Csongor Pall / 프로필
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8+ 년도
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2
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82
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구독자
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April 23, 2014 was the day I made my first deposit with a broker. Back then, I knew very little about trading — and even less about trading robots.
Over the years that followed, I steadily built up my knowledge. In the early days, my main focus was the work of Paul Coghlan and the Andrews' Pitchfork methodology, but along the way I became familiar with the vast majority of trading strategies and indicators.
I've experimented with virtually every major market — Forex, futures, options, bonds, indices, and cryptocurrencies.
After purchasing several robots from online marketplaces, I came to a simple realization: none of them truly matched my needs or solved the actual challenges I faced. So I decided to build my own. In 2018, I completed my first fully functional trading robot.
My perspective has changed a great deal since those early days. I see the markets very differently now. There is no "holy grail" in trading. Martingale strategies can be exciting — and in some cases refined and optimized into something genuinely interesting — but they are not a long-term solution.
My objective today is far more realistic: developing a swarm of Expert Advisors that work together at the portfolio level.
My Background
By profession, I've spent the better part of a decade helping large, high-stakes organisations avoid costly mistakes. My career has taken me through Trust & Safety at YouTube, Quality Assurance at TikTok, KYC/AML consulting at J.P. Morgan, and my current role as QA Auditor/Validator at TELUS Digital, on assignment at Meta, working across enforcement, compliance, and multi-tier decision validation including LLMs.
The common thread across all of these roles? Building frameworks for identifying what's working, what isn't, and why — in environments where getting it wrong has real consequences. Every one of these positions has taught me skills I now apply directly to building trading robots: disciplined quality assurance, rigorous validation processes, risk assessment, policy and rule-based decision-making, and the patience to analyse enormous amounts of data before making a call. It turns out that's an exceptionally useful toolkit for designing automated trading systems.
On the financial side, I hold a Certificate in Business for Financial Services from Dublin Business School and a Diploma in Investment Operations and Compliance from Griffith College Dublin, covering financial markets, securities operations, AML frameworks, and investment ethics.
Hobbies
Beyond algorithmic trading, I'm a PADI rescue diver and a licensed drone pilot. I've walked the Camino de Santiago — completing the 120-kilometre stretch from Ponferrada to Palas de Rei, with 80 kilometres remaining to Santiago de Compostela. The pilgrimage mirrors much of what drives my work: discipline, patience, and a focus on the long journey. In 2026, I graduated as a mycologist and now run my own mushroom lab and growing operation.
I cultivate gourmet and medicinal varieties — Lion's Mane, Shiitake, King Oyster, and others — applying rigorous attention to detail and process optimization to every stage of cultivation.
HedgeMasterSlave is a fully automated Expert Advisor for MetaTrader 5 that trades correlated currency pairs simultaneously one as the master, one as the slave using a hedge structure that reduces directional risk compared to single-pair martingale systems. Correlated pair hedging Margin Decay Engine to combat martingale. per-pair correlation filtering. The result is a system that survived the most volatile forex event in recent history the March 2020 COVID crash without a margin call
친절한 Pocket Rocket 트레이딩 로봇을 만나보세요! 스토리 저는 2018년에 이 로봇의 첫 번째 버전을 개인적인 도전으로 만들었습니다: 마틴게일 기반 전략을 몇 년 동안 성공적으로 운용할 수 있을까요? 시간이 지나면서 제 친구들이 더 사용자 친화적인 버전을 만들도록 격려했고, 그로 인해 로봇을 개선하고 최적화하여 접근성과 효율성을 높이는 영감을 받았습니다. Pocket Rocket 로봇은 초보자나 거래에 완전히 새로운 사람들에게 완벽합니다. 매우 쉽게 사용할 수 있도록 설계되었습니다. 왜 Pocket Rocket을 선택해야 할까요? 사용자 친화적: 복잡한 설정 과정이나 테스트 없이, 그냥 드래그하고, 설정을 입력하고 (스크린샷 참조) 거래를 시작하세요. 저렴한 가격: 100달러로 거래를 시작할 수 있습니다. 입증된 성능: 2020년부터 GBP/USD 및 AUD/USD 쌍에서 성공적으로 백테스트되었습니다. 확장성: 소규모 및 대규모 계정에 유연하게 대응하며, 예치금 수준과

