SuperAPI AI Directory

volume_spike_reasoning_skill

Data & analytics

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Updated 10-16 01:33

About this skill

Volume Spike Reasoning Skill

Data Dependencies and Execution Prerequisites

It is recommended to use Wind wind-mcp-skill to obtain underlying data. Before execution, first check whether there is already locally wind-mcp-skill; 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 explain "why there is a sudden volume surge" and to distinguish the nature behind the volume surge as event-driven, sector spread, main-force gaming, technical-level release, or sentiment trading. The goal is to avoid treating all volume surges as bullish and to avoid missing volume surges that truly contain information value.

Execution Process

Step 1: Confirm the context in which the volume surge occurs

First define the time granularity and market position of the volume surge:

  • Intraday instantaneous volume surge, half-hour volume surge, full-day volume surge
  • Whether the volume surge occurs during an rise, decline, sideways movement, or near a breakout/breakdown
  • Whether the day is also accompanied by high turnover, gap, limit-up sealing, limit-up opening, or late-session anomaly

Step 2: Determine whether the volume surge significantly deviates from normal

Compare current trading performance with the normal level in the recent stage, focusing on:

  • Whether turnover amount or volume has significantly increased
  • Whether changes in turnover rate are also clearly synchronized
  • Whether the volume surge is sustained or pulse-like
  • Whether the volume surge is mainly concentrated in a single period

Step 3: Investigate the sources of incremental drivers

Focus on investigating four categories of causes:

  • Event-driven: announcements, news, policies, financial reports, products, orders, regulation
  • Sector-driven: collective anomalies among peers, theme fermentation, leadership by the bellwether
  • Technical-driven: key-level breakout, breakdown, stop-loss stampede, trend acceleration
  • Capital-driven: sentiment-driven scrambling for shares, hot-money relay, gaming turnover, late-session capital probing

Step 4: Identify the quality of the volume surge

A volume surge itself does not mean it is effective; it must answer:

  • Whether price advances along the direction of the volume surge
  • Whether there is "volume surge without price movement" or "volume surge with a spike and pullback"
  • Whether the volume surge brings structural revaluation, rather than a one-day pulse
  • Whether the current market supports the continuation of this volume surge

Step 5: Output key tracking points

Provide the most important follow-up verification questions, for example:

  • Whether there is follow-through the next day
  • Whether the key level is held steadily
  • Whether it continues to receive support from theme heat
  • Whether price strength can still be maintained after turnover falls back to normal

Step 6: Integrate into an attribution result

The final output should mainly consist of "nature of the volume surge + credibility + follow-up observation points," and should not display the internal investigation path.

Output Structure


{Stock Name} Volume Anomaly Attribution

I. Volume Surge Overview

  • Volume surge period: {intraday/full-day/late session}
  • Price performance: {rise/fall/spike and pullback/range-bound}
  • Volume surge characteristics: {description of significance and persistence}

II. Main Attribution

Attribution direction Judgment Explanation
Event-driven High/Medium/Low {Whether there is clear incremental information}
Sector-driven High/Medium/Low {Whether there is collective resonance}
Technical-driven High/Medium/Low {Whether it is related to key levels}
Capital game/flow High/Medium/Low {Whether it looks more like sentiment or capital behavior}

III. Judgment of Volume Quality

  • Credibility: {High/Medium/Low}
  • Evidence that most supports the current judgment: {1-2 items}
  • Risk that most needs caution: {1-2 items}

IV. Follow-up Tracking

  • Next key things to watch: {signal}
  • If it continues to strengthen: {what it means}
  • If it rapidly fades: {what it means}

Quality requirements

  1. Attribution must cover multiple possibilities; it is not allowed to equate increased volume with bullishness right from the start.
  2. If evidence is insufficient, it is allowed to give a judgment of "attribution not yet sufficient."
  3. The explanation should focus on "why the volume increase occurred" and "whether it is worth continuing to track."
  4. When multiple causes exist at the same time, the primary cause and secondary causes must be clearly identified, not simply piled up in parallel.
  5. The output should serve rapid intraday judgment, and the conclusions should be short and stable.