Today we’re launching Synth LLM for Traders on
@Polymarket@trylimitless@HyperliquidX@DeribitOfficial and more
This is the first ever LLM-native interface for turning live Monte Carlo forecasts into custom statistics, charts & example trades
QT for a chance to win Pro access
Score x @ReadingFC
Over the next year with @ReadingFC, we’ll build vision AI models that turn match footage into game changing insights for their coaches and players, and systems that make stadium operations smarter and more efficient for elite sport organisations.
We’re aware that some holders couldn’t add USDC during Phase 1 and Phase 2.
If you weren’t able to access or add funds to αVault, don’t worry, you’ll get another chance very soon.
We’ll open a dedicated access window for those who couldn’t join during Phase 1 and 2.
Please fill out this short form so we can include you in the next deposit window:
https://t.co/SuMjRoFQGB
Now for a quick recap:
Both Phase 1 and Phase 2 filled up faster than even our most optimistic forecasts. The moment the gates opened, thousands of concurrent checks hit the Vault, briefly pinning the UI on “checking” while eligibility was verified.
That gatekeeping worked - just a little too well, and during those peak minutes, only a limited number of transactions got through. The Vault still filled completely in both phases, and wallets that made it through were credited immediately.
Since then, we’ve added more caching, behind-the-scenes prefetching, and higher concurrency so the checker stays responsive even when everyone jumps in at once.
To keep things fair for everyone, αVault will not start trading before the weekend (no earlier than Saturday/Sunday, October 18–19).
Thank you for your patience and support.
Arsenal vs Manchester City – Premier League
Man City to win is priced at 3.80, with a 28.7% αLink probability and a +EV of +9.2% (fair odds: 3.49).
City at these odds is a risk the bookies might regret 😬
You don’t always need the terminal to hand you bets 👀
Another way to use https://t.co/1rkfNY5hKd is to find bets yourself and then ask if they’re +EV. This gives you more flexibility and control.
Here’s an example prompt ⤵️
“Provide the probabilities for each team to win or draw, along with the odds at which betting on them would be +EV, for the following UCL matches:
•Manchester City vs Napoli
•FC Barcelona vs Newcastle
•Club Brugge vs Monaco”
The answer: detailed probabilities + the odds where each outcome becomes a +EV play ✅
From there, you can cross-check with your bookmaker’s odds and see how the edge has shifted.
Example:
“I found FC Barcelona at 3.00 odds, what’s the +EV?”
https://t.co/1rkfNY5hKd will break it down with:
🔹 Win probability
🔹 Fair odds
🔹 Implied odds from the bookmaker
🔹 EV %
This way you’re not just following - you’re building your own strategy with the data 📊
@iamMvnsa@sire_agent Good question bro. You can read the doc https://t.co/pjVrBbifot but I couldn't find anything on it. For the moment, access was free. Let's see what the future holds.
I won 2 betting contests on $SIRE 🏆 @sire_agent
I’m not a genius or a pro, just a sports betting enthusiast. Maybe my process can be useful to some of you. I don’t know if it’s the most optimized way, but it worked really well for me 👇
TMP, $SIRE is more than just $SIRE. The terminal doesn’t only spit out EVs when you ask — it can give you a lot of details about matches, styles, context, and probabilities. That's what I like about this project. It's transparent from start to finish.
If you know the market and can analyze those details properly, I think it becomes a really interesting combo:
🧠 Model insights + 🎯 market knowledge = 💡 good edges.
I think most people just ask the model to “find me EV+ bets.” That works, but I pushed it further with a process that gave me consistent results. Here’s how:
1. Start with the daily schedule
I ask the terminal: “what matches are on today?”
→ This gives me a list of games. (Sometimes it misses a league, but if you ask for a specific match, it finds it.)
2. Zoom in on one game
From that list, I pick the ones I care about and ask: “what can you tell me about X vs Y?”
→ The model shares insights on style of play, recent form, expectations.
3. Refine into specific markets
Example: it predicts a defensive game → I ask: “what’s the probability of under 2.5 goals?”
(Sometimes it can’t give % on all markets, but when it does, it’s powerful.)
4. Compare with my bookmaker’s odds
The % probability makes it easy to compare with the odds I see in France (not always the best odds available).
⚠️ Important: the EVs the terminal shows are calculated from API-connected odds (I think). Sometimes those odds are wrong, sometimes not available in certain countries. The EV is only real if you can actually find the same odds yourself. That’s why I always ask the model to recalc EVs with the odds from my own bookmaker. Otherwise, it’s useless for me.
5. Calculate EV
I finish by asking: “with odds of 1.9, calculate the EV.”
→ This step shows clearly if there’s real value. Of course, you can do the math yourself — but having it integrated in the workflow makes the process smoother and keeps me consistent.
🔥 The key wasn’t just trusting the model blindly, but building a loop:
schedule → game insights → probabilities → compare with odds → EV check.
And very important for me : I only keep the bets where I agree with the model. If I disagree, I don’t bet against it (because it’s clearly better than me) — I just stay away from that match.
That process is how I climbed the leaderboard. Not magic, just structure + discipline.
For now I won’t have access to the terminal anymore to keep testing, but I wish the best of luck to everyone using this amazing model 🙌
And a huge thank you to the $SIRE and #sn44 SCORE teams, to @maxscore Kacper @sirubi_eth (and those I forget) you guys are incredible, always available and fair 🙏
SIRE ⍺Link Betting Contest - #1 Bettor 🏆
With 163.82% profit on Full Kelly, @PurpleWain is dominating the ⍺Link Betting Contest on Zealy.
Citizens, who dares to challenge the king?
Join our Zealy now and compete for $5k in $SIRE rewards 🔽
https://t.co/ZoOaJXJeRj
@JoshKingX_@sire_agent Oh, sorry if you missed them, they're the Zealy contests. @sire_agent has done two so far to test the terminal in complete transparency. Check their Twitter posts, you'll find everything there.
@zero_chance009 @sire_agent Hi zerozero full Kelly maximizes growth but also variance — it’s riskier. Most bettors use Half- or Quarter-Kelly to smooth out swings I think.