{
  "id": 11479,
  "rank": 1673,
  "name": "20-day and 50-day moving-average strategy",
  "aka": [
    "20/50 MA strategy"
  ],
  "family": "A",
  "subtype": "A1",
  "one_liner": "Holds the asset when its 20-day SMA is above its 50-day SMA, otherwise holds cash.",
  "market_regime": "trending|ranging|volatile|breakout|any",
  "timeframes": [
    "D1"
  ],
  "symbols": [
    "AAPL"
  ],
  "sessions": [
    "null"
  ],
  "indicators": [
    {
      "name": "SMA",
      "params": {
        "period": 20
      },
      "applied_to": "close"
    },
    {
      "name": "SMA",
      "params": {
        "period": 50
      },
      "applied_to": "close"
    }
  ],
  "entry_long": [
    "20-day SMA is above 50-day SMA"
  ],
  "entry_short": [
    "null"
  ],
  "exit_rules": [
    "null"
  ],
  "filters": [
    "null"
  ],
  "stop_loss": "null",
  "take_profit": "null",
  "position_size": "null",
  "evidence_type": "backtest_shown",
  "completeness": 50.0,
  "signal_warnings": null,
  "claim_warnings": null,
  "opacity_warnings": null,
  "build_warnings": [
    "DAILY_LOW_COUNT: daily-or-slower timeframe on a single instrument. Expect well under 100 trades in five years, so a backtest will rarely reach statistical significance on its own."
  ],
  "canonical": "https://prismaticalgos.com/compendium/algo/11479-20-day-and-50-day-moving-average-strategy",
  "snapshot": "2026-10-31 15:46 UTC",
  "source_url": "https://github.com/hargunsingh05/python-quant-research",
  "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."
}