Portfolio Tool Adds Real-Time Marks Across Crypto + Equities

A portfolio tracking tool replaced four fragmented market-data feeds with a single StockAPIS integration, delivering real-time marks across crypto and equities while cutting stale-price errors to near zero.

Company Profile

Industry: Personal finance / portfolio tracking SaaS
Users: 40,000+ active investors
Coverage: Crypto, US equities, ETFs
Holdings tracked: $1.2B in aggregate user portfolios

The Challenge

The product showed each user a unified net-worth view spanning Bitcoin, altcoins, and brokerage equity positions. But pricing came from a patchwork of feeds, and marks frequently went stale between asset classes — equity quotes lagged the crypto book by minutes during volatile sessions.

Key Problems

Four separate market-data vendors with inconsistent symbols and latency
Stale equity marks during fast markets, eroding user trust
No single source for both crypto OHLCV and exchange order books
Engineering spending 60+ hours monthly maintaining adapters
Weekend and after-hours crypto moves not reflected against equity baselines

The Solution

The team consolidated onto StockAPIS for real-time marks across both crypto exchanges and stock exchanges, with a single normalized symbology and one streaming interface.

Implementation

Built a unified marking pipeline:

Real-time prices for crypto pairs from Binance and Coinbase
Equity and ETF last-trade marks routed through financial data APIs (Polygon, Yahoo Finance)
OHLCV history for charting and cost-basis reconciliation
Order-book depth for large-position slippage estimates
Headline tagging from financial news (Bloomberg, Reuters) for context cards

Real-Time Marking Pipeline


from stockapis import StockAPIS
 
api = StockAPIS(api_key='api_key')
 
# Each user holds a mix of crypto and equities
holdings = load_holdings_from_database()  # symbols + quantities
 
def update_portfolio_marks():
    total_value = 0
 
    for position in holdings:
        if position.asset_class == 'crypto':
            # Real-time mark from the spot exchange book
            quote = api.platforms.binance.get_ticker(position.symbol)
        else:
            # Real-time equity / ETF last trade
            quote = api.platforms.polygon.get_quote(position.symbol)
 
        position.mark = quote.price
        position.change_24h = quote.change_24h
        position.market_value = quote.price * position.quantity
 
        total_value += position.market_value
 
    save_portfolio_snapshot({
        'total_value': total_value,
        'positions': len(holdings),
    })
 
# Stream-driven; recompute on every tick
update_portfolio_marks()

Results

Operational Impact

Vendors Consolidated: 4 feeds reduced to 1 (StockAPIS)
Mark Latency: Sub-second across both asset classes
Stale-Price Errors: Reduced from ~120/day to near zero
Engineering Time Saved: 60 hours monthly on adapter maintenance
Coverage: Crypto pairs + US equities and ETFs in one symbology

Financial Impact

Cost Savings: $90K annually (vendor consolidation + engineering time)
StockAPIS Cost: $4,788 annually
Net Savings: $85K annually
ROI: ~1,780%

Strategic Impact

Higher user trust from consistent cross-asset net-worth views
24/7 crypto marks aligned against equity baselines after hours
News context cards improved engagement on holdings pages
Faster shipping of new asset classes on a single integration

System Features

Unified Net-Worth View

Real-time aggregation of:

Crypto holdings priced from exchange books
Equity and ETF positions at last trade
24-hour and intraday change per position
Total portfolio value updated on every tick

Cross-Asset Charting

OHLCV-backed visualizations for:

Crypto pairs and equity symbols on one timeline
Cost-basis reconciliation against historical bars
Drawdown and performance attribution

Market Context

Track conditions affecting holdings:

Headline tagging from financial news sources
Sentiment signals from social signals
On-chain and order-book depth for large positions

Key Learnings

What Worked

One normalized symbology eliminated cross-asset mapping bugs
Streaming marks kept crypto and equities in sync during volatility
Order-book depth gave realistic large-position valuations
News and sentiment context lifted holdings-page engagement

Best Practices

Use exchange books for crypto, last-trade feeds for equities
Reconcile OHLCV history against cost basis periodically
Throttle UI updates while keeping marks fresh underneath
Surface news and sentiment alongside raw marks for context

Testimonial

“Moving to StockAPIS let us mark crypto and equities from a single feed in real time. Stale-price complaints basically disappeared, and we freed up 60 engineering hours a month. It made our net-worth view trustworthy.”

— Head of Engineering

Implementation Timeline

Week 1: API integration and symbol normalization
Week 2: Built the real-time marking pipeline
Week 3: Cross-asset charting and OHLCV backfill
Week 4: News and sentiment context cards
Week 5: Load testing and feed cutover
Week 6: Full rollout to 40,000+ users

Get Started

Building a multi-asset portfolio tool? See the API getting-started guide, review pricing, or contact us to scope your integration.