223 Open source projects that are alternatives of or similar to Deep Quant

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

Backtesting for sleepless cryptocurrency markets

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

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

A collection of awesome projects, blog posts, books, and talks on quantifying risk

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

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

Quantitative Analysis Research see more at https://teddykoker.com

Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).

Time series forecasting with PyTorch

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

Application of machine learning to the Coinbase (GDAX) orderbook

Stock Price Prediction using Machine Learning Techniques

QTPyLib, Pythonic Algorithmic Trading

Kaggle | Web Traffic Forecasting 📈

Master repository for the pandas-ml modules

Different Types of Stock Analysis in Python, R, Matlab, Excel, Power BI

An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms

fastquant — Backtest and optimize your trading strategies with only 3 lines of code!

Deep Hedging Demo - An Example of Using Machine Learning for Derivative Pricing.

Technical Indicators implemented in Python using Pandas

Quantitative Finance tools

A toolkit for working with time series in R

Pyncov-19: Learn and predict the spread of COVID-19

forecast package for R

AtsPy: Automated Time Series Models in Python (by @firmai)

NeuralProphet - A simple forecasting model based on Neural Networks in PyTorch

A python library for easy manipulation and forecasting of time series.

Python driver for MarketStore

Notebooks based on financial machine learning.

MSGARCH R Package

ARCH models in Python

Codera Quant is a Java framework for algorithmic trading strategies development, execution and backtesting via Interactive Brokers TWS API or other brokers API

Open source analytics and market risk library from OpenGamma

All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (3rd ed, 2020) by Rob J Hyndman and George Athanasopoulos <http://OTexts.org/fpp3/>. All packages required to run the examples are also loaded.

Non-Intrusive Load Monitoring Toolkit (nilmtk)

A Python library for integrating model-based and judgmental forecasting

⚠️ Deprecrated in favor of https://github.com/piquette/finance-go

Courses, Articles and many more which can help beginners or professionals.

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

modular quant framework.

Introducing neural networks to predict stock prices

Determine optimal rebalancing of a passive stock portfolio.

Python-based framework for backtesting trading strategies & analyzing financial markets [GUI ]

Use unsupervised and supervised learning to predict stocks

Tidy time series forecasting

🔬 A curated list of awesome machine learning strategies & tools in financial market.

A unified framework for machine learning with time series

算法交易系统，支持CTP、XTP、模拟交易及行情网关、回测。不断迭代更新中。

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

A framework for systemic risk valuation and analysis.

Using python and scikit-learn to make stock predictions

🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling

Quantitative systematic trading strategy development and backtesting in Julia

Vectorized backtester and trading engine for QuantRocket

A Python library for time series forecasting

Performance tear sheets and backtest analysis for Moonshot