The Golden Age Of Trading Is Here thank you

Everything you need to know about gold trading — all in one place.
Gold has stood the test of time as a store of value, a hedge against inflation, and a key component of diversified portfolios.This eBook equips you with the knowledge and tools to confidently navigate the world of gold trading as part of your broader alternative investment strategy.

What You’ll Learn:

  • A historical overview of gold and its role in global markets

  • What makes gold a unique asset class

  • Key gold market fundamentals every trader should know

  • The impact of economic indicators on gold prices

  • How gold fits into algorithmic and machine learning-based trading systems

  • Practical insights for evaluating risk and opportunity

Ideal For:

  • Traders exploring precious metals for the first time

  • Investors looking to diversify through alternative investments

  • Users of algorithmic trading software who want to integrate gold into multi-asset strategies

  • Anyone researching safe-haven assets amid economic uncertainty

Download The Golden Age of Trading
Master the fundamentals, trends, and strategies of modern gold investing.

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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.