John Mendez is an experienced quantitative trader, algorithmic trading specialist, and financial markets researcher. With a strong background in data science and machine learning, John has spent over a decade working with both institutional and retail traders, developing high-frequency trading strategies, risk management techniques, and portfolio optimization solutions.

John’s expertise lies in using advanced quantitative methods to unlock actionable insights in the financial markets. He is passionate about helping both new and experienced traders navigate the complexities of algorithmic trading. His work is focused on improving trading strategies, minimizing risk, and enhancing profitability through innovative data-driven approaches.

Throughout his career, John has contributed to various industry-leading publications and has spoken at several global trading conferences, sharing his knowledge on topics such as:

• Algorithmic Trading Strategies
• Quantitative Risk Management
• High-Frequency Trading (HFT)
• Blockchain and Cryptocurrency Trading
• Market Microstructure and Price Discovery

When not researching market trends or developing algorithms, John enjoys exploring the intersection of technology and finance, studying new blockchain advancements, and mentoring aspiring traders.