2026-01-09 18:24:27

Thinking about it, projects like $MFI are indeed interesting to explore — we've long trusted AI to help write code, but when it comes to trading, we still have to keep our eyes glued to the K-line, watching each candle flicker as if our life depended on it. Why is there such a big difference?

To put it simply, we trust automation in software development, but when it comes to trading decisions, we start to get tangled up. This actually reflects the conflicting market mentality — technical capabilities have long kept pace, but psychological expectations haven't caught up. Maybe we should all reconsider and analyze what exactly differentiates automated trading from traditional monitoring methods.

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DAOdreamer

· 6h ago

Haha, this is the psychological barrier. You can confidently hand over the code to AI, but not the money. Basically, it's still a lack of trust in the robot's decision-making logic.

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TokenTaxonomist

· 01-10 15:10

nah, data suggests otherwise on the trust asymmetry here. let me pull up my spreadsheet—we've actually offloaded code because the failure modes are *predictable*, systematically testable. trading tho? that's evolutionary dead-end territory, too many variables, too much cryptographic darwinism happening in real time. we're not psychologically wired for it, tbh.

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GateUser-3824aa38

· 01-09 20:23

Honestly, this psychological barrier is really a problem. Code can be written by AI, but when it comes to trading, it still trembles. Ultimately, it's more about the fear of funds than trust in technology.

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SmartMoneyWallet

· 01-09 18:44

To be honest, the MFI logic is full of flaws—on-chain data has been available for a long time, and the distribution of whale chips is crystal clear. Yet most retail investors still choose to watch the charts themselves. Isn't this just a reflection of psychological bias lagging behind technology? The true story lies in capital flow. As long as the parameter models for automated trading are correct, it should have long since crushed traditional trading.

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NeonCollector

· 01-09 18:42

This mental preparation really sucks. I'm more comfortable letting AI write the code, but when it comes to trading algorithms, I hesitate to use them. Ultimately, it's still a confidence issue.

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0xSoulless

· 01-09 18:37

Basically, it's still because of fear of being cut. When AI makes coding errors, you can just rewrite; if trading decisions go wrong, you directly lose money. The psychological account is different. Trust is something that can't stand firm in front of money.

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RektHunter

· 01-09 18:30

Honestly, it's pretty funny how this mindset is so bad. You can hand over the code to AI, but you're still afraid to let go of trading. The problem is still the mental barrier.

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ProveMyZK

· 01-09 18:28

Honestly, this psychological difference is really remarkable. Writing code to let AI handle it doesn't cause any fuss, but when it comes to trading, people start to get hesitant.

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