Everyone a "Chain Emperor"? Analysis of the Trading Patterns of "Chain Emperors"
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Everyone a "Chain Emperor"? Analysis of the Trading Patterns of "Chain Emperors"
"Based on high returns and frequent trading, I selected 8 top trader addresses from the gmgn platform's 7-day return leaderboard. Then, I fed their trading data into an AI Agent I created to analyze each address's trading patterns."
Navigating Web3 tides with focused insightsAuthor: NingNing
Once you dive into MeMe coins, it's like plunging into an endless sea. After 48 hours of on-chain PVP, your consciousness gradually blurs—suddenly jolted from the causality-driven phenomenal world into the subconscious realm ruled by uncertainty. Rationality gets crushed repeatedly by the market, the self becomes weak, helpless, and lost. You’re just not okay anymore.
According to Dune dashboard data, 2zBoK currently launches ~25,000 meme coins per day, with only ~400 successfully listed on DEXs—a success rate of ~1.63%. Based on my brief experience, only a tiny fraction of these ~400 launched MeMe coins manage to break through the $1M market cap threshold. And even if they miraculously surpass $1M market cap, most MeMe coins have a normal lifespan of just 48 hours.
From this data, we can see where meme coin trading sits on the spectrum between gambling and investing—it leans much closer to gambling. But unlike previous generations of on-chain gambling such as dice, slot machines, Crash, or 1000x futures, MeMe coins are more addictive due to their unpredictable rewards (ever-changing odds).
Moreover, the market cap and unrealized P&L of meme coin holders are essentially a modern financial illusion. The actual static withdrawable value for all holders of a given MeMe coin equals only half of the liquidity pool value.
I conducted statistical analysis on the latest 24-hour data for popular meme token pools versus market caps. The distribution of pool-to-market-cap ratios is as follows:
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Ultra-high ratio (>100%): 5 projects
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High ratio (50–100%): 12 projects
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Medium ratio (20–50%): 28 projects
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Low ratio (<20%): 15 projects
The mainstream pool-to-market-cap ratio ranges between 30% and 60%. This means that for these popular meme coins, the static realizable value across all holders is only 15%–30% of their stated market cap.
Of course, unless under extreme risk events, it’s unlikely that all holders would simultaneously attempt to exit. Holders can dynamically exit during periods of active trading, after accounting for gas fees, priority fees, slippage, and other transaction costs.
Given these factors, meme coin trading differs significantly from other markets. As newcomers stepping into the meme coin battlefield, instead of spending substantial time, energy, and capital building our own trading frameworks, we might be better off adopting a “take-what-works” approach—directly borrowing the trading frameworks of top on-chain PVP players.
Basing selection on high returns and frequent trades, I identified 8 top on-chain addresses from the gmgn platform’s 7-day return leaderboard. I then fed their trading data into an AI agent I built to analyze each address’s trading patterns. Below are the results:
Trading Pattern of Address 2zBoK
1. Trading Time Characteristics
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Active Period: 24/7 trading
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High-frequency trading: One trade every 3–5 minutes
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Position-building rhythm: Rapid batch accumulation
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Exit characteristics: Stepwise reduction
2. Operational Tactics
Entry Strategy:
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Prioritize sniping newly launched tokens
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Focus on high-liquidity coins
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Capture market panic bottoms
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Track trending coins
Exit Strategy:
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Secure 30% profit to recover cost basis quickly
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Sell half position at 50% profit
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Clear speculative positions at 100% profit
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Reserve 10% for deep pullback re-entry
3. Capital Management
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Position sizing: Core position: 20–30% of total capital
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Speculative position: 5–10% of total capital
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Replenishment fund: 15–20% reserve
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Emergency liquidity: >30%
Trading Pattern of Address 52dq6
1. Trading Frequency Characteristics
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High-frequency trader: Average 39.3 trades per day
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Trading time distribution: 24/7
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Maximum consecutive trades on one project: 11 trades (CHAOS)
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Trade interval: Average 15–20 minutes per trade
2. Token Selection Strategy
Main focus tokens: CHAOS (multiple large trades)
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vvaifu (consecutive trades)
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BIOCHAD (high-profit target)
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GRIMES (high-volatility asset)
Trading Traits: Prefers large-cap tokens
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Focused on high-liquidity assets
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Tracks trending coins
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Prioritizes well-known projects
3. Capital Management Strategy
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Position sizing: Standard position: $300–500
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Key projects: $1,000–3,000
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Test position: $100–200
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Follow-up investment: $500–1,000
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Stop-loss strategy: Fast stop-loss: -15%
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Standard stop-loss: -30%
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Maximum stop-loss: -50%
Trading Pattern of Address 4Ye7c
1. Trading Characteristics
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Trading rhythm: Concentrated trading window: 8 AM – 10 PM
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Max consecutive trades on a single asset: 8 trades
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Average trade interval: 15–25 minutes
Stable trading frequency, unaffected by market volatility
Token Selection: Focuses on altGz, degenai, SPOOKYKAT, etc.
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Seeks opportunities primarily in mid-cap tokens
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Favors liquid assets
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Avoids extremely low-market-cap tokens
2. Capital Management Strategy
Entry Characteristics
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Initial position size: $500–1,000
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Add-on conditions: Add when price rises 10%
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Add when volume expands
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Add when breaking key resistance levels
Accumulation rhythm: Complete entry over 3–5 stages
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Each add-on ≤ 50% of initial position
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Total exposure kept under 30%
Exit Characteristics
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Take profits: Begin reducing at 30% gain
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Sell half at 50% gain
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Clear speculative holdings at 100% gain
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Stop-loss settings: Per-trade stop-loss: -15%
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Total position stop-loss: -25%
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Force liquidate if floating loss exceeds 30%
Trading Pattern of Address BieeZ
1. Trading Feature Analysis
Token Selection Traits:
Main focus tokens: TAY (multiple large consecutive trades)
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TOKIDOKI (high-liquidity asset)
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ruby (gradual accumulation target)
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VITARDIO (high-volatility asset)
Trading Frequency Traits
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Extremely high-frequency trader
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Average trade every 6–15 minutes
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Max consecutive trades per asset: 5–8 trades
Trades 24/7, no clear time preference
2. Strategy Analysis
Entry Strategy
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Initial position size: $800–1,200
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Timing: Breakout or stabilization after pullback
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Method: Rapid batch entry
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Confirmation: Supported by volume
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Scaling-in strategy: Add at 10% profit
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Add on 5–8% pullbacks
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Add on breakout past key resistance
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Max add-ons: 3–4 times
Exit Strategy
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Take-profit setup: First take-profit: 30–50%
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Scale out every +20%
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Final take-profit: 150–200%
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Hold 10–20% position
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Stop-loss settings: Per-trade stop-loss: -8%
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Total position stop-loss: -15%
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Floating profit protection: Exit if drawdown exceeds 30%
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Time-based stop-loss: Exit if no profit within 15 minutes
Trading Pattern of Address 2vfEa
1. Trading Characteristics
Token Selection Traits
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Core focus: DREAM (primary trading asset)
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WOFAI (secondary trading asset)
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WIFE (supportive trading asset)
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ANTDOG (strategy validation asset)
Strategy Traits
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High concentration on DREAM token
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Deep involvement in a single asset
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Long-term tracking and holding
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Batch entry and exit
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Position management: Single trade size: $500–2,500
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Max holding ratio: 60%
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Add-on ratio: 30–50%
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Reduction ratio: 20–30%
2. Operational Mode Analysis
Entry Traits
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Initial entry: Moderate size ($500–1,000)
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Gradual accumulation (3–5 trades)
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Price structure awareness
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Volume sensitivity
Scaling-in Strategy: Add after breakout confirmation
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Add on pullback stabilization
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Add with volume support
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Add on trend continuation
Exit Traits
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Profit-taking strategy: Staged exits
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Maintain core position
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Trailing take-profit
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Swing trading
Trading Pattern of Address 57hdD
1. Trading Characteristics
Token Selection Traits
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Extremely concentrated on ZENO token
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Deep participation in a single asset
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Full lifecycle tracking of core asset
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Avoids diversified investments
Trading Rhythm Traits
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Initial position: $200–500
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Scaling rhythm: Add once every 20% rise
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Add-on ratio: 30–50%
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Max single trade: ~$2,000
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Time distribution: Holding period: 4–5 days
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Trading window: Focused on Asian hours
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Operation frequency: Monitor every 1–2 hours
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Decision speed: Fast and precise
2. Strategy Analysis
Entry Strategy:
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Break previous high
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Significant volume expansion
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Stabilization after pullback
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Concentrated order book
Entry Method: Small-size testing
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Add after confirmation
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Phased accumulation
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Dynamic adjustment
Exit Strategy: Tiered take-profit
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Rolling hold
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Keep seed position
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Dynamic adjustment
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Stop-loss design: Per-trade stop-loss: -10%
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Total position stop-loss: -20%
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Floating profit stop-loss: -30%
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Time-based stop-loss: Exit if no growth in 2 days
Trading Pattern of Address DVLTL
1. Trading Feature Analysis
Token Selection Traits
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WSOL (large transactions)
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CLNKER (high-frequency operations)
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USDC (liquidity management)
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EVE (swing trading)
Operational Mode Traits
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Capital management: Large trades: $3,000–8,000
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Test trades: $80–300
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Average holding: $500–1,500
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Liquidity reserve: >30%
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Time management: Holding cycle: 1–3 days
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Trade interval: 4–6 hours
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Monitoring cycle: Continuous observation
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Decision timing: Fast
2. Strategy Analysis
Entry Traits
Fundamental Selection: Project fundamentals
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Liquidity analysis
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Funds flow direction
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Market sentiment
Technical Assessment: Trend confirmation
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Price-volume alignment
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Support/resistance levels
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Market structure
Capital Management Strategy
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Position control: Core position: 30–40%
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Swing position: 10–20%
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Test position: 5–10%
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Reserve fund: >30%
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Risk control: Per-trade stop-loss: 15%
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Total position stop-loss: 25%
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Floating profit protection: 30%
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Composite risk limit: 40%
Trading Pattern of Address 7sKVa
1. Trading Characteristics
Operating Style
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High-frequency, small-sized, frequent trading
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Small initial entries
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Fast exits
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Dynamic adjustments
Multi-token rotation
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MOSHI (main)
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Maxwell series
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JUKEBOX
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Roblox
Trading Strategy Traits
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Time management: 24/7 trading
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Average trade every 13 minutes
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Concentrated trading periods
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Flexible adjustments
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Capital management: Per-trade limit: $200–400
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Total exposure: <30%
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Reserved capital: >50%
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Dynamic rebalancing
2. Strategy Analysis
Entry Traits
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Technical choice: Hourly breakout
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Price-volume alignment
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Support/resistance
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Trend confirmation
Entry Method: Test entry
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Gradual scaling in
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Dynamic adjustment
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Timely stop-loss
Exit Strategy
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Take-profit setup: Tiered exits
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Swing realization
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Trend following
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Dynamic adjustment
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Stop-loss control: Per-trade stop-loss: 10%
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Intraday stop-loss: 20%
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Total position stop-loss: 30%
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Time-based stop-loss: 2 hours
We can observe that these MeMe coin on-chain kings exhibit highly diverse trading styles, each with unique advantages:
-- High-Frequency Traders (4Ye7c, 7sKVa):
Advantage: Captures more short-term opportunities
Challenge: Requires exceptional execution capability and system support
-- Value-Oriented Traders (DVLTL, 57hdD):
Advantage: More controllable risk, lower stress
Challenge: Requires strong patience and research ability
-- Balanced Traders (BieeZ, 9X2hv):
Advantage: Better risk-reward balance
Challenge: Requires balanced proficiency across multiple skill areas
The above is an analysis of these meme coin on-chain kings’ trading patterns. However, given limited sample size and short observation period, we cannot yet determine whether their success stems from sheer luck or from superior trading frameworks.
Finally, here is some additional data: correlation between pool size and market cap is 0.83; average daily trading volume / pool ratio: 0.73.
Three traits of high-value meme coins: reasonable pool-to-market-cap ratio (30–60%), stable trading activity, and healthy token distribution (Top 10 holders holding 10%–15%).
That’s all.
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