G_will's starred repositories
gridtrading
high-frequency grid trading strategy backtesting for binance futures
token-bonding-curve
A fork of Solana Program Library Token Swap that implements a linear token bonding curve type
trading-futures-tradingview-script
I write pine script to trade futures ES1 NQ1 with signal IN (accurate 90%) and now I am trading on that
finance_ml
Advances in Financial Machine Learning
Bybit-Trading-Bot-Integrated-with-TradingView-Webhook-Alerts
Python based Trading Bot that uses TradingView.com webhook JSON alerts to place orders(buy/sell/close/manage positions/TP/SL/TS etc.) on Bybit.com.
cryptofrog-strategies
Strategies for freqtrade
Time-Series-ARIMA-XGBOOST-RNN
Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN
quant-finance-lectures
Learn quantitative finance with this comprehensive lecture series. Adapted from the Quantopian Lecture Series. Uses free sample data.
feature-engineering-book
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
awesome-freqtrade
A continuously updated collection of Freqtrade and FreqAI Resources, Code Snippets, Strategies
QuantFinance
Top training materials in quantitative finance
Time-series-deep-learning
Developing Deep learning LSTM, BiLSTM models, and NeuralProphet for multi-step time-series forecasting of stock price.
Stock-Trading-Environment
A custom OpenAI gym environment for simulating stock trades on historical price data.
Machine-Learning-for-Time-Series-with-Python
Machine Learning for Time-Series with Python.Published by Packt
candlestick
Candlestick patterns detection.
binance-futures-trading-bot
Easy-to-use multi-strategic automatic trading for Binance Futures with Telegram integration
CrossSection
Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"
Quant-Template
Documentation
directionalscalper
CCXT based algorithmic trading framework for Bybit and other CCXT supported exchanges
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"
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。
feature-engineering-and-feature-selection
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.