xuezhou1998

xuezhou1998's Stars

• PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading

  Hands-On Machine Learning for Algorithmic Trading, published by Packt

  Language:Jupyter Notebook1.4k619

• grananqvist/Awesome-Quant-Machine-Learning-Trading

  Quant/Algorithm trading resources with an emphasis on Machine Learning

  2.6k550

• huseinzol05/Stock-Prediction-Models

  Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

  Language:Jupyter Notebook7.7k2.7k

• stefan-jansen/machine-learning-for-trading

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

  Language:Jupyter Notebook12.3k4k

• lewky/seckill

  SSM实战项目——Java高并发秒杀API，详细流程+学习笔记

  Language:Java632215

• xiaour/SpringBootDemo

  🍃SpringBoot系列Demo；SpringBoot、MyBatis、Redis、MySql、Kafka、RocketMQ

  Language:Java772426

• jjenkov/java-nio-server

  A Java NIO Server using non-blocking IO all the way through.

  Language:Java918460

• songxinjianqwe/Chat

  Java NIO+多线程实现聊天室

  Language:Java756320

• itmrchen/SpringBatch-DataMigration

  SpringBatch数据迁移项目（企业级）-实时更新

  Language:Java11387

• mongobee/mongobee

  MongoDB data migration tool for Java

  Language:Java497165

• wgzhao/Addax

  Addax is a versatile open-source ETL tool that can seamlessly transfer data between various RDBMS and NoSQL databases, making it an ideal solution for data migration.

  Language:Java1.1k290

• ccaitox/CharlieWebDemo

  Build a web project demo of SpringMVC and Mybatis by using IDEA with maven.

  Language:Java4246

• Snailclimb/JavaGuide

  「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

  Language:Java145k45.4k

• crossoverJie/JCSprout

  👨‍🎓 Java Core Sprout : basic, concurrent, algorithm

  Language:Java27.1k7.1k

• springframeworkguru/spring5webapp

  Example Spring 5 Web Application

  Language:Java70818.1k

• lenve/JavaEETest

  Spring、SpringMVC、MyBatis、Spring Boot案例

  Language:Java3.4k2.8k

• semasuka/Credit-card-approval-prediction-classification

  Credit risk analysis for credit card applicants

  Language:Jupyter Notebook21881

• ctubio/Krypto-trading-bot

  Self-hosted crypto trading bot (automated high frequency market making) written in C++

  Language:C++3.3k816

• keyianpai/hft

  real high-frequency-trading system based on c++

  Language:C++43130

• ShashankNathani/High-Frequency-Trading-System-Design

  Language:C++73

• mhy12345/HighFrequencyTradingSystem

  Language:C++53

• gouwuwo/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！！！⭐⭐⭐⭐⭐

  Language:Java4430

• dtinit/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.

  Language:Java3.6k484

• datastacktv/apache-beam-explained

  Source code for the YouTube video, Apache Beam Explained in 12 Minutes

  Language:Python2014

• Ru-Yan/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.

  Language:Python16

• harsh14796/Stock-Market-Analysis-With-Python

  Performing the Financial Analysis on Historic Stock Market Data such as calculating various risks, returns,etc.

  Language:Jupyter Notebook217

• alaameloh/Stock-Risk-Analysis

  Financial risk analysis on a stocks portfolio through the VaR (Value at Risk), using Monte Carlo Simulation and Multiple Linear Regression.

  Language:Jupyter Notebook186

• Jack-Cherish/quantitative

  量化交易：python3

  Language:Python1.9k336

• je-suis-tm/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

  Language:Python5.5k1.1k

• paulperry/quant

  Quantitative Finance and Algorithmic Trading

  Language:Python31393