Advanced Sentiment Dynamics
Implementation Details
Class Names
AdvancedSentimentDynamics
SentimentDynamicsQueryParams
SentimentDynamicsData
Import Statement
pythonCopyEditfrom satoshi_terminal.models.advanced_sentiment_dynamics import (
AdvancedSentimentDynamics,
SentimentDynamicsQueryParams,
SentimentDynamicsData,
)Parameters
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
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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