u/Mountain-Year5215

Two losses stung today. Washington Nationals at 50c came in heavy - 10 contracts, -$5.00. That one hurt because it felt like a reasonable entry point. Then the San Antonio Spurs at 38c, another 10-contract position, dropped -$3.80. Both trades looked solid on entry. Both settled the wrong way.

But here's the thing about variance in a four-trade day: two wins can wipe out two losses if they size bigger or hit at better prices.

The Athletics (MLB) came through at 32c. Bought 10 contracts, cashed out +$6.80. That's the kind of cheap underdog play that makes this whole thing work - low entry, meaningful upside if it lands. Oklahoma City Thunder at 77c was the other winner, a 10-contract buy that returned +$2.30. Not flashy, but consistent.

Four trades. Two hits, two misses. Net result: +$0.30.

I'm 31 days into this experiment now. The paper trading account is sitting at $966 (down 3.4% from the $1,000 start). That one hurts less than you'd think because the real money account is doing something completely different.

The real money account - the one that started with $10 - is now at $114.80. That's a +1,048% return in a month.

One month. Same model, same approach, different starting capital and probably some luck mixed in. The paper account shows what happens when you're bigger and variance swings harder. The real money account shows what happens when you're small and a few winners compound into something real.

Win rate across all 291 trades is 54%. That's slightly above 50-50, which doesn't sound impressive until you remember that contract pricing isn't random. Some trades are 20c, some are 80c. The model sizes accordingly. A 54% win rate with smart Kelly sizing means the account keeps going up, even on dead days like today.

Next few days will probably be quieter - fewer teams in action heading into the weekend. Could be a good reset before the volume picks back up.

Day 31 Stats Today: 2W-2L / +$0.30 4 trades (MLB + NBA) All-time: 157W-134L / 54% win rate Paper account: $966 (-3.4%) Real money account: $114.80 (+1,048%)

Anyone else notice how thin the NBA playoff markets get when you're looking at specific game outcomes versus season-long contracts? The liquidity swings are wild. Anyway.

Day 31 was a nothing burger. Four trades, 2-2 record, basically broke even at +$0.30. Not every day can be explosive, and frankly after 30 days of data I'm less bothered by individual flat days than I would've been week one.

The trades themselves:

Athletics came in at 32c and hit for +$6.80 on 10 contracts. That was the best of the day. Oklahoma City Thunder at 77c also came through, +$2.30, but those were the only two wins. Washington Nationals at 50c lost $5.00, and San Antonio Spurs at 38c cost $3.80. Pretty balanced distribution of P&L across wins and losses.

What's interesting about this month is the divergence between the two accounts. The paper trading account (started at $1,000) is now at $966, down 3.4%. The real money account (started at $10) is sitting at $114.80. That's a 1,048% return on the small account versus a negative return on the larger one.

Before anyone reads too much into that: small sample size, high variance, and the real money account is obviously exposed to more relative swings. A $6 win matters a lot more when your total is $10. A $10 loss matters a lot less when you've got $966 cushion. Both accounts are using the same model, same signal logic, same Kelly sizing. The divergence is mostly just noise right now.

Month one is done. 157 wins, 134 losses, 54% win rate. 291 total trades across 31 days. The model is still running through MLB and NBA. I'm going to keep documenting but I'm also going to stop obsessing over daily swings. This is going to be measured in months, not weeks.

Day 31 Stats (Today) Record: 2W-2L P&L: +$0.30 Trades: 4 Real money account: $114.80 (+1,048% from $10 start) Paper account: $966.00 (-3.4% from $1,000 start)

Four trades today. Two wins, two losses. Plus thirty cents. Not a lot to write home about, but after a month of running this experiment, flat days hit different.

The Athletics came in at 32 cents. Bought 10 contracts, watched it settle at a dollar. That's the kind of trade that keeps you sane on days like this one. Then Oklahoma City at 77 cents for another modest win. But the Nationals at 50 cents and the Spurs at 38 cents both went the wrong way. Both cost me three to five dollars each.

Here's what I'm realizing a month in: variance is real, and it's not some abstract concept in a textbook. It's watching your real money account go from $10 to $114.80 while your paper trading account sits at $966, down from $1,000. Same model. Same signals. Different results.

The paper account is teaching me something uncomfortable. After 291 total trades across 31 days, I'm at 157 wins and 134 losses. That's 54% accuracy. Some traders would quit on 54%. But on Kalshi, where contract sizing matters, where you're putting more volume on higher-conviction plays, that 54% is showing up as a real money gain that's honestly shocking.

One month ago, this felt like an interesting experiment. Now I'm asking harder questions. Is this repeatable? Am I just lucky? The model doesn't tell me why it likes the Athletics at 32 cents or why it hated the Nationals at 50. It just signals, and I execute. That's both the appeal and the problem.

Multi-sport days have been quieter lately. The volume tends to spike when there's a tournament or a ton of games happening at once. Today's four trades across MLB and NBA felt sparse by comparison. But sparse doesn't mean wrong.

The real test isn't one good day or one bad day. It's whether this holds up over another month. Whether the real money account keeps compounding or whether it's just been lucky variance so far. The paper account is giving me pause, but the real money results are hard to ignore.

Keeping it running. Too early to know anything definitive.

Day 31 Stats:

• Record: 2W-2L
• P&L: +$0.30
• Trades: 4 (MLB, NBA)
• Paper account: $966 (-3% from $1,000 start)
• Real money account: $114.80 (+1,048% from $10 start)
• All-time: 157W-134L (54.2% win rate over 291 trades)

A month in and I'm starting to see patterns that surprise me, and patterns that don't.

Today was quiet. Four trades across MLB and NBA. Hit two, missed two, ended up +$0.30. Not exactly exciting, but it's keeping the streak alive - the real money account is now at $114.80. Started this thing with ten bucks on day one, so the math is what it is.

The wins were clean. Athletics at 32 cents - 10 contracts for +$6.80. Oklahoma City Thunder at 77 cents - 10 contracts for +$2.30. Both hit. Both reasonable prices going in, so nothing felt crazy about them in the moment.

The losses were the interesting part. Washington Nationals at 50 cents, -$5.00. San Antonio Spurs at 38 cents, -$3.80. And here's what I've noticed over 31 days and 291 total trades: sometimes the model likes a price and it just doesn't work out. The Nationals felt like a reasonable entry point. The Spurs definitely did. But Kalshi doesn't care about what feels reasonable.

What's surprised me most after a month?

Win rate doesn't matter nearly as much as I thought it would. I'm at 54% overall (157 wins, 134 losses), which sounds mediocre. But the account is up over $100. That means the model sizes bigger on the trades it's more confident about, and smaller on the ones it's less sure of. A 54% win rate with disciplined sizing beats a 60% win rate with random bets every time. That's been the real education here.

What hasn't surprised me?

The volatility. Some days it pops off (like day 30 - perfect MLB day). Some days it's a slog. The paper account is down 3% from the $1,000 start, while the real money account is up over 1,000%. Both are running the same model. That's variance. That's the thing nobody really talks about - you can run a good system and still have a bad week.

The other thing that makes sense: MLB and NBA seem to have the most opportunities right now. Yesterday was two of each. Earlier in the month when March Madness was going, the model was firing across college basketball. When one sport dries up, another one opens up.

Here's what I'm still thinking about. Is this passive income? The account runs fully automated. I don't pick the trades. But I'm also watching it most days, and I'm aware of how volatile the underlying account is. That doesn't feel passive to me. It feels like I'm monitoring an experiment, which is exactly what this is.

31 days. 291 trades. $114.80 from a $10 start. Still more curious than confident.

Day 31 Stats Record: 2W-2L P&L: +$0.30 Total trades: 4 All-time: 157W-134L (54% win rate) Real money account: $114.80 (+1,048%) Paper account: $966 (-3%)

Slowest day in a while. Only four trades across MLB and NBA, and the model went 2-2 for +$0.30. Not much to write home about, but also a good reminder that variance works both ways.

The wins were solid though. Athletics at 32c came through with 10 contracts for +$6.80. That's the kind of cheap contract that pays if it hits. OKC Thunder at 77c also landed for +$2.30, which is smaller but still green.

The losses stung a little harder percentage-wise. Washington Nationals at 50c with 10 contracts dropped $5.00. And the Spurs at 38c cost me another $3.80. Both felt reasonable entries at the time, but sometimes the market just moves against you.

Real money account is still cruising though. Started the day at $87.25, so even a flat day doesn't hurt much. The paper trading account took a small hit, now sitting at $987, but that's noise at this point. Thirty days in and the model is still clearly profitable on the real money side.

Volume dried up today. That's fine. Better a quiet break-even day than forced trades on bad opportunities.

Day 30 Stats 2W-2L, +$0.30 4 total trades (MLB, NBA) Real money: $97.53 (+875% from $10 start) Paper trading: $987.00 (-1.3% from $1,000 start) All-time: 165W-137L, 55% win rate across 302 trades

Thirty days in and I'm starting to see the difference between streaks and signal. Yesterday was a perfect example of that gap.

Only four trades across MLB and NBA. Two hit, two didn't. The math looks clean on the surface - 50% win rate, +$0.30 - but the reality underneath is messier. That's the thing about small sample days. They don't tell you much.

The wins came cheap. Athletics at 32 cents for 10 contracts turned into +$6.80. That's a clean hit on a heavy underdog. Oklahoma City Thunder at 77 cents was tighter - only +$2.30 on the same 10 contract size - but still profitable. Both were exactly the kind of trades I'd expect to see from the model: one deep underdog, one slight favorite, both with real conviction behind them.

The losses stung a bit more emotionally, even though they were smaller in absolute terms. Washington Nationals at 50 cents hit the -$5.00 line. San Antonio Spurs at 38 cents cost -$3.80. Here's what's interesting though: those prices weren't bad entries. The model was willing to take them. Sometimes the market's right and you're wrong. That's not a failure of the model, that's just variance doing what variance does.

I mention this because after 30 days, I'm noticing a pattern in how I was thinking about this. Early on I treated every loss like it was a signal the model was breaking. Now I'm starting to separate the signal from the noise. A 50% win rate on a four-trade day means almost nothing. The 55% win rate across 302 trades? That's closer to signal.

The real money account is still up huge. Started at $10, now sitting at $97.53. That's a 875% return, and honestly it's almost hard to parse. A $10 account is so small that early wins compound it in ways that don't scale. But the paper trading account - the one that started at $1,000 - is at $987. Down 1%. That feels more real to me. Bigger account, more trades, more realistic environment. And it's trending toward break-even, which tracks with what you'd expect from a model that's only winning 55% of the time without some other edge.

The bigger lesson after a month: quiet days aren't bad days, they're just days where the model didn't find much. And days where the model doesn't find much tend to break exactly even, or close to it. Yesterday proved that. No drama, no big winners, no big losers, just four trades and a flat finish.

Day 30 Stats Record: 2W-2L P&L: +$0.30 Trades: 4 All-time: 165W-137L (55%) Paper account: $987 (-1%) Real money: $97.53 (+875%)

Four trades. Two hits, two misses. +$0.30 on the day. This is what happens when the model finds minimal opportunities in a quiet MLB and NBA slate.

The wins were solid. Athletics at 32c came through for +$6.80 on 10 contracts. That's a 3x+ return on entry, which is what you want when buying cheap contracts. The Thunder at 77c wasn't flashy - only +$2.30 - but favorites that expensive need to be right most of the time for the economics to work, and this one was.

The losses stung a bit more than the wins paid, which is just how it goes sometimes. Nationals at 50c lost -$5.00. That's a 50/50 coin flip gone wrong. The Spurs at 38c dropped -$3.80. Both feel like reasonable trades that just didn't land.

What's interesting is how thin today felt. Just 4 trades across two sports. The model scanned a full slate of games and didn't find much worth acting on. That actually feels healthy to me. Better to sit on your hands than force trades into markets that don't look mispriced.

30 days in, the real money account is at $97.53. Started with $10. The paper account is treading water at $987, down $13 from the $1,000 start. The all-time record is 165 wins, 137 losses. Win rate sitting at 55%, which honestly tracks with what I'd expect from a model that sizes bigger on higher-confidence plays.

Day 30 Stats: Today: 2W-2L, +$0.30 4 trades (MLB, NBA) Real money: $97.53 Paper: $987.00 All-time: 165W-137L (55%)

Four trades, broke even plus thirty cents. Not glamorous, but the real money account is now sitting at $97.53. That's $87.53 profit on a $10 start.

The day was split between MLB and NBA. Athletics popped at 32c - bought 10 contracts and walked away with $6.80. That underdog hit exactly how the model expected. Oklahoma City Thunder at 77c also came through, adding $2.30. Both wins felt comfortable, no drama.

Then the losses hit. Washington Nationals at 50c didn't go the way the model predicted, cost me $5.00. San Antonio Spurs at 38c followed suit, another $3.80 in the red. These weren't bad calls, just outcomes that didn't materialize. That's the game.

What's interesting: the paper trading account is down to $987 (down 1% from the $1,000 start), but the real money account keeps climbing. Over 30 days, the model is 165 wins, 137 losses. That 55% win rate doesn't sound impressive until you remember the sizing is based on confidence - bigger bets on higher-confidence plays, smaller on the uncertain ones. The math works out.

Day 30 Stats Record: 2W-2L | +$0.30 Trades: 4 (MLB, NBA) Real money account: $97.53 (+875%) Overall: 165W-137L, 55% win rate

Day 30 was clean. Five trades, five wins, no mess. Real money account officially crossed $100 today - sitting at $105.02 now. Started this whole thing with $10.

All MLB today. The model was picky, which honestly I appreciate. When it finds something it likes, I'm learning to trust it.

The standouts:

Arizona Diamondbacks at 40c - 10 contracts, +$6.00. Cheapest entry of the day and the biggest win. Classic underdog play.

Washington Nationals at 50c - 10 contracts, +$5.00. Right in the middle pricing-wise, solid execution.

Minnesota Twins at 54c - 10 contracts, +$4.60. All three of these mid-range plays hit clean.

The other two, Seattle at 55c and Tampa at 55c, both +$4.50 each. Nothing fancy, just consistent.

Zero losses today feels weird after the variance I've seen over the last month. Could easily swing the other way tomorrow. That's prediction markets though - you get days like this and you get days where you're underwater on a dozen contracts. The model doesn't discriminate between good luck and good analysis, it just executes.

Paper account is still down 1% overall, real money account is up almost 950%. Small sample size, paper account, huge variance - but the direction is what matters right now.

Day 30 Stats 5W-0L, +$24.60 All-time: 125W-114L (52% win rate) Real money: $10 -> $105.02 Total trades across 30 days: 239

Day 30 just wrapped and it was one of those clean execution days where the model found five mispricings in MLB and all five hit.

I'm starting to notice that narrowing focus to a single sport creates better signal. The past week I've been running MLB only after some rougher multi-sport days, and the win rate has tightened up noticeably. Today is a good example. Five trades, zero losses, +$24.60. Simple.

The real milestone though: the real money account just crossed $100. Started at $10 thirty days ago. That's a 950% return, though I want to be clear about what this actually means. One, it's paper trading money that became real money. Two, it's a small sample. Three, variance is real and could easily swing this the other way tomorrow.

Here's what hit today:

Arizona Diamondbacks at 40c - 10 contracts, +$6.00. Cheap entry, clean win.

Washington Nationals at 50c - 10 contracts, +$5.00. Mid-range favorite that held.

Minnesota Twins at 54c - 10 contracts, +$4.60.

Seattle Mariners at 55c - 10 contracts, +$4.50.

Tampa Bay Rays at 55c - 10 contracts, +$4.50.

All five were in the mid-40s to mid-50s range. No outliers, no disasters. The model sized modestly on each one. That consistency matters more than any single trade.

The paper trading account is still down 1% from the starting $1,000, which is a useful reality check. It shows that even over 30 days and 239 total trades, it's easy to be lulled by one account's performance. Both accounts are tied to the same model and the same trades, just different starting positions and bet sizing rules.

What I'm watching for next: whether this MLB-only streak holds or if diversifying back into multiple sports becomes necessary. The model will decide.

Day 30 Stats (MLB only) Today: 5W-0L | +$24.60 Total record: 125W-114L (52% win rate) Paper account: -1% | Real account: +950%

Day 30 was clean. Five trades, five winners, $24.60 on the day. The real money account is now at $105.02, up 950% from the $10 start.

All MLB today. The model locked in positions across a mix of favorites and mid-range plays. Arizona Diamondbacks at 40c was the biggest winner, 10 contracts for +$6.00. Washington Nationals at 50c added $5.00. Minnesota Twins at 54c, Seattle Mariners at 55c, and Tampa Bay Rays at 55c all hit for $4.50 to $4.60 each.

No losses today. That doesn't happen often. The sample is small - five trades isn't enough to say anything meaningful - but it's nice to see the model firing on all cylinders in a single sport. Paper trading is still underwater at $986 (down 1% from the $1,000 start), but the real money account keeps grinding.

Day 30 Stats Today: 5W-0L, +$24.60 All-time: 125W-114L (52% win rate) Real money: $105.02 (+950%) Paper trading: $986 (-1%)

Day 30 was quiet but clean. The model stuck to MLB only today, which meant just five trades total. All five hit.

Not sure if this is a pattern or just good luck, but single-sport days seem to run hotter than the multi-sport days. Maybe the model finds better opportunities when it's focused. Or maybe I'm seeing patterns that aren't there. Five games isn't a lot to draw conclusions from.

The wins:

Arizona Diamondbacks at 40c - 10 contracts, +$6.00. Cheapest entry of the day. These low-probability trades are where the real payouts hide if they connect.

Washington Nationals at 50c - 10 contracts, +$5.00. Mid-range entry, straightforward hit.

Minnesota Twins at 54c - 10 contracts, +$4.60. Three of the five trades were in the 50-55c range. The model seemed confident on that price tier today.

Seattle Mariners at 55c and Tampa Bay Rays at 55c both at the same price, both +$4.50 each. Mirror trades almost.

No losses today. That doesn't happen often. Over the last 30 days, the win rate is 52%, so a 5-0 day is definitely an outlier. The paper account is still underwater at $986, but the real money Kalshi account just crossed $105. Started at $10, so that's a 950% gain.

The thing I keep thinking about: the real account is smaller, so Kelly sizing keeps the individual bets tiny. But that tiny account is outperforming the paper account significantly. Volatility cuts both ways, I guess.

Day 30 Stats (MLB only) Today: 5W-0L / +$24.60 All-time: 125W-114L / +$91.02 Win rate: 52% Real money account: $105.02 (+950%) Paper trading account: $986.00 (-1.4%)

Perfect record today. Five trades, five hits, +$24.60. All MLB.

The Diamondbacks at 40c was the biggest winner - bought 10 contracts for +$6.00. Clean. Washington at 50c added another $5.00, and the Twins, Mariners, and Rays all closed in the $4.50-$4.60 range. Nothing spectacular individually, but when you go five-for-five, you don't complain.

Real money account is now at $87.25, up 773% from the $10 start 29 days ago. Paper account sitting at $967, which is a different story - down 3% from $1,000. The divergence is interesting. Real money has been pickier (fewer trades), but when it trades, it's been sharper. Paper account has higher volume and more variance.

All-time record is 127W-120L (51% win rate) across 247 trades. Still slightly above break-even on win rate, but the Kelly sizing is doing the heavy lifting - the winners are hitting at better prices than the losers are costing.

Day 29 Stats Today: 5W-0L, +$24.60 (MLB only) Real money: $87.25 (+773%) Paper account: $967 (-3%) All-time: 127W-120L, 51% win rate

I'm starting to notice something over the last week or so. When the model narrows its focus to a single sport, it tends to run hotter. Today was another example of that.

Day 29 was all MLB. Five trades, five wins, +$24.60. The model didn't touch anything else - no NBA, no other sports. Just baseball.

The best part? Every single trade was positioned at mid-range pricing. Nothing crazy expensive, nothing desperate underdogs. Just clean opportunities:

Arizona Diamondbacks at 40c, 10 contracts, +$6.00. That's the kind of win that compounds over time - not flashy, just solid. Washington Nationals at 50c, 10 contracts, +$5.00. Minnesota Twins at 54c, 10 contracts, +$4.60. All of them hit.

The pattern I'm seeing: when the model is scanning one sport in depth instead of jumping between multiple markets, the win rate gets tighter. Fewer trades overall, but a higher hit rate. It's the opposite of diversification spreading you thin - it's focus actually translating into better accuracy on Polymarket's sports contracts.

The real money account is now at $87.25, up from $10. That's 773% in 29 days. The paper account is still down 3% at $967, which keeps me honest about variance and sample size. Two very different stories from the same model.

All-time record is 127W-120L (51% win rate) across 247 trades. The win rate isn't impressive on paper, but Kelly sizing means the model is betting bigger on higher-confidence spots, so the wins compound faster than the losses drag.

Curious if this single-sport focus pattern holds or if it's just noise. Either way, today was clean.

Day 29 Stats (MLB only): Today: 5W-0L, +$24.60 Real money: $87.25 (+773%) Paper: $967 (-3%) All-time: 127W-120L, 51% WR

Twenty-nine days in and I'm starting to see something interesting: the quieter days are often the most profitable ones.

Today was a perfect example. Just five trades, all MLB, all winners. The model was selective. It wasn't looking for volume or trying to scalp every minor pricing inefficiency. It identified five specific mispricings and took them, then stopped.

Arizona Diamondbacks at 40c for 10 contracts hit for +$6.00. Washington Nationals at 50c for 10 contracts added +$5.00. Minnesota Twins, Seattle Mariners, and Tampa Bay Rays all three came in at mid-50s pricing and all three won. Clean execution.

What surprised me most over 29 days isn't the win rate. It's how asymmetric the payoffs are. I'm sitting at 51% win rate overall (127W-120L), which is basically break-even on coin flips. But the account math doesn't reflect that. Real money is at +773% from the initial $10. Paper trading is only down 3% from $1,000. The model sizes bigger on higher-confidence plays. The wins on those big bets tend to outweigh the losses.

I didn't understand that at first. I thought a sub-52% win rate would bleed money. It doesn't, if you're right about which bets matter more.

The other thing that's become obvious: variance is real. Day 24 was rough. Days 19-21 were wild swings. But zooming out to the full month, the trajectory points up. I've learned to trust the process more and the daily noise less. A three-trade day that goes 3-0 is great, but a 15-trade day that goes 7-8 isn't a disaster if the math works out.

I'm not claiming this scales forever or that the model is unbeatable. Sports are inherently uncertain. But 29 days in, the Kalshi contracts the model identifies do seem to be getting systematically mispriced in predictable ways.

Day 29 Stats Today: 5W-0L, +$24.60 Total P&L: Real money +$77.25 (from $10), Paper -$33 (from $1,000) All-time: 127W-120L (51% WR), 247 total trades

Sometimes the quietest days hit the hardest.

Only five trades today across MLB. No noise, no spread-out bets across multiple sports. Just the model waiting for specific opportunities and then taking them cleanly. All five hit.

Arizona Diamondbacks at 40c was the cheapest entry. Ten contracts, +$6.00. That's the kind of trade that feels obvious in hindsight but the model had to see something before the rest of the market caught up. Washington Nationals at 50c followed, +$5.00. Same size, same conviction.

The middle trades were tighter. Minnesota Twins at 54c, Seattle Mariners at 55c, Tampa Bay Rays at 55c. All ten contracts each. All winners. Combined they added $13.60 to the day. Not flashy individually, but the consistency is what stands out.

When you go 5-0, the narrative writes itself. But here's what actually matters: the wins were sized appropriately for their confidence levels. The model wasn't throwing money at longshots. It was methodical about it.

The real money account is now at $87.25. Started at $10 on day one. That's 773% gain over 29 days. The paper trading account sitting at $967 (down 3% from the initial $1,000) is a reminder that this doesn't always work in a straight line, but the automated approach seems to find enough mispricings to stay ahead.

All-time record is 127W-120L. That's a 51% win rate. Not dominant on the surface, but the Kelly criterion sizing means the winners are paying more than the losers are costing.

Day 29 Stats Today: 5W-0L | +$24.60 5 trades (MLB only) All-time: 127W-120L | +$77.25 (real), -$33.00 (paper)

Six trades. Five winners. That's the kind of day that keeps a prediction market account alive.

The standout was the San Antonio Spurs at 50c. I loaded 10 contracts and watched it settle for +$5.00. That's a clean double on entry. It's one of those mid-range prices where the model finds opportunities - not the cheap underdogs that can blow up, not the expensive favorites everyone already priced in. Just a solid contract that moved in the right direction.

The Yankees followed at 59c with 10 contracts for +$4.10. MLB spring training is usually noise, but when the model finds something across multiple sports in the same day, that's when the conviction shows. The Portland Fire in WNBA at 62c added another +$3.80. Three different leagues, three winners.

Minnesota Twins (MLB) at 65c hit for +$3.50. Dallas Wings (WNBA) at 76c was the smallest winner at +$2.40 - expensive entry, so the absolute profit was smaller even though the model was confident enough to size it.

The only loss was Connecticut Sun at 53c, which dropped $5.30. Single loss on a six-trade day. That's the variance you live with in prediction markets. One bad settlement can wipe out a couple of smaller wins. In this case, it left us green anyway.

The real money account continues to pull ahead. Started at $10 on day one, now at $95.77. The paper account sits at $990, down slightly from the $1,000 start. That spread tells you something about sample size and luck, but after 29 days and 356 total trades, the directional trend is pretty clear.

Day 29 Stats Today: 5W-1L, +$13.50 6 trades (MLB, NBA, WNBA) All-time: 196W-160L, 55% win rate

Six trades. Five winners. That's the kind of day that makes you believe the model knows something.

Started the morning checking the MLB slate. Yankees contract was sitting at 59c when the model flagged it. Threw 10 contracts at it. Not a huge position, but enough to matter. The team came through and I pocketed $4.10. Clean win. Those mid-range baseball plays have been reliable lately.

WNBA was next. Portland Fire came across the feed at 62c. The model lit up. I went 10 contracts again and watched it cash for $3.80. Two wins in a row, both solid. The account was creeping up.

Then the Spurs contract hit the board at 50c. This one felt different. The model was aggressive on it, suggesting a bigger position, so I went 10 contracts. Watching that one resolve was the highlight of the day. It paid $5.00. The single biggest win of the session.

Minnesota Twins came next, also at 65c. Another MLB play. Ten contracts, $3.50 profit. The model was clearly finding mispricings across baseball today. Sometimes you get those multi-sport days that click across the board, but today felt like the model was really zeroed in on baseball specifically.

Then Connecticut Sun happened. 53c entry, 10 contracts. Lost $5.30. That stung a bit. One loser in a six-trade day is solid, but it knocked the edge off the Spurs win. Still green though. Still significantly green.

Dallas Wings closed it out at 76c. Small entry at 10 contracts, but it hit for $2.40. End the day on a winner. Always a nice feeling.

Real money account is now at $95.77. Started with $10 on day one. That's 858% return if you're keeping score. Paper account is down to $990, which means it's taking some real losses lately while the live money keeps climbing. Interesting divergence. The model keeps both running simultaneously, and they're telling different stories right now.

29 days in, 196 wins and 160 losses. Win rate is sitting at 55%. Not flashy, but the compounding is real. The small positions on the 10-contract plays add up when most of them hit.

Day 29 Stats (Multi-sport day):

• Record: 5W-1L
• P&L: +$13.50
• Trades: 6 (MLB, NBA, WNBA)
• Real money account: $95.77 (+858% total)
• Paper account: $990 (-1% total)

Day 29 was quiet but solid. Six trades across MLB, NBA, and WNBA, and the model went 5-1 for +$13.50. Not huge volume, but the win rate was clean and the real money account keeps climbing.

The standout was the San Antonio Spurs at 50c. Bought 10 contracts for a $5.00 win. There's something about mid-range NBA contracts that feel right when the model signals them, especially early in the day when the market is still settling. This one hit decisively, which is always a good sign. No stress, no sweat.

The Yankees came through next at 59c on the MLB side, another 10 contracts for +$4.10. Baseball is weird on Kalshi - the market moves fast between games and you either catch the timing or you don't. This one felt timed right.

The WNBA provided the other three wins. Portland Fire at 62c came in for +$3.80, Dallas Wings at 76c added +$2.40, and Minnesota Twins (MLB) at 65c rounded it out with +$3.50.

Only one loss on the day: Connecticut Sun at 53c, 10 contracts, -$5.30. Mid-range WNBA contract that didn't work. It happens. When you're running a model that's trading across three sports simultaneously, you're going to take some shots that miss.

The gap between the paper and real accounts is getting wider. Paper trading is down 1% to $990, but the real money account is up to $95.77 - an 858% return since starting with $10. I know that number sounds crazy. It probably is, at least partly. Small starting capital amplifies early variance. But 356 trades in, 196 wins and 160 losses, I'm not complaining.

Day 29 Stats Today: 5W-1L | +$13.50 6 trades (MLB, NBA, WNBA) Paper account: $990 (-1%) Real money: $95.77 (+858%) All-time: 196W-160L (55% win rate)