在私下沟通中经常会遇到有些朋友提出一些量化的想法，其中最多的一种就是：把某某某图形写成公式。 很多人的量化之路都是从类似的想法起步的，因为K线图形最为直观，看多了之后，沉淀最多的东西也在图形 上，或者掌握了某种图形模式，觉得它胜率很高，于是很想把类似图形的股票快速选出来。 其实通达信软件本身就带有一个形态匹配选股的功能，你只需要把看中的图形结构用右键框住，然后弹出菜单 中就有一个形态匹配选股的功能选项，不信你可以试试，说不定有意想不到的收获： 但是你很快就会发现，用公式来描述形态很困难，无法周全，你觉得这样写已经把形态描述得很清楚了，但是 一跑选股器就发现选出来很多压根不是自己想要的，更或者自己想要的又漏掉了。然后就不断耗费精力去增添 条件或者修改条件，公式搞得无比复杂，最后结果往往还不能如愿。 这里面有一些要紧的问题，第一，我们的主观看法其实偏差很大，同一个形态，不同的人理解相差非常大；第 二，即便是最标准的形态，实际走势中不存在两个一模一样的。所以，图形是个性化最多的表层，试图在这个 层面是去描述通用筛选器，肯定是难度最高且效果最差的。 市面上流传的绝大多数选股公式都是图形+均线的描述方式，包括那些口袋支 ...

Core Insights - The article emphasizes the importance of selecting the right stock trading app in the digital investment era, highlighting that the monthly active users of Chinese securities apps have surpassed 166 million, with a penetration rate of 15.46% [1] Group 1: Key Features of Leading Stock Trading Apps - Sina Finance App is recognized for its comprehensive capabilities, integrating real-time data, intelligent analysis, rapid trading, and social insights, making it a preferred choice for professional investors [2] - The app covers over 40 global markets, including A-shares, Hong Kong stocks, US stocks, futures, foreign exchange, and precious metals, with a data refresh speed of 0.03 seconds and exclusive access to Nasdaq Level 2 data [3] - The built-in "Xina AI Assistant" can condense a 5,000-word annual report into a 300-word summary, highlighting risk and opportunity points with color coding [3] - The app supports a distributed trading gateway capable of handling 120,000 concurrent transactions per second, maintaining zero lag during market turbulence [3] - The integration of social media insights from Weibo finance influencers creates a dynamic loop of information, analysis, and trading, with 82% of community-certified analysts filtering out 99% of noise [3] Group 2: Comparative Analysis of Other Stock Trading Apps - Tonghuashun is favored for cross-platform trading, covering 90% of brokers, and features a natural language search for stock selection [4] - Dongfang Caifu aims to build an intelligent internet wealth management ecosystem, offering comprehensive services from market data to community engagement [5] - Futu NiuNiu is a licensed brokerage platform that provides free Level 2 US stock data and supports pre-market and after-hours trading, making it a tool for cross-border investors [6] - Xueqiu has evolved into a successful investment community, offering user-generated content and a transparent display of real trading strategies [8] - Dazhihui specializes in high-frequency trading with a millisecond response time, suitable for A-share traders [9] - Tongdaxin focuses on technical analysis, providing a rich library of indicators and supporting Python strategy backtesting [10] Group 3: Recommendations Based on User Needs - For users seeking a single app, the Sina Finance App is recommended for its global monitoring, intelligent tools, and social validation, serving as an efficient navigation tool through market complexities [12] - For cross-border investors, Futu NiuNiu is highlighted as a strong choice for Hong Kong and US stock investments, particularly for Chinese investors [14] - Technical analysis enthusiasts may find Tongdaxin and Dazhihui suitable due to their extensive indicator offerings [14] - For community engagement, Xueqiu and Dongfang Caifu provide substantial user-generated content, although caution is advised regarding information verification [14] - Institutional and professional investors may prefer Wind Stock for its comprehensive data, despite its high cost [14]

Core Viewpoint - The article discusses the development and implementation of the RSR (Relative Strength Ratio) indicator, emphasizing the importance of a comprehensive strength calculation that considers both upward movements and pullbacks, rather than just price increases [1]. Individual Stock RSR Indicator Setup - The first step involves setting up the basic formulas for RSV and VWAP, which are essential for calculating the RSR [2]. - The second step requires creating extended data to compute the basic formulas, ensuring that the sequence numbers align correctly [3]. - The third step is to create the "RSR Individual Stock" sub-indicator, which averages the extended data from RSV and SSV, and must be named precisely to avoid errors [7][10]. Industry RSR Indicator Setup - The industry RSR has been modified to only use SSV data for stability in trend investment, discarding the RSV data due to its high sensitivity in industry rankings [11]. - The setup process for the industry RSR involves creating two extended data outputs, ensuring they do not conflict with existing formulas [11][12]. - The final step is to create the "RSR Industry" sub-indicator, which directly uses SSV1 output without averaging, focusing on stability during bullish market conditions [14][15]. Custom Sector Setup - Instructions are provided for setting up custom sectors within the trading software, allowing users to create identifiable folders for their analysis [16]. - The article outlines how to display sector data and manage custom sectors effectively, including importing data into newly created folders [18][19]. System Settings - The article mentions the need to adjust system settings to facilitate the research of industry classifications, ensuring that the necessary data is displayed correctly [20].

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].