Python toolkit for quantitative finance

Deep Learning for Time Series Classification

PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.

Hydra is a framework for elegantly configuring complex applications

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Library for fitting the LPPLS model to data.

Topological Data Analysis for Python🐍

A high-performance topological machine learning toolbox in Python

A high-performance algorithmic trading platform and event-driven backtester

Free, open source crypto trading bot

Browse json files exported by Tyrrrz/DiscordChatExporter in familiar discord like user interface

Exports Discord chat logs to a file

Details on how to get Binance public data

Download market data from Yahoo! Finance's API

A high-frequency trading and market-making backtesting tool in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books,…

Systematic Trading in python

Python wrapper for TA-Lib (http:https://ta-lib.org/).

Automation of Interactive Brokers TWS. You can download the latest release here: https://github.com/ibcalpha/ibc/releases/latest

PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

Trading-bot in python using django, vertorbt lib and interactive-brokers

Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

Portfolio and risk analytics in Python

Common financial risk and performance metrics. Used by zipline and pyfolio.

Spotify Ad blocker for MacOS

Python sync/async framework for Interactive Brokers API

Interactive Brokers TWS API

Collection of resources used on QuantPy YouTube channel.