{
  "id": 254,
  "rank": 847,
  "name": "AdaptiveQ Enhanced",
  "aka": [
    "AdaptiveQ Enhanced"
  ],
  "family": "I",
  "subtype": "I5",
  "one_liner": "Trading Expert Advisor based on deep reinforcement learning, game theory, and causal analysis.",
  "market_regime": "any",
  "timeframes": [
    "M15",
    "H1",
    "H4"
  ],
  "symbols": [
    "EURUSD",
    "USDJPY",
    "GBPUSD",
    "AUDUSD",
    "NZDUSD",
    "USDCAD",
    "EURJPY"
  ],
  "sessions": [
    "null"
  ],
  "indicators": [
    {
      "name": "EMA",
      "params": {
        "period": 200
      },
      "applied_to": "close"
    },
    {
      "name": "RSI",
      "params": {
        "period": 14
      },
      "applied_to": "close"
    },
    {
      "name": "Stochastic",
      "params": {
        "period": 14
      },
      "applied_to": "close"
    }
  ],
  "entry_long": [
    "null"
  ],
  "entry_short": [
    "null"
  ],
  "exit_rules": [
    "Close only profitable BUY positions"
  ],
  "filters": [
    "null"
  ],
  "stop_loss": "not specified",
  "take_profit": "2500 points",
  "position_size": "0.01 base volume, 50% add volume",
  "evidence_type": "source_code",
  "completeness": 50.0,
  "signal_warnings": null,
  "claim_warnings": null,
  "opacity_warnings": null,
  "build_warnings": null,
  "canonical": "https://prismaticalgos.com/compendium/algo/254-adaptiveq-enhanced",
  "snapshot": "2026-10-31 15:46 UTC",
  "source_url": "https://www.mql5.com/en/articles/17546",
  "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."
}