{
  "id": 11242,
  "rank": 661,
  "name": "High Break Trading EA",
  "aka": [
    "High Break EA",
    "lordgaruda/MQ-Autonomus"
  ],
  "family": "A",
  "subtype": "A4",
  "one_liner": "Trades on significant daily price moves, entering when price breaks recent highs/lows with volume confirmation.",
  "market_regime": "trending|ranging|volatile",
  "timeframes": [
    "M1"
  ],
  "symbols": [
    "XAUUSD",
    "EURUSD",
    "GBPUSD",
    "USDJPY",
    "USDCHF",
    "AUDUSD",
    "USDCAD",
    "NZDUSD",
    "SPY",
    "QQQ",
    "AAPL",
    "MSFT"
  ],
  "sessions": [
    "9 AM - 4 PM GMT",
    "Optional Friday trading restriction"
  ],
  "indicators": [
    {
      "name": "Daily Move",
      "params": {
        "period": 240
      },
      "applied_to": "close"
    },
    {
      "name": "Volume",
      "params": {
        "period": 14
      },
      "applied_to": "volume"
    }
  ],
  "entry_long": [
    "Daily move >= 3%",
    "Price breaks recent high with volume above average",
    "Price breaks recent low with volume above average"
  ],
  "entry_short": [
    "Daily move <= -3%",
    "Price breaks recent low with volume above average",
    "Price breaks recent high with volume above average"
  ],
  "exit_rules": [
    "Stop loss at 10% from entry price",
    "Take profit between 30-50% from entry price"
  ],
  "filters": [
    "Volume above average threshold",
    "One trade per symbol per day",
    "Daily reset of trade flags"
  ],
  "stop_loss": "10% from entry price",
  "take_profit": "Random between 30-50% from entry price",
  "position_size": "Fixed lot size per trade",
  "evidence_type": "source_code",
  "completeness": 80.0,
  "signal_warnings": null,
  "claim_warnings": null,
  "opacity_warnings": null,
  "build_warnings": null,
  "canonical": "https://prismaticalgos.com/compendium/algo/11242-high-break-trading-ea",
  "snapshot": "2026-10-31 15:46 UTC",
  "source_url": "https://github.com/lordgaruda/MQ-Autonomus",
  "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."
}