#数字资产动态追踪 AI Quantitative Strategies in Recent Geopolitical and Policy Market Events: Two Real Cases
No post-event bragging, all are genuine operations from trading records:
First: On the day the US pressured Venezuela, BTC sharply dropped 3.7%. The quantitative strategy sensed the capital fleeing signals in advance, automatically issued a short order, precisely captured the price difference profits from the volatility, and perfectly avoided the trap of a one-sided decline.
Second: News of the US Congress discussing BTC strategic reserves caused the market to fluctuate and rise. The long-short strategy switched directions in real-time, opened long positions in line with the trend, and took profits at the right moments—avoiding greedily chasing the top or getting caught in shocks.
Every trade can be traced back to historical transaction records. Whether it's sudden geopolitical conflicts or emotional speculation driven by policy news, automated strategies can consistently seize opportunities. If you're interested in these practical cases or want to follow quantitative strategies to navigate market fluctuations, feel free to continue the in-depth discussion. $BTC $ETH
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zkProofInThePudding
· 01-07 09:03
Hey, I've heard a lot of after-the-fact comments about this kind of "perfect operation." Is it really true?
Can quantification hit the mark so accurately? Why do I always get cut?
If you're really confident about stability and seizing opportunities, then why do you still need to promote on Xiaohongshu?
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RebaseVictim
· 01-06 09:12
Huh? I saw the 3.7% that time too, but my order almost got trapped... Can quantitative trading be this stable?
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GateUser-1a2ed0b9
· 01-04 09:39
Hey, this wave of quantification really has some substance. No hype, no black, just let the data speak.
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3.7% short position... Is that real? Where's the transaction screenshot?
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Geopolitical news triggers automatic reactions, this technology is pretty impressive.
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Selling strategies again, same old tricks.
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If you can make stable profits, who would still be posting here? Haha.
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I also followed that case in Congress, and indeed made a profit.
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CryptoCross-TalkClub
· 01-04 09:33
Laughing out loud, another legendary move that can be "found in historical transaction records." How come I've never seen such an automatic pit-avoiding scene in my record of massive losses?
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ProofOfNothing
· 01-04 09:28
This quantitative strategy sounds good, but how many can actually run stably and make money?
Always sensing in advance, it feels a bit like hype.
As long as historical transactions can be checked, there's no need for luck at the end.
View OriginalReply0
NotSatoshi
· 01-04 09:21
It looks like another new trick for quantitative harvesting, and the backtest data looks very impressive.
#数字资产动态追踪 AI Quantitative Strategies in Recent Geopolitical and Policy Market Events: Two Real Cases
No post-event bragging, all are genuine operations from trading records:
First: On the day the US pressured Venezuela, BTC sharply dropped 3.7%. The quantitative strategy sensed the capital fleeing signals in advance, automatically issued a short order, precisely captured the price difference profits from the volatility, and perfectly avoided the trap of a one-sided decline.
Second: News of the US Congress discussing BTC strategic reserves caused the market to fluctuate and rise. The long-short strategy switched directions in real-time, opened long positions in line with the trend, and took profits at the right moments—avoiding greedily chasing the top or getting caught in shocks.
Every trade can be traced back to historical transaction records. Whether it's sudden geopolitical conflicts or emotional speculation driven by policy news, automated strategies can consistently seize opportunities. If you're interested in these practical cases or want to follow quantitative strategies to navigate market fluctuations, feel free to continue the in-depth discussion. $BTC $ETH