{
  "id": 8973,
  "rank": 2285,
  "name": "XAUUSD Amnesia Protocol AI",
  "aka": [
    "XAU Amnesia Protocol",
    "Amnesia Protocol"
  ],
  "family": "C",
  "subtype": "C1",
  "one_liner": "Exploits market amnesia during high-impact news events using a dynamic grid and ATR-based take profit.",
  "market_regime": "volatile",
  "timeframes": [
    "H1"
  ],
  "symbols": [
    "XAUUSD",
    "XAUUSD.m",
    "GOLD"
  ],
  "sessions": [
    "any"
  ],
  "indicators": [
    {
      "name": "ADX",
      "params": {
        "period": 14
      },
      "applied_to": "close"
    }
  ],
  "entry_long": [
    "when ADX > 25",
    "when ADX > 30",
    "when ADX > 35",
    "when ADX > 28"
  ],
  "entry_short": [
    "not specified"
  ],
  "exit_rules": [
    "when ATR-based TP is hit"
  ],
  "filters": [
    "Aegis Shield Max Daily DD"
  ],
  "stop_loss": "not specified",
  "take_profit": "1.5x ATR",
  "position_size": "Base Lot Size",
  "evidence_type": "backtest_shown",
  "completeness": 50.0,
  "signal_warnings": null,
  "claim_warnings": [
    "UNSIZED CLAIM: performance figures are published with no trade count, so the sample behind them cannot be judged.",
    "UNDATED CLAIM: performance figures are published with no test period, so they cannot be checked or reproduced.",
    "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/8973-xauusd-amnesia-protocol-ai",
  "snapshot": "2026-10-31 15:46 UTC",
  "source_url": "https://www.mql5.com/en/market/product/186734",
  "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."
}
