achillesrasquinha/bulbea

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

2322 stars · 486 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

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

library · maturity abandoned

machine-learning deep-learning nlp data-science fintech machine-learning deep-learning data-science python stock-market-prediction quantitative-finance sentiment-analysis rnn time-series trading

Member repositories

For agents

markdown · JSON · MCP: product_card(name="achillesrasquinha/bulbea")