Path to Forex Proficiency: Master Currency Markets with Confidence

Your complete roadmap to becoming a skilled forex trader.
Whether you’re just starting out or looking to sharpen your edge, this eBook delivers the practical tools, strategies, and risk management insights you need to thrive in today’s dynamic forex trading environment.

What’s Inside:

  • A step-by-step approach to understanding the forex market

  • Proven techniques for analyzing trading pairs and price action

  • Practical examples to help you apply concepts in real-time

  • Core principles of risk management in forex trading

  • Tips for developing consistency and discipline in your trades

  • How to complement your skills with algorithmic trading software

Who Should Read This:

  • Aspiring forex traders seeking structured guidance

  • Self-taught traders wanting to fill knowledge gaps

  • Investors looking to understand forex algo trading

  • Anyone using or evaluating a forex trading algorithm for performance and risk mitigation

Why It Matters:

Trading without structure is gambling. This guide helps you build a real foundation in forex trading, so you can make informed, strategic decisions — whether you’re trading manually or exploring machine learning trading tools and forex bots for algorithmic trading precision.

Download your copy of Path to Forex Proficiency today
Start developing the mindset, strategies, and systems of a professional trader.

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AI Quantitative
Researcher

Bingham Zhou

Bingham Zhou, CFA, has over 15 years of experience as a quantitative researcher. His expertise spans systematic equity strategies, CTA trend-following, and interest rate proprietary trading in both U.S. and Asian markets. He holds advanced degrees from MIT, Carnegie Mellon, and Yale.

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Quant–Investment Strategist
Greg doscher

Greg Doscher was a CFO for many years who built out many quantitative strategies and investment tools to manage and enhance risk adjusted returns in the company’s pension plan. Prior to joining Nurp, he consolidated his skills in coding and discretionary trading to develop a comprehensive and fully automated algorithmic trading system deployed across 200+ futures markets and cryptocurrencies that encompassed all of the trading strategies he had honed over the last 22 years in finance

Quant–Investment Strategist
Marcin Borratynski

Marcin was Head of Quant IT at the USD 4bn+ CERN Pension Fund, where he spent nearly a decade building quantitative asset allocation systems and implementing algorithmic investment strategies for a multi-asset institutional portfolio.Before joining Nurp Marcin was also Senior Quant Strategist at Evooq, a Swiss-based fund managing four strategies across equities, gold, and equity derivatives.Marcin holds a degree in Computer Science an MBA from the University of Geneva and the Certificate in Quantitative Finance (CQF).

Product Manager

Abhayjit Anand

Abhay has worked with Nurp since 2022. As a Product Strategist, he focuses on building, refining, and commercializing algorithmic trading strategies. He brings seven years of experience in financial trading – combining macro research, technical analysis, quantitative strategy development, and market psychology. Alongside his work at Nurp, Abhay also serves as an Investment Analyst at Orca Capital. Before entering financial markets professionally, he spent eight years at IBM, including three years in the AI & data division as a Delivery Lead managing complex implementation projects.