social-media-intelligence

Financial sentiment signals can be collected from Twitter/X, Telegram, Discord, and Reddit by implementing cross-platform data pipelines with defined schemas that normalize the feeds into actionable trading intelligence.

Real-time social media sentiment monitoring for earnings and macro events is achieved through streaming data pipelines that apply platform-weighted aggregation and sentiment scoring to interpret ongoing market reactions.

VADER, FinBERT, and LLM-based models are all supported scoring options for analyzing crypto and stock sentiment, allowing you to choose the precision level needed for your cross-platform data aggregation.

Historical sentiment data can be backfilled from Reddit and Discord using periodic backfill pipelines that process past social signals, ensuring continuous sentiment tracking for ongoing market analysis.

Multiplatform social media sentiment collection respects data privacy and compliance rules by implementing defined schemas and pipelines that govern how financial signals are extracted and processed across platforms.