people are flooding into stablecoins as the price goes down you can see that as a potential buy indicator.
All metrics can be viewed with a Dashboard allowing the user to see all of the information in 1 place.
List of On-Chain Metrics:
To begin with, we have the ‘Trendmaster On-Chain Rating’ – which is our all-in-one, complete on-chain overview metric that can give you an instant insight into the fundamental and underlying strength of any given Crypto asset. It collates the key factors provided by all other indicators within the bundle, weighing in and condensing all of that information into a simple -5 to 5 scale; with a -5 indicating a completely bearish outlook on the asset, and a +5 representing truly great upcoming upside potential. As this indicator is taking into account large amounts of data and statistics to provide an on-chain overview, this value is best taken into consideration on higher timeframes such as the 4hour or daily to provide fundamentally strong buy or sell swing trade opportunities. Extreme rating signals on this indicator are rare but always worth taking into serious consideration.
Secondly, we have the ‘Collated Open Interest Oscillator’ – which gives us a peek into the current outlook of the derivatives market across a wide array of Crypto futures on a number of different exchanges. This indicator provides data on a 0-100 scale, with 100 indicating a substantial and sustained increase in open derivative positions in relation to the underlying market volume. A score of 100 can tell us that a huge amount of traders are trying to position themselves with high leverage in anticipation of a big move, and can often be compared to periods of extreme greed from market participants. On the contrary, a value of 0 shows us that the derivative market is decreasing in volume and therefore open interest is decreasing, which can be likened to periods of extreme fear. This data is only provided at daily intervals, but as incredibly high or low values on this indicator can have an almost instant impact, this indicator is best utilized for medium-term trading and investment decisions.
The ‘Social Sentiment Oscillator' analyses bullish and bearish narratives in relation to a number of large Cryptocurrencies and the market in general, across multiple social media platforms. Rather than a traditional 0-100 ‘Fear & Greed’ index that many may be familiar with, this indicator tracks the changing in sentiment across platforms on a -100 to 100 scale. A score of -100 may not necessarily indicate immediate extreme fear in the market, but instead a huge shift from an incredibly bullish narrative to an incredibly bearish one. Similar to a score of 100, this does not necessarily indicate that the current outlook on social media platforms is currently positive, but rather that a substantial amount of people are altering their views and have become more bullish on a short-term basis. This data is only provided at daily intervals, so make sure to keep an eye on price and sentiment divergences for the best swing trade opportunities to play contrarian to the majority.
Following this is the ‘Miner Confidence Metric’, which provides a long-term overview of the current Crypto miner's outlook. This simple -10 to 10 scale gives us an easy-to-follow bearish to the bullish sentiment of miners. This indicator takes into account the current hash rate, looking at both how it historically compares as well as its rate of decrease/increase; as well as on-chain miner movements to verify their stance on either holding onto their Crypto earnings or preferring to move their coins to exchanges to sell and cover their running costs. Generally speaking, miners can face difficulties operating during times of large market drawdowns, and may be forced into offloading and selling physical and virtual resources to remain afloat – this is indicated by a -10 value at the extreme end, and has historically provided outsized returns for long-term investors accumulating at their demise. Contrary to this, a score of 10 can indicate that miners are not only bullish on the future of crypto, but are likely also expanding operations in anticipation of higher prices in the future. This data is only provided at daily intervals, but on longer-term timeframes provide some of the best long-term accumulation opportunities available to market participants.
Next is the ‘Collated On-Chain Volume’ indicator, which simply monitors a variety of Cryptocurrencies and their underlying on-chain transactional usage. When collating these volumetric data it can provide invaluable insight into the current actions taken by market buyers and sellers and often larger players who can have a big influence on price. Typically when we see large spikes in on-chain usage it indicates substantial levels of accumulation or distribution, which can be made more obvious by observing where we currently are in a market cycle. Large spikes after large and extended periods of drawdown can represent coins transferring from retail to larger players who are often referred to as ‘smart money’; and with large on-chain volume following a substantial bull cycle, this may show us larger players distributing coins to retail. Data can only be fetched at daily intervals, but watch for big spikes to try and position yourself alongside the big players.
We also have the ‘Holder in Profit %’ which as it sounds, is just giving us a percentile value of Crypto traders, investors, and holders who are currently in profit on their positions. Historically speaking, when a majority are at a loss – and buying ‘when there is blood in the streets has been a profitable venture. Considering cutting some of your positions when market exuberance is in full effect and a vast majority of participants are reaping in easy profits. As data is only obtained at daily intervals, using this as a longer-term gauge for where we may be in a cycle is where it is most insightful.
The ‘Long/Short Ratio Crossover’ analyses the current disparity between traders who have positioned themselves in a long position on derivatives markets in comparison to those betting on prices going down. This indicator provides another impressive insight into the fallacy of the herd mentality, and how aiming to be on the opposite side of the masses can often be a profitable venture. A value of 100 can show us that an overwhelming majority of traders are predicting a price increase and are trying to position themselves accordingly, whereas a value of -100 indicates almost all derivative traders are trying to bet on a sizeable market downturn. This metric can be useful for both long-term positions and shorter-term scalping methods of trading and investing, updating on a per-candle basis.
Along with this, the ‘Retail Stablecoin Demand’ looks into the current demand for a number of Crypto stablecoins, aiming to mimic an underlying value close to that of traditional fiat currencies like the US Dollar. This is calculated by analyzing the short to mid-term rush to these ‘safer’ assets by retail traders. Traditionally people will exit their positions in favor of stable assets when they are either currently or are expecting to experience losses. Conversely, when users foresee upcoming profits they are likely to transition into a more ‘risk-on’ thesis and exit their stablecoins for more speculative assets. A value of 100 represents a huge demand for stablecoins, whereas a value of -100 shows that there is currently a lack of interest. Another indication providing a chance to profitably play the contrarian, with figures constantly updating to provide the functionality to all regardless of your trading methodology or investment philosophy.
Lastly the ‘Whale Bubbles’, display overlaying circles of varying size and opacity to represent on-chain activity by larger market players who are transferring a portion of their substantial holding, usually to exchanges to sell. These bubbles are placed over price action to clearly see the point at which the transaction occurred. We can also lower the minimum requirement of what is defined as a ‘whale movement’ by increasing the sensitivity within the indicator settings and subsequently increasing signal frequency. When whales begin to sell in numbers, it may be worth considering doing the same yourself!
We hope you can find utility in all of these indicators, and that in unison they can take your trading and investment to the next level. A majority of these indicators within the bundle can be tweaked and optimized within the bundle to further fine-tune and cater to your preferred trading and investing thesis. Check out our other resources and let us know what you’d like to see next!
