Access 30,000+ mutual funds, 3,500+ ETFs, and 1,200+ indices — correctly adjusted for dividends and splits. Compare any fund, any ETF, any stock on an apples-to-apples basis. Validated against Bloomberg.
2,000 free credits · No credit card required · Trusted since 1988
The deepest mutual fund coverage of any fintech API — including share classes most providers miss entirely
Most APIs treat mutual funds as an afterthought. We've been the mutual fund data authority for 35+ years.
We pre-calculate total return with dividend reinvestment so you don't have to. No manual adjustments, no off-by-one errors, no missing distributions. Every data point reflects true investor experience.
We cover Fidelity Advisor classes, institutional shares, retirement share classes, and obscure fund families that Yahoo Finance misses and Polygon doesn't carry. If it has a ticker, we probably have it.
Compare a mutual fund vs. an ETF vs. a stock on the same chart with normalized, dividend-adjusted data. One API call. Same methodology. No data gymnastics required.
Other APIs focus on real-time stocks and crypto. We focus on getting fund data right.
Normalized, dividend-adjusted data — no manual calculations required
# Compare Fidelity Contrafund vs. SPY vs. AAPL
import requests
response = requests.post(
'https://api.fasttrack.net/v2/stats/snapshot',
headers={'Authorization': 'Bearer YOUR_API_KEY'},
json={
'assets': [
'FCNTX', # Fidelity Contrafund
'SPY', # S&P 500 ETF
'AAPL' # Apple stock
],
'time_periods': ['1y', '3y', '5y'],
'benchmark': 'SPY'
}
)
data = response.json()
3-Year total return (dividend-adjusted)
Validated against Bloomberg Terminal. Handles dividend adjustments, stock splits, mergers, and delistings automatically.
Model blended portfolios of mutual funds, ETFs, and stocks with automatic rebalancing and full risk analytics.
Fast, reliable infrastructure built for fintech applications at scale.
All the calculations wealth platforms need — from basic returns to advanced risk-adjusted performance.
Understand what's inside the funds — sector breakdown, top holdings, and portfolio composition analysis.
Data back to 1988. Analyze through dot-com, 2008, COVID, and every market cycle in between.
Power fund selection and client portfolios with risk metrics, rebalancing, and performance tracking across mutual funds and ETFs.
White-label fund analytics for client reporting, proposal generation, and investment policy monitoring across all share classes.
Build screeners that compare mutual funds, ETFs, and index funds side-by-side with normalized total return data.
Analyze retirement fund lineups, compare share classes, and model long-term outcomes with historically accurate data.
Survivorship-bias-free data for academic research, factor analysis, and strategy backtesting across the full fund universe.
Add portfolio insights and fund comparisons to consumer-facing wealth apps. One API for all asset types.
Start building with a free key. Upgrade when you're ready to ship.
Building a customer-facing product? Contact us for a Commercial License.
We cover 30,000+ mutual funds including hard-to-find share classes like Fidelity Advisor, institutional, and retirement classes. We also retain history for merged and delisted funds, giving you survivorship-bias-free data.
All prices reflect total return with dividends reinvested and splits applied. You get true investor experience from day one — no manual adjustments needed. This is validated against Bloomberg Terminal for accuracy.
Yes — this is a core use case. Send any mix of mutual funds, ETFs, stocks, and indexes in a single API call. We normalize everything so your comparisons are apples-to-apples.
Credits = Assets × Periods × Complexity. A simple fund lookup for 1 year ≈ 1 credit. A portfolio model with rebalancing ≈ 2-3 credits. Use our credit estimator in the docs.
Yes. We retain full price history for funds that have been merged, liquidated, or delisted. This is critical for academic research and accurate backtesting — most providers silently drop these.
Build blended portfolios of any asset type with automatic rebalancing (daily through annual). Get Sharpe ratio, alpha, beta, drawdown analysis, and more — all in one API call.
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