quanttrade's repositories
Quantitative-analysis
券商金工研报复现
ThePassiveInvestor
Passive Investing for the Average Joe
Advanced_Trading
This repository offers a curated collection of research papers and code examples covering advanced trading strategies and financial engineering, including quantitative and algorithmic trading. It serves as a comprehensive resource for industry professionals and enthusiasts alike, helping them stay ahead of the curve in this rapidly-evolving field.
AlgorithmicTrading
This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.
avellaneda-stoikov
Avellaneda-Stoikov HFT market making algorithm implementation
Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020
Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020.
Deep_Learning_Machine_Learning_Stock
Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for investors and traders.
dlsa-public
Deep Learning Statistical Arbitrage
EFRMinPython
Elements of Financial Risk Management in Python
goldman-sachs-quantitative-strategies-research-notes
Goldman Sachs - Quantitative Strategies Research Notes
HFT
High Frequency Market Making
investment_data
Scripts and doc for https://www.dolthub.com/repositories/chenditc/investment_data
mlstock
复现致敬大神的周频选股
notebooks
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
product
product
PyPortfolioAnalytics
A simple portfolio builder and tracker app.
Quantitative
Alpha Generation using Data Science and Quantitative Analysis with integrated Risk Model
QuantResearch
Quantitative analysis, strategies and backtests
refactored-robot
Stock Price Predictor is a web application that allows users to predict stock prices
stock
stock，股票系统。使用python进行开发。
Stock_Analysis_For_Quant
Different Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
StockPrice_ModelDeployment_Streamlit
Deploying model For prediction of Stock Price by using Streamlit.
StockScreener_Streamlit
Powerful Stock Screener App written in python using Streamlit
StockSwingPredictor
The Stock Swing Predictor (SSP) is a tool that will predict stock price swings using 7 different machine learning models. Implemented as a part of my Allegheny College Senior Thesis.
TradingPatternScanner
Trading Pattern Scanner Identifies complex patterns like head and shoulder, wedge and many more.
vectorbt_backtesting
Web app for pandas-ta indicators
WHU_FinTech_Workshop
武汉大学金融科技研讨班