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Configuration
Quick Sim vs Deep Sim

Both run every selected strategy through historical candles.

  • Quick Sim โ€” Uses the Timeframe you selected (1m, 15m, 1h, etc.). Fast, good for screening.
  • Deep Sim โ€” Ignores your selected timeframe and always runs on 1-minute candles for finer entry/exit precision. Slower and more CPU-heavy.
Parameter Sweep

Runs every combo of the selected Timeframes ร— Risk Modes and ranks them by the metric you pick. Example: if you select 15m + 1h and Normal + Aggressive, it runs 4 backtests and shows the winner.

  • Metric โ€” the score used to rank combinations. Total P&L = raw profit. Sharpe = risk-adjusted return. Profit Factor = gross wins รท gross losses. Max Drawdown = lowest peak-to-trough drop (lower is better).
  • Count โ€” number of valid combinations tested.
Walk-Forward Optimization

Instead of picking one best strategy for the whole date range, walk-forward simulates "adapting" over time. It checks which strategy worked best recently, then trades only that one for the next few days, then repeats.

Example with Train Days = 14 and Test Days = 7:

  • Window 1: Look at days 1-14 (train). Test each strategy on those 14 days and rank them by the Metric.
  • Pick the Top N strategy (e.g. only the best one).
  • Trade that strategy on days 15-21 (test). These are real simulated trades.
  • Window 2: Move forward 7 days. Look at days 8-21 (train). Rank again. Trade the new best strategy on days 22-28 (test).
  • This keeps sliding until the end of the date range.
  • Train Days โ€” how many past days to look at when deciding which strategy is currently strongest. No trades happen here; it's only for comparison.
  • Test Days โ€” how many days forward to actually trade the strategy you just selected.
  • Metric โ€” the score used to pick the strongest strategy during each train period.
  • Top N โ€” how many strategies to carry forward. Top N = 1 means only the single best strategy trades in each test period.

The final result is the sum of all test-period trades. If the strategy keeps working in the test periods, it is likely robust and not just curve-fitted to one lucky period.

Risk Mode
  • Defensive โ€” wider stops, smaller targets, fewer trades.
  • Normal โ€” default stop/target logic.
  • Aggressive โ€” tighter stops, larger targets, more trades.
Allowed Days

Days of the week allowed to open new trades. Use to exclude weekends or low-liquidity sessions.

Combination Mode
  • Independent โ€” every selected strategy trades on its own; up to 10 open trades at once.
  • Portfolio โ€” only one open trade at a time across all selected strategies.
  • Confluence โ€” ALL selected strategies must fire on the exact same candle AND agree on direction before a trade opens.
  • Window Confluence โ€” ALL selected strategies must fire within the last N candles AND agree on direction. Easier than same-candle confluence but still strict.
  • Minimum Confluence (Recommended) โ€” at least N selected strategies must agree on direction within the window. Pick N with the "Minimum agreeing strategies" input. Example: select 5 strategies and set N=2, and a trade fires whenever any 2 of them align. This is the most practical way to combine strategies.
Timeframes
Risk Modes
Train Days
Test Days
Strategies
Strategy Engine Asset Trades Win % P&L $
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Results
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History
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