AO Smart Scalper – 5M Dynamic SL Edition📈 AO Signals with Fixed and Dynamic SL – Optimized for 5-Minute Charts 📉
This indicator is built for 5-minute timeframe trading, combining powerful momentum signals from the Awesome Oscillator (AO) with both Fixed and Dynamic Stop Loss (SL) levels to enhance trade management and risk control.
✅ Buy/Sell Signals:
The indicator generates clear BUY and SELL signals based on the AO crossing above or below the zero line, helping traders capture momentum shifts early.
🛑 Fixed Stop Loss:
Each trade signal comes with a Fixed SL, calculated based on the high (for shorts) or low (for longs) of the previous candle, with a customizable percentage offset. This SL is plotted with a red line, providing a clear initial risk level.
⚡ Dynamic Stop Loss: Continuous Presence, Strategic Use:
A secondary Dynamic SL line is plotted, which is continuously present on the chart. This dynamic level responds to market conditions and can serve as a trailing stop or key decision point.
💡 Recommended Use: It is recommended to actively start using the Dynamic SL once the trade has moved into profit. This allows protecting obtained profits and minimizing the risk of losses in case of a market reversal.
🛡️ Enhanced Dynamic Stop-Loss Strategy:
🔒 Initial Protection: Utilize the Fixed SL as the initial stop-loss, placed below relevant lows (for longs) or above relevant highs (for shorts), or as provided by the fixed SL indicator.
🛤️ Dynamic Tracking:
🟢 Long Trades: Once in profit, the Dynamic SL will dynamically adjust, moving upwards as higher lows are formed, effectively trailing the price and securing profits.
🔴 Short Trades: Conversely, in short trades, once in profit, the Dynamic SL will move downwards as lower highs are formed, protecting gains.
🔄 Alternatively the dynamic stop loss will follow the dynamic SL line provided by the indicator.
🚪 Exiting Trades: When the price crosses below the Dynamic SL line in a LONG trade, or above it in a SHORT trade, the recommended action is to exit the trade.
↩️ Re-entry Consideration: You may consider re-entering only if the price clearly returns above the Dynamic SL (for longs) or below it (for shorts).
⚠️ IMPORTANT - 5-Minute Strategy Guidance ⏱️
This tool is specifically optimized for the 5-minute timeframe. This approach helps filter out weak setups and maintain discipline in volatile market conditions.
✨ Additional Features:
👁️ Visual and editable SL levels
📊 200-period SMA for trend context
💻 Simple and effective interface for intraday trading setups
🎯 Ideal for traders seeking a clean, rule-based system that combines momentum entry signals with layered stop loss protection.
🔑 Key Changes:
It was emphasized that the Dynamic SL is always present, but its active use is recommended once the trade is in profit.
It was clarified the use of the Fixed SL, giving the option to use the one provided by the indicator, or to place it according to the price action.
"stop loss" için komut dosyalarını ara
Smart MA Crossover BacktesterSmart MA Crossover Backtester - Strategy Overview
Strategy Name: Smart MA Crossover Backtester
Published on: TradingView
Applicable Markets: Works well on crypto (tested profitably on ETH)
Strategy Concept
The Smart MA Crossover Backtester is an improved Moving Average (MA) crossover strategy that incorporates a trend filter and an ATR-based stop loss & take profit mechanism for better risk management. It aims to capture trends efficiently while reducing false signals by only trading in the direction of the long-term trend.
Core Components & Logic
Moving Averages (MA) for Entry Signals
Fast Moving Average (9-period SMA)
Slow Moving Average (21-period SMA)
A trade signal is generated when the fast MA crosses the slow MA.
Trend Filter (200-period SMA)
Only enters long positions if price is above the 200-period SMA (bullish trend).
Only enters short positions if price is below the 200-period SMA (bearish trend).
This helps in avoiding counter-trend trades, reducing whipsaws.
ATR-Based Stop Loss & Take Profit
Uses the Average True Range (ATR) with a multiplier of 2 to calculate stop loss.
Risk-Reward Ratio = 1:2 (Take profit is set at 2x ATR).
This ensures dynamic stop loss and take profit levels based on market volatility.
Trading Rules
✅ Long Entry (Buy Signal):
Fast MA (9) crosses above Slow MA (21)
Price is above the 200 MA (bullish trend filter active)
Stop Loss: Below entry price by 2× ATR
Take Profit: Above entry price by 4× ATR
✅ Short Entry (Sell Signal):
Fast MA (9) crosses below Slow MA (21)
Price is below the 200 MA (bearish trend filter active)
Stop Loss: Above entry price by 2× ATR
Take Profit: Below entry price by 4× ATR
Why This Strategy Works Well for Crypto (ETH)?
🔹 Crypto markets are highly volatile – ATR-based stop loss adapts dynamically to market conditions.
🔹 Long-term trend filter (200 MA) ensures trading in the dominant direction, reducing false signals.
🔹 Risk-reward ratio of 1:2 allows for profitable trades even with a lower win rate.
This strategy has been tested on Ethereum (ETH) and has shown profitable performance, making it a strong choice for crypto traders looking for trend-following setups with solid risk management. 🚀
Dual Strategy Selector V2 - CryptogyaniOverview:
This script provides traders with a dual-strategy system that they can toggle between using a simple dropdown menu in the input settings. It is designed to cater to different trading styles and needs, offering both simplicity and advanced filtering techniques. The strategies are built around moving average crossovers, enhanced by configurable risk management tools like take profit levels, trailing stops, and ATR-based stop-loss.
Key Features:
Two Strategies in One Script:
Strategy 1: A classic moving average crossover strategy for identifying entry signals based on trend reversals. Includes user-defined take profit and trailing stop-loss options for profit locking.
Strategy 2: An advanced trend-following system that incorporates:
A higher timeframe trend filter to confirm entry signals.
ATR-based stop-loss for dynamic risk management.
Configurable partial take profit to secure gains while letting the trade run.
Highly Customizable:
All key parameters such as SMA lengths, take profit levels, ATR multiplier, and timeframe for the trend filter are adjustable via the input settings.
Dynamic Toggle:
Traders can switch between Strategy 1 and Strategy 2 with a single dropdown, allowing them to adapt the strategy to market conditions.
How It Works:
Strategy 1:
Entry Logic: A long trade is triggered when the fast SMA crosses above the slow SMA.
Exit Logic: The trade exits at either a user-defined take profit level (percentage or pips) or via an optional trailing stop that dynamically adjusts based on price movement.
Strategy 2:
Entry Logic: Builds on the SMA crossover logic but adds a higher timeframe trend filter to align trades with the broader market direction.
Risk Management:
ATR-Based Stop-Loss: Protects against adverse moves with a volatility-adjusted stop-loss.
Partial Take Profit: Allows traders to secure a percentage of gains while keeping some exposure for extended trends.
How to Use:
Select Your Strategy:
Use the dropdown in the input settings to choose Strategy 1 or Strategy 2.
Configure Parameters:
Adjust SMA lengths, take profit, and risk management settings to align with your trading style.
For Strategy 2, specify the higher timeframe for trend filtering.
Deploy and Monitor:
Apply the script to your preferred asset and timeframe.
Use the backtest results to fine-tune settings for optimal performance.
Why Choose This Script?:
This script stands out due to its dual-strategy flexibility and enhanced features:
For beginners: Strategy 1 provides a simple yet effective trend-following system with minimal setup.
For advanced traders: Strategy 2 includes powerful tools like trend filters and ATR-based stop-loss, making it ideal for challenging market conditions.
By combining simplicity with advanced features, this script offers something for everyone while maintaining full transparency and user customization.
Default Settings:
Strategy 1:
Fast SMA: 21, Slow SMA: 49
Take Profit: 7% or 50 pips
Trailing Stop: Optional (disabled by default)
Strategy 2:
Fast SMA: 20, Slow SMA: 50
ATR Multiplier: 1.5
Partial Take Profit: 50%
Higher Timeframe: 1 Day (1D)
ETH Signal 15m
This strategy uses the Supertrend indicator combined with RSI to generate buy and sell signals, with stop loss (SL) and take profit (TP) conditions based on ATR (Average True Range). Below is a detailed explanation of each part:
1. General Information BINANCE:ETHUSDT.P
Strategy Name: "ETH Signal 15m"
Designed for use on the 15-minute time frame for the ETH pair.
Default capital allocation is 15% of total equity for each trade.
2. Backtest Period
start_time and end_time: Define the start and end time of the backtest period.
start_time = 2024-08-01: Start date of the backtest.
end_time = 2054-01-01: End date of the backtest.
The strategy will only run when the current time falls within this specified range.
3. Supertrend Indicator
Supertrend is a trend-following indicator that provides buy or sell signals based on the direction of price changes.
factor = 2.76: The multiplier used in the Supertrend calculation (increasing this value makes the Supertrend less sensitive to price movements).
atrPeriod = 12: Number of periods used to calculate ATR.
Output:
direction: Determines the buy/sell direction based on Supertrend.
If direction decreases, it signals a buy (Long).
If direction increases, it signals a sell (Short).
4. RSI Indicator
RSI (Relative Strength Index) is a momentum indicator, often used to identify overbought or oversold conditions.
rsiLength = 12: Number of periods used to calculate RSI.
rsiOverbought = 70: RSI level considered overbought.
rsiOversold = 30: RSI level considered oversold.
5. Entry Conditions
Long Entry:
Supertrend gives a buy signal (ta.change(direction) < 0).
RSI must be below the overbought level (rsi < rsiOverbought).
Short Entry:
Supertrend gives a sell signal (ta.change(direction) > 0).
RSI must be above the oversold level (rsi > rsiOversold).
The strategy will only execute trades if the current time is within the backtest period (in_date_range).
6. Stop Loss (SL) and Take Profit (TP) Conditions
ATR (Average True Range) is used to calculate the distance for Stop Loss and Take Profit based on price volatility.
atr = ta.atr(atrPeriod): ATR is calculated using 12 periods.
Stop Loss and Take Profit are calculated as follows:
Long Trade:
Stop Loss: Set at close - 4 * atr (current price minus 4 times the ATR).
Take Profit: Set at close + 2 * atr (current price plus 2 times the ATR).
Short Trade:
Stop Loss: Set at close + 4 * atr (current price plus 4 times the ATR).
Take Profit: Set at close - 2.237 * atr (current price minus 2.237 times the ATR).
Summary:
This strategy enters a Long trade when the Supertrend indicates an upward trend and RSI is not in the overbought region. Conversely, a Short trade is entered when Supertrend signals a downtrend, and RSI is not oversold.
The trade is exited when the price reaches the Stop Loss or Take Profit levels, which are determined based on price volatility (ATR).
Disclaimer:
The content provided in this strategy is for informational and educational purposes only. It is not intended as financial, investment, or trading advice. Trading in cryptocurrency, stocks, or any financial markets involves significant risk, and you may lose more than your initial investment. Past performance is not indicative of future results, and no guarantee of profit can be made. You should consult with a professional financial advisor before making any investment decisions. The creator of this strategy is not responsible for any financial losses or damages incurred as a result of following this strategy. All trades are executed at your own risk.
Fractal Breakout Trend Following StrategyOverview
The Fractal Breakout Trend Following Strategy is a trend-following system which utilizes the Willams Fractals and Alligator to execute the long trades on the fractal's breakouts which have a high probability to be the new uptrend phase beginning. This system also uses the normalized Average True Range indicator to filter trades after a large moves, because it's more likely to see the trend continuation after a consolidation period. Strategy can execute only long trades.
Unique Features
Trend and volatility filtering system: Strategy uses Williams Alligator to filter the counter-trend fractals breakouts and normalized Average True Range to avoid the trades after large moves, when volatility is high
Configurable Trading Periods: Users can tailor the strategy to specific market windows, adapting to different market conditions.
Flexible Risk Management: Users can choose the stop-loss percent (by default = 3%) for trades, but strategy also has the dynamic stop-loss level using down fractals.
Methodology
The strategy places stop order at the last valid fractal breakout level. Validity of this fractal is defined by the Williams Alligator indicator. If at the moment of time when price breaking the last fractal price is higher than Alligator's teeth line (8 period SMA shifted 5 bars in the future) this is a valid breakout. Moreover strategy has the additional volatility filtering system using normalized ATR. It calculates the average normalized ATR for last user-defined number of bars and if this value lower than the user-defined threshold value the long trade is executed.
When trade is opened, script places the stop loss at the price higher of two levels: user defined stop-loss from the position entry price or down fractal validation level. The down fractal is valid with the rule, opposite as the up fractal validation. Price shall break to the downside the last down fractal below the Willians Alligator's teeth line.
Strategy has no fixed take profit. Exit level changes with the down fractal validation level. If price is in strong uptrend trade is going to be active until last down fractal is not valid. Strategy closes trade when price hits the down fractal validation level.
Risk Management
The strategy employs a combined approach to risk management:
It allows positions to ride the trend as long as the price continues to move favorably, aiming to capture significant price movements. It features a user-defined stop-loss parameter to mitigate risks based on individual risk tolerance. By default, this stop-loss is set to a 3% drop from the entry point, but it can be adjusted according to the trader's preferences.
Justification of Methodology
This strategy leverages Williams Fractals to open long trade when price has broken the key resistance level to the upside. This resistance level is the last up fractal and is shall be broken above the Williams Alligator's teeth line to be qualified as the valid breakout according to this strategy. The Alligator filtering increases the probability to avoid the false breakouts against the current trend.
Moreover strategy has an additional filter using Average True Range(ATR) indicator. If average value of ATR for the last user-defined number of bars is lower than user-defined threshold strategy can open the long trade according to open trade condition above. The logic here is following: we want to open trades after period of price consolidation inside the range because before and after a big move price is more likely to be in sideways, but we need a trend move to have a profit.
Another one important feature is how the exit condition is defined. On the one hand, strategy has the user-defined stop-loss (3% below the entry price by default). It's made to give users the opportunity to restrict their losses according to their risk-tolerance. On the other hand, strategy utilizes the dynamic exit level which is defined by down fractal activation. If we assume the breaking up fractal is the beginning of the uptrend, breaking down fractal can be the start of downtrend phase. We don't want to be in long trade if there is a high probability of reversal to the downside. This approach helps to not keep open trade if trend is not developing and hold it if price continues going up.
Backtest Results
Operating window: Date range of backtests is 2023.01.01 - 2024.05.01. It is chosen to let the strategy to close all opened positions.
Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks.
Initial capital: 10000 USDT
Percent of capital used in every trade: 30%
Maximum Single Position Loss: -3.19%
Maximum Single Profit: +24.97%
Net Profit: +3036.90 USDT (+30.37%)
Total Trades: 83 (28.92% win rate)
Profit Factor: 1.953
Maximum Accumulated Loss: 963.98 USDT (-8.29%)
Average Profit per Trade: 36.59 USDT (+1.12%)
Average Trade Duration: 72 hours
These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters.
How to Use
Add the script to favorites for easy access.
Apply to the desired timeframe and chart (optimal performance observed on 4h and higher time frames and the BTC/USDT).
Configure settings using the dropdown choice list in the built-in menu.
Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}}
Disclaimer:
Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
Momentum Alligator 4h Bitcoin StrategyOverview
The Momentum Alligator 4h Bitcoin Strategy is a trend-following trading system that operates on dual time frames. It utilizes the 1D Williams Alligator indicator to identify the prevailing major price trend and seeks trading opportunities on the 4-hour (4h) time frame when the momentum is turning up. The strategy is designed to close trades if the trend fails to develop or holding position if price continues increasing without any significant correction. Note that this strategy is specifically tailored for the 4-hour time frame.
Unique Features
2-layers market noise filtering system: Trades are only initiated in the direction of the 1D trend, determined by the Williams Alligator indicator. This higher time frame confirmation filters out minor trade signals, focusing on more substantial opportunities. At the same time, strategy has additional filter on 4h time frame with Awesome Oscillator which is showing the current price momentum.
Flexible Risk Management: The strategy exclusively opens long positions, resulting in fewer trades during bear markets. It incorporates a dynamic stop-loss mechanism, which can either follow the jaw line of the 4h Alligator or a user-defined fixed stop-loss. This flexibility helps manage risk and avoid non-trending markets.
Methodology
The strategy initiates a long position when the d-line of Stochastic RSI crosses up it's k-line. It means that there is a high probability that price momentum reversed from down to up. To avoid overtrading in potentially choppy markets, it skips the next two trades following a winning trade, anticipating sideways movement after a significant price surge.
This strategy has two layers trades filtering system: 4h and 1D time frames. The first one is awesome oscillator. It shall be increasing and value has to be higher than it's 5-period SMA. This is an additional confirmation that long trade is opened in the direction of the current momentum. As it was mentioned above, all entry signals are validated against the 1D Williams Alligator indicator. A trade is only opened if the price is above all three lines of the 1D Alligator, ensuring alignment with the major trend.
A trade is closed if the price hits the 4h jaw line of the Alligator or reaches the user-defined stop-loss level.
Risk Management
The strategy employs a combined approach to risk management:
It allows positions to ride the trend as long as the price continues to move favorably, aiming to capture significant price movements. It features a user-defined stop-loss parameter to mitigate risks based on individual risk tolerance. By default, this stop-loss is set to a 2% drop from the entry point, but it can be adjusted according to the trader's preferences.
Justification of Methodology
This strategy leverages Stochastic RSI on 4h time frame to open long trade when momentum started reversing to the upside. On the one hand, Stochastic RSI is one of the most sensitive indicator, which allows to react fast on the potential trend reversal. On the other hand, this indicator can be too sensitive and provide a lot of false trend changing signals. To eliminate this weakness we use two-layers trades filtering system.
The first layer is the 4h Awesome oscillator. This is less sensitive momentum indicator. Usually it starts increasing when price has already passed significant distance from the actual reversal point. The strategy opens long trade only is Awesome oscillator is increasing and above it's 5-period SMA. This approach increases the probability to filter the false signals during the choppy market or if the reversal is false.
The second layer filter is the Williams Alligator indicator on 1D time frame. The 1D Alligator serves as a filter for identifying the primary trend and increases probability to avoid the trades with low potential because trading against major trend usually is more risky. It's much better to catch the trend continuation than local bounce.
Last but not least feature of this strategy is close trades condition. It uses the flexible approach. First of all, user can set up the fixed stop-loss according to his own risk-tolerance, by default this value is 2% of price movement. It restricts the potential loss at the moment when trade has just been opened. Moreover strategy utilizes the 4h Williams Alligator's jaw line to exit the trade. If price fell below it trade is closed. This approach helps to not keep open trade if trend is not developing and hold it if price continues going up.
Backtest Results:
Operating window: Date range of backtests is 2021.01.01 - 2024.05.01. It is chosen to let the strategy to close all opened positions.
Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks.
Initial capital: 10000 USDT
Percent of capital used in every trade: 50%
Maximum Single Position Loss: -3.04%
Maximum Single Profit: +29.67%
Net Profit: +6228.01 USDT (+62.28%)
Total Trades: 118 (24.58% win rate)
Profit Factor: 1.71
Maximum Accumulated Loss: 1527.69 USDT (-11.52%)
Average Profit per Trade: 52.78 USDT (+0.89%)
Average Trade Duration: 60 hours
These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters.
How to Use:
Add the script to favorites for easy access.
Apply to the 4h timeframe desired chart (optimal performance observed on the BTC/USDT).
Configure settings using the dropdown choice list in the built-in menu.
Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}}
Disclaimer:
Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
Range Average Retest Model [LuxAlgo]The Range Average Retest Model tool highlights setups from the range average retest entry model, a model using the retest of the average between two opposite swing points as an entry.
This tool uses long-term volatility coupled with user-defined multipliers to filter out swing areas and set take profit and stop loss levels for all trades.
Key features include:
Draw up to 165 swing areas and their associated trades
Filter out swing areas using Pivot Length , Selection Mode and Threshold parameters
Filter out trades with Maximum Distance and Minimum Distance parameters
Enable or disable swing areas and select default colors
Enable or disable overlapping trades and change the default colors for Take Profit and Stop Loss zones
🔶 USAGE
The "Range Average Retest Model" is an entry model that enters a position when the price retests the average made between two swing points. Users can determine the period of the detected swing points from the "Pivot Length" setting.
The conditions for long or short trades, regardless of whether the swing area is bullish or bearish, are as follows:
Long positions: the current bar close is below the swing area average and the last bar close was above it.
Short positions: the current bar close is above the swing area average price and the last bar close was below it.
Each trade is displayed on the chart with a line connecting it to its swing area highlighting the range average, a green area for the take profit, and a red area for the stop loss.
Both the Take Profit and Stop Loss levels are calculated by applying your own multiplier in the settings panel to the long-term volatility measure, in this case, the average true range over the last 200 bars.
Trades will remain open until they reach either the Stop Loss or Take Profit price levels.
🔹 Filtering Swing Areas
The daily chart of the Nasdaq-100 futures (NQ) with pivot length 2 and bullish selection mode: it only detects bullish swing areas, but they are smaller and more numerous.
Traders can manipulate the behavior of the swing areas from the settings panel.
The Selection mode will filter areas by bias: it will detect bullish areas, bearish areas, or both.
The Threshold parameter is applied to the long-term volatility to filter out areas where the average prices are too close together; the higher the value, the greater the difference between the average prices must be.
🔹 Trades
3-minute chart of the Nasdaq-100 futures (NQ) with pivot length 5, bearish selection mode maximum distance 4, and stop loss 2: many trades detected with very asymmetric risk/reward.
The behavior of the trades is also manipulated from the settings panel.
The maximum and minimum distance parameters specify the number of bars a trade must be away from a swing area.
The Take Profit and Stop Loss parameters are applied to the long-term volatility to obtain their respective price levels.
🔹 Overlapping Trades
Same chart as before, but with overlapping trades: messy, right?
By default the tool does not show overlapping trades, this allows for a cleaner chart.
In the settings panel traders can enable overlapping mode, in which case the tool will show all available trades.
Traders must be aware that the chart can be very crowded.
🔶 SETTINGS
🔹 Swings
Pivot Length: How many bars are used to confirm a swing point. The larger this parameter is, the larger and fewer swing areas will be detected.
Selection Mode: Swing area detection mode, detect only bullish swings, only bearish swings, or both.
Threshold: Swing area comparator. This threshold is multiplied by a measure of volatility (average true range over the last 200 bars), for a new swing area to be detected it must have an average level that is sufficiently distant from the average level of any untouched swing area, this parameter controls that distance.
🔹 Trades
Maximum distance: Maximum distance allowed between a swing area and a trade.
Minimum distance: Minimum distance allowed between a swing area and a trade.
Take profit: The size of the take profit - this threshold is multiplied by a measure of volatility (the average true range over the last 200 bars).
Stop loss: The size of the stop-loss: this threshold is multiplied by a measure of volatility (the average true range over the last 200 bars).
MACD of Relative Strenght StrategyMACD Relative Strenght Strategy :
INTRODUCTION :
This strategy is based on two well-known indicators: MACD and Relative Strenght (RS). By coupling them, we obtain powerful buy signals. In fact, the special feature of this strategy is that it creates an indicator from an indicator. Thus, we construct a MACD whose source is the value of the RS. The strategy only takes buy signals, ignoring SHORT signals as they are mostly losers. There's also a money management method enabling us to reinvest part of the profits or reduce the size of orders in the event of substantial losses.
RELATIVE STRENGHT :
RS is an indicator that measures the anomaly between momentum and the assumption of market efficiency. It is used by professionals and is one of the most robust indicators. The idea is to own assets that do better than average, based on their past performance. We calculate RS using this formula :
RS = close/highest_high(RS_Length)
Where highest_high(RS_Length) = highest value of the high over a user-defined time period (which is the RS_Length).
We can thus situate the current price in relation to its highest price over this user-defined period.
MACD (Moving Average Convergence - Divergence) :
This is one of the best-known indicators, measuring the distance between two exponential moving averages : one fast and one slower. A wide distance indicates fast momentum and vice versa. We'll plot the value of this distance and call this line macdline. The MACD uses a third moving average with a lower period than the first two. This last moving average will give a signal when it crosses the macdline. It is therefore constructed using the values of the macdline as its source.
It's important to note that the first two MAs are constructed using RS values as their source. So we've just built an indicator of an indicator. This kind of method is very powerful because it is rarely used and brings value to the strategy.
PARAMETERS :
RS Length : Relative Strength length i.e. the number of candles back to find the highest high and compare the current price with this high. Default is 300.
MACD Fast Length : Relative Strength fast EMA length used to plot the MACD. Default is 14.
MACD Slow Length : Relative Strength slow EMA length used to plot the MACD. Default is 26.
MACD Signal Smoothing : Macdline SMA length used to plot the MACD. Default is 10.
Max risk per trade (in %) : The maximum loss a trade can incur (in percentage of the trade value). Default is 8%.
Fixed Ratio : This is the amount of gain or loss at which the order quantity is changed. Default is 400, meaning that for each $400 gain or loss, the order size is increased or decreased by a user-selected amount.
Increasing Order Amount : This is the amount to be added to or subtracted from orders when the fixed ratio is reached. The default is $200, which means that for every $400 gain, $200 is reinvested in the strategy. On the other hand, for every $400 loss, the order size is reduced by $200.
Initial capital : $1000
Fees : Interactive Broker fees apply to this strategy. They are set at 0.18% of the trade value.
Slippage : 3 ticks or $0.03 per trade. Corresponds to the latency time between the moment the signal is received and the moment the order is executed by the broker.
Important : A bot has been used to test the different parameters and determine which ones maximize return while limiting drawdown. This strategy is the most optimal on BITSTAMP:ETHUSD in 8h timeframe with the parameters set by default.
ENTER RULES :
The entry rules are very simple : we open a long position when the MACD value turns positive. You are therefore LONG when the MACD is green.
EXIT RULES :
We exit a position (whether losing or winning) when the MACD becomes negative, i.e. turns red.
RISK MANAGEMENT :
This strategy can incur losses, so it's important to manage our risks well. If the position is losing and has incurred a loss of -8%, our stop loss is activated to limit losses.
MONEY MANAGEMENT :
The fixed ratio method was used to manage our gains and losses. For each gain of an amount equal to the value of the fixed ratio, we increase the order size by a value defined by the user in the "Increasing order amount" parameter. Similarly, each time we lose an amount equal to the value of the fixed ratio, we decrease the order size by the same user-defined value. This strategy increases both performance and drawdown.
Enjoy the strategy and don't forget to take the trade :)
MFR RangeHello Traders!
You requested it for many months, we are finally making our proprietary Range available to all.
First of all, how should a trader consider a Range in general:
In trading, a "range" refers to a specific price interval or zone within which an asset's price moves or consolidates for a period of time. Ranges are characterized by relatively horizontal or sideways price movements, where the price oscillates between a defined upper and lower boundary. Traders often use ranges to identify potential trading opportunities, manage risk, and make trading decisions.
Here's how ranges are used in trading:
1. Range Identification:
Traders identify ranges by observing price charts and looking for periods where the price appears to be moving horizontally with clear upper and lower boundaries.
Common range patterns include rectangles, channels, and horizontal consolidations.
2. Range Trading Strategies:
Range trading strategies aim to profit from price movements within the established range. Traders typically use two main approaches within a range:
Buying near the range's lower boundary: Traders buy when the price approaches the lower end of the range, anticipating a bounce or reversal towards the upper boundary. This is often referred to as "buying support."
Selling near the range's upper boundary: Traders sell when the price approaches the upper end of the range, anticipating a pullback or reversal towards the lower boundary. This is known as "selling resistance."
3. Risk Management:
Stop-loss orders are crucial when trading ranges. Traders set stop-loss orders just outside the range's boundaries to limit potential losses if the price breaks out of the range unpredictably.
4. Range Breakouts:
Ranges do not last indefinitely, and eventually, the price may break out of the range, leading to a significant price movement.
Traders often look for breakout patterns and use breakout trading strategies to capitalize on the potential for a strong price movement after the range is broken.
5. Volatility Consideration:
Some traders may assess the volatility within the range. If the price oscillates within the range with high volatility, they may consider trading shorter timeframes for smaller, quicker profits.
Lower volatility may prompt longer-term traders to take positions within the range, expecting a slower, more controlled price movement.
6. Time Frame Analysis:
Traders may analyze the time frame in which the range has developed, in our case MFR range are based solely on the Daily timeframe.
7. Confirmation Indicators:
Traders often use technical indicators like Relative Strength Index (RSI), Moving Averages, or Bollinger Bands to confirm range trading signals and assess overbought or oversold conditions.
8. Range Boundaries as Support and Resistance:
Once a range is identified, its upper and lower boundaries can serve as key support and resistance levels even after the range is broken. Traders pay attention to these levels for future trading decisions.
9. Range Expansion:
Some traders look for signs of range expansion, where the price starts to break out or trend strongly. This can signal the end of a range-bound market and a transition to a trending market.
It's important to note that while range trading can be profitable, it requires careful analysis and risk management. Traders must be prepared for the possibility of a breakout that can result in significant losses if they are on the wrong side of the trade. Additionally, market conditions can change, and ranges can evolve into trends or other patterns, so traders need to adapt their strategies accordingly.
What is specific to MFR range?
This script calculates and plots a trading range on a daily timeframe based on historical price data. Based on Benoit Mandelbrot and Edgar E. Peters publications on Range, we run a set of calculations over a defined period. The script will define those to generate the "Range High" and "Range Low". These values are used to define the upper and lower bounds of the trading range.
In short, how could I use this script?
A trader could use the Range to find overbought or oversold points to enter a position. The Lower Range being the price to buy an asset and the Upper Range being the place to sell an asset. This is recommended to be implemented only when our other indication called Trend matches the strategy: buy when the trend is bullish or short when the trend is bearish.
It's important to note that while Range is a useful tool, it should not be relied upon solely for making trading decisions. It's recommended to use it in conjunction with other technical analysis tools and consider other factors such as market conditions, risk management, and fundamental analysis. Remember that the Range indicator is just one tool among many, and it's important to consider other factors such as volume, momentum, volatility, and overall market conditions when making trading decisions. Additionally, using stop-loss orders and proper risk management techniques is crucial to mitigate potential losses.
We hope that you will find these explanations useful, please contact us by private message for access.
Enjoy!
DISCLAIMER: No sharing, copying, reselling, modifying, or any other forms of use are authorised. This script is strictly for individual use and educational purposes only. This is not financial or investment advice. Investments are always made at your own risk and are based on your personal judgement. Myfractalrange is not responsible for any losses you may incur. Please invest wisely.
[Fedra Algotrading Strategy Trailing Stop Version]Simpler version of my popular strategy.Optimized for cryptocurrencies. Originally conceived to trade automatically through bots (that's how I use it), it also works to get signals and trade manually in any exchange.
It works in spot.
Buy the dip:
Attempts to buy on the dip, finding entries when the price makes abrupt dips that break deviation of the linear regression of the last periods.
Trend Detection:
Determines whether the market is in an uptrend or downtrend by crossing 2 SMAs + super trend in different temporalities. This affects the performance of the strategy. It works as a filter to avoid making entries in a downtrend.
% Trailing Stop Loss. The Stop Loss is placed a % below the price and accompanies it in the rises to make the most of an uptrend.
Optionally, you can set up a percentage Take Profit
It allows you to easily configure the backtest period to optimize the parameters for consistent results.
The strategy calculates by default a commission of 0.1% on each trade to make the backtest more "pessimistic".
Includes advanced features for compatibility with different bots platforms in the market.
Risk management by % of equity or by maximum series of losses.
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Versión más simple de mi popular estrategia, optimizada para criptomonedas. Originalmente concebida para operar automáticamente a través de bots (así es como la uso yo), también funciona para obtener señales y operar manualmente en cualquier exchange.
Funciona en spot.
Compra en la caída:
Intenta comprar en la caída, encontrando entradas cuando el precio hace caídas abruptas que rompen la desviación de la regresión lineal de los últimos períodos.
Detección de tendencia:
Determina si el mercado está en tendencia alcista o bajista mediante el cruce de 2 SMAs + super trend en diferentes temporalidades. Esto afecta al rendimiento de la estrategia. Funciona como un filtro para evitar hacer entradas en contra de la tendencia del mercado.
% Trailing Stop Loss. El Stop Loss se coloca un % por debajo del precio y lo acompaña en las subidas para aprovechar una tendencia alcista.
Opcionalmente, se puede establecer un porcentaje de Take Profit
Permite configurar fácilmente el periodo de backtest para optimizar los parámetros y obtener resultados consistentes.
La estrategia calcula por defecto una comisión del 0,1% en cada operación para que el backtest sea más "pesimista".
Incluye características avanzadas para la compatibilidad con diferentes plataformas de bots en el mercado.
Gestión del riesgo por % del capital o por serie máxima de pérdidas.
[ADOL_]Trend BreakENG)
Trend Break trend break+
It automatically draws a trend line and generates signals based on elaborate standards.
It is a secretary who plays an excellent role as an auxiliary tool in the sale and sale.
Trend lines are an important tool in determining the direction of trading.
These indicators are automatic trend line construction and trading signal generation indicators.
The background informs the trend section. The key function is the notation of signals.
principle)
It reflects the concept of HH and LL.
What is HH? Abbreviation of Higher High, which means to increase the high point.
What is LL? It stands for Lower Low, which means to lower the low point.
The trend line is created by the basic construction method that connects the highs and the highs, and the lows and the lows.
The basic signal is prepared by generating a signal from the 3 previous candles of the breakthrough of the trend line.
Basic signal; L for long, S for short
When the flow continues in one direction by reflecting the candle flow in ascending and descending order
Create a filtered signal.
Filtering signal; Filtering signals are marked with ★.
The background is the output through direction matching filtering of the double weighted moving average.
Green Background: Uptrend Progress
Red background: downtrend progress
Gray background: neutral zone (rebound, retracement, crossing)
Principle example)
This is an example of a signal with no filtering applied.
This is an example of a filtered signal.
option)
Line color, line shape, whether or not to include a tail when drawing a trend, line thickness
You can choose options such as.
Time frame)
Applicable to all time frames.
Scalping: 1 minute bar, 3 minute bar
Single hit: 3 minutes, 15 minutes, 1 hour
Swing: 1 hour salary, 4 hour salary, daily salary
Applicable market)
Applicable to all markets.
Examples of market application)
NASDAQ
Korean stocks (ex: Samsung Electronics)
alert)
You can use the alert function.
-Background alert for trend direction
-Alert to break through downtrend line and alert to break through uptrend line
-Filtering applied alert to break through the downtrend line
-Filtering applied alert to break through the uptrend line
Trading method)
1. The trend line refers to the concept of support/resistance touch. Through the concept of touch
You can set a standard once more to see if the signal output is adequate.
One touch of support/resistance line: On the first touch, see long at the support line and short at the resistance line.
Touch the support/resistance line 2: Check the position once more in the step of building (consolidating) the support/resistance line. Long at the support level and short at the resistance level.
3 touches of the ground/resistance line: This is the section with high possibility in both directions.
Support/resistance line 4 (or higher) touch: Use as a breakthrough reference line. When breaking through, hit short at the support line and long at the resistance line.
If the support/resistance line breaks through to the closing price, support becomes resistance and resistance becomes support."
Trading method)
1. The trend line refers to the concept of support/resistance touch. Through the concept of touch
You can set a standard once more to see if the signal output is adequate.
One touch of support/resistance line: On the first touch, see long at the support line and short at the resistance line.
Touch the support/resistance line 2: Check the position once more in the step of building (consolidating) the support/resistance line. Long at the support level and short at the resistance level.
3 touches of the ground/resistance line: This is the section with high possibility in both directions.
Support/resistance line 4 (or higher) touch: Use as a breakthrough reference line. When breaking through, hit short at the support line and long at the resistance line.
If the support/resistance line breaks through to the closing price, support becomes resistance and resistance becomes support."
2. Entry Criteria/Stop Loss Criteria
-Entry criteria; Follow the signal.
-Stop loss criteria;
Using Fixed Stop Loss: Set the 1% fixed stop loss interval from signal generation (% is set individually).
Use of Candle Stop: When the low or high point of the signal generating rod collapses, set the stop loss.
Use of flow stop loss: Set the stop loss by considering the flow of the wave.
3. Note
All trading decisions you make are your sole responsibility.
If the indicators were helpful, please support us. Help in developing the following metrics.
4. How to use
Tap Add Indicator to Favorites. Click on the indicator at the top of the chart screen and look at the left tab
Indicators have been added. Press to use. Anyone can use it.
KOR)
Trend Break 추세돌파+
추세선을 자동으로 작도해주며, 정교화된 기준으로 시그널을
발생시켜 매매에 보조도구로써 훌륭한 역할을 수행해내는 비서입니다.
추세선은 매매의 방향성을 결정하는데 중요한 도구입니다.
해당 지표는 자동 추세선 작도와 매매 시그널 발생 지표입니다.
배경은 추세구간을 알려줍니다. 핵심기능은 시그널의 표기입니다.
원리)
HH와 LL의 개념을 반영합니다.
HH란 ? Higher High의 약자로 고점을 높인다는 의미입니다.
LL란? Lower Low의 약자로 저점을 낮춘다는 의미입니다.
추세선은 고점과 고점, 저점과 저점을 잇는 기본 작도 방법으로 만들어집니다.
추세선 돌파의 3개 이전 캔들부터 신호발생으로 준비를 기본 시그널을 만듭니다.
기본 시그널 ; 롱의 경우 L 표기, 숏의 경우 S표기
오름차순과 내림차순의 캔들 흐름을 반영하여, 한 방향으로 흐름이 지속될때
필터링된 시그널을 만듭니다.
필터링 시그널 ; 필터링 시그널은 ★ 표기가 붙습니다.
배경은 이중 가중이동 평균의 방향일치 필터링을 통한 출력입니다.
초록색 배경 : 상승추세 진행
빨간색 배경 : 하락추세 진행
회색 배경 : 중립구역(반등, 되돌림, 교차)
원리 예시)
필터링이 적용되지 않은 시그널의 예시입니다.
필터링이 적용된 시그널의 예시입니다.
옵션)
선색상, 선모양, 추세선작도시 꼬리포함여부, 선굵기
등의 옵션을 선택할 수 있습니다.
타임프레임)
모든 시간프레임에 적용 가능합니다.
스캘핑 : 1분봉, 3분봉
단타 : 3분봉, 15분봉, 1시간봉
스윙 : 1시간봉, 4시간봉, 일봉
적용시장)
모든 시장에 적용 가능합니다.
시장 적용의 예시)
나스닥
한국주식(예 : 삼성전자)
알람)
얼러트 기능을 사용할 수 있습니다.
- 추세방향성에 대한 배경의 얼러트
- 하락추세선 돌파 얼러트, 상승추세선 돌파 얼러트
- 필터링을 적용한 하락추세선 돌파 얼러트
- 필터링을 적용한 상승추세선 돌파 얼러트
매매방법)
1. 추세선은 지지/저항의 터치 개념을 참고합니다. 터치의 개념을 통해
시그널 출력이 적절한지 한번 더 기준을 잡을 수 있습니다.
지지/저항선 1터치 : 첫번째 터치에는 지지선에서 롱을, 저항선에서 숏을 봅니다.
지지/저항선 2터치 : 지지/저항선 구축(다지기)의 단계로 한번 더 자리를 확인합니다. 지지선에서 롱을, 저항선에서 숏을 봅니다.
지/저항선의 3터치 : 양방향의 가능성이 높은 구간입니다.
지지/저항선4(이상)터치 : 돌파기준선으로 사용합니다. 돌파할 때, 지지선에서 숏을, 저항선에서 롱을 칩니다.
지지/저항선이 종가로 뚫리면 지지는 저항이 되고, 저항은 지지가 됩니다."
2. 진입기준/손절기준
- 진입기준; 시그널을 따릅니다.
- 손절기준;
고정손절가 이용 : 시그널 발생으로부터 1% 고정 손절가 구간을 설정합니다.(%는 개별로 설정)
캔들손절가 이용 : 시그널 발생봉의 저점이나 고점이 무너지면 손절을 설정합니다.
흐름손절가 이용 : 파동의 흐름을 고려하여 손절을 설정합니다.
3. 참고
귀하가 내리는 모든 거래 결정은 전적으로 귀하의 책임입니다.
지표가 도움이 되었다면 응원 부탁드립니다. 다음 지표 개발에 도움이 됩니다.
4. 사용방법
즐겨찾기에 인디케이터 넣기를 누릅니다. 차트화면 상단에 지표를 눌러서 왼쪽탭에 보면
지표가 추가되어 있습니다. 눌러서 사용합니다. 누구나 사용할 수 있습니다.
Dankland Playground DCAing multi-strategy OPThis is essentially a script that I made for myself before deciding it may be good enough for you all as well.
How it works basically is this... you have 18 oscillators which can all be used as independently as you wish. That means there are 20 groups which they can be split amongst as you choose.
When in separate groups they should not be able to sell eachothers positions without triggering a stop loss. Every single oscillator has its own position sizing and exit sizing which can be stated as either a percent of balance or a flat amount of contracts. Each oscillator has a minimum amount of profit you can tell it to sell it, which is calculated from the average cost of your current position, which does include all groups. This works out to help you average out better entry and exit prices, essentially a method of DCAing.
You can set the minimum sale amount, which is to keep it from placing orders below your exchanges minimum dollar trade cost.
The included oscillators are as follows:
Chande Momentum cross
Moving Average Cross
MACD cross
%B Bollinger cross
Stochastic cross + region filter
Stochastic RSI cross + region filter
SMII cross and region
Three RMIs
Standard RSI
LSMA-smoothed RSI
Know Sure Thing
RSI of KST
Coppock Curve
RSI of Curve
PPO
RSI of PPO
Trix
RSI of Trix
So the idea is that this is essentially multiple strategies combined into one backtestable house. Balance is calculated for all position sizes in order to try to prevent false entries that plague so many scripts (IE, you set pyramiding to 2, each buy $1000, initial balance $1000, and yet it buys two orders off the bat for $2000 total and nets 400% profit because the second was considered free)/
You tune each side and position size them so that they work together as well as you can and in doing so you are able to create a single backtest that is capable of running a bot, essentially, between multiple strategies - you can run a slower Moving Average cross, a faster SMI cross or MACD, or Bollinger that grabs big moves only, all the while having MACD trade small bonuses along the way. This way you can weight the Risk to Reward of each against eachother.
I will not try to claim this is something you can open and with no work have the best bot on the planet. This scripts intention is to take a lot of relatively common trading strategies and combine them under on roof with some risk management and the ability to weigh each against eachother.
If you are looking for a super advanced singular algorithm that tries to capture every peak and valley exactly on the dot, this is not for you. If you are looking for a tool with a high level of customizability, with a publisher who intends to update it to the best of his ability in accordance to seeking to make the best product that I personally can make for both myself and the community (because I will be using this myself of course!) that was specifically designed with the intention of performing well in spot markets by averaging low entry costs and high exit costs, this is for you! That is the exact intention here.
I do not trade margin currently, I trade spot. I am sure this script can be tuned to work on margin but this is not my intention or area so if this is you and there is something you need for margin specifically implemented, ask, because I likely don't know what you need yet.
The current backtest shown is hand-optimized by myself for BTC/USD 1hr market with NO stop loss enabled and all sales weighed to be around 0% minimum profit from the total average entry cost.
I chose to run it myself with no stop losses because Bitcoin is so bullish to me. The stop losses can still be very profitable, but not 1495% net profit. This style of automation is not for everyone as when running with no stop loss and the requirement every sale is somewhat profitable, or at least no very noticeable loss, you wind up relying on yourself to manually stop out if things crash too much and the bot has to stop trading to wait for market to go back up. The thing to do here if you are playing without a stop loss is to have your own alerts set at your fear level, a % drop in a period of time or something like that, and when you reach that point I would consider resetting the bot so it continues to take trades. I personally will accept a temporary drop in USD as long as I can keep my BTC holdings up overall as the goal should always be to have as many BTC as possible by the start and end of the bull run.
Bollinger Bands Strategy with Intraday Intensity IndexFor Educational Purposes. Results can differ on different markets and can fail at any time. Profit is not guaranteed.
This only works in a few markets and in certain situations. Changing the settings can give better or worse results for other markets.
This is a mean reversion strategy based on Bollinger Bands and the Intraday Intensity Index (a volume indicator). John Bollinger mentions that the Intraday Intensity Index can be used with Bollinger Bands and is one of the top indicators he recommends in his book. It seems he prefers it over the other volume indicators that he compares to for some reason. III looks a lot like Chaikin Money Flow but without the denominator in that calculation. On the default settings of the BBs, the III helps give off better entry signals. John Bollinger however is vague on how to use the BBs and it's hard to say if one should enter when it is below/above the bands or when the price crosses them. I find that with many indicators and strategies it's best to wait for a confirmation of some sort, in this case by waiting for some crossover of a band. Like most mean reversion strategies, the exit is very loose if using BBs alone. Usually the plan to exit is when the price finally reverts back to the mean or in this case the middle band. This can potentially lead to huge drawdowns and/or losses. Mean reversion strategies can have high win/loss ratios but can still end up unprofitable because of the huge losses that can occur. These drawdowns/losses that mean reversion strategies suffer from can potentially eat away at a large chunk of all that was previously made or perhaps up to all of it in the worst cases, can occur weeks or perhaps up to months after being profitable trading such a strategy, and will take a while and several trades to make it all back or keep a profitable track record. It is important to have a stop loss, trailing stop, or some sort of stop plan with these types of strategies. For this one, in addition to exiting the trade when price reverts to the middle band, I included a time-based stop plan that exits with a gain or with a loss to avoid potentially large losses, and to exit after only a few periods after taking the trade if in profit instead of waiting for the price to revert back to the mean.
AltS Swing [Backtester]
PLEASE READ THIS DESCRIPTION TO SAVE TIME AND UNDERSTAND WHAT THIS INDICATOR DOES
This is the backtesting version for this script
In this back tested version I have shown it to be used on regular candles with realistic calculations in regards to positions sizes, slippage, fees and more
Kind Regards
This is a official version of AltSignals Long/Short Reverse Indicator
Description:
This indicator uses various indicators in combination with each other, some of the key ones to mention is Hulls, EMA , MA. Along with that it uses EMA crossovers to get the precise entries and exits.
The recommended time frames with this indictor are shorter ones, for example 5m,10m,15m work well, along with that I have found that some of the more unique time frames also work well such as 20m,45m,2hr and so on.
This indicator is not super advanced but it's still very powerful, with only 130 lines of code.
This indicator works on every chart, time, and candle type but you must play with the settings to find what is best, the same setting will not work on every pair etc.
With AltSignals Swing Indicator it trades one way, that means it gives 3 pieces of information. BUY/TakeProfit/StopLoss.
Unlike most indicators which Buy and Sell both ways this one focuses on one direction of trading so please take into account when using this.
I have added in a reverse strategy which basically shows the opposite values of of the buy, so if you select the box in the settings and un-tick it, then it will show opposite directions so sells only.
This feature is very useful especially in general bear markets when buying is difficult.
I have also added in the option for no stop losses to be used, if you set the stop loss value = 100 then it will show no stop losses.
I suggest a stop loss somewhere in the region of 1-2-3%, please note that you can use decimal stop losses too so for example 0.1 or 0.5.
This indicator is NOT a once size fits all, every chart is different, time frame and candles also, so i would suggest spending some time going through and playing with the channel length settings, which will change the EMA numbers.
Using this along with the back script to find the ideal settings is the best way to use this script, once you have done that make sure to save those values somewhere.
Its important to remember that the Regular script and the back testing script values should be the same for them to match up on the chart, so the channel lengths, stop losses and so on values should be the same.
Side note
This is not financial advice.
We will continue making updates as time goes on.
If you would like to try this script for free please visit our website or message us on Tradingview live chat.
AltS Swing [Backtester]
PLEASE READ THIS DESCRIPTION TO SAVE TIME AND UNDERSTAND WHAT THIS INDICATOR DOES
This is the backtesting version for this script
In this back tested version I have shown it to be used on regular candles with realistic calculations in regards to positions sizes, slippage, fees and more
Kind Regards
This is a official version of AltSignals Long/Short Reverse Indicator
Description:
This indicator uses various indicators in combination with each other, some of the key ones to mention is Hulls, EMA , MA. Along with that it uses EMA crossovers to get the precise entries and exits.
The recommended time frames with this indictor are shorter ones, for example 5m,10m,15m work well, along with that I have found that some of the more unique time frames also work well such as 20m,45m,2hr and so on.
This indicator is not super advanced but it's still very powerful, with only 130 lines of code.
This indicator works on every chart, time, and candle type but you must play with the settings to find what is best, the same setting will not work on every pair etc.
With AltSignals Swing Indicator it trades one way, that means it gives 3 pieces of information. BUY/TakeProfit/StopLoss.
Unlike most indicators which Buy and Sell both ways this one focuses on one direction of trading so please take into account when using this.
I have added in a reverse strategy which basically shows the opposite values of of the buy, so if you select the box in the settings and un-tick it, then it will show opposite directions so sells only.
This feature is very useful especially in general bear markets when buying is difficult.
I have also added in the option for no stop losses to be used, if you set the stop loss value = 100 then it will show no stop losses.
I suggest a stop loss somewhere in the region of 1-2-3%, please note that you can use decimal stop losses too so for example 0.1 or 0.5.
This indicator is NOT a once size fits all, every chart is different, time frame and candles also, so i would suggest spending some time going through and playing with the channel length settings, which will change the EMA numbers.
Using this along with the back script to find the ideal settings is the best way to use this script, once you have done that make sure to save those values somewhere.
Its important to remember that the Regular script and the back testing script values should be the same for them to match up on the chart, so the channel lengths, stop losses and so on values should be the same.
Side note
This is not financial advice.
We will continue making updates as time goes on.
If you would like to try this script for free please visit our website or message us on Tradingview live chat.
AltS Swing (INV)
PLEASE READ THIS DESCRIPTION TO SAVE TIME AND UNDERSTAND WHAT THIS INDICATOR DOES
This is a official version of AltSignals Long/Short Reverse Indicator
Description:
This indicator uses various indicators in combination with each other, some of the key ones to mention is Hulls, EMA , MA. Along with that it uses EMA crossovers to get the precise entries and exits.
The recommended time frames with this indictor are shorter ones, for example 5m,10m,15m work well, along with that I have found that some of the more unique time frames also work well such as 20m,45m,2hr and so on.
This indicator is not super advanced but it's still very powerful, with only 130 lines of code.
This indicator works on every chart, time, and candle type but you must play with the settings to find what is best, the same setting will not work on every pair etc.
With AltSignals Swing Indicator it trades one way, that means it gives 3 pieces of information. BUY/TakeProfit/StopLoss.
Unlike most indicators which Buy and Sell both ways this one focuses on one direction of trading so please take into account when using this.
I have added in a reverse strategy which basically shows the opposite values of of the buy, so if you select the box in the settings and un-tick it, then it will show opposite directions so sells only.
This feature is very useful especially in general bear markets when buying is difficult.
I have also added in the option for no stop losses to be used, if you set the stop loss value = 100 then it will show no stop losses.
I suggest a stop loss somewhere in the region of 1-2-3%, please note that you can use decimal stop losses too so for example 0.1 or 0.5.
This indicator is NOT a once size fits all, every chart is different, time frame and candles also, so i would suggest spending some time going through and playing with the channel length settings, which will change the EMA numbers.
Using this along with the back script to find the ideal settings is the best way to use this script, once you have done that make sure to save those values somewhere.
Its important to remember that the Regular script and the back testing script values should be the same for them to match up on the chart, so the channel lengths, stop losses and so on values should be the same.
Side note
This is not financial advice.
We will continue making updates as time goes on.
If you would like to try this script for free please visit our website or message us on Tradingview live chat.
AltS Swing
PLEASE READ THIS DESCRIPTION TO SAVE TIME AND UNDERSTAND WHAT THIS INDICATOR DOES
This is a official version of AltSignals Long/Short Reverse Indicator
Description:
This indicator uses various indicators in combination with each other, some of the key ones to mention is Hulls, EMA, MA. Along with that it uses EMA crossovers to get the precise entries and exits.
The recommended time frames with this indictor are shorter ones, for example 5m,10m,15m work well, along with that I have found that some of the more unique time frames also work well such as 20m,45m,2hr and so on.
This indicator is not super advanced but it's still very powerful, with only 130 lines of code.
With AltSignals Swing Indicator it trades one way, that means it gives 3 pieces of information. BUY/TakeProfit/StopLoss.
Unlike most indicators which Buy and Sell both ways this one focuses on one direction of trading so please take into account when using this.
I have added in a reverse strategy which basically shows the opposite values of of the buy, so if you select the box in the settings and un-tick it, then it will show opposite directions so sells only.
This feature is very useful especially in general bear markets when buying is difficult.
I have also added in the option for no stop losses to be used, if you set the stop loss value = 100 then it will show no stop losses.
I suggest a stop loss somewhere in the region of 1-2-3%, please note that you can use decimal stop losses too so for example 0.1 or 0.5.
This indicator is NOT a once size fits all, every chart is different, time frame and candles also, so i would suggest spending some time going through and playing with the channel length settings, which will change the EMA numbers.
Using this along with the back script to find the ideal settings is the best way to use this script, once you have done that make sure to save those values somewhere.
Its important to remember that the Regular script and the back testing script values should be the same for them to match up on the chart, so the channel lengths, stop losses and so on values should be the same.
Side note
This is not financial advice.
We will continue making updates as time goes on.
If you would like to try this script for free please visit our website or message us on Tradingview live chat.
MKAST V2 (monthly)PLEASE READ THE ENTIRE POST BEFORE PURCHASING & USING THE MKAST Algorithm. Saves you and me some time in emails and messages. :)
This is the NEW MONTHLY ACCESS Version of the MKAST
The MKAST Buy Sell Algorithm is a very specific strategy, cut down to its roots and made perfect for the volatile crypto market.
Many Algorithms focus only on one aspect, one side, one specific rule.
As you know, this is not how life, the market or anything else works.
MKAST combines many different aspects at the same time, scans multiple other Algorithms and comes to a conclusion based on over 1350 lines of code.
It is based on Divergences, Elliott Waves , Ichimoku , MACD , MACD Histogram, RSI , Stoch , CCI , Momentum, OBV, DIOSC, VWMACD, CMF and multiple EMAs.
Every single aspect is weighted into the decision before giving out an indication.
Most buy/sell Algorithms FAIL because they try to apply the same strategy to every single chart, which
are as individual as humans.
To conquer this problem, MKAST has a wide range of settings and variables which can be easily
modified.
To make it a true strategy, MKAST has as well settings for Take Profit Points, Multiple Entries and Stop
Losses. Everything with an Alert Feature of course.
I know from experience that many people take one Algorithm and are simply too LAZY to add multiple Algorithms to make a rational choice.
The result of that is that they lose money, by following blatantly only one Algorithm.
MKAST has additional 9 Indicators, perfect for the crypto market, which can be turned on and off.
Manual
MKAST Signals Settings
“Show Signals?” - On/Off to show the Buy/Sell Signals.
“Aggressiveness” - Increase to make the signals less aggressive and decrease to make them more aggressive.
“Show Custom Signals?” - On/Off to show custom MKAST Signals as chosen in the settings below.
“Custom Buy/Sell Aggressiveness” - Choose a custom Aggressiveness for each buy and sell signal individually.
“TJ-Index Requirement For Buy/Sell” - If the TJ-Index is below the given number, it will show the signal in grey, this also applies for normal signals. Buy 0 and Sell 15 shows all signals in their original colour again.
“Don’t show signals that don’t meet index requirement?” - Checked, it will completely not show signals which would be “grey” as in the explanation above.
“Change Backgroundcolour if index is at 15 or 0?” - Checked, changes the colour of the chart if the index is at 15 or 0 points
MKAST Panel Settings
“Show Info Panel?” - Shows Info Panel on the chart.
“Move Info Panel UP by %” - Moves Info Panel up/down.
“Move Info Panel Left/Right ” - Moves Info Panel Left/Right.
“Show BitMEX Panel?” - Shows BitMEX Panel on the chart.
“Move BitMEX Panel by % ” - Moves BitMEX Panel up/down.
“Move BitMEX Panel Left/Right” - Moves BitMEX Panel Left/Right. “Signal Source” - Choose source of candle open/close for Equity calculation.
“Leverage Used?” - Select the used Leverage for your strategy and Equity calculation.
“Fees Per Trade in % ” - Deducts these fees after each trade from Equity calculation.
“Round Current Profit Price?” - Rounds the number on the Panel. “Trading Periods ” - Choose a trading Period which will be used to calculate Period Equity.
“Show separations of each Trading Period?” - Show separations on the chart of each Trading Period.
The very new feature on Tradingview and obviously now as well on MKAST are Information Panels.
I have chosen to add an Info Panel and a BitMEX Price Panel into MKAST, to make live and even
backtesting easier.
With only one blink of an eye the user is able to see ALL relevant information, without having to go
through various ways of checking and using other tools.
The Info Panel:
The first row shows the current profit. This is calculated since the signal initiation and the current candle close. Followed by a single number, which represents the current TJ-Index, removing the need of having to add the actual TJ-Index Oscillator on the chart.
The second row shows the current position and its status. This was added on request of many users wanting to know if their position is “about to change” or not. The status shows the users if the position is “endangered” or “okay”.
Followed by the “backtesting tool” already included inside the Panel. No need for complex oscillators with a hard reading for backtesting. With this one and simple panel, you see the Period Equity for the period chosen previously in the settings. This calculates all profits made inside that period and re-sets when the period ends. Right next to it, the Total Equity calculating ALL profits since the beginning of the chart.
Right below, you see the information about the last long and short position which have been open. This helps with the evaluation and documentation of the last trade.
The BitMEX Panel:
A convenient panel which shows all BitMEX contracts and their LIVE prices. The need for opening each chart goes away, the quality and experience of trading increases.
MKAST custom Signals are one of the notorious possibilities for ADVANCED strategies with MKAST.
Users who requested these features and use them frequently are the ones, having already a very unique trading strategy and they use these very custom signals as confluence or for multiple entry trades.
These custom signals and their settings can be mostly ignored by the majority of traders who are using this Algorithm.
The idea behind the grey signals has its roots in the idea of the TJ-Index. The TJ-Index being 15 Algorithms and conditions possible showing a bullish or bearish interpretation. The index counts the Algorithms which are showing a bullish interpretation.
Like that we can make sure that signals are shown in the original colour, are only those who have an additional confluence with the TJ-Index, not letting the user buy, if at least the majority is not bullish , and not letting the user sell, if at least the majority is bearish .
The custom buy and sell aggressiveness lets the user customise the MKAST algorithm even more.
Either the users wants to see how signals are changing on a different (slightly lower or higher) aggressiveness, being able to expect a change on their own settings. OR seeing that some signals of the same sort are a little out of place and is able to move these to a different aggressiveness, increasing the profitability even more.
Needless to say, custom signals are NOT a part of the Info Panel.
MKAST Label & Trendline Settings
“Show Labels?” - On/Off to show Labels above each signal, with the percentage gain or loss, calculated from the last signal to the new signal.
“Show Trendlines?” - On/Off to show automatic Trendlines following Gainzy Lines.
“Lookback Length” - Choose a length that the automatic trendiness use for calculation. Comparable to Aggressiveness.
“Wicks//Bodies” - Change between trendiness connecting from wick to wick or from body to body.
“Black lines// Coloured lines” - Change between simply black lines or changing colour lines.
“Filter Trendlines?” - On/Off to show all trendiness or just resistance decreasing and support increasing ones.
“Limit Extensions Of The Lines?” - This value increases by how much the trendiness are being extended. 0 = endless extension, otherwise 100 = maximum custom extension.MKAST Strategy “Take Profit 1” - On/Off to show TP1 points.
“Take Profit After %” - Set the percentage after which TP1 is active.
“Take Profit 2 ” - On/Off to show TP2 points.
“Take Profit 2 After %” - Set the percentage after which TP1 is
active.
“Take Profit 3” - On/Off to show TP3 points.
“Take Profit 3 After %” - Set the percentage after which TP1 is active.
“Second Entry” - On/Off to show Second Entry points.
“Second Entry After %” - Set the percentage after which Second Entry is active.
“Third Entry” - On/Off to show Third Entry points.
“Third Entry After %” - Set the percentage after which Third Entry is active.
“Stop Loss” - On/Off to show Stop Loss points.
“Stop Loss After %” - Set the percentage after which Stop Loss is active.
MKAST Strategy
To make the life of the MKAST user even easier, I have added all adjustable Take Profit Points, Multiple entry points and Stop Loss points.
I have never seen a sustainable and reliable trading strategy without TPs, Multiple entry and especially without a stop loss. Everything in the usual and fully customisable MKAST style.
Simply choose how many Take Profit points you would like to have and choose the percentage after which you would like to see the Take Profit point appear on the chart and notify you to take profits.
Are you a Trader who likes Multiple Entries? Also no problem with MKAST. Select how many additional entries you would like to have and after how many percent you would like them to appear on the chart and remind you of adding to the position.
What would a Strategy be without a Stop Loss? Same settings apply here as on the TPs and MEs .
All of the settings are able to take fractions of a number as well. This enables users to even use all of the strategy settings for scalping or FX pairs, where high leverage and the smallest of moves are used for trading.
Needless to say, all of these settings work on RENKO and Heikin Ashi as well. These might need adjustment, since the calculation is different, yet there is nothing standing in the way of it anymore.
Crypto Modified Indicators
“Show Divergences?” - On/Off to show Divergences on the Chart based on the data of 10 different Algorithms.
“Show Oversold/bought?” - On/Off to change the colour of the chart in Oversold/bought conditions.
“Oversold/bought value?” - Choose a value for which the chart is Oversold/bought.
“Show Fibonacci Levels?” - On/Off to show automatic Fibonacci Levels.
“Fibonacci Lookback Lenght” - This value states how many candles from right now are taken into account to paint the Fibonacci Levels.
“Fibonacci Custom Period” - Choose a custom Timeframe that should be used to paint the Fibonacci Levels.
“2nd-7th Fibonacci Level” - Enter a value for the Fibonacci Levels you would like to use and see on the chart.
“Plot 1.618 Level?” - On/Off for the Fibonacci extension level.
Crypto Modified Indicators
“Show Bands?” - On/Off to show the TJ-Bands on the chart.
“Bands Length” - Choose a value for the TJ-Bands Lenght
“Show Show EMA 1-3?” - On/Off to show the EMAs 1-3 on the chart.
“EMA Lenght 1-3” - Choose a value for the first to third EMA Lenght
“Show Ichimoku? ” - On/Off to show Ichimoku on the chart.
“Show Tenkin?” - On/Off to show Tenkin on the chart. “Tenkin” - Set the lenght of the Tenkin.
“Show Kijun?” - On/Off to show Kijun on the chart.
“Kijun” - Set the lenght of the Kijun.
“Show Senkou?” - On/Off to show the Senkou on the chart. “Senkou” - Set the lenght of the Senkou.
“Displacement” - Set the value of the Displacement.
“Show Chikou Span?” - On/Off to show the Chikou Span on the chart.
Crypto Custom Indicators
In the picture above, you see the first pair of Crypto Custom Indicators. The oversold and overbought conditions are highlighted.
Bullish and Bearish divergences are also plotted on the chart.
This is personally my favourite combination of Indicators and MKAST settings. It shows nicely
everything one needs to know and makes it easier to decide wether to follow a signal or not.
We here as well a perfect example of the Automatic Fibonacci Lines (Lookback 50, Timeframe 1D).
It shows all significant levels, which we can see being respected.
Orange = 23.6%, Green = 38.2%, Red = 50%, Yellow = 61.8%, Blue = 78.6%, White = 0%;100%
In this picture above, we observe the perfect ensemble of MKAST and an EMA strategy, especially modified for crypto markets.
Here, as by default, we have the EMAs at 21, 90 and 200. These have shown to be very significant moving support and resistance points in the crypto market.
In this picture above, I lowered the timeframe to show the highly significant levels of the Ichimoku . It has not the “usual values”. These here have been modified for the volatile crypto market and set as default.
An incredibly powerful tool for anyone who is ready to step up their trading game. It is a huge part of the MKAST back end and the strategy behind it.
MKAST Custom Alerts
1
MKAST without any doubt has Custom Alerts for all Signals that it is painting on the chart.
One can even choose to receive custom notifications for Take Profit points, Multiple Entry points and
the Stop Loss points.
The signals appear on the chart DURING the candle, not at the end of the candle. Therefore, the
alerts do this as well. These appear during the candle.
Here we can see all of the possible Alerts that can be chosen to be displayed. In total it is 14 different custom alerts, based on what the trader is looking for and how he is trading.
Personally, I have 10-15 coins that I trade the most and for these I have custom notifications, mostly though only the MKAST Buy/Sell and Stop Loss Signals.
To activate Alerts for MKAST,
1) Go to the “ALERT” icon on the top tool bar of your Tradingview.
2) Select “CONDITION” as “—MKAST—“
3) Then choose ONE condition from the list of conditions.
4) On “OPTIONS” you can set how many times it appears, I have “Once per Bar”.
4.1) If you want to make sure that the signal is truly there and not just a condition for a second during the candle, choose “ONCE PER BAR CLOSE”.
5) “Expiration Time” sets the time until the alert expires. PRO users have no expiration for alerts.
6) “Alert Actions” give you a row of choices what happens and how you want to be notified.
7) “Message” is the message that you receive inside the notification.
Thank you, Kong
MKAST V2 (lifetime)PLEASE READ THE ENTIRE POST BEFORE PURCHASING & USING THE MKAST Algorithm. Saves you and me some time in emails and messages. :)
This is the NEW LIFETIME ACCESS Version of the MKAST
The MKAST Buy Sell Algorithm is a very specific strategy, cut down to its roots and made perfect for the volatile crypto market.
Many Algorithms focus only on one aspect, one side, one specific rule.
As you know, this is not how life, the market or anything else works.
MKAST combines many different aspects at the same time, scans multiple other Algorithms and comes to a conclusion based on over 1350 lines of code.
It is based on Divergences, Elliott Waves, Ichimoku, MACD, MACD Histogram, RSI, Stoch, CCI, Momentum, OBV, DIOSC, VWMACD, CMF and multiple EMAs.
Every single aspect is weighted into the decision before giving out an indication.
Most buy/sell Algorithms FAIL because they try to apply the same strategy to every single chart, which
are as individual as humans.
To conquer this problem, MKAST has a wide range of settings and variables which can be easily
modified.
To make it a true strategy, MKAST has as well settings for Take Profit Points, Multiple Entries and Stop
Losses. Everything with an Alert Feature of course.
I know from experience that many people take one Algorithm and are simply too LAZY to add multiple Algorithms to make a rational choice.
The result of that is that they lose money, by following blatantly only one Algorithm.
MKAST has additional 9 Indicators, perfect for the crypto market, which can be turned on and off.
Manual
MKAST Signals Settings
“Show Signals?” - On/Off to show the Buy/Sell Signals.
“Aggressiveness” - Increase to make the signals less aggressive and decrease to make them more aggressive.
“Show Custom Signals?” - On/Off to show custom MKAST Signals as chosen in the settings below.
“Custom Buy/Sell Aggressiveness” - Choose a custom Aggressiveness for each buy and sell signal individually.
“TJ-Index Requirement For Buy/Sell” - If the TJ-Index is below the given number, it will show the signal in grey, this also applies for normal signals. Buy 0 and Sell 15 shows all signals in their original colour again.
“Don’t show signals that don’t meet index requirement?” - Checked, it will completely not show signals which would be “grey” as in the explanation above.
“Change Backgroundcolour if index is at 15 or 0?” - Checked, changes the colour of the chart if the index is at 15 or 0 points
MKAST Panel Settings
“Show Info Panel?” - Shows Info Panel on the chart.
“Move Info Panel UP by %” - Moves Info Panel up/down.
“Move Info Panel Left/Right ” - Moves Info Panel Left/Right.
“Show BitMEX Panel?” - Shows BitMEX Panel on the chart.
“Move BitMEX Panel by % ” - Moves BitMEX Panel up/down.
“Move BitMEX Panel Left/Right” - Moves BitMEX Panel Left/Right. “Signal Source” - Choose source of candle open/close for Equity calculation.
“Leverage Used?” - Select the used Leverage for your strategy and Equity calculation.
“Fees Per Trade in % ” - Deducts these fees after each trade from Equity calculation.
“Round Current Profit Price?” - Rounds the number on the Panel. “Trading Periods ” - Choose a trading Period which will be used to calculate Period Equity.
“Show separations of each Trading Period?” - Show separations on the chart of each Trading Period.
The very new feature on Tradingview and obviously now as well on MKAST are Information Panels.
I have chosen to add an Info Panel and a BitMEX Price Panel into MKAST, to make live and even
backtesting easier.
With only one blink of an eye the user is able to see ALL relevant information, without having to go
through various ways of checking and using other tools.
The Info Panel:
The first row shows the current profit. This is calculated since the signal initiation and the current candle close. Followed by a single number, which represents the current TJ-Index, removing the need of having to add the actual TJ-Index Oscillator on the chart.
The second row shows the current position and its status. This was added on request of many users wanting to know if their position is “about to change” or not. The status shows the users if the position is “endangered” or “okay”.
Followed by the “backtesting tool” already included inside the Panel. No need for complex oscillators with a hard reading for backtesting. With this one and simple panel, you see the Period Equity for the period chosen previously in the settings. This calculates all profits made inside that period and re-sets when the period ends. Right next to it, the Total Equity calculating ALL profits since the beginning of the chart.
Right below, you see the information about the last long and short position which have been open. This helps with the evaluation and documentation of the last trade.
The BitMEX Panel:
A convenient panel which shows all BitMEX contracts and their LIVE prices. The need for opening each chart goes away, the quality and experience of trading increases.
MKAST custom Signals are one of the notorious possibilities for ADVANCED strategies with MKAST.
Users who requested these features and use them frequently are the ones, having already a very unique trading strategy and they use these very custom signals as confluence or for multiple entry trades.
These custom signals and their settings can be mostly ignored by the majority of traders who are using this Algorithm.
The idea behind the grey signals has its roots in the idea of the TJ-Index. The TJ-Index being 15 Algorithms and conditions possible showing a bullish or bearish interpretation. The index counts the Algorithms which are showing a bullish interpretation.
Like that we can make sure that signals are shown in the original colour, are only those who have an additional confluence with the TJ-Index, not letting the user buy, if at least the majority is not bullish, and not letting the user sell, if at least the majority is bearish.
The custom buy and sell aggressiveness lets the user customise the MKAST algorithm even more.
Either the users wants to see how signals are changing on a different (slightly lower or higher) aggressiveness, being able to expect a change on their own settings. OR seeing that some signals of the same sort are a little out of place and is able to move these to a different aggressiveness, increasing the profitability even more.
Needless to say, custom signals are NOT a part of the Info Panel.
MKAST Label & Trendline Settings
“Show Labels?” - On/Off to show Labels above each signal, with the percentage gain or loss, calculated from the last signal to the new signal.
“Show Trendlines?” - On/Off to show automatic Trendlines following Gainzy Lines.
“Lookback Length” - Choose a length that the automatic trendiness use for calculation. Comparable to Aggressiveness.
“Wicks//Bodies” - Change between trendiness connecting from wick to wick or from body to body.
“Black lines// Coloured lines” - Change between simply black lines or changing colour lines.
“Filter Trendlines?” - On/Off to show all trendiness or just resistance decreasing and support increasing ones.
“Limit Extensions Of The Lines?” - This value increases by how much the trendiness are being extended. 0 = endless extension, otherwise 100 = maximum custom extension.MKAST Strategy “Take Profit 1” - On/Off to show TP1 points.
“Take Profit After %” - Set the percentage after which TP1 is active.
“Take Profit 2 ” - On/Off to show TP2 points.
“Take Profit 2 After %” - Set the percentage after which TP1 is
active.
“Take Profit 3” - On/Off to show TP3 points.
“Take Profit 3 After %” - Set the percentage after which TP1 is active.
“Second Entry” - On/Off to show Second Entry points.
“Second Entry After %” - Set the percentage after which Second Entry is active.
“Third Entry” - On/Off to show Third Entry points.
“Third Entry After %” - Set the percentage after which Third Entry is active.
“Stop Loss” - On/Off to show Stop Loss points.
“Stop Loss After %” - Set the percentage after which Stop Loss is active.
MKAST Strategy
To make the life of the MKAST user even easier, I have added all adjustable Take Profit Points, Multiple entry points and Stop Loss points.
I have never seen a sustainable and reliable trading strategy without TPs, Multiple entry and especially without a stop loss. Everything in the usual and fully customisable MKAST style.
Simply choose how many Take Profit points you would like to have and choose the percentage after which you would like to see the Take Profit point appear on the chart and notify you to take profits.
Are you a Trader who likes Multiple Entries? Also no problem with MKAST. Select how many additional entries you would like to have and after how many percent you would like them to appear on the chart and remind you of adding to the position.
What would a Strategy be without a Stop Loss? Same settings apply here as on the TPs and MEs.
All of the settings are able to take fractions of a number as well. This enables users to even use all of the strategy settings for scalping or FX pairs, where high leverage and the smallest of moves are used for trading.
Needless to say, all of these settings work on RENKO and Heikin Ashi as well. These might need adjustment, since the calculation is different, yet there is nothing standing in the way of it anymore.
Crypto Modified Indicators
“Show Divergences?” - On/Off to show Divergences on the Chart based on the data of 10 different Algorithms.
“Show Oversold/bought?” - On/Off to change the colour of the chart in Oversold/bought conditions.
“Oversold/bought value?” - Choose a value for which the chart is Oversold/bought.
“Show Fibonacci Levels?” - On/Off to show automatic Fibonacci Levels.
“Fibonacci Lookback Lenght” - This value states how many candles from right now are taken into account to paint the Fibonacci Levels.
“Fibonacci Custom Period” - Choose a custom Timeframe that should be used to paint the Fibonacci Levels.
“2nd-7th Fibonacci Level” - Enter a value for the Fibonacci Levels you would like to use and see on the chart.
“Plot 1.618 Level?” - On/Off for the Fibonacci extension level.
Crypto Modified Indicators
“Show Bands?” - On/Off to show the TJ-Bands on the chart.
“Bands Length” - Choose a value for the TJ-Bands Lenght
“Show Show EMA 1-3?” - On/Off to show the EMAs 1-3 on the chart.
“EMA Lenght 1-3” - Choose a value for the first to third EMA Lenght
“Show Ichimoku? ” - On/Off to show Ichimoku on the chart.
“Show Tenkin?” - On/Off to show Tenkin on the chart. “Tenkin” - Set the lenght of the Tenkin.
“Show Kijun?” - On/Off to show Kijun on the chart.
“Kijun” - Set the lenght of the Kijun.
“Show Senkou?” - On/Off to show the Senkou on the chart. “Senkou” - Set the lenght of the Senkou.
“Displacement” - Set the value of the Displacement.
“Show Chikou Span?” - On/Off to show the Chikou Span on the chart.
Crypto Custom Indicators
In the picture above, you see the first pair of Crypto Custom Indicators. The oversold and overbought conditions are highlighted.
Bullish and Bearish divergences are also plotted on the chart.
This is personally my favourite combination of Indicators and MKAST settings. It shows nicely
everything one needs to know and makes it easier to decide wether to follow a signal or not.
We here as well a perfect example of the Automatic Fibonacci Lines (Lookback 50, Timeframe 1D).
It shows all significant levels, which we can see being respected.
Orange = 23.6%, Green = 38.2%, Red = 50%, Yellow = 61.8%, Blue = 78.6%, White = 0%;100%
In this picture above, we observe the perfect ensemble of MKAST and an EMA strategy, especially modified for crypto markets.
Here, as by default, we have the EMAs at 21, 90 and 200. These have shown to be very significant moving support and resistance points in the crypto market.
In this picture above, I lowered the timeframe to show the highly significant levels of the Ichimoku. It has not the “usual values”. These here have been modified for the volatile crypto market and set as default.
An incredibly powerful tool for anyone who is ready to step up their trading game. It is a huge part of the MKAST back end and the strategy behind it.
MKAST Custom Alerts
1
MKAST without any doubt has Custom Alerts for all Signals that it is painting on the chart.
One can even choose to receive custom notifications for Take Profit points, Multiple Entry points and
the Stop Loss points.
The signals appear on the chart DURING the candle, not at the end of the candle. Therefore, the
alerts do this as well. These appear during the candle.
Here we can see all of the possible Alerts that can be chosen to be displayed. In total it is 14 different custom alerts, based on what the trader is looking for and how he is trading.
Personally, I have 10-15 coins that I trade the most and for these I have custom notifications, mostly though only the MKAST Buy/Sell and Stop Loss Signals.
To activate Alerts for MKAST,
1) Go to the “ALERT” icon on the top tool bar of your Tradingview.
2) Select “CONDITION” as “—MKAST—“
3) Then choose ONE condition from the list of conditions.
4) On “OPTIONS” you can set how many times it appears, I have “Once per Bar”.
4.1) If you want to make sure that the signal is truly there and not just a condition for a second during the candle, choose “ONCE PER BAR CLOSE”.
5) “Expiration Time” sets the time until the alert expires. PRO users have no expiration for alerts.
6) “Alert Actions” give you a row of choices what happens and how you want to be notified.
7) “Message” is the message that you receive inside the notification.
Thank you, Kong
Full Range Trading Strategy with DCA - Crypto, Forex, Stocks
Introduction
This is a Pine 4 range trading strategy. It has a twin study with several alerts. The design intent is to produce a commercial grade signal generator that can be adapted to any symbol and interval. Ideally, the script is reliable enough to be the basis of an automated trading system web-hooked to a server with API access to crypto, forex and stock brokerages. The strategy can be run in three different modes: long, short and bidirectional.
As a range trading strategy, the behavior of the script is to buy on weakness and sell on strength. As such trade orders are placed in a counter direction to price pressure. What you will see on the chart is a short position on peaks and a long position on valleys. Just to be clear, the range as well as trends are merely illusions as the chart only receives prices. However, this script attempts to calculate pivot points from the price stream. Rising pivots are shorts and falling pivots are longs. I refer to pivots as a vertex in this script which adds structural components to the chart formation. When trading in “Ping Pong” mode long and short positions are intermingled continuously as long as there exists a detectable vertex. Unfortunately, this can work against your backtest profitability on long duration trends where prices continue in a single direction without pullback. I have designed various features in the script to compensate for this event. A well configured script should perform in a range bound market and minimize losses in a trend. I also have a trend following version of this script for those not interested in trading the range. Please be aware these are two types of traders. You should know who you are.
This script employs a DCA feature which enables users to experiment with loss recovery techniques. This is an advanced feature which can increase the order size on new trades in response to stopped out or winning streak trades. The script keeps track of debt incurred from losing trades. When the debt is recovered the order size returns to the base amount specified in the TV properties tab. The inputs for this feature include a limiter to prevent your account from depleting capital during runaway markets. This implementation of DCA does not use pyramid levels. Only the order size on subsequent new trades are affected. Pyramids on the other hand increase the size of open positions. If you are interested in seeing pyramids in action please see the trend version of this script which features both DCA and pyramids. While DCA is a popular feature in crypto trading, it can make you a “bag” holder if your not careful. In other markets, especially margin trading, you’ll need a well funded account and much trading experience to manage this feature safely.
Consecutive loss limit can be set to report a breach of the threshold value. Every stop hit beyond this limit will be reported on a version 4 label above the bar where the stop is hit. Use the location of the labels along with the summary report tally to improve the adaptability of system. Don’t simply fit the chart. A good trading system should adapt to ever changing market conditions. On the study version the consecutive loss limit can be used to halt live trading on the broker side (managed manually).
Design
This script uses twelve indicators on a single time frame. The original trading algorithms are a port from a much larger program on another trading platform. I’ve converted some of the statistical functions to use standard indicators available on TradingView. The setups make heavy use of the Hull Moving Average in conjunction with EMAs that form the Bill Williams Alligator as described in his book “New Trading Dimensions” Chapter 3. Lag between the Hull and the EMAs form the basis of the entry and exit points. The vertices are calculated using one of five featured indicators. Each indicator is actually a composite of calculations which produce a distinct mean. This mathematical distinction enables the script to be useful on various instruments which belong to entirely different markets. In other words, at least one of these indicators should be able generate pivots on an arbitrarily selected instrument. Try each one to find the best fit.
The entire script is around 1800 lines of Pine code which is the maximum incidental size given the TradingView limits: local scopes, run-time duration and compile time. I’ve been working on this script for nearly two years and have tested it on various instruments stocks, forex and crypto. It performs well on higher liquidity markets that have at least a year of historical data. Although the script can be implemented on any interval, it has been optimized for small time frames down to 5 minutes. The 10 minute BTC/USD produces around 500 trades in 2 ½ months. The 1 hour BTC/USD produces around 1300 trades in 1 ½ years. Originally, this script contained both range trading and trend following logic but had to be broken into separate scripts due to the aforementioned limitations.
Inputs to the script use cone centric measurements in effort to avoid exposing adjustments to the various internal indicators. The goal was to keep the inputs relevant to the actual trade entry and exit locations as opposed to a series of MA input values and the like. As a result the strategy exposes over 50 inputs grouped into long or short sections. Inputs are available for the usual minimum profit and stop-loss as well as safeguards, trade frequency, DCA, modes, presets, reports and lots of calibrations. The inputs are numerous, I’m aware. Unfortunately, at this time, TradingView does not offer any other method to get data in the script. The usual initialization files such as cnf, cfg, ini, json and xml files are currently unsupported.
Example configurations for various instruments along with a detailed PDF user manual is available.
Indicator Repainting And Anomalies
Indicator repainting is an industry wide problem which mainly occurs when you mix backtest data with real-time data. It doesn't matter which platform you use some form of this condition will manifest itself on your chart over time. The critical aspect being whether live trades on your broker’s account continue to match your TradingView study.
Tackling this repainting issue has been a major project goal of this script. Based on my experience with Pine, most of the problems stem from TradingView’s implementation of multiple interval access. Whereas most platform provide a separate bar series for each interval requested, the Pine language interleaves higher time frames with the primary chart interval. The problem is exacerbated by allowing a look-ahead parameter to the Security function. The goal of my repaint prevention is simply to ensure that my signal trading bias remains consistent between the strategy, study and broker. That being said this is what I’ve done address this issue in this script:
1. This script uses only 1 time frame. The chart interval.
2. Every entry and exit condition is evaluated on closed bars only.
3. No security functions are called to avoid a look-ahead possibility.
4. Every contributing factor specified in the TradingView wiki regarding this issue has been addressed.
5. I’ve run a 10 minute chart live for a week and compared it to the same chart periodically reloaded. The two charts were highly correlated with no instances of completely opposite real-time signals.
The study does indeed bring up the TV warning dialog. The only reason for this is because the script uses an EMA indicator which according to TradingView is due to “peculiarities of the algorithm”.
One issue that comes up when comparing the strategy with the study is that the strategy trades show on the chart one bar later than the study. This problem is due to the fact that “strategy.entry()” and “strategy_exit()” do not execute on the same bar called. The study, on the other hand, has no such limitation since there are no position routines.
Please be aware that the data source matters. Cryptocurrency has no central tick repository so each exchange supplies TradingView its feed. Even though it is the same symbol the quality of the data and subsequently the bars that are supplied to the chart varies with the exchange. This script will absolutely produce different results on different data feeds of the same symbol. Be sure to backtest this script on the same data you intend to receive alerts for. Any example settings I share with you will always have the exchange name used to generate the test results.
Usage
The following steps provide a very brief set of instructions that will get you started but will most certainly not produce the best backtest. A trading system that you are willing to risk your hard earned capital will require a well crafted configuration that involves time, expertise and clearly defined goals. As previously mentioned, I have several example configs that I use for my own trading that I can share with you along with a PDF which describes each input in detail. To get hands on experience in setting up your own symbol from scratch please follow the steps below.
The input dialog box contains over 50 inputs separated into five sections. Each section is identified as such with a makeshift separator input. There are three main areas that must to be configured: long side, short side and settings that apply to both. The rest of the inputs apply to DCA, reporting and calibrations. The following steps address these three main areas only. You will need to get your backtest in the black before moving on to the more advanced features.
Step 1. Setup the Base currency and order size in the properties tab.
Step 2. Select the calculation presets in the Instrument Type field.
Step 3. Select “No Trade” in the Trading Mode field.
Step 4. Select the Histogram indicator from Section 2. You will be experimenting with different ones so it doesn’t matter which one you try first.
Step 5. Turn on Show Markers in Section 2.
Step 6. Go to the chart and checkout where the markers show up. Blue is up and red is down. Long trades show up along the red markers and short trades on the blue.
Step 7. Make adjustments to “Base To Vertex” and “Vertex To Base” net change and roc in Section 3. Use these fields to move the markers to where you want trades to be.
Step 8. Try a different indicator from Section 2 and repeat Step 7 until you find the best match for this instrument on this interval. This step is complete when the Vertex settings and indicator combination produce the most favorable results.
Step 9. Go to Section 3 and enable “Apply Red Base To Base Margin”.
Step 10. Go to Section 4 and enable “Apply Blue Base To Base Margin”.
Step 11. Go to Section 2 and adjust “Minimum Base To Base Blue” and “Minimum Base To Base Red”. Observe the chart and note where the markers move relative to each other. Markers further apart will produce less trades but will reduce cutoffs in “Ping Pong” mode.
Step 12. Return to Section 3 and 4 and turn off “Base To Base Margin” which was enabled in steps 9 and 10.
Step 13. Turn off Show Markers in Section 2.
Step 14. Put in your Minimum Profit and Stop Loss in the first section. This is in pips or currency basis points (chart right side scale). Percentage is not currently supported. This is a fixed value minimum profit and stop loss. Also note that the profit is taken as a conditional exit on a market order not a fixed limit. The actual profit taken will almost always be greater than the amount specified. The stop loss, on the other hand, is indeed a hard number which is executed by the TradingView broker simulator when the threshold is breached. On the study version, the stop is executed at the close of the bar.
Step 15. Return to step 3 and select a Trading Mode (Long, Short, BiDir, Ping Pong). If you are planning to trade bidirectionally its best to configure long first then short. Combine them with “BiDir” or “Ping Pong” after setting up both sides of the trade individually. The difference between “BiDir” and “Ping Pong” is that “Ping Pong” uses position reversal and can cut off opposing trades less than the specified minimum profit. As a result “Ping Pong” mode produces the greatest number of trades.
Step 16. Take a look at the chart. Trades should be showing along the markers plotted earlier.
Step 17. Make adjustments to the Vertex fields in Section 2 until the TradingView performance report is showing a profit. This includes the “Minimum Base To Base” fields. If a profit cannot be achieved move on to Step 18.
Step 18. Improve the backtest profitability by adjusting the “Long Entry Net Change” and “Long Entry ROC” in Section 3.
Step 19. Improve the backtest profitability by adjusting the “Short Entry Net Change” and “Short Entry ROC” in Section 4.
Step 20. Improve the backtest profitability by adjusting the “Sparse Long Delta” in Section 3.
Step 21. Improve the backtest profitability by adjusting the “Chase Long Delta” in Section 3.
Step 22. Improve the backtest profitability by adjusting the “Long Adherence Delta” in Section 3. This field requires the “Adhere to Rising Trend” checkbox to be enabled.
Step 23. Try each checkbox in Section 3 and see if it improves the backtest profitability. The “Caution Lackluster Longs” checkbox only works when “Long Caution Mode” is enabled.
Step 24. Improve the backtest profitability by adjusting the “Sparse Short Delta” in Section 4.
Step 25. Improve the backtest profitability by adjusting the “Chase Short Delta” in Section 4.
Step 26. Improve the backtest profitability by adjusting the “Short Adherence Delta” in Section 4. This field requires the “Adhere to Falling Trend” checkbox to be enabled.
Step 27. Try each checkbox in Section 4 and see if it improves the backtest profitability. The “Caution Lackluster Shorts” checkbox only works when “Short Caution Mode” is enabled.
Step 28. Enable the reporting conditions in Section 5. Look for long runs of consecutive losses or high debt sequences. These are indications that your trading system cannot withstand sudden changes in market sentiment.
Step 29. Examine the chart and see that trades are being placed in accordance with your desired trading goals. This is an important step. If your desired model requires multiple trades per day then you should be seeing hundreds of trades on the chart. Alternatively, you may be looking to trade fewer steep peaks and deep valleys in which case you should see trades at major turning points. Don’t simply settle for what the backtest serves you. Work your configuration until the system aligns with your desired model. Try changing indicators and even intervals if you cannot reach your simulation goals. Generally speaking, the histogram and Candle indicators produce the most trades. The Macro indicator captures the tallest peaks and valleys.
Step 30. Apply the backtest settings to the study version and perform forward testing.
This script is open for beta testing. After successful beta test it will become a commercial application available by subscription only. I’ve invested quite a lot of time and effort into making this the best possible signal generator for all of the instruments I intend to trade. I certainly welcome any suggestions for improvements. Thank you all in advance.
JackBot Scalper v6Jackbot Scalper v6 Update
In Version 6, Jackbot has improved performance on higher time frames with close to 85% success rate on 1-hour times frames and 70% success rate on 15-minute time frames.
Who
I am Jack Donaghy, a crypto trader and wealth strategist at an international asset management firm. I have traded billions in assets for clients and have grown a portfolio of personal assets by nearly 2200% within the last 1.5 years from trading. I originally invested in cryptocurrencies in November of 2016 and have been catching waves ever since. This bot is for those interested in scalping methods.
What
Jackbot Pro Scalper is a scalping study for Bitcoin that operates on small timeframes. It has a 60-70% success rate and operates with the goal of maximizing gains while minimizing losses. This bot works well with leveraged strategies as it pursues both long and short positions. While I primarily use the bot on BitMex, I have seen good success on Bitfinex with various USDT pairs including VEN and ETH.
When
With v6, the best results have come from 13, 15, and 17-minute charts with incredible success found on the 1-hour charts.
How
The bot works by 1. Defining its entry point. 2. Defining a take profit 3. Defining a stop loss. The magic of the bot is that it will not close a trade at the take profit, if volume and price are increasing, it will hold the exit until another indicator determines a reversal of the trend. More than that would ruin the logic so you will just have to see for yourself.
To Trade
Large Spikes = Entries (Green = Long, Red = Short)
Small Spikes = Take Profit (Green = Long Exit, Red = Short Exit)
Medium Spikes = Stop Loss (Purple = Long SL, Yellow = Short SL)
Previous Results
Backtested, Jackbot v6 shows that with 1 Bitcoin (unleveraged) you can make about 12K in a 1.5 month period. My personal experience was trading a test amount of Bitcoin on a particularly good run at 25x leverage using 25% of a test portfolio It went from 0.015 Bitcoin to 0.091 within 10 days. See ibb.co (This test was from V5.4 which V6 has improved upon.)
Disclaimer: This strategy is by no means perfect and not every trade will be a winner. It is a tool in your belt, not a perfect 100% trader. Previously, results show with a 25x leveraged position, the losses are ~20% before it will cut off the trade, however, the gains can be 40%+ (As the bot continues to run in certain conditions, it will often pick up major moves and hold them for longer.) It can have bad runs and a slew of poor entries, especially in tight volatile ranges.
PLEASE NOTE: This strategy can struggle with chop following major moves, if you are manually entering, consider other market conditions before entry if the price is in a tight range.
Cost
Jackbot will be offered for 0.1 Bitcoin and will be limited to the first 100 people who apply.
JackBot Scalper V5.4 Who
I am Jack Donaghy, a crypto trader and wealth strategist at an international asset management firm. I have traded billions in assets for clients and have grown a portfolio of personal assets by nearly 2200% within the last 1.5 years from trading. I originally invested in cryptocurrencies in November of 2016 and been catching waves ever since. This bot is for those interested in scalping methods.
What
Jackbot Pro Scalper is scalping study for bitcoin that operates on small timeframes. It has a 60-70% success rate and operates with the goal of maximizing gains while minimizing losses. This bot works well with leveraged strategies as pursues both long and short positions. While I primarily use it on BitMex, I have seen good success on Bitfinex.
When
5-30 minute charts, longer time frames can work but have not been successful enough to warrant publishing. Best results have come from 13 and 17-minute timeframes.
How
The bot works by 1. Defining its entry point. 2. Defining a take profit 3. Defining a stop loss. The magic of the bot is that it will not close a trade at the take profit, if volume and price are increasing, it will hold the exit until another indicator determines a reversal of the trend. More than that would ruin the logic so you will just have to see for yourself.
To Trade
Large Spikes = Entries (Green = Long, Red = Short)
Small Spikes = Take Profit (Green = Long Exit, Red = Short Exit)
Medium Spikes = Stop Loss (Purple = Long SL, Yellow = Short SL)
Previous Results
Backtested, this bot shows that with 1 Bitcoin (unleveraged) you can make about 10K in a 1.5 month period. My personal experience was trading a test amount of bitcoin on a particularly good run at 25x leverage using 25% of a test portfolio It went from 0.015 bitcoin to 0.091 within 10 days. See ibb.co
Disclaimer: This strategy is by no means perfect and not every trade will be a winner. Previously results show with a 25x leveraged position, the losses are ~20% before it will cut off the trade, however, the gains can be 40%+ (As the bot continues to run in certain conditions, it will often pick up major moves and hold them for longer.) It can have bad runs and a slew of poor entries, especially in tight volatile ranges.
PLEASE NOTE: This strategy can struggle with chop following major moves, if you are manually entering, consider other market conditions before entry if the price is in a tight range.
LevelUp^ Power Earnings Gap Screener ProCustomizable Pine Screener to scan for stocks with a Power Earnings Gap as well as accelerating earnings and sales. Historical analysis shows that strong earnings often trigger institutional buying, pushing prices higher and increasing the likelihood of sustained price gains.
🔹 Power Earnings Gap (PEG)
A power earnings gap refers to a significant price gap up after an earnings report, reflecting a rapid shift in investor sentiment and perceived value. It’s called "power" because the move is often sharp, sustained, and accompanied by high trading volume, signaling a potential trend continuation or reversal.
A gap is the difference between the closing price of a stock on the day before an earnings report and the opening price the next trading day. A power earnings gap typically exceeds a certain threshold (e.g., 8-10% or more) and is driven by earnings surprises, guidance changes, or other significant news.
Strong earnings beats, misses, or forward-looking guidance can trigger these gaps. For example, a company reporting higher-than-expected profits or raising guidance might gap up, while a miss or weak outlook could cause a gap down.
The gap is often accompanied by above-average trading volume, confirming the move's strength. Power gaps often lead to sustained price movement in the direction of the gap (continuation) or signal a reversal if the gap fills quickly.
How Power Earnings Gap Be Helpful
▪ Power earnings gaps often indicate strong momentum. Traders can capitalize on this by entering trades in the direction of the gap (e.g., buying on a gap-up if the trend continues).
Example: If a stock gaps up 10% after a stellar earnings report and shows high volume, traders might buy, expecting further upside as momentum builds.
▪ Breakout Opportunities: A gap through key technical levels (e.g., resistance or support) can signal a breakout. Traders use these gaps to identify potential long-term trends.
Example: A stock breaking above a resistance level on a power earnings gap may continue to rally, offering a setup for swing or position traders.
▪ Volatility for Short-Term Trades: Earnings gaps create heightened volatility, ideal for day traders or scalpers. The large price swings allow for quick profits if timed correctly.
Example: A trader might use options (e.g., calls for a gap-up, puts for a gap-down) to leverage the volatility around earnings.
▪ Confirmation of Fundamental Strength/Weakness: A power earning gap often reflects a fundamental shift, e.g., strong earnings growth or a major business development. Traders can use this to align technical setups with fundamental catalysts.
Example: A gap-up after a company raises its full-year guidance might signal a long-term buying opportunity.
▪ Risk Management and Stop Losses: Gaps provide clear levels for setting stop-loss orders. For instance, traders might place stops at or below the gap up bar low to protect against a potential reversal.
Example: If a stock gaps up from $100 to $110 and intraday hits a low of $105, a trader might set a stop at $105 or lower to limit downside risk.
▪ Gap Fill Strategies:Some traders bet on gaps filling, i.e., the stock returning to its pre-gap price. If a power earnings gap seems overextended (e.g., due to market overreaction), contrarian traders might short a gap-up or buy a gap-down, anticipating a pullback.
Example: A stock gaps up 15% but lacks volume or follow-through; a trader might short it, expecting the price to retreat.
🔹 Earnings and Sales Acceleration
Earnings and sales acceleration refers to the rate of growth in a company's earnings over consecutive quarters. It highlights companies that are not only growing but doing so at an accelerating pace, signaling improving financial health and operational momentum. This metric is derived from earnings reports, which detail a company’s financial performance.
Key Concepts
▪ Earnings Acceleration: When a company’s earnings per share (EPS) growth rate increases over time (e.g., EPS growth of 10% in Q1, 15% in Q2, 20% in Q3). It indicates improving profitability, often due to cost efficiencies, margin expansion and strong demand.
▪ Sales Acceleration: When revenue growth rates increase over time (e.g., revenue growth of 5% in Q1, 8% in Q2, 12% in Q3). This reflects rising demand for products/services and operational efficiency.
▪ Relation to Earnings Reports: Acceleration is calculated by comparing sequential quarter-over-year growth rates in earnings and sales, often highlighted in earnings reports or analyst commentary. It’s a sign of fundamental strength when both metrics accelerate together.
How It’s Helpful to Traders
▪ Identify High-Potential Stocks: Stocks with accelerating earnings and sales often attract investor attention, as they signal a company is outperforming expectations and gaining market share. This can lead to sustained price appreciation.
Example: A tech company reporting 20% EPS growth and 15% sales growth quarter-over-quarter may see bullish price action as investors bet on continued momentum.
▪ Momentum Trading Opportunities: Acceleration often fuels stock price momentum, especially post-earnings. Traders can ride these trends using technical setups like breakouts or pullbacks.
Example: A stock breaking above a key resistance level after reporting accelerating growth may be a buy signal for swing traders.
▪ Early Indicator of Breakouts: Companies with accelerating fundamentals are more likely to experience price breakouts, as institutional investors (e.g., hedge funds, mutual funds) pile in. Traders can use this to position early.
Example: A retailer with accelerating sales due to strong holiday demand might gap up post-earnings, offering a breakout trade.
▪ Confirmation of Fundamental Strength: Acceleration validates a company’s growth story, reducing the risk of investing in stocks with inconsistent performance. Traders can align technical trades with strong fundamentals.
Example: A biotech with accelerating sales from a new drug launch may sustain a rally, giving traders confidence in long positions.
▪ Volatility for Short-Term Trades: Earnings reports showing acceleration often lead to significant price gaps or volatility, creating opportunities for day traders or options traders.
Example: A trader might buy call options on a stock expected to report accelerating earnings, anticipating a sharp post-earnings move.
🔹 Power Earnings Gaps - Examples
🔹 Screening Features - Setting Your Search Criteria
Power Earnings Gap
▪ Search Range
How many bars back to search for Power Earnings Gaps, anywhere between 1 and 90 bars.
▪ Last Bar Only
Look only at the last bar for Power Earnings Gaps. This is useful when looking for PEGs when screening at the end of a trading day. Choosing this option, the Search Range will be ignored.
▪ Minimum Price % Gap Up From Prior Close
This is the minimum gap up percent change to be considered a Power Earnings Gap.
▪ Minimum Volume % Change Over Average
This is the minimum volume percent change, over the 50-day average volume, to be considered a Power Earnings Gap.
▪ Require Positive Surprise
Require a positive earnings surprise and the minimum percent change.
▪ Require Closing Range
To ensure the price action closed strong on the day, specify a preferred closing range as a percentage of the bar's daily range.
▪ Gap Up Bar
The gap up bar can be configured to require one of the following:
- Open Above Prior High - Ensures there is visible gap up from the prior bar.
- Low Above Prior High - Allows for intraday price action to go below the prior bar high.
- No Requirement
Earnings And Sales Acceleration
▪ Quarters of Acceleration
You can specify between 1 and 4 quarters of earnings and/or sales acceleration.
🔹 Installation And Usage
▪ Mark this indicator as a Favorite.
▪ Use the Pine Screener to search for stocks.
▪ Save the search results to a watchlist.
▪ View the watchlist in TradingView.
🔹 Note
▪ Risk of Reversals: Not all gaps sustain their direction. Over reactions can lead to gap fills.
▪ High Volatility: Earnings gaps can be unpredictable, requiring quick decision-making & discipline.
