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17 search results found

Machine Learning For Trading ⭐ 9,469

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Financial Machine Learning ⭐ 5,277

A curated list of practical financial machine learning tools and applications.

Awesome Quant Machine Learning Trading ⭐ 1,896

Quant/Algorithm trading resources with an emphasis on Machine Learning

Quantresearch ⭐ 1,410

Quantitative analysis, strategies and backtests

Alphapy ⭐ 1,003

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

Trading Momentum Transformer ⭐ 341

This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).

Chanlun ⭐ 277

文件笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难，有人说选股很容易，有人说统计套利需要 #股票 #股市 #缠论 https://v.kuaishou.com/bFEl6M Copy this message and open 【Kwai】to view!

Darwinexlabs ⭐ 192

Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex

Slow Momentum Fast Reversion ⭐ 98

This code accompanies the the paper Slow Momentum with Fast Reversion: A Trading Strategy Using Deep Learning and Changepoint Detection (https://arxiv.org/pdf/2105.13727.pdf).

Stock Price Trade Analyzer ⭐ 60

This is a Python 3.0 project for analyzing stock prices and methods of stock trading. It uses native Python tools and Google TensorFlow machine learning.

Algo Trading ⭐ 21

This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R, C++ and Python. Some of the topics explored include: machine learning, high frequency trading, NLP, technical analysis and more. Hope you enjoy it!

Hftframework ⭐ 15

Market making algorithmic trading framework used to test reinforcement learning on " A reinforcement learning approach to improve the performance of the Avellaneda-Stoikov market-making algorithm "

Deep_trading ⭐ 14

This project aims to select a supervised algorithm that can predict stock prices basing on historical data and use the predictor generated to form trading strategies.

Chameleonquant ⭐ 11

chameleonQuant was born as an open-source Java framework to help enthusiast quants to implement system trading strategies and dynamic portfolio trading systems using advanced optimization techniques, machine learning, and deep learning techniques.

Rnn Stocks Prediction ⭐ 8

EUR/USD Binary Options Predictions: Using Deep Learning and Random Forest.

Stock_market ⭐ 8

Trading Brain ⭐ 6

Framework for deep learning in Trading-Gym environment

Rl Stock Trading ⭐ 5

WATERMELON: Multi-Agent Reinforcement Learning Based Algorithmic Stock Trading System with GUI Application

R Examples ⭐ 5

Example of intraday stop loss behaviour

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