> For the complete documentation index, see [llms.txt](https://docs.waveform.finance/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.waveform.finance/advanced-features/social-media-monitoring.md).

# Social Media Monitoring

<figure><img src="/files/VoQOZaUpC5953InqdwDv" alt=""><figcaption></figcaption></figure>

#### **Social Media Monitoring**

Social media plays a critical role in cryptocurrency trading, where trends and sentiment can drive market behavior. Waveform’s **Social Media Monitoring** feature allows agents to track relevant signals from platforms like Twitter and Telegram to inform trading strategies.

***

**Features of Social Media Monitoring**

1. **Real-Time Data Collection**:
   * Waveform agents continuously monitor specified accounts, hashtags, and channels to capture real-time sentiment and discussions.
   * Integrates with **Twitter APIs** to analyze tweets, retweets, and mentions.
   * Scrapes **Telegram groups** for critical market discussions and signals.
2. **Customizable Signal Sources**:
   * Users can specify:
     * Influencers (e.g., `@crypto_influencer`).
     * Keywords (e.g., “Solana”, “#BTC”).
     * Telegram groups or channels.
3. **Sentiment Analysis**:
   * LLMs like GPT-4 analyze the collected data to determine:
     * Positive or negative market sentiment.
     * Emerging trends.
     * Potential market-moving events.
4. **Trend Detection**:
   * Identifies spikes in activity or sentiment around specific coins or topics, signaling potential trading opportunities.

***

**How to Use Social Media Monitoring**

1. **Configure Signal Sources**:
   * Go to the "Social Signals" section in the agent setup form.
   * Add accounts, hashtags, or keywords you want the agent to monitor:

     ```json
     {
       "twitter_sources": ["@crypto_influencer", "@trading_news"],
       "telegram_groups": ["crypto-signals", "solana-traders"]
     }
     ```
2. **Enable Sentiment Analysis**:
   * Turn on sentiment tracking in the agent’s dashboard.
   * Example: Focus on keywords associated with positive sentiment for "Solana."
3. **View Signal Insights**:
   * Check the "Signal Dashboard" to see:
     * Latest tweets or messages related to your configured sources.
     * Sentiment trends (positive, neutral, or negative).
     * Real-time alerts for major spikes.
4. **Optimize Trading Based on Signals**:
   * Adjust the agent’s trading thresholds based on social signal trends.
   * Example: Increase the trade volume when sentiment for a tracked coin is highly positive.

***

**Best Practices**

* **Monitor Influencers with Market Impact**: Choose accounts or groups known for driving cryptocurrency sentiment.
* **Focus on Trending Hashtags**: Track hashtags like `#Solana`, `#Altcoins`, or `#CryptoNews` for market movements.
* **Use Telegram for In-Depth Insights**: Telegram groups often have detailed discussions and early signals for new coin launches.