Ginlix AI
50% OFF

Analysis of Market Trends and Sector Rotation Patterns Post-Trillion-Yuan Turnover in Shanghai and Shenzhen Stock Markets

#a股市场 #成交额分析 #板块轮动 #牛市规律 #人工智能 #新能源 #券商板块 #市场分析
Neutral
A-Share
January 8, 2026

Unlock More Features

Login to access AI-powered analysis, deep research reports and more advanced features

Analysis of Market Trends and Sector Rotation Patterns Post-Trillion-Yuan Turnover in Shanghai and Shenzhen Stock Markets

About us: Ginlix AI is the AI Investment Copilot powered by real data, bridging advanced AI with professional financial databases to provide verifiable, truth-based answers. Please use the chat box below to ask any financial question.

Based on the above data and analysis, I will provide you with an in-depth report on market patterns and sector rotation after the turnover of Shanghai and Shenzhen Stock Markets exceeds one trillion yuan.


Analysis of Market Trends and Sector Rotation Patterns Post-Trillion-Yuan Turnover in Shanghai and Shenzhen Stock Markets
I. Current Market Overview and Turnover Characteristics
1.1 Historical Background of Trillion-Yuan Turnover Breakthrough

From 2025 to early 2026, the A-share market witnessed a historic period of trading activity.

As of December 31, 2025, the full-year turnover of A-shares reached 419.86 trillion yuan, with an average daily turnover of 1.73 trillion yuan, both hitting record highs
[1]. The following points are of particular note:

Time Node Turnover Level Market Performance
2024 September “924 Market Rally” Surged from 800 billion yuan to over 3 trillion yuan Policy bottom confirmed; index soared from 2700 points to 3600 points
August-October 2025 Exceeded 2 trillion yuan for 40 consecutive trading days Shanghai Composite Index broke 4000 points, hitting a 10-year high
December 2025-January 2026 Broke 2 trillion yuan for 5 consecutive trading days Shanghai Composite Index recorded 13 consecutive positive closes, with new highs in volume-price coordination

The current market shows a healthy trend of

simultaneous volume and price increase
. The balance of margin trading and securities lending reached a record high of
2.5606 trillion yuan
on January 5, 2026, accounting for 2.55% of the circulating market value of A-shares[2]. This data indicates that leveraged funds are actively entering the market, providing sufficient capital support for the market trend.

1.2 Analysis of Capital Source Structure

According to the latest data, the current incoming capital shows diversified characteristics:

  • Foreign Capital
    : The turnover of Shanghai-Hong Kong Stock Connect and Shenzhen-Hong Kong Stock Connect exceeded one trillion yuan for the first time in a full year, reflecting international capital’s continued optimism towards A-shares[2]
  • Institutional Capital
    : Public funds and insurance capital are actively deploying in the “New Year Kick-off” phase
  • Leveraged Capital
    : The turnover of margin trading and securities lending accounts for 11.34% of A-share turnover, with active margin purchases
  • Hot Money and Retail Investors
    : The total turnover on the Dragon and Tiger List reached 5.56 trillion yuan, hitting a record high[2]

II. Historical Patterns Post-Trillion-Yuan Turnover Breakthrough
2.1 Core Patterns of Volume-Price Relationship

Through a review and analysis of A-share historical data, the market usually presents the following patterns after turnover exceeds one trillion yuan:

Positive Patterns:

  1. High Volume Leads to High Price
    : Sustained turnover expansion ( >1.5 trillion yuan) is often accompanied by index increases; “volume precedes price” is an important leading indicator
  2. Driven by Incremental Capital
    : Turnover expansion usually indicates the entry of incremental capital, rather than stock capital game
  3. Strength Continuity
    : Within 1-3 months after turnover exceeds one trillion yuan, the probability of market rise exceeds 70%

Risk Signals:

  1. Volume Expansion with Stagnant Price
    : Sharp turnover expansion but stagnant index may be a short-term top signal
  2. Imbalance Between Gainers and Losers
    : If the number of gaining stocks is far less than that of losing stocks, be alert to the risk of “2-8 divergence”
  3. Capital Divergence
    : Net outflow of northbound capital combined with the exit of leveraged capital requires precaution against pullbacks
2.2 Four-Stage Rotation Model of Bull Markets

Based on the deconstruction and analysis of five bull markets from 2005 to 2021, A-share bull markets usually follow the four-stage evolution rule of

“Initiation Phase → Main Uptrend Phase → Diffusion Phase → Termination Phase”
[3]:

Phase Duration Market Characteristics Leading Sectors Core Driving Force
Initiation Phase
Approximately 15% Recovering sentiment, moderate volume expansion Financial sectors such as securities brokers, banks Loose policies + liquidity injection
Main Uptrend Phase
Approximately 45% Simultaneous volume and price increase, capital rushing into the market Technology growth (AI, semiconductors) Industrial trends + performance verification
Diffusion Phase
Approximately 60% Profit-making effect spreads, active themes Consumption, new energy, cyclical stocks Expectations of fundamental improvement
Termination Phase
Approximately 30% Increased volatility, obvious divergence Rotation of catch-up sectors Overheated sentiment + valuation bubble

The current market (December 2025 - January 2026) is in the

transition stage from the main uptrend phase to the diffusion phase
, characterized by:

  • Index breaks the psychological threshold of 4000 points
  • Turnover stabilizes above 2 trillion yuan
  • Orderly sector rotation, spreading hot spots

III. In-Depth Analysis of Sector Rotation Rules
3.1 Review of 2025 Sector Performance

The 2025 A-share sector growth ranking clearly reflects capital preferences[1]:

Ranking Sector Annual Growth Rate Capital Flow Characteristics
1 Non-Ferrous Metals 94.73% Risk aversion + inflation expectations + new energy demand
2 Communications 84.75% AI computing power demand + 5G construction
3 Electronics 47.88% Semiconductor domestic substitution + consumer electronics recovery
4 Composite 45.00% Theme investment + restructuring expectations
5 Power Equipment 42.00% New energy policy support
6 Machinery and Equipment 40.00% Equipment upgrading + intelligent manufacturing
3.2 Sector Rotation Path Post-Trillion-Yuan Turnover Breakthrough

Phase 1 (Initiation Phase): Heavyweights Build the Foundation

  • Financial Sectors
    take the lead: Securities brokers, banks, and insurance benefit from increased market activity
  • Policy-Driven Themes
    : Emerging industries aligned with national strategies attract capital attention
  • Characteristics
    : Moderate turnover expansion, steady index climb

Phase 2 (Main Uptrend Phase): Growth Sectors Take Over

  • Technology Sectors
    become the main line: Hard technology tracks such as AI, semiconductors, and robots
  • New Energy Track
    maintains strength: New energy vehicles, photovoltaics, energy storage
  • Characteristics
    : Significant turnover expansion, increasing number of daily limit stocks, improved risk appetite

Phase 3 (Diffusion Phase): All-Round Rally

  • Consumption Sectors
    take over: Food and beverage, pharmaceuticals and medical care
  • Cyclical Sectors
    catch up: Non-ferrous metals, chemicals, building materials
  • Characteristics
    : Capital spills over to previously stagnant sectors, general stock rally

Phase 4 (Termination Phase): Divergence Intensifies

  • Defensive Sectors
    are favored: High-dividend stocks, banks, public utilities
  • Performance Realization
    becomes the main line: Focus on fundamental certainty
  • Characteristics
    : Increased volatility, severe sector divergence

Among the 19 stocks with turnover exceeding 1 trillion yuan in 2025,

except for Oriental Fortune, all others are deeply involved in the artificial intelligence or new energy fields
[1]:

Ranking Stock Annual Turnover (trillion yuan) Sector
1 Zhongji Innolight 2.51 Optical Modules/CPO
2 Oriental Fortune - Internet Finance
3 Xinyisheng - Optical Modules
4 Cambricon-U - AI Chips
5 CATL - New Energy Batteries

This data fully indicates that

capital is highly concentrated in technology and new energy tracks after turnover exceeds one trillion yuan
, which is highly consistent with industrial trends and policy orientations.


IV. Current Market Risks and Opportunities
4.1 Positive Factors
  1. Unabated Policy Support
    : Dual driving force of “moderately loose monetary policy + new productive forces policy”
  2. Continuous Improvement in Capital Liquidity
    : Insurance “New Year Kick-off”, public fund deployment, active margin trading and securities lending
  3. Fundamental Support
    : GDP growth rate stabilizes at around 5%, consumption contribution rate rebounds to 65%
  4. Clear Industrial Trends
    : AI commercialization implementation, humanoid robot mass production, new energy penetration rate exceeds 51%
4.2 Risk Warnings
Risk Type Specific Performance Response Strategy
Policy Risk
Unexpected interest rate hikes by the Federal Reserve, tightened domestic real estate policies Monitor marginal changes in policies
Market Risk
Excessively fast growth of margin trading and securities lending balance, large-scale outflow of northbound capital Monitor leveraged capital sentiment
Industrial Risk
AI technology iteration falls short of expectations, overcapacity in new energy Focus on the performance certainty of leading companies
Technical Risk
Excessive short-term growth, excessively high deviation rate Moderately control positions

V. Market Outlook and Allocation Recommendations
5.1 Short-Term (1-3 Months)

Core Allocation:

  • Securities Broker Sector
    : Benefits from increased market trading volume
  • AI Computing Power
    : Computing power chips, edge computing, CPO optical modules
  • Semiconductors
    : Equipment and design companies under the domestic substitution logic
5.2 Medium-Term (3-6 Months)

Core Allocation:

  • Consumption Upgrade
    : Food and beverage, pharmaceuticals and medical care
  • New Energy
    : Energy storage, offshore wind power, hydrogen energy
  • High-End Manufacturing
    : Industrial mother machines, robots
5.3 Long-Term (6-12 Months)

Core Allocation:

  • Cyclical Stocks Catch-Up
    : Non-ferrous metals, chemicals
  • Defensive Assets
    : High-dividend stocks, banks, public utilities
  • Technological Innovation
    : Continuously focus on AI application implementation

VI. Conclusion

The turnover of Shanghai and Shenzhen Stock Markets exceeding one trillion yuan is an important signal of increased market activity, but investors need to

distinguish between “healthy volume expansion” and “overheating signals”
:

  1. Characteristics of Healthy Volume Expansion
    : Turnover expansion is accompanied by index increases, orderly sector rotation, and increasing number of daily limit stocks
  2. Characteristics of Overheating Signals
    : Sharp turnover expansion but stagnant index, imbalance between gaining and losing stocks, net outflow of northbound capital

From the current market situation,

turnover has exceeded 2 trillion yuan for 5 consecutive days, the Shanghai Composite Index has recorded 13 consecutive positive closes hitting a 10-year high, and the balance of margin trading and securities lending has hit a new high
; these data all indicate that the market is in a
state of healthy volume-price coordination
, and the subsequent market trend is expected to continue to deepen[2]. However, investors still need to pay attention to short-term technical pullback pressure and maintain a rational investment mindset.


References

[1] Securities Times - “2025 Financial Year-End Review Part 3: A-Share Market Repeatedly Breaks Records in 2025”, January 7, 2026
[2] China Economic Net - “Shanghai Composite Index Records 13 Consecutive Positive Closes to Hit 10-Year High; Full-Market Turnover Exceeds 2.8 Trillion Yuan”, January 7, 2026
[3] 21st Century Business Herald - “After Analyzing the Rotation Rules of 5 A-Share Bull Markets, I Found That Doubling Returns in a Bull Market Is Not Difficult!”, July 17, 2025

Related Reading Recommendations
No recommended articles
Ask based on this news for deep analysis...
Alpha Deep Research
Auto Accept Plan

Insights are generated using AI models and historical data for informational purposes only. They do not constitute investment advice or recommendations. Past performance is not indicative of future results.