Data analysis: How much does Raydium rely on pump.fun?

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Azuma
24 hours ago
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Raydium (RAY) fell more than 30% during the day...History once again proves that distribution is greater than tech.

Original | Odaily Planet Daily ( @OdailyChina )

Author: Azuma ( @azuma_eth )

Data analysis: How much does Raydium rely on pump.fun?

Raydium (RAY), the mainstream DEX protocol on Solana, plummeted today. The direct cause was that pump.fun seemed to be testing its own AMM liquidity pool. The market speculated that this move might lead to the pump.fun-related tokens no longer building pools on Raydium after they were out of the internal market in the future, but being directly intercepted in the pump.fun protocol, which would lead to a reduction in Raydiums trading volume and a corresponding reduction in revenue and repurchase volume.

The logic line of RAYs decline (readers familiar with the relevant logic can skip this)

Let’s briefly sort out the relationship between Raydium and pump.fun.

As the most mainstream meme token launchpad platform on Solana, pump.funs token issuance needs to go through two stages: internal market and external market. After the token is issued, it will first enter the internal market trading stage, which relies on the pump.fun protocols own Bonding Curve for matching. When the trading volume reaches $69,000, it will enter the external market trading stage. At that time, the liquidity will be migrated to Raydium, and a pool will be built on the DEX and trading will continue.

Next, let’s look at Raydium and RAY.

Raydium currently charges a 0.25% handling fee from each transaction, of which 0.22% is allocated to Raydiums liquidity providers (LPs) and 0.03% is used for RAY repurchase and ecological support . In short, Raydiums trading volume will indirectly affect the price of RAY through handling fee income.

So the current situation is that if pump.fun builds its own AMM, liquidity will no longer be migrated to Raydium in the future , thereby reducing the latters trading volume and handling fees, and further affecting the value performance of RAY.

How much does Raydium rely on pump.fun?

There have been many analyses of the above in the market today, but it seems that no one has carefully sorted out how much Raydium relies on pump.fun in terms of trading volume. For this reason, we queried some data sources on Deflama and Dune , and the conclusion is shown in the figure below.

Data analysis: How much does Raydium rely on pump.fun?

As can be seen from the above figure, in the past 14 weeks, the trading volume of pump.fun tokens on Raydium accounted for about 20%, which means that if pump.fun really intercepts Raydium by building its own AMM in the future (not considering the autonomous liquidity migration activities due to the uncertain platform fee differences), Raydium is expected to experience a 20% reduction in trading volume.

Is it oversold?

Back to the market, OKX market shows that RAY fell to as low as $2.82 today, corresponding to a drop of more than 30% (the data was pulled too late, and in hindsight there was indeed a certain amount of oversold at this time). The current price has gradually recovered to $3.15, corresponding to a drop of 25.43%.

Considering that SOL itself also fell by 5.8%, RAYs current decline is basically within a reasonable range, that is, the market has already priced in pump.funs interception behavior in advance.

Finally, let me end with the words of Fluid COO DMH:

The plunge of RAY once again proves to us that distribution >>> tech. There are countless examples in the traditional world (Microsoft) and the crypto field (Metamask) that if you have a large enough user base, your product is not that important.

Original article, author:Azuma。Reprint/Content Collaboration/For Reporting, Please Contact report@odaily.email;Illegal reprinting must be punished by law.

ODAILY reminds readers to establish correct monetary and investment concepts, rationally view blockchain, and effectively improve risk awareness; We can actively report and report any illegal or criminal clues discovered to relevant departments.

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