Recently, I was chatting with a few friends who are into trading, and everyone feels that this year's market has become especially difficult to navigate. One friend was still showing off last month that a small coin had doubled in value, but this month he's almost wiped out. One thing he said really struck me — it's not that we're getting worse, but that the entire game has completely changed.
Thinking about it, that's really the case. In the past, retail investors could still make some profit relying on news or gut feelings. Now? The whole market is filled with high-frequency robots executing orders, and our manual operations are like trying to fight drones with a slingshot — it's a different league altogether.
But strangely, there are always a group of people whose account curves stay steadily upward, making money in both bull and bear markets. Recently, I finally heard the truth from a seasoned trader — they stopped playing the "guess rise or fall" game a long time ago. Instead, they use a systematic approach designed specifically to exploit the spread in market liquidity.
**First Trick: Make the Entire Network Work for You**
What’s the traditional method? Open a DEX platform → enter the amount → click confirm → get eaten by MEV bots. In just a few steps, you lose 1-3%.
Their approach is completely different. They directly publish a "buy order" — I want to buy 100 ETH, who can offer the best price? Then, market makers and liquidity providers across the network compete to fill this order, and the system automatically executes the best quote.
What’s clever about this? A simple analogy makes it clear. If you want to buy a new phone, you don’t go directly to the store; instead, you post in your social circle, "Who has the cheapest brand new iPhone?" and wait for dealers and agents to bid. In the end, you’ll definitely get a much better price than retail.
Data speaks volumes: Over the past three months, large traders using this method have saved an average of 1.5% per transaction. Imagine a position of ten million dollars — that’s a saving of $150,000.
**Real Example**
A few weeks ago, an institution planned to buy 5,000 ETH on a certain public chain. Using conventional methods, the slippage was expected to reach about 2.7%. But with this liquidity aggregation approach, the final cost was only 0.8%. Just do the math yourself to see how big the difference is.
The logic behind this is actually very simple — the market is never short of liquidity; what’s lacking is the ability to find the optimal liquidity. The difference between big players and retail investors often lies in this systematic thinking.
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GasFeeWhisperer
· 6h ago
Oh my, it's the same deal again. Can it really save so much?
View OriginalReply0
ProofOfNothing
· 6h ago
It's just a slingshot against drones, we've known this for a long time.
Basically, it's still an information gap; the big players' games are completely invisible to us.
This logic sounds simple, but actually executing it requires capital—it's not something everyone can do with a "buy order request."
The issue of robots eating orders has been around for a while; instead of complaining, it's better to think differently.
It sounds like selling anxiety, but liquidity arbitrage is indeed quite interesting.
Saving 1.5% on slippage may not seem like much, but with compound interest, the difference becomes huge.
The problem is, how can ordinary retail investors play this system? They don't have that large a position.
Another "big player profit rule," but lacking detailed, practical insights.
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Blockwatcher9000
· 6h ago
In plain terms, we can't beat the system; we have to learn to play along with it.
View OriginalReply0
MergeConflict
· 6h ago
Another article titled "The Self-Cultivation of Big Players," sounds reasonable, but honestly... Is this gameplay friendly to us retail investors? Liquidity aggregation sounds impressive, but when it comes down to actually holding it yourself, it's the same old story—fees still eat into your profits without mercy.
Recently, I was chatting with a few friends who are into trading, and everyone feels that this year's market has become especially difficult to navigate. One friend was still showing off last month that a small coin had doubled in value, but this month he's almost wiped out. One thing he said really struck me — it's not that we're getting worse, but that the entire game has completely changed.
Thinking about it, that's really the case. In the past, retail investors could still make some profit relying on news or gut feelings. Now? The whole market is filled with high-frequency robots executing orders, and our manual operations are like trying to fight drones with a slingshot — it's a different league altogether.
But strangely, there are always a group of people whose account curves stay steadily upward, making money in both bull and bear markets. Recently, I finally heard the truth from a seasoned trader — they stopped playing the "guess rise or fall" game a long time ago. Instead, they use a systematic approach designed specifically to exploit the spread in market liquidity.
**First Trick: Make the Entire Network Work for You**
What’s the traditional method? Open a DEX platform → enter the amount → click confirm → get eaten by MEV bots. In just a few steps, you lose 1-3%.
Their approach is completely different. They directly publish a "buy order" — I want to buy 100 ETH, who can offer the best price? Then, market makers and liquidity providers across the network compete to fill this order, and the system automatically executes the best quote.
What’s clever about this? A simple analogy makes it clear. If you want to buy a new phone, you don’t go directly to the store; instead, you post in your social circle, "Who has the cheapest brand new iPhone?" and wait for dealers and agents to bid. In the end, you’ll definitely get a much better price than retail.
Data speaks volumes: Over the past three months, large traders using this method have saved an average of 1.5% per transaction. Imagine a position of ten million dollars — that’s a saving of $150,000.
**Real Example**
A few weeks ago, an institution planned to buy 5,000 ETH on a certain public chain. Using conventional methods, the slippage was expected to reach about 2.7%. But with this liquidity aggregation approach, the final cost was only 0.8%. Just do the math yourself to see how big the difference is.
The logic behind this is actually very simple — the market is never short of liquidity; what’s lacking is the ability to find the optimal liquidity. The difference between big players and retail investors often lies in this systematic thinking.