AIBTC Automated Trading Strategy

27 paź

🧠 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.

29 paź

Informacje o Wersji

🧠 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.

2025/10/29 Update Log:
Adjusted the position opening amount to 100% of equity; added volatility filtering to improve win rate.

30 paź

Informacje o Wersji

Updated alert() alert settings on Oct 30, 2025.

5 lis

Informacje o Wersji

2025/11/5 Update: Reverse Entry Strategy – Added Exit Mechanism

7 dni temu

Informacje o Wersji

Parameter optimization