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How to choose a good cryptocurrency (when you've already understood that not everything is about quick gains)
Choosing a cryptocurrency seems easy… until you actually do it for real.
At first, we all go through the same thing: you see a chart going up, read a couple of optimistic comments, and feel that if you don't get in now, “you'll miss out.” That's where most people go wrong. Not due to a lack of intelligence, but due to a lack of judgment.
Over time, you understand something uncomfortable but necessary: a good cryptocurrency is not chosen based on emotion, it is chosen based on context.
The first common mistake is thinking that choosing a crypto is choosing a price. It isn't. The price is just a consequence. Before looking at numbers, you need to understand what you are buying and what it exists for. A solid cryptocurrency has a clear purpose within the ecosystem, solves a real problem, or serves a specific function. When you can't explain that in your own words, you probably shouldn't be there.
At first, we all go through the same thing: you see a chart going up, read a couple of optimistic comments, and feel that if you don't get in now, “you'll miss out.” That's where most people go wrong. Not due to a lack of intelligence, but due to a lack of judgment.
Over time, you understand something uncomfortable but necessary: a good cryptocurrency is not chosen based on emotion, it is chosen based on context.
The first common mistake is thinking that choosing a crypto is choosing a price. It isn't. The price is just a consequence. Before looking at numbers, you need to understand what you are buying and what it exists for. A solid cryptocurrency has a clear purpose within the ecosystem, solves a real problem, or serves a specific function. When you can't explain that in your own words, you probably shouldn't be there.
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Si
Understanding Spot and Futures on Binance: the decision that defines how you use the market:
Most errors on Binance occur not due to a lack of information, but from using a tool without understanding what it was designed for. One of the points where a user—new or not—often makes mistakes is by confusing Spot with Futures, believing that the difference is just 'earning faster'. In reality, the difference is much deeper: it defines your relationship with risk, time, and probability.
In Spot, you buy an asset and it becomes yours. There is no pressure of time, there is no automatic liquidation, and decisions are made more calmly. Spot is designed to build, to learn the behavior of price, and to understand how the market moves without each fluctuation becoming an immediate threat. It is the natural environment to develop judgment and apply basic concepts like trend, support, and patience. Here, volatility is managed with time, not urgency.
In Spot, you buy an asset and it becomes yours. There is no pressure of time, there is no automatic liquidation, and decisions are made more calmly. Spot is designed to build, to learn the behavior of price, and to understand how the market moves without each fluctuation becoming an immediate threat. It is the natural environment to develop judgment and apply basic concepts like trend, support, and patience. Here, volatility is managed with time, not urgency.
ABDULAZIZ ALQADASI:
si
📉 Can the market be predicted with probabilities? 🤔
Many content creators use probabilistic terms giving a false impression that something is "almost certain" to happen, when in reality mathematics tells us otherwise.. The price itself does not meet the necessary conditions to apply predictive statistics rigorously.
🎲 Why doesn't it work like in a mathematical experiment?
There are no independent or identical samples: each candle on the chart is unique by context.
Time is not a reliable statistical variable: indicators that depend on time (like moving averages) violate basic assumptions.
You cannot perform a classic hypothesis test: there is no defined population, no stable distribution, and no possibility to replicate scenarios.
🔍 Mathematicians like Benoît Mandelbrot (father of chaos in markets) say:
"Prices do not follow normal distributions. The market is neither predictable nor linear."
Each market moment is unique: there is no repeatability or experimental control.
Even if a pattern repeated in the past, that does not imply it has statistical predictive value.
It only reflects an empirical frequency, not a real mathematical probability.
✅ When is it USEFUL to use Probability and Statistics?
To study the frequency of simple patterns (like reversals after gaps)
To measure historical volatility or perform Monte Carlo type simulations
To estimate risk vs return in multiple scenarios
But not to guess the future.
📣 Conclusion:
Price action cannot be analyzed lightly; it is understood with context, management, and experience.
Do not be led by assumed percentages of probability that something will happen when in reality they do not have a solid foundation.
Statistics is not a magic ball — it is a tool for measuring, not for guessing.
#BinanceAcademy #EducaciónCripto #Probabilidad #AnalisisTecnico #GestiónDeRiesgo
Many content creators use probabilistic terms giving a false impression that something is "almost certain" to happen, when in reality mathematics tells us otherwise.. The price itself does not meet the necessary conditions to apply predictive statistics rigorously.
🎲 Why doesn't it work like in a mathematical experiment?
There are no independent or identical samples: each candle on the chart is unique by context.
Time is not a reliable statistical variable: indicators that depend on time (like moving averages) violate basic assumptions.
You cannot perform a classic hypothesis test: there is no defined population, no stable distribution, and no possibility to replicate scenarios.
🔍 Mathematicians like Benoît Mandelbrot (father of chaos in markets) say:
"Prices do not follow normal distributions. The market is neither predictable nor linear."
Each market moment is unique: there is no repeatability or experimental control.
Even if a pattern repeated in the past, that does not imply it has statistical predictive value.
It only reflects an empirical frequency, not a real mathematical probability.
✅ When is it USEFUL to use Probability and Statistics?
To study the frequency of simple patterns (like reversals after gaps)
To measure historical volatility or perform Monte Carlo type simulations
To estimate risk vs return in multiple scenarios
But not to guess the future.
📣 Conclusion:
Price action cannot be analyzed lightly; it is understood with context, management, and experience.
Do not be led by assumed percentages of probability that something will happen when in reality they do not have a solid foundation.
Statistics is not a magic ball — it is a tool for measuring, not for guessing.
#BinanceAcademy #EducaciónCripto #Probabilidad #AnalisisTecnico #GestiónDeRiesgo
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