Once you enter the deep sea of meme coins, after 48 hours of on-chain PVP, your consciousness gradually blurs, as if falling from the realm of causal logic into the subconscious realm dominated by uncertainty, rationality is crushed back and forth by the market, and the self becomes small, helpless, and lost, making the whole person feel unwell.



According to Dune panel data, 2zBoK currently launches ~25,000 meme coins daily, successfully listing ~400 on DEX daily, with a launch success rate of ~1.63%. Based on my brief experience, among the ~400 successfully launched meme coins, only a small proportion can break through the $1M market cap threshold. Even if they fortunately break through the $1M market cap, most meme coins' normal lifespan is only 48 hours.


From the above data, we can see 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 such as dice, slot machines, Crash, and thousand-fold contracts, meme coins are more addictive due to the uncertainty of rewards (odds change unpredictably).


Moreover, the market cap and unrealized profits of meme coins are actually a kind of modern financial sleight of hand. The static actual extractable value of all holders of a certain meme coin is only equal to half of the pool value.


I have statistically analyzed the latest 24-hour hot meme token pool-market cap data, and the pool/market cap ratio distribution is as follows:


Ultra-high ratio (>100%): 5 projects


High ratio (50-100%): 12 projects


Medium ratio (20-50%): 28 projects


Low ratio (<20%): 15 projects


Mainstream pool/market cap ratio between 30% and 60%. The static actual extractable value of all holders of these popular meme coins is only 15%-30% of their market cap.


Of course, unless there are extreme risk events, it is generally not possible for all holders to redeem simultaneously. Holders can dynamically exit from an actively traded market state after paying gas fees + priority fees + slippage and other comprehensive trading costs.


Considering the above reasons, the trading patterns of meme coins differ significantly from other markets. As newcomers just stepping into the meme coin battlefield, rather than spending a lot of time, energy, and funds to train our own meme coin trading framework, we might as well adopt the 'borrowing approach' to directly reference the trading framework of on-chain PVP emperors.


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


Trading mode of address 2zBoK


1. Trading Time Features


Active period: all-weather trading


High-frequency trading characteristics: one transaction every 3-5 minutes


Position building rhythm: quick batch building


Liquidation characteristics: stepwise reduction


2. Operation Technique Characteristics


Entry Strategy: Prioritize seizing new coins at first listing, focus on high liquidity coins, capture market panic bottoms, track hot coin trends


Exit strategy: 30% profit quick return, 50% profit reduce position, 100% profit clear floating stock, reserve 10% for deep pullback supplementary position


3. Capital Management Model


Position control: main position: 20-30%


Total capital speculation position: 5-10% of total capital


Supplementary funds: 15-20% reserves


Emergency liquidity: >30%


Trading mode of address 52dq6


1. Trading Frequency Characteristics


High-frequency traders: average 39.3 transactions per day


Trading time distribution: all-weather trading


Maximum continuous trading on a single project: 11 times (CHAOS)


Transaction interval: average 15-20 minutes per transaction


2. Asset Selection Strategy


Key focus tokens:


CHAOS (multiple large transactions)


Continuous Trading


BIOCHAD (high profit target)


GRIMES (high volatility asset)


Trading characteristics: tend to large-cap Tokens, focus on high liquidity assets, track hot coin trends, 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%


Ordinary stop-loss: -30%


Maximum stop-loss: -50%


Trading mode of address 4Ye7c


1. Trade Features


Trading rhythm: concentrated trading


Time period: 8-22 o'clock


A single variety can be traded continuously for a maximum of: 8 times


Average trading interval: 15-25 minutes


Trading frequency stable, unaffected by market fluctuations


Asset selection:


Key focus: altGz, degenai, SPOOKYKAT, etc.


Look for opportunities mainly in medium market cap tokens


Tendency to prefer more liquid assets


Avoid extremely low market cap tokens


2. Capital Management Strategy


Entry characteristics


Initial position amount: $500-1000


Add position conditions:


Add position after price rises by 10%


Add position when volume increases


Add position at breakthrough key locations


Position Building Rhythm:


Complete position building in 3-5 times


Single added position not exceeding 50% of initial position


Total position controlled within 30%


Exit characteristics


Profit-taking:


Start reducing positions at 30% profit


50% profit reduce position


100% profit clear floating stock


Stop-loss setting:


Single stop-loss: -15%


Total position stop-loss: -25%


Floating loss exceeds 30%


Forced liquidation address


Trading mode of BieeZ


1. Trade Feature Analysis


Asset selection characteristics:


Key focus tokens: TAY (multiple large transactions), TOKIDOKI (high liquidity asset), ruby (batch position building asset), VITARDIO (high volatility asset)


Trading Frequency Characteristics


Ultra-high frequency traders


Average every 6-15 minutes one transaction


A single asset can be traded continuously for a maximum of 5-8 times


All-weather trading, no significant time preference


2. Operation Strategy Analysis


Entry Strategy


Initial position characteristics scale: $800-1200


Timing: Breakthrough or steady rebound


Method: Quick batch


Verification: Transaction volume correlation


Add position strategy


Profit-add position: 10% profit level


Add position at retracement: 5-8% retracement level


Add position at breakthrough: key resistance level


Maximum number of added positions: 3-4 times


Exit strategy


Profit-taking setting


First profit-taking: 30-50%


Batch reduction: every increase of 20%


Final profit-taking: 150-200%


Retain position: 10-20%


Stop-loss setting


Single stop-loss: -8%


Total position stop-loss: -15%


Floating profit stop-loss: retracement exceeds 30%


Time Stop-Loss: 15 minutes without profit


Trading mode of address 2vfEa


1. Trade Features


Asset selection characteristics


Core focus tokens:


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 tokens


Deeply involved in a single asset


Long-term tracking holding


Batch position building and reduction


Position management


Single transaction scale: $500-2500


Maximum holding ratio: 60%


Add position ratio: 30-50%


Reduction ratio: 20-30%


2. Operation Mode Analysis


Entry characteristics


Initial position building:


Moderate scale ($500-1000) batch position building (3-5 times)


Focus on price structure


Focus on transaction volume


Add position strategy:


Add position after breakthrough confirmation


Add position at steady rebound


Volume correlation for adding positions


Trend continuation add position


Exit characteristics


Profit-taking strategy:


Segmented profit-taking


Retain core position


Trailing profit-taking


Swing operation


Trading mode of address 57hdD


1. Trade Features


Asset selection characteristics


Extremely concentrated on ZENO tokens


Deeply involved in a single asset


Follow core assets throughout


Avoid diversification of investments


Trading pattern characteristics


Position building characteristics


Starting position: $200-500


Add position rhythm: increase once every 20% rise


Add position 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: fast and accurate


2. Strategy Analysis


Entry Strategy:


Price feature breakthrough previous high


Significantly increased volume


Steady rebound


Chip concentration


Position building method:


Small position trial


Add position after confirmation


Batch position building


Dynamic adjustment


Exit strategy:


Profit-taking set 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: 2 days without increase


Trading mode of address DVLTL


1. Trade Feature Analysis


① Asset Selection Characteristics


Trading tokens:


WSOL (large transaction);


CLNKER (high-frequency operation);


USDC (liquidity management);


EVE (swing operation)


② Operation Mode Characteristics


Capital management large order operation: $3,000-8,000;


Exploratory operation: $80-300


Average holding: $500-1,500;


Liquidity reserve: >30%;


③ Time Management


Holding period: 1-3 days;


Transaction interval: 4-6 hours


Observation period: continuous monitoring


Decision time: fast


2. Strategy Analysis


① Entry Characteristics


Fundamental selection project fundamentals


Liquidity analysis


Capital direction


Market sentiment


Technical judgment trend confirmation


Volume-price correlation


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 stop-loss: 15%


Total position stop-loss: 25%


Floating profit protection: 30%


Composite risk: 40%


Trading mode of address 7sKVa


1. Trade Features


Operational style


High-frequency small amount frequent trading


Small position building


Quick liquidation


Dynamic adjustment


Multi-currency rotation


MOSHI (main force)


Maxwell series


JUKEBOX


Roblox


Trading strategy characteristics


Time management all-weather trading


Average every 13 minutes one transaction


Concentrated trading period


Flexible adjustment


Capital Management


Single transaction limit: $200-400


Total position: <30%


Reserved funds: >50% dynamic balance


2. Strategy Analysis


① Entry characteristics


Technical selection for hourly-level breakthroughs; volume-price correlation; support and resistance; trend confirmation


② Position Building Method


Exploratory position building; batch adding positions; dynamic adjustment; timely stop-loss


③ Exit Strategy


Profit-taking set gradient profit-taking; wave exit; 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 chain kings exhibit very diverse trading patterns, each with its unique advantages:


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


Advantages: Capture more short-term opportunities


Challenge: Requires strong execution power and system support


Value investment type (DVLTL, 57hdD):


Advantages: More controllable risk, less pressure


Challenge: Requires strong patience and research ability


Balanced type (BieeZ, 9X2hv):


Advantages: Better risk-return ratio


Challenge: Requires a balance of multiple capabilities


The above is an analysis of the trading patterns of meme kings on-chain. However, due to limited samples and a short time frame, we cannot yet determine whether their success is due to their luck or their trading patterns. Finally, a bit of additional data: the correlation between pool size and market cap 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


Healthy token distribution (Top 10 holdings at 10%-15%)


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