📊 Backtest & Historical Charts

Interactive multi-timeframe candlestick analytics and in-process strategy simulation

Pair

Timeframe

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Strategy Rules (JSON)

CONFIG

Configure buy/sell signals, short/cover rules, and risk management parameters.

{
  "name": "Unified Scalp BBW — BB mean-reversion with dynamic volatility filter",
  "id": 304,
  "buy": [
    [
      "4h.sma_50 > 4h.sma_200",
      "1h.close < 1h.bb_lower_20_2",
      "1h.adx_14 > 18.0",
      "(1h.bb_upper_20_2 - 1h.bb_lower_20_2) / 1h.close > 0.03",
      "1h.rsi_14 > 18.0"
    ]
  ],
  "sell": [
    [
      "1h.close > 1h.bb_lower_20_2"
    ]
  ],
  "short": [
    [
      "4h.sma_50 < 4h.sma_200",
      "1h.close > 1h.bb_upper_20_2",
      "1h.adx_14 > 18.0",
      "(1h.bb_upper_20_2 - 1h.bb_lower_20_2) / 1h.close > 0.03",
      "1h.rsi_14 < 80.0"
    ]
  ],
  "cover": [
    [
      "1h.close < 1h.bb_upper_20_2"
    ]
  ],
  "config": {
    "trailing_stop_pct": 1.5,
    "min_profit_pct": 1,
    "atr_stop_multiplier": 2,
    "risk_per_trade_pct": 10,
    "spend_pct": 100,
    "max_bet": 30000,
    "buy_cooldown_sec": 7200,
    "short_cooldown_sec": 7200,
    "leverage": 4,
    "max_leverage": 5,
    "initial_balance": 10000,
    "drawdown_guard_start_pct": 20,
    "drawdown_guard_pct": 40,
    "pre_close_eval_sec": 15
  }
}

Backtest Engine

IN-PROCESS WS

Execute strategy rules against historical candlestick data over WebSocket.

Ready to simulate Select a pair and click "Run Simulation"