Market Analysis - The previous Bitcoin price prediction of $90,000 was based on an expected liquidation cascade in altcoins, which has already occurred [1] - The need for Bitcoin to reach $90,000 to trigger altcoin liquidations is now diminished due to the historic altcoin liquidations already observed [1] - The industry needs to re-evaluate positions and strategies in light of recent market events [1] Trading Activity - 25% of profits from a Bitcoin short position have been realized [1] - 50% of profits from RSR and AVAX short positions have been realized [1] - Buy orders for certain altcoins have been triggered [1] - The strategy is to primarily hold cash and maintain a Bitcoin short position [1] - The current portfolio consists of a mix of existing positions and new short positions [1] - The industry emphasizes the importance of patience in executing new strategic orders [1]

Core Viewpoint - The article aims to enhance understanding of the Beast Momentum System for stock selection, providing updated methodologies and formulas for users to apply in their investment strategies [1]. Group 1: Basic Setup - Users are advised to set up SSV and RSL indicators, with specific formulas provided for both mobile and computer users to facilitate stock selection [1][2]. - A pre-selection stock pool can be created based on fundamental requirements, with a formula shared for identifying stocks with cumulative growth in the third quarter [2]. Group 2: Leading Stock Pool - After setting up the basic indicators, users can identify strong stocks using specific criteria, resulting in a selection of over 100 stocks that are currently performing well [5]. Group 3: Short-term Momentum Conditions - To further narrow down the stock list, short-term momentum conditions can be applied, focusing on either breakout or pullback strategies [6]. - Two short-term momentum indicators, OVS and RS_D, are highlighted for use in identifying suitable stocks for low-risk entry points [6]. Group 4: Breakout and Pivot Point Stock Pools - Breakout strategies are simplified through specific criteria that can be applied to identify stocks poised for upward movement [8]. - The article also discusses the use of pivot point indicators to capture significant entry opportunities, with recommendations to incorporate industry strength values for better selection [10]. Group 5: Final Strategy - Understanding the differences between long-term and short-term strength indicators simplifies the stock selection process, allowing for adjustments in strength thresholds to target desired stock ranges [11].

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]