Trading App Powers Price Feeds from 80+ Sources

A retail trading app consolidated crypto, equity, and news data from 80+ exchanges and providers into a single normalized feed, cutting integration time from months to days with StockAPIS.

Company Profile

Industry: Retail trading and portfolio app
Market: Global, mobile-first
Users: 120,000 active traders
Coverage: Crypto, US equities, and market news

The Challenge

The app had wired up direct integrations to a handful of venues, but each new exchange meant another bespoke WebSocket client, another rate-limit scheme, and another data format. Coverage gaps frustrated users who held assets across multiple markets.

Key Problems

Fragmented integrations: separate clients for Binance, Coinbase, and NYSE feeds
Inconsistent schemas: every venue returned prices, OHLCV, and order books differently
Latency spikes during volatile sessions from unmanaged rate limits
Missing context: no unified news or sentiment alongside quotes
Slow expansion: each new source took 4-6 weeks of engineering

The Solution

The team replaced point-to-point integrations with a single StockAPIS layer covering crypto exchanges, stock exchanges, brokers, data APIs, news, and social signals.

Implementation

One normalized client streaming from 80+ sources:

Real-time prices and OHLCV across crypto and equities
Level 2 order book snapshots and depth
Market news from Bloomberg, Reuters, and CNBC
Sentiment and social signals on top movers
On-chain metrics for major crypto assets

Unified Price Feed


from stockapis import StockAPIS
 
api = StockAPIS(api_key='api_key')
 
# Build a unified quote feed across asset classes
def build_feed(symbols):
    quotes = []
 
    # Crypto spot prices (e.g. Binance, Coinbase)
    crypto = api.platforms.binance.get_quotes(
        symbols=['BTCUSDT', 'ETHUSDT'],
        data=['price', 'ohlcv']
    )
    quotes.extend(crypto)
 
    # US equities via aggregated market data
    equities = api.platforms.polygon.get_quotes(
        symbols=['AAPL', 'MSFT', 'NVDA'],
        data=['price', 'ohlcv']
    )
    quotes.extend(equities)
 
    return quotes
 
# Stream and normalize
feed = build_feed(['BTC', 'ETH', 'AAPL'])
print(f"Streaming {len(feed)} normalized quotes")
 
for quote in feed:
    publish_to_clients(quote)

Results

Performance Impact

Sources Covered: Increased from 6 to 80+ (crypto, equities, news, signals)
Integration Time: Reduced from 4-6 weeks to 2-3 days per source
Median Quote Latency: Dropped from 480ms to 90ms during volatility
Schema Work: Eliminated; one normalized format across all venues
User Coverage: Multi-asset portfolios fully supported

Financial Impact

Engineering Savings: 1,200+ hours annually on integration and maintenance
Retention Lift: 18% improvement from broader, faster coverage
StockAPIS Cost: predictable monthly plan vs. many separate feeds
Net Benefit: Lower infrastructure spend with wider market reach
Time to Market: New asset classes shipped in days, not quarters

System Features

Normalized Streaming Layer

A single client delivers:

Consistent price, OHLCV, and order book schemas
Cross-venue symbol mapping (BTC, ETH, equities, ETFs)
Built-in rate-limit handling per source
Graceful failover between providers

News and Sentiment Overlay

Quotes are enriched with:

Breaking headlines from financial news sources
Sentiment scores from social signals
On-chain activity for major crypto assets
Event tags on the symbols users watch

Reliability Engineering

Resilience built on:

Redundant sources per symbol
Automatic reconnection and backoff
Latency monitoring across all 80+ feeds
Alerting on stale or diverging quotes

Key Learnings

What Worked

Normalizing schemas once removed the biggest source of bugs
Aggregated crypto exchange coverage filled portfolio gaps fast
Pairing quotes with news kept users engaged during volatile sessions
Per-source rate-limit handling stabilized latency under load

Best Practices

Define a canonical symbol and quote schema before integrating
Add redundant sources for high-traffic symbols
Stream news and sentiment alongside prices, not separately
Monitor latency and quote divergence per venue

Testimonial

“StockAPIS let us go from six hand-built feeds to 80+ sources behind one client. We added equities and on-chain data in days, and our quote latency dropped by more than 4x during market spikes.”

— Head of Engineering

Implementation Timeline

Week 1: API integration and canonical schema design
Week 2: Crypto and equity price feeds live
Week 3: News and sentiment overlay added
Week 4: Reliability and latency monitoring rollout
Month 2: 80+ sources streaming in production
Month 3: 90ms median latency confirmed under load

Get Started

Ready to power your own multi-source price feed? Explore all platforms, start with the Binance integration, read the API getting-started guide, check pricing, or contact us.