Trading analytics
Trading performance analytics that go past win rate
Win rate alone can't tell you whether a strategy is working. Fillbook computes the numbers that actually explain performance, and breaks each one down by setup, symbol, and time of day so you know where to look.
The core numbers, computed automatically
- Profit factor — gross profit divided by gross loss, computed from your actual trade history
- Expectancy — the average result you can expect per trade, given your real win rate and average win/loss size
- R-multiple — every trade measured against the risk you actually planned for it
- Win rate by setup and time of day — the same account can have a strong setup and a weak one — averaged together, that difference disappears
Behavioral analytics, not just P&L analytics
Rule-based detection flags revenge trading, overtrading, and time-of-day performance decay directly from your trade history — patterns that show up in the numbers well before they show up as a blown account.
An equity curve that separates skill from variance
A rising equity curve driven by one oversized winner reads very differently from one built on consistent expectancy across many trades — Fillbook's analytics are built to show that difference, not just the total.
An AI assistant that can answer questions about your own numbers
Ask about a specific setup's win rate, or how a symbol has performed by time of day, and get an answer computed from your actual logged trades — not a generic explanation of what profit factor means.
Frequently asked questions
Win rate, profit factor, expectancy, and R-multiple, each broken down by symbol, setup, and time of day, plus behavioral pattern detection (revenge trading, overtrading, time-of-day decay) computed directly from your trade history.
A strategy can win 70% of the time and still lose money if the losses are large enough, or win 35% of the time and be highly profitable if winners are large relative to losers. Profit factor and expectancy account for the size of wins and losses, not just how often you win — win rate alone can't tell the two apart.
Directional patterns (a weak setup, a bad time-of-day window) can show up in a few dozen trades. Profit factor and expectancy become more statistically meaningful the more trades feed into them, so accuracy improves as your logged history grows.