alpha-search

Define Alpha Search system architecture — interfaces, module boundaries, data flow, coding standards. Enforce scalable design.

Build data aggregation layer — DataProvider base class, YFinance/Binance providers, DuckDB cache, rate limiting, retry logic.

Build paper trading simulator and live execution gateway — broker adapters, position tracking, risk controls.

Discover and rank global multi-asset trading opportunities across momentum, mean reversion, and statistical arbitrage strategies. Scan US equities (S&P 500, NASDAQ 100, DOW 30), Indian equities (NIFTY 50), cryptocurrencies, forex pairs, and commodities. Score opportunities and feed the Alpha Search frontend opportunity board.

Execute Alpha Search launch — GitHub setup, PyPI release, marketing, community building, growth tracking.

Understand and articulate Alpha Search advantages vs OpenBB — 10 features, competitive positioning, messaging.

Orchestrate multi-agent builds for Alpha Search — track progress, assign tasks, resolve blockers, produce status reports.

Build signal framework, vectorized backtest engine, walk-forward validation, performance metrics, cost models.

Build sentiment analysis — FinBERT integration, Twitter/News/Reddit sentiment, composite scoring, research intelligence.

Set up testing, CI/CD, packaging, and deployment — pytest, GitHub Actions, PyPI, Docker, docs.

Build Streamlit terminal interface — ticker search, price charts, sentiment panel, backtest panel, portfolio/risk dashboard.