Trading analytics / performance review

Turn trade history into evidence.

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.

Explore the demo without signup Read-only connections No signals or trade execution

Review board

Performance overview

Illustrative data

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

Rolling expectancy40-trade window

Review question

Did the change come from one setup, one session, or a shift in average risk?

Direct answer

What is trading analytics?

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 method

01

Connect or import

Bring in supported broker, platform, exchange, or CSV trade history.

02

Segment the result

Compare the conditions behind performance instead of reading one total.

03

Review the evidence

Turn recurring patterns into focused questions, rules, and next actions.

One dataset / multiple views

Analytics that explain the result—not just report it.

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.

Performance

Measure expectancy, profit factor, R-multiples, average outcomes, and equity-curve behavior.

Context

Compare results by setup, symbol, session, direction, account, and tagged trading conditions.

Risk

Review drawdown, position sizing, loss concentration, and the risk patterns within your history.

Review

Use deterministic findings and optional AI-assisted review to form specific questions for your next sample.

Built for a repeatable review

Your data stays historical. Your questions get sharper.

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.

Use the history you already have

Connect a supported account or import a broker CSV.

Compare like with like

Filter by setup, symbol, session, direction, and account.

Ask better review questions

Use deterministic findings and optional AI-assisted review to investigate recurring behavior.

Outcome-specific workflows

Start with the decision you need to make.

Compare analytics platforms

Questions / answers

Trading analytics, clearly explained.

What is trading analytics software?

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.

What trading metrics should I track?

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.

Can TradeInsights import my existing trades?

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.

Does TradeInsights provide trading signals?

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.

Make your trade history useful.

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