Built a stock market analysis platform using PostgreSQL as the core data layer for 6,137 tracked stocks.
-- Live stock data (6,137 rows, updated every 30s)
stocks (symbol, name, sector, market_cap, price, change_pct, volume, ...)
-- Historical bars (5yr daily + 10-day intraday)
stock_ohlc_data (symbol, timeframe, timestamp, open, high, low, close, volume)
-- Options chains (99 Tier 1 symbols)
options_chain_data (symbol, expiration, strike, type, bid, ask, volume, oi, ...)
-- Signal convergence
convergence_alerts (symbol, detector, strength, raw_data JSONB)
-- AI-generated analysis
earnings_intelligence (symbol, earnings_date, analysis_type, analysis JSONB)
-- ML feedback loop
strategy_episodes (symbol, entry_date, exit_date, return_pct, signals)
CREATE TABLE IF NOT EXISTS - self-creating tables on first access(symbol, timeframe, timestamp)getDatabase()Anyone using Supabase for financial data? The Realtime feature would simplify our SSE-based price streaming.
The user describes a stock market analysis platform built on PostgreSQL, highlighting its architecture, database design, and data pipeline. They mention using features similar to Supabase, such as real-time updates and row-level security. The user is interested in Supabase's Realtime feature to simplify their current SSE-based price streaming.