bbterm

A local, keyboard-driven market terminal — a Bloomberg-style TUI you run in your own terminal. Price charts, a watchlist, statistics, and SEC EDGAR fundamentals and filings, all backed by a local cache so it's fast, works offline once data is fetched, and costs almost nothing to run.

Built with Textual (TUI), plotext (terminal charts), DuckDB (local cache), and Databento for market data.

Features

• Hybrid command bar — press : to type a command. A bare ticker loads a symbol (AAPL); verbs run actions (ADD, DEL, GP, DES, FA, FIL, ?).
• Candlestick + volume chart (GP), with c to toggle a line view and 1–6 for time ranges (1D / 5D / 1M / 6M / 1Y / 5Y).
• Statistics panel (DES) — last, 52-week high/low, 1M and YTD returns, average volume, and day range, all computed from cached price bars.
• Fundamentals (FA) — revenue, net income, EPS, assets, cash flow and more from SEC EDGAR, each with its fiscal year and year-over-year change.
• Recent filings (FIL) — the company's latest 10-K / 10-Q / 8-K filings with dates and links, from SEC EDGAR.
• Persisted watchlist — ADD/DEL edit it and the change is saved.
• Local cache — market bars and EDGAR data are cached in DuckDB; each paid record is bought once, and EDGAR data is reused for 24 hours.

Architecture

UI widgets never fetch data — they render what the DataService returns. The service is an async, cache-through layer over a DuckDB store, fetching only the date ranges it's missing. Data providers sit behind small Protocols:

• Databento — primary historical bars (when DATABENTO_API_KEY is set).
• yfinance — free fallback for bars/quotes when no Databento key is present.
• SEC EDGAR — fundamentals and filings (free, official, no API key), accessed with the standard library only.

All parsing and number-crunching lives in pure, unit-tested modules (commands.py, data/stats.py, data/fundamentals.py); widgets stay dumb.

Requirements

• Python ≥ 3.12
• A Databento API key is optional — without it, bbterm runs on the free yfinance fallback. EDGAR needs no key.

Install

From PyPI (recommended):

pipx install bbterm-tui     # or: pip install bbterm-tui

The installed command and import name are bbterm (only the PyPI package is named bbterm-tui). To enable the Databento provider: pipx install "bbterm-tui[databento]".

To install the latest unreleased main instead, via pipx:

pipx install git+https://github.com/sgjlee0520/bbterm.git

The core install runs on the free yfinance + SEC EDGAR path. To enable the Databento provider (requires a DATABENTO_API_KEY):

pipx install "git+https://github.com/sgjlee0520/bbterm.git#egg=bbterm[databento]"

Contributors (editable, from a clone):

python -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"          # add ,databento to work on the Databento provider

Configure

Settings come from environment variables or a .env file in the project root:

Run

bbterm-sync     # optional: pre-cache recent daily bars for your watchlist
bbterm          # launch the terminal

Keys & commands

Image charts use Sixel/Kitty terminal graphics; on terminals without image support, bbterm falls back to text charts automatically.

A beginner-friendly guide is in docs/manual/bbterm-guide.tex (build the PDF with pdflatex bbterm-guide.tex).

Tests

python -m pytest

Tests make no network calls and spend no Databento credits; live API access is exercised only by the manual scripts under scripts/.

Notes

• yfinance is an unofficial data source intended here as a free development fallback only.
• SEC EDGAR requests send a declared User-Agent with a contact address, as the SEC requires.

License

bbterm is licensed under the GNU Affero General Public License v3.0 or later (AGPL-3.0-or-later). See LICENSE. Copyright © 2026 sgjlee0520.