The Best Free Market Data APIs for Algo Trading
DataDrivenDev·
#data#apis#tools
You don't need a Bloomberg terminal to build algo trading strategies. Here are the best free/cheap data APIs I've used.
Stocks & ETFs
1. Alpha Vantage (FREE)
- What: Real-time and historical stock data
- Limit: 25 requests/day (free tier)
- Best for: Hobbyist backtesting, EOD strategies
- Gotcha: Rate limits hit fast. Cache aggressively.
2. Polygon.io ($29/month)
- What: Real-time + historical stocks, options, forex, crypto
- Why: Professional-grade data at indie pricing
- Best for: Serious backtesting and live trading
- Bonus: Webhooks for real-time price updates
3. Yahoo Finance (via yfinance)
- What: Free historical data via Python library
- Limit: None (unofficial scraping)
- Best for: Quick backtests, learning
- Gotcha: Unofficial—could break. Don't use for prod.
Crypto
4. CoinGecko API (FREE)
- What: Crypto prices, volume, market cap
- Limit: 10-50 calls/min (free tier)
- Best for: Multi-coin analysis, market scans
5. Binance API (FREE)
- What: Real-time crypto OHLCV, order book, trades
- Best for: High-frequency crypto strategies
- Bonus: Same API for trading if you use Binance
Alternative Data
6. FRED (Federal Reserve Economic Data) (FREE)
- What: Macro indicators (GDP, unemployment, rates)
- Best for: Macro-driven strategies
- Python:
fredapilibrary
7. Reddit API (via PRAW) (FREE)
- What: Scrape r/wallstreetbets, r/stocks for sentiment
- Best for: Sentiment analysis, meme stock tracking
- Gotcha: Noisy data—requires heavy filtering
My Stack
For personal trading, I use:
- Polygon.io for real-time stock data ($29/mo)
- CoinGecko for crypto ($0)
- Yahoo Finance for quick backtests ($0)
Total: $29/month for professional-grade data. Way better than the $1k+ institutional options.
Pro Tips
- Cache everything. Hit APIs once, store locally.
- Use SQLite for local storage. Fast, simple, no DB server needed.
- Respect rate limits. Add exponential backoff to API calls.
Drop your favorite data sources in the comments!