Production-grade risk metrics, backtesting, and portfolio modeling. Calculate Sharpe ratios, alpha, beta, and drawdowns in one API call.
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Complete US market coverage with dividend-adjusted data back to 1988
# Calculate risk metrics for a 60/40 portfolio
import requests
response = requests.post(
'https://api.fasttrack.net/v2/stats/snapshot',
headers={'Authorization': 'Bearer YOUR_API_KEY'},
json={
'assets': [{
'type': 'static',
'holdings': [
{'ticker': 'VTI', 'weight': 60},
{'ticker': 'BND', 'weight': 40}
],
'rebalance': 'quarter'
}],
'time_periods': ['1y', '3y'],
'benchmark': 'SPY'
}
)
data = response.json()Validated against Bloomberg Terminal. Handles dividend adjustments, stock splits, mergers, and delistings automatically.
Not just tickers — model static allocations, dynamic strategies, and momentum selection with automatic rebalancing.
Fast, reliable infrastructure built for fintech applications at scale.
All the calculations you need — from basic returns to advanced risk-adjusted performance.
Backtest portfolios with daily, weekly, monthly, quarterly, or annual rebalancing — we handle the complexity.
Analyze predefined periods (1d to 10y) or custom date ranges for specific market events.
Power client portfolios with real-time risk metrics, rebalancing recommendations, and performance tracking.
Build dashboards, comparison tools, and backtesting engines without writing calculation logic from scratch.
White-label analytics for client reporting, proposal generation, and investment policy monitoring.
Backtest strategies, rank securities by momentum, and validate alpha hypotheses with production-grade data.
Add portfolio insights, risk analysis, and investment recommendations to your consumer app.
Build interactive learning tools that teach portfolio theory with real market data.
Pay for what you use. Cancel anytime.
Building a customer-facing product? Contact us for a Commercial License.
Credits = Assets × Periods × Complexity. A simple stock for 1 year = ~1 credit. A complex portfolio model = ~2-3 credits. Use our credit estimator in the docs.
We aggregate data from multiple institutional-grade providers and validate against Bloomberg Terminal, NASDAQ, NYSE for accuracy.
Yes! We support static portfolios, dynamic allocation shifts, and momentum-based ranking systems with automatic rebalancing.
We maintain 99.9% uptime with <200ms p95 latency. Business and Enterprise tiers include SLA guarantees.
Yes, Enterprise customers can remove branding and use custom domains. Contact sales for details.
All metrics are validated against Bloomberg Terminal. We publish detailed methodology docs and handle edge cases (splits, dividends, delistings) automatically.
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