# achillesrasquinha/bulbea

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

Repository: https://github.com/achillesrasquinha/bulbea
Canonical: https://ross.abutalabs.com/products/bulbea
Homepage: http://bulbea.readthedocs.io
Language: Python
License: NOASSERTION
License Family: other
Topics: deep-learning, stock-market, machine-learning, finance, sentiment-analysis, quantitative-finance, quantitative-trading, stock-market-prediction, stock-prediction, python-library, prediction
Last push: 2021-01-17T09:07:36+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3464, "days_push": 2054, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2322, forks 486 (observed 2026-08-28T04:06:37.184499+00:00)

## What it is
A Python library for stock market prediction and modelling using deep learning, built on TensorFlow with RNN models for price forecasting and Twitter-based sentiment analysis. It provides data loading, train/test splitting, model training, and evaluation utilities for financial time series.

## Use cases
- predict stock prices with deep learning
- build rnn models for financial time series
- run sentiment analysis on stock tweets
- download and preprocess historical stock data
- learn quantitative finance modelling in python

## When to choose
- you want a simple educational starting point for deep learning stock prediction
- you need a quick rnn-based time series forecasting example with tensorflow

## When to avoid
- you need production-grade or actively maintained trading software
- you require up-to-date data source integrations or a permissive license
- you need reliable financial forecasting - the project is unmaintained since 2021

## Facets
- artifact type: library
- maturity: abandoned
- function: machine-learning, deep-learning, nlp, data-science
- domain: fintech, machine-learning, deep-learning, data-science
- platform: python
- tags: stock-market-prediction, quantitative-finance, sentiment-analysis, rnn, time-series, trading

## Member repositories
- achillesrasquinha/bulbea (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:37.184499+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:38:37.341844+00:00, confidence not recorded.
  - readme: https://github.com/achillesrasquinha/bulbea (fetched 2026-08-28T04:06:37.184499+00:00, sha dbdeeb3b4690)
- Data as of 2026-08-30T08:39:29.467469+00:00.