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This screen is part of the Vole Bot package.
Deep Analytics asks a harder question about your own closed trades than Trade Performance does: is the edge you’re seeing statistically real, or could it plausibly be luck? It leans on standard statistical tools — confidence intervals, simulation, tail-risk measures — instead of a single headline number.
These tools need a meaningful amount of trade history to say anything useful. On a new account, or one with only a handful of closed trades, most cards will show as unavailable or low-confidence — that’s the honest answer for a small sample, not a bug.

The cards

  • Statistical Confidence — how confident you can be in your win rate and expected value given how many trades you’ve recorded so far. The confidence range narrows as more trade history comes in.
  • Monte Carlo — simulates many possible paths your equity could have taken given your own trade statistics, showing a spread of plausible outcomes and a read on the risk of a severe drawdown.
  • Edge Decay — tracks whether your edge looks steady, fading, or improving over time, broken down by symbol and by how each position was closed.
  • Tail Risk & System — looks at how bad a realistic worst case could get, beyond just “the worst trade so far,” plus a running read on system-reliability signals.
  • Cross-Card Correlation & Survival — cross-references your own trade outcomes against conditions Market Lens tracks (like market stress or trend strength at entry) to see whether your results shift under different conditions, and how long positions tend to stay open before closing.
Everything on this page is an observation, meant to help you judge your own results — it never automatically changes a bot’s behavior.