MovieTime

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MovieTime

MovieTime

@MovieTimeDev

health maxi. Angel, investing in the future. Founder @PredictParity

🪐 เข้าร่วม Temmuz 2024
1.2K กำลังติดตาม6.7K ผู้ติดตาม
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MovieTime
MovieTime@MovieTimeDev·
scraping tiktok virality to frontrun political prediction markets.
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Bloomberg
Bloomberg@business·
Kalshi has raised more than $1 billion at a valuation of $22 billion in a new financing round, according to a person familiar with the situation bloomberg.com/news/articles/…
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Parity
Parity@PredictParity·
Prediction Market volume by category (Feb 16 - Mar 15) Total Notional Volume $19.18b 1. Sports 53.2% 2. Crypto 19.9% 3. Politics 16.1% 4. Other 5.3% 5. Culture 1.7% 6. Business 1.6% 7. Economy 1.1% 8. Weather 0.8% 9. Tech 0.3%
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yellowpanther 黄豹 💎
yellowpanther 黄豹 💎@yellowpantherx·
Prediction markets will become a norm in a few years time. Polymarket. Kalshi. Predict Fun. Limitless. Myriad. Opinions. No matter the platform. We’re still very early and I want to start a closed group for active people. Who wants in? 🤝
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MovieTime
MovieTime@MovieTimeDev·
some questions on our methodology. "93% accurate" means that prediction matched the actual outcome 93% of the time So a market trading at 70¢ that resolves YES = correct. A market trading at 70¢ that resolves NO = incorrect. It's the simplest possible accuracy measure. It doesn't capture how confident the market was (that's what Brier score does), just whether it was pointing in the right direction.
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Parity
Parity@PredictParity·
Prediction Market Accuracy By Category 181,333 resolved markets across Kalshi & Polymarket. We compared the differences in accuracy over time. Findings: -Weather markets on Kalshi are 81.7% accurate 1 day out, but in the final 4 hours it jumps to 96.8% accuracy right before resolution. -Entertainment is the most consistent category across both platforms -Politics has the biggest cross platform gap
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Stacy Muur
Stacy Muur@stacy_muur·
14/20 most profitable traders on @Polymarket are bots. The team that builds a proper agentic infrastructure layer for prediction markets will easily be a billion-dollar project.
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dash
dash@datadashboards·
As one of the prediction market data guys, I thought I'd drop some additional context: @Kalshi's number whilst outlandish is likely not far off the mark. If you apply Kalshi's documented fee structure to their exposed taker trades you get to ~$118M. The flat 1% fee assumption the author made is likely even more accurate if you believe most of Kalshi's flow comes through @RobinhoodApp - on Robinhood you can only place taker orders, with a flat $0.01 fee per contract routed to Kalshi. At that structure, 1% of notional is the right approximation. Kalshi's 30-day notional: $11,004,380,330. There is some under-representation in onchain prediction market fees too. Most people track prediction market fees by only looking at dollar/stablecoin fees, when nearly all onchain PMs also collect fees denominated in shares. If I'm not mistaken, most of this data comes from @DefiLlama, who currently measure fees this way. For liquid venues, share fees can be valued at the time of trade. There will be some discrepancy given tokens resolve to either 0 or 1, but imo it's a more accurate picture than excluding them entirely. Many prediction markets will also merge opposing shares to redeem collateral before resolution, so you can expect venues like @Polymarket, @predictdotfun and @trylimitless to show higher actual fees once you account for this. Predict is running ~40% higher. Polymarket closer to ~80%. Finally, @opinionlabsxyz launched a 50% maker rebate program 3 days ago, meaning a significant portion of daily USDT fees is now being routed back to users. Current dashboards don't fully reflect this yet - minor discrepancy for now, but worth flagging.
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Parity@PredictParity

Prediction markets revenue* (last 30) 1. @Kalshi $110m 2. @Polymarket $4.2m 3. @cryptocom $4.1m 4. @opinionlabsxyz $1.3m 5. @trylimitless $1.1m 6. @IBKR $597k

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Shaw (spirit/acc)
Shaw (spirit/acc)@shawmakesmagic·
I deleted it because I had a better banger for it. "Inappropriate" You are defaming us in public. You'll be hearing from my lawyers. You are amoral people who attack founders of projects. Did you know that I had 0% of supply until it was donated to me? Llke what are you even doing? Suck my dick.
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MovieTime รีทวีตแล้ว
Parity
Parity@PredictParity·
Prediction markets are onboarding *273,908+ new users every month The retention is what's interesting 50.2% stay more than 1 month 30% stay more than 3 months
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Mick Bransfield
Mick Bransfield@MickBransfield·
@dan_bernstein_ There's been detailed analysis that shows a large percentage of polymarket volume is wash trading in anticipation of an airdrop. I don't remember where off the top of my head (it's definitely on my timeline) but you should be able to find it easily online
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ₕₐₘₚₜₒₙ
ₕₐₘₚₜₒₙ@hamptonism·
I think I’ll be in New York soon for some tech conferences .
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Mick Bransfield
Mick Bransfield@MickBransfield·
We've hit 900 prediction markets. 1) This is resembling 2010 when everyone was building a "Social Network for X" because Facebook was successful, completely ignoring the network effect. 2) The growth in apps & tools (for Kalshi & Polymarket) deserves more attention.
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Car
Car@CarOnPolymarket·
I just hit $1,000,000 PNL on Polymarket! It all started with a $500 deposit 2 years ago Huge milestone. 2M is next poly.market/user/Car
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threadguy
threadguy@notthreadguy·
i’ve been studying geopolitics for three days now and its not looking great
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