Cornelius

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Cornelius

Cornelius

@Fink_Big

Learning / Building

Katılım Ağustos 2014
599 Takip Edilen390 Takipçiler
Cornelius
Cornelius@Fink_Big·
(3/3) The core thesis is still the same: Polymarket prices have never been used as IV signals. Alongside Deribit and Derive, the divergences are now more meaningful, you're comparing crowd vs market-maker vs AI forecasts. Next: Telegram alerts when edge > 10%. 🚀🚀🚀
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Cornelius
Cornelius@Fink_Big·
Other things that shipped this week (2/3): ➡️ First-passage pricing: BSM barrier model for "Will BTC hit X?" Polymarket markets ➡️ Market microstructure layer: OBI, RSI, EMA cross, VWAP all feed into a direction score (-10 to +10) shown on every signal, so you know if the technicals agree with the arb ➡️ Backtest engine: Kelly-sized bankroll simulation + edge distribution across all detected signals
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Cornelius
Cornelius@Fink_Big·
Shipping update on my @SynthdataCo hackathon build 🧵 (1/3) Since Monday I've added @DeribitExchange as a 4th vol source. The terminal now shows a true four-way implied volatility comparison: @DeribitOfficial + @DeriveXYZ + @SynthdataCo + @Polymarket, all on the same chart. No other tool does this.
Cornelius@Fink_Big

For the @SynthdataCo hackathon I'm building a volatility intelligence terminal for options traders, comparing implied volatility across three independent sources: @SynthdataCo forecasts, @DeriveXYZ options markets, and @Polymarket prediction markets. The novel approach: inverting Polymarket YES/NO prices through BSM to extract implied volatility. Prediction market prices have never been used as an IV signal this way. Placed alongside Derive's options smile and SynthData's AI forecasts, traders can instantly spot divergences and get actionable signals. Next steps: Telegram alerts and a full backtesting engine.

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Cornelius
Cornelius@Fink_Big·
For the @SynthdataCo hackathon I'm building a volatility intelligence terminal for options traders, comparing implied volatility across three independent sources: @SynthdataCo forecasts, @DeriveXYZ options markets, and @Polymarket prediction markets. The novel approach: inverting Polymarket YES/NO prices through BSM to extract implied volatility. Prediction market prices have never been used as an IV signal this way. Placed alongside Derive's options smile and SynthData's AI forecasts, traders can instantly spot divergences and get actionable signals. Next steps: Telegram alerts and a full backtesting engine.
Cornelius tweet media
Synthdata@SynthdataCo

$20,000 in prizes. Full API access. Hackathon starting soon. Leverage Synth's predictive intelligence to build tools across: → Prediction Markets → Options → Equities Sign up and start building. dashboard.synthdata.co/hackathon/

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Lirratø
Lirratø@itslirrato·
I told myself I wouldn't take free money again But... Polymarket is offering +30% for a shutdown Do people actually think Dems approve budget after the Minneapolis situation? Please don't take this bet here: polymarket.com/event/will-the…
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CJ (晨杰)
CJ (晨杰)@cjhtech·
Market: How much revenue will the US raise from tariffs in 2025? @Kalshi $160k in volume 🥉 @trylimitless $800k in volume 🥈 @Polymarket $1.05M in volume 🥇 When you deduct Kalshi's sports flow which comes from Robinhood, the prediction market landscape looks very different. Limitless is just one distribution deal away from being a multi-billion dollar company.
Dustin Gouker@DustinGouker

Here's a pretty good example of how small non-sports markets are at Kalshi. On Wednesday, there was $202 million in trading volume at Kalshi. The volume on two NBA games was about the same as the volume on EVERYTHING ELSE COMBINED. John Wang effect. Wednesday by category:

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Cornelius retweetledi
Clem
Clem@0xClemm·
This is our latest piece, where we explore what the future may look like for price Prediction Markets (eg "will BTC > 100k in 1 day?"). We cover liquidity challenges, AMM vs CLOB, and opportunities for market-makers and traders
Ranger Global@Ranger_Global

x.com/i/article/2008…

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Cornelius
Cornelius@Fink_Big·
@64s @Ranger_Global Good point. I would say there is less path dependence risk as the payoffs of prediction markets are fixed and not influenced by volatility etc.
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64s
64s@64s·
@Ranger_Global very interesting - is there a bigger 'path dependence' risk with the prediction market play? obviously looks great in this one example
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