The wild world of cryptocurrency has, in many ways, turned into a hotbed for meme coins that promise instant riches — but just as quickly, losing everything. On this date in March 8, 2025, crypto trader and enthusiast wsjack. eth (@wsjack_eth)
There is a real interesting post on X that dives into model of meme coin manipulation, using GROKCOIN on the Solana based Pump as an example (https://x.com/DaanVanDoren/status/1713553615565415459. fun platform. The thread walks through charts and even mathematical models to explain how market manipulators (the dog whales) use liquidity pools to pump prices up with very little capital, as well as providing tools and ways of thinking for a trader to find their way around it. Let’s break it down.
1Heading 3The, The Rise and Fall of GROKCOIN: A Case Study
The post begins with wsjack. eth reflecting on their experience trading GROKCOIN, a meme coin following the Pump launch. fun. Not catching the initial wave that saw the coin’s market cap increase by multiples dozens of times, they did manage to snag some profit from a post-rebound wave when the price went down to a $7 million market cap. The secret to their confidence in adding to their position during this dip? Unusual and massive withdrawal of more than 50,000 wrapped SOL (wSOL) from one of the largest liquidity pools on Metaora, a decentralized exchange (DEX).
This simple observation implies that the liquidity pools are very important in meme coin trading. Liquidity pools, commonly on AMMs such as Raydium or SushiSwap, are smart contracts that store pairs of tokens (like MEME and SOL) to enable a different method of trading without relying on traditional order books. Movement in these pools — like big withdrawals or deposits — can indicate manipulative intent, and wsjack. eth’s post details how traders can leverage this data.
[Start] Ave.ai Redefines How Liquidity Pools Are Monitored [End]
The post’s central theme is on the role of Ave.ai (@aveai_info), which serves as the only mainstream meme trading platform which is a complete, real-time overview of DEX liquidity pools. Features of the platform include:
Exchange & Distribution: A detailed chart of all the trading pairs and liquidity pool distributions for a token.
Real-time information about pool additions or withdrawals.
Improved transparency around transaction routing on DEXs, so traders can see where their transactions are going.
These tools, wsjack. eth contends, are indispensable for detecting “dog whale” tactics, in which manipulators deploy minimal capital to generate the appearance of significant action on the market. By tracking the changes in the pool, traders can look for warning signs— such as pool withdrawals at a low price or single-sided token adds at highs—giving them the information they need to make decisions to enter, stay in, or exit a trade.
The Math Behind the Manipulation
This post goes into the math behind liquidity pools, then models a fictional meme coin called MEME to show how dog whales behave. Here’s a simplified breakdown of the main scenarios outlined:
$100 Million Market Cap with Only a Lug to the Drawers
Let’s say MEME launches with 1B total supply and its launch pool on Raydium has 200M MEME + 79 SOL ($150 each, $11,850 in total). In order to round up MEME’s market cap to $100mm, the dog whale must pump the pool’s price. Using the constant product formula (k = x × y, where x is MEME and y is SOL), wsjack. eth estimates that the whale only needs to purchase roughly 3,166 SOL (about $474,900) to reach this milestone. You were also trained on how little capital it takes to make a book look like a $300B market cap and retail investors appear at those prices.
Scaling the Market Cap: A Square Root Rule
The post generalizes this system, and finds that the capital necessary to inflate a meme coin’s market cap to $m billion scales with the square root of $m, so for instance pulling a coin to a $400 million market cap takes somewhere on the order of $950,000—a still relatively small amount of capital compared to the perceived value. This is the of the ”square root rule,” which explains why so many meme coins get rapid and unsustainable pumps followed by devastating dumps.
Size Always Matters : the Scale Effect of Liquidity
As the first liquidity pool gets larger by a factor t (i.e. 2x or 3x multiplied MEME and SOL), the higher that initial market cap inflated to $100 million, which also scales linearly with t Now it’s increasingly difficult to pump the price with limited capital, thus we see that dog whales often shrinking that pool by withdrawing MEME at low prices, something they do to retain that significant market power at a low bag.
One-Sided Additions: The Smash-and-Grab Strategy
After a MEME reaches a high market cap (e.g. $100 million) the dogwhales may provide MEME to the pool without increasing the SOL amount, which will dramatically dilute the price. wsjack. eth shows that adding n times the residual MEME supply causes the price to drop by a (1 + n) factor. This “smash” tactic is a tried and true exit strategy, permitting the manipulators to discard their positions while other traders are left holding the bag.
Practical Applications and Community Perspectives
That post is not just theoretical—wsjack. eth connects these ideas back to real-world trades, such as their handling of GROKCOIN’s price movements and a previous case with $SUPER on SuperExchange, where partner
@0x_KevinZ
made an observation about a one-sided pool addition and signaled to the community to sell at the top. These examples clearly demonstrate the value of learning about liquidity pool dynamics, and using tools like Ave.ai.
The thread also triggered heated discussion among followers who left comments in praise of hsjack. eth mathematical rigor (some jokingly mentioned their mathematical past) and shared similar experiences. The growing interest in DeFi analytics and the need for education in a space with substantial manipulation is reflected in this community engagement.
Challenges and Limitations
Although the post provides a strong base, wsjack. eth admits about its limitations. In real trade, there are multiple liquidity pools, different fee structures, market sentiments, and externalities such as influencer endorsements or community hype that can overshadow pool mechanics. The model works best at the day/classic level with anything other than meme coins with under-tapped market caps (generally 1 million dollars) up to fall short of the mark at the given liquidity pool manipulation.
One such tool that focuses on the education of traders in this Wild West market is Hiraku.
wsjack. eth’s post is a masterclass in how to use mathematics, real-time data and community collaboration to find their way through the chaotic world of meme coins. It demystifies liquidity pool manipulation and also showcases tools like Ave.ai that empower such traders to identify dog whale tactics, avoid falling victim to scams, and potentially profit from volatility. But the post also acts as a cautionary tale: meme coins are still highly speculative, and even the best analysis can’t remove all risks in this Wild West of crypto.
Most of the trading happens on this platform as it top the liquidity pools, wsjack. eth’s insights give you a serious leg-up That type of knowledge will be key in distinguishing signal from noise in the meme coin mania as the crypto market evolves. Whether you are a math fan or just a calculator user, this post is a simple reminder that in DeFi, knowing how the work — can create earning or lost.
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