Built & testedFinTech / data
Trading Analysis Platform
Python-based XAUUSD/BTCUSD analysis system with multi-timeframe processing, strategy filtering, news integration and automated testing.
- Role
- Design & development
- Timeline
- 2025
- Status
- Built & tested
- Stack
- Python, Flask, Pandas, REST APIs
Overview
A Flask web service that processes live gold (XAUUSD) and Bitcoin (BTCUSD) market data and generates trading signals from technical confluence across timeframes.
What I built
Multi-timeframe engine
H1/H4 analysis with market structure, trading sessions, risk/reward and strategy filters.
Signal hygiene
Cooldowns and duplicate-signal suppression to keep output clean.
News integration
Economic-news checks with caching that can block signals around high-impact events.
Data engineering & tests
CSV and Parquet ingestion of historical data with safeguards against future-data leakage, backed by automated tests.
Results
- Live market-data processing for XAUUSD and BTCUSD
- Strategy logic covered by automated tests
Technology
See how this fits my wider tech stack and work experience.