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The secret of chip distribution helps investors understand market sentiment. Many analysts believe that chip distribution can predict stock price trends. It reflects capital flow and changes in market costs. By observing chip structures, investors can identify the controlling behavior of major players. Structural analysis and identification of major player behavior enhance decision-making efficiency. Practical techniques transform theoretical knowledge into actionable operations.
The secret of chip distribution lies in revealing the holding costs and investor psychology across different price ranges in the market. Chip distribution theory falls within the scope of technical analysis. It not only focuses on price and trading volume but also reflects fundamental changes to some extent. Many investors use chip distribution as a speculative analysis tool to gain insights into stock price fluctuations and market dynamics.
Chip distribution, by analyzing historical transaction data, shows the concentration of holdings in different price ranges. Investors can use this to determine which price ranges have concentrated chips and which have dispersed chips. Concentrated chip zones often become support or resistance levels for future stock prices.
The secret of chip distribution is also evident in revealing the controlling behavior of major players. Major funds, during stages such as accumulation, price pull-up, washout, and distribution, form distinct chip structures in different price ranges. By analyzing these structures, investors can potentially identify the operational intentions of major players in advance.
The structural analysis of chip distribution focuses on the distribution patterns of chips across different price ranges. By analyzing the concentration and changes in chip distribution, investors can infer market costs and future price trends. The secret of chip distribution lies in revealing the average holding costs of market participants and the control zones of major funds.
In financial literature, chip distribution is often described using quantitative methods. The table below outlines common quantitative definitions of chip distribution:
| Definition | Description |
|---|---|
| Test Data Matrix | A batch of historical chip transaction data can be arranged into an m×n floating-point data matrix. |
| Perfect Vector | A 1×n vector of ideal quality values, serving as a benchmark for actual test data. |
| Upper Quality Vector | Defines the quality range above the perfect vector. |
| Lower Quality Vector | Defines the quality range below the perfect vector. |
| Benchmark Parameter | The average value of each column represents the benchmark for the parameter. |
| Standard Deviation | Used to calculate the distance between test data and the benchmark. |
Changes in chip distribution structures are closely related to stock price trends. When chips are concentrated at low price levels, it indicates lower market costs, and major players may be in the accumulation phase. Dense chips at high price levels often signal distribution intentions by major players, increasing market risks. The secret of chip distribution helps investors identify the control zones of major players and determine market pressure and support levels.
Investors can also observe cost shifts in the market by tracking changes in chip distribution. For example, a shift of chips from low to high price levels suggests that major players are gradually pushing up costs, potentially entering a pull-up phase. Conversely, a shift from high to low price levels may indicate distribution by major players, increasing market risks.

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The low-level single peak pattern in chip distribution charts shows chips concentrated in a lower price range. Investors often consider this pattern as indicative of a market bottom, but the reality is more complex. The secret of chip distribution reveals that a low-level single peak does not always signal a bottom. The market may continue to consolidate at low levels, and chips may not immediately drive price increases. Investors need to confirm this with changes in trading volume and price fluctuations. For instance, if a low-level single peak is accompanied by increased trading volume and stabilizing prices, the likelihood of a market reversal increases.
Tip: After a low-level single peak appears, if prices remain flat with low trading volume, be cautious as major players may not have completed accumulation, and short-term upward momentum may be insufficient.
The multi-peak distribution pattern indicates chips forming distinct concentration zones across multiple price ranges. This pattern reflects significant market divergence, with investors holding positions at various price levels. Multi-peak distribution is common in consolidating markets, where major funds have not yet established a clear control advantage. When analyzing multi-peak distribution, investors should focus on price fluctuations between chip concentration zones. If chips in one peak zone decrease while increasing in another, it may indicate a shift in market costs, with subsequent price trends following the behavior of major players.
The high-level dense pattern shows chips concentrated in a higher price range. This pattern typically appears after a stock has experienced a rally, with major funds beginning to distribute chips in batches at high levels. The secret of chip distribution reveals that high-level density often signals increased market risks, with prices vulnerable to selling pressure. Investors encountering high-level density should closely monitor changes in trading volume. If chips continue to accumulate at high levels with increased trading volume, signs of distribution by major players become evident, increasing the likelihood of a price pullback.
| Pattern Type | Chip Distribution Feature | Market Signal |
|---|---|---|
| Low-Level Single Peak | Chips concentrated in low-price zone | Requires confirmation with volume and price |
| Multi-Peak Distribution | Multiple concentration zones | Clear market divergence |
| High-Level Dense | Chips concentrated in high-price zone | Increased risks |
The chip transfer pattern refers to the movement of chips from one price range to another. This process is common during trend reversal phases. Studies show that the V-shaped pattern is the most typical chip transfer reversal signal. The V-shaped pattern often appears after a sharp price decline, followed by a strong buying trend, ultimately driving a rapid price rebound. Neural network predictors assign high predictive scores to declining stocks in the first half of the V-shaped pattern, indicating that chip transfer has strong predictive value for trends. Investors can use the secret of chip distribution to identify the chip transfer process and seize market reversal opportunities.

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Major funds exhibit clear characteristics of the secret of chip distribution during the accumulation phase. Chip concentration gradually increases, with chips primarily gathering in lower price ranges. Market makers attract retail investors to sell chips at low levels through repeated small-scale oscillations. Major players use washout operations to reduce selling pressure and optimize their holding structures. Chip distribution charts show that chip concentration zones gradually shift toward lower levels, reducing market costs and enhancing major players’ control.
During accumulation, the secret of chip distribution is reflected in increased chip concentration and reduced holding costs. Investors can assess major player behavior through chip ratings.
| Rating | Meaning |
|---|---|
| A | Heavy buying |
| B | Moderate buying |
| C | Equal buying and selling |
| D | Moderate selling |
| E | Heavy selling |
During the accumulation phase, major players often manipulate market sentiment to force retail investors to sell at low levels, creating conditions for subsequent pull-ups. The secret of chip distribution helps investors identify signs of accumulation, avoiding premature selling at low levels.
During the pull-up phase, major funds drive rapid price increases. Chip distribution charts show that chip concentration zones move upward with prices, and market costs gradually rise. During the buying climax, trading volume significantly increases, and market sentiment is bullish. Heavy public buying pushes prices higher. The secret of chip distribution in this phase is reflected in chips concentrating at higher levels, with major players’ control reaching its peak.
Market makers often conduct washout operations during the pull-up process. Washouts aim to clear floating chips, reducing resistance to further increases. Major players use short-term oscillations to force some investors to sell at high levels, further optimizing their holding structures. Chip distribution charts show increased chip concentration and reduced market pressure.
During the buying climax, prices surge, and trading volume increases. Public buying is active, and market sentiment is optimistic. Major players gradually complete chip transfers in this phase, preparing for subsequent distribution and selling.
During the distribution phase, major funds begin selling chips in batches at high levels. Chip distribution charts show that chip concentration zones are in high-price ranges, with market risks significantly increasing. Major players release chips slowly to avoid sharp price declines. The distribution process is often accompanied by price oscillations and pullbacks, with increased trading volume and gradually cautious market sentiment.
| Price Range | Holding Proportion | Description |
|---|---|---|
| $49 - $396 | 13.5% | Proportion of circulating supply still held after years in the market. |
| $2425 - $2970 | 23% | ETH’s strongest support level, with the highest holding proportion. |
| Current Price | $4,257 | Proportion of chips held above this price is 7.52%. |
| -20% Price Range | $3,405-$4,257 | Proportion of chips held in this range is only 10.1%. |
External factors also influence major players’ distribution behavior. For example, political factors such as tariff changes can lead to rapid declines in major chip manufacturers’ stock prices. Rising tariffs may increase corporate costs, affecting profit margins and market demand, triggering large-scale sell-offs.
The secret of chip distribution is particularly important during the distribution phase. By observing chip concentration and the balance of buying and selling forces, investors can assess major players’ control and market pressure, avoiding risks in a timely manner.
When analyzing chip distribution, investors often focus on the position of chip concentration zones and changes in trading volume. In the U.S. market, if chips are concentrated in low-price zones with gradually increasing trading volume and stabilizing prices, investors can consider buying. Technical indicators like MACD and RSI can also assist in determining buy timing. Chip distribution charts showing chips concentrating at low levels indicate clear accumulation by major funds. Investors can combine price breakouts through chip concentration zones with increased trading volume to formulate buy plans.
Tip: Before buying, investors should check if chip distribution charts and technical indicators align. If chips are concentrated but trading volume is low, exercise caution and wait for further confirmation.
Sell timing and stop-loss strategies are equally important. In the U.S. market, chip distribution charts showing dense chips in high-price zones with sustained increases in trading volume suggest that major funds may be distributing. Investors should combine technical indicators like KDJ and Bollinger Bands to determine if prices break below the lower boundary of chip concentration zones. If prices fall below the chip support zone with increased trading volume, investors should sell promptly or set stop-losses. Stop-loss levels can reference the support zone below the chip distribution to avoid significant losses from rapid price declines.
| Operation Principle | Reference Signal | Description |
|---|---|---|
| Sell | High-level chip density + increased volume | Increased distribution risk by major players |
| Stop-Loss | Break below chip support zone | Prevents loss expansion |
Position management helps investors control risks and achieve stable returns. U.S. market investors can adjust position proportions based on changes in chip distribution. If chip concentration increases, indicating clear major player control, investors can appropriately increase positions. If chips are dispersed, suggesting greater market divergence, reducing position proportions and diversifying risks is advisable. Investors should also combine technical indicators and market trends to dynamically adjust position structures. Regularly reviewing chip distribution charts helps identify changes in major player behavior and optimize investment strategies.
Suggestion: Investors should combine chip distribution analysis with technical indicators to avoid misjudgments from single signals. Scientifically managing position proportions enhances investment safety and return stability.
Chip distribution analysis is widely applied in the U.S. market. Many investors observe the position of chip concentration zones and combine them with trading volume changes to gauge major fund movements. For example, a tech stock, after a price decline, saw chips gradually concentrate at low levels, followed by increased trading volume and a price rebound. Investors capitalized on this to capture short-term opportunities and achieve profits.
In practice, investors also combine technical indicators like MACD and RSI to further confirm buy and sell signals. Chip distribution not only helps identify accumulation and distribution by major players but also aids in determining market pressure and support zones.
Chip distribution analysis offers several advantages. It intuitively reflects market cost structures, reveals major player behavior, and helps investors time buy and sell decisions. However, studies highlight certain limitations:
Investors should recognize that chip distribution analysis is not a foolproof tool and should be combined with multiple methods for comprehensive judgment.
Investors relying on chip distribution for decision-making should be cautious of various risk factors.
Continuous learning helps reduce analytical risks. Investors can use scenario planning and modeling techniques to predict future risks and formulate flexible strategies. Establishing a culture of continuous learning, with regular training and knowledge sharing, enables investors to stay informed about emerging risks and mitigation methods.
Risk prevention relies not only on the tool itself but also on investors continuously improving their knowledge and adaptability.
Chip distribution provides investors with an effective tool to analyze market sentiment and major player behavior. By mastering chip distribution structures, they can enhance the accuracy of buy and sell decisions. Practical techniques and risk control are equally important. Investors should combine their investment style, continuously learn chip distribution knowledge, and optimize trading strategies. Viewing chip distribution rationally and focusing on long-term stable returns helps achieve investment goals.
Chip distribution cannot predict stock prices alone. Analysts typically combine trading volume, technical indicators, and market trends for comprehensive judgment.
Investors observe chip concentration zones and trading volume changes. During accumulation, chips concentrate in low-price zones; during distribution, they concentrate in high-price zones.
Chip distribution analysis is suitable for actively traded stocks with high trading volume, such as U.S. stocks. Tech stocks and blue-chip stocks often exhibit clear chip distribution patterns.
Analysts combine technical indicators like MACD and RSI with chip distribution charts. Multiple signal confirmations improve the accuracy of buy and sell decisions.
Data errors, market sudden events, and changes in major player behavior can affect analysis results. Investors should continuously learn and operate cautiously.
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