jevonchy Goto Github PK
Name: Jevon
Type: User
Name: Jevon
Type: User
Researched and generated multiple alpha factors. I formulated my portfolio optimization by working with constraints like risk models, leverage, market neutrality, and limits on factor exposures.
Established a Continuous Integration/Continuous Delivery (CI/CD) pipeline that deploys a Flask Machine Learning application using Azure Pipelines to Azure App Services.
Built a systemic application monitoring process based on alert triggers using MS Azure.
Wrote a Packer and Terraform template to deploy a customizable, scalable IaaS web server in MS Azure.
Constructed an OHLC data feed and a backtesting framework.
Built and evaluated a breakout signal running statistical tests to test for normality and to find an alpha.
Artesian application that help brewers brew their coffee by calculating the grams of water needed, and run a timer all on the same screen.
Created a model for the S&P 500 and its constituent stocks using semi-structured market data. I ranked and selected stocks to construct a long/short portfolio based on the prediction results.
A crêpe food delivery service iOS application built with SwiftUI to your door.
Built a deep neural network to process and interpret news data. Constructed and trained LSTM networks for classifying sentiments and ran backtests then apply the models to news data for signal generation.
An expense tracking iOS application built with SwiftUI.
Operationalized a fault-tolerant machine learning microservice API using AWS, Kubernetes, and Python/Flask.
Built a deep neural network (DNN) that functions as an end-to-end machine translation pipeline. The pipeline accepts english text as input and returns the French translation.
Built and optimized an Azure ML pipeline leveraging AutoML, hyperparameter tuning and a provided scikit-learn model.
Worked with corporate 10Q and 10K filings and applied NLP to generate company-specific sentiments. I used those sentiments to came up with trading strategies, and measured the performance of those strategies.
Created two portfolios using smart beta methodology and optimization. I evaluated the performance of the portfolios by calculating tracking errors.
I built a deep neural network that functions as part of an end-to-end automatic speech recognition (ASR) pipeline.
Implemented a momentum trading strategy and tested for profitability working with historical data of stocks generating a trading signal based on a momentum indicator.
WeSplit is an iOS payment spending calculator application built with SwiftUI.
A microblogging, social audio application owned by Boudicca, Inc.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.