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Retrieve real-time cryptocurrency data, and execute trading strategies. The code is written in Python and provides customizable options for trading strategies and risk management. Please note that it is important to understand the risks involved in cryptocurrency trading and to exercise caution when using automated trading bots.
In this project I reproduced the Mean-Variance Criterion used by the analysts. The program will generate all combinations by taking the desired assets and creating portfolios of the desired size.
The Epoch Builder is a cluster of machines designed to train and evaluate many Prediction Models. It also outputs an Epoch File that can be installed in Epoca's Platform.
Este repositório contém projetos e análises de Finanças Quantitativas, abrangendo desde modelagem de preços de ativos até otimização de portfólio. Utiliza-se Python para análise de dados, modelagem estatística e visualização.
Tradelyne is a web application developed on python using the streamlit library which aims to provide you with the tools necessary to make trading and investing much simpler. Using this web app you can enhance and optimize your investing skills and take advantage of every opportunity presented to you by the market.
An application developed using Tensorflow, Pytorch, Flask, Reactjs and other technologies which aims at providing knowledge about the financial markets and helps novice investors learn about what is going on in the Market which in turn aids them in taking informed decisions.
This is the repository where I store the programs and projects I've done for the Udacity AI for trading nanodegree. The repository is focusing primarily on two aspects of trading namely Quantitative trading and AI algorithms in trading.