Advanced Sentiment Dynamics

Implementation Details

Class Names

Model Name	Parameters Class	Data Class
AdvancedSentimentDynamics	SentimentDynamicsQueryParams	SentimentDynamicsData

Import Statement

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

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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.