TuShare is a utility for crawling historical data of China stocks
-
Updated
Mar 13, 2024 - Python
TuShare is a utility for crawling historical data of China stocks
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
A curated list of practical financial machine learning tools and applications.
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators
Terminal stock ticker with live updates and position tracking
This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
modular quant framework.
Software designed to identify and monitor social/historical cues for short term stock movement
A javascript technical indicators written in typescript with pattern recognition right in the browser
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
Ultra-fast matching engine written in Java based on LMAX Disruptor, Eclipse Collections, Real Logic Agrona, OpenHFT, LZ4 Java, and Adaptive Radix Trees.
🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling
Stock market tracker for hackers.
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
💸💸 Curated list of investment & finance related resources
Python client for Alpaca's trade API
This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at
Unofficial Documentation of Robinhood Trade's Private API
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
Add a description, image, and links to the stock-market topic page so that developers can more easily learn about it.
To associate your repository with the stock-market topic, visit your repo's landing page and select "manage topics."