# Advanced Sentiment Dynamics

**Implementation Details**

**Class Names**

| Model Name                | Parameters Class             | Data Class            |
| ------------------------- | ---------------------------- | --------------------- |
| AdvancedSentimentDynamics | SentimentDynamicsQueryParams | SentimentDynamicsData |

**Import Statement**

```python
pythonCopyEditfrom satoshi_terminal.models.advanced_sentiment_dynamics import (
    AdvancedSentimentDynamics,
    SentimentDynamicsQueryParams,
    SentimentDynamicsData,
)
```

***

**Parameters**

| Name              | Type                    | Description                                                      | Default | Optional |
| ----------------- | ----------------------- | ---------------------------------------------------------------- | ------- | -------- |
| asset\_class      | Union\[str, List\[str]] | Asset class(es) for sentiment analysis (e.g., tokens, NFTs).     | None    | False    |
| sentiment\_source | List\[str]              | Sources to include (e.g., "Social Media," "News").               | None    | True     |
| analysis\_depth   | int                     | Depth of analysis, determining granularity of sentiment scoring. | 5       | True     |

***

**Data**

| Name                  | Type         | Description                                         |
| --------------------- | ------------ | --------------------------------------------------- |
| asset\_class          | str          | Asset class being analyzed for sentiment dynamics.  |
| sentiment\_score      | float        | Overall sentiment score (range: -1 to 1).           |
| source\_contributions | dict         | Contribution of each source to the sentiment score. |
| sentiment\_trend      | List\[float] | Historical trend of sentiment scores over time.     |
| timestamp             | datetime     | Timestamp of the sentiment analysis.                |

***

**Key Features**

* **Source-Specific Sentiment Scoring:** Analyzes individual contributions from social media, news, and forums.
* **Trend Analysis:** Tracks sentiment changes over time and correlates them with market activity.
* **Asset-Specific Sentiment Mapping:** Provides granular insights into how different asset classes are perceived.


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