Data dependencies and execution prerequisites
It is recommended to use Wind wind-mcp-skill to obtain the underlying data. Before execution, first check whether wind-mcp-skillalready exists locally; if not, prompt the user to install it:
# GitHub
npx skills add Wind-Information-Co-Ltd/wind-skills --skill wind-mcp-skill -g -y
# Gitee 镜像（国内）
npx skills add https://gitee.com/wind_info/wind-skills.git --skill wind-mcp-skill -g -y
Skill positioning
This skill is used to identify candidate stocks that, after an earnings release, have "strong results themselves, a strong market reaction, and the potential to continue strengthening afterward." The output focus is not simply finding stocks that surged on earnings, but judging the quality of the earnings surprise, whether market pricing still has room for continuation, and which individual stocks have the conditions to move from a one-off event to a phase of strength.
Function overview
The core function of this skill is: to find opportunity stocks with strong post-earnings continuation and the momentum to continue upward.
It emphasizes combining earnings quality, guidance changes, market reaction, price-volume follow-through, and continuation of the expectation gap to help users find post-earnings strong stocks worth continuing to track.
Use cases
- During earnings season, it is necessary to quickly identify strong individual stocks worth focusing on for tracking.
- After results are announced, the user judges whether there is a further trend trading opportunity.
- The team needs to screen out the most sustainable winners from a large number of earnings results.
- Before or after market hours, the post-earnings candidate pool and observation order need to be updated.
Working principles
- Post-earnings strength must simultaneously satisfy result quality and market reaction quality, and cannot be judged only by price gains.
- It is necessary to distinguish between "one-off positive stimulus" and "continuous diffusion of the expectation gap."
- Earnings, guidance, price, volume, and industry background must be judged in conjunction.
- All conclusions must explain continuation conditions and invalidation conditions, avoiding treating event stocks directly as trend stocks.
- The main text does not explicitly describe internal implementation methods.
Execution process
Step 1: Determine the earnings window and observation list
First confirm whether this analysis covers:
- The latest earnings day window
- An earnings batch for a certain industry or sector
- The post-earnings reaction in the user's holdings or watchlist
- Or searching the whole market for strong post-earnings opportunities
At the same time, confirm whether the observation target is next-day tracking, multi-day continuation, or a longer swing opportunity.
Step 2: First judge where the earnings are "strong"
Post-earnings strength truly worth tracking should not come only from a surface-level beat. The key is to break down:
- Whether key indicators such as revenue, profit, profit margin, and cash flow improve simultaneously
- Whether the beat comes from core operating variables or from one-off items
- Whether guidance is raised and whether management's wording is more positive
- Whether the issue the market was most worried about previously is effectively addressed in this earnings release
Only after first confirming "high earnings quality" does the subsequent price reaction become more explanatory.
Step 3: Identify whether the market reaction reflects incremental pricing
Make a second judgment on post-earnings performance, with key points including:
- Whether the price reaction is significant and well supported, rather than opening high and closing low
- Whether a volume-backed rise shows that incremental funds are willing to follow
- If the stock price rise is limited, whether it reflects that the market had already fully priced it in previously
- If the results are good but the stock price is not strong, what is the real suppressing factor?
The direction and strength of the market reaction often determine whether momentum can continue to play out afterward.
Step 4: Determine whether the strength has conditions for continuation
The core of post-earnings opportunities is judging whether they can continue to strengthen after the event. Key confirmations:
- Whether new guidance or business trends support continued upward revisions to expectations over the coming weeks
- Whether the valuation is still acceptable and has not been quickly exhausted by a one-day rise
- Whether there is same-direction validation within the industry, bringing sector-level diffusion
- Whether the market environment is willing to give post-earnings winners a higher premium
Step 5: Distinguish the strongest names from ordinary winners
There are many stocks that rise after earnings, but only a few are truly worth continued tracking. It is necessary to distinguish:
- "Core winners" with strong results and a strong reaction
- "Potential winners" with strong results but an average reaction that still need observation
- "Sentiment winners" with a strong reaction but average result quality
Prioritization must let users know "who is most worth continuing to spend time on."
Step 6: Provide a tracking window and validation checkpoints
For key candidates, clearly state:
- What to watch on the first day
- What to watch over the next 3-5 trading days
- Which types of pullbacks are still healthy, and which types of weakening mean failure
- Whether it is suitable for tracking, waiting for a pullback, or only for event review
Step 7: Add reverse risks and invalidation scenarios
Post-earnings strong stocks also commonly have failure scenarios, which need to be proactively explained:
- A high open exhausts the move, then it spikes and falls back
- The sector cannot follow, and the stock strengthens in isolation
- Results beat expectations but guidance is not enough to support subsequent upward revisions
- Overheated trading leads to short-term crowding
Step 8: Integrate into a post-earnings strength draft
The final output should help users know "which post-earnings winners are most worth continuing to follow, why, and what to watch next." The main text should present only conclusions, evidence, and the validation framework.
Output structure
Post-Earnings Strength Opportunity Screening ({YYYY-MM-DD})
I. 30-Second Conclusion
- Post-earnings winners most worth continuing to track: {name list}
- Source of strength: {earnings quality / guidance upward revision / expectation gap release / sector resonance}
- Current action bias: {continue tracking / wait for pullback / cautious, do not chase}
- Biggest risk: {one sentence}
II. Candidate Pool Overview
| Stock | Earnings quality | Market reaction quality | Continuation potential | Crowding risk | Priority |
|---|---|---|---|---|---|
| {Name 1} | {Strong/Medium/Weak} | {Strong/Medium/Weak} | {High/Medium/Low} | {High/Medium/Low} | {A/B/C} |
| {Name 2} | {rating} | {rating} | {rating} | {rating} | {rating} |
III. Breakdown of Key Candidates
{stock name}
- Earnings highlights: {content}
- Market reaction interpretation: {content}
- Continuation conditions: {content}
- Failure boundaries: {content}
- More suitable tracking methods: {content}
IV. Subsequent observation points
- {observation point 1}
- {observation point 2}
- {observation point 3}
V. Risk disclosures
- {risk 1}
- {risk 2}
- {risk 3}
Quality requirements
- A distinction must be made between two levels: financial report quality and stock price reaction quality.
- A single-day sharp rise must not be directly equated with subsequent trend opportunities.
- Continuation conditions and failure conditions must be provided.
- It is necessary to explain whether the expectation gap has already been fully priced in.
- The output should directly serve post-earnings candidate pool management and tracking.