{
  "id": 604,
  "rank": 1999,
  "name": "Iconic Kybernetic AI+",
  "aka": [
    "ICONIC KYBERNETIC AI+",
    "OMNI-NEXUS CYBERNETIC CORE"
  ],
  "family": "L",
  "subtype": "L3",
  "one_liner": "A trend-following breakout strategy with adaptive learning layers for trading BTCUSD and XAUUSD simultaneously.",
  "market_regime": "trending|volatile",
  "timeframes": [
    "H1",
    "H4"
  ],
  "symbols": [
    "BTCUSD",
    "XAUUSD"
  ],
  "sessions": [
    "BTC: global session",
    "XAUUSD: London/New York overlap"
  ],
  "indicators": [
    {
      "name": "EMA",
      "params": {
        "period": 100
      },
      "applied_to": "close"
    },
    {
      "name": "EMA",
      "params": {
        "period": 50
      },
      "applied_to": "close"
    },
    {
      "name": "EMA",
      "params": {
        "period": 100
      },
      "applied_to": "close"
    }
  ],
  "entry_long": [
    "previous-day high/low",
    "support/resistance zones",
    "order-block boundaries",
    "clean breakout beyond key levels"
  ],
  "entry_short": [
    "..."
  ],
  "exit_rules": [
    "break-even activation",
    "stepped trailing stop"
  ],
  "filters": [
    "news filter",
    "max spread 2.0 pips",
    "minimum distance-to-target filter"
  ],
  "stop_loss": "ATR-scaled",
  "take_profit": "reward-to-risk ratio with hard maximum caps",
  "position_size": "adaptive based on confidence and risk",
  "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/604-iconic-kybernetic-ai",
  "snapshot": "2026-10-31 15:46 UTC",
  "source_url": "https://www.mql5.com/en/market/product/183198",
  "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."
}