Skip to content
Unsupervised-Learning-Trading-Strategy

Unsupervised-Learning-Trading-Strategy

this algorithm can help you develop a robust algorithmic trading strategy for the BTC/USDT cryptocurrency market by providing a framework for data collection

32
Built at Productathon AI Edition

Created on 4th February 2024

•

Unsupervised-Learning-Trading-Strategy

Unsupervised-Learning-Trading-Strategy

this algorithm can help you develop a robust algorithmic trading strategy for the BTC/USDT cryptocurrency market by providing a framework for data collection

Carousel Gallery Item: 1
Carousel Gallery Item: 2
Carousel Gallery Item: 3
Carousel Gallery Item: 4
Carousel Gallery Item: 5

The problem Unsupervised-Learning-Trading-Strategy solves

The algorithm is using Python libraries such as pandas, numpy, yfinance, matplotlib, statsmodels, and pypfopt to perform data manipulation, analysis, and visualization. The goal is to create a trading strategy that can automatically select stocks and form portfolios with the potential to outperform the market.

Tracks Applied (2)

Open Track

this project stands as a testament to the transformative power of generative AI in the realm of fashion design. As we co...Read More

Zelta Labs PS

this algorithm can help you develop a robust algorithmic trading strategy for the BTC/USDT cryptocurrency market by prov...Read More

Technologies used

TensorFlow

Python

Data Visualization

Discussion

Builders also viewed

See more projects on Devfolio