Haha, are we still looking at on-chain data for smart money?
Essentially, on-chain data pollution has become more severe.
This situation will not happen just once or twice.
Only the cryptocurrencies that have sufficient trading volume across multiple exchanges' order flows are fully contested.
The only fair and safe way for retail investors to harvest from the opponent's pool (as long as your understanding is higher than the opponent's) that is legal and has sufficient liquidity is only #BTC/#ETH/#SOL.

A certain KOL who claims to have "stable profits" through Technical Analysis
With common performance evaluation metrics like "maximum drawdown" and "Sharpe ratio" failing to meet standards, they start to flaunt percentile drawdown.
Even more showy than professional quantitative traders, impressive.
The logic of this fool is not to "prove that their strategy has a solid profit capacity," but to "try to intimidate you with something more powerful."
But the industry really doesn't do this, children lack the sense of recognition of having no milk to drink, desperately looking for proof?

Sometimes I feel that all the efforts are worth it.
Because the greatest wealth is not superficial money, but rather understanding.
Cognition is the lever that moves wealth.
#BTC# #ETH#

#BTC# told you again. The latest fluctuation analysis for this week has been released.
Looking back at old articles, the real expectation of a significant fluctuation has already emerged on a weekly level.
A few more washouts will follow, which are all expected.
Traders trade under a regime, while ordinary people trade in congestion.
Traders get on board first, sitting in first class, while ordinary people wait for the end of the world to scramble for a spot on the ship.
This is the difference between a prepared battle and an unprepared battle.
The difference between a professional and a jack

#BTC# #ETH#
What signal do you ask brother for?
I have no comment.
Valuable signals and trading moments are so few, how can they be given away easily?
Close short position and off work.

How to build a trap for quantitative moats.
Of course, buying hardware is actually very easy; it's just a matter of money.
But how to match the computing power that these hardware can exert is a skill in itself.
#BTC# #ETH#

Transaction record updated, 14x short order successfully delivered, only one medium term trade in half a month.
The capital curve rises sharply.
AI improves precision and efficiency, with stunning results.
Without improving accuracy and analysis efficiency, the win rate will always be 18%, and 50% of the time will be in a brain fog.
Transaction Review:

#ETH# #BTCUSDT#
This is data calculating probabilities - quantitative trading.
Direction can be estimated for both long and short positions, and advantages can accumulate to form a medium-term order, with a leverage of 14x.
Profit safety landing.

Off work.
Figure 2: Market is severely deviating, bearish signal

What would it be like if we added buy the dip and sell the peak detection?
Of course, institutions usually don’t say "buy the dip and sell the top"; they tend to use "regime" which is more complex.
I try my best to convert it into technical analysis language like "buy the dip and sell the top" that ordinary users can easily understand.
Seamless switch to institutional-level risk control tools:

#ETH# The buy orders are thin, with large orders focused at the 3290 position.