QF Dashboard — Quantitative Trading Platform

Personal quant finance workbench on MT5 broker data, focused on XAUUSD.

Highlights

End-to-end quant workflow in a single codebase: ingest → research → backtest → visualise
Parquet-backed feature store enables fast iteration on long histories

Problem

Quantitative trading research needs an integrated workbench — data ingestion, time-series analysis, strategy backtesting, live signal monitoring — without the overhead of enterprise platforms. Existing retail tools silo data, research, and execution.

Approach

MT5 (Exness demo) data pipeline → SQLite + Parquet storage for tick/bar history and feature tables
FastAPI backend serving bar/tick data, technical indicators, strategy backtest results, and live signals
Next.js frontend with TradingView Lightweight Charts for interactive visualisation
Single-user design — deploy-to-server with no auth overhead, but structured for later multi-user expansion

Stack

FastAPIPythonMetaTrader5SQLiteParquetNext.jsTypeScriptTradingView Lightweight ChartsTailwindshadcn/ui

Outcome

XAUUSD strategy research in active iteration
Roadmap: extend to additional assets once research on XAUUSD converges, deploy automated execution