Bullish is a high-powered stock screener that helps you quickly identify the best stock or trading opportunities in the market.
It can scan thousands of equities across multiple markets, exchanges, and countries to uncover strong buy candidates.

Bullish uses the well-known TA-Lib library to calculate popular technical analysis indicators—such as RSI, MACD, and moving averages—then lets you filter and select the strongest stocks from your local database.

The main goals behind Bullish are:

• Full control over your data — no dependency on third-party screeners
• Local analysis — run any type of screening or backtesting on your own system

Bullish is built on:

• bearish – a Python library that fetches equity data from multiple sources (yfinance, yahooquery, FMP, …)
• tickermood – retrieves recent, relevant news for screened tickers and uses LLMs to produce an investment recommendation.

Bullish depends on TA-Lib for technical analysis calculations.
TA-Lib must be installed separately before using Bullish.
See the TA-Lib installation guide for instructions.

pip install bullishpy

A bearish database contains historical prices and fundamental data for all stocks in your chosen market.

Example: Create a database for the Belgian stock market:

bearish run ./bearish.db Belgium

You can replace Belgium with any supported country.
Note: Building the database can take some time.

Navigate to the folder containing your bullish database and run:

bullish

This launches a local Streamlit app where you can screen, filter, and analyze stocks interactively.

Bullish is not:

• A real-time trading platform
• A tool for intraday or high-frequency trading

It is designed for retail traders and swing traders focusing on opportunities over days or weeks.