Once you enter the MeMe coin, it feels as deep as the sea. After 48 hours of on-chain PVP, consciousness gradually blurs, as if falling from the realm of causality into the subconscious dominated by uncertainty. Rationality is crushed back and forth by the market, the self becomes weak, helpless, and lost, and the whole person feels unwell.

According to Dune panel data, 2zBoK currently launches about 25,000 meme coins daily, with around 400 successfully listed on DEX each day, resulting in a launch success rate of approximately 1.63%. Based on my brief experience, only a small proportion of the approximately 400 successfully launched MeMe coins can break through the $1M market cap barrier. Even if they are lucky enough to surpass a $1M market cap, most MeMe coins have a normal lifespan of only 48 hours.

From the above data, it can be seen that meme coin trading is positioned closer to gambling on the spectrum from gambling to investment. However, unlike the previous generation of on-chain gambling games such as dice, slot machines, Crash, and 1000x contracts, MeMe coins are more addictive due to the uncertainty of rewards (odds are unpredictable).

Moreover, the market value and unrealized profits of MeMe coins are essentially a modern financial sleight of hand. The static actual extractable value for all holders of a certain MeMe coin is only half of the pool value.

I conducted a statistical analysis of the popular meme token pools' market value data over the latest 24 hours, and the pool/market value ratio distribution is as follows:

• Extremely high ratio (>100%): 5 projects
• High ratio (50-100%): 12 projects
• Medium ratio (20-50%): 28 projects
• Low ratio (<20%): 15 projects

The mainstream pool/market value ratio is between 30% and 60%. This means that the static actual extractable value for all holders of these popular meme coins is only 15% to 30% of their market value.

Of course, unless there is an extreme risk event, it is generally unlikely for all holders to redeem simultaneously. Holders can dynamically exit from the actively trading market state after paying for gas fees + priority fees + slippage and other comprehensive trading costs.

Considering the above reasons, the trading model of meme coins is significantly different from other markets. As a newbie just stepping into the meme coin battlefield, instead of spending a lot of time, energy, and funds to learn and train our own meme coin trading framework, it is better to adopt a "borrowing" approach to directly reference the trading frameworks of the on-chain PVP emperors.

Based on high yield and high trading frequency, I selected 8 on-chain emperor addresses from the 7-day yield leaderboard on the gmgn platform. I then fed their trading data to an AI Agent I created to analyze the trading patterns of each address. Here are the analysis results:

Trading Pattern of Address 2zBoK

1. Trading Time Characteristics

• Active Period: 24/7 trading
• High-frequency trading characteristic: one transaction every 3-5 minutes
• Position building rhythm: rapid batch position building
• Closing characteristics: tiered reduction

2. Operational Technique Characteristics

Entry Strategy:

• Prioritize seizing new coins at their first launch
• Focus on high liquidity coins
• Capture market panic bottoms
• Track trending coins

Exit Strategy:

• Quickly recoup 30% profit
• Halve position at 50% profit
• Clear floating positions at 100% profit
• Reserve 10% for deep pullback replenishment

3. Capital Management Model

• Position Control: Main position: 20-30% of total capital
• Speculative position: 5-10% of total capital
• Replenishment funds: 15-20% reserves
• Emergency liquidity: >30%

Trading Pattern of Address 52dq6

1. Trading Frequency Characteristics

• High-frequency trader: average 39.3 transactions per day
• Trading time distribution: 24/7 trading
• Maximum consecutive transactions for a single project: 11 transactions (CHAOS)
• Trading interval: average 15-20 minutes per transaction

2. Target Selection Strategy

Key focus tokens: CHAOS (multiple large transactions)

• vvaifu (consecutive transactions)
• BIOCHAD (high profit target)
• GRIMES (high volatility target)

Trading characteristics: prefers large market cap tokens

• Focus on high liquidity targets
• Track trending coins
• Prioritize well-known projects

3. Capital Management Strategy

• Position Control: Standard position: $300-500

• Key projects: $1000-3000

• Exploratory position: $100-200

• Follow-up position: $500-1000

• Stop-loss strategy: quick stop-loss: -15%

• Regular stop-loss: -30%

• Maximum stop-loss: -50%

Trading Pattern of Address 4Ye7c

1. Trading Characteristics

• Trading rhythm: concentrated trading period: 8 AM - 10 PM
• Maximum consecutive transactions for a single variety: 8 transactions
• Average trading interval: 15-25 minutes

Trading frequency is stable and not affected by market fluctuations.

Target selection: Key focus: altGz, degenai, SPOOKYKAT, etc.

• Often look for opportunities among medium market cap tokens
• Prefer targets with better liquidity
• Avoid extremely low market cap tokens

2. Capital Management Strategy

Entry Characteristics

• Initial position size: $500-1000
• Conditions for increasing position: add after a 10% price increase
• Add when volume expands
• Add when breaking through key positions

Position building rhythm: complete in 3-5 batches

• Single addition not exceeding 50% of the initial position
• Total position controlled within 30%

Exit Characteristics

• Take profit: start reducing position at 30% profit

• Halve position at 50% profit

• Clear floating positions at 100% profit

• Stop-loss settings: single stop-loss: -15%

• Total position stop-loss: -25%

• Force liquidation if floating loss exceeds 30%

Trading Pattern of Address BieeZ

1. Trading Feature Analysis

Target selection characteristics:

Key focus token: TAY (multiple large transactions)

• TOKIDOKI (high liquidity target)
• ruby (batch position building target)
• VITARDIO (high volatility target)

Trading frequency characteristics

• Extremely high-frequency trader
• Average one transaction every 6-15 minutes
• Maximum consecutive transactions for a single target: 5-8 transactions

24/7 trading, no obvious time preference.

2. Operational Strategy Analysis

Entry Strategy

• Initial position size: $800-1200

• Timing: breakthrough or stabilization after a pullback

• Method: rapid batch

• Verification: volume matching

• Add position strategy: profit-add position at 10% profit level

• Pullback-add position at 5-8% pullback level

• Breakthrough-add position at key resistance level

• Maximum addition times: 3-4 times

Exit Strategy

• Profit-taking settings: first profit-taking at 30-50%

• Batch reduction: every 20% increase

• Final profit-taking: 150-200%

• Retain position: 10-20%

• Stop-loss settings: single stop-loss: -8%

• Total position stop-loss: -15%

• Floating profit stop-loss: if retracement exceeds 30%

• Time stop-loss: no profit for 15 minutes

Trading Pattern of Address 2vfEa

1. Trading Characteristics

Target selection characteristics

• Core focus coin: DREAM (main trading target)
• WOFAI (secondary trading target)
• WIFE (auxiliary trading target)
• ANTDOG (strategy verification target)

Trading strategy characteristics

• Concentration strategy highly focused on DREAM token

• Deeply involved in a single target

• Long-term tracking and holding

• Batch position building and reduction

• Position management: single transaction size: $500-2500

• Maximum holding ratio: 60%

• Addition ratio: 30-50%

• Reduction ratio: 20-30%

2. Operational Mode Analysis

Entry Characteristics

• Initial position: moderate size ($500-1000)
• Batch position building (3-5 transactions)
• Focus on price structure
• Emphasize trading volume

Addition strategy: add after confirming a breakthrough

• Add when stabilizing after a pullback
• Add when volume matches
• Add when trend continues

Exit Characteristics

• Profit-taking strategy: segmented profit-taking
• Retain core position
• Track profit-taking
• Swing trading

Trading Pattern of Address 57hdD

1. Trading Characteristics

Target selection characteristics

• Extremely focused on ZENO token
• Deeply involved in a single target
• Fully track core target
• Avoid diversified investments

Trading pattern characteristics

• Position building characteristics: initial position: $200-500

• Addition rhythm: increase once every 20% rise

• Addition ratio: 30-50%

• Maximum single transaction: around $2,000

• Time distribution holding period: 4-5 days

• Trading period: concentrated in Asian time

• Operation frequency: observe every 1-2 hours

• Decision speed: quick and precise

2. Strategy Analysis

Entry Strategy:

• Price characteristics: break through previous highs
• Volume significantly increases
• Stabilize after a pullback
• Concentrated chips

Position building method: small position trial

• Add after confirmation
• Batch position building
• Dynamic adjustment

Exit Strategy: profit-taking settings: segmented profit-taking

• Rolling hold

• Retain seed position

• Dynamic adjustment

• Stop-loss design: single stop-loss: -10%

• Total position stop-loss: -20%

• Floating profit stop-loss: -30%

• Time stop-loss: no increase for 2 days

Trading Pattern of Address DVLTL

1. Trading Feature Analysis

Target selection characteristics

• Trading coins: WSOL (large transactions)
• CLNKER (high-frequency operations)
• USDC (liquidity management)
• EVE (swing trading)

Operational mode characteristics

• Capital management large transactions: $3,000-8,000

• Exploratory operations: $80-300

• Average holding: $500-1,500

• Liquidity reserve: >30%

• Time management holding period: 1-3 days

• Trading interval: 4-6 hours

• Observation period: continuous monitoring

• Decision time: quick

2. Strategy Analysis

Entry Characteristics

Fundamental selection project fundamentals

• Liquidity analysis
• Capital direction
• Market sentiment

Technical judgment trend confirmation

• Volume-price matching
• Support and resistance
• Market structure

Capital management strategy

• Position control main position: 30-40%

• Swing position: 10-20%

• Exploratory position: 5-10%

• Reserve funds: >30%

• Risk control single stop-loss: 15%

• Total position stop-loss: 25%

• Floating profit protection: 30%

• Composite risk: 40%

Trading Pattern of Address 7sKVa

1. Trading Characteristics

Operational Style

• High-frequency small amount frequent trading
• Small position building
• Quick closing
• Dynamic adjustment

Multi-currency rotation

• MOSHI (main force)
• Maxwell series
• JUKEBOX
• Roblox

Trading strategy characteristics

• Time management 24/7 trading

• Average one transaction every 13 minutes

• Concentrated trading period

• Flexible adjustment

• Capital management single transaction limit: $200-400

• Total position: 30%

• Reserve funds: >50%

• Dynamic balance

2. Strategy Analysis

Entry Characteristics

• Technical selection hourly breakout
• Volume-price matching
• Support and pressure
• Trend confirmation

Position building method exploratory position building

• Batch addition
• Dynamic adjustment
• Timely stop-loss

Exit Strategy

• Profit-taking settings gradient profit-taking

• Swing closure

• Trend tracking

• Dynamic adjustment

• Stop-loss control single stop-loss: 10%

• Intraday stop-loss: 20%

• Total position stop-loss: 30%

• Time stop-loss: 2 hours

We can see that these MeMe coin on-chain emperors exhibit very diverse trading patterns, each with its unique advantages:

-- High-frequency trading type (4Ye7c, 7sKVa):

Advantage: Capture more short-term opportunities

Challenge: Requires extremely strong execution and system support

-- Value investment type (DVLTL, 57hdD):

Advantage: More controllable risk, less pressure

Challenge: Requires strong patience and research ability

-- Balanced type (BieeZ, 9X2hv):

Advantage: Good risk-reward ratio

Challenge: Requires balance of multiple capabilities

The above is an analysis of the trading patterns of meme on-chain emperors, but given the limited sample and short time frame, we cannot yet determine whether their success is due to being favored by luck or their trading patterns.

Finally, here is some additional data: the correlation between pool size and market value is 0.83, and the average daily trading volume/pool ratio is 0.73.

High-value meme coins have three characteristics: reasonable pool ratio (30-60%), stable trading activity, and healthy token distribution (Top 10 holdings at 10%-15%).

That's all.

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