BollingerRSI Strategy MT4 (MT4) — review, price and free alternatives

The strategy pairs a fast RSI 6 momentum filter, which considers a crossover at the 50 level as a directional cue, with a Bollinger Band breakout that confirms volatility driven moves on the same candle.

What makes BollingerRSI Strategy MT4 unique is its strict dual confirmation and an emphasis on momentum direction rather than traditional overbought or oversold readings. The algorithm waits for the RSI to indicate direction, then captures breakouts validated by Bollinger Bands, so trades are typically entered early in trending moves. It handles trending and transition phases well but is less active in choppy ranges. Risk is managed through configurable stop levels and position sizing recommendations in the MT4 inputs.

The strategy is distributed by Ulises Calderon Bautista and is intended for traders who can run MT4 and monitor live performance metrics.

The risk profile of BollingerRSI Strategy MT4 is moderate when used with the recommended stops and position sizing. It is not an ultra conservative system but trades conservatively relative to aggressive breakout systems because entries require two confirmations. Stop loss strategy should use the strategy's suggested volatility based stops, or a multiple of ATR, and be paired with a fixed percentage risk per trade no greater than 1 to 2 percent of account equity. Position sizing guidance included in the inputs supports disciplined scaling and risk control. Vulnerabilities include extended chop where Bollinger breakouts are false and sudden macro events that invalidate momentum filters.

Install the BollingerRSI Strategy MT4 expert files into the MT4 Experts and Indicators folders, then restart MT4 and attach the indicator or EA to your chart. Configure key parameters such as RSI period set to 6, RSI crossover level to 50, Bollinger Bands period and deviation, and risk per trade percentage. Use brokers with tight spreads and STP or ECN pricing for better breakout execution. Recommended chart timeframes are one hour and four hour for best balance of signal frequency and noise reduction. Begin with historical backtests then run a forward demo for at least 30 to 90 days before deploying on a funded account.