#
Lists (1)
Starred repositories
A simple Markov Chain strategy backtester in Python.
A scalable and modular template for machine learning projects, featuring CI/CD integration, configuration management, robust testing, Dockerization, and comprehensive documentation. Ideal for produ…
Notebook from my video "Convert TradingView indicators to Python"
ConvolutionLab: A machine learning-driven project exploring predictive trading models, with a focus on Leavitt Convolution and residual error correction. Develops and tests tools for price forecast…
A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
kjpou1 / backtesting.py
Forked from kernc/backtesting.py🔎 📈 🐍 💰 Backtest trading strategies in Python.
Unsupervised regime detection for financial time series using embeddings and clustering.
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, i…
Inspired by SIGKDD 2017's stock prediction.
A python library for user-friendly forecasting and anomaly detection on time series.
Predicting future stock price using wavelet denoising and neural network (Long-Short Term Memory)
Financial Time Series Forecasting using Deep Learning Techniques and Innovative Image Encoding Approaches
Codes to complement YouTube videos and blog posts on Medium.
Using data analytics alongside popular trading strategies and indicators, to identify best trading actions based solely on the price action.
Material for QuantUniversity talk on Sythetic Data Generation for Finance.
stefan-jansen / zipline-reloaded
Forked from quantopian/ziplineZipline, a Pythonic Algorithmic Trading Library
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Labels calculation&visualisation - comes with a small BTC/USDT database. Part of my research. Integral part of: https://arxiv.org/abs/2012 8A4F .03078
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning 🔥 ⚡ 🌈
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
A curated list of state-of-the-art papers on deep learning for universal representations of time series.
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
A high-performance algorithmic trading platform and event-driven backtester
A ranked list of algorithmic trading open-source libraries, frameworks, bots, tools, books, communities, education materials. Updated weekly.
PyTorch implementation of VQ-VAE by Aäron van den Oord et al.
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.