2025-12-28 13:24:42

In recent days, the trading system has undergone intensive iterations. Added position multiplier, dynamic adjustment of take-profit and stop-loss multiples, optimized decision cycle and sensitivity parameters, and supported multi-entry mechanisms. The past two days mainly focused on bug fixes, while also reviewing several recent loss cases to extract common features, which were directly masked at the code level.

The current strategy has significantly improved its adaptability to tokens with longer cycles. Currently monitoring 24 tokens, with a configuration of 5 USDT per order, using real trading data to verify system stability. The core idea of this iteration is to use scenario learning to avoid known risks while maintaining the flexibility of the strategy. The direction seems correct.

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GasGrillMaster

· 5h ago

This sounds good, but I'm a bit cautious about the 5u small-scale trial. Can it really achieve stability?

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GameFiCritic

· 5h ago

To be honest, this iteration approach has some merit—using loss cases to infer common features for code blocking, which is essentially "market clearing." However, balancing flexibility and stability alone isn't enough; the key is to see how many of the 24 tokens truly have a supported lifecycle, rather than all being hype-driven air coins that survive solely on speculation.

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SerumSquirrel

· 5h ago

Such intense iterative development—can't you show some achievements first? It's not that I don't believe, but these days, talk is cheap.

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NotFinancialAdvice

· 5h ago

Very practical. I like the approach of reverse-engineering logic from loss cases to optimize the code. I'm just worried that running 24 coins simultaneously might cause some to be neglected, and whether a 5u order is enough to test for issues.

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PortfolioAlert

· 6h ago

Haha, you're adjusting parameters again. This time, we'll only know if it's reliable after running the test. --- 5u per order monitors 24 coins. That's quite bold. Let's see how the backtest data looks. --- Another case of shielding losses... This routine feels like something we've used before, but in the end, it still can't escape the black swan. --- Multiple guns entering the market sounds good, but I'm just worried that everything might go wrong. --- Scenario learning to avoid risks... sounds simple, but when real risks come, you'll still get caught. --- Will this be another case where optimization ends up making no difference? --- Getting stuck fixing bugs for three days is pretty routine now, haha. --- Long-cycle coins are good, but their liquidity tends to be weak. --- Adjusting take profit and stop loss multiples dynamically sounds good, but how does it perform in practice? --- I bet five bucks that next week I'll need to change the parameters again.

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RadioShackKnight

· 6h ago

Haha, you're at it again with the system. This time, the improvements sound pretty good. The combination of multiple entries + dynamic adjustments is quite aggressive.

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