Nian Nian You Yu Market Comment Writing

Task Objectives

• This Skill is used to: Write market comment articles in the "Nian Nian You Yu" brand style based on real A-share market data
• Capabilities include: Market trend analysis, sector performance interpretation, capital flow tracking, technical and fundamental analysis
• Trigger conditions: User requests to write market comments, analyze market trends, or interpret the intraday market

Preparations

• Dependency Description: Dependencies and versions required for scripts

  akshare>=1.18.0
  pandas>=1.3.0
  requests>=2.22.0

Operation Steps

Standard Workflow

1. Market Environment Analysis (Important! New Addition) ⭐
   • Call

     scripts/analyze_market_context.py

     to analyze special factors at the current time point
   • Core Objective: Identify the impact of holidays, special periods, and important time windows on the market
   • Analysis Dimensions:
     • Holiday Effect: Before and after major holidays such as Spring Festival, National Day, May Day
     • Period Effect: Settlement pressure at the end of the month/quarter/year
     • Special Windows: Two Sessions period, earnings season, FOMC meeting week, etc.
   • Output Content:
     • Special period identifier (e.g., "Last trading day before Spring Festival")
     • Market sentiment factors (e.g., "Pre-holiday risk aversion sentiment")
     • Analysis suggestions (e.g., "Focus on pre-holiday capital cashing demand")
   • Important: The output of this step must be fully reflected in subsequent comment writing
   • Detailed instructions see references/市场环境分析指南.md
2. Obtain Market Data
   • Call

     scripts/fetch_market_data.py

     to obtain A-share market data for the specified date
   • Supports default acquisition of data from the previous trading day
   • Data includes: SSE Composite Index, SZSE Component Index, ChiNext Index, Northbound Capital, sector data, rise/fall statistics, etc.
   • Output format: JSON file
3. Data Analysis
   • Optional call

     scripts/analysis_tool.py

     to perform statistical analysis on market data
   • Analysis content includes: Index fluctuations, capital flows, sector performance, market sentiment, etc.
   • Provide data support for writing comments
   • Combine with Step 1 Environment Analysis: Comprehensively judge the real reasons for market fluctuations
4. Write Market Comment (First Draft)
   • Step 1: Integrate Market Environment Analysis ⭐ (New Addition)
     • Review the environment analysis results from Step 1
     • Focus on special time point factors in the "Event Analysis" paragraph
     • Examples:
       • If pre-holiday: Explain "Pre-holiday risk aversion sentiment is strong, investors tend to hold cash for the holiday"
       • If end of month: Explain "End-of-month settlement pressure leads to capital market volatility"
       • If earnings season: Explain "Intensive performance disclosures make the market focus on performance expectations"
   • Step 2: Strictly Follow the "Nian Nian You Yu" Creation Style, refer to the style guide in references/年年有鱼创作风格.md
   • Must Include Complete Title Format:
     • Main Title: [Nian Nian You Yu · Pre-Market Outlook] {Core View Title} (Pre-market Article)
     • Main Title: [Nian Nian You Yu · Market Comment] {Core View Title} (Closing Review Article)
     • Subtitle: ——This column is the "Yu Qing Yu Li" Morning Review/Closing Review
   • Adopt Fixed 6-Paragraph Structure: Market Overview → Event Analysis → External Impact → Technical Analysis → Capital Flows → Operation Suggestions
   • Data Usage Requirements (Core Principles):
     • Must Write Based on Accurately Obtained Data: Only use valid data obtained from previous steps
     • Null Data Handling: For missing data (None, null), 0 data (obviously abnormal 0 values), avoid involving such content when writing comments
     • Northbound Capital Data Restrictions:
       • The script uses East Money API to obtain Northbound Capital data
       • Important Restriction: This API only supports obtaining the day's data, and cannot query historical Northbound Capital data
       • For non-current dates, the script will return null, 0 value, or mark as unavailable
       • Handling Rules (Must Be Strictly Followed):
         • If Northbound Capital data is null, 0, or marked as unavailable, directly ignore content related to Northbound Capital
         • Do not write analysis involving Northbound Capital, do not mention "Northbound Capital" or "Northbound Capital flows"
         • Do not fabricate Northbound Capital data, and do not use 0 values for analysis
         • Reference other capital flow data (such as overall market capital flows) if available
         • If other capital flow data is also unavailable, simplify the capital flows paragraph or merge it into other paragraphs
     • Must use specific values (accurate to two decimal places)
     • Must include data comparisons (increment/decrement, proportion changes, month-on-month, etc.)
     • Must label data sources (e.g., "According to East Money data")
     • Must include the three major indices: SSE Composite Index, SZSE Component Index, ChiNext Index
   • Must Use Characteristic Metaphors: "Fish School" (capital flows), "Whale" (large capital), "Ballast Stone" (stable sectors)
   • Must Use Fixed Expressions: "In terms of operation ideas", "Subscribe to the [Nian Nian You 'Yu'] Stock Pool to unlock more content"
   • Length Requirements: 1000-1200 words overall, each paragraph about 150-200 words, Paragraph 2 and 5 can be expanded to 250-300 words depending on content importance
   • The agent writes comment content based on market data and analysis results in accordance with the style guide
   • Ensure content is professional, objective, and compliant with regulatory requirements and style specifications
5. Copy Polishing (Based on Micro-Style Characteristics)
   • Polishing Objective: Strictly polish according to the micro-style characteristics in references/年年有鱼创作风格_微观特征.md to ensure the real cross-text writing style of "Nian Nian You Yu" is reflected
   • Polishing Principles (Must Be Strictly Followed):
     • Do Not Change Core Views: Keep the core views and judgment logic of the first draft, polishing only optimizes language expression
     • Do Not Change Paragraph Structure: Keep the 6-paragraph structure and paragraph content framework of the first draft, only fine-tune wording
     • Do Not Change Data Content: Keep all data information in the first draft, polishing only optimizes data expression methods
     • Only Optimize Language Expression: Change colloquial expressions to professional ones, optimize sentence structure and rhythm, and enhance professionalism
     • Strengthen Micro-Style Characteristics: Sentence structure, vocabulary, iconic expressions, emotional tone, rhetorical devices, rhythm control
   • Polishing Checklist (Must Check and Modify Item by Item):
     Sentence Structure Check:
     • Change colloquial expressions to professional ones: e.g., "rose" → "rose slightly", "fell" → "declined", "had movements" → "showed movements"
     • Ensure data-guided expressions: Add "According to East Money data"
     • Use conditional sentences to reflect prudence: e.g., "If..., then...", "Without incremental capital, it will be difficult for the index to form a trending market"
     Core Vocabulary Check:
     • Use professional terms: Shrinkage, consolidation, rotation, catalyst, risk aversion, differentiation
     • Use neutral and prudent words: Most likely, may, suggest, avoid, expectation, tend to
     • Ensure characteristic metaphors are used: Fish School (capital flows), Whale (large capital), Ballast Stone (stable sectors)
     • Remove absolute expressions: Skyrocket, plummet, definitely, absolutely, inevitably
     Iconic Expression Check:
     • Ensure "In terms of trend structure" is used to introduce the technical analysis paragraph
     • Ensure "In terms of operation ideas" is used to introduce the operation suggestions paragraph
     • Ensure "Subscribe to the [Nian Nian You 'Yu'] Stock Pool to unlock more content" is used as a fixed call-to-action
     • Add "In terms of fish school" as the opening of the capital flows paragraph
     Emotion and Tone Check:
     • Ensure low emotional intensity: Keep calm and rational, avoid emotional language
     • Ensure neutral and slightly stable tone: Avoid extreme optimism or pessimism
     • Indirectly convey prudent sentiment through data and analysis
     Rhetorical Devices Check:
     • Ensure metaphors are used: Fish School, Whale, Ballast Stone
     • Appropriately use parallelism: e.g., "First, do not... Second, do not... Third, do not...", "First... Second... Third..."
     Rhythm Control Check:
     • Use short sentences: Ensure sentences are concise and syllables are compact
     • Use commas to split sentences: Create analytical pauses
     • Moderately fast rhythm: Avoid overly long sentences, maintain fluency
     Language Standard Check:
     • Formality level 4 (professional but easy to understand): Avoid overly colloquial or academic language
     • Remove absolute vocabulary: Skyrocket, plummet, definitely, absolutely
     • Ensure data support: Each view is supported by data
   • Micro-Characteristics Strengthening:
     • Paragraph length: Each paragraph about 150-200 words, information is condensed and substantial
     • Transition style: Use phrases for natural transitions (e.g., "Recent event aspects" "Related market aspects" "In terms of trend structure" "In terms of operation ideas")
     • Hierarchy mode: Each paragraph starts with a sub-theme, followed by detailed expansion to ensure full content
     • Narrative perspective: Third-person omniscient perspective, objectively state the market
     • Time sequence: Organize in the time line of yesterday → today → future
     • Logical mode: Dominated by causal logic (e.g., "Due to PPI recovery, it is beneficial to non-ferrous metals")
     • Thinking depth: Level 4 (moderate depth, balancing professionalism and readability)
     • Stable rhythm: Each paragraph solves one sub-problem, with rich content levels
   • Specific Polishing Operations:
     • Step 1: Read the first draft content
     • Step 2: Check the above checklist paragraph by paragraph
     • Step 3: Modify non-compliant parts item by item (only modify wording, do not change views and structure)
     • Step 4: Compare the differences before and after polishing after completion
     • Step 5: Ensure the polished text has obvious improvements, but core views and structure remain unchanged
   • Polishing Prohibitions:
     • Prohibit changing core views and judgment logic
     • Prohibit changing the 6-paragraph structure and paragraph content framework
     • Prohibit deleting or modifying data information
     • Prohibit adding new views or analysis content
     • Prohibit major reorganization of paragraph order or adjustment of paragraph content framework
     • Prohibit deleting important analysis content
   • Polishing Permissions:
     • Change colloquial expressions to professional ones (e.g., "rose" → "rose slightly")
     • Optimize sentence structure and rhythm (e.g., use commas to split sentences, short sentences)
     • Enhance professionalism of data expression (e.g., "According to East Money data")
     • Adjust emotional tone (e.g., reduce emotional intensity, keep neutral and slightly stable)
     • Strengthen iconic expressions (e.g., "In terms of trend structure", "In terms of operation ideas", "In terms of fish school")
     • Optimize vocabulary selection (e.g., use professional terms, neutral and prudent words, characteristic metaphors)
   • Output Requirements (Must Be Strictly Followed):
     • Only Output the Polished Final Draft: The polished final draft based on micro-style characteristics
     • Final Draft Content Requirements:
       1. Must include 6-paragraph structure
       2. Must include complete title format (main title + subtitle)
       3. Must include data source labels
       4. Must include risk warning statement
       5. Must include the fixed call-to-action "Subscribe to the [Nian Nian You 'Yu'] Stock Pool to unlock more content"
     • Do Not Output the Unpolished First Draft: The first draft is only an intermediate product in the polishing process and does not need to be output
     • Polishing Principle: Ensure the polished final draft meets the requirements of micro-style characteristics
   • Polishing Principles:
     • Strictly follow the micro-style characteristics in references/年年有鱼创作风格_微观特征.md
     • Do not change core views and structure, only optimize language expression and style consistency
     • Do not change the 6-paragraph structure and paragraph content framework, only fine-tune wording
     • Do not change data content, only optimize data expression methods
     • Strengthen data-driven and prudent tone, avoid emotional language
     • Retain characteristic metaphors such as "Fish School" to enhance vividness
     • Ensure the polished text is significantly different from the original, but core views and structure remain unchanged
6. Generate HTML Poster (Required)
   • After polishing, must use the polished final draft to intelligently generate a visual HTML poster
   • Reference HTML Template: Read the HTML poster template in references/html海报模板.html to understand the page structure and design style
   • Intelligently Generate HTML Poster:
     • Use large models to intelligently rewrite the HTML poster based on the polished final draft
     • Intelligently arrange text content, decide how to allocate the 6-paragraph text content to various positions on the HTML page
     • Intelligently adjust layout, adjust paragraph order and display method according to content importance
     • Intelligently select appropriate data visualization methods (cards, lists, tables, etc.)
     • Retain the visual design style of the HTML template (color scheme, fonts, layout, etc.)
     • Ensure the HTML file can be directly opened and viewed in a browser
   • HTML Poster Content Requirements:
     • Complete title format (main title + subtitle)
     • Current date information (year/month/day, week, lunar calendar)
     • Core view title and description
     • Complete 6-paragraph structure content (Market Overview, Event Analysis, External Impact, Technical Analysis, Capital Flows, Operation Suggestions)
     • Data visualization display (data cards, lists, etc.)
     • Risk warning statement
     • Fixed call-to-action "Subscribe to the [Nian Nian You 'Yu'] Stock Pool to unlock more content"
   • Output Requirements:
     • Must generate an HTML poster file
     • The HTML file can be directly opened and viewed in a browser
     • The HTML file contains complete article content and visual design
     • The HTML file retains the visual design style of the template

Compliance Requirements (Must Be Followed)

• Risk Warning Statement: All comments must include the disclaimer "This closing review is for reference only and does not constitute investment advice. Investors operate at their own risk."
• Data Source Labeling: All data must indicate the source (East Money)
• Do Not Constitute Investment Advice: Avoid absolute language such as "Suggest buying", "Must bottom-fish", use neutral expressions such as "Pay attention to", "Worth paying attention to"
• Avoid Predictive Descriptions: Do not use predictive language such as "Will definitely rise sharply", "Will definitely fall", use probabilistic expressions such as "Expected to", "May"
• Professional Expression: Avoid emotional, inciting language, keep objective, rational, and professional

Resource Index

• Necessary Scripts:
  • scripts/fetch_market_data.py - Obtain A-share market data (indices, capital, sectors, rise/fall statistics)
  • scripts/analysis_tool.py - Analyze market data and generate basic comment information
  • scripts/data_cache.py - Data cache manager
• Domain References:
  • references/年年有鱼创作风格.md - Investment Advisor Comment Creation Style Guide (Format and Structure Guide)
  • references/年年有鱼创作风格_微观特征.md - Micro-Style Characteristics Guide (Sentence structure, vocabulary, rhetoric, rhythm, etc.)
  • references/html海报模板.html - Visual Poster HTML Template (For reference of page structure and design style)
  • references/step1.md - Instructions for Obtaining Market Trend Data
  • references/step2.md - Instructions for Obtaining Sector Data
  • references/step3.md - Data Analysis and Interpretation Guidelines
  • references/step4.md - Guidelines for Market Outlook and Investment Suggestions

Notes

• Two-Step Creation Process (Must Be Strictly Followed):
  • Step 1: Write the first draft (strictly follow the 6-paragraph structure and language style in references/年年有鱼创作风格.md)
  • Step 2: Copy polishing (strictly polish according to the micro-style characteristics in references/年年有鱼创作风格_微观特征.md)
  • Only Output the Polished Final Draft: Do not output the unpolished first draft
  • Step 3: Generate HTML Poster: Must use the polished final draft to generate a visual HTML poster file
• Polishing Boundary (Core Principle):
  • Polishing Prohibitions:
    • Prohibit changing core views and judgment logic
    • Prohibit changing the 6-paragraph structure and paragraph content framework
    • Prohibit deleting or modifying data information
    • Prohibit adding new views or analysis content
    • Prohibit major reorganization of paragraph order or adjustment of paragraph content framework
  • Polishing Permissions:
    • Change colloquial expressions to professional ones (e.g., "rose" → "rose slightly")
    • Optimize sentence structure and rhythm (e.g., use commas to split sentences, short sentences)
    • Enhance professionalism of data expression (e.g., "According to East Money data")
    • Adjust emotional tone (e.g., reduce emotional intensity, keep neutral and slightly stable)
    • Strengthen iconic expressions (e.g., "In terms of trend structure", "In terms of operation ideas", "In terms of fish school")
    • Optimize vocabulary selection (e.g., use professional terms, neutral and prudent words, characteristic metaphors)
• Tense Judgment (Core):
  • Determine tense based on the comparison between the writing date and data date, not based on article type
  • Writing date = Data date → "Today's A-share market"
  • Writing date > Data date (1 day difference) → "Yesterday's A-share market"
  • If user clearly requests a specific time range → Use the expression requested by the user (this week/this month/recently, etc.)
  • Article type (pre-market outlook/market comment) only affects release timing and focus, not tense expression
• Title Format: Must use complete title format, including main title and subtitle
• Style Priority:
  • First draft writing: Must strictly follow the 6-paragraph structure and language style in references/年年有鱼创作风格.md
  • Copy polishing: Must strictly polish according to the micro-style characteristics in references/年年有鱼创作风格_微观特征.md
  • Polishing focus: Sentence structure characteristics, core vocabulary, iconic expressions, emotion and tone, rhetorical devices, rhythm control
• Data Requirements (Core Principle):
  • Must Write Based on Accurately Obtained Data: Only use valid data obtained from previous steps
  • Null Data Handling: For missing data (None, null), 0 data (obviously abnormal 0 values), avoid involving such content when writing comments
  • Northbound Capital Data Restrictions (Must Be Strictly Followed):
    • Northbound Capital data is obtained using East Money API
    • Important Restriction: This API only supports obtaining the day's data, and cannot query historical Northbound Capital data
    • For non-current dates, the script will return null, 0 value, or mark as unavailable
    • Handling Rules:
      • If Northbound Capital data is null, 0, or marked as unavailable, directly ignore content related to Northbound Capital
      • Do not write analysis involving Northbound Capital, do not mention "Northbound Capital" or "Northbound Capital flows"
      • Do not fabricate Northbound Capital data, and do not use 0 values for analysis
      • Reference other capital flow data (such as overall market capital flows) if available
      • If other capital flow data is also unavailable, simplify the capital flows paragraph or merge it into other paragraphs
  • Must use specific values (accurate to two decimal places)
  • Must include the three major indices: SSE Composite Index, SZSE Component Index, ChiNext Index
  • Must include data comparisons (increment/decrement, proportion changes, month-on-month, etc.)
  • Must label data sources (e.g., "According to East Money data")
• Characteristic Metaphors: Must use characteristic metaphors such as "Fish School" (capital), "Whale" (large capital), "Ballast Stone" (stable sectors)
• Fixed Expressions: Must use "In terms of operation ideas" as the opening of the operation suggestions paragraph, and "Subscribe to the [Nian Nian You 'Yu'] Stock Pool to unlock more content" as the ending
• Language Standard: Use neutral and prudent vocabulary ("may" "suggest" "most likely"), avoid absolute expressions ("skyrocket" "plummet" "definitely" "absolutely")
• Length Control: 1000-1200 words overall, Paragraph 2 and 5 can be appropriately expanded according to data availability
• Clear Logic: Data → Cause → Impact → Conclusion, complete logical chain
• Only read other reference documents when necessary, keep context concise
• Ensure correct input parameters when using scripts (date format: YYYY-MM-DD)
• Make full use of the agent's language understanding and generation capabilities to write comment content
• Strictly comply with compliance red lines to ensure professionalism and compliance of comment content
• Execution Key Points (Must Remember):
  1. When Northbound Capital is null/0/unavailable: Directly ignore, do not write any related content
  2. Only Output the Polished Final Draft: Do not output the unpolished first draft
  3. Polishing Only Optimizes Wording: Do not change core views, do not change paragraph structure, do not change data content
  4. Must Generate HTML Poster: Use the polished final draft to generate a visual HTML poster file

Usage Examples

Example 1: Write Pre-Market Outlook

# Step 1: Obtain market data (default previous trading day)
python scripts/fetch_market_data.py

# Step 2: Agent writes market comment first draft according to "Nian Nian You Yu" style
# - Title: [Nian Nian You Yu · Pre-Market Outlook] {Core View Title}
# - Subtitle: ——This column is the "Yu Qing Yu Li" Morning Review
# - Strictly follow 6-paragraph structure
# - Use characteristic metaphors such as "Fish School" "Whale" "Ballast Stone"
# - Keep neutral and prudent language style

# Step 3: Agent polishes the first draft according to micro-style characteristics
# - Refer to micro-characteristics in assets/年年有鱼创作风格.txt
# - Check sentence structure characteristics, core vocabulary, iconic expressions, emotional tone, rhetorical devices, rhythm control
# - Strengthen data-driven and prudent tone
# - Output unpolished first draft and polished final draft

Example 2: Write Closing Review

# Step 1: Obtain market data for specified date
python scripts/fetch_market_data.py 2026-02-10

# Step 2: Agent writes closing review first draft according to "Nian Nian You Yu" style
# - Title: [Nian Nian You Yu · Market Comment] {Core View Title}
# - Subtitle: ——This column is the "Yu Qing Yu Li" Closing Review
# - Strictly follow 6-paragraph structure
# - Use characteristic metaphors such as "Fish School" "Whale" "Ballast Stone"
# - Keep neutral and prudent language style

# Step 3: Agent polishes the first draft according to micro-style characteristics
# - Refer to micro-characteristics in assets/年年有鱼创作风格.txt
# - Check sentence structure characteristics, core vocabulary, iconic expressions, emotional tone, rhetorical devices, rhythm control
# - Strengthen data-driven and prudent tone
# - Output unpolished first draft and polished final draft

Title Format Examples

[Nian Nian You Yu · Pre-Market Outlook] Pre-Holiday Closing Imminent, Capital Rotation Awaits Spring Return
——This column is the "Yu Qing Yu Li" Morning Review

[Nian Nian You Yu · Market Comment] Changes and Invariants in Pre-Holiday Market
——This column is the "Yu Qing Yu Li" Closing Review

Nian Nian You Yu Style Example Snippets (Based on Real Cases, Including Before and After Polishing Comparison)

Paragraph 1 - Market Overview
Yesterday's market continued pre-holiday characteristics, the SSE Composite Index rose 0.09% and achieved seven consecutive gains, the SZSE Component Index and ChiNext Index fell 0.35% and 1.08% respectively. Turnover fell below 2 trillion yuan, only 1.98 trillion yuan, shrank by more than 120 billion yuan, the market showed a shrinking volume feature overall.

Yesterday's market continued pre-holiday characteristics, the SSE Composite Index rose slightly by 0.09% to achieve seven consecutive gains, while the SZSE Component Index and ChiNext Index declined 0.35% and 1.08% respectively; the turnover of the two markets fell below 2 trillion yuan for the first time this year to 1.98 trillion yuan, a contraction of over 120 billion yuan, presenting a clear shrinking volume pattern.

• Sentence structure optimization: Use precise descriptions such as "rose slightly" "declined respectively", avoid colloquial expressions like "rose" "fell"
• Data guidance: Accurate to two decimal places, use quantitative descriptions such as "for the first time this year" "over"
• Rhythm control: Create analytical pauses through commas, maintain moderately fast rhythm

In terms of capital, there was a high-low rotation movement yesterday, cyclical resource sectors such as banking, oil performed actively, while previously popular tech growth sectors like AI applications, semiconductors were profit-taken. Northbound Capital flowed out for three consecutive days, about 2-3 billion yuan, pre-holiday leveraged capital was not interested in high-level theme stocks, showing defensive position adjustment overall.

In terms of fish school, capital showed high-low rotation movements yesterday; cyclical resource "fish schools" such as banking, oil performed actively against the trend, while previously popular tech growth "fish schools" such as AI applications, semiconductors encountered profit-taking; in terms of whale dynamics, according to Wind data, Northbound Capital had net outflows of about 2-3 billion yuan for three consecutive days, pre-holiday leveraged capital lost offensive enthusiasm for high-level theme stocks, showing defensive position adjustment overall.

• Characteristic metaphors: Use iconic metaphors such as "fish school" "whale"
• Data guidance: Add data-guided expression "According to Wind data"
• Iconic expression: Use "In terms of fish school" as paragraph opening
• Sentence structure optimization: Use precise descriptions such as "performed actively against the trend" "lost offensive enthusiasm"

In terms of operation suggestions, considering the market is in pre-holiday shrinking consolidation period, suggest adopting high-sell low-buy strategy, do not chase rises and kill falls. Position control at about 50-70%, keep cash to deal with holiday uncertainties. If held stocks have solid performance and unbroken trends, can continue to hold; if cash-holding investors, do not need to add positions significantly before holiday, can wait for clear signals after holiday.

In terms of operation ideas, given the market is in pre-holiday shrinking consolidation period, suggest adopting high-sell low-buy range strategy, avoid chasing rises and killing falls. Position management maintains 50-70%, keep sufficient cash to deal with holiday uncertainties; stock holders can hold if targets have solid performance and unbroken trends, cash-holding investors do not need to rush to add positions significantly before holiday, can wait for clear signals after holiday.

• Iconic expression: Use "In terms of operation ideas" as paragraph opening
• Conditional sentences: Use conditional sentences such as "if... can..." "cash-holding investors do not need to... can wait..."
• Neutral and prudent vocabulary: Use neutral and prudent words such as "given" "suggest" "maintain"
• Rhythm control: Separate parallel content with semicolons to create analytical pauses

Complete Output Format Example (Including Before and After Polishing Comparison)

===== Before Polishing (First Draft) =====

[Nian Nian You Yu · Pre-Market Outlook] Pre-Holiday Closing Imminent, Capital Rotation Awaits Spring Return
——This column is the "Yu Qing Yu Li" Morning Review

Yesterday's market continued pre-holiday characteristics, the SSE Composite Index rose 0.09% and achieved seven consecutive gains, the SZSE Component Index and ChiNext Index fell 0.35% and 1.08% respectively. Turnover fell below 2 trillion yuan, only 1.98 trillion yuan, shrank by more than 120 billion yuan, the market showed a shrinking volume feature overall.

In recent event aspects, domestic January CPI month-on-month hit a 6-month high and PPI rebounded for four consecutive months, strengthening consumption recovery and industrial product price increase logic...

In related market aspects, the differentiated structure of US stocks with strong Dow Jones and adjusted Nasdaq will map to A-share's continuation of seesaw effect between high-dividend resource stocks and tech stocks...

In terms of trend structure, the SSE Composite Index built a platform above 4100 points at the daily level, facing resistance from previous high area after seven consecutive gains, needing volume support to break through...

In terms of fish school, there was a high-low rotation movement yesterday, cyclical resource sectors such as banking, oil performed actively, while previously popular tech growth sectors like AI applications, semiconductors were profit-taken...

In terms of operation ideas, considering the market is in pre-holiday shrinking consolidation period, suggest adopting high-sell low-buy strategy, do not chase rises and kill falls. Position control at about 50-70%...

Subscribe to the [Nian Nian You 'Yu'] Stock Pool to unlock more content

===== After Polishing (Final Draft) =====

[Nian Nian You Yu · Pre-Market Outlook] Pre-Holiday Closing Imminent, Capital Rotation Awaits Spring Return
——This column is the "Yu Qing Yu Li" Morning Review

Yesterday's market continued pre-holiday characteristics, the SSE Composite Index rose slightly by 0.09% to achieve seven consecutive gains, while the SZSE Component Index and ChiNext Index declined 0.35% and 1.08% respectively; the turnover of the two markets fell below 2 trillion yuan for the first time this year to 1.98 trillion yuan, a contraction of over 120 billion yuan, presenting a clear shrinking volume pattern.

In recent event aspects, domestic January CPI month-on-month hit a 6-month high and PPI rebounded for four consecutive months, strengthening consumption recovery and industrial product price increase logic...

In related market aspects, the differentiated structure of US stocks with strong Dow Jones and adjusted Nasdaq will map to A-share's continuation of seesaw effect between high-dividend resource stocks and tech stocks...

In terms of trend structure, the SSE Composite Index built a platform above 4100 points at the daily level, facing resistance from previous high area after seven consecutive gains, needing volume support to break through...

In terms of fish school, capital showed high-low rotation movements yesterday; cyclical resource "fish schools" such as banking, oil performed actively against the trend, while previously popular tech growth "fish schools" such as AI applications, semiconductors encountered profit-taking; in terms of whale dynamics, according to East Money data, Northbound Capital had net outflows of about 2-3 billion yuan for three consecutive days, pre-holiday leveraged capital lost offensive enthusiasm for high-level theme stocks, showing defensive position adjustment overall.

In terms of operation ideas, given the market is in pre-holiday shrinking consolidation period, suggest adopting high-sell low-buy range strategy, avoid chasing rises and killing falls. Position management maintains 50-70%, keep sufficient cash to deal with holiday uncertainties; stock holders can hold if targets have solid performance and unbroken trends, cash-holding investors do not need to rush to add positions significantly before holiday, can wait for clear signals after holiday.

Subscribe to the [Nian Nian You 'Yu'] Stock Pool to unlock more content

Nian Nian You Yu —— Make investment as simple as breathing.
Views are for reference only, do not participate in any form of sharing securities investment income or sharing securities investment losses
The market has risks, investment needs caution.

1. Sentence Structure Check:
   • Before polishing: "The SSE Composite Index rose 0.09%" → After polishing: "The SSE Composite Index rose slightly by 0.09%" (colloquial → professional)
   • Before polishing: "Turnover fell below 2 trillion yuan, only 1.98 trillion yuan" → After polishing: "The turnover of the two markets fell below 2 trillion yuan for the first time this year to 1.98 trillion yuan" (more precise)
   • Before polishing: "there was a high-low rotation movement yesterday" → After polishing: "capital showed high-low rotation movements yesterday" (more professional)
2. Core Vocabulary Check:
   • Before polishing: "cyclical resource sectors such as banking, oil" → After polishing: "cyclical resource 'fish schools' such as banking, oil" (add characteristic metaphor)
   • Before polishing: "were profit-taken" → After polishing: "encountered profit-taking" (more formal)
   • Before polishing: "do not chase rises and kill falls" → After polishing: "avoid chasing rises and killing falls" (more neutral)
3. Iconic Expression Check:
   • Add "In terms of fish school" as the opening of the capital flows paragraph
   • Add data-guided expression "According to East Money data"
4. Emotion and Tone Check:
   • Before polishing: "considering..." → After polishing: "given..." (more formal)
   • Before polishing: "do not..." → After polishing: "do not need to..." (more euphemistic)
5. Rhythm Control Check:
   • Split sentences with commas and semicolons to create analytical pauses
   • Use short sentences to maintain fluent rhythm

• Before polishing: More colloquial, lack of professional terms and characteristic metaphors
• After polishing: Professional expressions, use "fish school" metaphors, more precise data, more neutral and prudent tone