{
  "id": 11087,
  "rank": 660,
  "name": "BossFx SMA Pro Trend EA",
  "aka": [
    "BossFx SMA Pro Trend Expert Advisor"
  ],
  "family": "F",
  "subtype": "F1",
  "one_liner": "Automated trading system using SMA crossovers with layered risk controls.",
  "market_regime": "any",
  "timeframes": [
    "H1",
    "M30",
    "D1",
    "M1"
  ],
  "symbols": [
    "EURUSD",
    "GBPUSD",
    "XAUUSD"
  ],
  "sessions": [
    "07:00–20:00"
  ],
  "indicators": [
    {
      "name": "SMA",
      "params": {
        "period": 10
      },
      "applied_to": "close"
    },
    {
      "name": "SMA",
      "params": {
        "period": 30
      },
      "applied_to": "close"
    }
  ],
  "entry_long": [
    "fast SMA crosses above slow SMA"
  ],
  "entry_short": [
    "fast SMA crosses below slow SMA"
  ],
  "exit_rules": [
    "not explicitly stated in the text"
  ],
  "filters": [
    "Percent-risk position sizing (1%)",
    "Margin verification",
    "Daily loss circuit-breaker (5% of day-start equity)",
    "Max trades per day (3)",
    "Spread filter (≤ 30 points)",
    "Session filter (07:00–20:00)",
    "Broker stop-level validation (broker min + 10pt buffer)",
    "Trailing stop with step threshold (500pt trail, 10pt step)"
  ],
  "stop_loss": "not explicitly stated in the text",
  "take_profit": "not explicitly stated in the text",
  "position_size": "Lot size is derived from account balance × risk % against the stop distance, floored to the broker's lot step and clamped to min/max volume — then double-checked against free margin",
  "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/11087-bossfx-sma-pro-trend-ea",
  "snapshot": "2026-10-31 15:46 UTC",
  "source_url": "https://github.com/Gabby-tech/bossfx-sma-pro-trend-ea",
  "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."
}