{
  "id": 1180,
  "rank": 389,
  "name": "Probabilistic ICT Order Blocks [3D]",
  "aka": [
    "Probabilistic ICT Order Blocks [3D] by GainzAlgo"
  ],
  "family": "E",
  "subtype": "E1",
  "one_liner": "Detects order blocks using a supervised classifier trained on recent price action and tracks their win/loss outcomes.",
  "market_regime": "any",
  "timeframes": [
    "any"
  ],
  "symbols": [
    "any"
  ],
  "sessions": [
    "any"
  ],
  "indicators": [
    {
      "name": "RSI",
      "params": {
        "period": 14
      },
      "applied_to": "close"
    },
    {
      "name": "MFI",
      "params": {
        "period": 14
      },
      "applied_to": "typical price"
    },
    {
      "name": "ATR",
      "params": {
        "period": 14
      },
      "applied_to": "close"
    },
    {
      "name": "Volume z-score",
      "params": {
        "period": 20
      },
      "applied_to": "volume"
    }
  ],
  "entry_long": [
    "close crosses above the highest high of the last swingLen bars"
  ],
  "entry_short": [
    "close crosses below the lowest low of the last swingLen bars"
  ],
  "exit_rules": [
    "tested block resolves as a win when a bar closes above its ceiling",
    "tested block resolves as a loss when a bar closes below its floor"
  ],
  "filters": [
    "news filter",
    "max spread 2.0 pips"
  ],
  "stop_loss": "not specified",
  "take_profit": "not specified",
  "position_size": "not specified",
  "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/1180-probabilistic-ict-order-blocks-3d",
  "snapshot": "2026-10-31 15:46 UTC",
  "source_url": "https://www.prorealcode.com/prorealtime-indicators/probabilistic-ict-order-blocks-3d/",
  "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."
}