Csongor Pall / プロファイル
- 情報
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8+ 年
経験
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2
製品
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82
デモバージョン
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0
ジョブ
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0
シグナル
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0
購読者
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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
フレンドリーな Pocket Rocket 取引ロボットに会いましょう! 物語 私は2018年にこのロボットの最初のバージョンを個人的な挑戦として作成しました:マーチンゲール戦略を数年間うまく運用できるだろうか? 時間が経つにつれて、友人たちにもっと使いやすいバージョンを作るように勧められ、これがロボットを改良し、効率とアクセスの向上を目指すインスピレーションになりました。Pocket Rocketロボットは、初心者や全く取引をしたことがない人々にとって完璧です。使いやすさを重視して設計されています。 なぜPocket Rocketを選ぶのか? ユーザーフレンドリー:複雑な設定プロセスやテストはなく、ドラッグして設定を入力(スクリーンショット参照)し、取引を開始するだけです。 手頃な価格:わずか100ドルで取引を始められます。 実績のあるパフォーマンス:2020年からGBP/USDおよびAUD/USDペアで成功裏にバックテストされています。 拡張性:小規模・大規模アカウントに柔軟に対応し、デポジットレベルとロットサイズに関する明確なガイドラインがあります。

