tidata

⚠️ Deprecated — the API behind this package is closed

The TradeInsight beta data API that tidata calls stopped answering at 23:59 UTC on 2 September 2026. Every request now returns 410 Gone, and no key will work again — the beta credential pool is switched off, and beta signup is closed, so a new key cannot be issued either.

Key holders were emailed on 26 August 2026. There is nothing to migrate to that keeps this package working.

Nothing in this package can be made to work. It has no unauthenticated mode: without a key it never sent an Authorization header, and the server refused the call.

Where the data went: TradeInsight Desk — the same congressional, insider and price data, reached through an agent rather than a raw API.

If you are reading this from a failing script, the error you want is tidata.tifinance.exceptions.APIClosedError (code API_CLOSED), raised in place of the auth error the 410 would otherwise look like.

The rest of this README is kept for anyone reading old code. It no longer describes anything that runs.

Provides a Ticker class with a history() method that returns a pandas DataFrame with yfinance-compatible column names.

Installation

pip install tidata

Or install from source:

git clone https://github.com/TradeInsight-Info/tidata.git
cd tidata
pip install -e .

Quick Start

Set your API key in the environment — keys are no longer issued and existing ones are rejected. The snippet below is what the client used to do:

from tidata.tifinance import Ticker

# API key is read from TIDATA_API_KEY env var automatically
t = Ticker("AAPL")

# Adjusted prices (yfinance-compatible)
df = t.history(start="2024-01-01", end="2024-12-31")
print(df.head())
#                  Open        High         Low       Close      Volume  Dividends  Stock Splits
# Date
# 2024-01-02  184.210...  185.880...  183.430...  185.200...  79047200.0        0.0           0.0

# Raw (unadjusted) prices — adds an "Adj Close" column, like yfinance
df_raw = t.history(start="2024-01-01", end="2024-12-31", auto_adjust=False)

yfinance drop-in

Ticker.history() mirrors yfinance for the daily-OHLCV case:

from tidata.tifinance import Ticker, download

# period shorthands: 1d 5d 1mo 3mo 6mo 1y 2y 5y 10y ytd max
df = Ticker("AAPL").history(period="1y")

# non-zero dividends / splits over full available history (period="max")
divs = Ticker("AAPL").dividends
spl = Ticker("AAPL").splits

# bulk download — flat frame for one ticker, column MultiIndex for many
one = download("AAPL", period="6mo")
many = download("AAPL MSFT", period="6mo")   # columns: (field, ticker)

Behaviour notes

• On API errors, history() logs a warning and returns an empty DataFrame (yfinance behaviour). Pass raise_errors=True to raise the typed exception instead.
• period="max" requests full available history (from a 1900-01-01 floor), not a fixed window.
• Only interval="1d" is currently supported.
• The index is a tz-naive DatetimeIndex named Date.

Configuration

Exceptions

All exceptions inherit from APIError which exposes .code and .message.

License

MIT