we just dropped our intro video for PredictBack βΆοΈ
what weβre building and how we think about edge, risk, and structure in this space.
if you care about:
- backtesting over vibes
- sizing over guessing
- structure over narratives
this is for you - https://t.co/ait0Cobgz6 ππ
The Federal Reserve just put out an incredible paper about Kalshi's data.
"Our results suggest that Kalshi markets provide a high-frequency, continuously updated, distributionally rich benchmark that is valuable to both researchers and policymakers."
https://t.co/cw5GrDFse6
Prediction markets create a public good: probabilistic truth. Someone has to pay for public goods.
Until now, that's been venture dollars and brave market makers subsidizing liquidity to bootstrap these markets.
Today marks an inflection point.
Polymarket has crossed the threshold where any actor willing to pay for the price discovery of probabilistic truth can now bootstrap a market themselves.
No VC required, no professional market maker needed.
Whenever probabilistic truth is needed, a market for it will survive on organic demand alone.
Volumes, accuracy, and adoption will now increase at a steeper pace.
Polymarket has become permanent infrastructure.
We BUILDING fam!!! ποΈποΈποΈ
added MORE visualization tools based on 30+ GB of data. Plot maker vs. taker trade size, returns over time, and more... data/analysis by @beckerrjon πππ
next up - making it interactive /configurable! βΆοΈ
check it out https://t.co/pNFvQAB9Ze π
fam, we're working on some visualization tools on historical data for you to explore and pair with your backtesting
things like maker/taker comparisons, returns by category, win rate by price - and expanding this data to @Kalshi as well - we think you'll lervvvv it β€οΈ
If you want to analyse and trade prediction markets properly, you need data thatβs normalised, easy to work with and compare. Weβve built that pipeline, and prediction market data is now part of our live and historic market data service, covering Polymarket, Kalshi and Opinion.
according to @datadashboards, @Polymarket has >$12b volume than @Kalshi but $65m less in OI. this means more turnover + less position persistence
polymarket activity dominated by short-horizon trading rt capital being parked
this is where backtesting comes into playπ€
it's the day celebrating love so we are BUILDING
happy valentine's day to all the single hungry prediction market degenerates out there. PredictBack is your palentine this yearβ₯οΈβ₯οΈ let's get itt!!!!