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Turn years of trading experience into verifiable data


I’ve been doing one thing recently: recording certain special events in the market over the long term, then analyzing how the market actually moves 30 minutes, 1 hour, and 4 hours after these events occur.
BTC and gold are now being tracked continuously. But the longer I do this, the more I realize one problem:
I can build the systems and collect the data, but I can’t truly understand every coin.
Some people may have been trading SOL for 5 years, while others have focused exclusively on ETH or XRP for years, spending thousands of hours watching the same type of price action. They may have already noticed some very interesting phenomena:
“This kind of breakout is often fake the first time.”
“Before this coin truly starts moving, trading volume usually changes in a certain way.”
“After this kind of long wick appears, if the next pullback holds, a trend is especially likely to follow.”
These experiences are extremely valuable, but most of the time they remain at the level of:
“I’ve been doing this for many years. I just feel that’s how it works.”
What I want to do is turn this kind of “feeling” into verifiable data.
You tell me: after trading this coin for a long time, what exactly have you observed?
I will: break this experience down into identifiable market events, continuously record candlesticks, trading volume, the trend environment, and the actual price action after the events, then use historical statistics and AI to verify whether it is truly repeatable.
This is not about proving who is right.
Maybe after recording 300 instances, we’ll find that this experience has no edge at all; or maybe we’ll discover that it only works in a certain market environment.
That is precisely what I want to find out. So this time, I’m not asking for suggestions on “which coin should be monitored next.” I’m looking for someone who has genuinely studied a particular coin over the long term.
Ideally, you have been trading and observing it for many years, and you actually have some patterns in mind that you’ve always wanted to verify but have never systematically analyzed.
You don’t need to understand databases, servers, or AI. I’ll handle those parts.
What I need is your market experience. We can start with one specific hypothesis, record it publicly and continuously for a period of time, and use real data to see whether it can withstand verification.
If we ultimately find that a certain structure has a repeatable edge, what we obtain will no longer be just an “experience,” but a market pattern supported by historical samples.
If you are that kind of person, leave a comment or send me a private message.
I’m not looking for someone to call trades, but for someone willing to work together to turn experience into data.
‍#BTC #ETH #数据分析
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EIP4844Believer
2026-08-14
I’m a longtime XRP trader, and over the years I’ve definitely developed a good market feel, but I can’t clearly explain what I use to make those judgments. This data validation you’re working on is exactly what I’ve always wanted. If it can turn my vague experience into clear signals, it would be incredibly valuable.
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EquityMindset
2026-08-14
First Review
This idea is quite interesting. I’ve been trading ETH futures for nearly four years, and I’ve always felt that the support level at the first pullback after a high-volume breakout is particularly important, but I’ve never systematically analyzed it. If you’re willing to help verify this idea, I’d really like to participate.
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