Introduction
how to turn 5k into 100k trading small cap gappers is the focus of this case study Q&A with Evan Shunk. I’ve traded over five years, leaning heavily on data and near-systematic execution. In first person, I walk through my background, how I analyze giant gap ups, why predefined rules matter, how I handle drawdowns, and what I learned from brutal short squeezes and cycles in gappers.
Trader Talks QnA
If you had to start in 2024 with $5,000, how would you begin?
I would still start the same way: find a foundational education. You need a reliable chat room that’s trustworthy and gives a good trading education foundation. Someone to open the door, teach basics, give training wheels. Then find where good traders are looking—like big gap ups—and study that pattern.
How do you choose a good chat room?
I Googled and tried multiple good rooms. First was Tim Sykes’ room—Tim Grittani and Ducks were in there. Then Investors Underground—Nate gives a lot of value. I joined Roland and Ducks’ room, then Verma’s room. I’ve been in five different rooms and spent about $122,000 on education. As I became profitable, I kept them for alerts and watchlists, then eventually stopped paying when I was fine on my own.
How do you find a mentor or community?
Don’t stop at one room. Try multiple because styles differ. Build a small, tight team. I worked with my brother—we analyzed the same data and found different edges. A team helps you grow. Find someone to bounce edges and ideas with.
What pattern do you trade and how do you put your edge on paper?
I focus on giant gap ups. Start with price data—open, high, low, close—then check market cap and float. Cross-reference variables because they change success rates. Test entries and exits—start simple with open-to-close to see directional edge. Giant gap ups often close below open, but one can wipe you out, so you must define where it’s gone too far and cut losses. Add variables: news, moving averages (like 100 SMA), Fibonacci. Build a large sample (e.g., 300 gappers ≥50%) and test how market cap or float affects win rate.
Where do you get data to build the sample?
Use third-party platforms: Spikeet, Flash Research. You can pull a lot of data and test. I may open something up in the future, but I’m not there yet.
After you find edge on paper, what’s next—and what should you expect?
Put some money behind it. Expect emotional volatility and drawdowns—every system has them. You can design a smoother system by risking less, but you’ll give up profit. Patterns can fail mid-year or after a couple of years, so you need a plan for when that happens.
How do you handle pattern failure or unusual drawdowns?
Three ways: 1) Test history for the largest drawdown. If the current drawdown hasn’t exceeded that, it’s normal. If it exceeds, you’re in new waters—take a wait-and-see approach and reduce risk. 2) Test the pattern’s profit equity curve. 3) If the pattern’s profit curve falls below its moving average, that’s a red flag—pause until it’s back above. I may add some discretion and downsize when it’s acting up.
What must be systematized for a new trader aiming to be systematic?
Predefined rules: entries, exits, and stop losses. Everything is predefined before the trade. All the work happens when the market’s closed. Do the same trade every time—at year-end, that’s how you get profitable.
What’s your risk per trade?
If I start with a $60k bankroll, I’ll risk 20–25% per trade on my best pattern. Other patterns might be ~12.5%. People think that’s crazy, but it depends on the success rate and knowing your numbers—plus executing the same way every time.
Does a robot beat your discretion?
On paper, the system looks better—usually. Last year might have been the first time I beat my system, but that’s not normal. I account for slippage and borrows with a ~5% decrease per trade in testing to get realistic expectations. I still break rules sometimes—that’s why I’m considering an algo for some patterns.
What’s been the challenge in moving to an algo?
I don’t code. My buddy Calvin trades and codes, so communication is easy. It’s a lot of work for him to build the algo, but we speak the same trading language.
Do you and your brother trade the same way?
We trade about 90% the same. Differences: he’s more willing to include gray areas (e.g., gap 49.99% vs 50% rule) and may trade smaller floats. I draw a hard line. He can be more robotic. Risk tolerance is similar—he may have a bit more.
Can a new trader become profitable in six months?
Highly doubt it. Very rare. You’ll probably lose money and feel wrecked. There are rare cases like Ducks who got profitable in less than a year, but that’s not common. Respect how hard this game is—people come and go, even consistent pros can disappear.
Have you disrespected the market and paid for it?
I disrespected twice and got insanely lucky twice. In 2020 on ACY, I was short ~2k shares around $11. It ran toward $35–$40. I was down ~$50k at a halt top. I could’ve cut at 15, 20, 25, 30—didn’t. Got saved by pending news; it crashed to ~14. I exited fast for a ~$5–6k loss and walked away. It was terrifying. It’ll probably happen to you if you short—deer-in-headlights at least once. The second time I respected my stop with a market order—no wiggle room.
Are edges eroding with more data tools like Flash Research and Spikeet?
Not sure. Some swear they are. Short side is crowded. Some patterns are timeless—big gappers still work but go through cycles and can get more volatile. For example, the worst historical drawdown for big gappers (on paper) was in November–December. Then in early January, everything tanked for two weeks. Many probably stopped playing them right before they worked again. Protect your edge if it’s special.
How did you handle the November–December cycle in big gappers?
I stick through cycles, but I avoided a few max losses because several were under 1M float and I refuse to trade those. Another one had an inaccurate float—called 30M, but it traded like air. I overrode my system, didn’t trade it. I also discretionarily exited another before high-of-day because I wanted to conserve profits at year-end. I avoided three or four max losses that way.
You keep saying “max loss”—what do you mean exactly?
If I’m forced to exit at my predefined stop, that’s a max loss—the maximum I’m willing to lose on that trade that day. Sometimes I take half a max; it varies. But if it hits my stop, that’s my max loss by definition.
Evan Shunk Trade Statistics
Below are distilled facts from my approach to giant gap ups and risk. While exact counts vary by year, the bullets summarize how I think about execution, drawdowns, and risk budgeting across patterns.
- Primary edge: Giant gap ups in small caps, tested with open-to-close and multi-variable filters (float, market cap, news).
- Risk per trade on best pattern: ~20–25% of ~$60k bankroll; other patterns ~12.5%.
- System-first approach with predefined entries, exits, and stops; discretion used during abnormal pattern behavior.
- Cycle-aware: avoid sub-1M floats; pause/resize when pattern equity curve dips below its moving average.
| Statistic | Detail |
|---|---|
| Primary Pattern | Giant Gap Ups (Small Caps) |
| Risk Per Trade (best pattern) | 20–25% of bankroll |
| Key Filters | Float, Market Cap, News, 100 SMA |
| Data Tools | Spikeet, Flash Research |
Key Trading Insights from Evan Shunk
Focus on time consistency in testing, respect stops without wiggle room, and expect cycles and emotional drawdowns in gappers. System rules first, discretion only when needed.
- Test across multiple years; avoid single-year edges.
- Define “gone too far” levels before entry; cut ruthlessly.
- Use the pattern’s equity curve vs. its moving average to decide pauses.
- Avoid sub-1M float to reduce slippage/halts and blowup risk.
Evan Shunk Trading Strategy
I systematize giant gap ups with predefined rules, filtering by float and market cap, and testing open-to-close tendencies. I cross-reference variables like news and moving averages to refine entries and stop placement.
Giant Gap Ups (Open-to-Close Edge)
Build a large sample of ≥50% gappers. Test open-to-close to confirm directional edge (often below open). Add constraints: exclude sub-1M float, cap float/market cap ranges, and incorporate news and 100 SMA. Define stop levels where a move has gone too far. Size larger on the highest-confidence variant of the pattern.
Evan Shunk Tools
I rely on third-party data tools and community resources to build and validate my system, then execute with predefined rules. Platforms also help with alerts and watchlists.
- Spikeet for historical pattern data testing
- Flash Research for research and cross-referencing
- Investors Underground, Tim Sykes, Roland & Ducks rooms for foundation and alerts
- Moving averages (e.g., 100 SMA) and float/market cap screens
Common Trading Mistakes to Avoid
Biggest pitfalls are ignoring stops, underestimating cycles in gappers, and trading ultra-low float names. My ACY short squeeze story shows how fast things can escalate when you refuse to cut.
- Not respecting predefined stops—use market orders when necessary.
- Overtrading sub-1M float tickers prone to halts and air moves.
- Assuming a pattern will always work—watch equity curve moving averages.
- Underestimating slippage and borrow costs—haircut backtests by ~5% per trade.
Conclusion
To pursue how to turn 5k into 100k trading small cap gappers, build a foundation, test giant gap ups over years, define stops and entries before the trade, and respect cycles. If this helped, drop a comment or join our newsletter to get more data-driven case studies.