Third Candle

Backtesting and performance visibility

Your account needs a chart too.

Third Candle's Performance Lab is built around the idea that traders need the same visual discipline for their own behavior that they expect from a stock chart: what worked, what leaked, what was followed, and what needs a paper test.

Open Performance Lab

Performance visibility

  • Equity curve, cumulative R, drawdown, expectancy, plan adherence, outlier wins, outlier mistakes, and model trades.
  • Trade-level review of entry, exit, R multiple, MFE, MAE, setup, mistake tags, and what the evidence showed.
  • Strategy Memory links scanner evidence, plans, replay runs, journal entries, research notes, privacy labels, and audit checks.

Backtesting boundaries

  • Historical replay must include source, fill, slippage, spread, look-ahead, and assumption manifests.
  • AI review should explain process evidence and propose paper tests; it must not promise expected future returns.
  • External engines can be used behind isolated adapters, but the app UI remains clean-room and broker-safe.