Elliott's Quadratic Momentum - Strategy [presentTrading]█ Introduction and How It Is Different
The "Elliott's Quadratic Momentum - Strategy" is a unique and innovative approach in the realm of technical trading. This strategy is a fusion of multiple SuperTrend indicators combined with an Elliott Wave-like pattern analysis, offering a comprehensive and dynamic trading tool. It stands apart from conventional strategies by incorporating multiple layers of trend analysis, thereby providing a more robust and nuanced view of market movements.
*Although the script doesn't explicitly analyze Elliott Wave patterns, it employs a wave-like approach by considering multiple SuperTrend indicators. Elliott Wave theory is based on the premise that markets move in predictable wave patterns. While this script doesn't identify specific Elliott Wave structures like impulsive and corrective waves, the sequential checking of trend conditions across multiple SuperTrend indicators mimics a wave-like progression.
BTC 8hr Long/Short Performance
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█ Strategy, How It Works: Detailed Explanation
The core of this strategy lies in its multi-tiered approach:
1. Multiple SuperTrend Indicators:
The strategy employs four different SuperTrend indicators, each with unique ATR lengths and multipliers. These indicators offer various perspectives on market trends, ranging from short to long-term views.
By analyzing the convergence of these indicators, the strategy can pinpoint robust entry signals for both long and short positions.
2. Elliott Wave-like Pattern Recognition:
While not directly applying Elliott Wave theory, the strategy takes inspiration from its pattern recognition approach. It looks for alignments in market movements that resemble the characteristic waves of Elliott's theory.
This pattern recognition aids in confirming the signals provided by the SuperTrend indicators, adding an extra layer of validation to the trading signals.
3. Comprehensive Market Analysis:
By combining multiple indicators and pattern analysis, the strategy offers a holistic view of the market. This allows for capturing potential trend reversals and significant market moves early.
█ Trade Direction
The strategy is designed with flexibility in mind, allowing traders to select their preferred trading direction – Long, Short, or Both. This adaptability is key for traders looking to tailor their approach to different market conditions or personal trading styles. The strategy automatically adjusts its logic based on the chosen direction, ensuring that traders are always aligned with their strategic objectives.
█ Usage
To utilize the "Elliott's Quadratic Momentum - Strategy" effectively:
Traders should first determine their trading direction and adjust the SuperTrend settings according to their market analysis and risk appetite.
The strategy is versatile and can be applied across various time frames and asset classes, making it suitable for a wide range of trading scenarios.
It's particularly effective in trending markets, where the alignment of multiple SuperTrend indicators can provide strong trade signals.
█ Default Settings
Trading Direction: Configurable (Long, Short, Both)
SuperTrend Settings:
SuperTrend 1: ATR Length 7, Multiplier 4.0
SuperTrend 2: ATR Length 14, Multiplier 3.618
SuperTrend 3: ATR Length 21, Multiplier 3.5
SuperTrend 4: ATR Length 28, Multiplier 3.382
Additional Settings: Gradient effect for trend visualization, customizable color schemes for upward and downward trends.
Komut dosyalarını "supertrend" için ara
Alxuse Supertrend 4EMA Buy and Sell for tutorialAll abilities of Supertrend, moreover :
Drawing 4 EMA band & the ability to change values, change colors, turn on/off show.
Sends Signal Sell and Buy in multi timeframe.
The ability used in the alert section and create customized alerts.
To receive valid alerts the replay section , the timeframe of the chart must be the same as the timeframe of the indicator.
Supertrend with a simple EMA Filter can improve the performance of the signals during a strong trend.
For detecting the continuation of the downward and upward trend we can use 4 EMA colors.
In the upward trend , the EMA lines are in order of green, blue, red, yellow from bottom to top.
In the downward trend, the EMA lines are in order of yellow, red, blue, green from bottom to top.
How it works:
x1 = MA1 < MA2 and MA2 < MA3 and MA3 < MA4 and ta.crossunder(MA3, MA4)
x2 = MA1 < MA2 and MA2 < MA3 and MA3 < MA4 and ta.crossunder(MA2, MA3)
x3 = MA1 < MA2 and MA2 < MA3 and MA3 < MA4 and ta.crossunder(MA1, MA2)
y1 = MA4 < MA3 and MA3 < MA2 and MA2 < MA1 and ta.crossover(MA3, MA4)
y2 = MA4 < MA3 and MA3 < MA2 and MA2 < MA1 and ta.crossover(MA2, MA3)
y3 = MA4 < MA3 and MA3 < MA2 and MA2 < MA1 and ta.crossover(MA1, MA2)
Red triangle = x1 or x2 or x3
Green triangle = y1 or y2 or y3
Long = BUY signal and followed by a Green triangle
Exit Long = SELL signal
Short = SELL signal and followed by a Red triangle
Exit Short = BUY signal
It is also possible to get help from the Stochastic RSI and MACD indicators for confirmation.
For receiving a signal with these two conditions or more conditions, i am making a video tutorial that I will release soon.
Supertrend
Definition
Supertrend is a trend-following indicator based on Average True Range (ATR). The calculation of its single line combines trend detection and volatility. It can be used to detect changes in trend direction and to position stops.
The basics
The Supertrend is a trend-following indicator. It is overlaid on the main chart and their plots indicate the current trend. A Supertrend can be used with varying periods (daily, weekly, intraday etc.) and on varying instruments.
The Supertrend has several inputs that you can adjust to match your trading strategy. Adjusting these settings allows you to make the indicator more or less sensitive to price changes.
For the Supertrend inputs, you can adjust atrLength and multiplier:
the atrLength setting is the lookback length for the ATR calculation;
multiplier is what the ATR is multiplied by to offset the bands from price.
When the price falls below the indicator curve, it turns red and indicates a downtrend. Conversely, when the price rises above the curve, the indicator turns green and indicates an uptrend. After each close above or below Supertrend, a new trend appears.
Summary
The Supertrend helps you make the right trading decisions. However, there are times when it generates false signals. Therefore, it is best to use the right combination of several indicators. Like any other indicator, Supertrend works best when used with other indicators such as MACD, Parabolic SAR, or RSI.
Exponential Moving Average
Definition
The Exponential Moving Average (EMA) is a specific type of moving average that points towards the importance of the most recent data and information from the market. The Exponential Moving Average is just like it’s name says - it’s exponential, weighting the most recent prices more than the less recent prices. The EMA can be compared and contrasted with the simple moving average.
Similar to other moving averages, the EMA is a technical indicator that produces buy and sell signals based on data that shows evidence of divergence and crossovers from general and historical averages. Additionally, the EMA tries to amplify the importance that the most recent data points play in a calculation.
It is common to use more than one EMA length at once, to provide more in-depth and focused data. For example, by choosing 10-day and 200-day moving averages, a trader is able to determine more from the results in a long-term trade, than a trader who is only analyzing one EMA length.
It’s best to use the EMA when for trending markets, as it shows uptrends and downtrends when a market is strong and weak, respectively. An experienced trader will know to look both at the line the EMA projects, as well as the rate of change that comes from each bar as it moves to the next data point. Analyzing these points and data streams correctly will help the trader determine when they should buy, sell, or switch investments from bearish to bullish or vice versa.
Short-term averages, on the other hand, is a different story when analyzing Exponential Moving Average data. It is most common for traders to quote and utilize 12- and 26-day EMAs in the short-term. This is because they are used to create specific indicators. Look into Moving Average Convergence Divergence (MACD) for more information. Similarly, the 50- and 200-day moving averages are most common for analyzing long-term trends.
Moving averages can be very useful for traders using technical analysis for profit. It is important to identify and realize, however, their shortcomings, as all moving averages tend to suffer from recurring lag. It is difficult to modify the moving average to work in your favor at times, often having the preferred time to enter or exit the market pass before the moving average even shows changes in the trend or price movement for that matter.
All of this is true, however, the EMA strives to make this easier for traders. The EMA is unique because it places more emphasis on the most recent data. Therefore, price movement and trend reversals or changes are closely monitored, allowing for the EMA to react quicker than other moving averages.
Limitations
Although using the Exponential Moving Average has a lot of advantages when analyzing market trends, it is also uncertain whether or not the use of most recent data points truly affects technical and market analysis. In addition, the EMA relies on historical data as its basis for operating and because news, events, and other information can change rapidly the indicator can misinterpret this information by weighting the current prices higher than when the event actually occurred.
Summary
The Exponential Moving Average (EMA) is a moving average and technical indicator that reflects and projects the most recent data and information from the market to a trader and relies on a base of historical data. It is one of many different types of moving averages and has an easily calculable formula.
The added features to the indicator are made for training, it is advisable to use it with caution in tradings.
Trailing Stop Loss SuperTrendThe Trailing Stop Loss SuperTrend indicator is a popular technical analysis tool used by traders to identify trends and determine optimal entry and exit points in financial markets. This indicator combines elements of the SuperTrend indicator and trailing stop loss orders to provide valuable insights into market trends and potential reversals. By incorporating Average True Range (ATR) calculations, it adapts to market volatility, making it suitable for various trading strategies. Let's explore the key use cases and benefits of the Trailing Stop Loss SuperTrend indicator:
Trend Identification:
The primary purpose of the Trailing Stop Loss SuperTrend indicator is to identify market trends. It plots two lines on the chart: an upper band (referred to as the "up" line) and a lower band (referred to as the "dn" line). The direction of these bands helps traders determine the prevailing trend. When the price is above the upper band, it suggests a bullish trend, and when it is below the lower band, it indicates a bearish trend.
Entry and Exit Signals:
The Trailing Stop Loss SuperTrend indicator generates entry and exit signals based on trend changes. When the trend changes from bearish to bullish, a buy signal is triggered, indicating a potential entry point. Conversely, when the trend changes from bullish to bearish, a sell signal is generated, suggesting a possible exit or short-selling opportunity. These signals can be used in conjunction with other trading strategies or indicators to enhance trading decisions.
Trailing Stop Loss Orders:
One of the distinguishing features of the Trailing Stop Loss SuperTrend indicator is its ability to incorporate trailing stop loss orders. Traders can use the indicator's upper and lower bands as trailing stop levels to protect profits and manage risk. For example, in a bullish trend, the stop loss level can be set at the lower band, and as the price rises, the stop loss level trails along with it, locking in profits and reducing potential losses.
Volatility Adaptation:
By incorporating the ATR (Average True Range) calculation, the Trailing Stop Loss SuperTrend indicator adjusts its sensitivity to market volatility. A higher ATR multiplier widens the distance between the price and the bands, accommodating higher volatility, while a lower multiplier tightens the bands during periods of lower volatility. This adaptability makes the indicator versatile and suitable for various market conditions.
Alerts and Notifications:
The Trailing Stop Loss SuperTrend indicator provides the ability to set alerts for specific events, such as trend changes, buy signals, and sell signals. Traders can receive real-time notifications via email, SMS, or on-platform alerts, ensuring they stay informed about potential trading opportunities and important market developments.
Conclusion:
The Trailing Stop Loss SuperTrend indicator is a valuable tool for traders seeking to identify trends, generate entry and exit signals, and effectively manage risk. Its ability to adapt to market volatility and incorporate trailing stop loss orders enhances trading strategies and decision-making. By combining the SuperTrend concept with trailing stop loss functionality, this indicator provides traders with a comprehensive approach to trend analysis and risk management. Whether used in isolation or in conjunction with other indicators, the Trailing Stop Loss SuperTrend indicator offers a powerful tool for navigating the dynamic world of financial markets.
Stochastic SuperTrend [BigBeluga]🔵 OVERVIEW
A hybrid momentum-trend tool that combines Stochastic RSI with SuperTrend logic to deliver clean directional signals based on momentum turns.
Stochastic SuperTrend is a straightforward yet powerful oscillator overlay designed to highlight turning points in momentum with high clarity. It overlays a SuperTrend-style envelope onto the Stochastic RSI, generating intuitive up/down signals when a momentum shift occurs across the neutral 50 level. Built for traders who appreciate simplicity without sacrificing reliability.
🔵 CONCEPTS
Stochastic RSI: Measures momentum by applying stochastic calculations to the RSI curve instead of raw price.
SuperTrend Bands: Dynamic upper/lower bands are drawn around the smoothed Stoch RSI line using a user-defined multiplier.
Momentum Direction: Trend flips when the smoothed Stoch RSI crosses above/below the calculated bands.
Neutral Bias Filter: Directional arrows only appear when momentum turns above or below the central 50 level—adding confluence.
🔵 FEATURES
Trend Detection on Oscillator: Applies SuperTrend logic directly to the Stoch RSI curve.
Clean Entry Signals:
→ 🢁 arrow printed when trend flips bullish below 50 (bottom reversals).
→ 🢃 arrow printed when trend flips bearish above 50 (top reversals).
Custom Multiplier: Adjust sensitivity of SuperTrend band spacing around the oscillator.
Neutral Zone Highlight: Visual zone between 0–50 (green) and 50–100 (red) for quick momentum polarity reference.
Toggle SuperTrend Line: Option to show/hide the SuperTrend trail on the Stoch RSI.
🔵 HOW TO USE
Use 🢁 signals for potential bottom reversals when momentum flips bullish from oversold regions.
Use 🢃 signals for potential top reversals when momentum flips bearish from overbought areas.
Combine with price-based SuperTrend or support/resistance zones for confluence.
Suitable for scalping, swing trading, or momentum filtering across all timeframes.
🔵 CONCLUSION
Stochastic SuperTrend is a simple yet refined tool that captures clean momentum shifts with directional clarity. Whether you're identifying reversals, filtering entries, or spotting exhaustion in a trend, this oscillator overlay delivers just what you need— no clutter, just clean momentum structure.
Dynamic and ATR Supertrend**Dynamic and ATR Supertrend Indicator**
The Dynamic and ATR Supertrend indicator is a powerful tool for traders who want to identify trends and make informed decisions about their investments. This indicator combines the benefits of the Supertrend indicator with the dynamic multiplier adjustment and ATR (Average True Range) calculation to provide a more accurate and reliable trend identification system.
**Key Features:**
* **Dynamic Multiplier Adjustment:** The indicator uses a dynamic multiplier adjustment to adapt to changing market conditions. This ensures that the indicator remains sensitive to trend changes and provides accurate signals.
* **ATR Calculation:** The indicator uses the ATR (Average True Range) calculation to determine the volatility of the market. This helps to identify the optimal multiplier value for the Supertrend calculation.
* **Supertrend Calculation:** The indicator uses the Supertrend calculation to identify trends and provide buy and sell signals.
* **Higher Timeframe Analysis:** The indicator allows for higher timeframe analysis, which enables traders to identify trends and make decisions based on a broader market perspective.
* **Alert System:** The indicator includes an alert system that notifies traders of trend changes and price crosses, allowing them to make timely and informed decisions.
**How it Works:**
1. The indicator calculates the ATR (Average True Range) of the market to determine the volatility.
2. The indicator uses the dynamic multiplier adjustment to adapt to changing market conditions.
3. The indicator calculates the Supertrend value using the ATR and dynamic multiplier.
4. The indicator identifies trends and provides buy and sell signals based on the Supertrend value.
5. The indicator includes an alert system that notifies traders of trend changes and price crosses.
**Benefits:**
* **Improved Trend Identification:** The indicator provides a more accurate and reliable trend identification system, allowing traders to make informed decisions.
* **Adaptability:** The indicator adapts to changing market conditions, ensuring that it remains sensitive to trend changes and provides accurate signals.
* **Flexibility:** The indicator allows for higher timeframe analysis, enabling traders to identify trends and make decisions based on a broader market perspective.
* **Alert System:** The indicator includes an alert system that notifies traders of trend changes and price crosses, allowing them to make timely and informed decisions.
**Conclusion:**
The Dynamic and ATR Supertrend indicator is a powerful tool for traders who want to identify trends and make informed decisions about their investments. With its dynamic multiplier adjustment, ATR calculation, and Supertrend calculation, this indicator provides a more accurate and reliable trend identification system. The indicator's adaptability, flexibility, and alert system make it an essential tool for traders who want to stay ahead of the market and make profitable trades.
Bollinger Bands + Supertrend by XoediacBollinger Bands with Supertrend Indicator by Xeodiac
This script combines two powerful technical analysis tools — Bollinger Bands and the Supertrend Indicator — to provide traders with a comprehensive view of market volatility and trend direction.
Bollinger Bands: These bands consist of a middle band (the simple moving average, or SMA) and two outer bands (calculated as standard deviations away from the middle). The upper and lower bands act as dynamic support and resistance levels, expanding during high volatility and contracting during low volatility.
Supertrend Indicator: The Supertrend is a trend-following indicator that uses the Average True Range (ATR) to calculate an adaptive threshold, indicating whether the market is in an uptrend or downtrend. The indicator changes color based on the trend direction, providing clear buy and sell signals.
Features of the Script:
Volatility-based Signals : By incorporating the Bollinger Bands, the script adjusts to market volatility. Traders can identify periods of high and low volatility, helping to gauge potential price breakouts or reversals.
Trend Confirmation: The Supertrend helps confirm the trend direction, ensuring that trades are aligned with the overall market trend. Green Supertrend signals indicate an uptrend, while red signals indicate a downtrend.
Enhanced Decision-making: By using both indicators together, traders can make more informed decisions. For instance, buying opportunities are validated when the price is near the lower Bollinger Band, and the Supertrend is in a bullish phase, and vice versa for selling.
Customizable Parameters: The script allows users to customize the settings for both the Bollinger Bands and the Supertrend, enabling fine-tuning based on trading preferences or market conditions.
Ideal Use Cases:
Identifying trend reversals or continuation patterns in trending markets.
Monitoring price action during periods of low volatility for breakout opportunities.
Filtering out false signals by combining volatility with trend strength.
25-75 Percentile SuperTrend | Mattes25-75 Percentile SuperTrend | Mattes
Overview
The 25-75 Percentile SuperTrend is an advanced trend-following indicator that enhances the traditional SuperTrend concept by incorporating percentile-based smoothing. Instead of using a simple moving average or median price, this indicator calculates the 25th and 75th percentiles over a user-defined period. These percentiles act as dynamic trend levels, adjusting more responsively to price volatility while reducing noise.
How It’s Calculated
Percentile Smoothing:
The 25th percentile of the selected source (low-end smoothing).
The 75th percentile of the selected source (high-end smoothing).
SuperTrend Logic:
The upper band is set at the 75th percentile + ATR multiplier.
The lower band is set at the 25th percentile - ATR multiplier.
The trend flips when the price crosses above/below these dynamic bands.
Signal Generation :
A bullish trend occurs when price remains above the lower band.
A bearish trend occurs when price remains below the upper band.
Trend shifts are highlighted with colored bars and lines for easy visualization.
How It Differs From Traditional SuperTrend
Uses Percentiles Instead of a Moving Average:
Traditional SuperTrend relies on ATR-based offsets from a moving average.
This version replaces the moving average with percentile smoothing, which adapts better to price behavior.
Better Noise Filtering:
Since percentiles are less sensitive to outliers, this indicator reduces false signals in choppy markets.
More Adaptive to Market Conditions:
The percentile smoothing dynamically adjusts trend detection based on price distribution rather than fixed calculations.
Why It’s Useful
✅ Reduces Whipsaws: Helps minimize false breakouts by using percentile-based bands instead of traditional ATR-only bands.
✅ Works in Different Market Conditions: Effective in both trending and ranging environments due to its adaptive nature.
✅ Enhances Trend Confidence: Provides clearer signals by filtering noise more effectively than standard SuperTrend indicators.
Application Examples
Trend Following: Use it to identify strong upward or downward trends.
Stop-Loss Placement: The upper and lower bands can serve as dynamic stop-loss levels.
Breakout Confirmation: Trend flips can confirm breakout signals from other indicators.
Mean Reversion Strategy Filtering: The 25-75 range helps identify strong versus weak reversals.
Risks & Disclaimers
Not a Standalone Strategy: This indicator should be used with other confirmation tools like volume analysis, momentum oscillators, or support/resistance levels.
False Signals in Sideways Markets: Although it reduces noise, choppy markets can still generate occasional false trend flips.
Market Adaptation Required: The best parameters may vary depending on the asset and timeframe.
This indicator was heavily inspired and influenced by the IRS/viResearch Median SuperTrend, improving upon its concept by transforming its median based calculation into a more responsive & effective counterpart of its former self.
Shoutout to all my Masterclass Brothers and L4 Gs !
Hyperbolic Tangent SuperTrend [InvestorUnknown]The Hyperbolic Tangent SuperTrend (HTST) is designed for technical analysis, particularly in markets with assets that have lower prices or price ratios. This indicator leverages the Hyperbolic Tangent Moving Average (HTMA), a custom moving average calculated using the hyperbolic tangent function, to smooth price data and reduce the impact of short-term volatility.
Hyperbolic Tangent Moving Average (HTMA):
The indicator's core uses a hyperbolic tangent function to calculate a smoothed average of the price. The HTMA provides enhanced trend-following capabilities by dampening the impact of sharp price swings and maintaining a focus on long-term market movements.
The hyperbolic tangent function (tanh) is commonly used in mathematical fields like calculus, machine learning and signal processing due to its properties of “squashing” inputs into a range between -1 and 1. The function provides a non-linear transformation that can reduce the impact of extreme values while retaining a certain level of smoothness.
tanh(x) =>
e_x = math.exp(x)
e_neg_x = math.exp(-x)
(e_x - e_neg_x) / (e_x + e_neg_x)
The HTMA is calculated by taking the difference between the price and its simple moving average (SMA), applying a multiplier to control sensitivity, and then transforming it using the hyperbolic tangent function.
htma(src, len, mul) =>
tanh_src = tanh((src - ta.sma(src, len)) * mul) * ta.stdev(src, len) + ta.sma(src, len)
htma = ta.sma(tanh_src, len)
Important Note: The Hyperbolic Tangent function becomes less accurate with very high prices. For assets priced above 100,000, the results may deteriorate, and for prices exceeding 1 million, the function may stop functioning properly. Therefore, this indicator is better suited for assets with lower prices or lower price ratios.
SuperTrend Calculation:
In addition to the HTMA, the indicator includes an Average True Range (ATR)-based SuperTrend calculation, which helps identify uptrends and downtrends in the market. The SuperTrend is adjusted dynamically using the HTMA to avoid false signals in fast-moving markets.
The ATR period and multiplier are customizable, allowing users to fine-tune the sensitivity of the trend signals.
pine_supertrend(src, calc_price, atrPeriod, factor) =>
atr = ta.atr(atrPeriod)
upperBand = src + factor * atr
lowerBand = src - factor * atr
prevLowerBand = nz(lowerBand )
prevUpperBand = nz(upperBand )
lowerBand := lowerBand > prevLowerBand or calc_price < prevLowerBand ? lowerBand : prevLowerBand
upperBand := upperBand < prevUpperBand or calc_price > prevUpperBand ? upperBand : prevUpperBand
int _direction = na
float superTrend = na
prevSuperTrend = superTrend
if na(atr )
_direction := 1
else if prevSuperTrend == prevUpperBand
_direction := calc_price > upperBand ? -1 : 1
else
_direction := calc_price < lowerBand ? 1 : -1
superTrend := _direction == -1 ? lowerBand : upperBand
Inbuilt Backtest Mode:
The HTST includes an inbuilt backtest mode that enables users to test the indicator's performance against historical data, similar to TradingView strategies.
The backtest mode allows you to compare the performance of different indicator settings with a simple buy and hold strategy to assess its effectiveness in different market conditions.
Hint Table for Display Modes:
The indicator includes a Hint Table that recommends the best pane to use for different display modes. For example, it suggests using the "Overlay" mode in the same pane as the price action, while the "Backtest Mode" is better suited for a separate pane. This ensures a more organized and clear visual experience.
The Hint Table appears as a small table at the bottom of the chart with easy-to-follow recommendations, ensuring the best setup for both visual clarity and indicator functionality.
With these features, the Hyperbolic Tangent SuperTrend Indicator offers traders a versatile and customizable tool for analyzing price trends while providing additional functionalities like backtesting and display mode hints for optimal usability.
Pivot Percentile Trend - Strategy [presentTrading]
█ Introduction and How it is Different
The "Pivot Percentile Trend - Strategy" from PresentTrading represents a paradigm shift in technical trading strategies. What sets this strategy apart is its innovative use of pivot percentiles, a method that goes beyond traditional indicator-based analyses. Unlike standard strategies that might depend on single-dimensional signals, this approach takes a multi-layered view of market movements, blending percentile calculations with SuperTrend indicators for a more nuanced and dynamic market analysis.
This strategy stands out for its ability to process multiple data points across various timeframes and pivot lengths, thereby capturing a broader and more detailed picture of market trends. It's not just about following the price; it's about understanding its position in the context of recent historical highs and lows, offering a more profound insight into potential market movements.
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Where traditional methods might react to market changes, the Pivot Percentile Trend strategy anticipates them, using a calculated approach to identify trend strengths and weaknesses. This foresight gives traders a significant advantage, allowing for more strategic decision-making and potentially increasing the chances of successful trades.
In essence, this strategy introduces a more comprehensive and proactive approach to trading, harnessing the power of advanced percentile calculations combined with the robustness of SuperTrend indicators. It's a strategy designed for traders who seek a deeper understanding of market dynamics and a more calculated approach to their trading decisions.
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█ Strategy, How It Works: Detailed Explanation
🔶 Percentile Calculations
- The strategy employs percentile calculations to assess the relative position of current market prices against historical data.
- For a set of lengths (e.g., `length * 1`, `length * 2`, up to `length * 7`), it calculates the 75th percentile for high values (`percentilesHigh`) and the 25th percentile for low values (`percentilesLow`).
- These percentiles provide a sense of where the current price stands compared to recent price ranges.
Length - 10
Length - 15
🔶 SuperTrend Indicator
- The SuperTrend indicator is a key component, providing trend direction signals.
- It uses the `currentTrendValue`, derived from the difference between bull and bear strengths calculated from the percentile data.
* used the Supertrend toolkit by @EliCobra
🔶 Trend Strength Counts
- The strategy calculates counts of bullish and bearish indicators based on comparisons between the current high and low against high and low percentiles.
- `countBull` and `countBear` track the number of times the current high is above the high percentiles and the current low is below the low percentiles, respectively.
- Weak bullish (`weakBullCount`) and bearish (`weakBearCount`) counts are also determined by how often the current lows and highs fall within the percentile range.
*The idea of this strength counts mainly comes from 'Trend Strength Over Time' @federalTacos5392b
🔶 Trend Value Calculation
- The `currentTrendValue` is a crucial metric, computed as `bullStrength - bearStrength`.
- It indicates the market's trend direction, where a positive value suggests a bullish trend and a negative value indicates a bearish trend.
🔶 Trade Entry and Exit Logic
- The entry points for trades are determined by the combination of the trend value and the direction indicated by the SuperTrend indicator.
- For a long entry (`shouldEnterLong`), the `currentTrendValue` must be positive and the SuperTrend indicator should show a downtrend.
- Conversely, for a short entry (`shouldEnterShort`), the `currentTrendValue` should be negative with the SuperTrend indicating an uptrend.
- The strategy closes positions when these conditions reverse.
█ Trade Direction
The strategy is versatile, allowing traders to choose their preferred trading direction: long, short, or both. This flexibility enables traders to tailor their strategies to their market outlook and risk appetite.
█ Default Settings and Customization
1. Trade Direction: Selectable as Long, Short, or Both, affecting the type of trades executed.
2. Indicator Source: Pivot Percentile Calculations, key for identifying market trends and reversals.
3. Lengths for Percentile Calculation: Various configurable lengths, influencing the scope of trend analysis.
4. SuperTrend Settings: ATR Length 20, Multiplier 18, affecting indicator sensitivity and trend detection.
5. Style Options: Custom colors for bullish (green) and bearish (red) trends, aiding visual interpretation.
6. Additional Settings: Includes contrarian signals and UI enhancements, offering strategic and visual flexibility.
Aleem Trend Supertrend EMA Title: "Supertrend and 200 EMA Crossover Strategy"
Description:
This script is designed to provide traders with a robust and original trading strategy by combining the Supertrend indicator with a 200-period Exponential Moving Average (EMA). The core concept is to utilize the strengths of both indicators to determine optimal entry and exit points.
The Supertrend indicator is well-regarded for its precision in signaling trend reversals by considering the volatility of the market, as measured by the Average True Range (ATR). It is particularly useful for identifying ongoing trends and potential reversals.
The 200 EMA is a widely-used indicator that many traders look to as a determinant of the long-term trend. When the price is above the 200 EMA, the overall market sentiment is considered bullish, and when below, bearish.
By combining these two, the script generates a Buy signal under the following conditions:
When the Supertrend turns bullish (color changes from red to green) with the closing price above the 200 EMA, or
When the price crosses above the 200 EMA while the Supertrend is already green.
A Sell signal is generated when:
The Supertrend turns bearish (color changes from green to red) with the closing price below the 200 EMA, or
The price crosses below the 200 EMA while the Supertrend is already red.
To avoid repetitive signals and to maintain clarity, the script has been enhanced with a feature to prevent multiple consecutive Buy or Sell signals. Once a Buy or Sell signal is generated, the script will not produce another identical signal until an opposing signal or an exit condition is met.
Exit signals for both Buy and Sell positions are provided to indicate when the trend is weakening or reversing, based on the Supertrend's color change in relation to the 200 EMA.
This strategy is flexible and can be utilized across various time frames and asset classes. It aims to aid traders in making more informed decisions by highlighting potential reversals and continuations in the market trend.
Usage:
To use this script, traders should observe the Buy and Sell signals as potential entry points. Exit signals should be taken as prompts to close positions or to protect profits with stop-loss adjustments. As with all strategies, it's recommended to use this in conjunction with other analysis methods and to backtest thoroughly before live implementation.
FlexiMA Variance Tracker - Strategy [presentTrading]█ Introduction and How It Is Different
The FlexiMA Variance Tracker by PresentTrading introduces a novel approach to technical trading strategies. Unlike traditional methods, it calculates deviations between a chosen indicator source (such as price or average) and a moving average with a variable length. This flexibility is achieved through a unique combination of a starting factor and an increment factor, allowing the moving average to adapt dynamically within a specified range. This strategy provides a more responsive and nuanced view of market trends, setting it apart from standard trading methodologies.
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Local
█ Strategy, How It Works: Detailed Explanation
The FlexiMA Variance Tracker, developed by PresentTrading, stands at the forefront of trading strategies, distinguished by its adaptive and multifaceted approach to market analysis. This strategy intricately weaves various technical elements to construct a comprehensive trading logic. Here's an in-depth professional breakdown:
🔶Foundation on Variable-Length Moving Averages:
Central to this strategy is the concept of variable-length Moving Averages (MAs). Unlike traditional MAs with a fixed period, this strategy dynamically adjusts the length of the MA based on a starting factor and an incremental factor. This approach allows the strategy to adapt to market volatility and trend strength more effectively.
Each MA iteration offers a distinct temporal perspective, capturing short-term price movements to long-term trends. This aggregation of various time frames provides a richer and more nuanced market analysis, essential for making informed trading decisions.
🔶Deviation Analysis and Normalization:
The strategy calculates deviations of the price (or the chosen indicator source) from each of these MAs. These deviations are pivotal in identifying the immediate market direction relative to the average trend captured by each MA.
To standardize these deviations for comparability, they undergo a normalization process. The choice of normalization method (Max-Min or Absolute Sum) can significantly influence the interpretation of market conditions, offering distinct insights into price movements and trend strength.
🔹Normalization: Absolute Sum
🔶Composite Oscillator Construction:
A composite oscillator is derived from the median of these normalized deviations. The median serves as a balanced and robust central trend indicator, minimizing the impact of outliers and market noise.
Additionally, the standard deviation of these deviations is computed, providing a measure of market volatility. This volatility indicator is crucial for assessing market risk and can guide traders in setting appropriate stop-loss and take-profit levels.
🔶Integration with SuperTrend Indicator:
The FlexiMA strategy integrates the SuperTrend indicator, renowned for its effectiveness in identifying trend direction and reversals. The SuperTrend's incorporation enhances the strategy's ability to filter out false signals and confirm genuine market trends.
* The SuperTrend Toolkit is made by @QuantiLuxe
This combination of the variable-length MA oscillator with the SuperTrend indicator forms a potent duo, offering traders a dual-confirmation mechanism for trade signals.
🔹Supertrend's incorporation
🔶Strategic Trade Signal Generation:
Trade signals are generated when there is a confluence between the composite oscillator and the SuperTrend indicator. For example, a long position signal might be considered when the oscillator suggests an uptrend, and the SuperTrend flips to bullish.
The strategy's parameters are fully customizable, enabling traders to tailor the signal generation process to their specific trading style, risk tolerance, and market conditions.
█ Usage
To effectively employ the FlexiMA Variance Tracker strategy:
Traders should set their desired trade direction and fine-tune the starting and increment factors according to their market analysis and risk tolerance.
Indicator Length: 5
Indicator Length: 40
The strategy is suitable for a wide range of markets and can be adapted to different time frames, making it a versatile tool for various trading scenarios.
█ Default Settings Impact on Performance: FlexiMA Variance Tracker
1. Trade Direction (Configurable: Long, Short, Both): Determines trade types. 'Long' for buying, 'Short' for selling, 'Both' adapts to market trends.
2. Indicator Source: HLC3: Balances market sentiment by considering high, low, and close, providing comprehensive period analysis.
4. Indicator Length (Default: 10): Baseline for moving averages. Shorter lengths increase responsiveness but add noise, while longer lengths favor trends.
5. Starting and Increment Factor (Default: 1.0): Adjusts MA lengths range. Higher values capture broad market dynamics, lower values focus analysis.
6. Normalization Method (Options: None, Max-Min, Absolute Sum): Standardizes deviations. 'None' for raw deviations, 'Max-Min' for relative scaling, 'Absolute Sum' emphasizes relative strength.
7. SuperTrend Settings (ATR Length: 10, Multiplier: 15.0): Influences indicator sensitivity. Short ATR or high multiplier for short-term, long ATR or low multiplier for long-term trends.
8. Additional Settings (Mesh Style, Color Customization): Enhances visual clarity. Mesh style for detailed deviation view, colors for quick market condition identification.
AI SuperTrend - Strategy [presentTrading]
█ Introduction and How it is Different
The AI Supertrend Strategy is a unique hybrid approach that employs both traditional technical indicators and machine learning techniques. Unlike standard strategies that rely solely on traditional indicators or mathematical models, this strategy integrates the power of k-Nearest Neighbors (KNN), a machine learning algorithm, with the tried-and-true SuperTrend indicator. This blend aims to provide traders with more accurate, responsive, and context-aware trading signals.
*The KNN part is mainly referred from @Zeiierman.
BTCUSD 8hr performance
ETHUSD 8hr performance
█ Strategy, How it Works: Detailed Explanation
SuperTrend Calculation
Volume-Weighted Moving Average (VWMA): A VWMA of the close price is calculated based on the user-defined length (len). This serves as the central line around which the upper and lower bands are calculated.
Average True Range (ATR): ATR is calculated over a period defined by len. It measures the market's volatility.
Upper and Lower Bands: The upper band is calculated as VWMA + (factor * ATR) and the lower band as VWMA - (factor * ATR). The factor is a user-defined multiplier that decides how wide the bands should be.
KNN Algorithm
Data Collection: An array (data) is populated with recent n SuperTrend values. Corresponding labels (labels) are determined by whether the weighted moving average price (price) is greater than the weighted moving average of the SuperTrend (sT).
Distance Calculation: The absolute distance between each data point and the current SuperTrend value is calculated.
Sorting & Weighting: The distances are sorted in ascending order, and the closest k points are selected. Each point is weighted by the inverse of its distance to the current point.
Classification: A weighted sum of the labels of the k closest points is calculated. If the sum is closer to 1, the trend is predicted as bullish; if closer to 0, bearish.
Signal Generation
Start of Trend: A new bullish trend (Start_TrendUp) is considered to have started if the current trend color is bullish and the previous was not bullish. Similarly for bearish trends (Start_TrendDn).
Trend Continuation: A bullish trend (TrendUp) is considered to be continuing if the direction is negative and the KNN prediction is 1. Similarly for bearish trends (TrendDn).
Trading Logic
Long Condition: If Start_TrendUp or TrendUp is true, a long position is entered.
Short Condition: If Start_TrendDn or TrendDn is true, a short position is entered.
Exit Condition: Dynamic trailing stops are used for exits. If the trend does not continue as indicated by the KNN prediction and SuperTrend direction, an exit signal is generated.
The synergy between SuperTrend and KNN aims to filter out noise and produce more reliable trading signals. While SuperTrend provides a broad sense of the market direction, KNN refines this by predicting short-term price movements, leading to a more nuanced trading strategy.
Local picture
█ Trade Direction
The strategy allows traders to choose between taking only long positions, only short positions, or both. This is particularly useful for adapting to different market conditions.
█ Usage
ToolTips: Explains what each parameter does and how to adjust them.
Inputs: Customize values like the number of neighbors in KNN, ATR multiplier, and moving average type.
Plotting: Visual cues on the chart to indicate bullish or bearish trends.
Order Execution: Based on the generated signals, the strategy will execute buy/sell orders.
█ Default Settings
The default settings are selected to provide a balanced approach, but they can be modified for different trading styles and asset classes.
Initial Capital: $10,000
Default Quantity Type: 10% of equity
Commission: 0.1%
Slippage: 1
Currency: USD
By combining both machine learning and traditional technical analysis, this strategy offers a sophisticated and adaptive trading solution.
Elliott Wave with Supertrend Exit - Strategy [presentTrading]## Introduction and How it is Different
The Elliott Wave with Supertrend Exit provides automated detection and validation of Elliott Wave patterns for algorithmic trading. It is designed to objectively identify high-probability wave formations and signal entries based on confirmed impulsive and corrective patterns.
* The Elliott part is mostly referenced from Elliott Wave by @LuxAlgo
Key advantages compared to discretionary Elliott Wave analysis:
- Wave Labeling and Counting: The strategy programmatically identifies swing pivot highs/lows with the Zigzag indicator and analyzes the waves between them. It labels the potential impulsive and corrective patterns as they form. This removes the subjectivity of manual wave counting.
- Pattern Validation: A rules-based engine confirms valid impulsive and corrective patterns by checking relative size relationships and fib ratios. Only confirmed wave counts are plotted and traded.
- Objective Entry Signals: Trades are entered systematically on the start of new impulsive waves in the direction of the trend. Pattern failures invalidate setups and stop out positions.
- Automated Trade Management: The strategy defines specific rules for profit targets at fib extensions, trailing stops at swing points, and exits on Supertrend reversals. This automates the entire trade lifecycle.
- Adaptability: The waveform recognition engine can be tuned by adjusting parameters like Zigzag depth and Supertrend settings. It adapts to evolving market conditions.
ETH 1hr chart
In summary, the strategy brings automation, objectivity and adaptability to Elliott Wave trading - removing subjective interpretation errors and emotional trading biases. It implements a rules-based, algorithmic approach for systematically trading Elliott Wave patterns across markets and timeframes.
## Trading Logic and Rules
The strategy follows specific trading rules based on the detected and validated Elliott Wave patterns.
Entry Rules
- Long entry when a new impulsive bullish (5-wave) pattern forms
- Short entry when a new impulsive bearish (5-wave) pattern forms
The key is entering on the start of a new potential trend wave rather than chasing.
Exit Rules
- Invalidation of wave pattern stops out the trade
- Close long trades on Supertrend downturn
- Close short trades on Supertrend upturn
- Use a stop loss of 10% of entry price (configurable)
Trade Management
- Scale out partial profits at Fibonacci levels
- Move stop to breakeven when price reaches 1.618 extension
- Trail stops below key swing points
- Target exits at next Fibonacci projection level
Risk Management
- Use stop losses on all trades
- Trade only highest probability setups
- Size positions according to chart timeframe
- Avoid overtrading when no clear patterns emerge
## Strategy - How it Works
The core logic follows these steps:
1. Find swing highs/lows with Zigzag indicator
2. Analyze pivot points to detect impulsive 5-wave patterns:
- Waves 1, 3, and 5 should not overlap
- Waves 3 and 5 must be longer than wave 1
- Confirm relative size relationships between waves
3. Validate corrective 3-wave patterns:
- Look for overlapping, choppy waves that retrace the prior impulsive wave
4. Plot validated waves and Fibonacci retracement levels
5. Signal entries when a new impulsive wave pattern forms
6. Manage exits based on pattern failures and Supertrend reversals
Impulsive Wave Validation
The strategy checks relative size relationships to confirm valid impulsive waves.
For uptrends, it ensures:
```
Copy code- Wave 3 is longer than wave 1
- Wave 5 is longer than wave 2
- Waves do not overlap
```
Corrective Wave Validation
The strategy identifies overlapping corrective patterns that retrace the prior impulsive wave within Fibonacci levels.
Pattern Failure Invalidation
If waves fail validation tests, the strategy invalidates the pattern and stops signaling trades.
## Trade Direction
The strategy detects impulsive and corrective patterns in both uptrends and downtrends. Entries are signaled in the direction of the validated wave pattern.
## Usage
- Use on charts showing clear Elliott Wave patterns
- Start with daily or weekly timeframes to gauge overall trend
- Optimize Zigzag and Supertrend settings as needed
- Consider combining with other indicators for confirmation
## Default Settings
- Zigzag Length: 4 bars
- Supertrend Length: 10 bars
- Supertrend Multiplier: 3
- Stop Loss: 10% of entry price
- Trading Direction: Both
TASC 2023.07 Keeping With The Larger Trend█ OVERVIEW
TASC's July 2023 edition of Traders' Tips features an article by Barbara Star titled "Stay On Track With The Supertrend Indicator". The article explores how the supertrend indicator , whether used as a standalone tool or in conjunction with other indicators, can assist traders in aligning with the larger trend. Drawing inspiration from the article, this script enhances the supertrend indicator with additional visual and analytical features, making it easier to analyze the readings and make informed trading decisions.
█ CONCEPTS
Over the past few years, the supertrend indicator has gained significant popularity among traders. Unlike moving averages, it incorporates both price and volatility information, enabling traders to navigate upward or downward trends despite occasional price disruptions.
When using the supertrend indicator, a trader may consider entering a long position when the price surpasses the supertrend line or retraces to it after the initial crossover. Similarly, for short positions, a trader could enter when the price drops below the supertrend line or retests it. Exiting these positions can be triggered by the opposite scenario, such as a price drop below the supertrend line for long positions or a price rise above the supertrend line for short positions. To assist in monitoring the distance between the price and the indicator line, this script introduces the following display features:
Breach levels, representing fractions of the most recent maximum distance.
On-chart signals indicating crossings of the highest and lowest breach levels.
An infobox displaying the average value of the maximum distance.
█ CALCULATIONS
For calculating the supertrend line, this script uses the built-in function ta.supertrend() . Additionally, the script showcases the use of state-of-the-art PineScript® functionality, including methods and tables .
Kitchen [ilovealgotrading]
OVERVIEW:
Kitchen is a strategy that aims to trade in the direction of the trend by using supertrend and stochRsi data by calculating at different time values.
IMPLEMENTATION DETAILS – SETTINGS:
First of all, let's understand the supertrend and stocrsi indicators.
How do you read and use Super Trend for trading ?
The price is often going upwards when it breaks the super trend line while keeping its position above the indication level.
When the market is in a bullish trend, the indicator becomes green. The indicator level will act as trendline support in such a scenario. The color of the indicator changes to red to indicate a negative trend once the price crosses the support line. The price uses the super trend level as a trendline resistance during a bearish move.
In our strategy, if our 1-hour and 4-hour supertrend lines show the up or down train in the same direction at the same time, we can assume that a train is forming here.
Why do I use the time of 1 hour and 4 hours ?
When I did a backtest from the past to the present, I discovered that the most accurate and consistent time zones are the 1 hour and 4 hour time zones.
By the way we can change our short term timeframe(1H) and long term timeframe(4H) from settings panel.
How do you read and use the Stoch-RSI Indicator?
This indicator analyzes price dynamics automatically to detect overbought and oversold locations.
The indicator includes:
- The primary line, which typically has values between 0 and 100;
- Two dynamic levels for overbought and oversold conditions.
IF our stoch-rsi indicator value has fallen below our lower boundary line, the oversold event has been observed in the price, if our stoch-rsi value breaks up our bottom line after becoming oversold, we think that the price will start the recovery phase.(The case is also true for the opposite.)
However, this does not always apply and we need additional approvals, Therefore, our 1H and 4H supertrrend indicator provides us with additional confirmation.
Buy Condition:
Our 1H(short term) and 4H(long term) supertrrend indicator, has given the buy signal(green line and yellow line), and if our stochrsi indicator has broken our oversold line up on the past 15 bars, the buy signal is formed here.
Sell Condition:
Our 1H(short term) and 4H(long term) supertrrend indicator, has given the sell signal(red line and orange line), and if our stochrsi indicator has broken our overbuy line down on the past 15 bars, the sell signal is formed here.
Stop Loss or Take Profit Conditions:
Exit Long Senerio:
All conditions are completed, the buy signal has arrived and we have entered a LONG trade, the 1-hour supertrend line follows the price rise(yellow line), if the price breaks below the 1-hour super trend line and a sell condition occurs for 1H timeframe for supertrend indcator, LONG trade will exit here.
Exit Short Senerio:
All conditions are completed, the Sell signal has arrived and we have entered a SHORT trade, the 1-hour supertrend line follows the price down(orange line), if the price breaks up the 1-hour super trend line and a buy condition occurs for 1H timeframe for supertrend indcator, SHORT trade will exit here.
What can you change in the settings panel?
1-We can set Start and End date for backtest and future alarms
2-We can set ATR length and Factor for supertrend indicator
3-We can set our short term and long term timeframe value
4-We can set StochRsi Up and Low limit to confirm buy and sell conditions
5-We can set stochrsi retroactive approval length
6-We can set stochrsi values or the length
7-We can set Dollar cost for per position
8- We can choose the direction of our positions, we can set only LONG, only SHORT or both directions.
9-IF you want to place automatic buy and sell orders with this strategy, you can paste your codes into the Long open-close or Short open-close message sections.
For example
IF you write your alert window this code {{strategy.order.alert_message}}.
When trigger Long signal you will get dynamically what you pasted here for Long Open Message
ALSO:
Please do not open trades without properly managing your risk and psychology!!!
If you have any ideas what to add to my work to add more sources or make calculations cooler, suggest in DM .
Volume MAs Supertrend | Lyro RS📊 Volume MAs Supertrend | Lyro RS is an advanced trading tool that combines volume-adjusted moving averages with a dynamic Supertrend system. This indicator provides a robust framework for identifying market trends and entry/exit points.
✨ Key Features :
📈 Volume-Weighted Moving Averages (VWMA): Integrates price and volume data to provide a more accurate moving average, allowing for better trend analysis.
🔧 Multiple MA Types: Choose from SMA, EMA, WMA, VWMA, DEMA, TEMA, RMA, HMA, ALMA to suit your preferred trading strategy.
📊 Dual-Multiplier Supertrend System: Uses ATR to dynamically calculate upper and lower bands for long and short trends, with distinct multipliers for each.
🎨 Customizable Color Schemes: Choose from Classic, Mystic, Accented, and Royal color palettes or customize your own colors for bullish and bearish trends.
🔍 Visual Enhancements: Color-coded Supertrend lines, candlesticks, and bars for quick trend identification.
⏰ Alert System: Alerts for long and short signals based on trend changes.
🔧 How It Works :
The Supertrend line is calculated using ATR over a user-defined period, with separate multipliers for long and short positions.
📈 A bullish trend is signaled when the price crosses above the upper band, and a bearish trend is signaled when the price crosses below the lower band.
🎨 The Supertrend line changes color to reflect trend direction, with candlesticks and bars matching the trend's color for visual clarity.
⚙️ Customization Options :
🛠️ Moving Average Settings: Select your preferred moving average type (SMA, EMA, VWMA, etc.) and adjust the length for smoother or more responsive trend signals.
📐 Supertrend Parameters: Define the ATR period and adjust multipliers to fine-tune sensitivity for long and short signals.
🎨 Color Configuration: Choose from predefined color palettes or create your own custom scheme for trend signals.
📈 Use Cases :
✅ Confirm market trends before entering trades.
🚪 Identify potential entry/exit points as trend directions shift.
👀 Visually analyze market conditions with color-coded candlesticks and bars.
⚠️ Disclaimer :
This indicator should not be used as a standalone tool for making trading decisions. Always combine with other forms of analysis and risk management practices.
Heiken Ashi Supertrend ADXHeiken Ashi Supertrend ADX Indicator
Overview
This indicator combines the power of Heiken Ashi candles, Supertrend indicator, and ADX filter to identify strong trend movements across multiple timeframes. Designed primarily for the cryptocurrency market but adaptable to any tradable asset, this system focuses on capturing momentum in established trends while employing a sophisticated triple-layer stop loss mechanism to protect capital and secure profits.
Strategy Mechanics
Entry Signals
The strategy uses a unique blend of technical signals to identify high-probability trade entries:
Heiken Ashi Candles: Looks specifically for Heiken Ashi candles with minimal or no wicks, which signal strong momentum and trend continuation. These "full-bodied" candles represent periods where price moved decisively in one direction with minimal retracement. These are overlayed onto normal candes for more accuarte signalling and plotting
Supertrend Filter: Confirms the underlying trend direction using the Supertrend indicator (default factor: 3.0, ATR period: 10). Entries are aligned with the prevailing Supertrend direction.
ADX Filter (Optional) : Can be enabled to focus only on stronger trending conditions, filtering out choppy or ranging markets. When enabled, trades only trigger when ADX is above the specified threshold (default: 25).
Exit Signals
Positions are closed when either:
An opposing signal appears (Heiken Ashi candle with no wick in the opposite direction)
Any of the three stop loss mechanisms are triggered
Triple-Layer Stop Loss System
The strategy employs a sophisticated three-tier stop loss approach:
ATR Trailing Stop: Adapts to market volatility and locks in profits as the trend extends. This stop moves in the direction of the trade, capturing profit without exiting too early during normal price fluctuations.
Swing Point Stop: Uses natural market structure (recent highs/lows over a lookback period) to place stops at logical support/resistance levels, honoring the market's own rhythm.
Insurance Stop: A percentage-based safety net that protects against sudden adverse moves immediately after entry. This is particularly valuable when the swing point stop might be positioned too far from entry, providing immediate capital protection.
Optimization Features
Customizable Filters : All components (Supertrend, ADX) can be enabled/disabled to adapt to different market conditions
Adjustable Parameters : Fine-tune ATR periods, Supertrend factors, and ADX thresholds
Flexible Stop Loss Settings : Each of the three stop loss mechanisms can be individually enabled/disabled with customizable parameters
Best Practices for Implementation
[Recommended Timeframes : Works best on 4-hour charts and above, where trends develop more reliably
Market Conditions: Performs well across various market conditions due to the ADX filter's ability to identify meaningful trends
Performance Characteristics
When properly optimized, this has demonstrated profit factors exceeding 3 in backtesting. The approach typically produces generous winners while limiting losses through its multi-layered stop loss system. The ATR trailing stop is particularly effective at capturing extended trends, while the insurance stop provides immediate protection against adverse moves.
The visual components on the chart make it easy to follow the strategy's logic, with position status, entry prices, and current stop levels clearly displayed.
This indicator represents a complete trading system with clearly defined entry and exit rules, adaptive stop loss mechanisms, and built-in risk management through position sizing.
Heiken Ashi Supertrend ADX - StrategyHeiken Ashi Supertrend ADX Strategy
Overview
This strategy combines the power of Heiken Ashi candles, Supertrend indicator, and ADX filter to identify strong trend movements across multiple timeframes. Designed primarily for the cryptocurrency market but adaptable to any tradable asset, this system focuses on capturing momentum in established trends while employing a sophisticated triple-layer stop loss mechanism to protect capital and secure profits.
Strategy Mechanics
Entry Signals
The strategy uses a unique blend of technical signals to identify high-probability trade entries:
Heiken Ashi Candles: Looks specifically for Heiken Ashi candles with minimal or no wicks, which signal strong momentum and trend continuation. These "full-bodied" candles represent periods where price moved decisively in one direction with minimal retracement.
Supertrend Filter : Confirms the underlying trend direction using the Supertrend indicator (default factor: 3.0, ATR period: 10). Entries are aligned with the prevailing Supertrend direction.
ADX Filter (Optional) : Can be enabled to focus only on stronger trending conditions, filtering out choppy or ranging markets. When enabled, trades only trigger when ADX is above the specified threshold (default: 25).
Exit Signals
Positions are closed when either:
An opposing signal appears (Heiken Ashi candle with no wick in the opposite direction)
Any of the three stop loss mechanisms are triggered
Triple-Layer Stop Loss System
The strategy employs a sophisticated three-tier stop loss approach:
ATR Trailing Stop: Adapts to market volatility and locks in profits as the trend extends. This stop moves in the direction of the trade, capturing profit without exiting too early during normal price fluctuations.
Swing Point Stop : Uses natural market structure (recent highs/lows over a lookback period) to place stops at logical support/resistance levels, honoring the market's own rhythm.
Insurance Stop: A percentage-based safety net that protects against sudden adverse moves immediately after entry. This is particularly valuable when the swing point stop might be positioned too far from entry, providing immediate capital protection.
Optimization Features
Customizable Filters: All components (Supertrend, ADX) can be enabled/disabled to adapt to different market conditions
Adjustable Parameters: Fine-tune ATR periods, Supertrend factors, and ADX thresholds
Flexible Stop Loss Settings: Each of the three stop loss mechanisms can be individually enabled/disabled with customizable parameters
Best Practices for Implementation
Recommended Timeframes: Works best on 4-hour charts and above, where trends develop more reliably
Market Conditions: Performs well across various market conditions due to the ADX filter's ability to identify meaningful trends
Position Sizing: The strategy uses a percentage of equity approach (default: 3%) for position sizing
Performance Characteristics
When properly optimized, this strategy has demonstrated profit factors exceeding 3 in backtesting. The approach typically produces generous winners while limiting losses through its multi-layered stop loss system. The ATR trailing stop is particularly effective at capturing extended trends, while the insurance stop provides immediate protection against adverse moves.
The visual components on the chart make it easy to follow the strategy's logic, with position status, entry prices, and current stop levels clearly displayed.
This strategy represents a complete trading system with clearly defined entry and exit rules, adaptive stop loss mechanisms, and built-in risk management through position sizing.
DAILY Supertrend + EMA Crossover with RSI FilterThis strategy is a technical trading approach that combines multiple indicators—Supertrend, Exponential Moving Averages (EMAs), and the Relative Strength Index (RSI)—to identify and manage trades.
Core Components:
1. Exponential Moving Averages (EMAs):
Two EMAs, one with a shorter period (fast) and one with a longer period (slow), are calculated. The idea is to spot when the faster EMA crosses above or below the slower EMA. A fast EMA crossing above the slow EMA often suggests upward momentum, while crossing below suggests downward momentum.
2. Supertrend Indicator:
The Supertrend uses Average True Range (ATR) to establish dynamic support and resistance lines. These lines shift above or below price depending on the prevailing trend. When price is above the Supertrend line, the trend is considered bullish; when below, it’s considered bearish. This helps ensure that the strategy trades only in the direction of the overall trend rather than against it.
3. RSI Filter:
The RSI measures momentum. It helps avoid buying into markets that are already overbought or selling into markets that are oversold. For example, when going long (buying), the strategy only proceeds if the RSI is not too high, and when going short (selling), it only proceeds if the RSI is not too low. This filter is meant to improve the quality of the trades by reducing the chance of entering right before a reversal.
4. Time Filters:
The strategy only triggers entries during user-specified date and time ranges. This is useful if one wants to limit trading activity to certain trading sessions or periods with higher market liquidity.
5. Risk Management via ATR-based Stops and Targets:
Both stop loss and take profit levels are set as multiples of the ATR. ATR measures volatility, so when volatility is higher, both stops and profit targets adjust to give the trade more breathing room. Conversely, when volatility is low, stops and targets tighten. This dynamic approach helps maintain consistent risk management regardless of market conditions.
Overall Logic Flow:
- First, the market conditions are analyzed through EMAs, Supertrend, and RSI.
- When a buy (long) condition is met—meaning the fast EMA crosses above the slow EMA, the trend is bullish according to Supertrend, and RSI is below the specified “overbought” threshold—the strategy initiates or adds to a long position.
- Similarly, when a sell (short) condition is met—meaning the fast EMA crosses below the slow EMA, the trend is bearish, and RSI is above the specified “oversold” threshold—it initiates or adds to a short position.
- Each position is protected by an automatically calculated stop loss and a take profit level based on ATR multiples.
Intended Result:
By blending trend detection, momentum filtering, and volatility-adjusted risk management, the strategy aims to capture moves in the primary trend direction while avoiding entries at excessively stretched prices. Allowing multiple entries can potentially amplify gains in strong trends but also increases exposure, which traders should consider in their risk management approach.
In essence, this strategy tries to ride established trends as indicated by the Supertrend and EMAs, filter out poor-quality entries using RSI, and dynamically manage trade risk through ATR-based stops and targets.
Trend Deviation strategy - BTC [IkkeOmar]Intro:
This is an example if anyone needs a push to get started with making strategies in pine script. This is an example on BTC, obviously it isn't a good strategy, and I wouldn't share my own good strategies because of alpha decay.
This strategy integrates several technical indicators to determine market trends and potential trade setups. These indicators include:
Directional Movement Index (DMI)
Bollinger Bands (BB)
Schaff Trend Cycle (STC)
Moving Average Convergence Divergence (MACD)
Momentum Indicator
Aroon Indicator
Supertrend Indicator
Relative Strength Index (RSI)
Exponential Moving Average (EMA)
Volume Weighted Average Price (VWAP)
It's crucial for you guys to understand the strengths and weaknesses of each indicator and identify synergies between them to improve the strategy's effectiveness.
Indicator Settings:
DMI (Directional Movement Index):
Length: This parameter determines the number of bars used in calculating the DMI. A higher length may provide smoother results but might lag behind the actual price action.
Bollinger Bands:
Length: This parameter specifies the number of bars used to calculate the moving average for the Bollinger Bands. A longer length results in a smoother average but might lag behind the price action.
Multiplier: The multiplier determines the width of the Bollinger Bands. It scales the standard deviation of the price data. A higher multiplier leads to wider bands, indicating increased volatility, while a lower multiplier results in narrower bands, suggesting decreased volatility.
Schaff Trend Cycle (STC):
Length: This parameter defines the length of the STC calculation. A longer length may result in smoother but slower-moving signals.
Fast Length: Specifies the length of the fast moving average component in the STC calculation.
Slow Length: Specifies the length of the slow moving average component in the STC calculation.
MACD (Moving Average Convergence Divergence):
Fast Length: Determines the number of bars used to calculate the fast EMA (Exponential Moving Average) in the MACD.
Slow Length: Specifies the number of bars used to calculate the slow EMA in the MACD.
Signal Length: Defines the number of bars used to calculate the signal line, which is typically an EMA of the MACD line.
Momentum Indicator:
Length: This parameter sets the number of bars over which momentum is calculated. A longer length may provide smoother momentum readings but might lag behind significant price changes.
Aroon Indicator:
Length: Specifies the number of bars over which the Aroon indicator calculates its values. A longer length may result in smoother Aroon readings but might lag behind significant market movements.
Supertrend Indicator:
Trendline Length: Determines the length of the period used in the Supertrend calculation. A longer length results in a smoother trendline but might lag behind recent price changes.
Trendline Factor: Specifies the multiplier used in calculating the trendline. It affects the sensitivity of the indicator to price changes.
RSI (Relative Strength Index):
Length: This parameter sets the number of bars over which RSI calculates its values. A longer length may result in smoother RSI readings but might lag behind significant price changes.
EMA (Exponential Moving Average):
Fast EMA: Specifies the number of bars used to calculate the fast EMA. A shorter period results in a more responsive EMA to recent price changes.
Slow EMA: Determines the number of bars used to calculate the slow EMA. A longer period results in a smoother EMA but might lag behind recent price changes.
VWAP (Volume Weighted Average Price):
Default settings are typically used for VWAP calculations, which consider the volume traded at each price level over a specific period. This indicator provides insights into the average price weighted by trading volume.
backtest range and rules:
You can specify the start date for backtesting purposes.
You can can select the desired trade direction: Long, Short, or Both.
Entry and Exit Conditions:
LONG:
DMI Cross Up: The Directional Movement Index (DMI) indicates a bullish trend when the positive directional movement (+DI) crosses above the negative directional movement (-DI).
Bollinger Bands (BB): The price is below the upper Bollinger Band, indicating a potential reversal from the upper band.
Momentum Indicator: Momentum is positive, suggesting increasing buying pressure.
MACD (Moving Average Convergence Divergence): The MACD line is above the signal line, indicating bullish momentum.
Supertrend Indicator: The Supertrend indicator signals an uptrend.
Schaff Trend Cycle (STC): The STC indicates a bullish trend.
Aroon Indicator: The Aroon indicator signals a bullish trend or crossover.
When all these conditions are met simultaneously, the strategy considers it a favorable opportunity to enter a long trade.
SHORT:
DMI Cross Down: The Directional Movement Index (DMI) indicates a bearish trend when the negative directional movement (-DI) crosses above the positive directional movement (+DI).
Bollinger Bands (BB): The price is above the lower Bollinger Band, suggesting a potential reversal from the lower band.
Momentum Indicator: Momentum is negative, indicating increasing selling pressure.
MACD (Moving Average Convergence Divergence): The MACD line is below the signal line, signaling bearish momentum.
Supertrend Indicator: The Supertrend indicator signals a downtrend.
Schaff Trend Cycle (STC): The STC indicates a bearish trend.
Aroon Indicator: The Aroon indicator signals a bearish trend or crossover.
When all these conditions align, the strategy considers it an opportune moment to enter a short trade.
Disclaimer:
THIS ISN'T AN OPTIMAL STRATEGY AT ALL! It was just an old project from when I started learning pine script!
The backtest doesn't promise the same results in the future, always do both in-sample and out-of-sample testing when backtesting a strategy. And make sure you forward test it as well before implementing it!
Furthermore this strategy uses both trend and mean-reversion systems, that is usually a no-go if you want to build robust trend systems .
Don't hesitate to comment if you have any questions or if you have some good notes for a beginner.
Master Supertrend [Trendoscope]Are you a fan of supertrend? Me too!! Here is a supertrend indicator which provides multiple variation options to chose from.
🎲 Introduction
Supertrend is a popular technical indicator used by traders to identify potential trend reversals and determine entry and exit points in financial markets. It is a trend-following indicator that combines price and volatility to generate its signals. Generally supertrend is calculated based on ATR and multiplier value which is used for calculation of stops. In these adaptions, we look to provide few variations to classical methods.
🎲 Variations
Following variations are provided in the form of settings.
🎯 Range Type
Instead of ATR, different types of ranges can be used for stop calculation. Here is the complete list used in the script.
Plus/Minus Range - Calculates plus range and minus range for each candle and uses them for different sides of stop calculation
Ladder ATR - Based on the existing concept of Ladder ATR defined in Supertrend-Ladder-ATR
True Range - True range derived from standard function ta.tr
Standard Deviation - Standard deviation of close prices
🎯 Applied Calculation
In standard ATR, rma of TR is used for calculations. But, the application calculation provides option to users to use different mechanisms. It can be a type of moving average or few other types of calculations.
Available values are
sma
ema
hma
rma
wma
high
median
medianHigh (Highest of the last N medians)
medianLow (Lowest of the last N medians)
🎯 Other options
Few other options provided are
Use Close Price - If selected stops are calculated based on the close price instead of high/low prices
Wait for Close If selected, change of supertrend direction is calculated based on close price instead of high/low prices
Diminishing Stop Distance - When selected, stop distance for the trend direction can only reduce and cannot increase. This option is useful for keeping the tight stops on strong trends.
🎯 Plus Minus Range
One of the range type used is Plus/Minus Range. What it means and how are these ranges calculated? Let's have a look.
Plus Range is an upward movement of a candle from its last price or open price whichever is lower.
Minus Range is a downward movement of a candle from its last price or open price whichever is higher.
This divides True Range into two separate range for positive and negative side.
Here are the simple settings in nutshell which reflects the same.
Heiken Ashi Supertrend ATR-SL StrategyThis indicator combines Heikin Ashi candle pattern analysis with Supertrend to generate high-probability trading signals with built-in risk management. It identifies potential entries and exits based on specific Heikin Ashi candlestick formations while providing automated ATR-based stop loss management.
Trading Logic:
The system generates long signals when a green Heikin Ashi candle forms with no bottom wick (indicating strong bullish momentum). Short signals appear when a red Heikin Ashi candle forms with no top wick (showing strong bearish momentum). The absence of wicks on these candles signals a high-conviction market move in the respective direction.
Exit signals are triggered when:
1. An opposite pattern forms (red candle with no top wick exits longs; green candle with no bottom wick exits shorts)
2. The ATR-based stop loss is hit
3. The break-even stop is activated and then hit
Technical Approach:
- Select Heiken Ashi Canldes on your Trading View chart. Entried are based on HA prices.
- Supertrend and ATR-based stop losses use real price data (not HA values) for trend determination
- ATR-based stop losses automatically adjust to market volatility
- Break-even functionality moves the stop to entry price once price moves a specified ATR multiple in your favor
Risk Management:
- Default starting capital: 1000 units
- Default risk per trade: 10% of equity (customizable in strategy settings)
- Hard Stop Loss: Set ATR multiplier (default: 2.0) for automatic stop placement
- Break Even: Configure ATR threshold (default: 1.0) to activate break-even stops
- Appropriate position sizing relative to equity and stop distance
Customization Options:
- Supertrend Settings:
- Enable/disable Supertrend filtering (trade only in confirmed trend direction)
- Adjust Factor (default: 3.0) to change sensitivity
- Modify ATR Period (default: 10) to adapt to different timeframes
Visual Elements:
- Green triangles for long entries, blue triangles for short entries
- X-marks for exits and stop loss hits
- Color-coded position background (green for long, blue for short)
- Clearly visible stop loss lines (red for hard stop, white for break-even)
- Comprehensive position information label with entry price and stop details
Implementation Notes:
The indicator tracks positions internally and maintains state across bars to properly manage stop levels. All calculations use confirmed bars only, with no repainting or lookahead bias. The system is designed for swing trading on timeframes from 1-hour and above, where Heikin Ashi patterns tend to be more reliable.
This indicator is best suited for traders looking to combine the pattern recognition strengths of Heikin Ashi candles with the trend-following capabilities of Supertrend, all while maintaining disciplined risk management through automated stops.
3x Supertrend + EMA200 Signal Buy/Sell [nsen]The indicator uses signals from three Supertrend lines to determine whether to trade Buy or Sell, with the assistance of a moving average for bias.
Buy/Sell signals are generated when the conditions are met:
A Buy signal is triggered when all three Supertrend lines indicate a bullish trend and are above the EMA.
A Sell signal is triggered when all three Supertrend lines indicate a bearish trend and are below the EMA.
Indicator ใช้สัญญาณจาก Supertrend ทั้งหมด 3 เส้น โดยใช้ในการกำหนดว่าจะเลือกเทรด Buy หรือ Sell โดยการใช้ moveing average เข้ามาช่วยในการ bias
แสดงสัญญาณ Buy/Sell เมื่อเข้าเงื่อนไข
- Supertrend ทั้ง 3 เส้นเป็นสัญญาณ Bullish และอยู่เหนือเส้น EMA จะเปิดสัญญาณ Buy
- Supertrend ทั้ง 3 เส้นเป็นสัญญาณ Bearish และอยู่ใต้เส้น EMA จะเปิดสัญญาณ Sell
