How to Keep Your Cool During Market Madness

Volatility is inevitable. Panic isn’t.
This visual, action-oriented guide helps traders stay calm, think clearly, and make smart moves — even when the market turns chaotic. Whether you’re in forex trading, crypto markets, or using a trading algorithm, knowing how to manage emotions is key to long-term success.


What You’ll Learn:

  • What market volatility really means — and why it happens

  • How professional traders respond during sharp price swings

  • Practical mindset shifts to avoid impulsive decisions

  • Tips to build confidence in your algorithmic trading strategy

  • How to use risk management as your psychological safety net

  • Why automation, like a machine learning trading bot, can reduce emotional bias


Who This Is For:

  • Traders overwhelmed by volatile markets

  • New investors unsure how to react during price drops

  • Users of forex bots or crypto trading bots who want to stay confident in their system

  • Anyone building resilience in their alternative investments journey


Why It Matters:

Markets will move. The question is — will you move with purpose, or react out of fear? Learn how to manage your mindset so volatility becomes an opportunity, not a threat.


Download How to Keep Your Cool During Market Madness
Trade smarter, stay steadier, and turn chaos into strategy.

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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.