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R4ndomW2lker's Projects

aioquant icon aioquant

Asynchronous event I/O driven quantitative trading framework.

algorithmictrading icon 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. Therefore, much of the analysis are correct and give an indication how these methods work.

algotrading-example icon algotrading-example

algorithmic trading backtest and optimization examples using order book imbalances. (bitcoin, cryptocurrency, bitmex, binance futures, market making)

alphasickle icon alphasickle

多因子指数增强策略/多因子全流程实现

axorderbook icon axorderbook

A股订单簿工具,使用逐笔行情进行订单簿重建、千档快照发布、各档委托队列展示等,包括python模型和FPGA HLS实现。

bulbea icon bulbea

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

deepdow icon deepdow

Portfolio optimization with deep learning.

eigenportfolios icon eigenportfolios

In this project, we will explore the usage of Principal Component Analysis to model market behavior within an industry. Furthermore, we will explore the interpretation of top eigenvectors as portfolios to create trading strategies.

hft icon hft

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

hftbacktest icon hftbacktest

high frequency trading backtesting tool of limit orders and its queue position with latency based on full trade/orderbook tick data

highfrequencytradingsvms icon highfrequencytradingsvms

This project implements a high frequency trading strategy that utilizes Support Vector Machines to capture statistical arbitrage in the pricing of Class A and Class C Google stocks.

jekyll-bootstrap icon jekyll-bootstrap

The quickest way to start and publish your Jekyll powered blog. 100% compatible with GitHub pages.

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