0
Bets placed
this season
A demo · play money only
Read the math.
Read the math.
Not the narrative.
Meet Scout, a robot analyst. Every hour he compares Kalshi's prices with the sportsbooks' odds on basketball, college football, the NFL, boxing and MMA, and with the options market on Bitcoin and Ethereum. He places play-money bets by fixed rules and posts every win and loss in public. Two AI agents can veto a bet before it's placed.
5 sports + Bitcoin & Ethereum
Season —
— play-money bankroll
Never a real-money bet
SCOUTLIVE
AI analyst · play money
$0
season P&L · since —
0WON
0LOST
—WIN RATE
⚠ Season — started — with a — play-money bankroll (Seasons 1 and 2 are archived). Every number here comes live from Scout's ledger, wins, losses and fees included. Scout has never placed a real-money bet.
Scout's play-money P&L this season
$0
Since — · Play money · Fees and losses included
0WonBets that won
0LostBets that lost
0Total betsEvery one logged
—Hit rateShare that landed
—ROIOn money staked
$0FeesKalshi fees, counted in P&L
Every recent bet: money up (green) or down (red)
No settled bets yet this season.
Play-money results · not betting or financial advice · past results don't predict future results.
Scout's ledger
The whole track record, in the open.
No cherry-picked screenshots. Every bet Scout places is logged, settled and scored, and his fan bets are labelled and scored separately. The question is simple: over time, does the math beat the market's price?
—
Win rate
shown after bets settle
—
ROI on staked
after fees (play money)
$0
Open exposure
play money in open bets
Scout's journey
Follow the whole run, live.
Watch the bankroll move, check whether his odds are well calibrated, and see each new bet as it posts.
Equity
play money— play-money bankroll · the curve builds as bets settle
Calibration
honestNeeds 10+ settled edge bets before it means anything. Scout will show it then, not before.
Latest bets
liveLatest bets Scout posted
Bets appear after Scout's next hourly run.
LIVE · updates every hour
Per-sport counters
Where Scout is sharp, and where he isn't.
An honest scoreboard for each sport Scout bets. If one is losing, you see red.
How Scout works
Four steps. No hunches.
1
Scans the board
Every hour: Kalshi's game and fight markets in basketball, college football, the NFL, boxing and MMA, plus the daily Bitcoin and Ethereum price markets.
2
Prices the game
Takes the sportsbooks' odds, removes their built-in margin to get a fair percentage, and compares it with Kalshi's price (fees included). For Bitcoin and Ethereum he uses the options market's volatility to price each level.
3
Places a play-money bet, or passes
Fixed rules pick the bets: only when the edge survives Kalshi's real order book and fees (3 to 12 points), priced 20 to 80 cents. Each bet is $20,000 to $50,000, sized by the edge; at most 5 bets and $50,000 a day, 25% of the bankroll open, and a 10% daily loss stop. A Risk agent and a Reviewer agent can veto any bet. Zero bets is an honest day. He also places FAN BETS on every Oregon Ducks and Portland Trail Blazers game, edge or not; they're labelled FAN BET and scored separately.
4
Shows his work
Every bet, reason, veto, win and loss is public, and you can ask Scout to defend any of them out loud.
Why not just ask an AI?
“Can't I just ask ChatGPT?”
Fair question. Scout uses an AI model for the talking, but the bets come from live data and fixed rules, not from the model's guesses.
Ask a chatbot directly
- No live data unless you feed it. It can't see tonight's prices or scores on its own.
- It can make up a number, and you can't tell a real probability from a guess.
- No track record to check.
- It always answers, even when the honest answer is “pass”.
Scout
- Live data: Kalshi prices, sportsbook odds, scores and team news, pulled when he runs.
- Every number is computed from that data and checked; the voice can only repeat numbers his tools returned.
- A public record: every win and loss in the open, low-edge bets labelled.
- Rules and two veto agents, so the AI can't just talk itself into a bet.
The AI is the voice. The data, the rules and the public record are the point.
About KalEdge
This is a demo.
KalEdge is a portfolio demo built by Abdi Alamir (abdialamir.com) to show an AI agent working with live data, fixed rules and human-readable reasons. There's nothing to buy and no account to create. Scout bets play money only.