Generate 1d, 5d, and 15d target ranges for US equities with confidence breakdowns.
npx skills add https://github.com/kavi-lin/stock --skill short-term-target
Please help me install this Agent Skill. Skill: short-term-target Source: https://github.com/kavi-lin/stock/tree/main/skills/short-term-target Command: npx skills add https://github.com/kavi-lin/stock --skill short-term-target
Provides short-term directional projections for US equities, delivering structured targets and context to inform daily trading decisions with transparency on confidence and risk.
Run the short-term-target forecast for a ticker by invoking the prediction script with the ticker symbol.
High-intent search queries and answers about installing and using this skill.
Short-term stock price targets with confidence intervals are generated by analyzing yfinance OHLCV data, news signals, and sector heat to output 1d, 5d, and 15d directional projections with per-horizon weights.
The short-term forecast includes trading metadata such as ATR-driven stop losses, position size hints, and exit triggers alongside target ranges and central targets to inform practical risk management decisions.
Momentum and sector heat influence short-term equity forecasts by acting as independent weighted signals across 1d, 5d, and 15d horizons, combining with news signals to determine the directional projection confidence breakdown.
You can adjust the independent horizon weights for 1d, 5d, and 15d stock projections by modifying the weights.yaml configuration file, which directly influences the calculated target ranges and confidence breakdowns.
When yfinance OHLCV data is insufficient for stock target analysis, the system guards against stale data by returning an insufficient_data status with explicit reasons explaining the missing inputs.
Short-term directional projections are specifically designed for US equities, leveraging sector heat and yfinance OHLCV data tailored to the US market structure for accurate target range generation.
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