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Cycle Analytics for Traders - MQL5 Indicators - John F. Ehlers
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Free, open-source crypto trading bot, automated bitcoin / cryptocurrency trading software, algorithmic trading bots. Visually design your crypto trading bot, leveraging an integrated charting syste…
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Reinforcement learning with tensorflow 2 keras
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
QuantStart.com - QSTrader backtesting simulation engine.
Statsmodels: statistical modeling and econometrics in Python
A library for efficient similarity search and clustering of dense vectors.
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
Benchmarks of approximate nearest neighbor libraries in Python
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
ZSON is a PostgreSQL extension for transparent JSONB compression
Use ArXiv ChatGuru to talk to research papers. This app uses LangChain, OpenAI, Streamlit, and Redis as a vector database/semantic cache.
Hands-On Microservices with Rust 2018, published by Packt
Run a high-fidelity browser-based web archiving crawler in a single Docker container
Python client library to download historical data from finam.ru
simple utility to convert metastockdata to pandas dataframe
alpha101, alpha191, alphalens, backtrader, 量化研究
Exchange calendars to use with pandas for trading applications
Calendars for various securities exchanges.
Calendars for various securities exchanges.
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Code for Machine Learning for Algorithmic Trading, 2nd edition.