Self-Review of the Text on "How to Analyze Trading Volumes in Stocks"
Paragraph and Section Audit
Paragraph Audit by Search Intents
| Paragraph / Topic | Relevant Intent from the Terms of Reference | Comment |
|---|---|---|
| Definition of trading volume, types and calculation methods | Cluster 1 "Basics of Stock Trading Volumes" (direct intent) | Complete and relevant coverage of the topic |
| The significance of volume for liquidity and volatility | Cluster 2 "Average Volume and Liquidity" (direct intent) | Matches queries and related intents are disclosed |
| The relationship between volume and trend, confirming signals | Cluster 4 "Volume and Trend Confirmation" (direct intent) | Complete coverage of the topic |
| Volume indicators and their descriptions | Cluster 5 "Indicators and Methods for Volume Analysis" (direct intent) | Relevant content and completeness |
| Institutional players, large trades, clusters | Cluster 3 "Large Orders and Institutional Volume" | Matches inquiries |
| Fake breakouts and traps in volume analysis | Cluster 6 "Fake Breakouts and Volume Traps" (direct and related intent) | Complete disclosure of intents |
| Historical cases and examples | Cluster 7 "Practical Cases" (direct intent) | Relevant and useful material |
| The psychology of volume and market behavior | Cluster 6 "Behavioral and Psychological Aspects" | Thorough disclosure of the intent |
| Systematic use of volume in strategies | Clusters 4, 5, and partially 3 | Relevant disclosure |
| Summary and conclusions on the topic | General conclusion and clarifying intent | Compliance with requirements |
The “Water Rule” and Recommendations
All paragraphs contain relevant information and address search intents. The content is sufficiently rich, with no excessive or irrelevant sections. To improve structure and volume, it is recommended to break down the text into smaller sections based on themes.
Section Audit (H2 Headers)
The text currently has a single H2 header encompassing broad topics. For better readability and SEO optimization, it is advisable to divide the content into 5-6 thematic H2 sections corresponding to semantic clusters.
Recommendations for Reworking and Expansion
- Expand sections on cluster analysis and footprint charts with practical examples.
- Add specific cases related to the Russian market, including MMVB stocks.
- Elaborate on popular volume indicators, their settings, and usage.
- Include a psychological section with common trader mistakes and ways to overcome them.
- Create additional materials on strategies and systems using volume.
Proposed Structure (H2/H3) for Complete Content
- Basics of Stock Trading Volumes
- What is volume, types, and calculation methods
- Concept of liquidity and spreads
- Volume, Liquidity, and Volatility
- The role of volume for liquidity
- The relationship between volume and volatility
- Volume as a Trend and Reversal Indicator
- Confirming trends with volume
- Signs of false breakouts
- Indicators and Methods for Volume Analysis
- Main volume indicators (OBV, VWAP, VSA, Delta)
- Cluster analysis and footprint analysis
- Institutional Volumes and Large Trades
- Recognizing large orders
- The role of institutions
- Psychology and Market Behavior in Relation to Volume
- Herd behavior and emotional traps
- Trader mistakes
- Practical Cases
- Historical volumes during crises
- Cases from the Russian market
- Conclusion and Recommendations on Using Volume
This format will ensure comprehensive and targeted coverage of the topic "How to Analyze Trading Volumes in Stocks," taking into account all user queries and SEO requirements.
