OPEN-SOURCE SCRIPT
Self-Adaptive Trend Signals [AlgoAlpha]
🟠 OVERVIEW
This script builds on the SuperTrend by replacing its fixed ATR multiplier with one that learns from recent pullback behavior. Instead of assuming every market needs the same amount of room, it continuously measures how deep pullbacks normally become during uptrends and downtrends, then adjusts the trend line to match.
The learning process is separated for bullish and bearish markets because both often behave differently. As new price data arrives, the trend line gradually adapts while remaining stable through smoothing and configurable limits. The result is a SuperTrend that responds to changing market conditions without requiring manual multiplier adjustments.
🟠 CONCEPTS
🟠 FEATURES
🟠 HOW TO USE
🟠 CONCLUSION
Self-Adaptive Trend Signals combines a SuperTrend with a continuously learned pullback model instead of relying on a fixed ATR multiplier. It adapts independently to bullish and bearish market conditions while providing trend signals, pullback visualization and learning feedback. This gives traders a trend line whose trailing distance reflects recent market behavior rather than remaining static.
This script builds on the SuperTrend by replacing its fixed ATR multiplier with one that learns from recent pullback behavior. Instead of assuming every market needs the same amount of room, it continuously measures how deep pullbacks normally become during uptrends and downtrends, then adjusts the trend line to match.
The learning process is separated for bullish and bearish markets because both often behave differently. As new price data arrives, the trend line gradually adapts while remaining stable through smoothing and configurable limits. The result is a SuperTrend that responds to changing market conditions without requiring manual multiplier adjustments.
🟠 CONCEPTS
- Adaptive Pullback Room — The ATR multiplier is learned from recent pullbacks instead of remaining fixed. The selected pullback percentile becomes the amount of room given to the trend line.
- Pullback Coverage — Selects which percentage of historical pullbacks the trend line should accommodate. Higher values create wider trend lines while lower values produce tighter ones.
- Learning Memory — Stores recent pullback examples separately for bullish and bearish trends so each market direction develops its own adaptive settings.
- Learning Progress — Gradually blends learned values with the starting settings until enough historical examples have been collected.
- Bounce Zone — An inner line positioned between price and the main trend line to highlight pullbacks that recover before a full trend reversal.
🟠 FEATURES
- Adaptive Trend Line — Automatically adjusts its trailing distance as market pullback behavior changes over time.
- Bounce Zone — Displays an inner reaction line together with optional bounce markers when price resumes the trend.
- Pullback Map — Visual histogram showing the distribution of historical pullback sizes for bullish and bearish trends alongside the currently learned pullback levels.
- Quick Read Dashboard — Displays the active trend, current pullback room and learning status in a compact table.
- Trend Signals — Marks confirmed trend reversals and provides alert conditions for trend changes and bounce reactions.
🟠 HOW TO USE
- Watch for a trend change marker to identify when the trailing trend direction has flipped.
- Use the Bounce Zone to monitor pullbacks that recover while the main trend remains intact.
- Check the Pullback Map to see how current pullbacks compare with recent market behavior. Aiding in stop loss placement.
- Monitor the Learning Status in the dashboard to know whether the adaptive model is still gathering examples or has fully transitioned to learned values.
- Adjust Pullback Coverage if you want the trend line to allow more or less historical pullback movement.
🟠 CONCLUSION
Self-Adaptive Trend Signals combines a SuperTrend with a continuously learned pullback model instead of relying on a fixed ATR multiplier. It adapts independently to bullish and bearish market conditions while providing trend signals, pullback visualization and learning feedback. This gives traders a trend line whose trailing distance reflects recent market behavior rather than remaining static.
Skrip open-source
Dengan semangat TradingView yang sesungguhnya, pembuat skrip ini telah menjadikannya sebagai sumber terbuka, sehingga para trader dapat meninjau dan memverifikasi fungsinya. Salut untuk penulisnya! Meskipun Anda dapat menggunakannya secara gratis, perlu diingat bahwa penerbitan ulang kode ini tunduk pada Tata Tertib kami.
🚨Get premium: algoalpha.io
🛜Get FREE signals: discord.gg/xCmqTVRexz
💡Tutorials: youtube.com/@AlgoAlpha
🛜Get FREE signals: discord.gg/xCmqTVRexz
💡Tutorials: youtube.com/@AlgoAlpha
Pernyataan Penyangkalan
Informasi dan publikasi ini tidak dimaksudkan, dan bukan merupakan, saran atau rekomendasi keuangan, investasi, trading, atau jenis lainnya yang diberikan atau didukung oleh TradingView. Baca selengkapnya di Ketentuan Penggunaan.
Skrip open-source
Dengan semangat TradingView yang sesungguhnya, pembuat skrip ini telah menjadikannya sebagai sumber terbuka, sehingga para trader dapat meninjau dan memverifikasi fungsinya. Salut untuk penulisnya! Meskipun Anda dapat menggunakannya secara gratis, perlu diingat bahwa penerbitan ulang kode ini tunduk pada Tata Tertib kami.
🚨Get premium: algoalpha.io
🛜Get FREE signals: discord.gg/xCmqTVRexz
💡Tutorials: youtube.com/@AlgoAlpha
🛜Get FREE signals: discord.gg/xCmqTVRexz
💡Tutorials: youtube.com/@AlgoAlpha
Pernyataan Penyangkalan
Informasi dan publikasi ini tidak dimaksudkan, dan bukan merupakan, saran atau rekomendasi keuangan, investasi, trading, atau jenis lainnya yang diberikan atau didukung oleh TradingView. Baca selengkapnya di Ketentuan Penggunaan.