earnings_momentum_setup_skill

Earnings Momentum Setup Skill

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:

# 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 earnings release, have "strong results themselves, strong market reaction, and may still continue to strengthen subsequently." The output focus is not simply finding stocks that surged after earnings, but judging the quality of the earnings surprise, whether market pricing still has room for continuation, and which individual stocks meet the conditions to move from a one-time 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 continued upward momentum.

It emphasizes combining earnings quality, guidance changes, market reaction, price-volume follow-through, and continuation of expectation gaps to help users find post-earnings strong stocks worth continuing to track.

Use cases

During earnings season, quickly identify strong individual stocks worthy of key tracking.
After results are announced, the user judges whether there are further trend trading opportunities.
The team needs to screen out the winners with the most continuity from a large number of earnings results.
Before or after market hours, update the post-earnings candidate pool and observation order.

Working principles

Post-earnings strength must simultaneously satisfy both result quality and market reaction quality; it cannot be judged only by price gains.
It is necessary to distinguish between "one-time positive catalyst" and "continuous diffusion of expectation gaps."
Earnings, guidance, price, volume, and industry background must be judged in linkage.
All conclusions must explain continuation conditions and invalidation conditions, avoiding directly treating event stocks as trend stocks.
The main text does not explicitly describe the internal implementation method.

Execution process

Step 1: Determine the earnings window and observation list

First confirm whether this analysis covers:

The latest earnings date window
The earnings batch of a certain industry or sector
Post-earnings reactions among the user's holdings or watchlist stocks
Or searching the whole market for strong post-earnings opportunities

Also 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 superficial beats. Focus on breaking down:

Whether key indicators such as revenue, profit, profit margin, and cash flow improve simultaneously
Whether the beat comes from core operating variables or one-time items
Whether guidance is raised and whether management's wording is more positive
Whether the issues the market was most worried about previously are effectively addressed in this earnings report

Only after first confirming "high earnings quality" does the subsequent price reaction become more interpretable.

Step 3: Identify whether the market reaction reflects incremental pricing

Make a second judgment on post-earnings performance, focusing on:

Whether the price reaction is significant and has follow-through, 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 anticipated it 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 going forward.

Step 4: Determine whether the strength has conditions for continuation

The core of post-earnings opportunities is determining whether the event can continue to strengthen afterward. Key confirmations:

Whether new guidance or business trends support continued upward revisions to expectations over the coming weeks
Whether 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

Many stocks 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 needs 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 verification nodes

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 failure scenarios

Post-earnings strong stocks also commonly have failure scenarios, which need to be proactively explained:

A gap up 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 finished post-earnings strength write-up

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 verification 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 nodes

{observation point 1}
{observation point 2}
{observation point 3}

V. Risk alerts

{risk 1}
{risk 2}
{risk 3}

Quality requirements

A clear distinction must be made between the quality of financial reports and the quality of stock price reaction.
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 the management and tracking of the post-earnings candidate pool.