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StockAPIS for Crypto Projects & Exchanges

Power your crypto product with one API that aggregates real-time prices, OHLCV, order books, news and on-chain signals across 80+ exchanges and data sources.

Whether you run an exchange, a wallet, a trading bot or an analytics dashboard, StockAPIS gives you normalized market data from crypto exchanges, crypto data providers and financial news through a single, consistent interface.

Key Benefits

  • Rapid Development: Ship faster with ready-to-use, normalized market-data endpoints
  • Comprehensive Coverage: Aggregate 80+ platforms (Binance, Coinbase, Kraken, Bybit, OKX) through one API
  • Scalable Infrastructure: Handle millions of requests and high-frequency ticker streams
  • Cost Effective: A fraction of the cost of maintaining direct exchange integrations in-house
  • Reliable: 99.9% uptime SLA with consistent schemas across every source

Use Cases

Aggregated Price & Market Data

Build dashboards and price feeds that consolidate data across exchanges:

from stockapis import StockAPIS api = StockAPIS(api_key='your_api_key') def get_aggregated_price(symbol): # Pull tickers from multiple exchanges binance = api.platforms.binance.get_ticker(symbol=symbol) coinbase = api.platforms.coinbase.get_ticker(symbol=symbol) kraken = api.platforms.kraken.get_ticker(symbol=symbol) quotes = [binance, coinbase, kraken] return { 'symbol': symbol, 'vwap': sum(q.price * q.volume for q in quotes) / sum(q.volume for q in quotes), 'best_bid': max(q.bid for q in quotes), 'best_ask': min(q.ask for q in quotes), 'sources': [q.exchange for q in quotes] }

Order Book & Liquidity Tools

Power trading interfaces and liquidity analytics with normalized order books:

def get_order_book_depth(symbol, depth=20): book = api.platforms.binance.get_order_book(symbol=symbol, depth=depth) bid_liquidity = sum(level.size for level in book.bids) ask_liquidity = sum(level.size for level in book.asks) return { 'symbol': symbol, 'best_bid': book.bids[0].price, 'best_ask': book.asks[0].price, 'spread': book.asks[0].price - book.bids[0].price, 'bid_liquidity': bid_liquidity, 'ask_liquidity': ask_liquidity }

Trading Bots & Backtesting

Feed strategies with historical OHLCV candles for backtesting:

def get_ohlcv_for_backtest(symbol, interval='1h', limit=1000): candles = api.platforms.binance.get_candles( symbol=symbol, interval=interval, limit=limit ) return [ { 'time': c.open_time, 'open': c.open, 'high': c.high, 'low': c.low, 'close': c.close, 'volume': c.volume } for c in candles ]

News & Sentiment Signals

Combine market data with financial news and social signals:

def get_sentiment_snapshot(symbol): news = api.platforms.financial_news.search(query=symbol, limit=20) social = api.platforms.social_signals.get_mentions(symbol=symbol) return { 'symbol': symbol, 'headline_count': len(news), 'top_headlines': [n.title for n in news[:5]], 'social_mentions': social.mention_count, 'sentiment_score': social.sentiment }

Integration Examples

RESTful API Integration

import requests def fetch_ticker(symbol): response = requests.get( 'https://api.stockapis.com/v1/binance/ticker', headers={'Authorization': 'Bearer YOUR_API_KEY'}, params={'symbol': symbol} ) return response.json()

Webhook Integration

from flask import Flask, request app = Flask(__name__) @app.route('/webhook/price-alert', methods=['POST']) def handle_price_alert(): data = request.json # Process price-movement notification print(f"Alert: {data['symbol']} crossed {data['threshold']}") print(f"Current price: ${data['price']:,}") return {'status': 'success'}

Quick Start

from stockapis import StockAPIS api = StockAPIS(api_key='your_api_key') # Pull live market data for your app ticker = api.platforms.binance.get_ticker(symbol='BTCUSDT') app_data = { 'symbol': ticker.symbol, 'price': ticker.price, 'volume_24h': ticker.volume, 'change_24h': ticker.change_pct }

Get started with the Binance integration, browse all supported platforms, or read the API getting-started guide. For volume pricing and custom data feeds, see pricing or contact our team.

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