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My Trading Journey

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.
Csongor Pall Hat ein Produkt angeboten

Markov-Regime – Hausse / Baisse / Seitwärtsbewegung Das Markov-Regime ist ein schlanker Indikator für den Marktzustand, der auf jedem Chart eine Frage beantwortet: In welchem Regime befinden wir uns, wie beständig ist es und wie sieht das langfristige Gleichgewicht zwischen Hausse, Baisse und Seitwärtsbewegung aus? Es klassifiziert jeden Balken, färbt den Kurs je nach Regime ein und zeigt eine Live-3×3-Übergangsmatrix sowie die langfristige (stationäre) Verteilung direkt in Ihrem Chart an

Csongor Pall Hat ein Produkt angeboten

HedgeMasterSlave ist ein vollautomatischer Expert Advisor für MetaTrader 5, der korrelierte Währungspaare gleichzeitig handelt – eines als Master, eines als Slave –, wobei eine Absicherungsstruktur zum Einsatz kommt, die das Richtungsrisiko im Vergleich zu Martingale-Systemen mit nur einem Währungspaar reduziert. Hedging korrelierter Paare mit Margin Decay Engine zur Bekämpfung des Martingale-Effekts. Korrelationsfilterung pro Paar. Das Ergebnis ist ein System, das das volatilste Forex-Ereignis

Csongor Pall
Csongor Pall
Successfully developed four robotic systems over recent years and months.Deployed one robot into live operations in January 2025.Advancing the remaining three through active testing phases.
Csongor Pall Hat ein MetaTrader 5 Signal veröffentlicht
"Yessumpepe" nicht verfügbar
Csongor Pall
Csongor Pall 2026.06.08
coming soon
Csongor Pall
Csongor Pall
The Pocket Rocket is going to back on marketplace soon. More info on the dedicated website www.myfuturefund.app
Csongor Pall
Csongor Pall
Hi friends, take a look at my new EA and give it a test run! :) Any feedback or comments would be greatly appreciated. Thank you! https://www.mql5.com/en/market/product/130318?source=Site+Profile#
Csongor Pall Hat ein Produkt angeboten

Lernen Sie den freundlichen Pocket Rocket Trading-Roboter kennen! Die Geschichte Ich habe die erste Version dieses Roboters im Jahr 2018 als persönliche Herausforderung erstellt: Könnte ich eine auf Martingale basierende Strategie über mehrere Jahre hinweg erfolgreich ausführen? Im Laufe der Zeit ermutigten mich meine Freunde, eine benutzerfreundlichere Version zu erstellen, was mich dazu inspirierte, den Roboter zu verfeinern und zu optimieren, um ihn zugänglicher und effizienter zu machen. Der

Csongor Pall
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