Range Brain Ai
- Эксперты
- Версия: 5.0
- Обновлено: 5 июля 2026
- Активации: 10
New and Improved - Range Brain AI V5
Range Brain AI V5 now fades failed breakouts of a session range. It waits for price to break out of a user input range, then trades the reversion back into the range once a CCI trigger and an onboard neural network confirm the move has turned.
Strategy
The EA builds a consolidation range during a session window you choose. When price breaks out of that range, it treats the break as suspect and prepares to trade the snap-back rather than the breakout: a break above the range arms a short, a break below the range arms a long.
The entry does not fire on the break alone. It waits for the CCI indicator to reach an extreme in the direction of the break and turn back, and for the onboard perceptron to confirm that momentum has reversed. Only then does the EA enter at market with a defined stop and target. This double confirmation is designed to filter out the breaks that keep running instead of failing.
A deterministic neural network
The neural network uses no random numbers. The same price data and the same settings produce the same result every time. That means your Strategy Tester backtest reproduces the live decision logic exactly, with no hidden randomness between runs. There is no manual training step to run and no model file to manage. The perceptron adjusts as it processes price, deterministically.
Where it fits
This is a mean-reversion tool. It is built for instruments and sessions that range and revert, and it performs best in quieter session windows where breakouts tend to fail. It is not a trend-following or breakout-chasing system. Choose ranging instruments and session windows accordingly, and re-optimize per symbol.
Key features
- CCI-triggered fade with neural-network confirmation
- Fully deterministic engine for reproducible backtests
- Session range builder with broker-time control and an optional daily trade cap
- Visual dashboard showing the range, the current state, and the live signal
- Range lines, range rectangle, optional pulse animation, and entry arrows
- Four money-management modes: fixed lot, fixed margin, percent risk, and size-optimized, with optional lot reduction after losses
- Exit toolkit: fixed stop and target, optional volatility-based dynamic stop, breakeven, partial close, time-based close, and an optional CCI mean-reversion exit
- Built-in CSV logger that records full trade data for your own Monte Carlo or statistical validation in Python, R, or Excel - (Advanced users reach out to me and I will send you the python script and notes)
Requirements and notes
- Works on any account type, hedging or netting
- No martingale, no grid, no averaging. Risk per trade is fixed by your money-management and stop settings
- Fully configurable for any symbol and timeframe. Re-optimize the session window and risk settings per instrument
- Tested on real tick data using Quant Data Manager with real spreads
- Past performance does not guarantee future results
Support
Support is provided through the product comments section and the MQL5 messaging system. Optimization guide to be released soon.
