After studying Chan theory (缠论) for these years, my biggest takeaway is: the things on the chart should not be based on intuition.

In the same market action, ten people can draw ten different pens and line segments—disagreement doesn’t come from悟性 (insight), but from the lack of unified evaluation standards. So I turned Chan theory’s structural identification into an engine: pens, line segments, central pivots, three categories of buy/sell points, multi-timeframe confluences—everything is automatically labeled by algorithms, with the rules hard-coded in the code. Anyone who looks at it sees the same chart.

① Breakdown of chart structure
Using the current real market行情, I show it to you layer by layer: why this pen is drawn this way, where the central pivot is, and how the levels are combined. No predictions about going up or down—only explaining what the structure itself is.

② Formation and refutation of buy/sell points
How first-, second-, and third-class buy/sell points form—more importantly—under what circumstances they will fail. It’s normal in Chan theory for buy/sell points to appear or disappear with new K-lines. Understanding this matters far more than memorizing patterns.

③ Trade-offs behind the algorithm
How to handle a行情 that completes in one burst after a sharp rise or sharp fall, where the feature sequence will stop working, and what differences exist between the engineering implementation and the original definitions. This part is more hardcore, but it’s precisely where most people get stuck.

Things I won’t do: no coin-picking calls, no leading trades, no predicting price levels, and no commitment to any returns.
Chan theory is an analysis tool, not a crystal ball. The value of a tool is to give your judgment a basis—not to make decisions for you. #缠论 #交易