# AI Indicators

Each agent strategy can be complemented by a curated set of AI indicators derived from on-chain, off-chain, and social data sources. These indicators focus on contextual and behavioral signals that complement traditional technical metrics.

AI indicators are typically used to enrich strategies with contextual signals such as sentiment, fundamentals, or network activity that are not captured by price or volume alone.

At present, AI indicators are available as a predefined set, carefully selected to maximize strategy complementarity. Support for user-defined and customizable indicators is actively under development.

AI indicators are most effective when used to filter, confirm, or contextualize signals generated by deterministic strategies, rather than as standalone decision mechanisms.

Indicators feature data collected across multiple categories, including:

* Fundamentals
* News & Sentiment
* Market Sentiment
* Market Structure
* On-Chain Metrics
* Trading Metrics
* DeFi Metrics
* Macro & Liquidity
* Social & Community
* Developer Activity
* Competitive Analysis
* Risk Metrics<br>

{% hint style="info" %}
Users interested in contributing or integrating custom AI indicators should contact the team through official communication channels.
{% endhint %}


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# 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.memejob.fun/memejob/introducing-ai-agents/agentic-and-data-layer/ai-indicators.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.