Policy JSON Schema (DualEA)

Name: MQL5 Algo Forge
Brand: MQL5

This document defines the expected structure of policy.json consumed by both PaperEA_v2 and LiveEA.

Implementation Note: LiveEA has full per-slice policy parsing with scaling support. PaperEA_v2 has minimal policy parsing (checks min_confidence string presence only).

Location

MT5 Common Files: typically C:\Users\<you>\AppData\Roaming\MetaQuotes\Terminal\Common\Files\DualEA\policy.json
Reload signal: Common\Files\DualEA\policy.reload
- PaperEA_v2: Hot-reload supported via timer polling + optional HTTP
- LiveEA: Policy loaded on init only; restart required for updates

Top-level Fields

min_confidence (number): gating threshold; trades require p_win >= min_confidence unless a fallback path is taken.
- Note: Policy is considered "loaded" when there is at least one slice (slices.length > 0). min_confidence does not determine loaded state.
slices (array of objects): per-slice policy entries.

Slice Fields

Each slice object supports:

strategy (string): strategy identifier matching EA strategies.
symbol (string): normalized symbol, e.g. "EURUSD". Special case: "*" to indicate strategy-only aggregate.
timeframe (integer): MT5 timeframe constant number; -1 indicates aggregate across timeframes for a symbol.
p_win (number): probability/confidence used by gating.
sl_scale (number): stop-loss scale multiplier.
tp_scale (number): take-profit scale multiplier.
trail_atr_mult (number): trailing policy multiplier (ATR-based or treated as generic trailing scale by the EA).

Aggregation & Lookup

PaperEA uses the following lookup order (see GetPolicyProb()):

Exact match: (strategy, symbol, timeframe)
Strategy + symbol aggregate: (strategy, symbol, timeframe=-1)
Strategy-only aggregate: (strategy, symbol="*", timeframe=-1)

If no slice is found, GetPolicyProb() returns -1.0 and the EA may use the default policy fallback path if enabled.

Example

{
  "min_confidence": 0.45,
  "slices": [
    { "strategy": "BollAverages", "symbol": "EURUSD", "timeframe": 60,  "p_win": 0.52, "sl_scale": 1.0, "tp_scale": 1.2, "trail_atr_mult": 1.0 },
    { "strategy": "BollAverages", "symbol": "EURUSD", "timeframe": -1, "p_win": 0.50, "sl_scale": 1.0, "tp_scale": 1.0, "trail_atr_mult": 1.0 },
    { "strategy": "BollAverages", "symbol": "*",       "timeframe": -1, "p_win": 0.48, "sl_scale": 1.0, "tp_scale": 1.0, "trail_atr_mult": 1.0 }
  ]
}

Notes

Scaling is applied only when a valid slice is found and policy gating is active. Fallback trades (no policy or slice miss) use neutral scaling.
Trainer/export scripts should ensure symbols/timeframes align with EA normalization and MT5 constants.

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