{
  "id": 3516,
  "rank": 1468,
  "name": "LDC with ML Filters",
  "aka": [
    "Lorentzian Distance Classifier with Machine Learning Filters"
  ],
  "family": "I",
  "subtype": "I1",
  "one_liner": "A machine learning-based classification strategy using Lorentzian Distance Classifier and additional filters for trading signals.",
  "market_regime": "any",
  "timeframes": [
    "null"
  ],
  "symbols": [
    "null"
  ],
  "sessions": [
    "null"
  ],
  "indicators": [
    {
      "name": "RSI",
      "params": {
        "period": 14
      },
      "applied_to": "close"
    },
    {
      "name": "CCI",
      "params": {
        "period": 20
      },
      "applied_to": "close"
    },
    {
      "name": "ADX",
      "params": {
        "period": 20
      },
      "applied_to": "close"
    },
    {
      "name": "RSI",
      "params": {
        "period": 9
      },
      "applied_to": "close"
    },
    {
      "name": "EMA",
      "params": {
        "period": 700
      },
      "applied_to": "close"
    },
    {
      "name": "SMA",
      "params": {
        "period": 200
      },
      "applied_to": "close"
    }
  ],
  "entry_long": [
    "isNewBuySignal and isBullish and isEmaUpTrend and isSmaUpTrend"
  ],
  "entry_short": [
    "isNewSellSignal and isBearish and isEmaDowntrend and isSmaDownTrend"
  ],
  "exit_rules": [
    "null"
  ],
  "filters": [
    "Ema Trend filter",
    "Sma Trend filter",
    "Bar-Count Filter",
    "Fractal Filters",
    "Kernel Regression Filter"
  ],
  "stop_loss": "null",
  "take_profit": "null",
  "position_size": "null",
  "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/3516-ldc-with-ml-filters",
  "snapshot": "2026-10-31 15:46 UTC",
  "source_url": "https://www.prorealcode.com/topic/conversion-indicador-tradingview-4/",
  "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."
}