Statistical Regime Router is a rules-based EURUSD H1 cBot built for traders who want a systematic approach to mean-reversion trading. The strategy uses statistical regime logic to decide when market conditions are suitable, then applies volatility, spread, daily risk, and trade-frequency controls before opening a position.

The current V1_1 setup focuses on the reversion branch. Entries are designed around stretched market conditions returning toward a more balanced price area, while execution is controlled with ATR-based stop sizing, fixed-lot or risk-percent position sizing, maximum spread filtering, maximum trades per day, and optional trading-window control.

Risk management is a key part of the system. The cBot includes stop loss, take profit, daily loss protection, Friday close protection, and step-trailing controls using trigger and backoff levels. These step-trailing settings allow users to test how profit protection changes the balance and equity curve on their own broker data.

In one historical EURUSD H1 backtest from 27/09/2024 to 07/08/2026, using a USD 5,000 starting balance and 1:200 leverage, the strategy produced a positive result over 286 trades with a profit factor above 3 and maximum equity drawdown below 8% in that test.

This cBot is best suited for traders who understand automated trading, backtesting, broker conditions, and risk adjustment. It may suit users with around USD 5,000 or equivalent starting balance, although smaller accounts should reduce volume and risk settings.

Important: this is not financial advice and past performance does not guarantee future results. Spread, commission, swaps, slippage, liquidity, leverage, account currency, broker data, and user settings can materially affect performance. Always test on demo before using live funds.

### Risk Disclaimer

Trading CFDs and automated strategies involves risk. Historical backtests do not guarantee future results. Broker conditions, spread, commission, swaps, leverage, liquidity, slippage, account currency, available history, and user settings can materially affect performance. Test on demo before using live funds.