{
  "id": 3749,
  "rank": 743,
  "name": "ML RSI",
  "aka": [
    "Machine Learning RSI",
    "Zeiierman's ML RSI"
  ],
  "family": "B",
  "subtype": "B7",
  "one_liner": "Uses machine learning to predict price direction based on RSI and other indicators.",
  "market_regime": "any",
  "timeframes": [
    "any"
  ],
  "symbols": [
    "any"
  ],
  "sessions": [
    "any"
  ],
  "indicators": [
    {
      "name": "RSI",
      "params": {
        "period": 14
      },
      "applied_to": "close"
    },
    {
      "name": "Average True Range",
      "params": {
        "period": 14
      },
      "applied_to": "close"
    },
    {
      "name": "SMA",
      "params": {
        "period": 5
      },
      "applied_to": "close"
    },
    {
      "name": "SMA",
      "params": {
        "period": 20
      },
      "applied_to": "RSI(14) values"
    }
  ],
  "entry_long": [
    "biasDir = 1 and gatesPass and stanceState = 1"
  ],
  "entry_short": [
    "biasDir = -1 and gatesPass and stanceState = -1"
  ],
  "exit_rules": [
    "stanceState changed and stanceAge >= 5"
  ],
  "filters": [
    "volatility filter",
    "trend filter",
    "chop filter"
  ],
  "stop_loss": "not explicitly defined",
  "take_profit": "not explicitly defined",
  "position_size": "not explicitly defined",
  "evidence_type": "source_code",
  "completeness": 50.0,
  "signal_warnings": null,
  "claim_warnings": null,
  "opacity_warnings": [
    "UNDEFINED ENTRY TERM: the entry conditions are prose naming a concept with no numeric definition, so two readers would implement them differently. Advisory only -- this does not affect the score."
  ],
  "build_warnings": null,
  "canonical": "https://prismaticalgos.com/compendium/algo/3749-ml-rsi",
  "snapshot": "2026-10-31 15:46 UTC",
  "source_url": "https://www.prorealcode.com/topic/machine-learning-rsi/",
  "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."
}