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AIBTC Automated Trading Strategy
🧠 AIBTC Automated Trading Strategy
Overview:
The AIBTC Automated Trading Strategy is a fully autonomous system designed for 4-hour timeframes (4H). It dynamically identifies support and resistance levels based on price action, and automatically executes trades when valid breakouts occur above resistance or below support. The system adapts in real time to changing market volatility, ensuring stable performance across different market conditions.
⚙️ Strategy Logic
Dynamic Support & Resistance Detection
The strategy uses an adaptive Pivot Point algorithm that adjusts parameters according to market volatility (ATR) and price deviation (Standard Deviation).
When volatility increases, the algorithm automatically widens its detection range and recalibrates channel width for better accuracy.
All support and resistance levels are detected dynamically — no manual configuration is required.
Trend & Volatility Filtering
The system applies ADX (Average Directional Index) to measure trend strength.
When ADX > 25, only strong levels are considered valid to avoid noise during weak trends.
ATR-based volatility adjustments automatically optimize lookback periods and detection sensitivity.
Breakout Signal Detection
A long position is triggered when price breaks above resistance with a valid breakout margin (default filter: 0.1%).
A short position is triggered when price breaks below support with the same breakout filter applied.
This breakout filter effectively minimizes false breakouts and improves signal quality.
Fully Automated Execution
The system is designed for both backtesting and live simulation.
All buy/sell entries are executed automatically without manual input once conditions are met.
🕒 Recommended Timeframe
4-hour (4H) candles
Suitable for short-to-medium term swing trading, balancing signal precision and trade frequency.
📊 Key Features
✅ Fully Automated — Executes long/short positions on valid breakouts
✅ Adaptive Parameters — Automatically adjusts to changing volatility
✅ Trend-Aware Filtering — Uses ADX to avoid false signals in ranging markets
✅ Multi-Asset Compatibility — Works on BTC, ETH, or any high-liquidity instrument
⚠️ Disclaimer
This strategy is a technical and algorithmic tool, not financial advice.
Always backtest and simulate before using it on live markets.
During periods of extreme volatility, signals may delay or show false breakouts — consider using stop-loss mechanisms accordingly.
Overview:
The AIBTC Automated Trading Strategy is a fully autonomous system designed for 4-hour timeframes (4H). It dynamically identifies support and resistance levels based on price action, and automatically executes trades when valid breakouts occur above resistance or below support. The system adapts in real time to changing market volatility, ensuring stable performance across different market conditions.
⚙️ Strategy Logic
Dynamic Support & Resistance Detection
The strategy uses an adaptive Pivot Point algorithm that adjusts parameters according to market volatility (ATR) and price deviation (Standard Deviation).
When volatility increases, the algorithm automatically widens its detection range and recalibrates channel width for better accuracy.
All support and resistance levels are detected dynamically — no manual configuration is required.
Trend & Volatility Filtering
The system applies ADX (Average Directional Index) to measure trend strength.
When ADX > 25, only strong levels are considered valid to avoid noise during weak trends.
ATR-based volatility adjustments automatically optimize lookback periods and detection sensitivity.
Breakout Signal Detection
A long position is triggered when price breaks above resistance with a valid breakout margin (default filter: 0.1%).
A short position is triggered when price breaks below support with the same breakout filter applied.
This breakout filter effectively minimizes false breakouts and improves signal quality.
Fully Automated Execution
The system is designed for both backtesting and live simulation.
All buy/sell entries are executed automatically without manual input once conditions are met.
🕒 Recommended Timeframe
4-hour (4H) candles
Suitable for short-to-medium term swing trading, balancing signal precision and trade frequency.
📊 Key Features
✅ Fully Automated — Executes long/short positions on valid breakouts
✅ Adaptive Parameters — Automatically adjusts to changing volatility
✅ Trend-Aware Filtering — Uses ADX to avoid false signals in ranging markets
✅ Multi-Asset Compatibility — Works on BTC, ETH, or any high-liquidity instrument
⚠️ Disclaimer
This strategy is a technical and algorithmic tool, not financial advice.
Always backtest and simulate before using it on live markets.
During periods of extreme volatility, signals may delay or show false breakouts — consider using stop-loss mechanisms accordingly.
仅限邀请脚本
只有经作者批准的用户才能访问此脚本。您需要申请并获得使用权限。该权限通常在付款后授予。如需了解更多详情，请按照以下作者的说明操作，或直接联系czkingnft12。
除非您完全信任其作者并了解脚本的工作原理，否則TradingView不建议您付费或使用脚本。您还可以在我们的社区脚本中找到免费的开源替代方案。
作者的说明
To request access to this script, please contact the author via TradingView private message or leave a comment requesting access.
Before using, ensure you fully understand the strategy logic and test it thoroughly in backtesting or paper trading.
免责声明
这些信息和出版物并不意味着也不构成TradingView提供或认可的金融、投资、交易或其它类型的建议或背书。请在使用条款阅读更多信息。
仅限邀请脚本
只有经作者批准的用户才能访问此脚本。您需要申请并获得使用权限。该权限通常在付款后授予。如需了解更多详情，请按照以下作者的说明操作，或直接联系czkingnft12。
除非您完全信任其作者并了解脚本的工作原理，否則TradingView不建议您付费或使用脚本。您还可以在我们的社区脚本中找到免费的开源替代方案。
作者的说明
To request access to this script, please contact the author via TradingView private message or leave a comment requesting access.
Before using, ensure you fully understand the strategy logic and test it thoroughly in backtesting or paper trading.
免责声明
这些信息和出版物并不意味着也不构成TradingView提供或认可的金融、投资、交易或其它类型的建议或背书。请在使用条款阅读更多信息。