SPX-Sectors % PMO Above Zero [bluesky]█ OVERVIEW
The "Subsector-11 % PMO Above Zero" script analyzes market breadth based on the percentage of 11 user-adjustable subsector ETFs of the S&P 500 with a Positive Momentum Oscillator (PMO) value greater than or equal to zero. It provides insights into the strength and breadth of positive momentum signals within specific subsectors, aiding traders in making informed decisions.
█ CONCEPTS
This script utilizes the PMO values of the 11 user-adjustable subsector ETFs of the S&P 500 to assess market breadth. By calculating the percentage of subsector ETFs with a PMO value above zero, it identifies periods of broad positive momentum and potential trading opportunities within those specific sectors.
█ PMO (Positive Momentum Oscillator)
Developed by Carl Swenlin, the PMO is an oscillator based on a Rate of Change (ROC) calculation that is smoothed twice with exponential moving averages using a custom smoothing process. The PMO is normalized, allowing it to be used as a relative strength tool. Traders can rank subsector ETFs based on their PMO values as an expression of relative strength.
█ CALCULATION
The script calculates the percentage of subsector ETFs with a PMO value above zero based on the provided PMO values of the 11 user-adjustable subsector ETFs. It uses custom smoothing functions similar to Exponential Moving Averages (EMAs) to derive the PMO values.
█ HOW TO USE IT
- Timeframe: Optimize the script for different timeframes to analyze market breadth effectively within specific subsectors.
- Subsector Analysis: The script displays the percentage of subsector ETFs within the 11 user-adjustable subsectors of the S&P 500 with a PMO value above zero, indicating the strength of positive momentum signals within those subsectors.
- Trend Identification: Monitor changes in the percentage of subsector ETFs above zero to identify shifts in market breadth and trends.
- Risk Management: Consider the breadth of positive momentum signals within specific subsectors when setting stop-loss levels or evaluating overall market conditions.
█ ADDITIONAL OPTIONS
This script offers additional options to enhance analysis and customization:
- Candle Style: Choose from different candle styles such as Heikin Ashi, Three Line Break, Candles, or Line for chart visualization.
- PMO Settings: Adjust the lengths of the PMO calculation and signal length according to your trading preferences.
- Moving Average Settings: Incorporate the usage of fast and slow exponential moving averages (EMAs) for additional insights into momentum trends.
█ FLEXIBILITY AND ADAPTABILITY
The script allows traders to adjust the subsector ETF names according to their specific requirements. Please review and update the list of subsector ETFs periodically to reflect the desired sectors for analysis and ensure the script's relevance and accuracy.
█ DISCLAIMER
Trading involves risks, and past performance is not indicative of future results. The "Subsector-11 % PMO Above Zero" script is a tool designed to assist traders in analyzing market breadth and positive momentum signals within specific subsectors. It should be used in conjunction with sound risk management practices and a comprehensive trading strategy. Traders are encouraged to perform their due diligence, exercise caution, and adapt the script to their individual trading preferences and requirements.
Please note that this script does not make any claims of guaranteed profitability or provide investment advice. Always consult with a qualified financial professional before making any investment decisions.
Trendfollowing
AlphaTrend - ScreenerScreener version of AlphaTrend indicator:
BUY / LONG when AlphaTrend line crosses above its 2 bars offsetted line, and there would be a green filling between them
SELL / SHORT when AlphaTrend line crosses below its 2 bars offsetted line, and filling would be red then.
Default values:
Coefficient: 1, which is the factor of the trailing ATR value
Common Period: 14, which is the length of ATR MFI and RSI
AlphaTrend default uses MFI in the calculation, and MFI (Money Flow Index) needs the volume data of the chart.
If your chart doesn't have the volume data, please select the "Change Calculation" option to use RSI instead of MFI.
Screener Panel:
You can explore 20 different and user-defined tickers, which can be changed from the SETTINGS (shares, crypto, commodities...) on this screener version.
The screener panel shows up right after the bars on the right side of the chart.
Tickers seen in green are the ones that are in an uptrend, according to AlphaTrend.
The ones that appear in red are those in the SELL signal, in a downtrend.
The numbers in front of each Ticker indicate how many bars passed after the last BUY or SELL signal of AlphaTrend.
For example, according to the indicator, when BTCUSDT appears in (3) and in GREEN, Bitcoin switched to BUY signal 3 bars ago.
TrendFollow-1HThis is a trading strategy specially used on btcusdtperp in binance 1H chart
The most important part of this strategy is to use Support and Resistance with trading volume
Auxiliary indicators are include Directional Movement Index, trading volume, Commodity Channel Index,volume-weighted average price,Range Filter
Why is it not applicable to other trading varieties or exchanges?
Because the activity of each trading target is different from the trading volume, this strategy is very focused on the change of trading volume, so it may not be applicable to every trading variety
The idea of this strategy is to chase when the trend in the market is clear
Determine whether to break support or resistance to identify trends
But the market is full of false breakouts
Therefore, trading volume is an important indicator for judging the true and false.
Therefore, when the price breaks through support or resistance, accompanied by a huge trading volume, and forms a resonance with auxiliary indicators, the strategy will follow the trend, a time stop loss is also set. After entering the market, if there is no immediate profit to the stop profit, you will leave the market first.
But the market is always random, so the profit and loss ratio must be taken into account
Use a fixed stop loss space in exchange for a larger profit space, and ensure that the expected value is positive to make stable profits in the market
Therefore, this strategy uses 3.2% stop loss, 3.3% Take profit1 and 7.2% take profit2
About 1.5:1 profit and loss ratio to ensure positive expected value
Because the market has a clear trend only about 10% of the time
So the trading frequency of this strategy is very low
According to the backtest of up to 2021-01-01 till now , it takes about 5 days to make a transaction
User can choose their own leverage to obtain higher returns. But be sure to prioritize risk.
In order to prevent you from using this strategy without knowing it, the trading date of this strategy is only executed until the release date, and positions will not be opened and closed for subsequent markets.
You can contact me if you want to know more about this strategy
這是專門用於幣安1H圖表中btcusdtperp的交易策略
本策略最重要的部分是將支撐和阻力與交易量一起使用
輔助指標包括ADX,成交量,CCI,VWAP,Range Filter等
為什麼不適用於其他交易品種或交易所？
由於每個交易標的的活躍度與交易量不同，本策略非常注重交易量的變化，因此不一定適用於每個交易品種
這個策略的方法是在趨勢明朗的時候進行趨勢跟隨
確定是否打破支撐或阻力以識別趨勢
但市場充滿假突破
因此，成交量是判斷真假的重要指標。
當價格突破支撐位或阻力位，伴隨著巨大的成交量，並與輔助指標形成共振時，策略會順勢而為，同時設置時間止損。進場後，如果沒有立即獲利到止盈，就離場。
但市場總是隨機的，所以必須考慮盈虧比
用固定的止損空間換取更大的盈利空間，保證預期值為正，才能在市場中穩定獲利
因此，該策略使用 3.2% 止損、3.3% 止盈1 和 7.2% 止盈2
約1.5:1盈虧比，確保正期望值
因為市場只有大約 10% 的時間有明顯的趨勢
所以這個策略的交易頻率很低
根據2021-01-01至今的回測，交易頻率大約5天一次
用戶也可以選擇適合自己的槓桿以獲得更高的收益。但一定要優先考慮風險。
為防止您在不知情的情況下使用本策略，本策略的運行交易的日期僅至2023-05-30止，後續日期將不開倉和平倉。
如果您想了解更多有關此策略的信息，可以聯繫我。
Market Order Bubbles + Trapped Positions [Pt]"Market Order Bubbles + Trapped Positions" is a multifaceted TradingView indicator, employing volume data to depict intensified market activities. By highlighting aggressive buying/selling behaviors, this tool serves as a dependable aid in pinpointing potential trading reversals. Additionally, it proves an effective device for real-time market trend monitoring. The unique ability of this indicator to spotlight 'Trapped Positions'—resulting from such vigorous trading activity—helps identify crucial price levels or ranges that may lead to significant price responses.
Market Order Bubbles
The Market Order Bubbles feature capitalizes on volume data to estimate market orders. High bullish volume is indicative of a surge in buy orders, while strong bearish volume flags an increase in sell orders. These orders are visually represented by bubbles of different sizes, corresponding directly to the volume strength, thus providing traders with an immediate, intuitive understanding of market activity.
Trapped Positions/Zones
The concept of Trapped Positions emerges when sizable buy orders appear during a bearish market trend, or vice versa. For instance, if a considerable sell order is detected during a bullish uptrend, it signifies that those short positions may be 'trapped'. These positions help in plotting potential price range zones. When the price revisits these zones and the market trend maintains its bullish inclination, trapped shorts might opt for liquidation near break-even to mitigate losses. The reverse holds true in a bearish downtrend.
Trend Follower
The Trend Follower feature is a supportive tool that aims to discern price trends, color-coding candle bars for clarity. This function assists traders by presenting a simplified view of the prevailing trend, helping to minimize distractions caused by minor price shifts.
The utility of the Trend Follower is its ability to aid traders in focusing on the larger market direction. It allows traders to concentrate on the more substantial trend and make decisions that align with this broader market movement, rather than reacting to every minor price fluctuation. As a result, this feature may support traders in maintaining their positions for a longer duration, which could potentially enhance their trading outcomes. The Trend Follower, therefore, offers a helpful contribution to a balanced and effective trading approach.
In essence, the "Market Order Bubbles + Trapped Positions" indicator with its Trend Follower feature provides traders with a comprehensive understanding of market dynamics, allowing them to navigate the financial markets with increased precision and confidence. Its unique features, designed to highlight significant market activities and trends, can greatly aid in refining trading strategies, making it a potentially invaluable tool in a trader's arsenal.
[Trendycator] Trendycator Trend Following IndicatorThis script proposes a simple and intuitive trend following indicator, better usage on those assets which are sufficiently liquid and don't go through random spikes.
Since it is a trend-following system, it works well during trends only and his intent is to find a primary trend and ride it for as long as possible.
We know that the biggest problem is how to understand if asset is in trend or not: for this purpose, the intuitive colors explained hereafter help Traders to understand when asset is in non trend.
It will never enter on the minimum and will never exit on the maximum but will always try to identify the central part of the trend, maintaining the position until the forces supporting the rise of the stock fail.
Usage details
Color interpretation
Green color mean that asset is in a UP Trend.
Red color mean that asset is in a Down Trend.
Gray color mean that indicator is not able to find any clear trend.
Trendycator use stochastic oscillator, which establish the trend and his strength.
As additional filter as noise removal the stochastic oscillator is smoothened using simple moving average.
Trendycator use as well price swing recognition which identify significant high and significant low breakouts.
When stochastic find trend with strength and significant breakout change color: green for up trend and red for down trend.
This mix of trend-following indicator and breakout system is made to avoid, as much as possible, false signal generated from side movement.
Settings
Trendycator usually doesn’t need to set anything.
This because we believe that the user have to searching for the charts where it works well and never "overfitting" the system on a chart.
Overfitting never work as a long time and in the first step for loosing money.
In Tradingview we decide to let the possibilities to set two parameters: "Period_UP" and "Period_DN".
The reason is because this can be adjusted slightly for testing in intraday, but we recommend to manipulate as less as possible.
Period UP/DN meaning: Period_UP are the number of bars considered for swing high detection and Period_DN is the number of bar that Trendycator use for swing low detection.
Important usage note
Trendycator was born and tested in weekly timeframe and works in daily as well. Intraday charts, normally have high volatility that is the opposite of trend; weekly, or daily bars reduce the noise.
Trendycator is tested, and used, in Etf and stocks.
Trendycator is tested, and used, for long operation only.
Trendycator is not tested in different timeframe from what explained above, or chart type different from bars (eg. Renko or Heikin Ashi).
Trendycator is not tested in instrument different from what listed above: like future or Forex.
Trendycator is not tested for short operation. Normally short have very strong movement in less time that is different from trend following concept.
Entry/Exit recommended filters
Investor and traders are free to use and interpretate Trendycator as they feel more confortable but, we recommend to apply some filters on entry and exit.
As you can see in example, we use a trigger for enter in position (not plotted by this indicator).
The high of first green bar is the trigger level for entry: the long position will be in Buy Stop above this level.
The low of first red bar is the trigger level for exit: the long position will be exit in Stop after this level.
Use this trigger criteria is useful to avoid, once more, the false signal.
Conclusion
Trendycator do not provide any guarantees regarding your ability to obtain results or earn money with our ideas, information, tools or strategies.
Nothing on our content makes any promise or guarantee of future results or earnings.
You alone are responsible for your decisions, actions and results in life, and using our code you agree that you will not attempt to hold us responsible for your decisions, actions or results, at any time, under any circumstances.
Fetch ATR + MA StrategyA trend following indicator that allows traders/investors to enter trades for the long term, as it is mainly tested on the daily chart. The indicator fires off buy and sell signals. The sell signals can be turned off as trader can decide to use this indicator for long term buy signals. The buy signals are indicated by the green diamonds, and the red diamonds show the points on then chart where the asset can be sold.
The indicator uses a couple indicators in order to generate the buy signals:
- ADX
- ATR
- Moving Average of ATR
- 50 SMA
- 200 SMA
The buy signal is generated at the cross overs of the 50 and 200 SMA's while the ATR is lower than then Moving Average of the ATR. The buy signal is fired when these conditions are met and if the ADX is lower than 30.
The thought process is as follows:
When the ATR is lower than its moving average, the price should be in a low volatilty environment. An ADX between 25 and 50 signals a Strong trend. Every value below 25 is an absent or weak trend. So entering a trade when the volatilty is still low but increasing, you'll be entering a trade at the start of a new uptrend. This mechanism also filters out lots of false signals of the simple cross overs.
The sell signals are fired every time the 50 SMA drops below the 200 SMA.
TrendDECODER by MetaSignalsProTrendDECODER
The fastest indicator to detect trends and price ranges
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✔️ Identify ranges and the next probable direction
✔️ Get the earliest signals and the strength of Trends
✔️ Get clear exits signals before reversal
✔️ Spot the Fibo levels the price will test
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📌 What is it about ?
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TrendDECODER is a concentrate of multiple innovations to make Trend following simple and easy.
Please see in the 🛠️ Calculation & Precisions section at the end of this page to know more how they work.
👉 With the GreyBox - identify when the market gets out of the Trend with a new sequence of transition. Check if the market is in Range, Continuation or Reversal (Up or Down) and wait for the closing of the box to get the Trend signal.
👉 With the DecoderSignals & Blue/Orange Clouds - once the GreyBox has delivered its message, get the new direction of the Trend and see the probable zones of pull backs during the current direction.
👉 With the Projective TrendLine - see before it happens the direction and the possible angle of the Trend with its probable range.
👉 With the RealTime TrendLine vs the Projective TrendLine - adjust immediately if the market accelerates North or South.
👉 With the RealTime TrendLine Crossing - detect at the earliest the moment the Trend gets out of track, to get out of the train.
👉 With the FiboLevels - spot immediately which price levels the market will test.
📌 For which asset?
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TrendDECODER is universal : it works fine on all assets and all time-frames;
☝️ always work on a multi-timeframe environment to minimize risk;
📌Why we made these innovations?
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Because the trend indicators that we know, lag a lot and do not clearly identify ranges!
We need much more powerful tools than Supertrend or a couple of moving averages crossings to get this done.
📌 How to trade with TrendDECODER?
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🔹 Strategy #1: Trend Following : DecoderSignals & Blue/Orange Clouds
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The GreyBOX has given the next probable movement and the Signal of a Trend in on.
The RealTime TrendLine guides us on the pace of this movement and the Blue/ Orange/Cloud figures the support/resistance of this movement.
It will be wise not to jump immediately in the Trend as the signal appears as the price will very probably make a pullback in direction of the cloud first.
🔹 Strategy #1: Checklist
📍 Set a Multi Time Frame environment
📍 Main Time Frame and the Upper Time Frame are moving in the same direction (Up or Down)
📍 Main Time Frame: appearance of the « TrendUp Signal » or the « TrendDown Signal »
📍 Entry:
☝️ buying « at Market » immediately on a « Trend Signal » is quite risky as many times the price will pull back near the Clouds
👉 a good option is to buy 1/2 the position at market on signal
👉 and 1/2 after the first pull back
📍 First Stop Loss: place your SL under the lower border of the GreyBox for an expected TrendUp or the higher border for an expected TrendDown
📍 BreakEven: when the price reaches your Risk/Reward ratio of 1 = Distance StopLoss vs Entry = Distance Current Price vs Entry
📍 Trailing Stop: just under the lowest border of the Blue Cloud (TrendUp) or the highest border of the Orange Cloud (TrendDown)
📍 TakeProfits: in a TrendUP, place your take profits just under the FibosLevels in order not to get exited (and above in a TrendDOWN)
📍 Exits:
👉 Early option : Crossing of the RealTime TrendLine
👉 Late option : Crossing of the Blue/Orange cloud
🔹 Strategy #2: Early Trend following : RealTime TrendLine Crossing
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With this simple tool, get a very early signal of a probable inversion of the current Trend, way before the Decoder Signal is shown, once confirmed by the GreyBOX.
🔹 Strategy #2: Checklist
📍 Set a Multi Time Frame environment
📍 Main Time Frame and the Upper Time Frame are moving in the same direction (Up or Down)
📍 Entry (Main Time Frame): wait for the Close crossing over the ReaTime TrendLine in an expected TrendUp (under for a TrendDown )
📍 First Stop Loss (Main Time Frame):
👉 place your SL under the lower low of the GreyBOX (for an expected TrendUp) or the higher high (for an expected TrendDown)
📍 BreakEven: move your SL to Entry price when the price reaches your Risk/Reward ratio of 1 = Distance StopLoss vs Entry = Distance Current Price vs Entry
📍 Trailing Stop: just under the lowest border of the Blue Cloud (TrendUp) or the highest border of the Orange Cloud (TrendDown)
📍 TakeProfits: in a TrendUP, place your take profits just under the FibosLevels in order not to get exited (and above in a TrendDOWN)
📍 Exits:
👉 Early option : Crossing of the RealTime TrendLine
👉 Late option : Crossing of the Blue/Orange cloud
🎛️ Configuration
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Well, basically you do not have to do anything !
But you can make TrendDECODER perfectly yours with a few switches in the configuration panel to make appear or disappear each one of the elements composing TrendDECODER.
🛠️ Calculation & Precisions
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🔹 Blue/Orange Clouds
The Blue/Orange Clouds are a proprietary synthesis of Price Action and Volume Exchange in real time.
🔹 Projective TrendLine
As soon as a new high or a new low has been reached during the last move, TrendDECODER traces a possible angle of the future movement based on the pace of the last one in the same direction.
The distance between the Projective TrendLine and the Last Lowest (resp. Highest) gives you a possible bottom (resp. top) of the price range.
🔹 RealTime TrendLine
As soon as the Decoder GreyBox has delivered its information i.e Range/Continuation/ReversalUp/ReversalDown and that a New High (resp. New Low) has been reached, the RealTime TrendLine starts to show the pace and the angle of the new movement based on a linear regression adanced concept.
The angles of the Projective and the RealTime TrendLine can be identical, telling you that the market moves smoothly in a global consensus. It can be a smart Trailing Stop Loss.
Or these angles can be very different and it will call your maximum attention. You might want to switch to a superior timeframe to get the bigger picture.
🔹 FiboLevels
Once a new Trend is signaled, the levels of Fibonnaci are automatically placed.
They are calculated on the last Highest and Lowest of the former movement.
Lorentzian Classification Strategy Based in the model of Machine learning: Lorentzian Classification by @jdehorty, you will be able to get into trending moves and get interesting entries in the market with this strategy. I also put some new features for better backtesting results!
Backtesting context: 2022-07-19 to 2023-04-14 of US500 1H by PEPPERSTONE. Commissions: 0.03% for each entry, 0.03% for each exit. Risk per trade: 2.5% of the total account
For this strategy, 3 indicators are used:
Machine learning: Lorentzian Classification by @jdehorty
One Ema of 200 periods for identifying the trend
Supertrend indicator as a filter for some exits
Atr stop loss from Gatherio
Trade conditions:
For longs:
Close price is above 200 Ema
Lorentzian Classification indicates a buying signal
This gives us our long signal. Stop loss will be determined by atr stop loss (white point), break even(blue point) by a risk/reward ratio of 1:1 and take profit of 3:1 where half position will be closed. This will be showed as buy.
The other half will be closed when the model indicates a selling signal or Supertrend indicator gives a bearish signal. This will be showed as cl buy.
For shorts:
Close price is under 200 Ema
Lorentzian Classification indicates a selling signal
This gives us our short signal. Stop loss will be determined by atr stop loss (white point), break even(blue point) by a risk/reward ratio of 1:1 and take profit of 3:1 where half position will be closed. This will be showed as sell.
The other half will be closed when the model indicates a buying signal or Supertrend indicator gives a bullish signal. This will be showed as cl sell.
Risk management
To calculate the amount of the position you will use just a small percent of your initial capital for the strategy and you will use the atr stop loss or last swing for this.
Example: You have 1000 usd and you just want to risk 2,5% of your account, there is a buy signal at price of 4,000 usd. The stop loss price from atr stop loss or last swing is 3,900. You calculate the distance in percent between 4,000 and 3,900. In this case, that distance would be of 2.50%. Then, you calculate your position by this way: (initial or current capital * risk per trade of your account) / (stop loss distance).
Using these values on the formula: (1000*2,5%)/(2,5%) = 1000usd. It means, you have to use 1000 usd for risking 2.5% of your account.
We will use this risk management for applying compound interest.
> In settings, with position amount calculator, you can enter the amount in usd of your account and the amount in percentage for risking per trade of the account. You will see this value in green color in the upper left corner that shows the amount in usd to use for risking the specific percentage of your account.
> You can also choose a fixed amount, so you will have to activate fixed amount in risk management for trades and set the fixed amount for backtesting.
Script functions
Inside of settings, you will find some utilities for display atr stop loss, break evens, positions, signals, indicators, a table of some stats from backtesting, etc.
You will find the settings for risk management at the end of the script if you want to change something or trying new values for other assets for backtesting.
If you want to change the initial capital for backtest the strategy, go to properties, and also enter the commisions of your exchange and slippage for more realistic results.
In risk managment you can find an option called "Use leverage ?", activate this if you want to backtest using leverage, which means that in case of not having enough money for risking the % determined by you of your account using your initial capital, you will use leverage for using the enough amount for risking that % of your acount in a buy position. Otherwise, the amount will be limited by your initial/current capital
I also added a function for backtesting if you had added or withdrawn money frequently:
Adding money: You can choose how often you want to add money (Monthly, yearly, daily or weekly). Then a fixed amount of money and activate or deactivate this function
Withdraw money: You can choose if you want to withdraw a fixed amount or a percentage of earnings. Then you can choose a fixed amount of money, the period of time and activate or deactivate this function. Also, the percentage of earnings if you choosed this option.
Some other assets where strategy has worked
BTCUSD 4H, 1D
ETHUSD 4H, 1D
BNBUSD 4H
SPX 1D
BANKNIFTY 4H, 15 min
Some things to consider
USE UNDER YOUR OWN RISK. PAST RESULTS DO NOT REPRESENT THE FUTURE.
DEPENDING OF % ACCOUNT RISK PER TRADE, YOU COULD REQUIRE LEVERAGE FOR OPEN SOME POSITIONS, SO PLEASE, BE CAREFULL AND USE CORRECTLY THE RISK MANAGEMENT
Do not forget to change commissions and other parameters related with back testing results!. If you have problems loading the script reduce max bars back number in general settings
Strategies for trending markets use to have more looses than wins and it takes a long time to get profits, so do not forget to be patient and consistent !
Please, visit the post from @jdehorty called Machine Learning: Lorentzian Classification for a better understanding of his script!
Any support and boosts will be well received. If you have any question, do not doubt to ask!
Momentum Covariance Oscillator by TenozenWell, guess what? A new indicator is here! Again it's a coincidence, as I experiment with my formula. So far it's less noisy than Autoregressive Covariance Oscillator, so possibly this one is better. The formula is much simpler, care me to explain.
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Yt = close - previous average
Val = Yt/close
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Welp that's the formula lol. Funny thing is that it's so simple, but it's good! What matters is the use of it haha.
So how to use this Oscillator? If the value is above 0, we expect a bullish response, if the value is below 0 we expect a bearish response. That simple. Ciao.
(Any questions and suggestions? feel free to comment!)
Know the trend - KTT---------- ENGLISH -----------
This indicator combines the values of four common indicators (MACD, MACD signal, normalized RSI and linear regression) to provide a unified view of the market trend. The indicator calculates the average of the rescaled values of these four indicators and plots it on the chart as a line that changes color based on its position relative to 0. If the line is above 0, it is colored black to indicate a bullish trend. If the line is below 0, it is colored red to indicate a bearish trend. The user can enter a value for the length of the indicator to customize the time period used for calculating the underlying indicators. The indicator works on any time frame.
---------- ITALIANO -----------
Questo indicatore combina i valori di quattro indicatori comuni (MACD, segnale MACD, RSI normalizzato e regressione lineare) per fornire una visione unificata del trend del mercato. L’indicatore calcola la media dei valori riscalati di questi quattro indicatori e la disegna sul grafico come una linea che cambia colore in base alla sua posizione rispetto allo 0. Se la linea è sopra lo 0, viene colorata di nero per indicare un trend rialzista. Se la linea è sotto lo 0, viene colorata di rosso per indicare un trend ribassista. L’utente può inserire un valore per la lunghezza dell’indicatore per personalizzare il periodo di tempo utilizzato per il calcolo degli indicatori sottostanti. L’indicatore funziona su ogni time frame.
Trend Following with Dynamic Price ZonesThis script provides a complete framework for following trends , especially on those assets which are sufficiently liquid and don't go through random spikes.
Since it is a trend-following system, it works well during trends only. However, I cannot claim any numbers since the execution requires some discretion at the user's end. This framework can also be combined with other technical tools such as trend lines to increase its efficacy.
Features:
Dynamic Price Zones:
• The Dynamic Price Zones (DPZ) are determined using a proprietary logic that incorporates price movement and certain other factors.
• These zones change more rapidly than conventional support and resistance (S/R) zones, which is why I have named them "Dynamic".
• DPZs can serve as support and resistance zones and help with trend identification to some extent.
• The upper boundary of a zone is called Dynamic Price Zone High (DPZ-H) , while the lower boundary is called Dynamic Price Zone Low (DPZ-L) .
Colour Bars:
• Candle colours are based on another proprietary logic, independent of dynamic price zones .
• These are not traditional moving average-based coloured bars, which is evident from the presence of uncoloured bars in between.
• The uncoloured bars indicate periods of uncertain trends .
• Colour functionality helps in smoothening the trend and assists in riding it for as long as possible.
Stats Table:
• RSI
• VWAP
• % Change from the previous day's closing
• Dynamic Price Zone High (DPZ-H) value
• Dynamic Price Zone Low (DPZ-L) value
Settings:
• DPZs are displayed as horizontal lines with background fill by default, but users can toggle lines and background fill on or off.
• Bar colours can be customized according to user preferences.
• The table can be enabled or disabled based on user input.
• The position of the table can be changed based on 4 available options: Top Left, Top Right, Bottom Left, and Bottom Right.
• Users can toggle individual table fields on or off . For example: If the user wants to hide "Vwap" and "%Change" values, he can turn them off. In that case, only 3 fields will be displayed on the table without occupying additional space.
• Background and text colours for each field of the table can be customized based on user preferences.
How to Use the Dynamic Price Zones:
• When the price is above a DPZ, it indicates a bullish trend , suggesting the possibility of higher prices. These zones are termed Bullish DPZs.
• Conversely, if the price is below a DPZ, it signals a bearish trend , with an expectation of lower prices. These zones are termed Bearish DPZs.
• In a trending market, when the price returns to a previous DPZ, it can present a trading opportunity in the direction of the prior trend (e.g., if the market is falling and the price returns to a previous DPZ, it is likely to reject it).
• Consecutive ascending DPZs indicate a shift in buyers from lower to higher levels and can provide buying opportunities. This also indicates a period of a strong bullish trend.
• Similarly, consecutive descending DPZs indicate a shift in sellers from higher to lower levels and can provide selling opportunities. This also indicates a period of a strong bearish trend.
• Please note that we must be flexible when determining the consecutive zones. For example: There may be a few smaller bearish DPZs in between the bullish DPZs but if the area is dominated by the bullish DPZs then we can consider the zones as consecutive. Similar is true for bearish consecutive zones.
• Closely stacked or adjacent zones suggest that prices will likely remain within a range, moving sideways.
• Wider zones act as big hurdles and, the price may struggle to cross them. They may also lead to a sideways movement.
• Zones that remain clean and untested for several sessions are likely to act as strong support or resistance when the price revisits them.
Bullish Examples:
Bearish Examples:
Some Examples of the Complete System
Trend follower system combined with Trendlines
Special Thanks
I would like to extend my special thanks to all the experts whose lectures and blogs I have studied to gain a limited yet significant knowledge of the Pine language.
Best regards,
Rajat Kumar Singh (@johntradingwick)
Community Manager (India), TradingView.
Autoregressive Covariance Oscillator by TenozenWell to be honest I don't know what to name this indicator lol. But anyway, here is my another original work! Gonna give some background of why I create this indicator, it's all pretty much a coincidence when I'm learning about time series analysis.
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
Well, the formula of Auto-covariance is:
E{(X(t)-(t) * (X(t-s)-(t-s))}= Y_s
But I don't multiply both values but rather subtract them:
E{(X(t)-(t) - (X(t-s)-(t-s))}= Y_s?
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For arm_vald, the equation is as follows:
arm_vald = val_mu + mu_plus_lsm + et
val_mu --> mean of time series
mu_plus_lsm --> val_mu + LSM
et --> error term
As you can see, val_mu^2. I did this so the oscillator is much smoother.
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
After I get the value, I normalize them:
aco = Y_s? / arm_vald
So by this calculation, I get something like an oscillator!
(more details in the code)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
So how to use this indicator? It's so easy! If the value is above 0, we gonna expect a bullish response, if the value is below 0, we gonna expect a bearish response; that simple. Be aware that you should wait for the price to be closed before executing a trade.
Well, try it out! So far this is the most powerful indicator that I've created, hope it's useful. Ciao.
(more updates for the indicator if needed)
TIGERMOOD TREND
🔶 About Tigermood Trend for TradingView.
Tigermood Trend is a trend detector that uses several logics including but not limited to volatility , momentum, key fibonacci levels and trend changing logic to generate a reliable trend on most time frames and applicable for Stocks, futures , Forex, and Cryptos.
Unlike other trend indicators, Tigermood Trend is as simple as it looks but uses several behind-the-scene price action algorithms that work in tandem to create a trend to keep the trader as long as market is trending and hence streamlines their trades accordingly.
🔶 Logic behind Tigermood Trend
Detecting the Fibonacci lows and highs (Hooks) after a trend change or a major trend pivot is formed.
Once a fibonacci hook is detected, key fibonacci levels are calculated and ready to be applied to the trend on event triggers.
To control the optimal fibonacci level to be applied a moving average is added to the logic with length from 20-200 depending on the selected timeframe.
Fibonacci hooks are controlled and validated using a modified supertrend indicator with ATR length and factor set automatically according to the selected timeframe, and that to avoid non-significant hooks (trend pivots).
To update to a certain fibonacci level, certain conditions must be met to validate this level, these conditions check for RSI extreme conditions, supertrend conditions, trend stage (early stage or extended).
Trend changing is controlled as well. In order for trend to change once price crosses the stop-bands, Tigermood trend takes into consideration: volatility, strong or weak trend status, early/mature stage of the trend, and finally the last fibonacci levels used. A bias towards a hard trend change is favored instead of soft trend change, which is a simple close crossing and that to avoid as many false trend changes as possible
During extreme high momentum trending, the updating bias will shift to the moving average with ATR and supertrend limitation.
█ Tigermood Trend is designed to be as plug-and-play indicator with little or no parameters to set or keep tweaking thus enabling the trader to concentrate on his/her strategy entries and exits. (limited settings to control sensitivity and some behavior may be introduced in the future)
█ Tigermood Trend is a no-Repainting indicator. the trend updates only on the close of the current bar using barstate.isconfirmed .
█ However, it is important to emphasize that Tigermood Trend is NOT a signal generator. You don't see Buy and Sell signals on the chart. (as of this date). Even though upon trend changing you may think it is a buy/sell indication but it is NOT. This indicator is made for traders who need a trend to confirm the direction of their trades, and avoid confusion during high market volatility; and experienced traders know very well that trading with a reliable trend constitute an essential and an integral part of their trading strategy. This way the trader is spending more time on fine-tuning their trade opportunities.
█ Tigermood Trend is a Tool to be added to the traders' toolbox and is not a trading system by its own. (While in the future the indicator will highlight area of high opportunity for entries and stop losses)
█ Tigermood Trend is under continuous development. New features, logic updates and new logics will be regularly added in new versions.
Best of luck in your trading journey,
Tigermood
Strategy for UT Bot Alerts indicator Using the UT Bot alerts indicator by @QuantNomad, this strategy was designed for showing an example of how this indicator could be used, also, it has the goal to help some people from a group that use to use this indicator for their trading. Under any circumstance I recommend to use it without testing it before in real time.
Backtesting context: 2020-02-05 to 2023-02-25 of BTCUSD 4H by Tvc. Commissions: 0.03% for each entry, 0.03% for each exit. Risk per trade: 2.5% of the total account
For this strategy, 3 indicators are used:
UT Bot Alerts indicator by Quantnomad
One Ema of 200 periods for indicate the trend
Atr stop loss from Gatherio
Trade conditions:
For longs:
Close price is higher than Atr from UT Bot
Ema from UT Bot cross over Atr from UT Bot.
This gives us our long signal. Stop loss will be determined by atr stop loss (white point), break even(blue point) by a risk/reward ratio of 0.75:1 and take profit of 3:1 where half position will be closed. This will be showed as buy (open long position)
The other half will be closed when close price is lower than Atr and Ema from UT Bot cross under Atr. This will be showed as cl buy (close long position)
For shorts:
Close price is lower than Atr from UT Bot
Ema from UT Bot cross over Atr from UT Bot.
This gives us our short signal. Stop loss will be determined by atr stop loss (white point), break even(blue point) by a risk/reward ratio of 0.75:1 and take profit of 3:1 where half position will be closed. This will be showed as sell (open short position)
The other half will be closed when close price is higher than Atr and Ema from UT Bot cross over Atr. This will be showed as cl sell (close short position)
Risk management
For calculate the amount of the position you will use just a small percent of your initial capital for the strategy and you will use the atr stop loss for this.
Example: You have 1000 usd and you just want to risk 2,5% of your account, there is a long signal at price of 20,000 usd. The stop loss price from atr stop loss is 19,000. You calculate the distance in percent between 20,000 and 19,000. In this case, that distance would be of 5,0%. Then, you calculate your position by this way: (initial or current capital * risk per trade of your account) / (stop loss distance).
Using these values on the formula: (1000*2,5%)/(5,0%) = 500usd. It means, you have to use 500 usd for risking 2.5% of your account.
We will use this risk management for apply compound interest.
In settings, with position amount calculator, you can enter the amount in usd of your account and the amount in percentage for risking per trade of the account. You will see this value in green color in the upper left corner that shows the amount in usd to use for risking the specific percentage of your account.
Script functions
Inside of settings, you will find some utilities for display atr stop loss, break evens, positions, signals, indicators, etc.
You will find the settings for risk management at the end of the script if you want to change something. But rebember, do not change values from indicators, the idea is to not over optimize the strategy.
If you want to change the initial capital for backtest the strategy, go to properties, and also enter the commisions of your exchange and slippage for more realistic results.
In risk managment you can find an option called "Use leverage ?", activate this if you want to backtest using leverage, which means that in case of not having enough money for risking the % determined by you of your account using your initial capital, you will use leverage for using the enough amount for risking that % of your acount in a buy position. Otherwise, the amount will be limited by your initial/current capital
---> Do not forget to deactivate Trades on chart option in style settings for a cleaner look of the chart <---
Some things to consider
USE UNDER YOUR OWN RISK. PAST RESULTS DO NOT REPRESENT THE FUTURE.
DEPENDING OF % ACCOUNT RISK PER TRADE, YOU COULD REQUIRE LEVERAGE FOR OPEN SOME POSITIONS, SO PLEASE, BE CAREFULL AND USE CORRECTLY THE RISK MANAGEMENT
Do not forget to change commissions and other parameters related with back testing results!
Strategies for trending markets use to have more looses than wins and it takes a long time to get profits, so do not forget to be patient and consistent !
---> The strategy can still be improved, you can change some parameters depending of the asset and timeframe like risk/reward for taking profits, for break even, also the main parameters of the UT Bot Alerts <----
The Weinstein MethodWhat is "The Weinstein Method" indicator?
Presentation of the indicator
The Weinstein Method indicator was developed by us to help traders use the Stan Weinstein Method more effectively. This method usually requires a lot of time and analysis to determine the different phases of an asset, but the indicator takes care of that in no time. By simply choosing the market and the timeframe, traders can get the different trends of the asset, the famous four phases of Stan Weinstein.
The basic principles of the indicator
The Weinstein Method indicator is based on the principles of the Stan Weinstein Method. According to this method, assets go through four phases: the accumulation phase, the rise phase, the distribution phase and the fall phase. Traders use these phases to determine when to buy, sell or stay out of the market.
How the indicator works
The indicator will take into account several elements to trigger the phases: the RSI, the volumes, the EMA, the Relative Strength of the asset (the choice of the market in the menu of the indicator is determining for this calculation) and the Supports/Resistances.
Depending on the Timeframe (several configurations: 1 hour, 4 hours, daily, weekly and monthly) and the market (Dow Jones - Stock, S&P 500 - Stock, Nasdaq - Stock, DAX - Stock, CAC 40 - Stock and Cryptos) selected, the variables mentioned above change to adapt to the asset and the timeframe.
Each phase has criteria that must be met in order to be triggered (those described by Stan Weinstein in his book "Secrets for Profiting in Bull and Bear Markets"):
- Phase 1: We have determined as criteria: low volume, RSI in the low zone, minimal price variation over the last X candles and the EMA without direction.
- Phase 2: We calculate the relative strength of the asset compared to its benchmark, above-average volumes, the break of a major resistance, the direction of the EMA and the level of the RSI.
- Phase 3: We look to see if the asset breaks its uptrend (break of a trend following EMA), if it fails to make a new high, if the RSI is in the high zone and if the volumes are strong.
- Phase 4: For this phase to be triggered, the asset must break a major support, be below the EMA (once again these variables are adapted according to the timeframe and the market selected in the menu) and the EMA must be bearish.
How to use
The signals of the indicator
On the chart, the indicator allows you to visualize the different phases of an asset's movement. Each point on the chart corresponds to a particular phase, which is labeled below the point with the name of the phase. The different phases that can be identified with the help of the indicator are the following:
- S1: Accumulation
- S2: Rising
- S3: Distribution
- S4: Decline
By observing the successive points, it’s possible to identify the market trend and to consider trading positions accordingly.
The different strategies for using the indicator
The market phase indicator can be used for both short term and long-term trading strategies. However, it should be noted that this method is generally used for the medium and long term.
In terms of trading strategies, investors can use the indicator to identify periods of trend reversal and take positions against the current trend. For example, if the indicator shows a distribution phase, this may indicate a downward trend reversal and a trader could take a sell position when the downward phase begins.
On the other hand, traders can also use the indicator to confirm the current trend and take positions in the direction of the trend. If the indicator shows an upward phase, this may indicate a continuing upward trend and a trader could take a buy position.
Disclaimer
Please note that The Weinstein Method indicator is a tool designed to assist traders in their decision-making process. While it is based on sound principles and can be helpful in identifying market trends, it is important to remember that there is no magic indicator that can guarantee success in trading.
It is the responsibility of the user to carefully consider all available information, including the signals generated by The Weinstein Method indicator, and to make their own informed decisions about when to buy, sell or stay out of the market. It is important to remember that trading carries risks, and no strategy or tool can eliminate those risks entirely.
We want to emphasize that we do not provide investment advice, and any decisions made using The Weinstein Method indicator are the sole responsibility of the user. We cannot be held liable for any losses that may occur as a result of trading using this indicator.
Investments/swing trading strategy for different assetsStop worrying about catching the lowest price, it's almost impossible!: with this trend-following strategy and protection from bearish phases, you will know how to enter the market properly to obtain benefits in the long term.
Backtesting context: 1899-11-01 to 2023-02-16 of SPX by Tvc. Commissions: 0.05% for each entry, 0.05% for each exit. Risk per trade: 2.5% of the total account
For this strategy, 5 indicators are used:
One Ema of 200 periods
Atr Stop loss indicator from Gatherio
Squeeze momentum indicator from LazyBear
Moving average convergence/divergence or Macd
Relative strength index or Rsi
Trade conditions:
There are three type of entries, one of them depends if we want to trade against a bearish trend or not.
---If we keep Against trend option deactivated, the rules for two type of entries are:---
First type of entry:
With the next rules, we will be able to entry in a pull back situation:
Squeeze momentum is under 0 line (red)
Close is above 200 Ema and close is higher than the past close
Histogram from macd is under 0 line and is higher than the past one
Once these rules are met, we enter into a buy position. Stop loss will be determined by atr stop loss (white point) and break even(blue point) by a risk/reward ratio of 1:1.
For closing this position: Squeeze momentum crosses over 0 and, until squeeze momentum crosses under 0, we close the position. Otherwise, we would have closed the position due to break even or stop loss.
Second type of entry:
With the next rules, we will not lose a possible bullish movement:
Close is above 200 Ema
Squeeze momentum crosses under 0 line
Once these rules are met, we enter into a buy position. Stop loss will be determined by atr stop loss (white point) and break even(blue point) by a risk/reward ratio of 1:1.
Like in the past type of entry, for closing this position: Squeeze momentum crosses over 0 and, until squeeze momentum crosses under 0, we close the position. Otherwise, we would have closed the position due to break even or stop loss.
---If we keep Against trend option activated, the rules are the same as the ones above, but with one more type of entry. This is more useful in weekly timeframes, but could also be used in daily time frame:---
Third type of entry:
Close is under 200 Ema
Squeeze momentum crosses under 0 line
Once these rules are met, we enter into a buy position. Stop loss will be determined by atr stop loss (white point) and break even(blue point) by a risk/reward ratio of 1:1.
Like in the past type of entries, for closing this position: Squeeze momentum crosses over 0 and, until squeeze momentum crosses under 0, we close the position. Otherwise, we would have closed the position due to break even or stop loss.
Risk management
For calculating the amount of the position you will use just a small percent of your initial capital for the strategy and you will use the atr stop loss for this.
Example: You have 1000 usd and you just want to risk 2,5% of your account, there is a buy signal at price of 4,000 usd. The stop loss price from atr stop loss is 3,900. You calculate the distance in percent between 4,000 and 3,900. In this case, that distance would be of 2.50%. Then, you calculate your position by this way: (initial or current capital * risk per trade of your account) / (stop loss distance).
Using these values on the formula: (1000*2,5%)/(2,5%) = 1000usd. It means, you have to use 1000 usd for risking 2.5% of your account.
We will use this risk management for applying compound interest.
In settings, with position amount calculator, you can enter the amount in usd of your account and the amount in percentage for risking per trade of the account. You will see this value in green color in the upper left corner that shows the amount in usd to use for risking the specific percentage of your account.
Script functions
Inside of settings, you will find some utilities for display atr stop loss, break evens, positions, signals, indicators, etc.
You will find the settings for risk management at the end of the script if you want to change something. But rebember, do not change values from indicators, the idea is to not over optimize the strategy.
If you want to change the initial capital for backtest the strategy, go to properties, and also enter the commisions of your exchange and slippage for more realistic results.
If you activate break even using rsi, when rsi crosses under overbought zone break even will be activated. This can work in some assets.
---Important: In risk managment you can find an option called "Use leverage ?", activate this if you want to backtest using leverage, which means that in case of not having enough money for risking the % determined by you of your account using your initial capital, you will use leverage for using the enough amount for risking that % of your acount in a buy position. Otherwise, the amount will be limited by your initial/current capital---
Some things to consider
USE UNDER YOUR OWN RISK. PAST RESULTS DO NOT REPRESENT THE FUTURE.
DEPENDING OF % ACCOUNT RISK PER TRADE, YOU COULD REQUIRE LEVERAGE FOR OPEN SOME POSITIONS, SO PLEASE, BE CAREFULL AND USE CORRECTLY THE RISK MANAGEMENT
Do not forget to change commissions and other parameters related with back testing results!
Some assets and timeframes where the strategy has also worked:
BTCUSD : 4H, 1D, W
SPX (US500) : 4H, 1D, W
GOLD : 1D, W
SILVER : 1D, W
ETHUSD : 4H, 1D
DXY : 1D
AAPL : 4H, 1D, W
AMZN : 4H, 1D, W
META : 4H, 1D, W
(and others stocks)
BANKNIFTY : 4H, 1D, W
DAX : 1D, W
RUT : 1D, W
HSI : 1D, W
NI225 : 1D, W
USDCOP : 1D, W
Trend Oscillatorwhat is "Trend Oscillator"?
it is an indicator for determining the trend.
what it does?
analyzes the price action by reducing it to 4 different situations. Red means strong bear, orange means bearish, yellow means weak bull and green means strong bull. It was developed to help traders who trade in the direction of the trend and its biggest promise is to simplify price action.
how it does it?
He defines 4 different situations as follows. If the velocity of the price is positive and the acceleration is positive, it is a strong bull, if the velocity is positive and the acceleration is negative, it is a weak bull, if the velocity is negative and the acceleration is positive, it is a weak bear, if both velocity and acceleration are negative, it is a strong bear.
2 for strong bull
1 for the weak bull
-1 for weak bear
Creates a function that takes values of -2 for the strong bear. this function is the velocity of the principal indicator, and then the integral of this function forms the principal indicator.
how to use it?
"source" is used to change the source of the indicator,
"length" makes the indicator give a later but less signal.
you can use it to follow or analyze the trend. colors make it easy to use. learns about current or past trends by looking at colors. Like any trend indicator, it can give unsuccessful signals in a horizontal trend.
VWAP filtered MACD Bars with positive MACD histogram value and closing above VWAP are colored, long positions should be taken in areas made of those bars.
Similarly, bars with negative MACD histogram value and closing below VWAP are also colored, short positions should be taken there.
This indicator by default should be a part of your trend following trading system.
In the setting you can change colors
Above grow: positive and rising MACD histogram value
Above fall: positive and falling MACD histogram value
Below fall: negative and falling MACD histogram value
Below grow: negative and rising MACD histogram value
Rocket Grid Algorithm - The Quant ScienceThe Rocket Grid Algorithm is a trading strategy that enables traders to engage in both long and short selling strategies. The script allows traders to backtest their strategies with a date range of their choice, in addition to selecting the desired strategy - either SMA Based Crossunder or SMA Based Crossover.
The script is a combination of trend following and short-term mean reversing strategies. Trend following involves identifying the current market trend and riding it for as long as possible until it changes direction. This type of strategy can be used over a medium- to long-term time horizon, typically several months to a few years.
Short-term mean reversing, on the other hand, involves taking advantage of short-term price movements that deviate from the average price. This type of strategy is usually applied over a much shorter time horizon, such as a few days to a few weeks. By rapidly entering and exiting positions, the strategy seeks to capture small, quick gains in volatile market conditions.
Overall, the script blends the best of both worlds by combining the long-term stability of trend following with the quick gains of short-term mean reversing, allowing traders to potentially benefit from both short-term and long-term market trends.
Traders can configure the start and end dates, months, and years, and choose the length of the data they want to work with. Additionally, they can set the percentage grid and the upper and lower destroyers to manage their trades effectively. The script also calculates the Simple Moving Average of the chosen data length and plots it on the chart.
The trigger for entering a trade is defined as a crossunder or crossover of the close price with the Simple Moving Average. Once the trigger is activated, the script calculates the total percentage of the side and creates a grid range. The grid range is then divided into ten equal parts, with each part representing a unique grid level. The script keeps track of each grid level, and once the close price reaches the grid level, it opens a trade in the specified direction.
The equity management strategy in the script involves a dynamic allocation of equity to each trade. The first order placed uses 10% of the available equity, while each subsequent order uses 1% less of the available equity. This results in the allocation of 9% for the second order, 8% for the third order, and so on, until a maximum of 10 open trades. This approach allows for risk management and can help to limit potential losses.
Overall, the Rocket Grid Algorithm is a flexible and powerful trading strategy that can be customized to meet the specific needs of individual traders. Its user-friendly interface and robust backtesting capabilities make it an excellent tool for traders looking to enhance their trading experience.
Fibonacci Step IndicatorThe Fibonacci Step Indicator assumes irregularity in calculating a moving average. It is measured as the mean of the previous lows and highs situated at Fibonacci past periods. For example, the mean of the lows from 2, 3, 5, 8, etc. periods ago form the Fibonacci step indicator.
The indicator uses the formula for the first twelve Fibonacci numbers on highs and lows so that it creates a moving support/resistance zone. Afterwards, the zone is stabilized by taking the highest highs of the upper indicator and the lowest lows of the lower indicator part.
The indicator is used as a trend following way. It can be compared to the Ichimoku Kinko Hyo cloud (without the future projection). The zone form a support and resistance area. During ranging periods, the market will fluctuate within the area which is a bad time to follow the trend (if any).
Market Structure Double BOS Confirm
🔥 Overview
🎯 This Double BOS(Break Of Structure) Confirm indicator combined ma-based BOS and classic BOS
to achieve a more credible BOS signal . it works well in most symbols with 2 parameters finetune.
🎯 It's a enhanced version compare with previous script.
🎯 at the same time, I keep D-BOS and BOS separately, you can use them in combination freely.
🔥 Indicator design logic
🎯 there are 3 parts in this indicator.
Part 1: MA-Based BOS
1. use close-in EMA's highest/lowest value mark as SWING High/Low when EMA crossover/under,
not use func ta.pivothigh()/ta.pivotlow()
2. once price reaching EMA’s SWING High/Low, draw a line link High/Low to current bar, labled as BOS
3. more MA-Based BOS details can get from my previous script.
Part 2: Classic BOS
1. use pivothigh/low function to find pivot (decided by left/right swing length)
2. when get new pivothigh, compare with previous high, calculate HH/LH/HL/LL result
3. once bar closed and break pivothigh then labed as BOS
Part 3: Double BOS Confirms
1. when MA-Based BOS and Classic BOS occured at the same bar closed signed as D-BOS
2. when two BOS events one bar apart, signed as D-BOS
🔥 Settings
🎯 there are 13 input properties in script, 4 properties(Bold field) have an impact on the results and the other 9 show display effects.
GRP1
MA_Type : MA type you can choose(EMA/RMA/SMA/HMA/WMA/VWMA), default is HMA
short_ma_len : MA length of your current timeframe on chart, default 30
show_ma_bos_line: whether show ma-based BOS line, default false
GRP2
left_swing_len : pivothigh(source, left,right), it‘s left swing length
right_swing_len : right swing length
show_pivot_bos_line: whether show pivot-based BOS line, default false
GRP3
show_double_bos_line: show double_bos_line, default true
double_bos_linewidth: linewidth, default 2 (Bold line)
double_bos_linestyle: default Dashed
🔥 Usage
🎯 BOS signal usually worked fine in high volatility market, low volatility is meaningless.
🎯 D-BOS will filtered much more signals than ma-based BOS and classic BOS
We can see that it performs well in trending market of different symbols, and BOS is an opportunity to add positions,
D-BOS will filtered much more signals
Double-BOS Confirm : BINANCE:BTCUSDTPERP 30m
MA-Based BOS : BINANCE:BTCUSDTPERP 30m
🎯 Support classic HH/HL label, MA-Based Zigzag
🎯 You can use only D-BOS, MA-BOS or Classic-BOS alone, or D-BOS and one of the other, it's up to you,
but my personal preference is to use D-BOS and MA-BOS in combination
🎯 any questions or suggestion please comment below, I would appreciate it greatly.
Additionally, I plan to publish 20 profitable strategies in 2023; indicatior not one of them,
let‘s witness it together!
Hope this indicator will be useful for you :)
enjoy! 🚀🚀🚀
Trend Analysis [Ultimate] (Expo)█ Overview
We have developed a Trend Analysis Indicator with many great functionalities that help traders to:
Identify when a confirmed trend starts and ends.
Identify pullbacks within trends.
Identify the current trend direction and potential trend shifts.
The indicator differentiates between different trend characteristics to measure the current trend stage. Everything is identified in real-time and without repainting.
█ How is the trend characteristic calculated?
This Trend Analysis Indicator uses different calculations method, such as Fibonacci ratios, price retracements, cycles, and volatility measures, to calculate the trend characteristic. These values are used in an EWMA* function (similar to RMA). This function is used to smooth out the noise in data sets and to better identify cyclic patterns in the data. This function works by giving greater weight to more recent data points and less weight to older data points. This allows it to better identify and track trends in the data. The indicator is a valuable and useful tool for market analysis and can be used to evaluate the strength, direction, and characteristics of trends in a market.
█ Trend Trading
Identifying the trend in trading is important because it helps traders to understand the direction in which the market is moving. Knowing the trend allows traders to develop more accurate trading strategies. Entering into a confirmed trend reduces your risk and increases the profit potential. However, knowing when to exit a trending market can be even harder. That is why we have developed this indicator that will notify you when the trend move is about to end.
The key to success in trend trading lies in being able to recognize the beginning and end of a trend, as well as being able to spot pullbacks within an established trend. This trend indicator is a valuable tool to get insights into the current trend characteristic, which helps traders to spot new trends and pullbacks.
█ How to use
Trend
This indicator should be used with trend analysis! Combine the indicators' insights with trend lines , channels, market structure, etc., to better understand the current trend structure.
This indicator is about confirming a trend and understanding when a trend might start and end.
Use this indicator to confirm and gain insights about trend structure.
Trend Change
The indicator comes with a background and bar coloring that detects the current trend and displays when the trend has a higher likelihood of changing.
Pullback
Pullback traders will find this indicator very useful to confirm and find pullbacks within trends.
█ Indicator Features
This Trend Analysis indicator has many valuable features for trend trading :
Start & End of the Trend Feature:
First, the default settings display a green and red histogram, which we call; (Start/End of Trend). This feature identifies when a confirmed trend is about to start/end and finds pullbacks within the trend.
Confirmed Trend:
Enable the confirmed trend if you want to display a green and red histogram when the trend is confirmed. When this histogram peaks, traders know that a momentum move in the trend direction is completed. This is a sign that the trend is strong. However, after such a move, a retracement is likely to happen. Use these peaks to take partial profits and to prepare to enter into the trend on the pullback that is likely to come.
Bar Coloring:
Bar coloring shows the direction of the trend and identifies areas where the trend has a higher probability of changing direction. When the bar coloring becomes white, traders know that the current price action within the trend has a characteristic of that there is a higher likelihood of a trend change. Use this insight to prepare for a potential trend change.
Background Coloring:
The background coloring is displayed when a strong trend is detected.
*EWMA stands for Exponentially Weighted Moving Average. It is a type of time series forecasting method that assigns greater weight to recent observations in a time series data set. It is a way of smoothing out the data to remove the noise and make it easier to identify patterns and trends.
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Disclaimer
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All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Simple SuperTrend Strategy for BTCUSD 4HHello guys!, If you are a swing trader and you are looking for a simple trend strategy, you should check this one. Based in the supertrend indicator, this strategy will help you to catch big movements in BTCUSD 4H and avoid losses as much as possible in consolidated situations of the market
This strategy was designed for BTCUSD in 4H timeframe
Backtesting context: 2020-01-02 to 2023-01-05 (The strategy has also worked in previous years)
Trade conditions:
Rules are actually simple, the most important thing is the risk and position management of this strategy
For long:
Once Supertrend changes from a downtrend to a uptrend, you enter into a long position. The stop loss will be defined by the atr stop loss
The first profit will be of 0.75 risk/reward ratio where half position will be closed. When this happens, you move the stop loss to break even.
Now, just will be there two situations:
Once Supertrend changes from a uptrend to a downtrend, you close the other half of the initial long position.
If price goes againts the position, the position will be closed due to breakeven.
For short:
Once Supertrend changes from a uptrend to a downtrend, you enter into a short position. The stop loss will be defined by the atr stop loss
The first profit will be of 0.75 risk/reward ratio where half position will be closed. When this happens, you move the stop loss to break even.
Like in the long position, just will be there two situations:
Once Supertrend changes from a downtrend to a uptrend, you close the other half of the initial short position.
If price goes againts the position, the position will be closed due to breakeven.
Risk management
For calculate the amount of the position you will use just a small percent of your initial capital for the strategy and you will use the atr stop loss for this.
Example: You have 1000 usd and you just want to risk 2,5% of your account, there is a long signal at price of 20,000 usd. The stop loss price from atr stop loss is 19,000. You calculate the distance in percent between 20,000 and 19,000. In this case, that distance would be of 5,0%. Then, you calculate your position by this way: (initial or current capital * risk per trade of your account) / (stop loss distance).
Using these values on the formula: (1000*2,5%)/(5,0%) = 500usd. It means, you have to use 500 usd for risking 2.5% of your account.
We will use this risk management for apply compound interest.
Script functions
Inside of settings, you will find some utilities for display atr stop loss, supertrend or positions.
You will find the settings for risk management at the end of the script if you want to change something. But rebember, do not change values from indicators, the idea is to not over optimize the strategy.
If you want to change the initial capital for backtest the strategy, go to properties, and also enter the commisions of your exchange and slippage for more realistic results.
Signals meanings:
L for long position. CL for close long position.
S for short position. CS for close short position.
Tp for take profit (it also appears when the position is closed due to stop loss, this due to the script uses two kind of positions)
Exit due to break even or due to stop loss
Some things to consider
USE UNDER YOUR OWN RISK. PAST RESULTS DO NOT REPRESENT THE FUTURE.
DEPENDING OF % ACCOUNT RISK PER TRADE, YOU COULD REQUIRE LEVERAGE FOR OPEN SOME POSITIONS, SO PLEASE, BE CAREFULL AND USE CORRECTLY THE RISK MANAGEMENT
The amount of trades closed in the backtest are not exactly the real ones. If you want to know the real ones, go to settings and change % of trade for first take profit to 100 for getting the real ones. In the backtest, the real amount of opened trades was of 194.
Indicators used:
Supertrend
Atr stop loss by garethyeo
This is the fist strategy that I publish in tradingview, I will be glad with you for any suggestion, support or advice for future scripts. Do not doubt in make any question you have and if you liked this content, leave a boost. I plan to bring more strategies and useful content for you!
