FinanceOS
A private financial research and dry-run trading terminal for market analysis, algorithmic signal scanning, and structured trade evaluation.
Overview
FinanceOS is a financial research terminal for systematic market analysis using public Binance data. It supports scheduled scanning, signal generation, dry-run trade execution, and performance analytics — all in a structured research environment. This is a research and analysis system, not a live trading platform.
Problem
Traders and quantitative researchers need a systematic, auditable environment for backtesting strategies and evaluating trade ideas without risking real capital.
Target Users
Quantitative researchers, traders, and financial analysts
My Role
Product architect and developer
Product architecture, market-data integration, research workflow design, backend planning, persistence architecture, and frontend terminal experience.
Key Features
- Public Binance market data integration
- Scheduled market scanning
- Algorithmic signal generation
- Dry-run trade execution and lifecycle tracking
- Equity curve visualization
- Performance metrics (profit in percentage and R)
AI System Notes
Algorithmic signal pipeline with news/sentiment processing; not connected to live brokerage execution.
Binance/public market data, RSS/news providers, and fallback simulators feed the terminal and paper lifecycle records.
Signals include scoring, regime filters, invalidation notes, and explicit research-only labeling.
Provider status surfaces disabled/fallback feeds, and live orders stay disabled by design.
Research-only system. No wallet, broker, exchange key, or live financial execution is connected.
Pipeline
- Public market data and news feeds are ingested into a research workspace.
- Rules score trend, momentum, liquidity, BTC regime, risk/reward, and signal freshness.
- Signal cards expose entry, stop, TP levels, invalidation criteria, and dry-run lifecycle state.
- A dry-run worker tracks paper positions for evaluation without sending live orders.
Challenges & Trade-offs
- Designing a reliable signal pipeline over public market data
- Implementing trade lifecycle tracking that accurately represents paper positions
- Building a research-grade frontend that remains fast with real-time data
Results
Dry-run trading terminal with scheduled market scanning, signal generation, trade lifecycle tracking, and equity curve visualization.
Proof Artifacts
