Inside the Mind of an Aggressive Quant Trader: A Conversation with LeeHyunJun
Crypto rewards traders who can read structure, size with conviction, and stay disciplined under stress. Few traders embody that mix as clearly as LeeHyunJun, a 28-year-old quant-driven futures specialist whose approach is built on data, strict risk rules, and an unapologetically aggressive mandate.
LeeHyunJun trades with one goal in mind: grow capital fast while he’s still in “building mode.” His style reflects that ambition. He trades BTC and ETH with mechanical setups, fades extremes, scales with signal strength, and treats risk controls like hard rails. The result is a framework that pushes for high growth without slipping into chaos.
For traders who want to understand how a high-pace quant mindset works, or who want to follow that style directly through Flipster’s upcoming Copy Trading feature, LeeHyunJun offers a rare look into the logic behind every position he puts on.
Below is our full conversation.
Q&A With LeeHyunJun
1. Introduce yourself. What kind of trader are you?
My name is LeeHyunJun, I’m 28, and I’m an aggressive, quant-driven futures trader. I have a clear long-term target, building my stack to around 10 million USD. Until I get there, I’m trading for maximum growth. Once the goal is reached, I’ll shift toward capital preservation and compounding, but right now I’m in full acceleration mode. I rely on data, probability, and strict rules to take calculated but bold bets.
2. When did you start taking trading seriously?
I first bought ETH during my military service in 2020. It ran hard, and that early win pulled me straight into the market. As I moved from spot to futures, I eventually gave back all my gains, and that loss flipped a switch. I didn’t want my story to end there, so I committed to studying the market and building real edge.
In university, I joined a blockchain club, but it wasn’t focused on actual investing. I helped form an investment team, started experimenting with quant-style approaches, and worked to systematize signals. That’s when I really became a trader, not just someone making directional bets.
3. How would you describe your trading style today?
I mainly trade BTC and ETH, sometimes SOL. I rarely chase breakouts. I look for spots where price has moved too far, too fast. If the market is stretched to the upside, I look for shorts; if it’s flushed too deeply, I look for longs.
“Too far” isn’t a vibe check. It’s based on data: RSI, basis, open interest, and how positioning is stacked. On BTC scalps, I’ll use higher leverage with mechanical targets, usually capturing a few hundred dollars of mean reversion. Everything is signal-driven.
I also maintain an active short-selling strategy on small-cap altcoins that are structurally or fundamentally overextended. Over the years, I’ve built a sizeable historical dataset on these names and developed backtested quant models to identify when they are likely to unwind. That combination of market experience and systematic testing has produced a reliable performance profile, and it’s a key part of the edge I bring to my followers on Flipster.
4. Do you use a checklist to time entries and exits?
Yes. My first priority is controlling risk from the very first entry. My initial size is usually under 5-10% of equity. I only add when structure still supports my view.
The backbone of my trading is a custom indicator I built that blends RSI, basis, and OI into a single signal. It gives me both the setup and a confidence score. High confidence means I scale in and give the trade room. Low confidence means smaller size or passing altogether. Because I start small and scale only when the signal confirms, I avoid panic cuts and prevent liquidation scenarios.
5. How do you size positions?
Sizing is tied directly to signal strength. A typical idea ranges from 5–10% of total account size. When multiple data points align, I’m more willing to give the trade room with wider stops. When confidence is weak, I cut quickly, even if BTC only moves a few hundred dollars against me. Sizing and stops come from my quant framework, not from hope.
6. What’s the core risk management principle you live by?
I follow strict drawdown rules, similar to prop firms. If I lose around $100k in a day, I stop trading for the day and the next. If I draw down 10–20% overall, I cut risk sharply and step back.
No single trade is ever allowed to threaten the account. Once limits are hit, there’s no revenge trading. These are hard rules.
7. What should copy traders understand before following you?
The capital I trade in Flipster Copy Trading is only a portion of my stack, and I treat it as high-risk, high-reward capital. I trade aggressively and turn positions over quickly. My fee structure is favorable because I’m on one of the highest VIP tiers, so the strategy works efficiently in my environment.
Copy traders should recognize that this is not a conservative approach. It’s a fast, quant-based strategy designed to exploit volatility.
8. What type of investor is best suited to copy you?
Anyone comfortable with short-term volatility and aggressive risk-taking. Futures is a field where most lose and only a few extract alpha consistently. If you need a calm, low-volatility strategy, I’m not the right trader.
If you value probabilistic thinking and accept that drawdowns can happen on the way to potential upside, my style may align with you. Because I trade frequently, fees matter. Users with lower trading fees (higher VIP tiers or fee discounts) will see performance closer to mine.
9. What do you enjoy outside of trading?
Poker. I’ve been playing for more than 10 years. It’s like my side job. Poker taught me probability, bankroll management, and how to stay composed under pressure; all of which feed directly into trading.
10. Is there something about your personality that fits trading well?
Poker and trading share one core requirement: emotional control. I experience very little emotional swing from wins or losses. I act rationally and mechanically, always returning to expected value. That calm, systematic mindset is the foundation of my trading.
Closing Thoughts
LeeHyunJun’s edge comes from structure: quant signals, disciplined sizing, strict drawdown rules, and a willingness to press hard when conviction aligns. His approach is fast, data-heavy, and built for traders who understand the realities of futures markets.
Flipster’s Copy Trading feature (launching soon!) lets users follow traders like him directly. If you want exposure to a high-pace quantitative style, or simply want to watch how an aggressive trader reads the market in real time, LeeHyunJun offers a clear window into how a disciplined growth-mode operator works.
Trade at your own risk profile, study the logic, and learn from the process. Disclaimer: This material is for information purposes only and does not constitute financial advice. Flipster makes no recommendations or guarantees in respect of any digital asset, product, or service. Trading digital assets and digital asset derivatives comes with a significant risk of loss due to its high price volatility, and is not suitable for all investors. Please refer to our Terms.