roeiba Goto Github PK

followers: 5.0 following: 12.0 repos: 32.0 gists: 0.0

Name: Roei Bar Aviv

Type: User

Company: Spring Software

Welcome to my profile! 🚀

I'm currently working on developing trading algorithms, execution platforms, and AI-based trading strategies. I am also interested in collaborating on new technologies related to data extraction, data mining, machine learning (ML), deep learning (DL), and artificial intelligence (AI).

🔭 I'm currently working on:

Trading algorithms
Role based strategies, including arbitrages, swaps, semi arbirtages, market making, liquidity providing etc.
Execution platforms
AI-based trading strategies

👯 I'm looking to collaborate on:

New technologies related to data extraction
Data mining
Machine learning (ML) and deep learning (DL)
Artificial intelligence (AI) ⚡ Fun fact: 90% of the world's data was created in the last 2 years. Feel free to browse my repositories and projects. Don't hesitate to reach out if you'd like to collaborate or have any questions! 🤝

Languages and Tools that I have knowledge of

My Github Status:

How to reach me:

If you have any queries or suggestions then you can contact me i will be happy to respond.

Roei Bar Aviv's Projects

ailive

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-chatgpt-prompts

This repo includes ChatGPT promt curation to use ChatGPT better.

backend-exercise

binance-official-api-docs

Official Documentation for the Binance APIs and Streams

bitcoin

Bitcoin Core integration/staging tree

ccxt

A JavaScript / Python / PHP cryptocurrency trading API with support for more than 120 bitcoin/altcoin exchanges

chatgpt

🤖 ChatGPT Desktop Application (Mac, Windows and Linux)

chatgpt-1

Reverse engineered ChatGPT API

code4reference

This repo has code which can be referred as example code. These code have been written for learning purpose.

fakeyou.py

flask

A microframework based on Werkzeug, Jinja2 and good intentions

go-ethereum

Official Go implementation of the Ethereum protocol

keras-applications

Reference implementations of popular deep learning models.

mailboxer

Server app for testing email delivery from services and appliances

pact

A Python library implementing a generic promises facility

plugins-quickstart

Get a ChatGPT plugin up and running in under 5 minutes!

pm-package-versions

Get an array of all available versions of a given a package manager (npm or yarn)

project-based-learning

Curated list of project-based tutorials

promptssdk

Experimental open-source Python library for GPT prompt engineers

robodist

roeiba

semantic-kernel

Integrate cutting-edge LLM technology quickly and easily into your apps

slash

The Slash testing infrastructure

spawn-pm-install

programmatically install a package manage dependencies (npm and yarn)

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.