MaBuy AI
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MaBuy AI
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Разрабатываем AI-систему для фьючерсов в прямом эфире.
Честная статистика и изнанка алготрейдинга.
Учим не сливать на ложных пробоях.
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What’s the hardest part of analyzing a crypto trade?
I’m studying how people analyze the crypto market. If, in the past 30 days, you independently decided whether to enter or skip a trade, think back to the most recent time you did so.
What was the hardest part?
1. Gathering the necessary data from different sources.
2. Making sense of conflicting forecasts.
3. Assessing the risk of a potential trade.
4. There were no significant difficulties.
If your answer is different, share it in the comments. I’m especially interested in what happened in a specific case and how you handled it.
What’s the hardest part of analyzing a crypto trade?
I’m studying how people analyze the crypto market. If, in the past 30 days, you independently decided whether to enter or skip a trade, think back to the most recent time you did so.
What was the hardest part?
1. Gathering the necessary data from different sources.
2. Making sense of conflicting forecasts.
3. Assessing the risk of a potential trade.
4. There were no significant difficulties.
If your answer is different, share it in the comments. I’m especially interested in what happened in a specific case and how you handled it.
I’m studying how people analyze the crypto market. If, in the past 30 days, you independently decided whether to enter or skip a trade, think back to the most recent time you did so.
What was the hardest part?
1. Gathering the necessary data from different sources.
2. Making sense of conflicting forecasts.
3. Assessing the risk of a potential trade.
4. There were no significant difficulties.
If your answer is different, share it in the comments. I’m especially interested in what happened in a specific case and how you handled it.
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Article
A strong forecast is no reason to enter: an ETH signal scored at 81.4% that failed the checkSignal score — 81.4%. Direction — up. At first glance, you might want to turn a forecast like this straight into a trade. On October 5, my project journal MaBuy would have recorded a bullish signal for $ETH.
Current ETH quote. The data for the signal under review was recorded at 18:14 UTC+5:
The quality check rejected the entry. Let’s look at why: a convincing number on the screen doesn’t show how reliable the forecast itself is. The reason deserves a closer look: a convincing number on the screen doesn’t show how reliable the forecast itself is.
A strong forecast is no reason to enter: an ETH signal scored at 81.4% that failed the check
Signal score — 81.4%. Direction — up. At first glance, you might want to turn a forecast like this straight into a trade. On October 5, my project journal MaBuy would have recorded a bullish signal for $ETH.
Current ETH quote. The data for the signal under review was recorded at 18:14 UTC+5:
The quality check rejected the entry. Let’s look at why: a convincing number on the screen doesn’t show how reliable the forecast itself is. The reason deserves a closer look: a convincing number on the screen doesn’t show how reliable the forecast itself is.
Current ETH quote. The data for the signal under review was recorded at 18:14 UTC+5:
The quality check rejected the entry. Let’s look at why: a convincing number on the screen doesn’t show how reliable the forecast itself is. The reason deserves a closer look: a convincing number on the screen doesn’t show how reliable the forecast itself is.
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Article
I trusted my deposit to Python code: 3 filters that saved my balance from liquidation this week«Forget about triangle-based chart analysis. In the crypto market, microstructure and the probability distribution rule».
For the past six months, I’ve been developing an autonomous trading system in Python (ML ensemble + order book analysis). During this time, I understood the main reason why 95% of traders lose their deposits on futures.
I trusted my deposit to Python code: 3 filters that saved my balance from liquidation this week
«Forget about triangle-based chart analysis. In the crypto market, microstructure and the probability distribution rule».
For the past six months, I’ve been developing an autonomous trading system in Python (ML ensemble + order book analysis). During this time, I understood the main reason why 95% of traders lose their deposits on futures.
For the past six months, I’ve been developing an autonomous trading system in Python (ML ensemble + order book analysis). During this time, I understood the main reason why 95% of traders lose their deposits on futures.
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We closed the short on $SOL: why taking profit matters more than greed and how dynamic escort worksMost futures traders lose what they earned not on entering a trade, but on exiting it. You open a position, see a green plus, but the hope for “a couple more Xs” leads to the sudden pullback turning profit into liquidation.
Today our algorithmic module has completed support for the short at $SOL .
We closed the short on $SOL: why taking profit matters more than greed and how dynamic escort works
Most futures traders lose what they earned not on entering a trade, but on exiting it. You open a position, see a green plus, but the hope for “a couple more Xs” leads to the sudden pullback turning profit into liquidation.
Today our algorithmic module has completed support for the short at $SOL .
Today our algorithmic module has completed support for the short at $SOL .
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