{
  "id": 397,
  "rank": 945,
  "name": "AI PropRunner Gold",
  "aka": [
    "AI PropRunner"
  ],
  "family": "J",
  "subtype": "J5",
  "one_liner": "Trend-following system with AI filter and dynamic risk management for XAUUSD on M1 timeframe",
  "market_regime": "trending|volatile",
  "timeframes": [
    "M1"
  ],
  "symbols": [
    "XAUUSD"
  ],
  "sessions": [
    "24/7"
  ],
  "indicators": [],
  "entry_long": [
    "AI confidence threshold for Pullback mode",
    "AI confidence threshold for Breakout mode"
  ],
  "entry_short": [
    "AI confidence threshold for Pullback mode",
    "AI confidence threshold for Breakout mode"
  ],
  "exit_rules": [
    "Risk/Reward ratio for Pullback trades",
    "Risk/Reward ratio for Breakout trades",
    "Daily loss limit",
    "Hard news filter"
  ],
  "filters": [
    "AI filter analyzing 43+ market features",
    "Hard news filter"
  ],
  "stop_loss": "Real server-side stop-loss placed on broker's server",
  "take_profit": "Take profit set at Risk/Reward ratio * stop-loss",
  "position_size": "Risk per trade as % of balance or fixed risk per trade",
  "evidence_type": "backtest_shown",
  "completeness": 50.0,
  "signal_warnings": null,
  "claim_warnings": null,
  "opacity_warnings": [
    "OPAQUE ENTRY: every entry condition reads a value out of something the source never defined -- a custom-indicator buffer, an iCustom() call, or an author-named score. The rule names the signal without specifying it, so it cannot be reproduced bar-for-bar from this record."
  ],
  "build_warnings": null,
  "canonical": "https://prismaticalgos.com/compendium/algo/397-ai-proprunner-gold",
  "snapshot": "2026-10-31 15:46 UTC",
  "source_url": "https://www.mql5.com/en/market/product/152119",
  "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."
}