Clustering Financial Market Structures using Affinity Propagation in Python

visualizing crypto market structure, lasso regression, python, scikit-learn

Affinity propagation is an unsupervised clustering technique that stands out from other clustering approaches by its capacity to determine the number of clusters in a dataset. This tutorial demonstrates this capacity by applying the technique to analyze the crypto market structure. We perform a cluster analysis of historical prices of … Read more

Stock Market Prediction using Neural Networks for Multi-Output Regression in Python

multi-output neural networks time series regression

Neural networks can generate various outputs, which is especially useful in time-series forecasting to forecast longer periods. In time series regression, the number of neurons in the final output layer determines how many steps in a time series the model can predict. Models with one output return single-step forecasts. Models … Read more

Twitter Bot for Crypto Trading Signals using Python and Gate.io

algorithmic trading python tutorial signal bot

This tutorial develops a Twitter bot in Python that will generate automated trading signals. The bot will pull real-time price data on various cryptocurrencies (Bitcoin, Ethereum, Doge, etc.) from the crypto exchange Gate.io and analyze it using predefined rules. Every time the bot detects a relevant change in prices, it … Read more