Category: Investing

Nurp articles related to investing, strategic wealth growth, and investing with trading algorithms.

Understanding Gold Trading: 5 Key Metrics That Influence Gold Prices in 2026

Gold trading is the practice of buying and selling gold through physical, paper, or derivative instruments to profit from changes in the price of gold. The price of gold is shaped primarily by five measurable forces: the US dollar, real interest rates, inflation expectations, central bank reserve activity, and geopolitical or macro risk. Together, these […]

Top Quantitative Trading Career Paths in 2026

The top quant trading career paths span hedge funds, proprietary trading firms, market makers, asset managers, and increasingly algorithmic trading software vendors. Quantitative trading careers offer some of the most intellectually demanding and financially rewarding work in finance, but the competition is intense, the talent bar is high, and the operational realities differ significantly across […]

Quant Trading Platform Features: A Complete Evaluation Guide

A modern quant trading platform combines data infrastructure, research tools, backtesting engines, execution systems, and risk management into a single coherent environment. The features that distinguish serious quant trading platforms from casual tools are unglamorous but decisive: clean point-in-time data, walk-forward backtesting, configurable risk controls, multi-venue execution, and live monitoring. This guide walks through the […]

Hidden Risks of Copy Trading vs Algorithmic Trading: What They Don’t Tell You

The hidden risks of copy trading are systemic and structural, and most copy trading platforms underdisclose them. Copy trading, the service that automatically replicates the trades of a chosen signal provider into a follower’s account, is marketed as a simple way for novice traders to participate in markets without building strategy expertise themselves. The marketing […]

The Ultimate Guide to Institutional Quant Trading Platforms

Institutional trading platforms are the integrated systems that hedge funds, asset managers, prop trading firms, and banks use to execute, monitor, and manage their trading operations. They differ structurally from retail trading platforms in scale, integration depth, regulatory features, and the nature of the relationships they support with brokers and exchanges. Understanding institutional trading platforms […]

Medallion Fund Quant Trading Software: Inside the Top System

The Medallion Fund of Renaissance Technologies operates the most successful quantitative trading software in the history of finance, with reported annualized returns of approximately 66 percent before fees and 39 percent after fees over multi-decade periods. The software and methodology behind Medallion’s record have shaped how the entire industry thinks about quantitative trading, but the […]

ChatGPT for Stock Trading: Can It Support Automated Trading or Not?

Key Takeaways Why Automated Trading Still Needs Human Oversight New technologies often pop up in stock trading, claiming to revolutionize the game and give traders an edge. With the rise of AI-powered tools like ChatGPT, many are wondering: Can ChatGPT be a useful tool for stock trading, or is it just a fantasy? Read More: […]

Quantitative Trading in 2026: Is It a Better Alternative to Picking Stocks?

best stocks to invest in 2025

Why Quantitative Trading Is Changing How Investors Approach Stocks in 2026 As investors search for the best stocks to invest in 2025, the financial landscape is more unpredictable than ever. Economic cycles, interest rates, and geopolitical events continue to shape stock market performance, making stock selection increasingly complex. While some traders rely on fundamental and […]

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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.