> For the complete documentation index, see [llms.txt](https://docs.blocklensai.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.blocklensai.com/introduction/keyfeatures.md).

# Key Features

Blocklens AI is built as a **next-generation AI trading infrastructure**, designed to scan, analyze, and act on the futures market with unmatched precision.\
Every signal, every setup, and every feature is focused on one goal: **turning raw market data into reliable, risk-managed opportunities**. 

*Here’s what makes Blocklens AI powerful* ⮯ 

### AI-Powered Signals 

Blocklens AI fuses traditional technical indicators, candlestick pattern recognition, and machine learning models to generate precise long/short trading signals that adapt in real time to market conditions.

* Adapts in **real time** to market volatility.
* Filters out **weak setups**, delivering only high-quality trades.
* Ensures traders get signals that are both **accurate** and **actionable**.
* Eliminates human bias and guesswork.

***

### Risk Management 

Every signal includes a **complete trading setup**:

* **Entry Zone** (precisely calculated by AI).
* **Stop-Loss** to cap downside.
* **Take-Profit Levels** (multi-step exits).
* **Leverage Recommendation** (auto-adjusted by signal confidence).
* **Risk Metrics** → Liquidation zone, R/R ratio, SL % vs TP %.

This ensures every trade comes with **structured risk management**, not just raw entry points.

***

### Token-Gated Access

Blocklens AI signals are **exclusive to token holders**.

* **Holder Access** → Unlimited premium signals across all perpetual futures pairs.

This model creates a **fair reward loop** where community members gain direct value from the AI system.

***

### Chart Intelligence

Users can select any supported token pair, and Blocklens AI analyzes it using technical indicators, candlestick patterns, and historical backtesting. The AI then delivers a clear, actionable report, turning complex market data into easy-to-follow trading insights.

* Choose any supported token pair for analysis.
* AI evaluates indicators, patterns, and historical trends.
* Generates clear, actionable chart reports.
* Provides fast, data-driven insights without manual effort.

***

### Customizable Signals

Holders enjoy a **multiple-signal** delivery system.

* **Custom Alerts** → Receive notifications for specific trading pairs.
* **Select Up to 8 Pairs** → Monitor multiple markets at once.
* **Choose Different Timeframes** → Get signals tailored to your preferred trading intervals.

Signals are delivered via **Telegram**, so traders **never miss a setup**.

***

### **Exchange Support**

<figure><img src="/files/iUglSwZMbUYev8l3Bl52" alt=""><figcaption></figcaption></figure>

{% hint style="success" %}
**Blocklens AI has full MEXC Futures API integration, giving holders access to all perpetual pairs listed on MEXC.**
{% endhint %}

* Access all MEXC perpetual futures pairs with real-time updates. (*Over +800 pairs*)
* Instantly refreshes <mark style="color:red;">**newly listed futures pair**</mark> and send notification to give user fast oppurtunity.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://docs.blocklensai.com/introduction/keyfeatures.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.