{
  "id": 11027,
  "rank": 273,
  "name": "MR CUAN GOLD",
  "aka": [
    "XAUUSD-Auto-Trader-MQL5"
  ],
  "family": "C",
  "subtype": "C2",
  "one_liner": "Trend-following strategy using Triple EMA and ADX with smart Martingale recovery.",
  "market_regime": "trending",
  "timeframes": [
    "null"
  ],
  "symbols": [
    "XAUUSD"
  ],
  "sessions": [
    "null"
  ],
  "indicators": [
    {
      "name": "EMA",
      "params": {
        "period": 6
      },
      "applied_to": "close"
    },
    {
      "name": "EMA",
      "params": {
        "period": 16
      },
      "applied_to": "close"
    },
    {
      "name": "EMA",
      "params": {
        "period": 200
      },
      "applied_to": "close"
    },
    {
      "name": "ADX",
      "params": {
        "period": 14
      },
      "applied_to": "high-low"
    }
  ],
  "entry_long": [
    "Bid > EMA 200",
    "EMA 6 crosses above EMA 16",
    "ADX >= 25.0",
    "+DI > -DI"
  ],
  "entry_short": [
    "Bid < EMA 200",
    "EMA 6 crosses below EMA 16",
    "ADX >= 25.0",
    "+DI < -DI"
  ],
  "exit_rules": [
    "null"
  ],
  "filters": [
    "null"
  ],
  "stop_loss": "null",
  "take_profit": "null",
  "position_size": "null",
  "evidence_type": "source_code",
  "completeness": 50.0,
  "signal_warnings": null,
  "claim_warnings": [
    "UNBOUNDED LOSS RISK: position sizing recovers losses by adding or multiplying size, and no stop loss is specified. The losing tail of such a system is limited only by account equity."
  ],
  "opacity_warnings": null,
  "build_warnings": null,
  "canonical": "https://prismaticalgos.com/compendium/algo/11027-mr-cuan-gold",
  "snapshot": "2026-10-31 15:46 UTC",
  "source_url": "https://github.com/ibadnarpatih-create/XAUUSD-Auto-Trader-MQL5",
  "limitations": "These are machine-extracted research records, not verified trading systems. Catalog rank measures specification detail and claimed evidence, not profitability. The catalog extraction pipeline did not independently backtest these records. Its separate selected testing ledger does not validate the wider corpus. Rules, labels and parameters can be incomplete or wrong; consult the original source and its reuse terms."
}