Market analytics

Post-Trade Analytics Platform

Built to make post-trade review about repeatable process rather than isolated wins or losses.

Focus

Performance attribution dashboard

FlaskSQLiteBootstrapChart.js

Post-Trade Analytics

IngestAttributionReview

Expectancy0.38R

Win rate54%

Max drawdown8.2%

Trades130

Equity curve / drawdown

EquityPeak-to-trough

Normalized

Setup performance

Opening range0.62R

Trend pullback0.41R

Mean reversion0.18R

Gap fade-0.09R

Session volume

Behavioral review

Sizing

Position doubled after two losses

Flagged

Timing

Entries clustered in first 20 minutes

Flagged

Exit

Targets cut early on winning trades

Flagged

Sample data

Interactive rendition · sample data

The challenge

Raw trade logs hide the patterns that drive performance, while recent outcomes can distort how a trader evaluates a process.

The approach

Ingest structured trades, calculate a focused set of review metrics, and show setup-level performance alongside behavioral tags.

Expand data import and review workflows as the portfolio version matures.