A prediction market showing 70%.... it doesn’t necessarily mean you have a strong 70% forecast signal.
What about the spread?
Liquidity?
Volume?
Recency?
Order book depth?
Raw prices are only the beginning...
In our new article... we show how to turn prediction market data into probability time series, signal-quality metrics, event alerts, and model-ready datasets using FinFeedAPI.
From market prices → to usable forecast signals.
Read the full article:
finfeedapi.com/blog/predictio…#PredictionMarkets#MarketData#Polymarket#Kalshi#API#AlternativeData
The right financial data can still produce the wrong AI answer...
❌ A filing date is not a reporting period
❌ A prediction market is not just a probability
❓ A ticker without exchange context can be ambiguous
❗ AI agents need data they can interpret, trace, and verify.
We explored what that means for FinFeedAPI and how the problem extends across financial data infrastructure.
Want to read more?
→ FinFeedAPI: Why AI Agents Need Context, Not Just Financial Data: lnkd.in/dr-_qYCfhttps:…
→ APIBricks: Why Most Financial Data APIs Break AI Agents: apibricks.io/blog/why-most-…
→ CoinAPI: Why AI Agents Need More Than a Market Data API: lnkd.in/dDUdpF89https:…
Data without context isn't useful...
A prediction market showing 64% tells you where the probability is now...
... but it doesn't tell you how it got there.
❓ Was it one thin trade?
❓A gradual repricing?
❓Did liquidity shift?
❓What happened around the move?
That’s why serious prediction market research needs more than the latest price.... OHLCV. Trades. Quotes. Order books. Historical activity.
With FinFeedAPI, you can look beyond the probability and understand the market behind it:
finfeedapi.com/blog/predictio…#PredictionMarkets#MarketData#Data
A prediction market moves from 42% → 68%...
But what happened in between?
When did activity change?
When did the market close?
Which outcome were you tracking?
What happened to its price before resolution?
That is why a prediction market is more than a probability... It has a lifecycle...
We built a practical guide to tracking that lifecycle with @FinFeedAPI... from market discovery to the final historical record ↓
finfeedapi.com/blog/from-mark…#PredictionMarkets#orderlifecycle
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