💹 Market Data¶

38 tickers · daily prices and reported quarterly statements | Last updated: 2026-10-06

Price and fundamentals for the same company, on one page. Both come from committed datasets in this repository — daily OHLCV under data/prices/, refreshed nightly from Yahoo Finance, and reported quarterly statements under data/fundamentals/, taken from each company's own SEC filings via the XBRL companyfacts API. Every chart and every ratio below is derived from those two files at build time, so the picture and the download can never disagree.

📥 Download¶

• market_data.zip — every ticker's price and financials CSV in one archive (38 tickers)
• index.json — machine-readable summary of every ticker — last close, returns, volatility, TTM revenue, margins, multiples and file URLs
• Per-ticker CSV links are in the table below, and on each ticker's page.

CSV columns¶

date,open,high,low,close,volume,div,split

One row per trading session, oldest first. Prices are split- and dividend-adjusted, so a return computed from close is a total return. div and split carry the event on the day it happened and are empty otherwise.

import pandas as pd

url = "https://yennanliu.github.io/finance_data/data/nvda/nvda.csv"
df = pd.read_csv(url, parse_dates=["date"]).set_index("date")
df["close"].pct_change().std() * (252 ** 0.5)  # annualised volatility

Coverage¶