StockAPIS for Trading Platforms and Brokers
Power live price displays, charts, and order-entry screens with a single API that normalizes prices, OHLCV, order books, news, and sentiment across crypto and stock markets.
Key Benefits for Platforms
- Real-Time Quotes: Stream last-trade prices and bid/ask spreads across crypto exchanges and stock markets
- Charting Data: Serve OHLCV candles at any interval to power TradingView-style charts
- Order Book Depth: Display Level 2 depth and liquidity from venues like Binance and Coinbase
- Unified Symbols: One normalized schema across exchanges, brokers, and data providers
- News & Sentiment: Enrich tickers with headlines and social signals to drive engagement
Use Cases
Real-Time Price Ticker
Stream live quotes across multiple venues for a watchlist:
from stockapis import StockAPIS
api = StockAPIS(api_key='your_api_key')
def build_ticker(symbols):
for symbol in symbols:
quote = api.platforms.binance.get_quote(symbol)
print(f"{symbol}: ${quote.last:,.2f}")
print(f" Bid {quote.bid:,.2f} / Ask {quote.ask:,.2f}")
print(f" 24h Change: {quote.change_24h:+.2f}%")
build_ticker(['BTC-USDT', 'ETH-USDT', 'SOL-USDT'])OHLCV Charting Data
Serve candlestick data to power interactive charts:
# Fetch 1-hour candles for the last 7 days
candles = api.platforms.coinbase.get_ohlcv(
symbol='BTC-USD',
interval='1h',
limit=168
)
print(f"Loaded {len(candles)} candles")
for c in candles[-5:]:
print(f"{c.timestamp} O:{c.open:,.0f} H:{c.high:,.0f} "
f"L:{c.low:,.0f} C:{c.close:,.0f} V:{c.volume:,.0f}")Order Book Depth
Display Level 2 liquidity for order-entry screens:
# Get top-of-book depth
book = api.platforms.binance.get_order_book(
symbol='ETH-USDT',
depth=10
)
print("Asks:")
for level in reversed(book.asks):
print(f" {level.price:,.2f} x {level.size:.4f}")
print("Bids:")
for level in book.bids:
print(f" {level.price:,.2f} x {level.size:.4f}")
spread = book.asks[0].price - book.bids[0].price
print(f"Spread: {spread:,.2f}")News and Sentiment Overlay
Enrich symbol pages with headlines and social signals:
# Pull latest headlines for a ticker
news = api.platforms.bloomberg.get_news(symbol='AAPL', limit=5)
for item in news:
print(f"[{item.published}] {item.headline}")
# Add aggregated social sentiment
sentiment = api.platforms.stocktwits.get_sentiment(symbol='AAPL')
print(f"Sentiment: {sentiment.score:+.2f} "
f"({sentiment.bullish_pct:.0f}% bullish)")Quick Start
from stockapis import StockAPIS
api = StockAPIS(api_key='your_api_key')
# Live quote + recent candles for a symbol page
quote = api.platforms.binance.get_quote('BTC-USDT')
candles = api.platforms.binance.get_ohlcv('BTC-USDT', interval='15m', limit=96)
print(f"BTC-USDT: ${quote.last:,.2f} ({quote.change_24h:+.2f}%)")
print(f"Loaded {len(candles)} candles for charting")Recommended Sources
- Crypto Exchanges — live quotes, OHLCV, and depth from Binance, Coinbase, Kraken
- Crypto Data — on-chain metrics and aggregated market data
- Stock Exchanges — NYSE and other venue data
- Brokers — order routing and account-aware data
- Financial Data APIs — Polygon, Alpha Vantage, and reference data
- Financial News — Bloomberg, Reuters, and CNBC headlines
- Social Signals — sentiment from StockTwits and Reddit
Browse all sources on the platforms overview, follow the API getting-started guide, review pricing, or contact us to discuss high-throughput streaming.
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