{
  "id": 11317,
  "rank": 282,
  "name": "Mean Reversion Trading Bot",
  "aka": [
    "Multi-Symbol (MT5)"
  ],
  "family": "B",
  "subtype": "B1",
  "one_liner": "Identifies overextended price movements and trades the return to the mean using Bollinger Bands, RSI, and ADX.",
  "market_regime": "ranging",
  "timeframes": [
    "M1"
  ],
  "symbols": [
    "EURUSDm",
    "GBPUSDm",
    "XAUUSDm"
  ],
  "sessions": [
    "GMT+7 13:00 – 17:00"
  ],
  "indicators": [
    {
      "name": "Bollinger Bands",
      "params": {
        "period": 10
      },
      "applied_to": "close"
    },
    {
      "name": "RSI",
      "params": {
        "period": 8
      },
      "applied_to": "close"
    },
    {
      "name": "ADX",
      "params": {
        "period": 14
      },
      "applied_to": "close"
    },
    {
      "name": "ATR",
      "params": {
        "period": 14
      },
      "applied_to": "close"
    }
  ],
  "entry_long": [
    "Price crosses above the Lower Bollinger Band AND RSI < 30 AND ADX < 18"
  ],
  "entry_short": [
    "Price crosses below the Upper Bollinger Band AND RSI > 70 AND ADX < 18"
  ],
  "exit_rules": [
    "..."
  ],
  "filters": [
    "volatility, momentum, and trend strength"
  ],
  "stop_loss": "1.5x ATR distance from entry",
  "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/11317-mean-reversion-trading-bot",
  "snapshot": "2026-10-31 15:46 UTC",
  "source_url": "https://github.com/ryantr-statinops/mean_reversion_analytics",
  "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."
}