# Compare NVDA and TSLA Stock Sentiment

**Use case:** 

Compare NVDA and TSLA sentiment with mention counts, scores, upvotes, momentum signals, source communities, and collection timestamps.

## Input

```json
{
  "mode": "specific_tickers",
  "filterType": "all-stocks",
  "tickers": [
    "NVDA",
    "TSLA"
  ],
  "sources": [
    "wallstreetbets",
    "stocks",
    "investing"
  ],
  "maxResults": 2,
  "includeCrypto": false
}
```

## Output

```json
{
  "ticker": {
    "label": "Ticker",
    "format": "text"
  },
  "name": {
    "label": "Name",
    "format": "text"
  },
  "rank": {
    "label": "Rank",
    "format": "number"
  },
  "mentions_24h": {
    "label": "Mentions 24h",
    "format": "number"
  },
  "mention_change_pct": {
    "label": "Mention Change Pct",
    "format": "number"
  },
  "sentiment_signal": {
    "label": "Sentiment Signal",
    "format": "text"
  },
  "upvotes_24h": {
    "label": "Upvotes 24h",
    "format": "number"
  },
  "source": {
    "label": "Source",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [📈 Stock Sentiment Intelligence - Reddit Buzz Tracker](https://apify.com/benthepythondev/stock-sentiment-intelligence) with a specific input configuration. Visit the [Actor detail page](https://apify.com/benthepythondev/stock-sentiment-intelligence) to learn more, explore other use cases, and run it yourself.