Recently started exploring arbitrage and arbitrage strategies, and decided to use AI to write trading bot code to save myself from manually coding the logic. It sounds impressive, but actual trading is another story — a test account dropped 10% directly, which was quite disheartening. It seems that no matter how smart AI is, in the face of market volatility, experience and risk management awareness are still essential. I want to delve deeper into this area, but first I need to understand: how far can relying solely on automated code go, and the key is to grasp the fundamental logic of arbitrage and where the risk boundaries lie.
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VCsSuckMyLiquidity
· 1h ago
AI-written code still gets hammered by the market, this is just the daily life of Web3 haha
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10% drop? My goodness, that's still gentle... I tried AI-generated strategies early on, and I got liquidated immediately, you know
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Arbitrage is originally a physical job; automated coding can't save people from human greed
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No matter how smart the bot is, if risk control isn't done well, it's a ticking time bomb, honestly
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But on the other hand, AI can at least help you quickly verify ideas, which is better than having nothing
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Arbitrage logic sounds simple, but in practice, it's full of pitfalls. You really need to explore for a while to understand
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Losing money on a test account is actually saving on tuition, much better than trying with real money and making mistakes
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Code is just a tool; only those who understand the market can use it well. No matter how many times this truth is told, some people still don't believe
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You really have to step on your own to explore the risk boundaries; no one can replace you
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MidnightSeller
· 6h ago
Haha, AI-written code can also fail, this is the reality.
10% might be okay, but some people suffer direct losses.
To be honest, if you have no experience, don't expect to win effortlessly; robots are just tools.
Mining looks simple but is actually full of traps; you need to understand the market.
Risk control awareness is truly more important than anything else; this is a painful lesson.
Code only cares about making money; it won't help you bear losses.
The waters of arbitrage are deeper than you think.
I've also tried AI robots, but in the end, you still have to watch the market yourself.
The market doesn't play fair, and your bot must learn to admit defeat.
Take it step by step; greed is the number one killer in trading.
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AirdropFatigue
· 6h ago
Code written by AI also has to go through the market’s tough tests; a 10% tuition fee is considered cheap.
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Risk control awareness really can't be skipped; having just code is simply not enough.
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To put it simply, you still need to understand the essence of arbitrage; otherwise, robots are just high-level gambling machines.
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Reflecting after a 10% drop shows you're much more clear-headed than most people.
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Automation sounds great, but in practice, you're just paying tuition fees.
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No matter how smart the machine is, humans still need to feed it data and logic.
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That's why even quant teams at big companies need to have a risk team.
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Mining for profits sounds simple, but once you get started, you'll realize there are many pitfalls.
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GateUser-2fce706c
· 6h ago
I've always said that this arbitrage track is a once-in-a-lifetime opportunity, but 90% of people fail at risk control when they enter.
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People fear a 10% retracement, but actually, this is the best chance for trial and error. True experts have long laid out their plans.
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AI code is just a tool; the core still depends on understanding market cycles. I emphasized this repeatedly three years ago.
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Thinking clearly after a 10% drop shows you're too impatient. The overall trend is clear; it’s just a matter of who can hold on until the end.
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Those who are now fussing over these small details are just like those who questioned blockchain back then—always a step too slow.
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Opportunities and traps often only differ by one perception. Understanding the true logic of arbitrage is the highest ground.
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A 10% loss during testing is normal, but those who can really make money are the ones who have suffered losses first and learned from them. Time waits for no one.
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Don’t just focus on AI alone; first, understand the boundaries of risk. That’s true foresight.
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Three reminders: First, know who your opponent is; second, control your position size; third, learn to cut losses. Overall, the first-mover advantage is key.
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Many people get stuck here. It’s not too late to enter now, but you must recognize where the ceiling of automation is.
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GasFeeGazer
· 6h ago
AI-written code can't save you either; the market really doesn't follow code logic.
You only wake up after a 10% drop—still lucky... some people lose even more thoroughly.
Arbitrage looks simple, but in reality, it's full of pitfalls. Risk control is the key.
Recently started exploring arbitrage and arbitrage strategies, and decided to use AI to write trading bot code to save myself from manually coding the logic. It sounds impressive, but actual trading is another story — a test account dropped 10% directly, which was quite disheartening. It seems that no matter how smart AI is, in the face of market volatility, experience and risk management awareness are still essential. I want to delve deeper into this area, but first I need to understand: how far can relying solely on automated code go, and the key is to grasp the fundamental logic of arbitrage and where the risk boundaries lie.