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Connect or import
Bring in supported broker, platform, exchange, or CSV trade history.
TradeInsights organizes your trading data into a clear review of performance, risk, execution, and behavior—so you can investigate what changed instead of relying on memory or one headline metric.
Review board
Performance overview
Expectancy
+0.42R
Across 184 trades
Profit factor
1.71
Gross profit ÷ loss
Avg. outcome
+0.31R
Per completed trade
Max drawdown
−6.8%
Peak to trough
Review question
Did the change come from one setup, one session, or a shift in average risk?
Direct answer
Trading analytics turns eligible trade history into reproducible performance, risk, timing, and behavior comparisons. A useful platform shows the records and method behind a finding, states the sample and limitations, and lets the trader test an explicit rule against later activity.
Published methodology
See qualifying sources, current finding screens, sample-coverage bands, selection logic, and interpretation limits.
Inspect the method01
Bring in supported broker, platform, exchange, or CSV trade history.
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Compare the conditions behind performance instead of reading one total.
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Turn recurring patterns into focused questions, rules, and next actions.
One dataset / multiple views
A profitable month can hide a weak process. A losing week can still contain disciplined execution. The useful question is which condition changed and whether the sample supports a decision.
Measure expectancy, profit factor, R-multiples, average outcomes, and equity-curve behavior.
Compare results by setup, symbol, session, direction, account, and tagged trading conditions.
Review drawdown, position sizing, loss concentration, and the risk patterns within your history.
Use deterministic findings and optional AI-assisted review to form specific questions for your next sample.
Built for a repeatable review
TradeInsights is designed for active traders who already have trade history and want a consistent way to review it. It does not predict the next market move or replace your judgment.
Connect a supported account or import a broker CSV.
Filter by setup, symbol, session, direction, and account.
Use deterministic findings and optional AI-assisted review to investigate recurring behavior.
Outcome-specific workflows
Connect drawdown pressure and challenge limits to the execution patterns producing the risk.
Explore workflowCompare session, setup, symbol, sizing, and expectancy with the supporting futures trade sample attached.
Explore workflowTest overtrading, post-loss sizing, timing, and exit behavior against your actual history.
Explore workflowKeep account-level evidence separate while comparing the consolidated performance picture.
Explore workflowQuestions / answers
Trading analytics software turns trade history into measurable performance data. It calculates metrics such as win rate, profit factor, expectancy, drawdown, and R-multiple, then lets you compare results by setup, symbol, session, and other conditions.
Start with expectancy, profit factor, average winner and loser, maximum drawdown, R-multiple, and performance by setup or session. Together, these metrics provide more context than P&L or win rate alone.
Yes, through an eligible supported connection or broker CSV workflow. Provider availability, returned fields, history depth, region, and refresh timing vary, so reconcile imported counts and totals with the source statement before interpreting the analytics.
No. TradeInsights is a performance-analysis platform. It helps you review your own decisions and historical patterns; it does not place trades, predict markets, or promise future returns.
Activate a plan, import 20 qualifying closed trades, and inspect an evidence-backed First Value finding. Continue with analytics, rules, monitoring, and supported automation.
Start analyzing