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wesley1001's Projects

amazon-dsstne icon amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

angular-form-gen icon angular-form-gen

Design Bootstrap based form schemas for AngularJS in a drag and drop WYSIWYG environment.

aoodss icon aoodss

这是一个微信订阅号的项目

app icon app

The whispeer mobile app. Ionic on iOS and Android. Probably even Windows Phone

app-1 icon app-1

Ionic/Cordova distribution of the MuSA mobile application

appreact icon appreact

'duo shou ji' APP based on react native

ari5123_assignment icon ari5123_assignment

Rule-based Algorithmic Trading using a Genetic Algorithm and Machine Learning Signals for the Cryptocurrency Market.

aria2-batch-downloader icon aria2-batch-downloader

Allows you to download files from HTTP file lists by single file or directory (with optional regex argument)

assemblies icon assemblies

A developer-focused Meetup clone built with React Native

atqf-workshop-2022- icon atqf-workshop-2022-

A 5-day workshop starting from April 25 2022 and covers topics from the basics of finance to coding a trading strategy in python. The goal of this workshop is to give the students hands-on experience in developing a trading strategy and deploying it live along with an introduction to quantitative research. We expect that after this workshop student

autotrader-1 icon autotrader-1

A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.

autoxd icon autoxd

A股回测框架, 模拟实盘账户交易, 适合编写T+0策略

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries and software

awesome-react-native icon awesome-react-native

An "awesome" type curated list of React Native components, news, tools, and learning material

awesome-trading-algorithm icon awesome-trading-algorithm

This algorithm takes a daily position on the SPY ETF by indirectly predicting the change in price through the put/call ratio. I do this by implementing machine learning techniques on Sofien Kaabar's put/call ratio trading strategy.

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