Recently, I’ve been diving deep into full-stack Python development, grinding from zero to being able to handle both frontend and backend. I haven’t had time to focus on Web3 at all.



Luckily, the ETH strategy I wrote before is still running, and I’ve made some small profits recently by taking gains when they come and stopping out in time. But to be honest, I still don’t dare to enable automated trading—markets can turn too quickly, and strategies need constant parameter adjustments. What if I’m not watching one day and get liquidated? I’ve backtested with a year’s worth of historical data before, and the results were either getting cut in half or wiped out completely. Who can handle that? 😅

Manual trading is a bit tiring, but at least it gives me peace of mind.
ETH-4.33%
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GateUser-0717ab66vip
· 6h ago
Damn, the backtest getting wiped out is really insane... Automated trading is just a trap—once the market changes suddenly, you don't even have time to react.
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OnchainUndercovervip
· 6h ago
Phew, good thing I took profits in time, otherwise I'd definitely be regretting it now. Automated trading is really a pitfall, I've been burned by it too. Backtest data is all fake. Kind of regret not learning full-stack like you did, just staring at the screen all day is really exhausting. Can you actually make stable withdrawals with the Python full-stack route? Tell me more. With the market being this competitive, manual trading still feels more reliable. Sleep quality is about the same either way.
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Layer2Observervip
· 6h ago
The backtest data is so dismal, yet you're still thinking about automation? There's a fundamental problem with this approach. You need to figure out the root cause of the strategy's failure first; otherwise, changing parameters is pointless.
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MetaMaskedvip
· 7h ago
Haha, full-stack grinder, huh? Let's put Web3 aside for now. 😂 Manual trading is indeed exhausting but reliable, while you can tell just by looking at the backtest data for those automated systems that the risks are huge.
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