us-stocks-analysisv2.4.0

Retail investors use Capability 1 to get a quick, synthesized briefing on a stock before making a trade decision, combining price, sentiment, insider activity, analyst targets, and AI insights. This saves time compared to checking multiple separate data sources.

Hedge fund analysts use Capability 2 weekly to identify stocks where insider cluster buys, congressional purchases, and analyst upgrades converge. This workflow helps surface high-conviction trade ideas that are rare across data sources.

Quantitative traders use Capability 3 to find stocks where price and sentiment diverge, generating mean-reversion trade signals. The script automates scanning popular stocks and ranking divergence strength.

Equity researchers use Capability 4 to assess sentiment and insider activity ahead of a company's earnings report. The synthesis provides a snapshot of whether smart money is bullish or bearish before the event.

Wealth managers integrate Capability 1 and 4 into their client reporting dashboard to provide recurring briefings on held positions. Automated alerts for divergence or insider clusters help proactively adjust allocations.

SentiSense operates a subscription-based API with a free tier (1,000 req/month) and a paid PRO plan ($15/mo) that increases quotas and unlocks historical data. Revenue comes from monthly or annual subscriptions.

The skill package can be licensed as a white-label analytics module for brokerages, trading platforms, or financial data terminals. SentiSense charges per integration or per API call volume.

The skill package is published in an AI agent marketplace (e.g., OpenClaw), where agents can subscribe or pay per-use. SentiSense could charge a one-time listing fee or a revenue share per API call triggered by agents.