Dan Rogalski is 24. He works as a software engineer in Seattle. He got a math degree. In the last 18 months, he has made $600,000 trading election contracts on Kalshi and Polymarket. He now ranks 20th on Kalshi's election trader leaderboard.
He is not a hedge fund. He has no insider information. He has not been to Harvard. He read bad analysis online and decided he could do better.
Here's what Rogalski did differently from the 97% who lose money. Not the five things, not the ten rules. The one habit that explains everything.
What Rogalski actually said
In a CNN interview published September 24, Rogalski explained the trade thesis in one sentence: "I would see a lot of bad analysis online. So, I thought I could do better than these people."
That's the setup every retail trader has heard before. The twist is what came next. He didn't trust his own analysis either. He built a process to test it.
Every market he entered, he first wrote down his estimated probability. Then he looked at the market price. If the gap was small, he passed. If the gap was large and his reasoning survived a second read, he traded.
Then he recorded everything — his estimate, the market price, the direction, the outcome. After enough trades, he could prove to himself whether his gut was better than the market or worse.
The one habit that scales to $600,000
Rogalski's advantage is not stock-picking brilliance. It is calibration.
Calibration means: when you say "70% likely," does the event actually happen 70% of the time? Most people are overconfident. They say 90% and the event happens 70% of the time. Research from the Good Judgment Project confirmed this across thousands of forecasters.
Rogalski's spreadsheet lets him see his own overconfidence. After 50-100 trades, he could adjust. If his 70% calls were only hitting 55%, he started scaling back his certainty. Over time, his stated probabilities started matching his actual accuracy. That is calibration.
Once calibrated, the trade is mechanical. Find a market where the price is far from your (calibrated) estimate. Size the position based on edge. Enter. Record. Move on.
$600,000 over 18 months is roughly $33,000 per month. That is not a get-rich-quick story. It is a 24-year-old doing the thing most retail traders refuse to do: keeping a spreadsheet.
Why most retail traders will never do this
The spreadsheet is boring. Writing down your estimate before looking at the price feels pedantic. Recording outcomes after you've lost money is painful. Calibrating after 50 trades requires patience most retail accounts don't have.
Research by London Business School and Yale on $13.76 billion of Polymarket trades found 3% of traders drive nearly all price discovery. The other 97% fund their profits. The gap isn't intelligence. It's process.
Rogalski joined the 3%. He didn't do it by being smarter. He did it by writing down his predictions and grading himself.
The math behind the Rogalski trade
Rogalski ranked 20th on Kalshi's election trader leaderboard. Kalshi has tens of thousands of active traders. 20th place means he outperforms 99.9% of participants.
His $600,000 across 18 months implies around $500-$1,500 of profit per winning trade, with hundreds of losing trades balancing out. His win rate probably sits between 55% and 62%. His position sizing is probably 2-4% of bankroll per trade. His edge per trade probably averages 5-10 percentage points.
None of these numbers require genius. They require process, patience, and 500+ trades of discipline. Rogalski has been trading since the 2024 presidential election. He will probably still be doing this in 2028.
The copycat problem
You cannot copy Rogalski's trades. By the time his position appears on-chain or in Kalshi's public data, the mispricing is often gone. Prediction markets reward the first mover, not the follower.
What you can copy is his process. Keep a spreadsheet. Write down estimates before looking at prices. Record outcomes. Calibrate after 50 trades. Size positions by edge, not conviction.
That process is free. It takes 10 minutes per trade. It is the exact framework we laid out in our 5-step guide to trading prediction markets.
What the crowd is getting wrong
Media coverage of Rogalski frames his $600,000 as remarkable. Retail traders read it and think "if he can do it, I can do it." That misreads the story.
Rogalski is remarkable because he kept the spreadsheet. The $600,000 is the output of the spreadsheet, not the input. Most retail traders will skip the spreadsheet, lose $500 in six months, and conclude prediction markets are rigged.
The system isn't rigged. It is a probability-weighted knowledge tournament. The 3% show up to practice. The 97% show up to vibe.
What Juno lets you do
Juno's design assumes the Rogalski framework. We make it easy to track your predictions, see your calibration curve, and size positions by edge. The spreadsheet is built in. The process is the product.
You don't need to be in Seattle to be the next Rogalski. You need discipline, 500 trades of practice, and a willingness to grade yourself honestly.
The reframe
Dan Rogalski is not a genius. He's a 24-year-old with a math degree and a spreadsheet. The $600,000 proves what the LBS/Yale paper argued academically: prediction markets reward process, not inspiration. The spreadsheet is free. Most people won't open it.