us-stock-analyzerThree-factor stock analysis combining DCF valuation, Livermore trend trading rules, and VIX market sentiment to generate high-confidence buy signals for US e...
Install via ClawdBot CLI:
clawdbot install lyflyd/us-stock-analyzerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/yourusername/us-stock-analyzerAudited Apr 18, 2026 · audit v1.0
Generated May 21, 2026
An individual investor uses the tool to screen US stocks for high-confidence buy signals by combining DCF valuation, trend analysis, and VIX sentiment. The automated three-factor system saves hours of manual research and provides clear entry points with confidence levels.
A swing trader leverages the Livermore trend rules and VIX sentiment to generate trade signals with precise entry and exit zones. The system helps identify breakout patterns with volume confirmation and provides stop-loss levels based on support/resistance.
A hedge fund analyst uses the sentiment factor (VIX < 25, percentile < 70%) as a market regime filter to avoid buying during panics. The composite score thresholds ensure only multi-factor aligned opportunities are considered, reducing false signals.
Finance students can learn DCF valuation, trend following, and market sentiment analysis through the tool's modular scripts. The config.yaml allows experimenting with different weights and thresholds to understand their impact on buy signals.
A robo-advisor integrates the three-factor engine to rebalance portfolios by generating buy signals for underweight positions. The composite score > 70 triggers automated buys, while risk assessment outputs inform position sizing adjustments.
Offer the stock analyzer as a cloud-based service with monthly/annual subscription. Users access the analysis via a web UI or API, with tiered plans based on number of stocks analyzed per month.
License the three-factor engine as an API to online brokers and trading platforms. Brokerages integrate the buy/sell signals into their dashboards, paying per API call or a flat annual fee.
Create detailed weekly/monthly research reports for institutional investors. Reports include a curated list of top buy signals with full factor breakdowns, target prices, and risk analysis.
💬 Integration Tip
The tool requires minimal setup; ensure FMP_API_KEY is set for full functionality, and modify config.yaml to adjust factor weights and thresholds as needed.
Scored Jun 29, 2026
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