LAVA: Investor Sentiment Engine

Primary Role:

The emotional radar of the platform, constantly scanning millions of conversations to detect bullish or bearish sentiment before it shows in charts.

Core Capabilities:

Social Listening:

• Monitors X (Twitter), Telegram, Discord, Reddit, TikTok, YouTube comments.

• Filters out spam, bot chatter, and irrelevant noise.

Sentiment Scoring:

• Assigns Bullish, Neutral, or Bearish tags per token.

• Detects narrative momentum shifts in real time.

Emerging Trends Detection:

• Identifies tokens gaining traction in niche communities.

• Picks up on memes and slang before they go mainstream.

Market Sentiment Heatmap (Phase 2):

• Displays aggregated sentiment by chain, sector, or theme.

Workflow Example:

• A meme coin starts trending on TikTok crypto influencers’ streams.

• ⁠LAVA AI flags rising positive sentiment despite no price movement yet. Pings Sentinel to verify on-chain activity before alerting.