Stock Prediction with XGBoost: A Technical Indicators' approach
☆31Jan 27, 2019Updated 7 years ago
Alternatives and similar repositories for Stock-prediction-XGBoost
Users that are interested in Stock-prediction-XGBoost are comparing it to the libraries listed below
Sorting:
- Order Book Imbalance trading strategy☆11Nov 21, 2022Updated 3 years ago
- Use machine learning to trade bitcoin.☆10Jun 10, 2021Updated 4 years ago
- Study of price volume data to analyze an order imbalance strategy for Bitcoin on BitMEX platform☆12Dec 31, 2018Updated 7 years ago
- wondertrader项目源码☆12Mar 22, 2022Updated 3 years ago
- 基于一个马尔可夫链的股票预测模型☆13Sep 29, 2020Updated 5 years ago
- ctpbee里面实现的指标库, 能让你快速实现指标的计算和 拿到值☆15Aug 31, 2020Updated 5 years ago
- tick价差套利(参考vnpy网友资料、vnpy论坛资料、windquant): 1、按被动腿时间戳对齐 2、profile函数展示(需要py3) 3、平稳性检验 4、对冲手数计算 5、2sigma开仓,3sigma止损(或者赌价差扩散?)6、连续止损后cool down一…☆14Nov 2, 2019Updated 6 years ago
- 用SVM构建高频交易策略☆13Oct 21, 2019Updated 6 years ago
- 【Framework】A Multi Factor Strategy based on XGboost, its my homework project in Tsinghua, the Introduction to Quantitative Finance, 2019 …☆17Dec 17, 2022Updated 3 years ago
- ☆15Jun 10, 2020Updated 5 years ago
- This project uses XGBoost and LSTM to forecast stock market performance.☆20Jan 24, 2021Updated 5 years ago
- python code for xgboost(train, predict, evaluate)☆26Sep 30, 2018Updated 7 years ago
- 网格交易☆19Apr 18, 2018Updated 7 years ago
- Python package for simulating Intra-day orderflow in a limit order book. Uses PyLOB (https://github.com/ab24v07/PyLOB)☆17May 21, 2013Updated 12 years ago
- 结合深度学习的期货程序化交易系统☆19Aug 5, 2017Updated 8 years ago
- Trading Algorithm by XGBoost☆71Nov 30, 2018Updated 7 years ago
- This is the final project of Statistical Arbitrage course and it aims to apply pairs trading in high frequency data to realize auto-tradi…☆19Oct 26, 2018Updated 7 years ago
- 基于Qt封装期货CTP接口☆21Aug 2, 2017Updated 8 years ago
- Quantitative analysis of fundamentals in quarterly reports by Machine Learning☆23Feb 14, 2020Updated 6 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Jun 25, 2018Updated 7 years ago
- 系统性风险指标计算☆10Apr 20, 2020Updated 5 years ago
- portfolio-backtest is a python library for backtest portfolio asset allocation on Python 3.7 and above.☆30Apr 21, 2021Updated 4 years ago
- 机器学习预测系统汇总:包括贝叶斯网络、马尔科夫模型、线性回归、岭回归、多项式回归、决策树回归、深度神经网络预测☆91Jun 28, 2020Updated 5 years ago
- "High Frequency" style trading algo based on the Dempster-Shafer fusion theory in C# using the Interactive Brokers API.☆34Apr 27, 2019Updated 6 years ago
- ☆11Oct 24, 2025Updated 4 months ago
- 时间序列建模、混沌时间序列预测☆10Apr 24, 2023Updated 2 years ago
- A industrial high-performance High Frequency Trading System by C++11, support CTP, Femas and so on. 基于C++11开发的量化交易平台,可实现CTP、飞马等平台的高频交易策…☆82May 31, 2020Updated 5 years ago
- WonderTrader学习笔记☆41Dec 8, 2022Updated 3 years ago
- This project studies the intrinsic relationship between the stocks’ multiple factors and the investment value of the stocks listed in Chi…☆92Jul 1, 2021Updated 4 years ago
- 基于adaboost的SVM预测股票价格☆11Mar 4, 2018Updated 8 years ago
- trading-agent☆37Dec 8, 2022Updated 3 years ago
- 本课题完成了对5日均线涨跌的预测,运用支持向量机与逻辑回归的机器学习方法☆10May 10, 2017Updated 8 years ago
- Portfolio optimization and index tracking for the FTSE index using genetic algorithm☆12Jan 13, 2018Updated 8 years ago
- TÜBİTAK onaylı projede, ESP32'nin bluetooth modülü ile Flutter mobil uygulamasına sensörlerin ölçüm sonuçları gönderilmektedir.☆13Jun 19, 2022Updated 3 years ago
- 一款要求读者支付比特币后才能阅读的WordPress付费阅读插件。A wordpress plugin, reader should pay bitcoin for reading.☆10Jun 22, 2014Updated 11 years ago
- This is the time series forecasting models modified by xinze.zh.☆12Mar 10, 2023Updated 3 years ago
- The materials for the course 'Data Analysis in Economics and Finance', 2020/2021, NRU HSE.☆10Nov 25, 2021Updated 4 years ago
- 这是win下visual studio项目CTPtest-master(地址http://blog.csdn.net/u012234115/article/details/70195889) 的Linux实现;无GUI的量化交易平台;☆13May 1, 2017Updated 8 years ago
- 参数优化模块☆10Oct 21, 2019Updated 6 years ago