AI tools for prediction-market analysis
The team needed a controlled way to collect market signals, compare prices with scenario estimates and apply consistent evaluation rules across a large number of events.
Anonymized client projectThe visual is a reconstruction of the implemented system. Markets, data and results are withheld; no profitability claim is made.
Constraints
- Market data can be incomplete, delayed or change before an action is executed.
- No estimate can guarantee an outcome or profit.
- Risk limits and stop conditions must run before any action.
- Every signal and decision needs an audit log for later review.
Solution
- A pipeline for collecting and normalizing market and external data.
- Scenario evaluation with visible factors, thresholds and uncertainty levels.
- A rules module for limits, validation and controlled execution.
- Logs for signals, rejected scenarios, actions and integration health.
What was delivered
- The system compares data and scenario estimates in one inspectable workflow.
- Risk rules run before a signal moves to the next stage.
- The team can review why a particular scenario was accepted or rejected.