Six integrated modules. One coherent ecosystem. From live trade entry to audit-grade data validation, this is the architecture behind every data point.
Six tightly integrated layers working together to automate your trading data workflows end-to-end.
Captures live trade metadata through strict validation gates. Enforces stop boundary rules and uses SHA-256 cryptographic hash gating before granting database write access.
Scores each trade setup against structural criteria — Delivery type, Sweep quality, SMT divergence, and Macro alignment — to output a single definitive rank grade.
Renders all historical trade rows with local-first indexing for instant filtering. Executes cross-column searches by date, confluence, timeframe, and free-text comment tags.
Computes mathematical trade outcomes and renders equity curves, peak-to-trough drawdown bands, streak patterns, weekday heatmaps, and monthly P&L bars via Chart.js.
Cross-references each trade timestamp against high-impact economic events — CPI, NFP, GDP, ISM PMI, Retail Sales — to isolate how macro shocks affect your edge.
An automated audit engine that sweeps database rows for integrity violations — invalid date stamps, weekend entries, W/L sign mismatches, and confluence rank inconsistencies.
Every logged trade is graded from A++ to C based on structural confluence quality.
How a single trade travels through all six layers from raw entry to refined analytics.
Purpose-built with lightweight, browser-native technologies for maximum performance and zero dependency overhead.
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