{
  "id": 139,
  "rank": 665,
  "name": "Meta-labeled RSI",
  "aka": [
    "Meta-labeled RSI strategy",
    "RSI with meta-classification and bet sizing"
  ],
  "family": "B",
  "subtype": "B7",
  "one_liner": "RSI trades filtered and sized by a secondary classifier based on 27 contextual features",
  "market_regime": "trending|ranging",
  "timeframes": [
    "H1"
  ],
  "symbols": [
    "EURUSD"
  ],
  "sessions": [
    "Sydney session 21:00-06:00 GMT",
    "Tokyo session 00:00-09:00 GMT",
    "London session 07:00-16:00 GMT",
    "NY session 13:00-22:00 GMT",
    "Session overlap"
  ],
  "indicators": [
    {
      "name": "RSI",
      "params": {
        "period": 14
      },
      "applied_to": "close"
    },
    {
      "name": "ADX",
      "params": {
        "period": 14
      },
      "applied_to": "close"
    },
    {
      "name": "ATR",
      "params": {
        "period": 14
      },
      "applied_to": "high, low, close"
    }
  ],
  "entry_long": [
    "RSI crosses oversold threshold"
  ],
  "entry_short": [
    "RSI crosses overbought threshold"
  ],
  "exit_rules": [
    "Triple-barrier labeling with profit-take and stop-loss multiples of 1.5 * ATR(14)"
  ],
  "filters": [
    "Random Forest classifier with 27 contextual features, confidence threshold of 0.55"
  ],
  "stop_loss": "1.5 * ATR(14) from entry",
  "take_profit": "1.5 * ATR(14) from entry",
  "position_size": "Scaled linearly from 0 at 0.5 to 1.0 at 1.0, with outputs clustering between 0.55 and 0.70",
  "evidence_type": "forward_results",
  "completeness": 50.0,
  "signal_warnings": null,
  "claim_warnings": null,
  "opacity_warnings": null,
  "build_warnings": null,
  "canonical": "https://prismaticalgos.com/compendium/algo/139-meta-labeled-rsi",
  "snapshot": "2026-10-31 15:46 UTC",
  "source_url": "https://www.mql5.com/en/articles/22274",
  "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."
}