FxMath Financial Solution
FxMath Elite Pro — GBPUSD H1 Optimised Preset: +12.31%, 90.2% Win Rate, Out-of-Sample Confirmed
The optimiser evaluated 2,904 configurations across 7,913 GBPUSD H1 bars and confirmed the winner on an untouched out-of-sample slice. The result: +12.31% net return, a 90.2% win rate, a 4.89 profit factor — and a maximum drawdown of just 2.51%.
377 trades · 90.2% win rate (340W / 37L) · +$1,231.20 (+12.31%) · Profit Factor 4.89 · Max Drawdown 2.51% · all 16 months positive · out-of-sample +4.17%
Headline Performance
Equity Curve
From a $10,000 starting deposit the account climbed steadily to $11,231.20. Buying and holding GBPUSD over the same window returned just +0.78% — the strategy does not depend on a sustained trend.
Walk-Forward Validation
In-sample metrics are an upper bound by construction. The honest number is the untouched out-of-sample slice — and it stayed profitable.
| Metric | In-sample | Out-of-sample | Note |
|---|---|---|---|
| Net profit | $807.55 | $416.50 | |
| Return % | 8.08% | 4.17% | OOS must stay positive |
| Max drawdown % | 2.51% | 2.34% | |
| Profit factor | 4.89 | 4.90 | |
| Trades | 249 | 124 | OOS 2026-02-27 to 2026-08-28 |
| Win rate | 90.4% | 90.3% | |
| Sharpe | 1.78 | 1.99 | |
| Exposure | 100% | 100% |
Monthly Consistency
Every one of the sixteen months was positive — best month +$135.10 (July 2025), weakest +$26.80 (May 2025).
| Month | P&L | Month | P&L |
|---|---|---|---|
| 2025-05 | +26.80 | 2026-01 | +27.80 |
| 2025-06 | +55.40 | 2026-02 | +134.50 |
| 2025-07 | +135.10 | 2026-03 | +109.20 |
| 2025-08 | +53.60 | 2026-04 | +54.70 |
| 2025-09 | +108.70 | 2026-05 | +81.40 |
| 2025-10 | +82.40 | 2026-06 | +54.70 |
| 2025-11 | +81.50 | 2026-07 | +108.30 |
| 2025-12 | +81.50 | 2026-08 | +35.60 |
Same Engine — Real Tuning
Out of the box the EA made $2.39 on 2 trades. With the optimised GBPUSD H1 preset it made $1,231.20 on 377 trades. The engine was always capable; the inputs were not calibrated for this symbol.
| Metric | EA Defaults | Optimised |
|---|---|---|
| Net profit | $2.39 | $1,231.20 |
| Return | 0.02% | 12.31% |
| Max drawdown | 0.02% | 2.51% |
| Profit factor | 1.04 | 4.89 |
| Trades | 2 | 377 |
| Win rate | 50.0% | 90.2% |
Shipped Settings — GBPUSD_H1.set
- Grid: no stop loss (0) · take profit 280 pips · grid distance 112 pips · max 8 levels · fixed 0.01 lots
- Labels: 30 pip stop / 75 pip target
- Forest: 20 trees · max depth 8 · min samples 10 · class weight 2 · trained on 2,000 bars, retrained every 48 bars
- Regime: adaptation ON · trend filter OFF
- Protection: enabled · 30% max drawdown · stop-on-protect · trend lot multiplier 0.2
Minimum Capital — $513.92
The binding constraint is the drawdown budget, not margin. One 0.01-lot position costs about $2.68 of margin; the peak stack of 0.24 lots needed $64.27. But margin is not released while a position is underwater, and the worst floating loss was $265.55 — so the true floor is $329.82. The $513.92 figure is 2.0 × the $256.96 worst backtest drawdown; that headroom is what makes the strategy survivable rather than merely funded.
How the Engine Works
- 4 Random Forests (80 trees) trained on 120 features directly inside MetaTrader 4 and 5
- Online retraining every N bars — the model is never stale
- Regime-aware adaptive grid — range, weak trend and strong trend modes
- 4-model consensus — Buy, Sell, Trend and Hedge must agree
- Bank-grade protection — drawdown halt, strong-trend auto-exit, stop-on-protect
- Zero dependencies — no DLLs, no Python, no external data; pure MQL
Pricing & Payment
Licenses are currently 50% off. Every plan runs on up to 3 accounts and ships both the compiled .ex5 (MT5) and .ex4 (MT4) files.
Get the optimised preset and the full report at elite.fxmath.com/reports/gbpusd-h1. Watch live results on the dashboard and get free realtime signals in the Telegram channel t.me/FxMathAI. Support: @FxMath.
Tags
FxMathElite ProGBPUSDForexOptimised PresetMetaTraderMT5MT4Machine LearningRandom ForestGrid TradingAlgorithmic Trading
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