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 ...

Every investor has a moment when a brilliant idea pops into their head and they’re suddenly convinced they’ve cracked the market’s secret code. But ideas are cheap, and markets are not, so the real ...

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, ...

Veles introduces updated and more accurate strategy testing tools, marking a significant enhancement to its technological ecosystem for traders and algorithmic strategies. The platform has enhanced ...

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!

The new integrated toolkit enables traders to historically validate strategies within specific market regimes, a capability once reserved for elite institutions AI-powered backtesting engine brings ...

There's a lot of variation within each group. The top 5% of earners, for example, bring in $295,000 or more per year. That's nearly 10x what someone in the lowest quintile earns annually. It's also ...

A sophisticated, production-ready AI trading bot that combines cutting-edge machine learning models with advanced trading strategies. Built with Lumibot framework for institutional-grade paper trading ...

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 ...

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 ...