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Florian Philippi

Florian Philippi

🇱🇺Luxembourg· Luxembourg

It always motivates me when someone is better than me because I'm thinking: I will be there soon.

Florian Philippi closed 2024 at +311% on an audited $20K-$1M Enhanced Growth account, third in the division behind Brandon Frenchak's +482.6% and Anindo Majumdar's +389.3%. The 2024 EG podium is the cleanest engineer-track-record case study USIC has produced in the modern era: three engineering-background traders, all on real-money smaller-account EG entries, all with audit numbers above +300%. Philippi was at the time the only non-US-native on the podium, trading through a year in New York City while keeping his day job as a data engineer.

The arc behind the audit started at 15, when he got hooked on trading through his father's library: the Market Wizards series, William O'Neil and Mark Minervini. He chose a Finance bachelor purely because of trading, kept coding on the side, joined Minervini Private Access in 2019, and by 2023 had saved enough capital to trade actively. The NVDA breakout from a textbook VCP in January 2024 was the trade that convinced him to enter USIC at all. After the championship year he quit the corporate path, moved back to Luxembourg in September 2025 and founded Dataraum, an AI platform that lets companies and AI agents understand their business data. The 2025 season delivered the counter-lesson: up +190-200% mid-year, he gave back to around +120% after staying at full size through a market change, and now trades by a new rule: reduce size even after a winning streak.

Philippi is active on LinkedIn, where the USIC result sits pinned in his Featured section, and reachable, which he proved by answering our full interview. For trading-tournaments.com his profile matters as the trading-as-second-career archetype: a data engineer with a verified +311% audit who still calls full-time trading his ultimate dream, even while building a startup in the middle of the AI wave.

Interview

What would you tell yourself at the moment you were boarding the plane from Germany to New York, knowing what you know now?

It was always a dream of mine living in NYC and I wanted to get out of my comfort zone in Luxembourg and have a change of scenery. I'd tell myself to not second guess my decision, trust my instincts more and sooner. That year (and my beautiful girlfriend) is actually what gave me the conviction to quit my corporate job afterward, to start my own thing rather than stay on the safe path. I moved back to Luxembourg last September with many good memories from my time in NYC.

You had a background in Finance and Computer Science. How did these two disciplines mix in your head: did you always know you would work at the intersection, or did it happen on its own?

As a teenager I was into gaming and computers, which eventually got me into coding. I love building things. When I was 15 I got hooked on trading after reading books from my dad's library, namely the Market Wizard books, Mark Minervini, William O'Neill and more. Then after high school instead of studying CS, I decided to study Finance for my Bachelor only because of my interest in trading. For my masters and then in my career I always enjoyed combining both worlds and working at the intersection.

When did you start trading? Was it a conscious decision, or did you just start and not notice how you got hooked?

When I was studying in my early 20's. I saved a couple of hundred Euros and started day trading the DAX index with CFDs. I studied a lot of charts and books over the years (William O'Neill and Mark Minervini's books + few classics) but it wasn't my focus. In 2019 I became a Minervini Private Access member and started trading a little bit, mostly watching the markets and learning. In 2023 I saved enough capital to start trading actively.

Which one trade in 2024 do you remember most vividly, the best or the worst, and why that one specifically?

I saw NVDA developing a perfect VCP in December '23 and it made me decide to participate in the USIC. I bought the breakout at the beginning of January and this first winner out of the gate gave me the confidence to do great that year. A similar one was TSLA in May/June, I didn't take any trades in the previous 3-4 months. I was waiting for the perfect setups and got aggressive on them.

You pinned the USIC result in your LinkedIn Featured section. Is that a conscious part of your public identity, or just a fact you like?

Both. It's an accomplishment I'm proud of.

What do you read or watch when you want to understand the market: sources, research, or do you build your own picture from raw data?

I look at the individual stocks and at a tons of charts. You get a sense where the market is at, where the money is going and what's currently working. However, in addition, as a MPA member you learn a lot from Mark Minervini's +40 year experience which I found particularly helpful to understand the markets in a broader way and how macro-economics impact the markets. It gives you a better feel on where the market is at. Additionally, in the last months I built my own AI-powered stock research tool that helps me automate the parts.

The biggest mistake you made as a trader. Not a number, what did you actually understand from it?

After a long winning streak, towards the end of 2025 the market changed and I started to give back a substantial part of my gains I made that year. I got complacent and I kept trading the same size instead of reducing. It has taught me new rules (e.g. reduce size even after a winning streak) and to always follow them religiously. What is always encouraging for me is hearing successful traders' advice because they went through the exact same things.

The biggest mistake you made as a founder. Not what happened, what did it change in your thinking?

I wouldn't say I made any drastic mistakes so far as it's still early but what I found is really important is talking and listening to potential customers early on to understand what they really need and want. Having an opinion on where the market is going without the validation of your idea and product has the risk to build in the wrong direction. Similar in trading, look at the individual stocks and don't let the indices dictate your trading.

If Dataraum takes off and generates real money, will you keep trading? Or is trading what you need right now while the startup is not paying yet?

I will always keep trading and it is my ultimate dream still to do it full-time eventually.

+311% in 2024. Name one moment when you almost gave back a significant portion of the result, what happened and what did you do?

Apart from 1-2 positions in December I shouldn't have taken, I was really disciplined and the market was great. However, the year after I was up +190-200% but ended the year at around +120%. This was the first time I suffered a significant set back and it crushed my confidence. I got sloppy and complacent. I'm still fighting my way back.

You closed the year in third. First place was +482%, second was +389%. Were you watching what they were doing? Did it motivate you or irritate you?

I was following the score board every month. It always motivates me when someone is better than me because I'm thinking "I will be there soon". I always liked competitions because it puts your skills to test and challenges you in a different way. You put yourself under pressure more.

Do you see yourself primarily as a trader, primarily as a founder, or is that a question that stumps you too?

It stumps me too haha. At the moment both.

If you had to choose one: shut the startup down and trade full time, or close the trading account and go fully into Dataraum, what would you choose?

Eventually trade full time. In trading, the level of freedom was always the most aspiring to me. On the other hand we are currently in the middle of this AI storm and for me it is the most exciting time to build.

What does it actually mean to "understand business data"? Walk me through a specific example, what problem did someone come to you with, and how did Dataraum solve it?

These days there are more and more companies, especially smaller/medium-sized, which are integrating AI into their businesses. In the coming months they want to use AI on their internal company data warehouses in a standardized, reliable way. Dataraum is the operational interface for AI agents and humans to understand from the data what is going on in the business, monitors the business 24/7, spots operational blockers or opportunities. Bottom line is, as a business leader or CXO using Dataraum, you have an AI that not just helps you to make decisions better and faster but also in a secure, reliable way.

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