Bitcoin Regime H1 Pro
- Experts
- Version: 2.0
- Activations: 5
Bitcoin Regime H1 Pro 2.00 — volatility-aware Bitcoin trend trading
Follow long and short Bitcoin regimes from one H1 chart. The EA uses confirmed signals and adjusts target exposure to measured volatility and account equity, then rebalances the difference between the existing and required position.
For traders who want a systematic Bitcoin trend strategy and understand the risks of exposure rebalancing and the optional adverse-move add. USD 299 for unlimited use. Examine the free Market demo in the MT5 Strategy Tester before buying.
Free setup resources: Download the matching SET · Download MT5 reports and instructions · Setup guide and comparison of the four strategies.
One-month rental: USD 79. After purchase or rental, evaluate on a demo account with the version-specific SET.
How the strategy works
- Confirmed direction: closed H1 bars, EMA 912, slope lookback 72, six-bar confirmation, a 1.00% entry band and 0.25% exit hysteresis.
- Adaptive sizing: a 480-hour realized-volatility estimate and a 20% annualized volatility target determine exposure with account equity.
- Long and short positioning: long scale 1.00, short scale 0.50 and delta rebalancing.
- Bounded add: the reference profile enables one adverse-move add while the regime remains valid. Base exposure is capped at 1.25x; exposure including the add is capped at 2.00x.
- Operational controls: spread filtering, broker-volume normalization, a 6% daily-loss guard and 35% peak-equity guard. No DLL or WebRequest required.
Native MT5 reference backtest
BTCUSD H1, 1 January 2020–13 July 2026, IC Markets (EU), USD 994 initial deposit, OHLC M1 model, 93% history quality. This is not a full-period real-tick test.
| Metric | Historical simulation |
|---|---|
| Net profit / final balance | USD 17,657.33 / USD 18,651.33 |
| Net return | +1,776.39% |
| Maximum relative equity drawdown | 26.03% |
| Profit factor / Sharpe ratio | 2.50 / 1.41 |
| Trades | 909 |
The profile was selected using historical results; this is not independent forward validation. The outcome is sensitive to the adverse-move add and favorable market periods. In a matched test with the add disabled, net profit was USD 3,446.07 and equity drawdown 15.43%, versus USD 17,657.33 and 26.03% with it enabled. Changing this setting materially changes the strategy’s return and risk.
Separate yearly tests, each reset to USD 994, include a losing 2022 (−11.86%) and a nearly flat 2025 (+0.23%). These are separate runs, not annual returns from the compounded full-period account. The gallery focuses on the reference period above; older extended-history diagnostics are not used as proof of reliable performance before 2020.
Test and install
- Use the free Market demo in the MT5 Strategy Tester with your broker’s exact Bitcoin symbol on H1. The EA trades the chart symbol, including broker suffixes.
- Inspect contract size, minimum lot, margin, spread, commission, swaps and historical data. Record the inputs, particularly whether the adverse-move add is enabled.
- Compare several starting dates, losing periods and equity drawdown. Use reliable real-tick data where available.
- After purchase, validate on a demo account, use one intended BTCUSD H1 instance and keep Algo Trading and MT5 or a VPS active.
Before you buy
Can the free demo trade on a chart? No. The Market demo is for the Strategy Tester only.
Is USD 994 enough? It is the test deposit, not a guaranteed safe balance; broker contract and minimum-lot constraints matter.
Why no entry? The signal requires confirmation. Check symbol history, market hours, spread, Algo Trading and Experts/Journal messages.
Setup assistance? Use MQL5 Comments or private messages with the version, symbol, account mode, inputs and relevant journal lines, removing account identifiers.
These are simulations, not live account results. Leveraged crypto CFDs can cause substantial losses. Rebalancing and the adverse-move add increase exposure; guards are not guaranteed maximum losses and may be exceeded by gaps, slippage or execution failures. Past performance does not guarantee future results.
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