Most teams use prediction markets wrong...
They look at a probability and stop there... "There's a 67% chance of X happening."
... Interesting... but not particularly useful.
The real signals often sit underneath the probability:
• Is liquidity increasing or disappearing?
• Are traders becoming more active?
• Are order books becoming one-sided?
• Are different exchanges pricing the same event differently?
• Is the market repricing gradually or all at once?
These questions matter if you're building forecasting models, monitoring business risks, researching market behavior, or developing AI agents.
In our latest article, we break down how analysts can use prediction market data beyond simple probabilities and which datasets are actually useful for different types of analysis.
Read the full article below 👇
finfeedapi.com/blog/how-can-c…
Prediction markets are getting an upgrade 👀
#Hyperliquid’s #HIP-4 brings outcome markets into a real trading engine... merged order books... deeper liquidity and better infrastructure for builders.
Not just “Will X happen?” anymore.
Now it’s market microstructure.
And yes, we compared Hyperliquid vs Polymarket vs Kalshi in the table 😅
#PredictionMarkets
@blckchnmaster but the bigger these markets get, the more questions appear around regulation, manipulation, and whether they’re finance, gambling or something entirely new
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