Premium MTF Layered RSI - Bitcoin Bot [wbburgin]This the premium version of my MTF Layered RSI strategy, which improves significantly on the original strategy (publicly available on my profile). Improvements are below. This strategy will also appear as an overlay on your chart. It is completely non-repainting.
The MTF Layered RSI strategy uses the current timeframe and two configurable higher timeframes to enter a long position when Bitcoin is oversold on all three timeframes, and exit the long position when Bitcoin is overbought on the current timeframe. This hedges against situations where the RSI on higher timeframes never reaches the overbought level and we are left "holding the bag" so to speak with the classic "enter long at oversold and enter short at overbought" strategy.
IMPORTANT: This strategy does not work on ranges. It will work on all timeframes and assets, but does not work on ranges (Renko blocks and some other advanced types of charts).
********** My Background
I am an investor, trader, and entrepreneur with 10 years of cryptocurrency and equity trading experience and founder of two fintech startups. I am a graduate of a prestigious university in the United States and carry broad and inclusive interests in mathematical finance, computer science, machine learning / artificial intelligence, as well as other fields.
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Improvements over the original MTF RSI strategy include:
Filters for Uptrends and Downtrends → The Premium RSI strategy will adjust its buy and sell thresholds depending on whether the instrument is trending. This means that, in uptrends, the Premium strategy will buy more frequently, bringing in potentially greater profit, and in downtrends, the strategy will stop buying altogether. These filters and dynamic buy/sell thresholds have made this strategy more profitable in my backtesting across random timeframes, but I cannot guarantee that the strategy will be profitable for you on the default settings. To that end, I have enabled a number of different configurations that you can change in the settings of the strategy.
Stop Loss / Take Profit Calculation Per Tick → Stop loss and take profit are now both enabled in the script and each has their own alerts. You can specify what type of stop loss or take profit you want: percentage or ATR. If you have alerts configured, you will be alerted mid-bar, instead of at close. This helps prevent loss from abrupt falls in price between closing price and next bar open.
Customizable Alert Messages In-Strategy → In the settings, there will be text boxes where you can create your own alerts. All you will need to do is create an alert in the alert panel on Tradingview and leave the message box blank - if you fill out the alert boxes in the settings, these will automatically populate into your alerts. There are in total eight different customizable alerts messages: Entry, Exit, Stop loss, and Take profit alerts for both Long and Short sides. If you disable stop loss and/or take profit, these alerts will also be disabled. Similarly, if you disable shorts, all short alerts will be disabled.
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Display
Configuring Stop Loss or Take Profit will make their corresponding displays appear.
Separately from the trading boxes, background colors (green, red) signify extended uptrends and downtrends, respectively.
Configuring Alerts
In TradingView desktop, go to the ‘Alerts’ tab on the right panel. Click the “+” button to create a new alert. Select this strategy for the condition and one of the two options that includes alert() function calls. Name the alert what you wish and clear the default message, because your text in the settings will replace this message.
Now that the alert is configured, you can go to the settings of the strategy and fill in your chosen text for the specific alert condition. You will need to check “Long and Short” in the “Trade Direction” setting in order for any Short Alerts to become active. Similarly, you will need to check “Enable Stop Loss” for stop loss alerts to become active and “Enable Take Profit” for take profit alerts to become active.
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Disclaimer
Copyright by wbburgin.
The information contained in my Scripts/Indicators/Algorithms does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
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Notes on the Strategy Performance below: This is 3% of equity per trade, with a pyramiding number of 3. I did not include fees because Binance US on Bitcoin/USD does not charge fees on the instrument; however, I heavily encourage you to include fees in your backtesting if you use a different brokerage. To mitigate fees, this strategy is designed with a high average %/trade. If your current fees are greater than the strategy's average %/trade, I encourage you to choose a higher RSI period, such as 14 or 28, which will result in less trades but potentially a higher %/trade.
In den Scripts nach "algo" suchen
Pure Morning 2.0 - Candlestick Pattern Doji StrategyThe new "Pure Morning 2.0 - Candlestick Pattern Doji Strategy" is a trend-following, intraday cryptocurrency trading system authored by devil_machine.
The system identifies Doji and Morning Doji Star candlestick formations above the EMA60 as entry points for long trades.
For best results we recommend to use on 15-minute, 30-minute, or 1-hour timeframes, and are ideal for high-volatility markets.
The strategy also utilizes a profit target or trailing stop for exits, with stop loss set at the lowest low of the last 100 candles. The strategy's configuration details, such as Doji tolerance, and exit configurations are adjustable.
In this new version 2.0, we've incorporated a new selectable filter. Since the stop loss is set at the lowest low, this filter ensures that this value isn't too far from the entry price, thereby optimizing the Risk-Reward ratio.
In the specific case of ALPINE, a 9% Take-Profit and and Stop-Loss at Lowest Low of the last 100 candles were set, with an activated trailing-stop percentage, Max Loss Filter is not active.
Name : Pure Morning 2.0 - Candlestick Pattern Doji Strategy
Author : @devil_machine
Category : Trend Follower based on candlestick patterns.
Operating mode : Spot or Futures (only long).
Trades duration : Intraday
Timeframe : 15m, 30m, 1H
Market : Crypto
Suggested usage : Short-term trading, when the market is in trend and it is showing high volatility .
Entry : When a Doji or Morning Doji Star formation occurs above the EMA60.
Exit : Profit target or Trailing stop, Stop loss on the lowest low of the last 100 candles.
Configuration :
- Doji Settings (tolerances) for Entry Condition
- Max Loss Filter (Lowest Low filter)
- Exit Long configuration
- Trailing stop
Backtesting :
⁃ Exchange: BINANCE
⁃ Pair: ALPINEUSDT
⁃ Timeframe: 30m
⁃ Fee: 0.075%
⁃ Slippage: 1
- Initial Capital: 10000 USDT
- Position sizing: 10% of Equity
- Start: 2022-02-28 (Out Of Sample from 2022-12-23)
- Bar magnifier: on
Disclaimer : Risk Management is crucial, so adjust stop loss to your comfort level. A tight stop loss can help minimise potential losses. Use at your own risk.
How you or we can improve? Source code is open so share your ideas!
Leave a comment and smash the boost button!
Thanks for your attention, happy to support the TradingView community.
Statistical Arbitrage Right LegStatistical Arbitrage, this is the right leg strategy signal.
You should find "Statistical Arbitrage Left Leg (Symbol 1)" this strategy for the opposite leg (Left Leg),
In order to full hedge the position exposure risk, and profit on the spread convergence.
Statistical arbitrage is a quantitative trading strategy that seeks to exploit pricing discrepancies in financial markets based on statistical models and analysis. It involves using mathematical models and statistical techniques to identify and take advantage of mispricings between related financial assets.
In statistical arbitrage, traders use sophisticated algorithms to identify pairs or groups of financial assets that are expected to move in tandem based on historical correlations. They then look for deviations from these historical patterns in order to generate profitable trades. For example, a trader might identify a pair of stocks that have historically moved together, but are currently priced such that one is significantly cheaper than the other. The trader would then buy the cheaper stock and simultaneously sell the more expensive one, hoping to profit when the prices converge.
Statistical arbitrage is a popular trading strategy among hedge funds and other institutional investors, who have access to large amounts of data and the computational resources necessary to analyze it. However, it requires significant expertise in statistics, mathematics, and programming, as well as access to advanced analytical tools and data sources.
Statistical Arbitrage Left LegStatistical Arbitrage, this is the left leg strategy signal.
You should find "Statistical Arbitrage Right Leg (Symbol 1)" this strategy for the opposite leg (Right Leg),
In order to full hedge the position exposure risk, and profit on the spread convergence.
Statistical arbitrage is a quantitative trading strategy that seeks to exploit pricing discrepancies in financial markets based on statistical models and analysis. It involves using mathematical models and statistical techniques to identify and take advantage of mispricings between related financial assets.
In statistical arbitrage, traders use sophisticated algorithms to identify pairs or groups of financial assets that are expected to move in tandem based on historical correlations. They then look for deviations from these historical patterns in order to generate profitable trades. For example, a trader might identify a pair of stocks that have historically moved together, but are currently priced such that one is significantly cheaper than the other. The trader would then buy the cheaper stock and simultaneously sell the more expensive one, hoping to profit when the prices converge.
Statistical arbitrage is a popular trading strategy among hedge funds and other institutional investors, who have access to large amounts of data and the computational resources necessary to analyze it. However, it requires significant expertise in statistics, mathematics, and programming, as well as access to advanced analytical tools and data sources.
JS-TechTrading: Supertrend-Strategy_Basic versionAre you looking for a reliable and profitable algorithmic trading strategy for TradingView? If so, you might be interested in our Supertrend basic strategy, which is based on three powerful indicators: Supertrend (ATR), RSI and EMA.
Supertrend is a trend-following indicator that helps you identify the direction and strength of the market. It also gives you clear signals for entry and exit points based on price movements.
RSI is a momentum indicator that measures the speed and change of price movements. It helps you filter out false signals and avoid overbought or oversold conditions.
EMA is a moving average indicator that smooths out price fluctuations and shows you the long-term trend of the market. It helps you confirm the validity of your trades and avoid trading against the trend.
Our Supertrend basic strategy combines these three indicators to give you a simple yet effective way to trade any market. Here's how it works:
- For long trades, you enter when the price is above Supertrend and pulls back below it (the low of the candle crosses Supertrend) and then rebounds above it (the high of the next candle goes above the pullback candle). You exit when the price closes below Supertrend or when you reach your target profit or stop loss.
- For short trades, you enter when the price is below Supertrend and pulls back above it (the high of the candle crosses Supertrend) and then drops below it (the low of the next candle goes below the pullback candle). You exit when the price closes above Supertrend or when you reach your target profit or stop loss.
- You can also use RSI and EMA filters to improve your results. For long trades, you only enter if RSI is above 50 and price is above 200 EMA. For short trades, you only enter if RSI is below 50 and price is below 200 EMA.
- You can set your stop loss and target profit as a percentage of your entry price or based on other criteria. You can also adjust the parameters of each indicator according to your preferences and risk tolerance.
Our Supertrend basic strategy is easy to use and has been tested on various markets and time frames. It can help you capture consistent profits while minimizing your losses.
DLX-NationThis Strategy is based on 8 EMAs and the RSI ( 14 Length )
Its algorism check for the trend of the market using crossover EMAs, then it waits for a 38% - 50% pullback. During this Pullback it checks the behaviour of the EMAs by making sure consolidation is coming to and end by checking if the red EMA cuts through certain candle bodies. Then it detects a takeover in the market, meaning during a pullback ( in case of a buy ) it calculates the selling volume and waits to confirm that buyers retake over the Market by calculating the candle sizes making sure the current candle is bigger than the previous candle using the 3rd EMA (if 50 EMA is below market price) then finally It checks if there is enough buying Strength ( in case of a buy ) or enough selling strength ( in case of a sell) by checking the RSI level over a certain period of time. When all these confirmations are done, it then analyses previous supports and resistence, and only sends a signal if there is not resistance for a buy and no support for a sell.
Its best for a strong bullish or bearish 1min, 5mins and 15mins market, thats why it only available on US30 and NAS100 for now. Its best when all the EMAs are spreading out or in other words the distance between the EMAs are increasing.
In case of a consolidation, you will see all EMAs moving together and in this case you shouldnt take any signal called. Following EMAs should guide you identifying a consilidation
50 EMA = Aqua
90 EMA = Green
150 EMA = Purple
200 EMA = Gray
400 EMA = Orange
800 EMA = Blue
Note: If you see all these EMA coming closer to each other, it indicates a long going consolidation and during these moments you shouldnt execute any signal. These is the reason why we decided to plot them on the Chart. We understand trading with a clean Chart is important, moreover using certain tools to be more profitable is essential. In case the 50 EMA ( Aqua ) Crosses over or below the 150 EMA ( Green ) and 200 EMA (Gray), this will indicate end of the consolidation and the signals will have more liquidity and movement.
Lastly when a signal is being called make sure the last candle is clearly bigger than the previous candles, this indicates that the buyer ( in case of a buy candle ) are clearly taking over the market or the sellers ( in case of a sell candle ) are clearly taking over the market giving you more volume and liquidity.
To optain the max Profit:
After adding the Strategy / Indicator on your Chart go to Settings -> Properties and set the Pyramiding to 30. These implies that we can have 30 consecutive buy signals in a row or sell signals in a row. We recommend an initail Balance of 2000$, but mininum 1000% and a lotsize of 10cent per pip (0.1). Strickly follow the Take Profit (100pips) and StopLoss (500pips) level that will be provided in this case also risk only 1% of your account per trade and maximun 5% per running trades.
Keep in mind, the smaller the TImeframe the more trades you will recieve and the stronger the momentum the more profitable the trade will be.
Yesterday’s High Breakout - Trend Following StrategyYesterday’s High Breakout it is a trading system based on the analysis of yesterday's highs, it works in trend-following mode therefore it opens a long position at the breakout of yesterday's highs even if they occur several times in one day.
There are several methods for exiting a trade, each with its own unique strategy. The first method involves setting Take-Profit and Stop-Loss percentages, while the second utilizes a trailing-stop with a specified offset value. The third method calls for a conditional exit when the candle closes below a reference EMA.
Additionally, operational filters can be applied based on the volatility of the currency pair, such as calculating the percentage change from the opening or incorporating a gap to the previous day's high levels. These filters help to anticipate or delay entry into the market, mitigating the risk of false breakouts.
In the specific case of NULS, a 9% Take-Profit and a 3% Stop-Loss were set, with an activated trailing-stop percentage. To postpone entry and avoid false breakouts, a 1% gap was added to the price of yesterday's highs.
Name : Yesterday's High Breakout - Trend Follower Strategy
Author : @tumiza999
Category : Trend Follower, Breakout of Yesterday's High.
Operating mode : Spot or Futures (only long).
Trade duration : Intraday.
Timeframe : 30M, 1H, 2H, 4H
Market : Crypto
Suggested usage : Short-term trading, when the market is in trend and it is showing high volatility.
Entry : When there is a breakout of Yesterday's High.
Exit : Profit target or Trailing stop, Stop loss or Crossunder EMA.
Configuration :
- Gap to anticipate or postpone the entry before or after the identified level
- Rate of Change for Entry Condition
- Take Profit, Stop Loss and Trailing Stop
- EMA length
Backtesting :
⁃ Exchange: BINANCE
⁃ Pair: NULSUSDT
⁃ Timeframe: 2H
⁃ Fee: 0.075%
⁃ Slippage: 1
- Initial Capital: 10000 USDT
- Position sizing: 10% of Equity
- Start : 2018-07-26 (Out Of Sample from 2022-12-23)
- Bar magnifier: on
Credits : LucF for Pine Coders (f_security function to avoid repainting using security)
Disclaimer : Risk Management is crucial, so adjust stop loss to your comfort level. A tight stop loss can help minimise potential losses. Use at your own risk.
How you or we can improve? Source code is open so share your ideas!
Leave a comment and smash the boost button!
Thanks for your attention, happy to support the TradingView community.
Correlation Trading StrategyEnglish description:
Title: Correlation Trading Strategy (CTS)
The Correlation Trading Strategy (CTS) is a unique approach that uses the Pearson correlation coefficient to identify potential trading opportunities between two cryptocurrency pairs. The strategy compares historical price data of two selected cryptocurrencies and calculates the degree of correlation between them.
Inputs:
Lookback Period: The time interval for calculating correlation (e.g., 30, 60, 90 days).
Timeframe Period: The timeframe for the historical price data (e.g., '5').
First Symbol: The first cryptocurrency symbol to compare (e.g., BTCUSD).
Second Symbol: The second cryptocurrency symbol to compare (e.g., ETHUSD).
Enter Long Threshold: The correlation threshold for entering a long position.
Exit Long Threshold: The correlation threshold for exiting a long position.
The strategy enters a long position when the correlation coefficient is equal to or higher than the Enter Long Threshold and exits the position when the correlation coefficient falls below the Exit Long Threshold. The Pearson correlation coefficient ranges from -1 (perfectly negatively correlated) to 1 (perfectly positively correlated), with 0 indicating no correlation. By adjusting the thresholds, traders can customize the strategy to suit their risk appetite and trading style.
Russian description:
Заголовок: Торговая стратегия на основе корреляции (CTS)
Торговая стратегия на основе корреляции (CTS) представляет собой уникальный подход, использующий коэффициент корреляции Пирсона для выявления потенциальных торговых возможностей между двумя парными криптовалютами. Стратегия сравнивает исторические данные о ценах двух выбранных криптовалют и рассчитывает степень корреляции между ними.
Входные параметры:
Период анализа: временной интервал для расчета корреляции (например, 30, 60, 90 дней).
Временной период: временной период для исторических данных о ценах (например, '5').
Первый символ: первый символ криптовалюты для сравнения (например, BTCUSD).
Второй символ: второй символ криптовалюты для сравнения (например, ETHUSD).
Порог для открытия длинной позиции: порог корреляции для открытия длинной позиции.
Порог для закрытия длинной позиции: порог корреляции для закрытия длинной позиции.
Стратегия открывает длинную позицию, когда коэффициент корреляции равен или выше порога для открытия длинной позиции, и закрывает позицию, когда коэффициент корреляции опускается ниже порога для закрытия длинной позиции
Advanced VWAP_Pullback Strategy_Trend-Template QualifierGeneral Description and Unique Features of this Script
Introducing the Advanced VWAP Momentum-Pullback Strategy (long-only) that offers several unique features:
1. Our script/strategy utilizes Mark Minervini's Trend-Template as a qualifier for identifying stocks and other financial securities in confirmed uptrends. Mark Minervini, a 2x US Investment Champion, developed the Trend-Template, which covers eight different and independent characteristics that can be adjusted and optimized in this trend-following strategy to ensure the best results. The strategy will only trigger buy-signals in case the optimized qualifiers are being met.
2. Our strategy is based on the supply/demand balance in the market, making it timeless and effective across all timeframes. Whether you are day trading using 1- or 5-min charts or swing-trading using daily charts, this strategy can be applied and works very well.
3. We have also integrated technical indicators such as the RSI and the MA / VWAP crossover into this strategy to identify low-risk pullback entries in the context of confirmed uptrends. By doing so, the risk profile of this strategy and drawdowns are being reduced to an absolute minimum.
Minervini’s Trend-Template and the ‘Stage-Analysis’ of the Markets
This strategy is a so-called 'long-only' strategy. This means that we only take long positions, short positions are not considered.
The best market environment for such strategies are periods of stable upward trends in the so-called stage 2 - uptrend.
In stable upward trends, we increase our market exposure and risk.
In sideways markets and downward trends or bear markets, we reduce our exposure very quickly or go 100% to cash and wait for the markets to recover and improve. This allows us to avoid major losses and drawdowns.
This simple rule gives us a significant advantage over most undisciplined traders and amateurs!
'The Trend is your Friend'. This is a very old but true quote.
What's behind it???
• 98% of stocks made their biggest gains in a Phase 2 upward trend.
• If a stock is in a stable uptrend, this is evidence that larger institutions are buying the stock sustainably.
• By focusing on stocks that are in a stable uptrend, the chances of profit are significantly increased.
• In a stable uptrend, investors know exactly what to expect from further price developments. This makes it possible to locate low-risk entry points.
The goal is not to buy at the lowest price – the goal is to buy at the right price!
Each stock goes through the same maturity cycle – it starts at stage 1 and ends at stage 4
Stage 1 – Neglect Phase – Consolidation
Stage 2 – Progressive Phase – Accumulation
Stage 3 – Topping Phase – Distribution
Stage 4 – Downtrend – Capitulation
This strategy focuses on identifying stocks in confirmed stage 2 uptrends. This in itself gives us an advantage over long-term investors and less professional traders.
By focusing on stocks in a stage 2 uptrend, we avoid losses in downtrends (stage 4) or less profitable consolidation phases (stages 1 and 3). We are fully invested and put our money to work for us, and we are fully invested when stocks are in their stage 2 uptrends.
But how can we use technical chart analysis to find stocks that are in a stable stage 2 uptrend?
Mark Minervini has developed the so-called 'trend template' for this purpose. This is an essential part of our JS-TechTrading pullback strategy. For our watchlists, only those individual values that meet the tough requirements of Minervini's trend template are eligible.
The Trend Template
• 200d MA increasing over a period of at least 1 month, better 4-5 months or longer
• 150d MA above 200d MA
• 50d MA above 150d MA and 200d MA
• Course above 50d MA, 150d MA and 200d MA
• Ideally, the 50d MA is increasing over at least 1 month
• Price at least 25% above the 52w low
• Price within 25% of 52w high
• High relative strength according to IBD.
NOTE: In this basic version of the script, the Trend-Template has to be used as a separate indicator on TradingView (Public Trend-Template indicators are available in TradingView – community scripts). It is recommended to only execute buy signals in case the stock or financial security is in a stage 2 uptrend, which means that the criteria of the trend-template are fulfilled.
This strategy can be applied to all timeframes from 5 min to daily.
The VWAP Momentum-Pullback Strategy
For the JS-TechTrading VWAP Momentum-Pullback Strategy, only stocks and other financial instruments that meet the selected criteria of Mark Minervini's trend template are recommended for algorithmic trading with this startegy.
A further prerequisite for generating a buy signals is that the individual value is in a short-term oversold state (RSI).
When the selling pressure is over and the continuation of the uptrend can be confirmed by the MA / VWAP crossover after reaching a price low, a buy signal is issued by this strategy.
Stop-loss limits and profit targets can be set variably. You also have the option to make use of the trailing stop exit strategy.
Relative Strength Index (RSI)
The Relative Strength Index (RSI) is a technical indicator developed by Welles Wilder in 1978. The RSI is used to perform a market value analysis and identify the strength of a trend as well as overbought and oversold conditions. The indicator is calculated on a scale from 0 to 100 and shows how much an asset has risen or fallen relative to its own price in recent periods.
The RSI is calculated as the ratio of average profits to average losses over a certain period of time. A high value of the RSI indicates an overbought situation, while a low value indicates an oversold situation. Typically, a value > 70 is considered an overbought threshold and a value < 30 is considered an oversold threshold. A value above 70 signals that a single value may be overvalued and a decrease in price is likely , while a value below 30 signals that a single value may be undervalued and an increase in price is likely.
For example, let's say you're watching a stock XYZ. After a prolonged falling movement, the RSI value of this stock has fallen to 26. This means that the stock is oversold and that it is time for a potential recovery. Therefore, a trader might decide to buy this stock in the hope that it will rise again soon.
The MA / VWAP Crossover Trading Strategy
This strategy combines two popular technical indicators: the Moving Average (MA) and the Volume Weighted Average Price (VWAP). The MA VWAP crossover strategy is used to identify potential trend reversals and entry/exit points in the market.
The VWAP is calculated by taking the average price of an asset for a given period, weighted by the volume traded at each price level. The MA, on the other hand, is calculated by taking the average price of an asset over a specified number of periods. When the MA crosses above the VWAP, it suggests that buying pressure is increasing, and it may be a good time to enter a long position. When the MA crosses below the VWAP, it suggests that selling pressure is increasing, and it may be a good time to exit a long position or enter a short position.
Traders typically use the MA VWAP crossover strategy in conjunction with other technical indicators and fundamental analysis to make more informed trading decisions. As with any trading strategy, it is important to carefully consider the risks and potential rewards before making any trades.
This strategy is applicable to all timeframes and the relevant parameters for the underlying indicators (RSI and MA/VWAP) can be adjusted and optimized as needed.
Backtesting
Backtesting gives outstanding results on all timeframes and drawdowns can be reduced to a minimum level. In this example, the hourly chart for MCFT has been used.
Settings for backtesting are:
- Period from Jan 2020 until March 2023
- Starting capital 100k USD
- Position size = 25% of equity
- 0.01% commission = USD 2.50.- per Trade
- Slippage = 2 ticks
Other comments
- This strategy has been designed to identify the most promising, highest probability entries and trades for each stock or other financial security.
- The combination of the Trend-Template and the RSI qualifiers results in a highly selective strategy which only considers the most promising swing-trading entries. As a result, you will normally only find a low number of trades for each stock or other financial security per year in case you apply this strategy for the daily charts. Shorter timeframes will result in a higher number of trades / year.
- Consequently, traders need to apply this strategy for a full watchlist rather than just one financial security.
JS-TechTrading: VWAP Momentum_Pullback StrategyGeneral Description and Unique Features of this Script
Introducing the VWAP Momentum-Pullback Strategy (long-only) that offers several unique features:
1. Our script/strategy utilizes Mark Minervini's Trend-Template as a qualifier for identifying stocks and other financial securities in confirmed uptrends.
NOTE: In this basic version of the script, the Trend-Template has to be used as a separate indicator on TradingView (Public Trend-Template indicators are available on TradingView – community scripts). It is recommended to only execute buy signals in case the stock or financial security is in a stage 2 uptrend, which means that the criteria of the trend-template are fulfilled.
2. Our strategy is based on the supply/demand balance in the market, making it timeless and effective across all timeframes. Whether you are day trading using 1- or 5-min charts or swing-trading using daily charts, this strategy can be applied and works very well.
3. We have also integrated technical indicators such as the RSI and the MA / VWAP crossover into this strategy to identify low-risk pullback entries in the context of confirmed uptrends. By doing so, the risk profile of this strategy and drawdowns are being reduced to an absolute minimum.
Minervini’s Trend-Template and the ‘Stage-Analysis’ of the Markets
This strategy is a so-called 'long-only' strategy. This means that we only take long positions, short positions are not considered.
The best market environment for such strategies are periods of stable upward trends in the so-called stage 2 - uptrend.
In stable upward trends, we increase our market exposure and risk.
In sideways markets and downward trends or bear markets, we reduce our exposure very quickly or go 100% to cash and wait for the markets to recover and improve. This allows us to avoid major losses and drawdowns.
This simple rule gives us a significant advantage over most undisciplined traders and amateurs!
'The Trend is your Friend'. This is a very old but true quote.
What's behind it???
• 98% of stocks made their biggest gains in a Phase 2 upward trend.
• If a stock is in a stable uptrend, this is evidence that larger institutions are buying the stock sustainably.
• By focusing on stocks that are in a stable uptrend, the chances of profit are significantly increased.
• In a stable uptrend, investors know exactly what to expect from further price developments. This makes it possible to locate low-risk entry points.
The goal is not to buy at the lowest price – the goal is to buy at the right price!
Each stock goes through the same maturity cycle – it starts at stage 1 and ends at stage 4
Stage 1 – Neglect Phase – Consolidation
Stage 2 – Progressive Phase – Accumulation
Stage 3 – Topping Phase – Distribution
Stage 4 – Downtrend – Capitulation
This strategy focuses on identifying stocks in confirmed stage 2 uptrends. This in itself gives us an advantage over long-term investors and less professional traders.
By focusing on stocks in a stage 2 uptrend, we avoid losses in downtrends (stage 4) or less profitable consolidation phases (stages 1 and 3). We are fully invested and put our money to work for us, and we are fully invested when stocks are in their stage 2 uptrends.
But how can we use technical chart analysis to find stocks that are in a stable stage 2 uptrend?
Mark Minervini has developed the so-called 'trend template' for this purpose. This is an essential part of our JS-TechTrading pullback strategy. For our watchlists, only those individual values that meet the tough requirements of Minervini's trend template are eligible.
The Trend Template
• 200d MA increasing over a period of at least 1 month, better 4-5 months or longer
• 150d MA above 200d MA
• 50d MA above 150d MA and 200d MA
• Course above 50d MA, 150d MA and 200d MA
• Ideally, the 50d MA is increasing over at least 1 month
• Price at least 25% above the 52w low
• Price within 25% of 52w high
• High relative strength according to IBD.
NOTE: In this basic version of the script, the Trend-Template has to be used as a separate indicator on TradingView (Public Trend-Template indicators are available in TradingView – community scripts). It is recommended to only execute buy signals in case the stock or financial security is in a stage 2 uptrend, which means that the criteria of the trend-template are fulfilled.
This strategy can be applied to all timeframes from 5 min to daily.
The VWAP Momentum-Pullback Strateg y
For the JS-TechTrading VWAP Momentum-Pullback Strategy, only stocks and other financial instruments that meet the selected criteria of Mark Minervini's trend template are recommended for algorithmic trading with this startegy.
A further prerequisite for generating a buy signals is that the individual value is in a short-term oversold state (RSI).
When the selling pressure is over and the continuation of the uptrend can be confirmed by the MA / VWAP crossover after reaching a price low, a buy signal is issued by this strategy.
Stop-loss limits and profit targets can be set variably.
Relative Strength Index (RSI)
The Relative Strength Index (RSI) is a technical indicator developed by Welles Wilder in 1978. The RSI is used to perform a market value analysis and identify the strength of a trend as well as overbought and oversold conditions. The indicator is calculated on a scale from 0 to 100 and shows how much an asset has risen or fallen relative to its own price in recent periods.
The RSI is calculated as the ratio of average profits to average losses over a certain period of time. A high value of the RSI indicates an overbought situation, while a low value indicates an oversold situation. Typically, a value > 70 is considered an overbought threshold and a value < 30 is considered an oversold threshold. A value above 70 signals that a single value may be overvalued and a decrease in price is likely , while a value below 30 signals that a single value may be undervalued and an increase in price is likely.
For example, let's say you're watching a stock XYZ. After a prolonged falling movement, the RSI value of this stock has fallen to 26. This means that the stock is oversold and that it is time for a potential recovery. Therefore, a trader might decide to buy this stock in the hope that it will rise again soon.
The MA / VWAP Crossover Trading Strategy
This strategy combines two popular technical indicators: the Moving Average (MA) and the Volume Weighted Average Price (VWAP). The MA VWAP crossover strategy is used to identify potential trend reversals and entry/exit points in the market.
The VWAP is calculated by taking the average price of an asset for a given period, weighted by the volume traded at each price level. The MA, on the other hand, is calculated by taking the average price of an asset over a specified number of periods. When the MA crosses above the VWAP, it suggests that buying pressure is increasing, and it may be a good time to enter a long position. When the MA crosses below the VWAP, it suggests that selling pressure is increasing, and it may be a good time to exit a long position or enter a short position.
Traders typically use the MA VWAP crossover strategy in conjunction with other technical indicators and fundamental analysis to make more informed trading decisions. As with any trading strategy, it is important to carefully consider the risks and potential rewards before making any trades.
This strategy is applicable to all timeframes and the relevant parameters for the underlying indicators (RSI and MA/VWAP) can be adjusted and optimized as needed.
Backtesting
Backtesting gives outstanding results on all timeframes and drawdowns can be reduced to a minimum level. In this example, the hourly chart for MCFT has been used.
Settings for backtesting are:
- Period from April 2020 until April 2021 (1 yr)
- Starting capital 100k USD
- Position size = 25% of equity
- 0.01% commission = USD 2.50.- per Trade
- Slippage = 2 ticks
Other comments
• This strategy has been designed to identify the most promising, highest probability entries and trades for each stock or other financial security.
• The RSI qualifier is highly selective and filters out the most promising swing-trading entries. As a result, you will normally only find a low number of trades for each stock or other financial security per year in case you apply this strategy for the daily charts. Shorter timeframes will result in a higher number of trades / year.
• As a result, traders need to apply this strategy for a full watchlist rather than just one financial security.
LeafAlgo Premium Macro StrategiesA "macro score", as defined here, is created by giving various weights to different signals and adding them together to get one smooth score. Positive or negative values are assigned to each of the signals depending on if the statement is true or false (e.g. DPO > 0: +1, DPO < 0: -1). This manner of strategy allows for a subset of the available signals to be present at one time as opposed to every technical signal having to be active in order for a long/short signal to trigger.
This strategy contains SIX different macro score strategies -- "Base DFMA", "Base DFMG", "Ichimoku", "TSI", "Donchian DFMA", and "Donchian DFMG". These strategies have the signals and weights pre-determined in the code. The "Base DFMA" strategy is based on our Democratic Fibonacci Moving Average (DFMA) indicator; the "Donchian DFMA" is the same as the base DFMA strategy, but with a signal from our Donchian Cloud Score indicator as added confluence. The "Base DFMG" strategy is based on our Democratic Fibonacci McGinley Dynamics (DFMG) indicator; the "Donchian DFMG" is the same, but with the Donchian Cloud Score as added confluence. The "Ichimoku" strategy is based on the major sub-indicators found within an Ichimoku Cloud in addition to our Donchian Cloud Score. The "TSI" strategy is based on the True Strength Index.
The ability to select your strategy of choice can be found at the top of the strategy settings under "Strategy Options", then in the drop-down menu labeled "Strategy Choice".
The DFMA - Democratic Fibonacci Moving Average - is a separate indicator that we have released that takes 10 different Fibonacci MAs (lengths of 3 to 233, at Fibonacci intervals) and averages them to form the DFMA line. This helps by creating a consensus on the trend based on moving averages alone. Crossovers of the DFMA with the various Fib MA lengths as well as a cross of the price source and these lines can provide adequate long and short signals. In the two DFMA strategies, the heaviest weights have been given to crosses of the DFMA line/Fib MA (233) as well as the crosses of the Fib MA (3)/DFMA. Additionally, there are thresholds for DPO ( Detrended Price Oscillator , above or below 0), CMO ( Chande Momentum Oscillator , above or below 0), Jurik Volatility Bands (above or below 0), and Stoch RSI (above or below 50). These four signals hold a lighter weight than the MA cross signals. The macro score itself ranges between -10 and 10. In addition to the macro score line, a momentum line (sourced by the macro score itself) has been included. A crossover/crossunder of the macro score and the macro momentum line is included into the long/short signal syntax in addition to a threshold for the macro score.
The DFMG - Democratic Fibonacci McGinley Dynamics - is a separate indicator that we have released that takes 10 different Fibonacci McGinley Dynamic liness (lengths of 3 to 233, at Fibonacci intervals) and averages them to form the DFMG line. This helps by creating a consensus on the trend based on moving averages alone. Crossovers of the DFMG with the various Fib MG lengths as well as a cross of the price source and these lines can provide adequate long and short signals. This strategy has the signals and weights pre-determined in the code. Heaviest weights have been given to crosses of the DFMG line/ McGinley (233) as well as the crosses of the McGinley (3)/DFMG. Additionally, there are thresholds for DPO ( Detrended Price Oscillator , above or below 0), CMO ( Chande Momentum Oscillator , above or below 0), Jurik Volatility Bands (above or below 0), and Stoch RSI (above or below 50). These four signals hold a lighter weight than the McGinley cross signals. The macro score itself ranges between -10 and 10. In addition to the macro score line, a momentum line (sourced by the macro score itself) has been included. A crossover/crossunder of the macro score and the macro momentum line is included into the long/short signal syntax in addition to a threshold for the macro score.
For the Ichimoku macro score, five signals were considered and weighted equally:
- Kijun-sen < Ichimoku Source
- Tenkan-sen < Ichimoku Source
- Kijun-sen > Chikou-span
- Tenkan-sen > Kijun-sen
- Senkou Span A > Senkou Span B
In addition to these factors, the Ichimoku strategy utilizes the Donchian Cloud Score in the long and short entry signals. Thus, the Donchian Cloud settings are applicable to this strategy.
For the True Strength Index strategy, the heaviest weights have been given to various TSI signals, including a crossover/crossunder of TSI signal and TSI value, a threshold for the TSI Signal (above or below 0), and a crossover/crossunder of the CMO ( Chande Momentum Oscillator ) and the TSI signal line. Additionally, there are thresholds for DPO ( Detrended Price Oscillator , above or below 0), Jurik Volatility Bands (above or below 0), and Stoch RSI (above or below 50). These three signals hold a lighter weight than the three TSI signals. The macro score itself ranges between -10 and 10. In addition to the macro score line, a momentum line (sourced by the macro score itself) has been included. A crossover/crossunder of the macro score and the macro momentum line is included into the long/short signal syntax in addition to a threshold for the macro score.
The Donchian Cloud Score is derived from a set of 5 Donchian channels (upper, lower, and basis plotted) defaulted to lengths of 25, 50, 100, 150, and 200. A set of conditions associated with the channels aims to determine ranging versus trending markets. Weights are given to these conditions accordingly, then tallied up to determine the "cloud score", ranging between -25 and 25. In general, a ranging market is determined by a cloud score between -10 and 10, while a positive trending market has a score higher than 10 and a negative trending market has a score lower than -10. That said, long and short thresholds similar to the macro score itself are included in the user settings and set to a default of 5 or -5. The cloud score is plotted as a line in the underlay with coloration reflecting ranging or trending markets (green color above the long threshold, gray between the thresholds, and red below the short threshold). The cloud score is incorporated into the strategy syntax for long and short positions in that the score must be above or below the set threshold for a trade to be placed. A breakdown for the Donchian scoring is as follows:
- Broke the 25-length DC (DC(25)) upper band in the previous 3 bars - +1 if true, 0 if false
- Broke the DC(50) upper band in the previous 3 bars - +2 if true, 0 if false
- Broke the DC(100) upper band in the previous 3 bars - +3 if true, 0 if false
- Broke the DC(150) upper band in the previous 3 bars - +4 if true, 0 if false
- Broke the DC(200) upper band in the previous 3 bars - +5 if true, 0 if false
- Broke the DC(25) lower band in the previous 3 bars - -1 if true, 0 if false
- Broke the DC(50) lower band in the previous 3 bars - -2 if true, 0 if false
- Broke the DC(100) lower band in the previous 3 bars - -3 if true, 0 if false
- Broke the DC(150) lower band in the previous 3 bars - -4 if true, 0 if false
- Broke the DC(200) lower band in the previous 3 bars - -5 if true, 0 if false
- DC(25) basis line above the DC(50) basis line - +1 if true, -1 if false
- DC(25) basis line above the DC(100) basis line - +1 if true, -1 if false
- DC(25)basis line above the DC(150) basis line - +1 if true, -1 if false
- DC(25) basis line above the DC(200) basis line - +1 if true, -1 if false
- DC(50) basis line above the DC(100) basis line - +1 if true, -1 if false
- DC(50) basis line above the DC(150) basis line - +1 if true, -1 if false
- DC(50) basis line above the DC(200) basis line - +1 if true, -1 if false
- DC(100) basis line above the DC(150) basis line - +1 if true, -1 if false
- DC(100) basis line above the DC(200) basis line - +1 if true, -1 if false
- DC(150) basis line above the DC(200) basis line - +1 if true, -1 if false
Thresholds for both the respective macro score and the Donchian Cloud score have been included. Entry signals for each strategy require the score to be >= the respective thresholds for longs and <= the respective thresholds for shorts.
Additionally, a normalized z-score has been included. The z-score does not affect the entry and exit signals, however, it is displayed on the chart in the form of bar coloration. The z-score has been normalized to a range of -1 to +1. A z-score under -0.60 is displayed as a red bar color, a score between -0.60 and -0.2 is displayed as an orange bar color, a score between -0.2 and 0.2 is displayed as a gray bar color, a score between 0.2 and 0.6 is displayed as a lime bar color, and a score over 0.6 is displayed in green.
Data for each respective strategy will be displayed in an overlaid table. This includes the factors that comprise the macro score of choice, the values of each signal that adds up to the macro score, the macro score itself, the value of the momentum line of the macro score, the normalized z-score value, and the Donchian Cloud score (if applicable). Green coloration notes bullish sentiment within the signals or values, gray coloration is neutral, and red coloration notes bearish sentiment.
Take profit, stop loss, and trailing percentages are also included, found at the bottom of the Input tab under “TT and TTP” as well as “Stop Loss”. The take profit and stop loss levels will be reflected as green and red lines respectively on the chart as they occur. Make sure to understand the TP/SL ratio that you desire before use, as the desired hit rate/profitability percentage will be affected accordingly. The option for adding in a trailing stop has also been included, with options to choose between an ATR-based trail or a percentage-based trail. This strategy does NOT guarantee future returns. Apply caution in trading regardless of discretionary or algorithmic. Understand the concepts of risk/reward and the intricacies of each strategy choice before utilizing them in your personal trading.
Profitview/Pineconnector Settings:
If you wish to utilize Profitview’s automation system, find the included “Profitview Settings” under the Input tab of the strategy settings menu. If not, skip this section entirely as it can be left blank. Options will be “OPEN LONG TITLE”, “OPEN SHORT TITLE”, “CLOSE LONG TITLE”, and “CLOSE SHORT TITLE”. If you wished to trade SOL, for example, you would put “SOL LONG”, “SOL SHORT”, “SOL CLOSE LONG”, and “SOL CLOSE SHORT” in these areas. Within your Profitview extension, ensure that your Alerts all match these titles. To set an alert for use with Profitview, go to the “Alerts” tab in TradingView, then create an alert. Make sure that your desired asset and timeframe are currently displayed on your screen when creating the alert. Under the “Condition” option of the alert, select the strategy, then select the expiration time. If using TradingView Premium, this can be open-ended. Otherwise, select your desired expiration time and date. This can be updated whenever desired to ensure the strategy does not expire. Under “Alert actions”, nothing necessarily needs to be selected unless so desired. Leave the “Alert name” option empty. For the “Message”, delete the generated message and replace it with {{strategy.order.alert_message}} and nothing else. If using Pineconnector, follow the same directions for setting up an alert, but use the ",buy,,risk=" syntax as noted in the tooltips.
Minervini Pullback Strategy_Trend-Template QualifierGeneral Description and Unique Features of this Script
Introducing the ultimate trend-following (long-only) strategy that offers a unique feature you won't find anywhere else!
1. Our script/strategy utilizes Mark Minervini's Trend-Template as a qualifier for identifying stocks and other financial securities in confirmed uptrends. Mark Minervini, a 3x US Investment Champion, developed the Trend-Template, which covers eight different and independent characteristics that can be adjusted and optimized in this trend-following strategy to ensure the best results. The strategy will only trigger buy-signals in case the optimized qualifiers are being met.
2. Our strategy is based on supply/demand balance in the market, making it timeless and effective across all timeframes. Whether you're day trading using 1- or 5-min charts or swing-trading using daily charts, this strategy can be applied and works very well.
3. We also incorporate technical indicators such as RSI and MACD to identify low-risk pullback entries in the context of confirmed uptrends. By doing so, the risk profile of this strategy and drawdowns are being reduced to an absolute minimum, giving you peace of mind while trading.
Minervini’s Trend-Template and the ‘Stage-Analysis’ of the Markets
This strategy is a so-called 'long-only' strategy. This means that we only take long positions, short positions are not considered.
The best market environment for such strategies are periods of stable upward trends in the so-called stage 2 - uptrend.
In stable upward trends, we increase our market exposure and risk.
In sideways markets and downward trends or bear markets, we reduce our exposure very quickly or go 100% to cash and wait for the markets to recover and improve. This allows us to avoid major losses and drawdowns.
This simple rule gives us a significant advantage over most undisciplined traders and amateurs!
'The Trend is your Friend'. This is a very old but true quote.
What's behind it???
• 98% of stocks made their biggest gains in a Phase 2 upward trend.
• If a stock is in a stable uptrend, this is evidence that larger institutions are buying the stock sustainably.
• By focusing on stocks that are in a stable uptrend, the chances of profit are significantly increased.
• In a stable uptrend, investors know exactly what to expect from further price developments. This makes it possible to locate low-risk entry points.
The goal is not to buy at the lowest price – the goal is to buy at the right price!
Each stock goes through the same maturity cycle – it starts at stage 1 and ends at stage 4
Stage 1 – Neglect Phase – Consolidation
Stage 2 – Progressive Phase – Accumulation
Stage 3 – Topping Phase – Distribution
Stage 4 – Downtrend – Capitulation
This strategy focuses on identifying stocks in confirmed stage 2 uptrends. This in itself gives us an advantage over long-term investors and less professional traders.
By focusing on stocks in a stage 2 uptrend, we avoid losses in downtrends (stage 4) or less profitable consolidation phases (stages 1 and 3). We are fully invested and put our money to work for us, and we are fully invested when stocks are in their stage 2 uptrends.
But how can we use technical chart analysis to find stocks that are in a stable stage 2 uptrend?
Mark Minervini has developed the so-called 'trend template' for this purpose. This is an essential part of our JS-TechTrading pullback strategy. For our watchlists, only those individual values that meet the tough requirements of Minervini's trend template are eligible.
The Trend Template
• 200d MA increasing over a period of at least 1 month, better 4-5 months or longer
• 150d MA above 200d MA
• 50d MA above 150d MA and 200d MA
• Course above 50d MA, 150d MA and 200d MA
• Ideally, the 50d MA is increasing over at least 1 month
• Price at least 25% above the 52w low
• Price within 25% of 52w high
• High relative strength according to IBD.
We have developed an algorythm (for TradingView) that uses Minervini’s trend template as a qualifier. This means that the strategy only generates trading signals in case the selected elements of the trend template are being met. The user is fully flexible to adjust the requirements of this Trend-Template qualifier:
This strategy is normally applied to the daily chart ideal for selecting individual stocks for trend-following strategies. Nevertheless, Minervini’s principles are timeless and this alogrithmic strategy with the Trend-Template qualifier can also be applied to any other timframe.
The qualifier #9 (RS-Ratings) can be modified and optimized in the strategy’s settings to fit your individual needs.
In general, it should be noted that ideally all 8/8 trend template criteria are met. Stocks or other securities that meet only some of these 8 criteria can also be very promising candidates for this strategy, provided that backtesting yields good results.
The Pullback Strategy
For the JS-TechTrading pullback strategy, only stocks and other financial instruments that meet the selected criteria of Mark Minervini's trend template are considered. If not, the strategy will not generate any signals.
Further prerequisites for generating a buy signal is that the individual value is in a short-term oversold state (RSI).
When the selling pressure is over and the continuation of the uptrend can be confirmed by the MACD after reaching a price low, a buy signal is issued by the pullback strategy.
Stop-loss limits and profit targets can be set variably.
Relative Strength Index (RSI)
The Relative Strength Index (RSI) is a technical indicator developed by Welles Wilder in 1978. The RSI is used to perform a market value analysis and identify the strength of a trend as well as overbought and oversold conditions. The indicator is calculated on a scale from 0 to 100 and shows how much an asset has risen or fallen relative to its own price in recent periods.
The RSI is calculated as the ratio of average profits to average losses over a certain period of time. A high value of the RSI indicates an overbought situation, while a low value indicates an oversold situation. Typically, a value > 70 is considered an overbought threshold and a value < 30 is considered an oversold threshold. A value above 70 signals that a single value may be overvalued and a decrease in price is likely , while a value below 30 signals that a single value may be undervalued and an increase in price is likely.
For example, let's say you're watching a stock XYZ. After a prolonged falling movement, the RSI value of this stock has fallen to 26. This means that the stock is oversold and that it is time for a potential recovery. Therefore, a trader might decide to buy this stock in the hope that it will rise again soon.
Moving Average Convergence Divergence (MACD)
The MACD (Moving Average Convergence Divergence) is a technical indicator used in both short-term and long-term trading strategies. The indicator was developed by Gerald Appel and is one of the most well-known indicators for the stock market.
The MACD consists of two lines calculated by the difference between two moving averages. The first line is a fast moving average that targets a short period of time. The second line is a slow moving average that targets a longer period of time. In addition, a trigger line is calculated, which consists of another moving average of the MACD line.
The MACD line is the difference between the fast and slow moving average.
The greater the difference between the two lines, the more likely a subsequent price increase. The lower the difference, the more likely a subsequent price drop is.
If the MACD line crosses upwards over the trigger line, this is a buy signal that signals a potential price increase. If the MACD line crosses down below the trigger line, this is a sell signal that signals a potential price weakening.
This strategy is applicable to all timeframes and the relevant parameters for the underlying indicators (RSI and MACD) can be adjusted and optimized as needed.
Backtesting
Backtesting give outstanding results on all timeframes and drawdowns can be reduced to a minimum level. Swing-Traders (daily charts) will see that the strategy does not give any buy signals during market corrections and bear markets.
Settings for backtesting are:
- Period from Jan 2000 until now
- Starting capital 100k USD
- Position size = 25% of equity
- 0.01% commission = USD 2.50.- per Trade
Other comments
• This strategy has been designed to identify the most promising, highest probability entries and trades for each stock or other financial security.
• The trend-template qualifier is highly selective and filters out the most promising swing-trading entries. As a result, you will normally only find a single-digit number of trades for each stock or other financial security per year in case you apply this strategy for the daily charts. Shorter timeframes will result in a higher number of trades / year.
• As a result, traders need to apply this strategy for a full watchlist rather than just one financial security.
Double Alligator x Donchian Cloud StrategyThis strategy is based on two sets of Williams Alligator indicators, taking crossovers and crossunders of the two pairs of lips as the main entry signal with confluence from the Donchian Cloud. The first Alligator used is set to the standard 13/8/5 lengths found in the standard indicator. The second Alligator is multiplied tenfold (10x) to 130/80/50 with the offset values also being multiplied. This second set is colored yellow, aqua, and purple for the jaw, teeth, and lips, respectively. A strategy similar to a moving average crossover can be created using these sets of Alligator indicators. While there are 6 lines in total, and can be used for discretionary matters outside of the strategy entry/exits, a cross of the lip pairs seems to yield the most optimal results. As a filter for these signals, we have introduced our Donchian Cloud Score code.
The Donchian Cloud Score is derived from a set of 5 Donchian channels (upper, lower, and basis plotted) defaulted to lengths of 25, 50, 100, 150, and 200. A set of conditions associated with the channels aims to determine ranging versus trending markets. Weights are given to these conditions accordingly, then tallied up to determine the "cloud score", ranging between -25 and 25. In general, a ranging market is determined by a cloud score between -10 and 10, while a positive trending market has a score higher than 10 and a negative trending market has a score lower than -10. That said, long and short thresholds similar to the macro score itself are included in the user settings and set to a default of 3 or -3. Trade frequency will increase the closer these numbers are to zero, however, the stronger (yet infrequent) signals come with values approaching +/- 10 or greater. The cloud score is plotted as a line in the underlay with coloration reflecting ranging or trending markets (green color above the long threshold, gray between the thresholds, and red below the short threshold). The cloud score is incorporated into the strategy syntax for long and short positions in that the score must be above or below the set threshold for a trade to be placed. A breakdown for the Donchian scoring is as follows:
- Broke the 25-length DC (DC(25)) upper band in the previous 3 bars - +1 if true, 0 if false
- Broke the DC(50) upper band in the previous 3 bars - +2 if true, 0 if false
- Broke the DC(100) upper band in the previous 3 bars - +3 if true, 0 if false
- Broke the DC(150) upper band in the previous 3 bars - +4 if true, 0 if false
- Broke the DC(200) upper band in the previous 3 bars - +5 if true, 0 if false
- Broke the DC(25) lower band in the previous 3 bars - -1 if true, 0 if false
- Broke the DC(50) lower band in the previous 3 bars - -2 if true, 0 if false
- Broke the DC(100) lower band in the previous 3 bars - -3 if true, 0 if false
- Broke the DC(150) lower band in the previous 3 bars - -4 if true, 0 if false
- Broke the DC(200) lower band in the previous 3 bars - -5 if true, 0 if false
- DC(25) basis line above the DC(50) basis line - +1 if true, -1 if false
- DC(25) basis line above the DC(100) basis line - +1 if true, -1 if false
- DC(25)basis line above the DC(150) basis line - +1 if true, -1 if false
- DC(25) basis line above the DC(200) basis line - +1 if true, -1 if false
- DC(50) basis line above the DC(100) basis line - +1 if true, -1 if false
- DC(50) basis line above the DC(150) basis line - +1 if true, -1 if false
- DC(50) basis line above the DC(200) basis line - +1 if true, -1 if false
- DC(100) basis line above the DC(150) basis line - +1 if true, -1 if false
- DC(100) basis line above the DC(200) basis line - +1 if true, -1 if false
- DC(150) basis line above the DC(200) basis line - +1 if true, -1 if false
Take profit, stop loss, and trailing percentages are also included, found at the bottom of the Input tab under “TT and TTP” as well as “Stop Loss”. Make sure to understand the TP/SL ratio that you desire before use, as the desired hit rate/profitability percentage will be affected accordingly. The option for adding in a trailing stop has also been included, with options to choose between an ATR-based trail or a percentage-based trail. This strategy does NOT guarantee future returns. Apply caution in trading regardless of discretionary or algorithmic. Understand the concepts of risk/reward and the intricacies of each strategy choice before utilizing them in your personal trading.
Profitview/Pineconnector Settings:
If you wish to utilize Profitview’s automation system, find the included “Profitview Settings” under the Input tab of the strategy settings menu. If not, skip this section entirely as it can be left blank. Options will be “OPEN LONG TITLE”, “OPEN SHORT TITLE”, “CLOSE LONG TITLE”, and “CLOSE SHORT TITLE”. If you wished to trade SOL, for example, you would put “SOL LONG”, “SOL SHORT”, “SOL CLOSE LONG”, and “SOL CLOSE SHORT” in these areas. Within your Profitview extension, ensure that your Alerts all match these titles. To set an alert for use with Profitview, go to the “Alerts” tab in TradingView, then create an alert. Make sure that your desired asset and timeframe are currently displayed on your screen when creating the alert. Under the “Condition” option of the alert, select the strategy, then select the expiration time. If using TradingView Premium, this can be open-ended. Otherwise, select your desired expiration time and date. This can be updated whenever desired to ensure the strategy does not expire. Under “Alert actions”, nothing necessarily needs to be selected unless so desired. Leave the “Alert name” option empty. For the “Message”, delete the generated message and replace it with {{strategy.order.alert_message}} and nothing else. If using Pineconnector, follow the same directions for setting up an alert, but use the ",buy,,risk=" syntax as noted in the tooltips.
Macro Score (DFMA) and Donchian Cloud Score StrategyA "macro score", as defined here, is created by giving various weights to different signals and adding them together to get one smooth score. Positive or negative values are assigned to each of the signals depending on if the statement is true or false (e.g. DPO > 0: +1, DPO < 0: -1). This manner of strategy allows for a subset of the available signals to be present at one time as opposed to every technical signal having to be active in order for a long/short signal to trigger.
The DFMA - Democratic Fibonacci Moving Average - is a separate indicator that we have released that takes 10 different Fibonacci MAs (lengths of 3 to 233, at Fibonacci intervals) and averages them to form the DFMA line. This helps by creating a consensus on the trend based on moving averages alone. Crossovers of the DFMA with the various Fib MA lengths as well as a cross of the price source and these lines can provide adequate long and short signals.
This strategy has the signals and weights pre-determined in the code. Heaviest weights have been given to crosses of the DFMA line/Fib MA (233) as well as the crosses of the Fib MA (3)/DFMA. Additionally, there are thresholds for DPO ( Detrended Price Oscillator , above or below 0), CMO ( Chande Momentum Oscillator , above or below 0), Jurik Volatility Bands (above or below 0), and Stoch RSI (above or below 50). These four signals hold a lighter weight than the MA cross signals.
The macro score itself is printed in an underlay as a white line that goes between -10 and 10 for this strategy. In addition to the macro score line, a blue momentum line (sourced by the macro score itself) has been included. A crossover/crossunder of the macro score and the macro momentum line is included into the long/short signal syntax in addition to a threshold for the macro score. Long and short thresholds can be determined by the user in the settings menu.
The Donchian Cloud Score is derived from a set of 5 Donchian channels (upper, lower, and basis plotted) defaulted to lengths of 25, 50, 100, 150, and 200. A set of conditions associated with the channels aims to determine ranging versus trending markets. Weights are given to these conditions accordingly, then tallied up to determine the "cloud score", ranging between -25 and 25. In general, a ranging market is determined by a cloud score between -10 and 10, while a positive trending market has a score higher than 10 and a negative trending market has a score lower than -10. That said, long and short thresholds similar to the macro score itself are included in the user settings and set to a default of 5 or -5. The cloud score is plotted as a line in the underlay with coloration reflecting ranging or trending markets (green color above the long threshold, gray between the thresholds, and red below the short threshold). The cloud score is incorporated into the strategy syntax for long and short positions in that the score must be above or below the set threshold for a trade to be placed. A breakdown for the Donchian scoring is as follows:
- Broke the 25-length DC (DC(25)) upper band in the previous 3 bars - +1 if true, 0 if false
- Broke the DC(50) upper band in the previous 3 bars - +2 if true, 0 if false
- Broke the DC(100) upper band in the previous 3 bars - +3 if true, 0 if false
- Broke the DC(150) upper band in the previous 3 bars - +4 if true, 0 if false
- Broke the DC(200) upper band in the previous 3 bars - +5 if true, 0 if false
- Broke the DC(25) lower band in the previous 3 bars - -1 if true, 0 if false
- Broke the DC(50) lower band in the previous 3 bars - -2 if true, 0 if false
- Broke the DC(100) lower band in the previous 3 bars - -3 if true, 0 if false
- Broke the DC(150) lower band in the previous 3 bars - -4 if true, 0 if false
- Broke the DC(200) lower band in the previous 3 bars - -5 if true, 0 if false
- DC(25) basis line above the DC(50) basis line - +1 if true, -1 if false
- DC(25) basis line above the DC(100) basis line - +1 if true, -1 if false
- DC(25)basis line above the DC(150) basis line - +1 if true, -1 if false
- DC(25) basis line above the DC(200) basis line - +1 if true, -1 if false
- DC(50) basis line above the DC(100) basis line - +1 if true, -1 if false
- DC(50) basis line above the DC(150) basis line - +1 if true, -1 if false
- DC(50) basis line above the DC(200) basis line - +1 if true, -1 if false
- DC(100) basis line above the DC(150) basis line - +1 if true, -1 if false
- DC(100) basis line above the DC(200) basis line - +1 if true, -1 if false
- DC(150) basis line above the DC(200) basis line - +1 if true, -1 if false
Take profit, stop loss, and trailing percentages are also included, found at the bottom of the Input tab under “TT and TTP” as well as “Stop Loss”. Make sure to understand the TP/SL ratio that you desire before use, as the desired hit rate/profitability percentage will be affected accordingly. The option for adding in a trailing stop has also been included, with options to choose between an ATR-based trail or a percentage-based trail. This strategy does NOT guarantee future returns. Apply caution in trading regardless of discretionary or algorithmic. Understand the concepts of risk/reward and the intricacies of each strategy choice before utilizing them in your personal trading.
Profitview/Pineconnector Settings:
If you wish to utilize Profitview’s automation system, find the included “Profitview Settings” under the Input tab of the strategy settings menu. If not, skip this section entirely as it can be left blank. Options will be “OPEN LONG TITLE”, “OPEN SHORT TITLE”, “CLOSE LONG TITLE”, and “CLOSE SHORT TITLE”. If you wished to trade SOL, for example, you would put “SOL LONG”, “SOL SHORT”, “SOL CLOSE LONG”, and “SOL CLOSE SHORT” in these areas. Within your Profitview extension, ensure that your Alerts all match these titles. To set an alert for use with Profitview, go to the “Alerts” tab in TradingView, then create an alert. Make sure that your desired asset and timeframe are currently displayed on your screen when creating the alert. Under the “Condition” option of the alert, select the strategy, then select the expiration time. If using TradingView Premium, this can be open-ended. Otherwise, select your desired expiration time and date. This can be updated whenever desired to ensure the strategy does not expire. Under “Alert actions”, nothing necessarily needs to be selected unless so desired. Leave the “Alert name” option empty. For the “Message”, delete the generated message and replace it with {{strategy.order.alert_message}} and nothing else. If using Pineconnector, follow the same directions for setting up an alert, but use the ",buy,,risk=" syntax as noted in the tooltips.
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
Macro Score - Dem. Fib. McGinley DynamicsA "macro score", as defined here, is created by giving various weights to different signals and adding them together to get one smooth score. Positive or negative values are assigned to each of the signals depending on if the statement is true or false (e.g. DPO > 0: +1, DPO < 0: -1). This manner of strategy allows for a subset of the available signals to be present at one time as opposed to every technical signal having to be active in order for a long/short signal to trigger.
The DFMG - Democratic Fibonacci McGinley Dynamic - is a separate indicator that we have released that takes 10 different Fibonacci McGinley Dynamics (lengths of 3 to 233, at Fibonacci intervals) and averages them to form the DFMG line. This helps by creating a consensus on the trend based on these dynamic lines alone. Crossovers of the DFMG with the various McGinley lengths as well as a cross of the price source and these lines can provide adequate long and short signals.
This strategy has the signals and weights pre-determined in the code. Heaviest weights have been given to crosses of the DFMG line/McGinley(233) as well as the crosses of the McGinley(3)/DFMG. Additionally, there are thresholds for DPO ( Detrended Price Oscillator , above or below 0), CMO ( Chande Momentum Oscillator , above or below 0), Jurik Volatility Bands (above or below 0), and Stoch RSI (above or below 50). These four signals hold a lighter weight than the McGinley cross signals.
The macro score itself is printed in an underlay as a white line that goes between -10 and 10 for this strategy. In addition to the macro score line, a green momentum line (sourced by the macro score itself) has been included. A crossover/crossunder of the macro score and the macro momentum line is included into the long/short signal syntax in addition to long and short thresholds for the macro score, defaulted to 5 and -5 respectively.
Take profit, stop loss, and trailing percentages are also included, found at the bottom of the Input tab under “TT and TTP” as well as “Stop Loss”. Make sure to understand the TP/SL ratio that you desire before use, as the desired hit rate/profitability percentage will be affected accordingly. The option for adding in a trailing stop has also been included, with options to choose between an ATR-based trail or a percentage-based trail.
This strategy does NOT guarantee future returns. Apply caution in trading regardless of discretionary or algorithmic. Understand the concepts of risk/reward and the intricacies of each strategy choice before utilizing them in your personal trading.
Profitview/Pineconnector Settings:
If you wish to utilize Profitview’s automation system, find the included “Profitview Settings” under the Input tab of the strategy settings menu. If not, skip this section entirely as it can be left blank. Options will be “OPEN LONG TITLE”, “OPEN SHORT TITLE”, “CLOSE LONG TITLE”, and “CLOSE SHORT TITLE”. If you wished to trade SOL, for example, you would put “SOL LONG”, “SOL SHORT”, “SOL CLOSE LONG”, and “SOL CLOSE SHORT” in these areas. Within your Profitview extension, ensure that your Alerts all match these titles. To set an alert for use with Profitview, go to the “Alerts” tab in TradingView, then create an alert. Make sure that your desired asset and timeframe are currently displayed on your screen when creating the alert. Under the “Condition” option of the alert, select the strategy, then select the expiration time. If using TradingView Premium, this can be open-ended. Otherwise, select your desired expiration time and date. This can be updated whenever desired to ensure the strategy does not expire. Under “Alert actions”, nothing necessarily needs to be selected unless so desired. Leave the “Alert name” option empty. For the “Message”, delete the generated message and replace it with {{strategy.order.alert_message}} and nothing else. If using Pineconnector, follow the same directions for setting up an alert, but use the " ,buy, ,risk=" syntax as noted in the tooltips.
Default Properties for AVAX 20M:
DPO - 35 , uncentered
CMO - 25, open
K/D - 3/3
RSI Stoch Length - 3
Stoch Length - 4
Stoch Source - open
JVB Length - 14
JVB Smoothing - 2
DFMG source - close
Macro Length - 14
TP % - 1.5%
TTP % - 0.005%
SL % - 1.8%, no trail
APIBridge support and resistance strategy for NSE OptionsStrategy Premise:
The strategy works on the Support and Resistance . The user specifies the trigger price and the strategy will open trades as soon as the market closes after crossing the trigger price. The stoploss and target is compulsory and the trades will close if either the target or stoploss is hit or Intraday end session is reached in case of MIS (Intraday settings) or expiry is reached .
If the positional settings (NRML) has been chosen then the trades will close when either stoploss or target hits or expiry is reached
==========Consecutive trades==========
The strategy takes a long entry on call long put short setting and a short position on put long and call short settings so call long and put short entries can be taken one after another without the need of closing the one of them. Similarly put long and call short can be taken one after another.
But put long and call short can not be taken one after another with both the trades open because on tradingview closes the previous long or short when we take short or long respectively. Similarly call long and put short can not be taken one after another with both the trades open
Create Alert
Simply copy the text written in Alert Message field on the top of input section and replace everything in the message box of the alert with this text
Strategy Parameters
1. Alert Message : Copy the string in the input field and replace with the text in the message box of the alert to get the automated trades
2. Use Backtesting : Check this box to use the backtesting parameters . The backtesting parameters will only show trades between the specified intervals
3. Starting Date and Time : The strategy will only place trades after this time according to logic
4. Ending Date and Time : The strategy willonly place trades before this time according to logic
5. Segment Type : Choose the segment type . MIS is Intraday and NRML is normal cash and carry/Positional
6. Start Session : This is the session in which the strategy will take entry according to logic every day . This parameter works only with MIS and not NRML
7. Ending Session : This is the session which will square off all the open trades . This parameter works only with MIS and not NRML
8. Long : Check this box for Long/Buy Positions
9. Long Price : This is the trigger price , the strategy will Long/Buy when the price closes after crossing this line.
10. Call or Put on Long : Choose whether you want to Long/Buy Call or Put
11. Stoploss and Target type for Long : Choose from the given types
12. Long Target : specify the target
13. Stoploss Value for Long : Specify the stoploss value
14. Use TSL : Check this to use trailing stoploss
15. ATR settings : Set the atr settings to use atr based stoploss
16. Short : Check this to Short/Sell
17. Short Price : This is the trigger price , the strategy will Long/Buy when the price closes after crossing this line.
18. Call or Put on Short: Choose whether you want to Long/Buy Call or Put
19. Stoploss and Target type for Short: Choose from the given types
20. Short Target : specify the target
21. Stoploss Value for Short: Specify the stoploss value
22. Use TSL : Check this to use trailing stoploss
23. ATR settings : Set the atr settings to use atr based stoploss
24. Instrument Type : Choose the option type
25. Expiry Settings : Configure the expiry date . the strategy will not take entry after expiry
26. Symbol : Specify Symbol name if want to trade in symbol other than current chart symbol
27. Strike Type/Money Type : select the money type
28. Strike Difference : Enter the difference between the two consecutive strikes of the choosen asset
29. Strike Distance from ATM : Enter the distance of strike from ATM which you want to buy in any strike type/money type . If zero has been choosen in case of OTM/ ITM then the strike dif will used as default
30. Quantity : Specify the number of lots you want to trade
31. Strategy Tag : Specify the strategy tag you wan to use with APIBRIDGE . If left blank it will trade in the strategy tag fed in the APIBRIDGE
Super 8 - 30M BTCWelcome to Super 8, the ultimate automatic trading script for Pine!
This bad boy is designed to go both long and short, and it's equipped with all the tools you need to maximize your profits. Whether you're looking to take profit, set a trailing stop, or protect yourself with a stop loss, Super 8 has you covered.
But that's not all! Super 8 is also loaded with 8 powerful indicators to help you make informed decisions. We've got the EMA, ADX, SAR, MACD, VOLUME, BOLLINGER BANDS, DONCHIAN, and ATR all working together to give you the best possible trading experience.
And if you want to take it to the next level, Super 8 also has a feature that lets you use stepped entries in normal mode or incremental 1,2,3,... to improve your average price. Plus, if you're using trailing stop, you can activate the Backtest precision to use lower timeframes.
But what's in a name? Super 8 is called that because it's just that... super! It's tailored specifically for the OKX:BTCUSDT.P pair, so you know you're getting the best possible results. it's highly adjustable and can be used with any other pair. So no matter what market you're trading in, Super 8 has got you covered.
So if you want to level up your trading game, give Super 8 a try. You won't be disappointed.
Certain Risks of Live Algorithmic Trading:
Backtesting Cannot Assure Actual Results.
The relevant market might fail or behave unexpectedly.
Your broker may experience failures in its infrastructure, fail to execute your orders in a correct or timely fashion or reject your orders.
The system you use for generating trading orders, communicating those orders to your broker, and receiving queries and trading results from your broker may fail.
Time lag at various point in live trading might cause unexpected behavior.
The systems of third parties in addition to those of the provider from which we obtain various services, your broker, and the applicable securities market may fail or malfunction.
Macro Score - DFMA-BasedA "macro score", as defined here, is created by giving various weights to different signals and adding them together to get one smooth score. Positive or negative values are assigned to each of the signals depending on if the statement is true or false (e.g. DPO > 0: +1, DPO < 0: -1). This manner of strategy allows for a subset of the available signals to be present at one time as opposed to every technical signal having to be active in order for a long/short signal to trigger.
The DFMA - Democratic Fibonacci Moving Average - is a separate indicator that we have released that takes 10 different Fibonacci MAs (lengths of 3 to 233, at Fibonacci intervals) and averages them to form the DFMA line. This helps by creating a consensus on the trend based on moving averages alone. Crossovers of the DFMA with the various Fib MA lengths as well as a cross of the price source and these lines can provide adequate long and short signals.
This strategy has the signals and weights pre-determined in the code. Heaviest weights have been given to crosses of the DFMA line/Fib MA (233) as well as the crosses of the Fib MA (3)/DFMA. Additionally, there are thresholds for DPO ( Detrended Price Oscillator , above or below 0), CMO ( Chande Momentum Oscillator , above or below 0), Jurik Volatility Bands (above or below 0), and Stoch RSI (above or below 50). These foursignals hold a lighter weight than the MA cross signals.
The macro score itself is printed in an underlay as a white line that goes between -10 and 10 for this strategy. In addition to the macro score line, a blue momentum line (sourced by the macro score itself) has been included. A crossover/crossunder of the macro score and the macro momentum line is included into the long/short signal syntax in addition to a threshold for the macro score (-5/5).
Take profit, stop loss, and trailing percentages are also included, found at the bottom of the Input tab under “TT and TTP” as well as “Stop Loss”. Make sure to understand the TP/SL ratio that you desire before use, as the desired hit rate/profitability percentage will be affected accordingly. This strategy does NOT guarantee future returns. Apply caution in trading regardless of discretionary or algorithmic. Understand the concepts of risk/reward and the intricacies of each strategy choice before utilizing them in your personal trading.
Profitview Settings:
If you wish to utilize Profitview’s automation system, find the included “Profitview Settings” under the Input tab of the strategy settings menu. If not, skip this section entirely as it can be left blank. Options will be “OPEN LONG TITLE”, “OPEN SHORT TITLE”, “CLOSE LONG TITLE”, and “CLOSE SHORT TITLE”. If you wished to trade SOL, for example, you would put “SOL LONG”, “SOL SHORT”, “SOL CLOSE LONG”, and “SOL CLOSE SHORT” in these areas. Within your Profitview extension, ensure that your Alerts all match these titles. To set an alert for use with Profitview, go to the “Alerts” tab in TradingView, then create an alert. Make sure that your desired asset and timeframe are currently displayed on your screen when creating the alert. Under the “Condition” option of the alert, select the strategy, then select the expiration time. If using TradingView Premium, this can be open-ended. Otherwise, select your desired expiration time and date. This can be updated whenever desired to ensure the strategy does not expire. Under “Alert actions”, nothing necessarily needs to be selected unless so desired. Leave the “Alert name” option empty. For the “Message”, delete the generated message and replace it with {{strategy.order.alert_message}} and nothing else.
Default Properties, for AVAX 20M:
DPO - 40, uncentered
CMO - 25, open
K/D - 3/3
RSI Stoch Length - 3
Stoch Length - 4
Stoch Source - open
JVB Length - 25
JVB Smoothing - 2
DFMA source - close
Macro Length - 13
TP % - 1.5%
TTP % - 0.005%
SL % - 2%
[SPOILED]SteadyScalpyHi Traders,
This is my testing strategy which implemented Trading View's trailing stop loss feature. This strategy mainly focus on ETH/USDT perp contract15 minutes timeframe, backtest capital is set to 1000 USDT, 10% equity, 0.04% commission, limited backtest date from Jan 2022 to now, result as shown below. I have faith in this strategy, but still please use only a small amount of money to test, like 5-10% of your total capital.
The strategy contains a couple modules, entry module, trend filter module, take profit, and stop loss module.
How to use:
Stoch RSI:
5 MA types were provided which is HMA / VWMA / WMA / EMA / SMA , HMA with Length setting of 5, 8 seems to be most efficient. VWMA and WMA with 8, 13 will generate less entry signals but with less entry risks.
Price Step:
This is the core feature of this strategy and it is based on Demark9 and price action. With Step 1&2 enabled, it will generate more entry signals. signals can be filtered by trend magic. if disable this option, Stoch RSI will be the only entry signal left in this strategy.
Trend Magic:
Trend Magic uses CCI and ATR to calculate trend status; green means uptrend, red means downtrend, pretty straight forward; the best value for this indicator would be, 21, 34, 55, 89. Only long allow when trend magic turns green and vice versa.
Take Profit and Stop Loss:
The default value for TP is set to 0.4%. Once the price hits 0.4%, it begins trailing; once the price drawdown 0.01%, it will close trade. The orange line indicates the ATR trailing take profit; once 'close' crosses ATR, it will exit the trade immediately. I also added a failsafe as a final stop loss, when price movement exceeds threshold (default 1%), it will exit trade no matter what.
Enjoy :)
Extended Recursive Bands StrategyThe original indicator was created by alexgrover .
All credit goes to alexgrover for creating the indicator that this strategy uses.
This strategy was posted because there were multiple requests for it, and no strategy based on this indicator exists yet.
The Recursive Bands Indicator, an indicator specially created to be extremely efficient, I think you already know that calculation time is extra important in algorithmic trading, and this is the principal motivation for the creation of the proposed indicator. Originally described in Alex's paper "Pierrefeu, Alex (2019): Recursive Bands - A New Indicator For Technical Analysis", the indicator framework has been widely used in his previous uploaded indicators, however it would have been a shame to not upload it, however user experience being a major concern for me, I decided to add extra options, which explain the term "extended".
The Indicator
The indicator displays one upper and one lower band, every common usages applied to bands indicators such as support/resistance , breakout, trailing stop, etc, can also be applied to this one. Length controls how reactive the bands are, higher values will make the bands cross the price less often.
In order to provide more flexibility for the user alexgrover added the option to use various methods for the calculation of the indicator, therefore the indicator can use the average true range , standard deviation, average high-low range, and one totally exclusive method specially designed for this indicator.
Added logic:
We have implemented a logic that checks whether the bands have been following in the same direction for a set amount of bars. This logic must be true before it can enter trades. This is completely new code that was written by us entirely, and it makes a huge difference on strategy performance.
Strategy Long conditions:
1 — Price low is below the the lower band.
2 — The lower band keeps increasing in value until the 'lookback' setting amount of bars is reached.
Strategy Short conditions:
1 — Price high is above the upper band.
2 — The upper band keeps decreasing in value until the 'lookback' setting amount of bars is reached.
Strategy Properties:
We have set a default commission of 0.06% because these are Bybit's fees. The strategy uses an order size of 10% of equity, since drawdown is very low like this. We also use a 10 tick slippage to keep results realistic and account for this. All other settings were left as default apart from initial capital, just to decrease the size of the numbers.
Macro Score -- User-Customized Scores and SignalsA "macro score", as defined here, is created by giving various weights to different signals and adding them together to get one smooth score. Positive or negative values are assigned to each of the signals depending on if the statement is true or false (e.g. DPO > 0: +1, DPO < 0: -1). This manner of strategy allows for a subset of the available signals to be present at one time as opposed to every technical signal having to be active in order for a long/short signal to trigger. This particular strategy allows the user to choose between 18 different signals to be used in scoring as well as allowing the user to determine the individual weights of each score as well as the overall threshold to determine long or short signals. Weights for each score range between 1 and 5, with 5 being the greatest weight. The overall threshold for long or short is dependent on the total possible weights added together (i.e. if your weights total -10 or +10, a threshold within this range must be used).
The macro score itself is printed in an underlay as a white line that goes between the maximum positive and negative values for all weights added together for this strategy. In addition to the macro score line, a green momentum line (sourced by the macro score itself) has been included. A crossover/crossunder of the macro score and the macro momentum line is included into the long/short signal syntax in addition to a threshold for the macro score. The length of the Macro Score's momentum line can be found in the settings.
The current signals to choose from include:
- ADX Threshold - if the Average Directional Index is above a set threshold, signal positive or negative
- CMF Threshold - if the Chaikin Money Flow oscillator is above 0, signal positive; otherwise, signal negative
- CMO > TSI Signal - signal positive if there is a cross of the Chande Momentum Oscillator and the True Strength Index signal line
- CMO Threshold - if the Chande Momentum Oscillator is above 0, signal positive; otherwise, signal negative
- DPO Threshold - if the Detrended Price Oscillator is above 0, signal positive; otherwise, signal negative
- EOM Threshold - if the Ease of Money Oscillator is above 0, signal positive; otherwise, signal negative
- Jurik Threshold - if the Jurik price line (from the Jurik Volatility Bands) is above 0, signal positive; otherwise, signal negative
- MACD Threshold - if the MACD signal line is above 0, signal positive; otherwise, signal negative
- McGinley Cross - a crossover of a fast McGinley Dynamic length line and a slow McGinley Dynamic line signals positive; otherwise, signal negative
- PSAR - if the direction of the PSAR is heading long, signal positive; otherwise, signal negative
- ROC Threshold - if the Rate of Change oscillator is above 0, signal positive; otherwise, signal negative
- RSI Threshold - if the Relative Strength Index is above 50, signal positive; otherwise, signal negative
- Stoch RSI Threshold - if the Stoch RSI is above 50, signal positive; otherwise, signal negative
- Supertrend - if the Supertrend determines long, signal positive; otherwise, signal negative
- TSI Cross - a crossover of the True Strength Index value line and the TSI signal line signals positive; otherwise, signal negative
- TSI Signal Threshold - if the TSI signal line is above 0, signal positive; otherwise, signal negative
- Williams Alligator Cross - if the Williams Alligator lips cross the teeth and jaw, signal positive; otherwise, signal negative
- Williams %R - if the Williams %R is above -50, signal positive; otherwise, signal negative
Take profit, stop loss, and trailing percentages are also included, found at the bottom of the Input tab under “TT and TTP” as well as “Stop Loss”. Make sure to understand the TP/SL ratio that you desire before use, as the desired hit rate/profitability percentage will be affected accordingly. This strategy does NOT guarantee future returns. Apply caution in trading regardless of discretionary or algorithmic. Understand the concepts of risk/reward and the intricacies of each strategy choice before utilizing them in your personal trading.
Profitview Settings:
If you wish to utilize Profitview’s automation system, find the included “Profitview Settings” under the Input tab of the strategy settings menu. If not, skip this section entirely as it can be left blank. Options will be “OPEN LONG TITLE”, “OPEN SHORT TITLE”, “CLOSE LONG TITLE”, and “CLOSE SHORT TITLE”. If you wished to trade SOL, for example, you would put “SOL LONG”, “SOL SHORT”, “SOL CLOSE LONG”, and “SOL CLOSE SHORT” in these areas. Within your Profitview extension, ensure that your Alerts all match these titles. To set an alert for use with Profitview, go to the “Alerts” tab in TradingView, then create an alert. Make sure that your desired asset and timeframe are currently displayed on your screen when creating the alert. Under the “Condition” option of the alert, select the strategy, then select the expiration time. If using TradingView Premium, this can be open-ended. Otherwise, select your desired expiration time and date. This can be updated whenever desired to ensure the strategy does not expire. Under “Alert actions”, nothing necessarily needs to be selected unless so desired. Leave the “Alert name” option empty. For the “Message”, delete the generated message and replace it with {{strategy.order.alert_message}} and nothing else.
Sample setup for SOLUSDT 30M:
- Score 1 - Value 4, PSAR (0.05 start, 0.02 increment, 0.2 max value; sourced open)
- Score 2 - Value 4, Jurik Threshold (JVB Length 25, JVB Smoothing 6, JVB Price Threshold 0)
- Score 3 - Value 5, DPO Threshold (DPO Length 40, uncentered)
- Score 4 - Value 5, CMO Threshold (CMO Length 40, sourced open)
- Score 5 - Value 2, MACD Threshold (Fast Length 12, Slow Length 30, sourced open)
- Macro Length 21
- Long Threshold - -3
- Short Threshold - +3
- Take Profit % - 0.9/0.9
- Trail % - 0.005
- Stop Loss % - 1.4
Sample setup for AVAXUSDT 20M:
- Score 1 - Value 3, TSI Cross (Long Length 25, Short Length 16, Signal Length 17)
- Score 2 - Value 2, TSI Signal Threshold (same settings as the TSI Cross)
- Score 3 - Value 2, Jurik Threshold (JVB Length 20, JVB Smoothing 8, JVB Price Threshold 0)
- Score 4 - Value 2, DPO Threshold (DPO Length 40, uncentered)
- Score 5 - Value 1, Stoch Threshold (K/D 3, RSI (Stoch) Length 10, Stochastic Length 4, sourced open)
- Macro Length 13
- Long Threshold - +5
- Short Threshold - -5
- Take Profit % - 1.2/1.2
- Trail % - 0.005
- Stop Loss % - 1.5
Macro Score - TSI-BasedA "macro score", as defined here, is created by giving various weights to different signals and adding them together to get one smooth score. Positive or negative values are assigned to each of the signals depending on if the statement is true or false (e.g. DPO > 0: +1, DPO < 0: -1). This manner of strategy allows for a subset of the available signals to be present at one time as opposed to every technical signal having to be active in order for a long/short signal to trigger.
This strategy has the signals and weights pre-determined in the code. Heaviest weights have been given to various TSI (True Strength Index) signals, including a crossover/crossunder of TSI signal and TSI value, a threshold for the TSI Signal (above or below 0), and a crossover/crossunder of the CMO (Chande Momentum Oscillator) and the TSI signal line. Additionally, there are thresholds for DPO (Detrended Price Oscillator, above or below 0), Jurik Volatility Bands (above or below 0), and Stoch RSI (above or below 50). These three signals hold a lighter weight than the three TSI signals.
The macro score itself is printed in an underlay as a white line that goes between -10 and 10 for this strategy. In addition to the macro score line, a red momentum line (sourced by the macro score itself) has been included. A crossover/crossunder of the macro score and the macro momentum line is included into the long/short signal syntax in addition to a threshold for the macro score (-6/6).
Take profit, stop loss, and trailing percentages are also included, found at the bottom of the Input tab under “TT and TTP” as well as “Stop Loss”. Make sure to understand the TP/SL ratio that you desire before use, as the desired hit rate/profitability percentage will be affected accordingly. This strategy does NOT guarantee future returns. Apply caution in trading regardless of discretionary or algorithmic. Understand the concepts of risk/reward and the intricacies of each strategy choice before utilizing them in your personal trading.
Profitview Settings:
If you wish to utilize Profitview’s automation system, find the included “Profitview Settings” under the Input tab of the strategy settings menu. If not, skip this section entirely as it can be left blank. Options will be “OPEN LONG TITLE”, “OPEN SHORT TITLE”, “CLOSE LONG TITLE”, and “CLOSE SHORT TITLE”. If you wished to trade SOL, for example, you would put “SOL LONG”, “SOL SHORT”, “SOL CLOSE LONG”, and “SOL CLOSE SHORT” in these areas. Within your Profitview extension, ensure that your Alerts all match these titles. To set an alert for use with Profitview, go to the “Alerts” tab in TradingView, then create an alert. Make sure that your desired asset and timeframe are currently displayed on your screen when creating the alert. Under the “Condition” option of the alert, select the strategy, then select the expiration time. If using TradingView Premium, this can be open-ended. Otherwise, select your desired expiration time and date. This can be updated whenever desired to ensure the strategy does not expire. Under “Alert actions”, nothing necessarily needs to be selected unless so desired. Leave the “Alert name” option empty. For the “Message”, delete the generated message and replace it with {{strategy.order.alert_message}} and nothing else.
