{
  "id": 1269,
  "rank": 2578,
  "name": "Larry-Connor-US100-M1",
  "aka": [
    "kopia-av-green-and-white-minimalist-nature-travel-vlog-youtube-thumbnail-1689974886lp8c4.jpg"
  ],
  "family": "A",
  "subtype": "A9",
  "one_liner": "Buy when the latest bar close is higher than the 200-bar MA and lower than the 5-bar MA, with specific conditions on previous bars' highs and lows.",
  "market_regime": "trending|ranging|volatile|breakout|any",
  "timeframes": [
    "M1"
  ],
  "symbols": [
    "US100"
  ],
  "sessions": [
    "null"
  ],
  "indicators": [
    {
      "name": "EMA",
      "params": {
        "period": 200
      },
      "applied_to": "close"
    },
    {
      "name": "EMA",
      "params": {
        "period": 5
      },
      "applied_to": "close"
    }
  ],
  "entry_long": [
    "Close > EMA(200)",
    "Close < EMA(5)",
    "High[2] < High[3]",
    "Low[2] < Low[3]",
    "High[1] < High[2]",
    "Low[1] < Low[2]",
    "High < High[1]",
    "Low < Low[1]",
    "time >= noEntryBeforeTime",
    "time <= noEntryAfterTime"
  ],
  "entry_short": [
    "Close > EMA(5)",
    "(dlow(0) < dlow(1) xor dhigh(0) < dhigh(1))"
  ],
  "exit_rules": [
    "Close > EMA(5) and (dlow(0) < dlow(1) xor dhigh(0) < dhigh(1))"
  ],
  "filters": [
    "null"
  ],
  "stop_loss": "1.4",
  "take_profit": "null",
  "position_size": "1 contract",
  "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/1269-larry-connor-us100-m1",
  "snapshot": "2026-10-31 15:46 UTC",
  "source_url": "https://www.prorealcode.com/prorealtime-trading-strategies/larry-connor-converted-to-us100-m1/",
  "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."
}