Bollinger, RSI, Supertrend, and ATR Risk Rules in a Crypto Strategy

Summary

The document presents a crypto trading system combining Bollinger Bands, RSI, Supertrend, and ATR-based stop and target levels. Its stated entry logic looks for price outside a Bollinger Band with RSI at an extreme, then uses Supertrend as a directional filter. It also describes AI-assisted parameter adjustment and volatility-based risk settings. Published parameters include a 14-period ATR, a 2× ATR stop multiplier, and a 2× ATR take-profit multiplier.

The document supplies a one-hour BTC/USDT futures backtest configuration, but reports no performance results. Its source code does not fully match the written rules: enabling the AI option makes Supertrend conditions independently sufficient for signals, and the entry orders use stop and limit arguments rather than clearly implementing the described separate protective stop and profit target. The text itself flags overfitting, conflicting signals in volatile markets, training-data needs, trading costs, and slippage. The supplied configuration alone therefore does not establish profitability or validate the claimed AI optimization.

Key ideas

• The stated long setup combines a close below the lower Bollinger Band with oversold RSI, while the short setup uses the upper band and overbought RSI.
• Supertrend is presented as a directional confirmation filter, although the source code can trigger signals from it independently when AI optimization is enabled.
• The strategy describes ATR-scaled stop-loss and take-profit levels to adapt risk distances to volatility.
• The document warns that parameter overfitting, conflicting signals, trading costs, and stop slippage can weaken results.
• A BTC/USDT futures backtest configuration is provided without performance statistics.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.