Tomorrow's high temperature is a market. We trade it.
On apps like Kalshi, you can bet on tomorrow's high temperature in major US cities.
We run the same forecast models the pros use, spot the bets the market priced wrong,
and text you exactly what to buy and where. Around 7 in 8 of our trades have won,
and every single trade is public and verifiable on the exchange. See the record →Past performance doesn't guarantee future results. Prediction-market trading carries real risk.
A Telegram message lands - the city, the price, our win-probability, and the exact market link to open.
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2 · Open the market
Tap our link straight to the exact contract on Kalshi (or find it on Coinbase / Robinhood) - you're on it in seconds.
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3 · Tap Buy
Place the trade, set it down, get on with your day. We tell you the result when it settles.
No charts. No forecasting. No trading experience. If you can read a message and tap a button, you can do this.
Full transparency
Every trade. Every city. Nothing hidden.
Reconstructed directly from Kalshi's settlement and fill records - every win, loss, and stop-loss exit. The full per-trade ledger lives on a dedicated page.
- W- L-% win rateScanning 40+ · - w/ fills
The bot continuously scans 40+ US cities every 5 minutes. The figures above are the exchange-verified record since Apr 23, 2026 (v1.0 methodology start); see the full per-trade ledger at /track.
Date
City
Threshold
NO Fill
P&L
Result
Loading recent trades… see the full ledger at /track.
The /track page shows every trade, reconstructed from Kalshi settlement records - with every stop-loss exit counted at its real cash result.
Who builds this
Built by data engineers. Not influencers.
3rd Eyes isn't a hype account - and it isn't a single AI prompt. It's an engineered pipeline: a four-model weather ensemble, per-station bias correction learned from history, an ensemble-spread filter, a +EV pricing gate, confidence grading, and a pre-set stop-loss on every trade. Built and run by two engineers, brothers, with a combined 17 years moving and protecting production data. That discipline is why the public ledger - reconstructed from Kalshi's own settlement records - shows a win rate of 87.7% you can verify trade by trade.
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Anil Sharma
Data & Models · Co-founder
Reynoldsburg, OH · 7+ yrs data engineering
Databricks Certified Data Engineer and Anthropic Certified Claude Architect. Builds the forecast pipeline - multi-model weather ingestion, the scoring engine, and the signal logic that finds mispriced contracts. Day job: enterprise data engineering (Spark, Azure Synapse, SAP Datasphere).
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Sunil Sharma
Infrastructure & Reliability · Co-founder
Washington, DC · 10+ yrs data protection
Principal Backup Engineer & Solution Architect at a major financial institution - enterprise backup/restore, RTO/RPO, and cyber resilience & recovery. Owns reliability and data integrity: the systems that keep the engine running 24/7 and the public ledger trustworthy.
We trade every signal ourselves. Every signal we publish runs through our own accounts on auto-execute - we don't send you a trade we haven't taken. Our money is on the same line as yours.
Simple pricing
Start free. Go hands-free when you're ready.
See real signals, verify real trades, then upgrade. Add the Execution Pipeline to go fully automated: your server, your keys, one session. New to prediction markets? See our quick-start guide ↗.
Free
$0 /mo
See real signals. Check the track record. Try it on your platform before paying anything.
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Sample signals via public Telegram
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Public trade ledger (exchange-verified from Kalshi)
Set it up once. Never touch it again. A 45-minute 1-on-1 live session where we walk you through building your own signal listener: fully hands-free execution on your own server.
$499 today · Pro free for 30 days, then $49/mo · Book your setup call right after checkout
Pro is billed monthly through Stripe and you can cancel anytime - access continues through the end of the period you have already paid for. Because this is a continuously delivered digital service, fees are non-refundable. Full details in cancellation & refunds.
FAQ
Questions answered.
Yes. Kalshi is a CFTC-designated contract market, the same regulator that oversees CME and the major US futures exchanges. Trading prediction contracts on Kalshi is 100% legal for US residents. 3rd Eyes provides signal research, the same way stock screeners or options analytics services do.
No. 3rd Eyes is a research and signal-publishing service - think stock screener or options-analytics tool, not a broker. We never hold your money, place trades for you, or give personalized investment advice. You trade in your own account, in your own name, and every decision is yours.
Kalshi is open to US residents who are 18 or older, and you'll complete Kalshi's own identity verification when you sign up (a few states restrict certain markets). You'll need your own funded account on Kalshi, Coinbase, or Robinhood. 3rd Eyes only delivers research - we don't onboard you to any exchange or handle your funds.
Prediction-market gains are generally reportable, and exchanges like Kalshi may issue year-end tax forms (e.g., a 1099). Tax treatment depends on your circumstances and we are not tax advisors - please consult a qualified professional. The exchange's settlement records are the source of truth, so keep your own copies.
You can lose your entire stake on any trade. These are small-edge NO positions: they win often, but a single rare-weather day can take a position toward zero, and the stop-loss exits at a real (worse) price - never a guaranteed one. Past performance does not guarantee future results. Only stake discretionary funds you can afford to lose entirely, and size conservatively.
There's no minimum from us - Kalshi only requires a $10 deposit to start. What matters far more than the dollar amount is how you size each trade: we suggest risking a small, fixed fraction of your bankroll on each signal (commonly 1-5%, scaled by the signal's confidence grade) and never staking money you can't afford to lose. Many subscribers start with a few hundred dollars and a ~2% per-trade size. There are no platform fees for placing orders.
Temperature extremes are rare. "City X will hit 95°F today" is usually false. A NO position wins if the temperature stays below a stated threshold, which our models can predict with high confidence when every ensemble member across all four forecast models clusters far from the threshold. We never trade YES because the upside is smaller and the prediction is harder.
We keep it simple: one bankroll, not a tangle of slots or compounding ladders. Decide the total you're comfortable risking (your bankroll), then stake a small fixed fraction of it on each signal - many traders use 1-5%, scaled by the signal's confidence grade. Hold no more than two positions in any one weather region, and let the pre-set stop-loss cap the downside on each trade. As your bankroll grows, the same percentage naturally puts a little more to work; if it shrinks, you automatically bet less. The sizing calculator does the math for you.
Losses are part of any probabilistic edge, and we publish them rather than hide them. One instructive example: an early LA position moved against us intraday when morning GFS models underestimated afternoon temperatures due to marine-layer burn-off, a known coastal bias. We responded by widening the LA/SF/SD minimum buffer and adding per-station bias correction, so that specific failure mode now triggers a filter. Our full win and loss record is verified directly from Kalshi settlement records - see /track.
Yes. Every signal is for a Kalshi temperature contract - Kalshi is CFTC-regulated and legal for US residents. The identical contracts are also carried by Coinbase and Robinhood, so you can place any signal on whichever of the three apps you already use. Liquidity and fees differ slightly per platform; the signal works on all three.
It varies. Currently we average 5-8 qualifying signals per week across 40+ cities. The system only fires when buffer, multi-model agreement, and orderbook depth all clear thresholds; we'd rather miss a trade than take a bad one. Quiet weather periods may show 2-3/week; active high-pressure regimes can push it past 10.
87.7% across 73 settled trades (64 wins, 9 losses, +$68.43 net) since our v1.0 methodology launch on Apr 23, 2026. Every figure is reconstructed line-by-line from Kalshi's own settlement and fill records, with stop-loss exits counted at the real price we got out - nothing hidden or rounded up. See the full per-trade ledger at /track. (Note: a high win rate on small-edge NO positions still carries real risk; past performance doesn't guarantee future results.)
Not exactly. We're not competing against meteorology desks on raw forecast accuracy. The edge comes from retail behavioral inefficiency on Kalshi: slow repricing, "YES chasing" on extreme temperatures, low liquidity in long-dated markets, and inconsistent risk management by casual traders. Our multi-model stack lets us identify those mispriced markets quickly. The forecast is the gate. The edge is the gap.
Ready to start?
The model is running. The edge is there.
Join free. Get real signals with full trade reasoning this week. Verify every trade on Kalshi yourself. Pick your risk tier when you're ready to go pro.
