hope it will be fast, without pain

64k reached, now we can go down i beleive

I earned my master's degree in 2003, so you can calculate how much experience I have.

What kind of experience or consistency are you talking about? When you’re consistently losing, that’s not "experience"—it's just failure. If you're limited in both money and time, you’ll go broke faster, and whatever "experience" you had will end there. Do you really think banks and other financial institutions became profitable just through consistency and experience in trading? No, they did their research, created models, and only then did they start trading. I'll tell you something else—very few of them actually trade by taking on directional risk. Most focus on portfolio management and avoid risk as much as possible.

Thank you for reply, but if you read the topic, I'm working on my own research, related with something you can measure, real data, instead of "catching" abstract things.

    I completely agree with you. The crypto market has essentially become a testing ground for various trading strategies and, unfortunately, a breeding ground for scams. There's no real market when the entire supply is controlled by a single entity, when price fluctuations are manipulated to attract newcomers, and when machines are used to trade against individual investors. They spread misconceptions about the "market," but what they're really doing is playing a different game entirely.

    Having been involved in the oil market and experienced trading floors firsthand, I understand what real traders do. They are essentially sales managers, either selling from global markets or directly from suppliers to local markets. However, what so-called "traders" in the crypto space are doing is simply betting on price differences—this is nothing like real trading.

    In the crypto market, the primary product is price fluctuation, and the participants are focused on monetizing it. Therefore, the logical focus should be on understanding how price changes occur, not on fundamentals, supply and demand, order blocks, imbalances, Bollinger Bands, or other abstract concepts, nor on speeches or tweets from figures like Powell or others. The key is to study how price changes.

Sorry, but I'm here for a different purpose. Please try to stay on topic.

There's no doubt they're trading this stuff, and the statistics don't lie—that's why they're losing. They'll keep trading like this for decades, feeding those who are using machine learning, AI, high-frequency trading, and other innovative technologies and strategies. While we have quantum computers, some people are still using calculators, and that's just the reality.

think you forgot to take your medicine today

Your question is more on a strategic level, where precise predictions aren't really possible. My research focuses on methods to ensure the implementation of a strategy—essentially, the manipulations involved. However, in my opinion, there is already a reversal formation from the all-time high (ATH). After reaching the 64k mark, I would expect a deep fall, although I wouldn't rule out the possibility of a drop from the current levels.

Thanks for all your replies, everyone. I appreciate the input and agree with the sentiments—"time is money," "there's no such thing as a free lunch," and so on. However, I'm not looking for an employee; I'm seeking a partner, a team.

I understand that we all have bills to pay, and that data science is a well-compensated field. But it seems like some of you may have overlooked the work I've already invested. I'm not asking for compensation for that, but I do expect that we share the results of our research equally.

At the same time, some of you seem to want me to share my findings for free . I will share them, but not for free  —I'm suggesting a profit split instead. How does that sound ?

 Ive already given small explanation about misconceptions, my findings are about open ranges, i was researching open range distributions, and dependencies between close and open ranges distributions.
 I was expected to meet some enthusiast here like me, i knew it wouldn't be easy, but who knows. Anyway thanks.

 This is good example of abstract misconception spreading
 

I believe many trading concepts are based on abstract assumptions and share a common origin, with some being outright misconceptions. Take Fibonacci levels, for example—waiting for a 50% retracement is essentially the same as waiting for a moving average crossover. When it comes to supply and demand, it’s complete nonsense in the context of BTC. While these concepts might apply to markets like grains or coffee, where seasonal supply and strategic demand are factors, BTC operates differently. Here, market makers provide liquidity 24/7, and market efficiency is their goal.

Risk management is another area that’s often misunderstood. The idea of risking 1% of your bankroll isn't efficient while 99% of it is not working. And strategies like risk-reward ratios of 1:3 can fail over time. Even in a vacuum, there are numerous combinations of losses that could eventually break you; it's only a matter of time.

The ICT approach is a compilation of these misconceptions, combining many flawed ideas into one.

As for historical data, numbers reflect specific states of affairs—quantitative aspects of reality as opposed to abstract ones. When combined with a deep understanding of market processes, this data can indeed help make more accurate predictions. You’ll see that the market is far from random. Statistics show that 95% of retail traders lose money. If you think that’s what randomness looks like, you’re mistaken—this is the result of misconceptions spreading and someone's well-executed market strategies.

Hello, community!

I've been involved in crypto since the beginning, but in recent years, I decided to dive into trading. After spending six months studying all available materials on the subject, I realized that many of the traditional methods are either outdated or irrelevant to today’s markets. So, I embarked on my own research journey.

As an economist with experience in big data analytics, I started working with historical data, focusing on price action. After a year of research, I’ve gained a deeper understanding of market processes but also recognized the limits of my own skills.

I’m now looking for a talented Data Scientist or Data Analyst to join me on a voluntary basis. If you excel in data export, analysis, and visualization, and are ready to invest some time in this research, please send me a message.

Discussions are also welcome! 

 When you trade futures and other derivatives, you’re essentially betting on price movements. If the price moves in your favor, you win; if not, you lose. This isn't actual trading.
 In spot markets, you invest money and wait for the price to change so you can profit by closing your position. This, too, is not genuine trading. Both methods involve opening risk positions with a negative expectation side.
 In authentic trading, negative returns aren't a concern, barring extraordinary circumstances. Real trading involves purchasing goods on the global wholesale market and selling them in local markets. True traders are sales managers. I've seen this firsthand on the trading floor of a large oil company.
 So, instead of focusing on conventional trading concepts, it's crucial to understand risk taking, mathematics, and price action.

Psychology alone won't make you profitable. Even if you've managed to hedge your risks and can now accept losses more comfortably, it’s a common practice and necessary to hedge your risks. However, this doesn’t mean your risks are working in your favor.