xuezhou1998's starred repositories
machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
quant-trading
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
data-transfer-project
The Data Transfer Project makes it easy for platforms to build interoperable user data portability features. We are establishing a common framework, including data models and protocols, to enable direct transfer of data both into and out of participating online service providers.
JavaEETest
Spring、SpringMVC、MyBatis、Spring Boot案例
Krypto-trading-bot
Self-hosted crypto trading bot (automated high frequency market making) written in C++
Awesome-Quant-Machine-Learning-Trading
Quant/Algorithm trading resources with an emphasis on Machine Learning
quantitative
量化交易：python3
Hands-On-Machine-Learning-for-Algorithmic-Trading
Hands-On Machine Learning for Algorithmic Trading, published by Packt
java-nio-server
A Java NIO Server using non-blocking IO all the way through.
SpringBootDemo
🍃SpringBoot系列Demo；SpringBoot、MyBatis、Redis、MySql、Kafka、RocketMQ
spring5webapp
Example Spring 5 Web Application
Credit-card-approval-prediction-classification
Credit risk analysis for credit card applicants
SpringBatch-DataMigration
SpringBatch数据迁移项目（企业级）-实时更新
database-ddl-transfer
A tool to transfer DDL between different database, including Mysql、PostgreSQL、Oracle、Hive and so on.这是一款实现不同数据库之间表结构（DDL）自动转换的工具，包括：Mysql、PostgreSQL、Oracle、Hive等等。项目正在持续完善中，如果有幸能够帮助大家解决一些实际的问题，那就再好不过了！ 开源不易，希望大家能点一点小星星，感谢！！！⭐⭐⭐⭐⭐
CharlieWebDemo
Build a web project demo of SpringMVC and Mybatis by using IDEA with maven.
Stock-Market-Analysis-With-Python
Performing the Financial Analysis on Historic Stock Market Data such as calculating various risks, returns,etc.
apache-beam-explained
Source code for the YouTube video, Apache Beam Explained in 12 Minutes
Stock-Risk-Analysis
Financial risk analysis on a stocks portfolio through the VaR (Value at Risk), using Monte Carlo Simulation and Multiple Linear Regression.
Sharpe-LSTM-Investment-Model
The research provides effective management strategies for different asset portfolios in the financial sector by building models. The VMD-LSTM-PSO model is developed for daily financial market price forecasting, where the time series are decomposed by VMD and the sub-series are used as LSTM input units to carry out forecasting, and then the network parameters are adjusted by PSO to improve the forecasting accuracy, and the Huber-loss of the model is 1.0481e-04. For the daily portfolio strategy, EEG is used to construct a system of investment risk indicators, which is optimized by incorporating the risk indicators into the Sharpe index, and the objective function is analyzed by using GA to derive the optimal daily asset share that maximizes the investor's return with minimal risk. The results of the empirical analysis show that the model provides strategies with good robustness.