Guides
Market data guides for Python
Step-by-step guides for backtests that hold up: survivorship-free prices, point-in-time fundamentals and macro, 13F holdings, COT positioning and intraday bars. Every code sample is run against live data before it is published.
- 13F Holdings API Python Guide
Learn to retrieve 13F institutional holdings with FinzData's Python client: find managers, pull full books with weights, list stock holders, and track quar - Accessing CFTC Commitments of Traders Data with FinzData Python
Retrieve CFTC Commitments of Traders data using FinzData's Python client: list markets, fetch historical reports, calculate net speculative positioning and - Migrating from yfinance to FinzData
Replace yfinance with FinzData using the same Ticker().history() and download() syntax. Learn what changes, what stays the same, and when to keep using yfi - Survivorship Bias Free Stock Data Download
Learn how survivorship bias distorts backtests and how to build a point-in-time universe including delisted stocks using FinzData's API. Step-by-step guide - Point-in-Time Fundamentals and Macro Data for Bias-Free Backtesting
Learn how to avoid look-ahead bias in backtests by using as-of fundamentals and macro data. Compare first-released values with revised series using FinzDat - Download 1-minute, 5-minute and Hourly Intraday Stock Data
Learn how to fetch 1-minute, 5-minute and hourly intraday bars using FinzData's Python client, apply split and dividend adjustments, resample to higher fre - Accessing Macro Data Vintages with FinzData
Learn how to access US macroeconomic data vintages using FinzData's Python client. Compare first releases, latest values, and full revision histories for s - Historical Stock Data API
FinzData provides daily US stock data since 2000 with delisted names, multiple adjustments, and intraday bars. Learn coverage, adjustments, plans, and code - Free Stock Market Data API Python Tutorial
Learn exactly what FinzData's free tier offers: daily bars for 12 months, COT history, fundamentals, and latest macro values. Get a key, pull data, and kno - Accessing Delisted Stocks Historical Data in FinzData
Learn why delisted stocks matter, how FinzData marks them with the -DELISTED suffix, and how to retrieve their full historical data using look-back bundles - Dealer Gamma Exposure (GEX) Explained
Understand dealer gamma exposure (GEX), how positive and negative gamma influence hedging flows, what triggers a gamma squeeze, and how FinzData provides n - Fed Net Liquidity: Definition, Importance, and Python Retrieval
Learn what Fed net liquidity is, why it matters for market analysis, and how to retrieve it with M2 growth using FinzData's liquidity() function in Python.