# Create a smart alert

## Overview

A **smart alert** notifies you as soon as a condition you've defined is met. Unlike a classic price alert, it can combine **multiple heterogeneous signals**: prices, technical indicators, news, earnings reports, tweets, macroeconomic data…

You describe the condition in natural language, Obside creates the agent that watches continuously, and sends you the notification at the precise moment it triggers.

## How to phrase your request

Specify **what should trigger the alert** and, ideally, **in which context**. The more specific the condition, the fewer false alerts you'll get.

{% hint style="success" %}
Don't hesitate to **combine multiple filters** (technical + fundamental + price action) to only trigger the alert in truly interesting contexts.
{% endhint %}

## Example requests

{% hint style="info" %}
**Example #1 — Earnings + price filter**

"Alert me if Apple beats earnings AND gives guidance above consensus AND the stock doesn't move more than 4% up in after-hours."
{% endhint %}

{% hint style="info" %}
**Example #2 — RSI divergence + trend filter**

"Alert me on a bullish RSI divergence on the daily of MSFT with price above the EMA 200."
{% endhint %}

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**Example #3 — Multi-timeframe confirmation**

"Alert me if SPY shows a bullish MACD crossover on 1H while the daily RSI is above 50."
{% endhint %}

***

## Channel setup

When activating the alert, Obside will ask you for at least one delivery channel: **email, Telegram, WhatsApp or push notification**. You can enable several in parallel.

See [Notification channels](/alerts-and-notifications/channels.md) for setup details.


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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.obside.com/obside-chat/get-alerted/create-a-smart-alert.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.
