> For the complete documentation index, see [llms.txt](https://uliquid-1.gitbook.io/uliquid-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://uliquid-1.gitbook.io/uliquid-docs/price-forecasts-and-ai-predictions.md).

# Price Forecasts and AI Predictions

Create and review uncertain price forecasts through the current AI Predictions workflow.

The current feature is labelled **Predictions** in uLiquid Desk. It creates structured AI or local prediction outputs for a selected market and timeframe. Treat these outputs as probabilistic forecasts, not as promises about a future price.

## Generate a First Prediction

1. Open **Predictions** and start the available creation flow.
2. Select the market type, symbol, and timeframe.
3. Choose the available analysis configuration and review the scope and settings.
4. Generate the prediction.
5. Review its direction, expected movement, confidence, rationale, tags, and any freshness or degraded-data notice.

Depending on availability, the workflow can show local, AI, or combined analysis. Feature access and capacity can depend on your plan, role, and current environment.

## Use the Result Carefully

* Confidence expresses model output, not certainty.
* Historical outcomes and performance views are context, not a guarantee of future performance.
* Creating a prediction does not send an order. Any separate automation must be configured and reviewed in the Bot interface.
* A prediction can prefill a Trading Desk review; you still check and confirm any manual order separately.

{% hint style="warning" %}
Forecasts represent probabilistic model outputs and should not be interpreted as guaranteed future prices or financial advice.
{% endhint %}

{% hint style="info" %}
TODO: Add a verified current screenshot of the Predictions creation and result views when sanitised captures are available.
{% endhint %}

For the relation between predictions, strategies, and automation, see [Signals and Automation](https://github.com/eds-labs/uLiquid-Desk/tree/main/docs/user-guide/signals-and-automation.md).


---

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