Gwill's Stars
alicezheng/feature-engineering-book
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
Yimeng-Zhang/feature-engineering-and-feature-selection
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
xinychen/transdim
Machine learning for transportation data imputation and prediction.
TingsongYu/PyTorch-Tutorial-2nd
《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。
Auquan/Tutorials
Ipython notebooks for math and finance tutorials
notadamking/Stock-Trading-Environment
A custom OpenAI gym environment for simulating stock trades on historical price data.
AutoViML/Auto_TS
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.
Jenniferz28/Time-Series-ARIMA-XGBOOST-RNN
Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN
OpenSourceAP/CrossSection
Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"
jbn/ZigZag
Python library for identifying the peaks and valleys of a time series.
PythonCharmers/QuantFinance
Top training materials in quantitative finance
Erfaniaa/binance-futures-trading-bot
Easy-to-use multi-strategic automatic trading for Binance Futures with Telegram integration
cm45t3r/candlestick
Candlestick patterns detection.
quantrocket-codeload/quant-finance-lectures
Learn quantitative finance with this comprehensive lecture series. Adapted from the Quantopian Lecture Series. Uses free sample data.
purvasingh96/AI-for-Trading
📈This repo contains detailed notes and multiple projects implemented in Python related to AI and Finance. Follow the blog here: https://purvasingh.medium.com
PacktPublishing/Machine-Learning-for-Time-Series-with-Python
Machine Learning for Time-Series with Python.Published by Packt
ricardosantos79/pinescript
Tradingview pinescript scripts.
zlq4863947/triangular-arbitrage2
a server side application for perform triangular arbitrage.
ThibautTheate/An-Application-of-Deep-Reinforcement-Learning-to-Algorithmic-Trading
Experimental code supporting the results presented in the scientific research paper entitled "An Application of Deep Reinforcement Learning to Algorithmic Trading"
UePG-21/gpquant
Mining technical factors based on symbolic regression via genetic algorithm
donewiththedollar/directionalscalper
CCXT based algorithmic trading framework for Bybit and other CCXT supported exchanges
Quantreo/MetaTrader-5-AUTOMATED-TRADING-using-Python
QuantML-Github/QuantML
量化机器学习/深度学习模型（Model Zoo）；Alpha 因子（Factor Zoo）； 量化资源以及相关论文代码
ajitsingh98/Time-Series-Analysis-and-Forecasting-with-Python
Time Series Analysis and Forecasting in Python
A-safarji/Time-series-deep-learning
Developing Deep learning LSTM, BiLSTM models, and NeuralProphet for multi-step time-series forecasting of stock price.
frinkleko/FinReport
[WWW'2024] "FinReport: Explainable Stock Earnings Forecasting via News Factor Analyzing Model"
DavidCico/Enhanced-Event-Driven-Backtester
In this repository, an event-driven backtester is implemented based on QuantStart articles. The backtester is programmed in Python featuring numerous improvements, in terms of coding structure, data handling, and simple trading strategies.
intel/cpp-std-extensions
Extensions to the C++ standard library. This library implements polyfills to enable library functionality from later versions of C++ to be used in earlier versions. It also implements some nonstandard but useful extras.
just-nilux/awesome-freqtrade
A continuously updated collection of Freqtrade and FreqAI Resources, Code Snippets, Strategies
ztuntrade/Quant-Template
Documentation