Use Case 2: Anticipating Market Shifts Through On-Chain Sentiment Tracking

Z4R0 agents tap into token-specific sentiment data, like keyword spikes or social engagement, to rebalance exposure before price action begins. These agents don’t follow the market. They respond to signals that precede it.

Agent Behavior:

• Parse Twitter/Discord data for keyword velocity

• Track rising sentiment scores around target assets

• Adjust exposure based on pre-set “hype bias” levels

• Temporarily reduce exposure if volatility risk spikes