How is PredictHQ different from OpticOdds?
OpticOdds sells low-latency odds infrastructure, largely to businesses. That is the closest thing to what our ingestion layer does. The difference is what sits above it: we are not only moving prices around, we are pricing them and taking positions on them.
Choose OpticOdds when
You need the fastest, broadest raw feed you can buy and you have your own modelling team. That is what they are for, and they are good at it.
Choose PredictHQ when
You want the model and the execution as well as the feed.
What we have that they do not
- ✓De-vigged fair value on every market
- ✓Calibration: how well past probabilities held up
- ✓Automated positions with risk limits
- ✓Paper trading before real money
- ✓Evidence recorded next to every decision
- ✓Prediction markets alongside sportsbooks
Where OpticOdds is ahead
Listed because you would find out anyway, and better from us.
- ✓Low-latency odds feed
- ✓WebSocket push
Feature by feature
A tick on our side means it is shipped and the file that backs it is named. A dash means we do not do it.
| Feature | PredictHQ | OpticOdds |
|---|---|---|
|
Low-latency odds feed
Their latency is a product guarantee. Ours is an engine still being built. |
— | ✓ |
|
WebSocket push
Planned per book where the book offers one. |
— | ✓ |
|
Historical archive
OddsSnapshot |
✓ | ✓ |
|
De-vigged fair value on every market
A raw price includes the book's margin. Every honest edge compares against the fair number, not the quoted one. app/Support/ — de-vig and fair price, with FairPrice recorded per selection |
✓ | — |
|
Calibration: how well past probabilities held up
A model that says 70% should be right about 70% of the time. Without this the number is an opinion. CalibrationBucket model + /api/v1/calibration |
✓ | — |
|
Automated positions with risk limits
Bankroll cap, position cap, daily loss limit, and a global stop that outranks all of them. app/Services/trading/ — judgement, execution, reconciliation, positions |
✓ | — |
|
Paper trading before real money
A strategy has a track record before it has money behind it. TradingStrategy paper mode — same decisions, same limits, simulated fills |
✓ | — |
|
Evidence recorded next to every decision
Why the engine did what it did, kept whether or not the trade worked. DecisionEvidence + TradeDecision models |
✓ | — |
|
Prediction markets alongside sportsbooks
Order-book probabilities next to bookmaker prices, in the same units. app/Services/prediction-markets/ — Kalshi and Polymarket clients |
✓ | — |
Pricing
OpticOdds
Enterprise feed pricing, negotiated.
PredictHQ
Flat monthly by tier, self-serve.
Questions
Can PredictHQ be used purely as a feed?
Yes, through /api/v1 with an API key. But if all you need is a feed, a dedicated feed vendor will likely serve you better than we will.