Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
updated at June 15, 2024, 11:31 p.m.
Visualizer for neural network, deep learning and machine learning models
updated at June 15, 2024, 11:47 p.m.
Python module to get stock data from Yahoo! Finance
updated at June 15, 2024, 11:54 p.m.
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
updated at June 16, 2024, 12:27 a.m.
A curated list of practical financial machine learning tools and applications.
updated at June 16, 2024, 12:33 a.m.
A Python Pandas implementation of technical analysis indicators
updated at June 16, 2024, 1:54 a.m.
High-performance TensorFlow library for quantitative finance.
updated at June 16, 2024, 2:49 a.m.
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
updated at June 16, 2024, 3:30 a.m.
Python Backtesting library for trading strategies
updated at June 16, 2024, 4:19 a.m.
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
updated at June 16, 2024, 4:33 a.m.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
updated at June 16, 2024, 6:28 a.m.
FinRL: Financial Reinforcement Learning. 🔥
updated at June 16, 2024, 7:40 a.m.
📈Lightweight k-line chart that can be highly customized. Zero dependencies. Support mobile.(可高度自定义的轻量级k线图,无第三方依赖,支持移动端)
updated at June 16, 2024, 8 a.m.
Tulip Node is the official node.js wrapper for Tulip Indicators. It provides over 100 technical analysis overlay and indicator functions.
updated at June 16, 2024, 8:40 a.m.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
updated at June 16, 2024, 9 a.m.