franquant Goto Github PK
Name: J. Francisco Salazar
Type: User
Bio: Quantitative and AI-driven Investment Strategies
Twitter: frasagui2014
Location: Bogotá, Colombia
Name: J. Francisco Salazar
Type: User
Bio: Quantitative and AI-driven Investment Strategies
Twitter: frasagui2014
Location: Bogotá, Colombia
This repository showcases the research and analysis conducted by J. Francisco Salazar, as featured at the prestigious 1st Artificial Intelligence in Finance Conference (AIIFC). The work presents a sophisticated exploration of forecasting asset returns, employing advanced methodologies in machine learning and artificial intelligence.
Github profile README
ML & DL based Investment Strategies for BTC using Technical Trading Indicators and On-Chain Data Analysis
Short term forecasting with support vector machines and application to stock price prediction
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.