crowding-state2x2

Stock fund crowding state is diagnosed using a 2x2 quadrant analysis based on the z-score of net main inflow and the cumulative inflow to circulating market cap ratio. This categorizes stocks into four quadrants to reflect their current crowding conditions.

Stock crowding state analysis outputs three directional signals: bullish, bearish, and neutral. These signals are derived directly from the 2x2 quadrant analysis to help you understand potential investment movements.

To analyze stock fund crowding state, you need access to stock fund flow data and daily price data. The Skill uses these inputs to calculate the net main inflow z-score and cumulative inflow ratio required for the quadrant analysis.

You can diagnose a specific stock's crowding state by inputting its stock code. The Skill will then evaluate the fund flow metrics and return the corresponding quadrant and directional signal for that stock.

Quadrant analysis for fund flow evaluation is used when you need to understand the crowding state of stocks. It is useful for diagnosing whether a stock's current main inflow and cumulative inflow ratios suggest bullish, bearish, or neutral conditions.

Using net main inflow z-score for stock analysis requires accurate stock fund flow and daily price data. The diagnostic output is limited to directional signals and quadrant placement, meaning it serves as a diagnostic tool rather than a complete trading strategy.