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

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. We can design neural network architectures with multiple outputs in time-series forecasting to forecast more extended periods. Models with one output return single-step forecasts. Models … Read more

Cluster Analysis with k-Means and Python

clustering k means python tutorial

Cluster analysis is an unsupervised machine learning technique that groups similar objects into clusters and separates them from different ones. In unsupervised learning, the model recognizes patterns and associations from the data without requiring a target variable. This technique is beneficial for distinguishing objects whose similarities and differences are unknown. … Read more

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

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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