Instead of broadly restricting user activities, exchanges should invest in smarter bot detection systems. The key is to differentiate genuine traders from automated activity—through behavioral analysis, transaction patterns, and interaction frequency rather than blanket suppression that affects real users.
This approach protects market integrity while preserving the trading experience for legitimate community members. A win-win for both platform security and user adoption.
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LostBetweenChains
· 4m ago
To be honest, the exchange's current anti-bot mechanism is really annoying. A bunch of normal operations are restricted, and it's better to optimize the algorithm🙄.
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quietly_staking
· 01-11 16:50
To be honest, the exchange's anti-bot measures are quite drastic, harming both themselves and others.
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DeFiCaffeinator
· 01-11 16:44
To be honest, this logic sounds good, but will exchanges really spend that much money? Most platforms still prefer a one-size-fits-all approach and are too lazy to bother.
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MEVHunterLucky
· 01-11 16:44
That's right. The exchange's one-size-fits-all anti-bot policy is really ridiculous, affecting normal users like me as well. Accurate identification is the right way to go, and it seems that relying on on-chain behavior analysis is the way to do it.
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GateUser-0717ab66
· 01-11 16:42
Honestly, the exchange's anti-bot solution is not well thought out at all. The one-size-fits-all approach harms both themselves and others.
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0xOverleveraged
· 01-11 16:38
Really, instead of a blanket ban, it's better to focus on improving the algorithms—that's the right way to go.
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0xDreamChaser
· 01-11 16:35
Really, now all exchanges are too lazy, directly imposing restrictions on users with a one-size-fits-all approach. Is that reasonable? They should implement some genuine intelligent risk control.
Trading Platform Algorithm Optimization Idea: Rethinking Bot Prevention Strategy
Instead of broadly restricting user activities, exchanges should invest in smarter bot detection systems. The key is to differentiate genuine traders from automated activity—through behavioral analysis, transaction patterns, and interaction frequency rather than blanket suppression that affects real users.
This approach protects market integrity while preserving the trading experience for legitimate community members. A win-win for both platform security and user adoption.