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OEA's Projects

a- icon a-

对A股市场2016年1月-2021.7月的4000只A股股票进行数据预处理和简单的多元线性回归尝试,建立初步的建模思路,最后通过JQ的线性回归回测工具确定因子和因子权重进行股票回测确定20只股票,此策略收益略低于沪深三百组合收益

adv_fin_ml_exercises icon adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

advanced-term-structures icon advanced-term-structures

Our project extends the classical models such as Vasicek and CIR to incorporate the effects of jump-risks in the market. We explore modern methods to price and calibrate such models and evaluate their pricing performance with respect to classical models and the observed market prices.

aeron icon aeron

Efficient reliable UDP unicast, UDP multicast, and IPC message transport

affine icon affine

Affine term structure modeling Python package. See LICENSE for terms of use.

ai-for-trading icon ai-for-trading

📈This repo contains detailed notes and multiple projects implemented in Python related to AI and Finance. Follow the blog here: https://purvasingh.medium.com

ai_quant_trade-stock icon ai_quant_trade-stock

股票AI操盘手:从学习、模拟到实盘,一站式平台。包含股票知识、策略实例、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等,可以方便学习、模拟及实盘交易

ai_stock_trading icon ai_stock_trading

Design pattern for critical stages in the development process of an AI Stock Trading Bot

anomaliesinoptions icon anomaliesinoptions

In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.

arbitrage_research icon arbitrage_research

Jupyter Notebook examples on how to use the ArbitrageLab - pairs trading - python library.

arbitragelab icon arbitragelab

ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algorithms from the best academic journals.

arctic icon arctic

High performance datastore for time series and tick data

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