Analyze post-earnings results against investment theses with a 6-step output format.
npx skills add https://github.com/luiseiman/dotforge --skill earnings-watch
Please help me install this Agent Skill. Skill: earnings-watch Source: https://github.com/luiseiman/dotforge/tree/main/stacks/trading/skills/earnings-watch Command: npx skills add https://github.com/luiseiman/dotforge --skill earnings-watch
Post-earnings updates are time-sensitive and require fast synthesis of new results against investment theses. This Skill streamlines collecting fresh data, assessing beats/miss, and communicating thesis impact in concise format.
Publish a concise Earnings Watch within 24 hours of earnings and cite all data sources in the requested output format.
High-intent search queries and answers about installing and using this skill.
To analyze post-earnings results, compare quarterly beats or misses, guidance changes, and management commentary against your investment thesis. This process synthesizes fresh data into a structured format to support portfolio decisions.
Tracking earnings impact on CEDEARs requires assessing post-earnings beats, misses, and capital-allocation signals to adjust holdings. A standardized analysis maps key takeaways and guidance changes directly to your portfolio thesis.
Post-earnings reviews for portfolio monitoring should be published within 24 hours of the earnings release. Fast synthesis of results, guidance, and management commentary is critical for time-sensitive decision-making.
Assessing a post-earnings beat or miss requires up-to-date quarterly results, guidance changes, management commentary, and capital-allocation signals. This data is synthesized to evaluate thesis impact and identify the next catalyst.
Yes, post-earnings thesis analysis covers both standard equities and CEDEARs. It uses a standardized 6-step output format to consistently evaluate beats, misses, and guidance changes across different holding types.
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