{
  "id": 11126,
  "rank": 1866,
  "name": "XAUUSD Dual Basket DCA EA",
  "aka": [
    "Scalping X (FarhanFX)"
  ],
  "family": "C",
  "subtype": "C5",
  "one_liner": "A dual-basket DCA strategy with adaptive ATR distance and carryover cycle, verified on XAUUSD.",
  "market_regime": "volatile",
  "timeframes": [
    "M1"
  ],
  "symbols": [
    "XAUUSD"
  ],
  "sessions": [
    "any"
  ],
  "indicators": [
    {
      "name": "ATR",
      "params": {
        "period": 14
      },
      "applied_to": "close"
    }
  ],
  "entry_long": [
    "InpUseCarryoverCycle=true and InpUseAdaptiveDcaDistance=true with InpAdaptiveDcaAtrMult=1.5"
  ],
  "entry_short": [
    "same as entry_long"
  ],
  "exit_rules": [
    "InpTargetPercentOfFloatingLoss=0"
  ],
  "filters": [
    "InpUseTrendFilter=false",
    "InpUseMultiTFTrend=false",
    "InpOnlyTradeWithTrend=false",
    "InpUseCarryoverCycle=true",
    "InpMinMarginLevelPercent=200",
    "InpStopOutCooldownHours=24"
  ],
  "stop_loss": "not explicitly stated",
  "take_profit": "not explicitly stated",
  "position_size": "InpInitialLot, InpMaxSingleLegLot, InpMaxTotalBasketVolume",
  "evidence_type": "backtest_shown",
  "completeness": 50.0,
  "signal_warnings": null,
  "claim_warnings": [
    "RECOVERY SIZING: position size increases after losses (martingale/grid/averaging). Equity curves look smooth until the run that does not recover - judge it on worst-case exposure, not win rate."
  ],
  "opacity_warnings": null,
  "build_warnings": null,
  "canonical": "https://prismaticalgos.com/compendium/algo/11126-xauusd-dual-basket-dca-ea",
  "snapshot": "2026-10-31 15:46 UTC",
  "source_url": "https://github.com/minhajul61/Scalping-AI-Pro-By-Farhan-Fx",
  "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."
}
