AgentX transforms your ideas into executable strategies, eliminating black-box operations and making them reproducible.

Hognose Snake. Image by Frank Vassen, CC BY 2.0 https://creativecommons.org/licenses/by/2.0, via Wikimedia Commons. When most people think of snakes, they often ...

Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...

A production-ready Python-based algorithmic trading framework featuring advanced portfolio optimization, 15 benchmark strategies, multi-armed bandit allocation, and AWS Lambda deployment for automated ...

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!

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Abstract: A principal focus in fuzzy systems research is on maintaining good performance while providing strong explainability, principally by leveraging meaningful sets of human-accessible rules. In ...

This project implements a systematic trading strategy that rotates monthly between the S&P 500 ETF (SPY) and the Nasdaq-100 ETF (QQQ) based on their trailing 3-month performance. The goal is to ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

Any trader can build a strategy. The real challenge is proving that it works, not just once, but across different market environments, volatility conditions, and timeframes. That’s where backtesting ...

Backtesting is the process of applying a trading strategy to historical price data to see how it would have performed in the past. It allows traders to test their ideas and plans without using real ...