
Gliss
145 posts

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one lesson we've learned launching prediction market tools? data's worthless if it's locked behind walls.
that's why we're dropping our query playground today: full historical access to @Polymarket & @Kalshi, no APIs, no limits.
pull trends on anything from sports to election swings to BTC price swings. totally free to start. best replies get beta access to our pro tier 👇
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Gliss retweetledi

@PredictionDeskX posting great insights per usual
PredictionDesk@PredictionDeskX
Crazy arc: Kalshi opened 2025 doing ~1M transactions per month. Now it’s already on pace to hit 22M+ transactions in December alone. If this is the baseline, 2026 is going to be an insane year for prediction markets.
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Working on a @Polymarket vault product similar to Hyperliquid.
1. Pro bettors create a vault
2. Fans/followers pool in money and receive shares
3. Manager can ONLY create Polymarket orders using vault balance (1/3)

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@lunatik_corp @StandDOTtrade @Polymarket Gliss has the same live feed feature too: app.gliss.sh/latest
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The best tool for tracking wallets on Polymarket
The platform @StandDOTtrade did this taking into account all the wishes of traders. The main idea of the project is Axiom for PM, but I can’t ignore how they made 'Live Feeds' section.
1. You can customize notifications of each trader for yourself. For example, you can set notifications about trades only on mention markets:
2. In the 'Find traders' tab you also can see a selection of the best traders by PNL.
3. By selecting a trader you can look at a short overview about him – made nicely and quite informative:
4. Below in the whale watching tab you can watch all whale trades made in live. There you also can set settings for which category of markets you want to see trades and with what volume of $:
5. If you noticed some of the markets, you can buy shares directly on the platform with the most simple interface:
Unfortunately, they have not such feature as Telegrem notifications yet, but as they said 'This is coming!'




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@vladtenev Will there be an API to retrieve prediction market data on Robinhood?
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We're building AI and prediction markets into the core of what we do. Ask me anything about either.
Robinhood@RobinhoodApp
Ask Vlad anything about our #RobinhoodPresents YES/NO event. We’re hosting a Reddit AMA on r/RobinhoodApp with our CEO and Co-founder, @VladTenev, to talk about the YES/NO event launches across Robinhood Cortex and prediction markets. Drop your questions in our subreddit, r/RobinhoodApp and he’ll answer as many as he can.
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Tomorrow Polyfactual is going live with
@gondorfi the largest lender in prediction markets.
They raised $2.5 million to spearhead a revolutionary defi model for PMs. We will be talking this and more tmrw on X at 10AM est.

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Prediction Markets: The Next Frontier of Financial Markets | Livestream 🔊
@JuanDMendieta, CSO, @keyrock
@hagaetc, CEO, @Dune
@primo_data, Senior Data Engineer, @Polymarket
@0x_ultra, Crypto Growth, @Kalshi
🗓️ 23 December, 5:00PM CET
x.com/i/broadcasts/1…
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@PeterSchiff @GrantCardone Peter which one should I throw my life savings on
polymarket.com/event/what-pri…
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@GrantCardone Only in his imagination. Apparantly, you share in his delusion.
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Trump is fixing US ECONOMY. 2026 set to boom. You don’t have to like him to like what he’s getting done ✅ #TrumpBoom
• Taxes down
• Real Wages up
• Prices going lower
• Housing prices lower
• Mortgage Rates down
• Trillions being invested
• Border secure no new entries
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@gliss_sh @GrantCardone Um sir how long have you been investing for
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Coinbase just launched an Instagram, a Robinhood, an Adyen, a Venmo and a Mastercard today 👀
Coinbase 🛡️@coinbase
Coinbase System, updated. → Stocks → Prediction markets → Millions of DEX assets And a whole lot more. The future of finance is on Coinbase.
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we’ve built a new research engine for prediction markets powered by a method called Semantic Similarity Rating (SSR).
traditional prediction markets depend on traders and liquidity to surface probabilities.
SSR replaces that entire process with reasoning.
in real markets, prices emerge from capital weighted conviction belief expressed through money.
but they’re constrained by liquidity, access, and who actually trades.
markets don’t capture what everyone believes, only what participants are willing to stake capital on.
SSR replaces that with semantic evidence.
each synthetic persona writes its reasoning in natural language why they think an outcome will or won’t happen.
we embed that text and measure how close it is to belief anchors like
impossible · unlikely · 50/50 · likely · certain
that semantic proximity becomes a probability.
instead of money → price → probability,
we get meaning → similarity → probability.
now imagine hundreds of synthetic personas each with different backgrounds, biases, and expertise reasoning over the same market question:
“Will the Fed cut rates before December 2025?”
each persona reads curated, up to date information forms an argument, and outputs a belief derived from its semantic similarity to the YES and NO anchors.
when you aggregate these beliefs, you get a synthetic belief distribution a market made entirely of reasoning, not risk.
it reproduces the same shape and variance seen in real trader data from Polymarket and Kalshi
and it runs in minutes not weeks, not millions in survey budgets.
every run is transparent:
•what information each persona received
•how they reasoned
•which anchors were used
•how collective belief shifted
this is not trying to replace prediction markets. we’re just trying to understand them more deeply.
we trade. we participate. we have skin in the game.
this engine exists to expand the field of view
to show what the market might believe if it had infinite participants and perfect information flow.
a new lens for conviction.
a mirror for collective reasoning.
a way to explore the invisible geometry behind every price.
bullish @useperminal
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