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Global financial markets are entering a new era of digital transformation, one in which data-driven analysis and algorithmic trading are no longer optional tools but core elements of modern investing.

The market continues to do as it pleases while you sit in front of your trading screen with coffee in one hand and hope in the other. The market continues to do as it pleases while you sit in front of ...

The formal entry of XRP algorithmic trading into the US bond and retirement financial system is seen as a significant milestone in the move towards compliant and systematic investment in crypto assets ...

Markets move fast. And when it comes to crypto, they never stop. Investors use automated systems to keep up with the fact that digital assets trade all the time. Once limited to Wall Street, ...

A comprehensive, production-ready algorithmic trading system built with modern Python frameworks. This system implements advanced machine learning models, realistic backtesting, and comprehensive risk ...

PyMAC is an extensible, production-ready algorithmic trading framework designed for the Moomoo platform. The architecture ensures that the same strategy code runs for both 10-year historical backtests ...

Algorithmic trading is no longer the exclusive domain of niche quantitative firms—it has become the backbone of modern financial markets. I am already seeing the significant impact AI-driven ...

Algorithmic trading evolved for decades, but Web3 turns it into something entirely new. See how in this op-ed. Algorithmic trading did not begin with complex AI models or high-frequency systems. Its ...

Quantitative trading relies on a data-driven approach using mathematical models to analyze market behavior. Instead of relying on instinct or opinion, it uses measurable signals based on statistics ...

The article considers one of the most famous examples of socio-economic systems characterized by significant uncertainty—the S&P-500 stock market, where shares of 500 largest US companies are traded.