# Market Predictions

yPredict.ai Market Predictions platform is an open platform to check coins/securities price predictions at no cost. These predictions are generated through our in-house developed predictive models and selected marketplace developer's model. These free predictions aim to showcase endless possibilities for analyzing price trends through AI/ML-driven tools on yPredict platforms.

Many financial information websites and blogs offer predictions but do not disclose the source of predicted values, method of predictions, and status of their prediction authenticity.   &#x20;

### Prominent features of Market Predictions by yPredict&#x20;

{% hint style="success" %}
Open (no login required) and free-forever platform
{% endhint %}

{% hint style="success" %}
Publicly available price predictions for thousands of coins&#x20;
{% endhint %}

{% hint style="success" %}
&#x20;Predictions generated through state-of-art financial prediction methods
{% endhint %}

<figure><img src="https://1463087218-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fxb2phkXj2a1Ob9iygWcN%2Fuploads%2FSac2NReAVDieflYAa59v%2FiPad%20in%20the%20hands%20of%20an%20African-American%20woman%20in%20the%20office_Screenshot_1.png?alt=media&#x26;token=54838a16-a30e-4083-864b-3350e3070a41" alt=""><figcaption><p>Mockup for Market Prediction website by yPredict.ai</p></figcaption></figure>

### Business Model&#x20;

Market Predictions App aims to target crypto traders looking for predictions. This platform will serve as a source of inbound traffic for yPredict ecosystem. Providing visitors with free predictions as a preview of yPredict platform core offerings such as Analytics and Marketplace.&#x20;


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.ypredict.ai/product-and-offerings/market-predictions.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
