QuantSnake

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#量化交易
The style of machine learning in the cryptocurrency circle
In the cryptocurrency space, the style of machine learning strategies largely depends on the number of coins you select and how you allocate your funds.
We all know that the maturity of the cryptocurrency market is far lower than that of traditional markets.
So here, the fat tail effect will be more pronounced.
Whether it is a positive black swan or a negative black swan,
Their frequency is much higher than that of traditional markets.
When you select a large number of coins,
Machine learning models pay more attention to the "ov
MYX0,17%
ALPACA-4,09%
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#量化 #量化交易 #量化策略
Attention Economy
Since last year, exchanges have been crazily listing new contracts.
By now, the number of contracts has even exceeded that of spot varieties, reaching over 500.
However, human attention is limited.
In hundreds of contracts, we often only pay real attention to a dozen popular coins.
In December of last year, most people can't even remember the names of those meme contracts that were all the rage on-chain, let alone track their trends.
A meme that does not continuously attract attention is essentially a shitcoin, and its price should tend towards zero.
What
BTC0,57%
ETH1,04%
SOL0,67%
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Quantitative Short New Coin Strategy
Automatically shorting overvalued VC coins/meme coins with low attention #量化 #量化交易 #量化策略
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#量化 #量化交易 #量化策略
Overfitting is a necessary path for personal quantification.
Every beginner in proprietary quantitative trading will encounter a problem - overfitting.
Seeing some strategies from great masters, the principle is simple, the logic is clear and straightforward.
Clean and effective, it's inevitable to feel a yearning.
At this point, many people may worry: Is overfitting really scary? Should we do everything possible to avoid it?
In fact, overfitting is not so scary.
Quantitative strategy development is essentially a process of "first imitating, then surpassing."
It's like
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Momentum Strategy 400% in one month #量化 #量化交易 #量化策略
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#量化 #量化交易 #量化策略
How much can personal quantification earn?
How much can individual quantification earn?
This issue is hard to truly understand without experiencing one or two years of quantitative proprietary trading.
In the early stages of live trading, when you see the backtesting curve showing results of compounded returns in the hundreds or thousands of times, you may feel like you have found the "holy grail," as if you are about to achieve financial freedom.
But reality is often not that ideal - there is actually an invisible formula that determines your profit ceiling and the speed of w
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Those who understand, understand. Feel free to message me if you're sincerely willing to learn.
Quantitative Expert
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