{
  "id": 11674,
  "rank": 751,
  "name": "NY-Tokyo Range Mean Reversion Trader",
  "aka": [
    "NY-Tokyo Range Mean Reversion Trader EA",
    "NY-Tokyo Range Mean Reversion Trader"
  ],
  "family": "A",
  "subtype": "A3",
  "one_liner": "Automated EA for MetaTrader 5 that exploits mean reversion between New York and Tokyo sessions.",
  "market_regime": "ranging",
  "timeframes": [
    "M5"
  ],
  "symbols": [
    "GBP/JPY",
    "NAS100"
  ],
  "sessions": [
    "New York session close 23:55 broker time",
    "Tokyo session 02:00-08:00 broker time"
  ],
  "indicators": [],
  "entry_long": [
    "Price touches or penetrates the Entry Zone (Low_{NY} - (High_{NY} - Low_{NY}))",
    "Bullish Engulfing Candle on M5 timeframe"
  ],
  "entry_short": [
    "Not specified in the source"
  ],
  "exit_rules": [
    "Not specified in the source"
  ],
  "filters": [
    "Max SL Protection with a safety cap of 3000 points"
  ],
  "stop_loss": "Placed safely below the double-range level: Low_{NY} - (2 * (High_{NY} - Low_{NY}))",
  "take_profit": "Mathematically calculated as a direct multiple of the SL based on the Risk-to-Reward Ratio (R:R)",
  "position_size": "Automatically calculated based on a fixed risk percentage (default: 1%) of the total account balance relative to the dynamic SL distance",
  "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/11674-ny-tokyo-range-mean-reversion-trader",
  "snapshot": "2026-10-31 15:46 UTC",
  "source_url": "https://github.com/irana2514Rooz/NY-Tokyo-Range-Mean-Reversion-Trader-EA-MQL5-",
  "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."
}