Core Viewpoint - The article discusses the refined trend template for stock selection, emphasizing the use of quantitative methods and moving averages to identify potential investment opportunities in the stock market [2][3]. Group 1: Trend Definition and Improvement - The definition of trend is based on moving averages and the relationship between current prices, minimum, and maximum prices, with a focus on relative strength thresholds [2]. - The article highlights the limitations of simple moving averages due to their lagging nature and proposes the use of a 200-day moving average combined with volume-weighted price averages to enhance accuracy [2]. - The revised trend template includes specific conditions for stock selection, such as current price being within 68% of the highest price in the last year and at least 20% above the lowest price in the last year [3]. Group 2: Stock Selection Criteria - The article outlines a momentum-based stock selection method that includes criteria such as current price being above the 150-day and 200-day moving averages, and the 150-day moving average being above the 200-day moving average [4]. - Additional criteria include the current price being at least 25% higher than the 52-week low and not lower than 75% of the 52-week high, with a relative strength rating ideally around 90 [4]. - The stock selection process can be adjusted by modifying the thresholds of the relative strength conditions to determine the number of stocks that meet the trend template [3][4].

Group 1 - The article discusses the concept of relative strength from the Zulu principle, emphasizing its application in growth stock investment and the popularity of the PEG ratio due to this principle [1] - The relative strength compares the price movement of individual stocks against market indices, which is slightly different from the RS indicator mentioned in another source [1] - A formula for calculating relative strength using Tongdaxin is provided, illustrating how to derive the relative strength value [1] Group 2 - The output curve generated from the calculations is compared with an existing strength indicator (QR) in Tongdaxin, showing that both indicators are similar but have slight differences [2] - The QR indicator's formula is shared, indicating that it can also express the relative strength of the Zulu principle due to the underlying logic being the same [3]

Core Viewpoint - The article discusses the construction of a true cost price curve using cumulative transaction amount divided by cumulative transaction volume, emphasizing its accuracy compared to traditional methods [1]. Group 1: Volume-Weighted Average Price (VWAP) - The article introduces a new formula for calculating VWAP using cumulative transaction amount (AMO) and price (C), which is expressed as SUM(AMO*C,N)/SUM(AMO,N) [1]. - This VWAP formula is designed to be more sensitive and reliable than traditional volume-weighted methods, especially when accounting for stock splits and other corporate actions [1]. Group 2: Standardized Strength Calculation - A new standardized strength formula is proposed, replacing the arithmetic mean price with the volume-weighted price, resulting in VWAP and standard deviation (STDD) calculations [1]. - Two output methods are provided: one using the weighted price as the divisor for deviation and another using standard deviation for normalization [1]. Group 3: Relative Strength (RS) Calculation - The article extends the VWAP concept to calculate a relative strength line (RSLine), which is claimed to be more reasonable than popular moving average methods [4]. - The RS calculation is defined as CLOSE/INDEXC, with a volume-weighted RS (VWRS) formula introduced for enhanced accuracy [4]. Group 4: Output Comparison - The article notes that the output from the new calculations is consistent and stable when configured as a Relative Strength Ratio (RSR) [2]. - It highlights the effectiveness of using volume-weighted prices in producing reliable output compared to traditional methods [2].

Group 1 - The core idea of the article is that regardless of the method used, the final selection is only a few exceptional companies, and each method has its unique anchor [1] - The article discusses the four main lines of the 9.24 market, their development, and current status, focusing on the levels and diffusion of anchors [1] - It emphasizes the relationship between anchors and performance growth in the 9.24 market, using A-share examples to illustrate the qualitative and quantitative conclusions regarding super trend stocks [1] Group 2 - The article presents a stock selection formula based on previous discussions, integrating quantitative descriptions from notable investment literature [1] - It introduces the RSR (Relative Strength Ratio) as a foundational tool for stock selection, with a complete tutorial provided for its setup [2] - The article mentions an optimized stock selection formula that significantly reduces the number of selected stocks to focus on finding "anchors" [2] Group 3 - The article outlines a pre-selection stock pool with three formulas, where the second formula can be used specifically for growth stock selection [2] - It highlights the importance of combining the pre-selection stock pool with pivot point selection formulas for more flexible stock selection strategies [2] - The article provides a list of 59 selected stocks based on the new anchor-seeking formula, indicating that fewer stocks are selected during market downturns [2] Group 4 - The article includes a paid source code for the selection formula, aimed at filtering out those who do not understand the methodology, emphasizing the need for professional financial data support [3]