This afternoon at 5:00 PM, my trading monitoring system detected trading signals for the three cryptocurrencies DASH, ZEN, and ZEC. The system has a scoring mechanism that automatically assigns a score to each signal.
The scoring range is from -4 to 7. A key setting here is that the monitor defaults to only display signals with a score above 1, which helps filter out most noise and false signals, improving the signal-to-noise ratio. The numbers seen on the screen are the real-time scoring results.
This mechanism has been in operation for some time. Although not 100% accurate, it still helps in filtering effective trading opportunities. Recently, DASH, ZEN, and ZEC have shown different characteristics; those interested can follow up and observe on their own.
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NFTArchaeologis
· 15h ago
The concept of signal-to-noise ratio is actually borrowed from early data art, which is interesting. However, no matter how smart the system is, it can only be a tool; ultimately, it still depends on human judgment.
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RektDetective
· 15h ago
It sounds like you're selling systems again. With such a high signal-to-noise ratio, why haven't you made a fortune yet?
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DASH, ZEN, ZEC? Do these three coins really have signals recently, or is it just machine hallucination?
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If it's above 1 point, it shows; do you filter out those from -4 to 0 points? Feels a bit too optimistic.
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The automatic scoring mechanism sounds good, but I just want to ask, what is the actual accuracy rate?
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How long has this system been running? Can I see the win rate?
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It seems every time people say there's a system with signals, but in the end, it's still luck-based gambling.
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That coin ZEC isn't hot anymore, so why bother following it?
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BlockchainDecoder
· 15h ago
According to research, the signal filtering mechanism's approach to optimizing the signal-to-noise ratio is indeed feasible, but it is worth noting whether the 1-point threshold setting has been statistically validated.
From a technical perspective, the score range from -4 to 7 implies a hidden assumption—that the volatility characteristics of each cryptocurrency are the same. This may need to be re-evaluated in practical operations.
By the way, the simultaneous appearance of privacy coins DASH, ZEN, and ZEC—what is the underlying logic? Is it technical correlation or market resonance? I'm a bit curious.
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GateUser-6bc33122
· 15h ago
Wow, only shows above 1 point? The filtering is pretty good.
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Is the system scoring reliable, or is it just another cycle of losing money?
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DASH, ZEN, ZEC three together, is this an all-in move, brother?
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The concept of signal-to-noise ratio is pretty good, but is it really accurate in practice?
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Feels like there's too much trust in the algorithm, be careful of being cut.
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This mechanism has been around for so long, can it really make money, honestly?
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Suddenly three signals appear at the same time, is it a concentrated outbreak or just a coincidence?
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The design of the -4 to 7 point range is quite interesting, how is it calculated?
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Only looking at above 1 point, are everything from 0 to 1 points trash?
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Another old coin like DASH, when will it turn around?
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Is this scoring system really better than manually analyzing the charts?
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BlockchainRetirementHome
· 15h ago
The system scoring mechanism is good, but I want to ask how the actual win rate is?
This afternoon at 5:00 PM, my trading monitoring system detected trading signals for the three cryptocurrencies DASH, ZEN, and ZEC. The system has a scoring mechanism that automatically assigns a score to each signal.
The scoring range is from -4 to 7. A key setting here is that the monitor defaults to only display signals with a score above 1, which helps filter out most noise and false signals, improving the signal-to-noise ratio. The numbers seen on the screen are the real-time scoring results.
This mechanism has been in operation for some time. Although not 100% accurate, it still helps in filtering effective trading opportunities. Recently, DASH, ZEN, and ZEC have shown different characteristics; those interested can follow up and observe on their own.