Signal Fusion Across Market + Social + On-Chain Data
AGENFI's edge lies in its ability to fuse data streams from traditionally siloed domains — combining market data, social sentiment, and on-chain analytics to generate high-confidence trading signals.
Rather than relying on a single indicator, AGENFI aggregates insights from multiple intelligence layers, allowing its AI engine to assess context, detect confluence, and deliver multi-source validated alerts.
🔗 Three Data Streams AGENFI Fuses
📊 Market Data
Price action
Volume surges
Volatility spikes
Liquidity trends
💬 Social Sentiment
Twitter mentions
Engagement volume
Emotional tone (bullish/bearish)
Trend velocity
🔗 On-Chain Activity
Whale transactions
Smart contract interactions
Token creation/burn events
Wallet clustering behavior
🤖 Fusion Engine Workflow
Each data stream is monitored and analyzed in real time by its specialized AI agent.
Relevant indicators are weighted and passed to a Fusion Layer.
The Fusion Layer evaluates correlations, pattern overlaps, and anomalies.
If a confluence exists (e.g., whale buying + bullish sentiment + breakout), a signal is generated.
The Signal Agent finalizes the output: action, timing, and confidence level.
Last updated