"Based on the criteria of 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."

Written by: NingNing

Once you enter the MeMe coin world, it feels like falling into a deep sea. After 48 hours of on-chain PVP, consciousness gradually blurs, as if falling from a realm governed by causal logic into a subconscious domain 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 about 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 the $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 like dice, slot machines, Crash, and thousand-fold contracts, MeMe coins are more addictive due to the uncertainty of rewards (odds that change unpredictably).

Moreover, the market value of MeMe coins and the unrealized profits in accounts 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 latest 24-hour popular meme token pools - market value data, with the pool/market value ratio distribution 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 a trading-active market state after paying gas fees + priority fees + slippage and other comprehensive trading costs.

For the above reasons, the trading patterns of meme coins differ significantly 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 on-chain PVP emperors.

Based on the criteria of 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: All-day trading
• High-frequency Trading Characteristic: One trade every 3-5 minutes
• Position Building Rhythm: Rapid batch position building
• Position Closing Characteristics: Ladder-style reduction

2. Operational Technique Characteristics

Entry Strategy:

• Prioritize grabbing new coins upon first listing
• 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 trades per day
• Trading Time Distribution: All-day trading
• Maximum consecutive trades on a single project: 11 trades (CHAOS)
• Trading Interval: Average 15-20 minutes per trade

2. Target Selection Strategy

Key Focus Tokens: CHAOS (multiple large trades)

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

Trading Characteristics: Preference for 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 trades on a single variety: 8 trades
• Average trading interval: 15-25 minutes

Stable trading frequency, unaffected by market fluctuations

Target Selection: Key focus on: 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 adding positions: Add after a 10% price increase
• Add when volume increases
• Add when breaking through key positions

Position Building Rhythm: Complete position building in 3-5 batches

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

Exit Characteristics

• Take profit: Start reducing positions at 30% profit

• Halve position at 50% profit

• Clear floating positions at 100% profit

• Stop-loss settings: Single trade stop-loss: -15%

• Total position stop-loss: -25%

• Force liquidation if floating loss exceeds 30%

Trading Pattern of Address BieeZ

1. Trading Characteristic Analysis

Target Selection Characteristics:

Key Focus Tokens: TAY (multiple large trades)

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

Trading Frequency Characteristics

• Extremely high-frequency trader
• Average one trade every 6-15 minutes
• Maximum consecutive trades on a single target: 5-8 trades

All-day 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

• Adding positions strategy: Add at 10% profit level

• Add on 5-8% pullback

• Add on breakthrough at key resistance level

• Maximum number of additions: 3-4 times

Exit Strategy

• Take profit settings: First take profit: 30-50%

• Gradual reduction: Every 20% increase

• Final take profit: 150-200%

• Retain position: 10-20%

• Stop-loss settings: Single trade stop-loss: -8%

• Total position stop-loss: -15%

• Floating profit stop-loss: Retracement over 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 trade size: $500-2500

• Maximum holding ratio: 60%

• Adding position ratio: 30-50%

• Reducing position ratio: 20-30%

2. Operational Mode Analysis

Entry Characteristics

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

Adding Position Strategy: Add after confirming a breakthrough

• Add on stabilization after a pullback
• Add on volume matching
• Add on trend continuation

Exit Characteristics

• Take profit strategy: Segment take profit
• Retain core position
• Track take profit
• 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

• Adding position rhythm: Increase once every 20% rise

• Adding position ratio: 30-50%

• Maximum single trade: 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 previous highs
• Volume significantly increases
• Stabilization after a pullback
• Concentrated chips

Position Building Method: Small position trial

• Add after confirmation
• Batch position building
• Dynamic adjustment

Exit Strategy: Take profit settings for segmented take profit

• Rolling hold

• Retain seed position

• Dynamic adjustment

• Stop-loss design: Single trade 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 Characteristic Analysis

Target Selection Characteristics

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

Operational Mode Characteristics

• Large operation in capital management: $3,000-8,000

• Exploratory operations: $80-300

• Average position: $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%

• Reserved funds: >30%

• Risk control single trade 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 transactions
• Small position building
• Quick position closing
• Dynamic adjustments

Multi-token rotation

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

Trading Strategy Characteristics

• Time management all-day trading

• Average one trade every 13 minutes

• Concentrated trading periods

• Flexible adjustments

• Capital management single trade limit: $200-400

• Total position: 30%

• Reserved funds: >50%

• Dynamic balance

2. Strategy Analysis

Entry Characteristics

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

Position Building Method: Exploratory Position Building

• Batch position increases
• Dynamic adjustments
• Timely stop-loss

Exit Strategy

• Take profit settings: gradient take profit

• Swing closure

• Trend tracking

• Dynamic adjustments

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

• Intraday stop-loss: 20%

• Total position stop-loss: 30%

• Time stop-loss: 2 hours

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

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

Advantage: Capture more short-term opportunities

Challenge: Requires 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 a balance of multiple capabilities

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

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 holders at 10%-15%).

That's all.

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