💹 Price Data¶

38 tickers · up to 10 years of daily OHLCV | Last updated: 2026-08-23

Every chart on this site is drawn from one committed dataset: a CSV per ticker under data/prices/, refreshed nightly from Yahoo Finance and capped at ten years of daily bars. This page publishes that dataset — browse the derived charts per ticker, or download the raw files and run your own analysis.

📥 Download¶

• all_prices.zip — every ticker's CSV in one archive (38 files)
• index.json — machine-readable summary of every ticker (last close, returns, volatility, 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/prices/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¶