Press Release The Mevolaxy team continues to develop its own technology and introduce innovations into the mechanics of its MEV bot network. They recently unveiled a new algorithm called mevjrv12. Its key feature is a faster mempool scanning mechanism and more precise transaction processing within the network. Whereas the bot previously reacted to signals with a…
At the beginning of my trading journey, like many aspiring traders, I focused on trading one or a few individual instruments—stocks, futures, currency pairs. I chased trends, played bounces off local extremes, applied classic “buy low — sell high” strategies and mean-reversion techniques. But over time, I discovered that directional trading in a single asset…
Problem with Modern ApproachesModern methods for trading baskets of assets often rely on simple rules: go long the N best‑performing instruments, short the N worst‑performing ones (or vice versa), or just split capital equally among several currency pairs, stocks, or ETFs. At first glance, this seems to work—you diversify risk and don’t keep all your…
Introduction The Principal Component Analysis (PCA) method was originally developed for processing multidimensional data. In financial markets, it helps to uncover hidden factors that influence the movement of diverse assets and assess their interrelationships. Within the context of trading strategy development, PCA transforms sets of covariant signals—such as logarithmic returns—into a few independent (orthogonal) components…
How to Properly Specify the Order of Asset Symbols When Using the PCA Method Implemented in the PCA Arbitrage 3X EA Expert Advisor The Principal Component Analysis (PCA) method has long been recognized as a powerful tool for constructing market-neutral hedging strategies. It enables the analysis of the covariance structure of assets, isolates their contributions…
By Devi Priya Crypto arbitrage trading has drawn increasing attention from entrepreneurs and investors due to its high profitability and startup appeal. This strategy capitalizes on price discrepancies for the same cryptocurrency across different exchanges. For example, buying Bitcoin at $5,000 on Exchange A and selling it at $5,100 on Exchange B yields a $100…
