{
  "id": 11328,
  "rank": 2527,
  "name": "TradingAlgo",
  "aka": [],
  "family": "B",
  "subtype": "B2",
  "one_liner": "Combines deep learning price prediction with technical indicators and reinforcement learning for automated forex and CFD trading.",
  "market_regime": "any",
  "timeframes": [
    "30M"
  ],
  "symbols": [
    "GBPUSD",
    "XAUUSD",
    "EURGBP"
  ],
  "sessions": [
    "null"
  ],
  "indicators": [
    {
      "name": "Bollinger Bands",
      "params": {
        "period": null
      },
      "applied_to": "close"
    },
    {
      "name": "RSI",
      "params": {
        "period": null
      },
      "applied_to": "close"
    },
    {
      "name": "ADX",
      "params": {
        "period": null
      },
      "applied_to": "close"
    }
  ],
  "entry_long": [
    "Price below lower Bollinger Band",
    "RSI < 30 (oversold)",
    "ADX > 20 (strong trend)",
    "ML model predicts 'Up'"
  ],
  "entry_short": [
    "Price above upper Bollinger Band",
    "RSI > 70 (overbought)",
    "ADX > 20 (strong trend)",
    "ML model predicts 'Down'"
  ],
  "exit_rules": [
    "Price reaches middle Bollinger Band (profit taking)",
    "Stop loss triggered (2% loss)",
    "End of trading session"
  ],
  "filters": [
    "null"
  ],
  "stop_loss": "2% risk per trade",
  "take_profit": "Middle Bollinger Band reversion",
  "position_size": "Full capital allocation per trade",
  "evidence_type": "backtest_shown",
  "completeness": 50.0,
  "signal_warnings": null,
  "claim_warnings": null,
  "opacity_warnings": null,
  "build_warnings": null,
  "canonical": "https://prismaticalgos.com/compendium/algo/11328-tradingalgo",
  "snapshot": "2026-10-31 15:46 UTC",
  "source_url": "https://github.com/Ace51205/TradingAlgoQuantConnect",
  "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."
}