MMI Auto Backtesting StrategyDescription:
A strategy based on ATR with auto-backtesting capabilities, Take Profit and Stop Loss (either Normal or Trailing). It allows you to select ranges of values and step for each parameter, and backtest the strategy on a multitude of input combinations at once. You can alternatively use a constant value for each parameter. The backtesting results strive to be as close as possible to those given by Tradingview Strategy Tester.
The strategy displays a table with results for different input combinations. This has columns showing current input combination as well as the following stats: Net Profit, Number of trades, % of Profitable trades, Profit Factor, Max Drawdown, Max Runup, Average Trade and Average number of bars in a trade.
You can sort the table by any column (including sorting by multiple columns at the same time) to find, for example, input combination that gives highest Net Profit (or, if sorting by multiple columns, to find input combination with the best balance of Net Profit and % of Profitable trades). You can filter by any column as well (or multiple columns at the same time), using logical expressions like "< value", "> value", "<= value", ">= value". And you can use logical expressions like "< value%" for Net Profit, Max Drawdown, Max Runup and Average trade to filter by percentage value. You will see a "↓" symbol in column's header if that column is sorted from Highest to Lowest, a "↑" symbol if it's sorted from Lowest to Highest and a "𐕢" symbol if that column is being filtered.
The table has customisable styles (like text color, background color of cells, etc.), and can show the total number of backtested combinations with the time taken to test them. You can also change Initial Capital and Position Size (either Contracts, Currency or % of Equity).
Parameters:
The following parameters are located in the "INPUTS (USUAL STRATEGY)" group, and control the behaviour of strategy itself (not the auto-backtesting functionality):
- Period: ATR Length
- Multiplier: ATR Multiplier
- DPO: length of the filtering moving average
- SL: stop loss
- TP: take profit
- Use Stop Loss: enable stop loss
- Stop Loss Mode: stop loss mode (either Normal or Trailing)
- Use Take Profit: enable take profit
- Wicks: use high & low price, or close price
The strategy also has various parameters separated by different groups:
- INPUTS (AUTO-BACKTESTING): has the same parameters as the "INPUTS (USUAL STRATEGY)" group, but controls the input combinations for auto-backtesting; all the numeric parameters have 3 values: F/V (from), T (to) and S (step); if the checkbox to the left of F/V parameter is off, the value of F/V will indicate the constant value used for that parameter (if the checkbox is on, the values will be from F/V to T using step S)
- STRATEGY: contains strategy related parameters like Initial Capital and Position Size
- BACKTESTING: allows you to display either Percentage, Absolute or Both values in the table and has checkboxes that allow you to exclude certain columns from the table
- SORTING: allows you to select sorting mode (Highest to Lowest or vice versa) and has checkboxes in case you want to sort by multiple columns at the same time
- FILTERING: has a text field for each column of the strategy where you can type logical expressions to filter the values
- TABLE: contains styling parameters
Many parameters have the "(i)" description marker, so hover over it to see more details.
Problems:
- The script works best on lower timeframes and continuous markets (trades 24/7), in other cases the backtesting results may vary from those that Tradingview shows
- The script shows closest results when Take Profit and Stop Loss are not used
- Max Runup percentage value is often wrong
Limitations:
- As we are limited by the maximum time a script can be running (which is 20s for Free plan and 40s for Paid plans), we can only backtest several hundreds of combinations within that timeframe (though it depends on the parameters, market and timeframe of the chart you use)
Cari dalam skrip untuk "stop loss"
Trend Confirmation StrategyThe profitability and uniqueness of a trading strategy depend on various factors including market conditions, risk management, and the strategy's ability to capitalize on price movements. I'll describe the strategy provided and highlight its potential benefits and differences compared to other strategies:
Strategy Overview:
The provided strategy combines three technical indicators: Supertrend, MACD, and VWAP. It aims to identify potential entry and exit points by confirming trend direction and considering the proximity to the VWAP level. The strategy also incorporates stop-loss and take-profit mechanisms, as well as a trailing stop.
Unique Aspects and Potential Benefits:
Trend Confirmation: The strategy uses both Supertrend and MACD to confirm the trend direction. This dual confirmation can increase the likelihood of accurate trend identification and filter out false signals.
VWAP Confirmation: The strategy considers the proximity of the price to the VWAP level. This dynamic level can act as a support or resistance and provide additional context for entry decisions.
Adaptive Stop Loss: The strategy sets a stop-loss range, which helps provide some tolerance for minor price fluctuations. This adaptive approach considers market volatility and helps prevent premature stop-loss triggers.
Trailing Stop: The strategy incorporates a trailing stop mechanism to lock in profits as the trade moves in the desired direction. This can potentially enhance profitability during strong trends.
Partial Profit Booking: While not explicitly implemented in the provided code, you could consider booking partial profits when the MACD shows a crossover in the opposite direction. This aspect could help secure gains while still keeping exposure to potential further price movements.
Key Differences from Other Strategies:
Dual Indicator Confirmation: The combination of Supertrend and MACD for trend confirmation is a unique aspect of this strategy. It adds an extra layer of filtering to enhance the accuracy of entry signals.
Dynamic VWAP: Incorporating the VWAP level into the decision-making process adds a dynamic element to the strategy. VWAP is often used by institutional traders, and its inclusion can provide insights into the market sentiment.
Adaptive Stop Loss and Trailing: The strategy's use of an adaptive stop-loss range and a trailing stop can help manage risk and protect profits more effectively during changing market conditions.
Partial Profit Booking: The suggestion to consider partial profit booking upon MACD crossovers in the opposite direction is a practical approach to secure gains while staying in the trade.
Caution and Considerations:
Backtesting: Before deploying any strategy in real trading, it's crucial to thoroughly backtest it on historical data to understand its performance under various market conditions.
Risk Management: While the strategy has built-in risk management mechanisms, it's essential to carefully manage position sizes and overall portfolio risk.
Market Conditions: No strategy works well in all market conditions. It's important to be flexible and adjust the strategy or refrain from trading during particularly volatile or unpredictable periods.
Continuous Monitoring: Even though the strategy includes automated components, continuous monitoring of the trades and market conditions is necessary.
Adaptability: Markets can change over time. Traders need to be prepared to adapt the strategy as necessary to stay aligned with evolving market dynamics.
CCI+EMA Strategy with Percentage or ATR TP/SL [Alifer]This is a momentum strategy based on the Commodity Channel Index (CCI), with the aim of entering long trades in oversold conditions and short trades in overbought conditions.
Optionally, you can enable an Exponential Moving Average (EMA) to only allow trading in the direction of the larger trend. Please note that the strategy will not plot the EMA. If you want, for visual confirmation, you can add to the chart an Exponential Moving Average as a second indicator, with the same settings used in the strategy’s built-in EMA.
The strategy also allows you to set internal Stop Loss and Take Profit levels, with the option to choose between Percentage-based TP/SL or ATR-based TP/SL.
The strategy can be adapted to multiple assets and timeframes:
Pick an asset and a timeframe
Zoom back as far as possible to identify meaningful positive and negative peaks of the CCI
Set Overbought and Oversold at a rough average of the peaks you identified
Adjust TP/SL according to your risk management strategy
Like the strategy? Give it a boost!
Have any questions? Leave a comment or drop me a message.
CAUTIONARY WARNING
Please note that this is a complex trading strategy that involves several inputs and conditions. Before using it in live trading, it is highly recommended to thoroughly test it on historical data and use risk management techniques to safeguard your capital. After backtesting, it's also highly recommended to perform a first live test with a small amount. Additionally, it's essential to have a good understanding of the strategy's behavior and potential risks. Only risk what you can afford to lose .
USED INDICATORS
1 — COMMODITY CHANNEL INDEX (CCI)
The Commodity Channel Index (CCI) is a technical analysis indicator used to measure the momentum of an asset. It was developed by Donald Lambert and first published in Commodities magazine (now Futures) in 1980. Despite its name, the CCI can be used in any market and is not just for commodities. The CCI compares current price to average price over a specific time period. The indicator fluctuates above or below zero, moving into positive or negative territory. While most values, approximately 75%, fall between -100 and +100, about 25% of the values fall outside this range, indicating a lot of weakness or strength in the price movement.
The CCI was originally developed to spot long-term trend changes but has been adapted by traders for use on all markets or timeframes. Trading with multiple timeframes provides more buy or sell signals for active traders. Traders often use the CCI on the longer-term chart to establish the dominant trend and on the shorter-term chart to isolate pullbacks and generate trade signals.
CCI is calculated with the following formula:
(Typical Price - Simple Moving Average) / (0.015 x Mean Deviation)
Some trading strategies based on CCI can produce multiple false signals or losing trades when conditions turn choppy. Implementing a stop-loss strategy can help cap risk, and testing the CCI strategy for profitability on your market and timeframe is a worthy first step before initiating trades.
2 — AVERAGE TRUE RANGE (ATR)
The Average True Range (ATR) is a technical analysis indicator that measures market volatility by calculating the average range of price movements in a financial asset over a specific period of time. The ATR was developed by J. Welles Wilder Jr. and introduced in his book “New Concepts in Technical Trading Systems” in 1978.
The ATR is calculated by taking the average of the true range over a specified period. The true range is the greatest of the following:
The difference between the current high and the current low.
The difference between the previous close and the current high.
The difference between the previous close and the current low.
The ATR can be used to set stop-loss orders. One way to use ATR for stop-loss orders is to multiply the ATR by a factor (such as 2 or 3) and subtract it from the entry price for long positions or add it to the entry price for short positions. This can help traders set stop-loss orders that are more adaptive to market volatility.
3 — EXPONENTIAL MOVING AVERAGE (EMA)
The Exponential Moving Average (EMA) is a type of moving average (MA) that places a greater weight and significance on the most recent data points.
The EMA is calculated by taking the average of the true range over a specified period. The true range is the greatest of the following:
The difference between the current high and the current low.
The difference between the previous close and the current high.
The difference between the previous close and the current low.
The EMA can be used by traders to produce buy and sell signals based on crossovers and divergences from the historical average. Traders often use several different EMA lengths, such as 10-day, 50-day, and 200-day moving averages.
The formula for calculating EMA is as follows:
Compute the Simple Moving Average (SMA).
Calculate the multiplier for weighting the EMA.
Calculate the current EMA using the following formula:
EMA = Closing price x multiplier + EMA (previous day) x (1-multiplier)
STRATEGY EXPLANATION
1 — INPUTS AND PARAMETERS
The strategy uses the Commodity Channel Index (CCI) with additional options for an Exponential Moving Average (EMA), Take Profit (TP) and Stop Loss (SL).
length : The period length for the CCI calculation.
overbought : The overbought level for the CCI. When CCI crosses above this level, it may signal a potential short entry.
oversold : The oversold level for the CCI. When CCI crosses below this level, it may signal a potential long entry.
useEMA : A boolean input to enable or disable the use of Exponential Moving Average (EMA) as a filter for long and short entries.
emaLength : The period length for the EMA if it is used.
2 — CCI CALCULATION
The CCI indicator is calculated using the following formula:
(src - ma) / (0.015 * ta.dev(src, length))
src is the typical price (average of high, low, and close) and ma is the Simple Moving Average (SMA) of src over the specified length.
3 — EMA CALCULATION
If the useEMA option is enabled, an EMA is calculated with the given emaLength .
4 — TAKE PROFIT AND STOP LOSS METHODS
The strategy offers two methods for TP and SL calculations: percentage-based and ATR-based.
tpSlMethod_percentage : A boolean input to choose the percentage-based method.
tpSlMethod_atr : A boolean input to choose the ATR-based method.
5 — PERCENTAGE-BASED TP AND SL
If tpSlMethod_percentage is chosen, the strategy calculates the TP and SL levels based on a percentage of the average entry price.
tp_percentage : The percentage value for Take Profit.
sl_percentage : The percentage value for Stop Loss.
6 — ATR-BASED TP AND SL
If tpSlMethod_atr is chosen, the strategy calculates the TP and SL levels based on Average True Range (ATR).
atrLength : The period length for the ATR calculation.
atrMultiplier : A multiplier applied to the ATR to set the SL level.
riskRewardRatio : The risk-reward ratio used to calculate the TP level.
7 — ENTRY CONDITIONS
The strategy defines two conditions for entering long and short positions based on CCI and, optionally, EMA.
Long Entry: CCI crosses below the oversold level, and if useEMA is enabled, the closing price should be above the EMA.
Short Entry: CCI crosses above the overbought level, and if useEMA is enabled, the closing price should be below the EMA.
8 — TP AND SL LEVELS
The strategy calculates the TP and SL levels based on the chosen method and updates them dynamically.
For the percentage-based method, the TP and SL levels are calculated as a percentage of the average entry price.
For the ATR-based method, the TP and SL levels are calculated using the ATR value and the specified multipliers.
9 — EXIT CONDITIONS
The strategy defines exit conditions for both long and short positions.
If there is a long position, it will be closed either at TP or SL levels based on the chosen method.
If there is a short position, it will be closed either at TP or SL levels based on the chosen method.
Additionally, positions will be closed if CCI crosses back above oversold in long positions or below overbought in short positions.
10 — PLOTTING
The script plots the CCI line along with overbought and oversold levels as horizontal lines.
The CCI line is colored red when above the overbought level, green when below the oversold level, and white otherwise.
The shaded region between the overbought and oversold levels is plotted as well.
DCA-Integrated Trend Continuation StrategyIntroducing the DCA-Integrated Trend Continuation Strategy 💼💰
The DCA-Integrated Trend Continuation Strategy represents a robust trading methodology that harnesses the potential of trend continuation opportunities while seamlessly incorporating the principles of Dollar Cost Averaging (DCA) as a risk management and backup mechanism. This strategy harmoniously blends these two concepts to potentially amplify profitability and optimize risk control across diverse market conditions.
This strategy is well-suited for both trending and ranging markets. During trending markets, it aims to capture and ride the momentum of the trend while optimizing entry points. In ranging markets or pullbacks, the DCA feature comes into play, allowing users to accumulate more assets at potentially lower prices and potentially increase profits when the market resumes its upward trend. This cohesive approach not only enhances the overall effectiveness of the strategy but also fosters a more resilient and adaptable trading approach in ever-changing market dynamics.
💎 How it Works:
▶️ The strategy incorporates a customizable entry signal based on candlestick patterns, enabling the identification of potential trend continuation opportunities. By focusing on consecutive bullish candles, it detects the presence of bullish momentum, indicating an optimal time to enter a long position.
To refine the precision of the signals, traders can set a specific percentage threshold for the closing price of the candle, ensuring it is above a certain percentage of its body. This condition verifies strong bullish momentum and confirms significant upward movement within the candle, thereby increasing the reliability of the signal.
In addition, the strategy offers further confirmation by examining the relationship between the closing price of the signal candle and its previous candles. If the closing price of the signal candle is higher than its preceding candles, it provides an additional layer of assurance before entering a position. This approach is particularly effective in detecting sharp movements and capturing significant price shifts, as it focuses on identifying instances where the closing price shows clear strength and outperforms the previous candle's price action. By prioritizing such occurrences, the strategy aims to capture robust trends and capitalize on notable market movements.
▶️ During market downturns, the strategy incorporates intelligent management of price drops, offering flexibility through fixed or customizable price drop percentages. This unique feature allows for additional entries at specified drop percentages, enabling traders to accumulate positions at more favorable prices.
By strategically adjusting the custom price drop percentages, you can optimize your entry points to potentially maximize profitability. Utilizing lower percentages for initial entries takes advantage of price fluctuations, potentially yielding higher returns. On the other hand, employing higher percentages for final entries adopts a more cautious approach during significant market downturns, emphasizing enhanced risk management. This adaptive approach ensures that the strategy effectively navigates challenging market conditions while seeking to optimize overall performance.
▶️ To enhance performance and mitigate risks, the strategy integrates average purchase price management. This feature dynamically adjusts the average buy price percentage decrease after each price drop, expediting the achievement of the target point even in challenging market conditions. By reducing recovery times and ensuring investment safety, this strategy optimizes outcomes for traders.
▶️ Risk management is at the core of this strategy, prioritizing the protection of capital. It incorporates an account balance validation mechanism that conducts automatic checks prior to each entry, ensuring alignment with available funds. This essential feature provides real-time insights into the affordability of price drops and the number of entries, enabling traders to make informed decisions and maintain optimal risk control.
▶️ Furthermore, the strategy offers take profit options, allowing traders to secure gains by setting fixed percentage profits from the average buy price or using a trailing target. Stop loss protection is also available, enabling traders to set a fixed percentage from the average purchase price to limit potential losses and preserve capital.
▶️ This strategy is fully compatible with third-party trading bots, allowing for easy connectivity to popular trading platforms. By leveraging the TradingView webhook functionality, you can effortlessly link the strategy to your preferred bot and receive accurate signals for position entry and exit. The strategy provides all the necessary alert message fields, ensuring a smooth and user-friendly trading experience. With this integration, you can automate the execution of trades, saving time and effort while enjoying the benefits of this powerful strategy.
🚀 How to Use:
To effectively utilize the DCA-Integrated Trend Continuation Strategy, follow these steps:
1. Choose your preferred DCA Mode - whether by quantity or by value - to determine how you want to size your positions.
2. Customize the entry conditions of the strategy to align with your trading preferences. Specify the number of consecutive bullish candles, set a desired percentage threshold for the close of the signal candle relative to its body, and determine the number of previous candles to compare with.
3. Adjust the pyramiding parameter to suit your risk tolerance and desired returns. Whether you prefer a more conservative approach with fewer pyramids or a more aggressive stance with multiple pyramids, this strategy offers flexibility.
4. Personalize the price drop percentages based on your risk appetite and trading strategy. Choose between fixed or custom percentages to optimize your entries in different market scenarios.
5. Configure the average purchase price management settings to control the percentage decrease in the average buy price after each price drop, ensuring it aligns with your risk tolerance and strategy.
6. Utilize the account balance validation feature to ensure the strategy's actions align with your available funds, enhancing risk management and preventing overexposure.
7. Set take profit options to secure your gains and implement stop loss protection to limit potential losses, providing an additional layer of risk management.
8. Use the date and time filtering feature to define the duration during which the strategy operates, allowing for specific backtesting periods or integration with a trading bot.
9. For automated trading, take advantage of the compatibility with third-party trading bots to seamlessly integrate the strategy with popular trading platforms.
By following these steps, traders can harness the power of the DCA-Integrated Trend Continuation Strategy to potentially maximize profitability and optimize their trading outcomes in both trending and ranging markets.
⚙️ User Settings:
To ensure the backtest result is representative of real-world trading conditions, particularly in the highly volatile Crypto market, the default strategy parameters have been carefully selected to produce realistic results with a conservative approach. However, you have the flexibility to customize these settings based on your risk tolerance and strategy preferences, whether you're focusing on short-term or long-term trading, allowing you to potentially achieve higher profits. The backtesting was conducted using the BTCUSDT pair in 15-minute timeframe on the Binance exchange. Users can configure the following options:
General Settings:
- Initial Capital (Default: $10,000)
- Currency (Default: USDT)
- Commission (Default: 0.1%)
- Slippage (Default: 5 ticks)
Order Size Management:
- DCA Mode (Default: Quantity)
- Order Size in Quantity (Default: 0.01)
- Order Size in Value (Default: $300)
Strategy's Entry Conditions:
- Number of Consecutive Bullish Candles (Default: 3)
- Close Over Candle Body % (Default: 50% - Disabled)
- Close Over Previous Candles Lookback (Default: 14 - Disabled)
- Pyramiding Number (Default: 30)
Price Drop Management:
- Enable Price Drop Calculations (Default: Enabled)
- Enable Current Balance Check (Default: Enabled)
- Price Drop Percentage Type (Default: Custom)
- Average Price Move Down Percentage % (Default: 50%)
- Fixed Price Drop Percentage % (Default: 0.5%)
- Custom Price Drop Percentage % (Defaults: 0.5, 0.5, 0.5, 1, 3, 5, 5, 10, 10, 10)
TP/SL:
- Take Profit % (Default: 3%)
- Stop Loss % (Default: 100%)
- Enable Trailing Target (Default: Enabled)
- Trailing Offset % (Default: 0.1%)
Backtest Table (Default: Enabled)
Date & Time:
- Date Range Filtering (Default: Disabled)
- Start Time
- End Time
Alert Message:
- Alert Message for Enter Long
- Alert Message for Exit Long
By providing these customizable settings, the strategy allows you to tailor it to your specific needs, enhancing the adaptability and effectiveness of your trading approach.
🔐 Source Code Protection:
The source code of the DCA-Integrated Trend Continuation Strategy is designed to be robust, reliable, and highly efficient. Its original and innovative implementation merits protecting the source code and limiting access, ensuring the exclusivity of this strategy. By safeguarding the code, the integrity and uniqueness of the strategy are preserved, giving users a competitive edge in their trading activities.
Basic PRISM Algorithm [ByteBoost]The Basic ByteBoost PRISM strategy is designed to operate in various market conditions by leveraging the concept of brownian motion theory, which refers to the unpredictable movement of particles suspended in a fluid. This characteristic of random motion can be effectively utilized for analyzing time series data, such as market candles. Based on this notion, we are making the following assumptions regarding the market.
The stock price exhibits characteristics of Brownian motion.
The stock price is distributed in a log-normal pattern.
Volatility remains constant over time.
Options can only be exercised upon expiration.
Risk-free interest does not fluctuate over time.
There are no random or arbitrary opportunities present in the market.
Development Notes
This Strategy was developed with the PineScript language, version 5. This indicator, and most of the descriptions below, were derived largely from the TradingView reference manual. Feedback and suggestions for improvement are more than welcome, as well as recommended input settings and best practices to assist and guide new users effectively.
Features
The ByteBoost PRISM indicator is capable of analyzing multiple aspects of market behavior simultaneously such as:
Detection of potential trend reversals.
Assessment of trend strength and market sentiment.
Identification of stop loss levels.
Discovery of potential entry and exit points.
Ensuring compatibility and effectiveness with other indicators.
Visualization of strategy using historical data.
Strategy Description
PRISM is an all in one strategy that allows the visualization of entry and exit points as well as the historical performance for every set of parameters. PRISM is a slow paced indicator recommended for the 1h timeframe, because it operates on the belief that markets move in a Brownian motion, for which it leaves enough space and time for the market to decide a trend and catch it at the right time as well as finding appropriate exits given the trend.
PRISM can exist in either an uptrend or downtrend state, but it does not necessarily imply that it reflects the true trend being observed. Instead, it emphasizes capturing significant movements and capitalizing on them by utilizing oscillator levels and exit points calculated based on oversold or overbought values, along with the volatility associated with these movements.
Usage
To use this strategy it is first needed to select a correct set of inputs that correspond to the market you are using, the extra, win difference and oscillator length are dependent on the current market and the average price it manages, so these inputs need to be modified for every pair of assets used.
The long and short tags signify the opportune moment to initiate a new position in the market, whether it's a long or short position, respectively. The exit tags indicate when these positions should be closed. If no exits occur before a new long or short position emerges, it is essential to conclude the existing position and commence a new one in the opposite direction.
Regarding exits, up to two exits can be executed for each movement. The user has the flexibility to determine how these exits are utilized. In the input section, a specific percentage of equity can be selected to be sold during the first exit. If set to 100%, only a single exit will be presented. Otherwise, the remaining equity will be sold during the second exit or at the next trend reversal depending on which action occurs first.
In case the user requires additional exits beyond the initial two, the alternative exits option can be activated in the inputs. This will provide access to supplementary exits, although they may be less advisable compared to the primary exits.
Inputs / Settings
Capital - If using any leverage multiply the amount of money to invest by the leverage, else input the amount to be invested in every trade.
Start date - The date from which the strategy should begin its analysis. Leave unchanged to start from the earliest available date based on your account's plan.
End date - The date until which the strategy should conduct its analysis. Leave unchanged to continue until the current date.
Extra - The minimum gain required in the market to trigger an exit opportunity. It can be a negative number to allow exits at a loss, potentially minimizing losses.
First exit % - If an exit is decided to be partial, it is very likely that there will be a second exit, this parameter determines the percentage of equity to be sold at the first exit. Note that a second exit may not always be applicable.
Win difference - The minimum difference between the entry point and the first exit to determine whether it should be a full exit or a partial exit, as the exit price approaches the entry price, the probability of a trend reversal increases, a full exit is beneficial.
Oscillator - Enables or disables the main oscillator, which helps determine entry points. Not all assets may benefit from this parameter.
Oscillator length - Specifies the number of candles considered for the entry points oscillator.
Highlighter - Applies a light color between the trend and average price of each bar.
Labels - Displays all the labels on the chart indicating trends, positions and exits.
Candle color - Color codes the inside of the candles with the current signal.
Oscillator points - Adds visual dots to indicate when the oscillator has changed its trend.
Color uptrend - Determines the color scheme for identifying uptrend movements.
Color downtrend - Determines the color scheme for identifying downtrend movements.
Color long - Sets the color scheme for a new long position.
Color short - Sets the color scheme for a new short position.
Color exit - Decides the color scheme for the exit tag and cross shown.
Indicator Visuals
The strategy plots the direction of the trend on the chart and changes its color based on this. It also plots shapes on the chart to denote potential buy (Long) and sell (Short) points, where the signals of short and long will appear as well as exit points which can be found as three different,
Exit 1 - A partial exit which sells the previously selected percentage of equity.
Exit 2 - A second exit that can only happen after an Exit 1 has happened, and sell the remaining amount of equity.
Exit Full - A full exit is executed when the price at the exit point is lower than the entry price plus the win difference value. This condition indicates that it is more advantageous to take a single exit rather than waiting for a second exit.
Strategy Alerts
The strategy does not include built-in alerts. However, alerts can be added using the TradingView interface based on the strategy's buy and sell conditions. This way you will be able to receive notifications on your computer or phone when a new signal goes out.
Details
Repainting: It is important to mention that the strategy can mark false long or short signals, as the oscillator is allowed to repaint on the same candle. So users must make sure the candle has closed on buy/sell conditions.
Excessive capital issue: If you configure the strategy with a big amount of capital (+$1,000,000 for example) it is possible that it will completely stop calculating exit signals, as they will be too big for TradingView’s engine to process.
Conclusion
The ByteBoost PRISM strategy empowers traders by providing comprehensive market analysis, clear entry and exit signals, and the ability to visualize strategy performance using historical data. It is a superior algorithm that maximizes profit potential and minimizes risks, making it the preferred choice for traders seeking a competitive edge in the financial markets.
Disclaimer
This strategy is provided as-is, with no guarantee of profits or responsibility for losses. Trading involves risk, and you should only trade with money you can afford to lose. Always conduct your own research and consider your financial situation before engaging in trading.
Premium PRISM Algorithm [ByteBoost]The ByteBoost PRISM strategy is designed to operate in various market conditions by leveraging the concept of brownian motion theory, which refers to the unpredictable movement of particles suspended in a fluid. This characteristic of random motion can be effectively utilized for analyzing time series data, such as market candles. Based on this notion, we are making the following assumptions regarding the market.
The stock price exhibits characteristics of Brownian motion.
The stock price is distributed in a log-normal pattern.
Volatility remains constant over time.
Options can only be exercised upon expiration.
Risk-free interest does not fluctuate over time.
There are no random or arbitrary opportunities present in the market.
Development Notes
This Strategy was developed with the PineScript language, version 5. This indicator, and most of the descriptions below, were derived largely from the TradingView reference manual. Feedback and suggestions for improvement are more than welcome, as well as recommended input settings and best practices to assist and guide new users effectively.
Features
The ByteBoost PRISM indicator is capable of analyzing multiple aspects of market behavior simultaneously such as:
Detection of potential trend reversals.
Assessment of trend strength and market sentiment.
Identification of stop loss levels.
Discovery of potential entry and exit points.
Ensuring compatibility and effectiveness with other indicators.
Visualization of strategy using historical data.
Customization options available.
Strategy Description
PRISM is an all in one strategy that allows the visualization of entry and exit points as well as the historical performance for every set of parameters. PRISM is a slow paced indicator recommended for the 1h timeframe, because it operates on the belief that markets move in a Brownian motion, for which it leaves enough space and time for the market to decide a trend and catch it at the right time as well as finding appropriate exits given the trend.
PRISM can exist in either an uptrend or downtrend state, but it does not necessarily imply that it reflects the true trend being observed. Instead, it emphasizes capturing significant movements and capitalizing on them by utilizing oscillator levels and exit points calculated based on oversold or overbought values, along with the volatility associated with these movements.
Usage
To use this strategy it is first needed to select a correct set of inputs that correspond to the market you are using, the extra, win difference and oscillator length are dependent on the current market and the average price it manages, so these inputs need to be modified for every pair of assets used.
The long and short tags signify the opportune moment to initiate a new position in the market, whether it's a long or short position, respectively. The exit tags indicate when these positions should be closed. If no exits occur before a new long or short position emerges, it is essential to conclude the existing position and commence a new one in the opposite direction.
Regarding exits, up to two exits can be executed for each movement. The user has the flexibility to determine how these exits are utilized. In the input section, a specific percentage of equity can be selected to be sold during the first exit. If set to 100%, only a single exit will be presented. Otherwise, the remaining equity will be sold during the second exit or at the next trend reversal depending on which action occurs first.
In case the user requires additional exits beyond the initial two, the alternative exits option can be activated in the inputs. This will provide access to supplementary exits, although they may be less advisable compared to the primary exits.
Inputs / Settings
Capital - If using any leverage multiply the amount of money to invest by the leverage, else input the amount to be invested in every trade.
Start date - The date from which the strategy should begin its analysis. Leave unchanged to start from the earliest available date based on your account's plan.
End date - The date until which the strategy should conduct its analysis. Leave unchanged to continue until the current date.
Extra - The minimum gain required in the market to trigger an exit opportunity. It can be a negative number to allow exits at a loss, potentially minimizing losses.
First exit % - If an exit is decided to be partial, it is very likely that there will be a second exit, this parameter determines the percentage of equity to be sold at the first exit. Note that a second exit may not always be applicable.
Win difference - The minimum difference between the entry point and the first exit to determine whether it should be a full exit or a partial exit, as the exit price approaches the entry price, the probability of a trend reversal increases, a full exit is beneficial.
Limit length - Specifies the number of candles to consider for the overbought and oversold market calculation.
Low limit - Sets the minimum value of the limit to decide a short exit.
High limit - Sets the maximum value of the limit to decide a long exit.
Band length - Determines the number of candles to consider for the volatility analysis.
Band height - Sets the multiplication factor of the band to set the maximum and minimum height.
Increment - Determines the rate at which trend reversals occur. A higher value brings the line closer to the current price faster.
Candles exit - Specifies the minimum number of candles required to pass for an exit to become available after initiating a new position.
Oscillator - Enables or disables the main oscillator, which helps determine entry points. Not all assets may benefit from this parameter.
Oscillator length - Specifies the number of candles considered for the entry points oscillator.
Highlighter - Applies a light color between the trend and average price of each bar.
Trend Labels - Displays labels indicating an uptrend or downtrend.
Signal Labels - View the labels indicating a new long or short position.
Exit Labels - Displays the labels indicating exit points.
Candle color - Color codes the inside of the candles with the current signal.
Cloud - Visualize the average price cloud to determine trend direction.
Oscillator points - Adds visual dots to indicate when the oscillator has changed its trend.
Oscillator line - Displays the values of the oscillator to indicate upcoming trend changes.
Alternative exits - Shows additional exits to the ones we recommend, useful if the user missed an exit or needs to have more than two.
Color uptrend - Determines the color scheme for identifying uptrend movements.
Color downtrend - Determines the color scheme for identifying downtrend movements.
Color long - Sets the color scheme for a new long position.
Color short - Sets the color scheme for a new short position.
Color exit - Decides the color scheme for the exit tag and cross shown.
Color alternative exit - Changes the color scheme for the alternative exit cross.
Color oscillator line - Determines the color scheme used for the oscillator line.
Indicator Visuals
The strategy plots the direction of the trend on the chart and changes its color based on this. It also plots shapes on the chart to denote potential buy (Long) and sell (Short) points, where the signals of short and long will appear as well as exit points which can be found as three different,
Exit 1 - A partial exit which sells the previously selected percentage of equity.
Exit 2 - A second exit that can only happen after an Exit 1 has happened, and sell the remaining amount of equity.
Exit Full - A full exit is executed when the price at the exit point is lower than the entry price plus the win difference value. This condition indicates that it is more advantageous to take a single exit rather than waiting for a second exit.
Strategy Alerts
The strategy does not include built-in alerts. However, alerts can be added using the TradingView interface based on the strategy's buy and sell conditions. This way you will be able to receive notifications on your computer or phone when a new signal goes out.
Details
Repainting: It is important to mention that the strategy can mark false long or short signals, as the oscillator is allowed to repaint on the same candle. So users must make sure the candle has closed on buy/sell conditions.
Excessive capital issue: If you configure the strategy with a big amount of capital (+$1,000,000 for example) it is possible that it will completely stop calculating exit signals, as they will be too big for TradingView’s engine to process.
Conclusion
The ByteBoost PRISM strategy empowers traders by providing comprehensive market analysis, clear entry and exit signals, and the ability to visualize strategy performance using historical data. It is a superior algorithm that maximizes profit potential and minimizes risks, making it the preferred choice for traders seeking a competitive edge in the financial markets.
Disclaimer
This strategy is provided as-is, with no guarantee of profits or responsibility for losses. Trading involves risk, and you should only trade with money you can afford to lose. Always conduct your own research and consider your financial situation before engaging in trading.
Chandelier Exit ZLSMA StrategyIntroducing a Powerful Trading Indicator: Chandelier Exit with ZLSMA
If you're a trader, you know the importance of having the right tools and indicators to make informed decisions. That's why we're excited to introduce a powerful new trading indicator that combines the Chandelier Exit and ZLSMA: two widely-used and effective indicators for technical analysis.
The Chandelier Exit (CE) is a popular trailing stop-loss indicator developed by Chuck LeBeau. It's designed to follow the price trend of a security and provide an exit signal when the price crosses below the CE line. The CE line is based on the Average True Range (ATR), which is a measure of volatility. This means that the CE line adjusts to the volatility of the security, making it a reliable indicator for trailing stop-losses.
The ZLEMA (Zero Lag Exponential Moving Average) is a type of exponential moving average that's designed to reduce lag and improve signal accuracy. The ZLSMA takes into account not only the current price but also past prices, using a weighted formula to calculate the moving average. This makes it a smoother indicator than traditional moving averages, and less prone to giving false signals.
When combined, the CE and ZLSMA create a powerful indicator that can help traders identify trend changes and make more informed trading decisions. The CE provides the trailing stop-loss signal, while the ZLSMA provides a smoother trend line to help identify potential entry and exit points.
In our indicator, the CE and ZLSMA are plotted together on the chart, making it easy to see both the trailing stop-loss and the trend line at the same time. The CE line is displayed as a dotted line, while the ZLSMA line is displayed as a solid line.
Using this indicator, traders can set their stop-loss levels based on the CE line, while also using the ZLSMA line to identify potential entry and exit points. The combination of these two indicators can help traders reduce their risk and improve their trading performance.
In conclusion, the Chandelier Exit with ZLSMA is a powerful trading indicator that combines two effective technical analysis tools. By using this indicator, traders can identify trend changes, set stop-loss levels, and make more informed trading decisions. Try it out for yourself and see how it can improve your trading performance.
Warning: The results in the backtest are from a repainting strategy. Don't take them seriously. You need to do a dry live test in order to test it for its useability.
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Here is a description of each input field in the provided source code:
length: An integer input used as the period for the ATR (Average True Range) calculation. Default value is 1.
mult: A float input used as a multiplier for the ATR value. Default value is 2.
showLabels: A boolean input that determines whether to display buy/sell labels on the chart. Default value is false.
isSignalLabelEnabled: A boolean input that determines whether to display signal labels on the chart. Default value is true.
useClose: A boolean input that determines whether to use the close price for extrema calculations. Default value is true.
zcolorchange: A boolean input that determines whether to enable rising/decreasing highlighting for the ZLSMA (Zero-Lag Exponential Moving Average) line. Default value is false.
zlsmaLength: An integer input used as the length for the ZLSMA calculation. Default value is 50.
offset: An integer input used as an offset for the ZLSMA calculation. Default value is 0.
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Ty for checking this out and good luck on your trading journey! Likes and comments are appreciated. 👍
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Credits to:
▪ @everget – Chandelier Exit (CE)
▪ @netweaver2022 – ZLSMA
LowFinder_PyraMider_V2This strategy is a result of an exploration to experiment with other ways to detect lows / dips in the price movement, to try out alternative ways to exit and stop positions and a dive into risk management. It uses a combination of different indicators to detect and filter the potential lows and opens multiple positions to spread the risk and opportunities for unrealized losses or profits. This script combines code developed by fellow Tradingview community_members.
LowFinder
The lows in the price movement are detected by the Low finder script by RafaelZioni . It finds the potential lows based on the difference between RSI and EMA RSI. The MTF RSI formula is part of the MTFindicators library developed by Peter_O and is integrated in the Low finder code to give the option to use the RSI of higher timeframes. The sensitivity of the LowFinder is controlled by the MA length. When potential lows are detected, a Moving Average, a MTF Stochastic (based the the MTFindiicators by Peter_O) and the average price level filter out the weak lows. In the settings the minimal percentage needed for a low to be detected below the average price can be specified.
Order Sizing and Pyramiding
Pyramiding, or spreading multiple positions, is at the heart of this strategy and what makes it so powerful. The order size is calculated based on the max number of orders and portfolio percentage specified in the input settings. There are two order size modes. The ‘base’ mode uses the same base quantity for each order it opens, the ‘multiply’ mode multiplies the quantity with each order number. For example, when Long 3 is opened, the quantity is multiplied by 3. So, the more orders the bigger the consecutive order sizes. When using ‘multiply’ mode the sizes of the first orders are considerably lower to make up for the later bigger order sizes. There is an option to manually set a fixed order size but use this with caution as it bypasses all the risk calculations.
Stop Level, Take Profit, Trailing Stop
The one indicator that controls the exits is the Stop Level. When close crosses over the Stop Level, the complete position is closed and all orders are exited. The Stop Level is calculated based on the highest high given a specified candle lookback (settings). There is an option to deviate above this level with a specified percentage to tweak for better results. You can activate a Take Profit / Trailing Stop. When activated and close crosses the specified percentage, the Stop Level logic changes to a trailing stop to gain more profits. Another option is to use the percentage as a take profit, either when the stop level crosses over the take profit or close. With this option active, you can make this strategy more conservative. It is active by default.
And finally there is an option to Take Profit per open order. If hit, the separate orders close. In the current settings this option is not used as the percentage is 10%.
Stop Loss
I published an earlier version of this script a couple of weeks ago, but it got hidden by the moderators. Looking back, it makes sense because I didn’t pay any attention to risk management and save order sizing. This resulted in unrealistic results. So, in this script update I added a Stop Loss option. There are two modes. The ‘average price’ mode calculates the stop loss level based on a given percentage below the average price of the total position. The ‘equity’ mode calculates the stop loss level based on a given percentage of your equity you want to lose. By default, the ‘equity’ mode is active. By tweaking the percentage of the portfolio size and the stop loss equity mode, you can achieve a quite low risk strategy set up.
Variables in comments
To sent alerts to my exchange I use a webhook server. This works with a sending the information in the form of a comment. To be able to send messages with different quantities, a variable is added to the comment. This makes it possible to open different positions on the exchange with increasing quantities. To test this the quantities are printed in the comment and the quantities are switched off in the style settings.
This code is a result of a study and not intended for use as a worked out and full functioning strategy. Use it at your own risk. To make the code understandable for users that are not so much introduced into pine script (like me), every step in the code is commented to explain what it does. Hopefully it helps.
Enjoy!
Wunder Trend Reversal botWunder Trend Reversal bot
1. Wunder Trend Reversal Bot - this has only one goal to find a reversal of the trend.
2. The strategy determines, based on the specified value for the filter, a market reversal based on the price actions of the previous bars.
3. A short EMA is used to filter false signals after the reversal signal was received. Crossing the EMA and changing its direction confirms the trend change.
4. There are 2 ways to calculate stop loss and take profit. You can choose one of them:
- Classic stop loss and take profit in a fixed percentage
- ATR stop loss and take pro
5. ATR uses risk reward (R:R) to calculate take profit. The script calculates the risk-reward based on a certain stop loss level and uses it to calculate the take profit
6. A function for calculating risk on the portfolio (your deposit) has been added to the script. When this option is enabled, you get a calculation of the entry amount in dollars relative to your Stop Loss. In the settings, you can select the risk percentage on your portfolio. The loss will be calculated from the amount that will be displayed on the chart.
For example. Deposit - $1000, you set the risk to 1%. SL 5%. Entry volume will be $200. The loss at SL will be $10.10$ this is your 1% risk or 1% of the deposit.
Important! The risk per trade must be less than the Stop Loss value. If the risk is greater than SL, then you should use leverage.
The amount of funds entering the trade is calculated in dollars. This option was created if you want to send the dollar amount from Tradingview to the exchange. However, putting your volume in dollars you get the incorrect net profit and drawdown indication in the backtest results, as TradingView calculates the backtest volume in contracts.
To display the correct net profit and drawdown values in Tradingview Backtest results, use the ”Volume in contracts” option.
Cyatophilum Universal Oscillator TraderAn indicator to backtest and create an infinite number of strategies using any external indicator.
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█ HOW IT WORKS
The indicator allows you to create your oscillator strategy and get backtest results from the Strategy Tester.
You can also create alerts for each of the strategy events.
█ HOW TO USE
Choose a strategy direction long or short that you want to create.
Always use regular candle type.
Configure your entry condition . To use any other indicator as source, it needs to be added to the chart first.
If you have the basic (free) TradingView plan, you can only have 1 indicator on your chart, and cannot use this external source feature. For this case, the indicator has a list of built-in oscillator (that can be increased upon request).
Then choose your condition: Cross over, Greater than, Pullback, Turning up, etc.
You now have your entry and should already see trades on the chart!
Next you can fine tune your entry condition or move to the risk management and filters.
Configure your stop loss
Use the stop loss feature to exit a trade at a certain loss.
You can also create a trailing stop using price % movement or ATR.
Configure your profit target
Use the Take Profit feature to set a target in percentage of price. You can also make it trail.
Configure your safety orders
This indicator has a safety orders feature to reduce the risk of your trade. See more below.
Check your backtest parameters
Make sure that the initial capital and order size make sense. Since it is a pyramiding strategy with safety orders, the sum of all deals should not be bigger than the initial capital.
If you use % equity as order size, please note that it will create compounding.
Check the fees, by default they are set to 0.1%.
I also recommend to set a slippage that corresponds to your exchange's spread.
█ FEATURES
• Strategy direction
Configure to go long or short.
• Entry Conditions
- External Oscillator source
- Built-in Oscillator (for basic plans)
- Base Condition for entry (Less/Greater than, Crossing Up/Down, Pullback Bull/Bear, Turning Up/Down, etc. More can be added later on)
- Additional Momentum Condition: Oscillator should be rising/falling for x number of bars
- Addition Threshold Condition: Oscillator should be Greater/Lowser than x
• Trend Filter
Filter Trades using 1 or 2 moving averages (MTF), based on Slop Change or Price Cross. Trend line is green = only longs, red = only shorts.
• Entry Filters
- Volume filter to remove low volume entries
- Overbought/Oversold filters
- Flat market Filter
• Stop Loss and Take Profit
Configure your stop loss and take profit for long and short trades.
You can also make a trailing take profit and trailing stop.
• DCA (Safety orders)
Create up to 100 safety orders with configurable options for step and volume scaling, take profit from total volume, base and safety order size.
• Backtest Settings
Choose a backtest period, longs or shorts, wether to use limit orders or not.
Graphics
A Backtest Results panel with additional information from the strategy tester.
A lightweight mode to remove background plots and make the indicator load faster.
█ ALERTS
The indicator is using the alert() calls: it only uses 1 alert slot to send order messages for each event (Long/Short entry, stop loss, take profit, safety order, exit timer). This means basic-free TV plans can create 1 complete strategy.
To set your alert messages, open the indicator settings and scroll to the bottom of the "inputs" tab.
Create your alert after you set the messages in the indicator settings, and make sure "Any alert() function call" is set in the alert option.
Use placeholders to automatically replace values in your alert messages like price, target profit, order size etc. (see the indicator inputs).
█ BACKTEST RESULTS
The backtest settings can be seen in the 'Properties' tab of the backtest report below.
Please read the author instructions below for access.
LuxAlgo - Backtester (S&O)The S&O Backtester is an innovative strategy script that encompasses features + optimization methods from our Signals & Overlays™ toolkit and combines them into one easy-to-use script for backtesting the most detailed trading strategies possible.
Our Signals & Overlays™ toolkit is notorious for its signal optimization methods such as the 'Optimal Sensitivity' displayed in its dashboard which provides optimization backtesting of the Sensitivity parameter for the Confirmation & Contrarian Signals.
This strategy script allows even more detailed & precise backtests than anything available previously in the Signals & Overlays™ toolkit; including External Source inputs allowing users to use any indicator including our other paid toolkits for take profit & stop loss customization to develop strategies, along with 10+ pre-built filters directly Signals & Overlays™' features.
🔶 Features
Full Sensitivity optimization within the dashboard to find the Best Win rates or Best Profits.
Counter Trade Mode to reverse signals in undesirable market conditions (may introduce higher drawdowns)
Built-in filters for Confirmation Signals w/ Indicator Overlays from Signals & Overlays™.
Built-in Confirmation exit points are available within the settings & on by default.
External Source Input to filter signals or set custom Take Profits & Stop Losses.
Optimization Matrix dashboard option showing all possible permutations of Sensitivity.
Option to Maximize for Winrate or Best Profit.
🔶 Settings
Sensitivity signal optimizations for the Confirmation Signals algorithm
Buy & Sell conditions filters with Indicator Overlays & External Source
Take Profit exit signals option
External Source for Take Profit & Stop Loss
Sensitivity ranges
Backtest window default at 2,000 bars
External source
Dashboard locations
🔶 Usage
Backtests are not necessarily indicative of future results, although a trader may want to use a strategy script to have a deeper understanding of how their strategy responds to varying market conditions, or to use as a tool for identifying possible flaws in a strategy that could potentially be indicative of good or bad performance in the future.
A strategy script can also be useful in terms of it's ability to generate more complete & configurable alerts, giving users the option to integrate with external processes.
In the chart below we are using default settings and built-in optimization parameters to generate the highest win rate.
Results like the above will vary & finding a strategy with a high win rate does not necessarily mean it will persist into the future, however, some indications of a well-optimized strategy are:
A high number of closed trades (100+) with a consistently green equity curve
An equity curve that outperforms buy & hold
A low % max drawdown compared to the Net Profit %.
Profit factor around 1.5 or above
In the chart below we are using the Trend Catcher feature from Signals & Overlays™ as a filter for standard Confirmation Signals + exits on a higher timeframe.
By filtering bullish signals only when the Trend Catcher is bullish, as well as bearish signals for when the Trend Catcher is bearish, we have a highly profitable strategy created directly from our flagship features.
While the Signals & Overlays features being used as built-in filters can generate interesting backtests, the provided External Sources can allow for even more creativity when creating strategies. This feature allows you to use many indicators from TradingView as filters or to trigger take-profit/stop-loss events, even if they aren't from LuxAlgo.
The chart below shows the HyperWave Oscillator from our Oscillator Matrix™ being used for take-profit exit conditions, exiting a long position on a profit when crossing 80, and exiting a short position when crossing 20.
🔶 Counter Trade Mode
Our thesis has always firmly remained to use Confirmation Signals within Signals & Overlays™ as a supportive tool to find trends & use as extra confirmation within strategies.
We included the counter-trade mode as a logical way to use the Confirmation signals as direct entries for longs & shorts within more contrarian trading strategies. Many traders can relate to using a trend-following indicator and having the market not respect its conditions for entries.
This mode directly benefits a trader who is aware that market conditions are generally not-so-perfect trends all the time. Acknowledging this, allows the user to use this to their advantage by introducing countertrend following conditions as direct entries, which tend to perform very well in ranging markets.
The big downfall of using counter-trade mode is the potential for very large max-drawdowns during trending market conditions. We suggest for making a strategy to consider introducing stop-loss conditions that can efficiently minimize max-drawdowns during the process of backtesting your creations.
Sensitivity Optimization
Within the Signals & Overlays™ toolkit, we allow users to adjust the Confirmation Signals with a Sensitivity parameter.
We believe the Sensitivity paramter is the most realistic way to generate the most actionable Confirmation Signals that can navigate various market conditions, and the Confirmation Signals algorithm was designed specifically with this in mind.
This script takes this parameter and backtests it internally to generate the most profitable value to display on the dashboard located in the top right of the chart, as well as an optimization table if users enable it to visualize it's backtesting.
In the image below, we can see the optimization table showing permutations of settings within the user-selected Sensitivity range.
The suggested best setting is given at the current time for the backtesting window that's customizable within the indicator. Optimized settings for technical indicators are not indicative of future results and the best settings are highly likely / guaranteed to change over time.
Optimizing signal settings has become a popular activity amongst technical analysts, however, the real-time beneficial applications of optimizing settings are limited & best described as complicated (even with forward testing).
🔶 Strategy Properties (Important)
We strongly recommend all users to ensure they adjust the Properties within the script settings to be in line with their accounts & trading platforms of choice to ensure results from strategies built are realistic.
🔶 How to access
You can see the Author's Instructions below to learn how to get access on our website.
Wunder Keltner botWunder Keltner bot
1. Wunder Keltner bot is based on the breakout of the Keltner channel. For calculation, 2 channels are used, one for long trades, and the other for short trades. The division into 2 channels is used for more accurate entry calculations depending on trend directions.
2. The ADX indicator is used to filter signals and determine the trend strength. ADX determines the strength of the trend and confirms the entry into the strategy if the value is greater than the level indicated in the settings.
3. There are 3 ways to calculate Stop Loss and Take Profit. You can choose one of them:
Classic Stop Loss and Take Profit in a fixed percentage
ATR Stop Loss
Keltner. Stop Loss, which is set on the opposite Keltner’s Channel Band from Keltner breakout.
4. ATR and Keltner use Risk Reward (R:R) to calculate Take Profit. The script calculates Risk Reward based on the determined Stop loss level and uses the ration to calculate Take Profit.
5. A function for calculating risk on the portfolio (your deposit) has been added to the script. When this option is enabled, you get a calculation of the entry amount in dollars relative to your Stop Loss. In the settings, you can select the risk percentage on your portfolio. The loss will be calculated from the amount that will be displayed on the chart.
For example. Deposit - $1000, you set the risk to 1%. SL 5%. Entry volume will be $200. The loss at SL will be $10.10$ this is your 1% risk or 1% of the deposit.
Important! The risk per trade must be less than the Stop Loss value. If the risk is greater than SL, then you should use leverage.
The amount of funds entering the trade is calculated in dollars. This option was created if you want to send the dollar amount from Tradingview to the exchange. However, putting your volume in dollars you get the incorrect net profit and drawdown indication in the backtest results, as TradingView calculates the backtest volume in contracts.
To display the correct net profit and drawdown values in Tradingview Backtest results, use the ”Volume in contract” option.
Risk Management Strategy TemplateThis strategy is intended to be used as a base template for building new strategies.
It incorporates the following features:
Risk management:
Configurable X% loss per stop loss
Configurable R:R ratio
Trade entry:
Calculated position size based on risk tolerance
Trade exit:
Stop Loss currently configurable ATR multiplier but can be replaced based on strategy
Take Profit calculated from Stop Loss using R:R ratio
Backtesting:
Configurable backtesting range by date
Trade drawings:
TP/SL boxes drawn for all trades. Can be turned on and off
Trade exit information labels. Can be turned on and off
NOTE: Trade drawings will only be applicable when using overlay strategies
Debugging:
Includes section with useful debugging techniques
Strategy conditions
Trade entry:
LONG
C1: Price is above EMA line
C2: RSI is crossing out of oversold area
SHORT
C1: Price is below EMA line
C2: RSI is crossing out of overbought area
Trade exit:
Stop Loss: Stop Loss ATR multiplier is hit
Take Profit: R:R multiplier * Stop Loss is hit
The idea is to use RSI to catch pullbacks within the main trend.
Note that this strategy is intended to be a simple base strategy for building upon. It was not designed to be traded in its current form.
The Impossible TraderTHE IMPOSSIBLE TRADER
A simple, but effective High Freq Strategy script based on MACD or RSI trend, with extra customizable Alert Messages for Bots.
WHAT IT DOES
This script (works best at lower TimeFrames) just follow the trend of MACD or RSI on your asset.
Why it should work? Because in an upper trend, there are more chance of green candles than reds. And in dump trend there are more chance of red candles than greens.
While trend is positive, it will try to open Long orders as fast as possible at market price.
While trend is negative, it will try to open Short orders as fast as possible at market price.
HOW TO SETUP YOUR PREFERENCES
Capital : Insert a % of Margin you want to use for your positions (usually 30% is quite good)
Leverage : Choose leverage based on your plans
Trail Tick @ : This value (in Tick) tell the script "when" the "Trail Stop" order must be activated (from the Entry price)
Offset Tick @ : This is the price (in Tick) from the Trail Stop Price activated. Basically it is a Stop Loss that follow the price at a fixed distance.
SL Tick @ : Set a Stop Loss at amount Tick distance from the Entry Price. (Let's call it a Safety Stop Loss for bad decisions...)
TP Tick @ : Set a Take Profit at amount Tick distance from the Entry Price. Sometimes is better to exit in full Gain than keep positions.
Strategy : You can choose a Only Long, Only Short or Long+Short sametime strategy.
with MACD or RSI : You can try the strategy applied on MACD or applied on customizable RSI EMA
EMA : If you choosed RSI EMA, you can set any value for your testing (usually 80-120 works very nice)
Exit order after bars : Some Exchanges / Brokers apply fixed cost, and a strategy too fast could not be productive. This set will let you to delay the Exit Order on already Opened positions.
Keep Stop Loss active : If you are planning a delay for Exit Orders, sometime could be useful to keep activated Stop Loss.
Strategy Preset : Some preset I've found interesting, with good results.
BackTest Days : If there are too many results and script doesn't work, you can choose a closer range to show results.
EXTRA FEATURES
On Screen Display : OSD will show you some realtime stats about your strategy, like Asset Tick, Trading Period Range, Drawdown, Gains and not closed trade.
Alert Message : You can enter custom Long Entry/Exit and Short Entry/Exit message for your Bots (like AutoView, WunderBit, etc...). When alert is triggered, you can send custom message with {{strategy.order.comment}} in the text field
AutoView Alert Message : If you are user of AutoView, you can generate your calls. Those are tested only on Oanda with index like Sp500, US100, Us30.
TIPS ON USE
Some asset on TradingView require an higher initial capital. Go to this Script Settings -> Properties and rise Initial Capital.
Be aware of commissions and spread when evalutating a strategy. Go to this Script Settings -> Properties and set Commission and Slippage
Trail Stop and Ticks could be difficult to understand, but very profitable. Please take your time and study how it works.
Consider Tick like the minimum movement your asset can do. Ticks occurs "intra-bar", so some of your positions could be closed almost instantly.
Consider Trail Stop like a Stop Loss that keep always the same distance from your positions, but never came back . If you are in gain, say of 10 Ticks, and your Trail have 5 Ticks, this means for sure a close at minimum 5 Ticks from Entry Price.
On Screen Display will show you Ticks for your asset. This will help you on strategy settings, because not all asset responds on the same way.
ONLY LONG EXAMPLE
ONLY SHORT EXAMPLE
Loft Strategy V4This strategy is an advanced version of the Loft Strategy V1, I shared earlier. (Loft Strategy V1 consists of a kalman filter (by alexgrover ) and a "stop and reverse" line which is following and the kalman filter. If the price goes in the same direction as the position side, the "stop and reverse" line approaches the kalman filter as set on the "Approach Decrease Step" parameter.)
In addition to the previous version, it includes a martingale like deviation and multiple take-profit.
Here it is some parameters definitions of the strategy:
Kalman Filter: The higher this parameter, the faster and more aggressive the filter. Otherwise the filter goes very smoothly
Beginning Approach: First approximation as a percentage of stop-n-reverse line
Final Approach: Minimum approximation of stop-n-reverse line
Approach Decrease Step: If the price moves in the same direction as the strategy, the approach percentage is reduced by this parameter. Otherwise nothing do
Base Order Quantity: Initial capital of position
Max Safe Order Attempt: This parameter determines the maximum number of times the strategy will raise the bet after losing in a row.
Safe Order Deviation: if the last trade is loss, multiply the bet by this parameter (aka. martingale factor)
Profit Deviation: if last trade in loss, multiply the take-profit points
Max Order Quantity: Maximum capital allowed for a position
TP1, TP2, TP3 : Take profit spots in percentage
QT1, QT2, QT3: Amount of take-profit spots
Stop Loss: Maximum stop loss allowed for a trade
Long Entry, Short Entry: Only long side, only short side or both side
Safe Stop After TP2: If the price reaches the TP2 point, move the stop-loss point to the entry price.
Safe Stop After TP1: If the price reaches TP1, move the stop-loss point to the stop-n-reverse line.
Double SupertrendThis strategy is based on a custom indicator that was created based on the Supertrend indicator. At its core, there are always 2 super trend indicators with different factors to reduce market noise (false signals).
The strategy/indicator has some parameters to improve the signals and filters.
TECHNICAL ANALYSIS
☑ Show Indicators
This option will enable/disable the Supertrend indicators on the chart.
☑ Length
The length will be used on the Supertrend Indicator to calculate its values.
☑ Dev Fast
The fast deviation or factor from one of the super trend indicators. This will be the leading indicator for entry signals, as well as for the exit signals.
☑ Dev Slow
The slow deviation or factor from one of the super trend indicators. This will be the confirmation indicator for entry and exit signals.
☑ Exit Type
It's possible to select from 4 options for the exit signals. Exit signals always take profit target.
☑ ⥹ Reversals
This option will make the strategy/indicator calculate the exit signals based on the difference between the given period's highest and lowest candle value (see Period on this list). It's displayed on the chart with the cross. As it's possible to verify in the image below, there are multiple exit spots for every entry.
☑ ⥹ ATR
Using ATR as a base indicator for exit signals will make the strategy/indicator place limit/stop orders. Candle High + ATR for longs, Candle Low - ATR for shorts. The strategy will show the ATR level for take profit and stick with it until the next signal. This way, the take profit value remains based on the candle of the entry signal.
☑ ⥹ Fast Supertrend
With this option selected, the exit signals will be based on the Fast Supertsignal value, mirrored to make a profit.
☑ ⥹ Slow Supertrend
With this option selected, the exit signals will be based on the Slow Supertsignal value, which is mirrored to take profit.
☑ Period
This will represent the number of candles used on the exit signals when Reversals is selected as Exit Type. It's also used to calculate the gradient used on the Fills and Supertrend signals.
☑ Multiplier
It's used on the take profit when the ATR option is selected on the Exit Type.
STRATEGY
☑ Use The Strategy
This will enable/disable the strategy to show the trades calculations.
☑ Show Use Long/Short Entries
Option to make the strategy show/use Long or Short signals. Available only if Use The Strategy is enabled
☑ Show Use Exit Long/Short
Option to make the strategy show/use Exit Long or Short signals (valid when Reversals option is selected on the Exit Type). Available only if Use The Strategy is enabled
☑ Show Use Add Long/Short
Option to make the strategy show/use Add Long or Short signals. With this option enabled, the strategy will place multiple trades in the same direction, almost the same concept as a pyramiding parameter. It's based on the Fast Supersignal when the candle fails to cross and reverses. Available only if Use The Strategy is enabled
☑ Trades Date Start/End
The date range that the strategy will check the market data and make the trades
HOW TO USE
It's very straightforward. A long signal will appear as a green arrow with a text Long below it. A short signal will appear as a red arrow with a text Short above it. It's ideal to wait for the candle to finish to validate the signal.
The exit signals are optional but give a good idea of the configuration used when backtesting. Each market and timeframe will have its own configuration for the best results. On average, sticking to ATR as an exit signal will have less risk than the other options.
☑ Entry Signals
Follow the arrows with Long/Short texts on them. Wait for the signal candle to close to validate the entry.
☑ Exit Signals
Use them to close your position or to trail stop your orders and maximize profits. Select the exit type suitable for each timeframe and market
☑ Add Entries
It's possible to increase the position following the add margin/contracts based on the Add signals. Not mandatory, but may work as reentries or late entries using the same signal.
☑ What about Stop Loss?
The stop-loss levels were not included as a separated signal because it's already in the chart. There are some possible ideas for the stop loss:
☑⥹ Candle High/Low (2nd recommend option)
When it's a Long signal from the entry signal candle, the stop loss can be the Low value of the same candle. Very tight stop loss in some cases, depending on the candle range
☑⥹ Local Top/Bottom
Selecting the local top/bottom as stop loss will give the strategy more room for false breakouts or reversals, keeping the trade open and minimizing noises. Increases the risk
☑⥹ Fast Supertrend (1st recommend option)
The fast supertrend can be used as stop-loss as well. making it a moving level and working close to trail stop management
☑⥹ Fixed Percentage
It's possible to use a fixed risk percentage for the trades, making the risk easier to control and project. Since the market volatility is not fixed, this may affect the accuracy of the trades
☑⥹ Based on the ATR (3rd recommend option)
When the exit type option ATR is selected, it will display the take profit level for that entry. Just mirror that value and put it as stop-loss, or multiply that amount by 1.5 to have more room for market noise.
EXAMPLE CONFIGURATIONS
Here are some configuration ideas for some markets (all of them are from crypto, especially futures markets)
BTCUSDT 15min - Default configuration
BTCUSDT 1h - Length 10 | Dev Fast 3 | Dev Slow 4 | Exit Type ATR | Period 50 | Multiplier 1
BTCUSDT 4h - Length 10 | Dev Fast 2 | Dev Slow 4 | Exit Type ATR | Period 50 | Multiplier 1
ETHUSDT 15min - Length 20 | Dev Fast 1 | Dev Slow 3 | Exit Type Fast Supertrend | Period 50 | Multiplier 1
IOTAUSDT 15min - Length 10 | Dev Fast 1 | Dev Slow 2 | Exit Type Slow Supertrend | Period 50 | Multiplier 1
OMGUSDT 15min - Length 10 | Dev Fast 1 | Dev Slow 4 | Exit Type Slow Supertrend | Period 50 | Multiplier 1
VETUSDT 15min - Length 10 | Dev Fast 3 | Dev Slow 4 | Exit Type Slow Supertrend | Period 50 | Multiplier 1
HOW TO FIND OTHER CONFIGURATIONS
Here are some steps to find suitable configurations
select a market and time frame
enable the Use This Strategy option on the strategy
open the strategy tester panel and select the performance summary
open the strategy configuration and go to properties
change the balance to the same price of the symbol (example: BTCUSDT 60.000, use 60.000 as balance)
go back to the inputs tab and keep changing the parameters until you see the net profit be positive and bigger than the absolute value of the drawdown
in case you can't find a suitable configuration, try other timeframes
Since the tester reflects what happened in the past candles, it's not guaranteed to give the same results. However, this indicator/Strategy can be used with other indicators as a leading signal or confirmation signal.
RSI Strategy w/ Trailing SL / TP Optimized for Crypto [Strategy]This strategy is designed to use the RSI and EMA filters. A 200 period EMA is used for short / long filters, and the 50 period EMA is used to determine the direction of the short term trend.
In addition, the script uses "rate of change" for the fast EMA (trend), volume , RSI (momentum), and price (volatility) and only takes trades when all are in optimal conditions.
I.E., the EMA is in an uptrend, the volume is increasing, price is in an uptrend, and the RSI is in an uptrend, so we will place a Long trade.
This strategy uses EMAs as a trailing stop loss and take profit. As this is a trend following strategy, the idea is to maximize profits when correct and minimize losses when
wrong.
It was designed specifically using crypto pairs, and was optimized for the 10 minute chart.
My goal was to get the best use out of the RSI indicator. I was originally an MACD fanboy, but have recently converted.
Want to help me improve this code or strategy? Have suggestions for improvement? Leave them in the comments below.
Thanks for using my script! I hope it works well for you and good luck in the markets.
If you have any questions, please leave them in the comments and I'll do my best to respond.
This script does not repaint as it only relies on close data to make a decision to enter a trade.
How to use this strategy:
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Enable Long Entries? - Used to enable or disable the strategy from executing long entries.
Enable Short Entries? - Used to enable or disable the strategy from executing short entries.
How Many Bars To Look Back for Hi/Lo: - This is used for the Stop Loss and Take Profit targets. An integer of bars is used to look back and calculate the values.
RSI Length (Rec: 8) - The length of the RSI
Source - The RSI Source
Use Slow EMA? - If checked, a 200 period EMA will be used to filter entries long or short (only take shorts when the price is below, long when above). In addition, the script will close any trades that cross the 200 period EMA. By default this is disabled.
EMA Slow - the period of the Slow EMA (200 by default)
EMA Slow Src - what to use to calculate the Slow EMA (high by default)
EMA Fast - The Fast EMA (50 period) is used to calculate the direction of the short term trend. This also factored into the Rates of Change.
EMA Fast Src - what to use to calculate the Fast EMA
ATR Length - If used, the ATR length is used to calculate the Stop Loss and Take Profit targets.
SL Multiplier - The distance away from the initial value to multiply the Stop Loss
TP Multiplier - The distance away from the initial value to multiply the Take Profit.
Use EMA as SL / TP? - If true (default) a 3 period EMA is used to calculate Stop Loss and Take Profit targets. Else, an ATR is used to calculate these values.
Stop Loss / Take Profit Offset - Default: 3 - this is used to shift the EMA / ATR Stop Loss and Take Profit lines to the right X bars. This is to ensure that they are hit properly and not exceeded.
Short Len Vol - Use to calculate the volume of the short length, used in rate of change calculations
Long Len - Use to calculate the volume of the long length, used in rate of change calculations
RSI Long Entry Val - Minimum RSI crossover value to enter a trade Long. If the RSI is below this value, trade entries are not valid.
RSI Long Cutoff Threshold - Long entry RSI value cutoff to no longer enter trades. If the RSI is above this value, trades entries are not valid.
RSI Short Entry Val - Minimum RSI crossover value to enter a trade Short. If the RSI is above this value, trade entries are not valid.
RSI Short Cutoff Threshold - Short entry RSI value cutoff to no longer enter trades. If the RSI is below this value, trades entries are not valid.
ROC Fast EMA - Calculates the rate of change between the Fast Ema now and 'X' bars ago. \n\n For a long entry, a positive value is needed, and for a short entry, a negative value is needed.
ROC Price - Calculates the rate of change between the most recent price close and 'X' bars ago. \n\n For a long entry, a positive value is needed, and for a short entry, a negative value is needed.
ROC RSI - Calculates the rate of change between the RSI now and 'X' bars ago. \n\n For a long entry, a positive value is needed, and for a short entry, a negative value is needed.
Use Close for SL - Default = Off - If checked, when a candle hits the stop loss, the trade will close on the next candle. If unchecked, the trade will remain open until the candle closes at or beyond the stop loss lines.
Custom Message Boxes - Primarily used for bots, but can be used to also insert your own messages for your trading alerts.
BTC|scanner|LONG|SHORT|30min STRATEGY- This strategy based on BTC|Scanner| v0.6b INDICATOR.
- Stop loss and take profit settings are available.
- This strategy can be used on a 30m timeframe and does not require fine tuning.
Detailed description of the strategy:
-According to the terms of the strategy:
-The initial deposit is $ 1000.
-The entry into the trade is carried out with the leverage from x3 to x8.
-Each entry/exit is shown by up/down arrows on the chart, the number of arrows shows the size of the leverage in the trade.
-Enter the trade with 100% of the deposit.
-All of the above suggests that with the input signal and the indication of the three arrows, an entry in the amount of$3000 will be made. If the shooter is 5, then$5000.
-Exit from the long/short position under the strategy conditions is carried out by 33% of the initial position volume on all TP (you can specify an unrealistic value of TP3, then the exit of 33% will be due only to an increase in the risk of further holding the position, but this can both increase profit and reduce it).
-To avoid distortion of the strategy indicators due to compound interest, it is recommended to take a period of a month to view statistics.
-The "Enter Confirm" field displays the confirmation of the trade, if several signals appear sequentially, the trade will be executed, and if the signal appears once, the trade will be skipped.
-The "ratio" field indicates the coefficient of change in activity on the current bar from the previous bar.
-The "Corner" field changes the angle of the stop loss correction depending on the time in the direction of reducing the loss.
-The "Short trigger" field indicates from which phase of activity you can open a short trade, conditionally this is a sinusoid with a lower limit of 0 and an upper limit of 100, but the sinusoid itself does not necessarily reach 0 and 100, the activity can stop at 80 and go towards 0 (initially the value 65 is specified).
-The "TP and Stop loss" fields are the percentage of profit / loss multiplied by 10. (the value 35 corresponds to 3.5%, 20-2% , and so on).
-The "cross action" field includes closing the trade when the activity sinusoid reaches the value of 99, regardless of any other calculations.
-The stop loss is displayed on the chart with orange and white dots.
The indicator and strategy can be applied not only to BTC , but it often has poor statistics on illiquid instruments.
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- Эта стратегия основана на индикаторе BTC|Scanner| v0.6b.
- Доступны настройки стоп-лосса и тейк-профита.
- Эта стратегия может быть использована на 30-минутном таймфрейме и не требует тонкой настройки.
Подробное описание стратегии:
-Начальный депозит составляет 1000 долларов.
-Вход в сделку осуществляется с кредитным плечом от х3 до х8.
-Каждый вход/выход отображается стрелками вверх/вниз на графике, количество стрелок показывает размер кредитного плеча в сделке.
-Вход в сделку на 100% депозита.
-Все вышесказанное говорит о том, что с помощью входного сигнала и индикации трех стрелок будет совершен вход на сумму 3000 долларов. Если стрелок 5, то 5000 долларов.
-Выход из длинной/короткой позиции по условиям стратегии осуществляется на 33% от объема начальной позиции по всем ТП (можно указать нереальное значение ТП3, тогда выход на 33% будет обусловлен только увеличением риска дальнейшего удержания позиции, но это может как увеличить прибыль, так и уменьшить ее).
-Чтобы избежать искажения показателей стратегии из-за сложных процентов, рекомендуется использовать месячный период для просмотра статистики.
-В поле "Enter Confirm" отображается подтверждение сделки, если последовательно появится несколько сигналов, сделка будет выполнена, а если сигнал появится один раз, сделка будет пропущена.
-Поле "ratio" указывает коэффициент изменения активности на текущем баре по сравнению с предыдущим баром.
-Поле "Corner" изменяет угол коррекции стоп-лосса в зависимости от времени в направлении уменьшения убытка.
-Поле "Short trigger" указывает, с какой фазы активности вы можете открыть короткую сделку, условно это синусоида с нижней границей 0 и верхней границей 100, но сама синусоида не обязательно достигает 0 и 100, активность может остановиться на 80 и пойти в сторону 0 (изначально указано значение 65).
-Поля "TP и Stop loss" - это процент прибыли / убытка, умноженный на 10. (значение 35 соответствует 3,5%, 20-2% и так далее).
-Поле "cross action" включает закрытие сделки, когда синусоида активности достигает значения 99, независимо от любых других расчетов.
-Стоп-лосс отображается на графике оранжевыми и белыми точками.
Индикатор и стратегию можно применить не только к BTC , но зачастую он имеет плохую статистику на неликвидных инструментах.
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Zeta Bank Nifty & Nifty50The Problems of Day Trading
Lot many indicators are made by thousands of traders all over the world, which give good or not so good signals.
Despite good signals, many times we end up in loss because we could not take entry or could not exit at appropriate time-point.
Sometimes even winning position also comes into loss if market takes back whatever you gained till a certain point.
Also, there are professional, office going people who can not take trades on their own during office-hours.
To solve all these problems, you need an automated strategy which could take trades, trail your stop loss up and exit when stop loss gets hit.
Strategy also lets you know how a certain formula performed over a period of time.
How this strategy works?
The strategy generates trades with 02 type of formulas:
1. It seeks price breaking away from support/resistance (up or down) which is calculated with the help of automatically detected pivot points.
2. It seeks reversal based upon RSI and Price Action.
If there are no open positions right now and a Buy/Sell signal comes, 1 lot is bought or sold.
This position is closed when either Stop Loss gets hit or when opposite signal comes.
What are other features of the strategy
1. You can set the session time when you want the strategy to take trades. For example, if you want to take trades only between 10:00 hrs and 14:00 hrs, that can be set in settings.
2. You can set up your own Stop Loss percentage, but the optimum value, as we found fit in backtesting, is set at 0.5%
3. There is a max. daily loss safeguard also which by default is set at 5%. It means if a series of losses happen during the day and your capital loss reaches this maximum loss value set by you, the strategy stops trading for that day.
4. There is an option to close all positions by End of Day. By default, this feature is disabled, but you can enable it if you don't want to carry forward your positions.
5. A label displayed at the last bar gives you cumulative profit or loss and daily profit/loss statistics.
888 BOT #backtest█ 888 BOT #backtest (open source)
This is an Expert Advisor 'EA' or Automated trading script for ‘longs’ and ‘shorts’, which uses only a Take Profit or, in the worst case, a Stop Loss to close the trade.
It's a much improved version of the previous ‘Repanocha’. It doesn`t use 'Trailing Stop' or 'security()' functions (although using a security function doesn`t mean that the script repaints) and all signals are confirmed, therefore the script doesn`t repaint in alert mode and is accurate in backtest mode.
Apart from the previous indicators, some more and other functions have been added for Stop-Loss, re-entry and leverage.
It uses 8 indicators, (many of you already know what they are, but in case there is someone new), these are the following:
1. Jurik Moving Average
It's a moving average created by Mark Jurik for professionals which eliminates the 'lag' or delay of the signal. It's better than other moving averages like EMA , DEMA , AMA or T3.
There are two ways to decrease noise using JMA . Increasing the 'LENGTH' parameter will cause JMA to move more slowly and therefore reduce noise at the expense of adding 'lag'
The 'JMA LENGTH', 'PHASE' and 'POWER' parameters offer a way to select the optimal balance between 'lag' and over boost.
Green: Bullish , Red: Bearish .
2. Range filter
Created by Donovan Wall, its function is to filter or eliminate noise and to better determine the price trend in the short term.
First, a uniform average price range 'SAMPLING PERIOD' is calculated for the filter base and multiplied by a specific quantity 'RANGE MULTIPLIER'.
The filter is then calculated by adjusting price movements that do not exceed the specified range.
Finally, the target ranges are plotted to show the prices that will trigger the filter movement.
Green: Bullish , Red: Bearish .
3. Average Directional Index ( ADX Classic) and ( ADX Masanakamura)
It's an indicator designed by Welles Wilder to measure the strength and direction of the market trend. The price movement is strong when the ADX has a positive slope and is above a certain minimum level 'ADX THRESHOLD' and for a given period 'ADX LENGTH'.
The green color of the bars indicates that the trend is bullish and that the ADX is above the level established by the threshold.
The red color of the bars indicates that the trend is down and that the ADX is above the threshold level.
The orange color of the bars indicates that the price is not strong and will surely lateralize.
You can choose between the classic option and the one created by a certain 'Masanakamura'. The main difference between the two is that in the first it uses RMA () and in the second SMA () in its calculation.
4. Parabolic SAR
This indicator, also created by Welles Wilder, places points that help define a trend. The Parabolic SAR can follow the price above or below, the peculiarity that it offers is that when the price touches the indicator, it jumps to the other side of the price (if the Parabolic SAR was below the price it jumps up and vice versa) to a distance predetermined by the indicator. At this time the indicator continues to follow the price, reducing the distance with each candle until it is finally touched again by the price and the process starts again. This procedure explains the name of the indicator: the Parabolic SAR follows the price generating a characteristic parabolic shape, when the price touches it, stops and turns ( SAR is the acronym for 'stop and reverse'), giving rise to a new cycle. When the points are below the price, the trend is up, while the points above the price indicate a downward trend.
5. RSI with Volume
This indicator was created by LazyBear from the popular RSI .
The RSI is an oscillator-type indicator used in technical analysis and also created by Welles Wilder that shows the strength of the price by comparing individual movements up or down in successive closing prices.
LazyBear added a volume parameter that makes it more accurate to the market movement.
A good way to use RSI is by considering the 50 'RSI CENTER LINE' centerline. When the oscillator is above, the trend is bullish and when it is below, the trend is bearish .
6. Moving Average Convergence Divergence ( MACD ) and ( MAC-Z )
It was created by Gerald Appel. Subsequently, the histogram was added to anticipate the crossing of MA. Broadly speaking, we can say that the MACD is an oscillator consisting of two moving averages that rotate around the zero line. The MACD line is the difference between a short moving average 'MACD FAST MA LENGTH' and a long moving average 'MACD SLOW MA LENGTH'. It's an indicator that allows us to have a reference on the trend of the asset on which it is operating, thus generating market entry and exit signals.
We can talk about a bull market when the MACD histogram is above the zero line, along with the signal line, while we are talking about a bear market when the MACD histogram is below the zero line.
There is the option of using the MAC-Z indicator created by LazyBear, which according to its author is more effective, by using the parameter VWAP ( volume weighted average price ) 'Z-VWAP LENGTH' together with a standard deviation 'STDEV LENGTH' in its calculation.
7. Volume Condition
Volume indicates the number of participants in this war between bulls and bears, the more volume the more likely the price will move in favor of the trend. A low trading volume indicates a lower number of participants and interest in the instrument in question. Low volumes may reveal weakness behind a price movement.
With this condition, those signals whose volume is less than the volume SMA for a period 'SMA VOLUME LENGTH' multiplied by a factor 'VOLUME FACTOR' are filtered. In addition, it determines the leverage used, the more volume , the more participants, the more probability that the price will move in our favor, that is, we can use more leverage. The leverage in this script is determined by how many times the volume is above the SMA line.
The maximum leverage is 8.
8. Bollinger Bands
This indicator was created by John Bollinger and consists of three bands that are drawn superimposed on the price evolution graph.
The central band is a moving average, normally a simple moving average calculated with 20 periods is used. ('BB LENGTH' Number of periods of the moving average)
The upper band is calculated by adding the value of the simple moving average X times the standard deviation of the moving average. ('BB MULTIPLIER' Number of times the standard deviation of the moving average)
The lower band is calculated by subtracting the simple moving average X times the standard deviation of the moving average.
the band between the upper and lower bands contains, statistically, almost 90% of the possible price variations, which means that any movement of the price outside the bands has special relevance.
In practical terms, Bollinger bands behave as if they were an elastic band so that, if the price touches them, it has a high probability of bouncing.
Sometimes, after the entry order is filled, the price is returned to the opposite side. If price touch the Bollinger band in the same previous conditions, another order is filled in the same direction of the position to improve the average entry price, (% MINIMUM BETTER PRICE ': Minimum price for the re-entry to be executed and that is better than the price of the previous position in a given %) in this way we give the trade a chance that the Take Profit is executed before. The downside is that the position is doubled in size. 'ACTIVATE DIVIDE TP': Divide the size of the TP in half. More probability of the trade closing but less profit.
█ STOP LOSS and RISK MANAGEMENT.
A good risk management is what can make your equity go up or be liquidated.
The % risk is the percentage of our capital that we are willing to lose by operation. This is recommended to be between 1-5%.
% Risk: (% Stop Loss x % Equity per trade x Leverage) / 100
First the strategy is calculated with Stop Loss, then the risk per operation is determined and from there, the amount per operation is calculated and not vice versa.
In this script you can use a normal Stop Loss or one according to the ATR. Also activate the option to trigger it earlier if the risk percentage is reached. '% RISK ALLOWED'
'STOP LOSS CONFIRMED': The Stop Loss is only activated if the closing of the previous bar is in the loss limit condition. It's useful to prevent the SL from triggering when they do a ‘pump’ to sweep Stops and then return the price to the previous state.
█ BACKTEST
The objective of the Backtest is to evaluate the effectiveness of our strategy. A good Backtest is determined by some parameters such as:
- RECOVERY FACTOR: It consists of dividing the 'net profit' by the 'drawdown’. An excellent trading system has a recovery factor of 10 or more; that is, it generates 10 times more net profit than drawdown.
- PROFIT FACTOR: The ‘Profit Factor’ is another popular measure of system performance. It's as simple as dividing what win trades earn by what loser trades lose. If the strategy is profitable then by definition the 'Profit Factor' is going to be greater than 1. Strategies that are not profitable produce profit factors less than one. A good system has a profit factor of 2 or more. The good thing about the ‘Profit Factor’ is that it tells us what we are going to earn for each dollar we lose. A profit factor of 2.5 tells us that for every dollar we lose operating we will earn 2.5.
- SHARPE: (Return system - Return without risk) / Deviation of returns.
When the variations of gains and losses are very high, the deviation is very high and that leads to a very poor ‘Sharpe’ ratio. If the operations are very close to the average (little deviation) the result is a fairly high 'Sharpe' ratio. If a strategy has a 'Sharpe' ratio greater than 1 it is a good strategy. If it has a 'Sharpe' ratio greater than 2, it is excellent. If it has a ‘Sharpe’ ratio less than 1 then we don't know if it is good or bad, we have to look at other parameters.
- MATHEMATICAL EXPECTATION: (% winning trades X average profit) + (% losing trades X average loss).
To earn money with a Trading system, it is not necessary to win all the operations, what is really important is the final result of the operation. A Trading system has to have positive mathematical expectation as is the case with this script: ME = (0.87 x 30.74$) - (0.13 x 56.16$) = (26.74 - 7.30) = 19.44$ > 0
The game of roulette, for example, has negative mathematical expectation for the player, it can have positive winning streaks, but in the long term, if you continue playing you will end up losing, and casinos know this very well.
PARAMETERS
'BACKTEST DAYS': Number of days back of historical data for the calculation of the Backtest.
'ENTRY TYPE': For '% EQUITY' if you have $ 10,000 of capital and select 7.5%, for example, your entry would be $ 750 without leverage. If you select CONTRACTS for the 'BTCUSDT' pair, for example, it would be the amount in 'Bitcoins' and if you select 'CASH' it would be the amount in $ dollars.
'QUANTITY (LEVERAGE 1X)': The amount for an entry with X1 leverage according to the previous section.
'MAXIMUM LEVERAGE': It's the maximum allowed multiplier of the quantity entered in the previous section according to the volume condition.
The settings are for Bitcoin at Binance Futures (BTC: USDTPERP) in 15 minutes.
For other pairs and other timeframes, the settings have to be adjusted again. And within a month, the settings will be different because we all know the market and the trend are changing.
VWMA_withATRstops_strategyThis strategy follows the trend when price is above VWMA indicator. I have modified entry and exit rules to get most out of it.
Instead of entering LONG when price crosses above VWMA, I have used RSI(14) of VWMA . that way it skips the false signals. (some extent)
ENTRY
========
1. VWMA setting is 33
2. When RSIofVwma is above 30 enter Long ( and also checks if price already broke the ATR Stop above line )
Stop Loss and Exits
==================
1. Exit is when price breaks the ATR stop loss
2. ATR setting is set as same VWMA Length and multiplier is 3.5
3. STOP Loss that I mentioned in the settings is being used to calculate the how many units can be purchased based on risk of capital value.
Note: There is NO hard stop loss. having above ATR stop loss works as Trailing stop loss
Warning
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For the educational purposes only
Fibonacci Bollinger Bands Strategy [QuantNomad]This strategy is modified Stanard Bollinger Bands Strategy. Instead of using standard deviation, I use a metric of how big is the range for the last X bars. Also, I’m using Fibonacci levels as multipliers for BB.
In this strategy you have a choice of 3 different Trailing Stop Loss types:
Standard % – standard percent based TSL
Fibonacci Level – close your position on another Fibonacci level or basis line of BB.
Parabolic SAR – Parabolic SAR adapted as trailing stop loss.
For Standard % and Parabolic SAR, you can use the “TSL Offset” parameter to set an initial offset for trailing stop loss.
Parameters
BB Length – Bolinger Bands Length
Fib Entry Level – Entry BB Multiplier level. Can be one of Fibonacci levels: 0.236, 0.382, 0.5, 0.618, 0.786, 1.000
Trailing SL Type – Type of Trailing Stop Loss used to close positions. Can be one of 3 types: “Standard %”, “Fibonacci Level”, “Parabolic SAR”
TSL Offset (%) – Initial offset for TSL. Applicable to “Standard %” and “Parabolic SAR”
TSL Fib Level – Fibonacci level used for “Fibonacci level” type of TSL
TSL PSAR Start / Increment / Maximum – parameters for PSAR type of TSL.
Strategy side – you can choose the side of the strategy. You can require strategy to go only Long, Short to Both sides.
From/To Day/Month/Year – you can use these parameters to set backtesting range to check the performance of your strategy on a specific range
It's a pro indicator, you can have access to it for a small fee. Link to my PRO indicators you can find in my signature.
Disclaimer
Please remember that past performance may not be indicative of future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as good as in historical backtesting.
This post and the script don’t provide any financial advice.
Trend spider glueThis script works on all market types.
This script will show you when to long, short, exit (stop loss) and Take profit.
Signals take into account various elements such as momentum, volume , moving averages and long term trend analysis. Stop loss function is included to show you when a signal is invalidated.
Use this strategy strictly, patiently and with discipline to prevent unneeded losses, this will result in long term consistent profits.
This script has been set to work best on the intraday time frames, however it also works on the longer timeframes. Use the settings tab to dilute the indicators to ur own market.
Lastly, this indicator will not give signals if the market is not trending.
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HAPPY TRADING <3
Version 2 will be coming soon which will integerate more elements to allow for more accurate signals and faster stop losses !
disclaimer: although this indicator is taking many elements into account and is highly accurate the market is never certain, we are not responsible for any losses the script may result in as we are not financial advisors.
