Many people think that they have no money and come to the cryptocurrency world to trade as a quick way to make money.
This is a completely wrong perception.
Assuming you only have 10,000, if you diligently watch the market for a month, with a win rate of 55% and a win-loss ratio of 1:1, after 100 trades, you would only make about 5,500 yuan, and this is still in an ideal scenario without considering eventual losses.
But if you work hard this month, even delivering food, you can at least earn 5,000-7,000.
So, even if you have a long-term stable profitable trading system, if your capital is very small, the best strategy is still to work and accumulate capital first, then consider entering the market.
Every beginner who wants to trade full-time is bound to fail! The reason is that the capital is too small.
Before you have capital, never trade. The first thing to do is to accumulate capital through various methods.
People without money or resources are actually very suitable for self-media. If you don't know how to do self-media, it's simple; just start by imitating others. After imitating enough, you will become skilled.
Once you have traffic, you can earn some small money by collecting commissions, opening communities, and selling courses.
After you have capital and still want to try trading, I will share some of my superficial understanding of trading today.
Many people tell you that the market is a random walk, and no matter what you do, the odds are 55-45, so you can't make money.
This is true, but also not true.
Because the market has both random and non-random states.
A non-random state occurs when an event happens, allowing you to predict the market's next brief trend. For example, in Binance's new token launch activities, a large amount of liquidity for BNB will be locked up, and the big player may spend some small money to push the price up a few points to gradually distribute chips for profit, and then slowly buy back after the event ends.
When a certain token is about to be listed or delisted on a well-known exchange, there will be inertia after a sharp rise and fall in the market. This inertia is also a point of profit that can be grasped.
When a certain coin enters a major exchange's contract market, it usually experiences a small upward pull, which can provide some inertia profit.
For some very worthless coin projects, after careful analysis, the valuation is simply too high. Whether the big player pushes the price up or down, this is obviously biased by probability, not random.
When the market is down, the situation is not good, and the news is also not very positive, some coins do not fall, while others fall a lot. You can set up short orders for the former and long orders for the latter. For example, AI concept coins are being hyped, and if a coin with a market cap of 30 million hasn't been hyped, then it has limited downside and great potential for upside, making it easy to manipulate. If you have experience in identifying the intentions of the big players, then this coin is not random for you.
There are various methods to judge the market's non-random state, which can be summarized gradually through self-review.
Facing a non-random state is not a guarantee of making money, but the probability is biased in your favor. If you persist, then making money is certain.
The time periods of non-random states are very few. Most people trade in random states, staring at the market day and night, trading at high frequency and high leverage, ultimately losing money.
This non-random state is for a few people. Some have experience in how events affect the market, and some have information advantages, so for them, it is a non-random state. But for a newcomer, the market is a random state.
After saying so much, there is only one conclusion: when you face a random market situation without any advantage, it is indeed 55-45, and you cannot make money.
To make money, you must find a non-random market to trade in. You need sufficient imagination to infer market trends from subtle information, which is certainly a difficult task.
Because trading is inherently difficult, this falls within the realm of cognitive understanding.
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