Resumos e ideias principais, escritos pelo agente de investigação da Stratmill, dos livros, artigos científicos, artigos e código consultados pelos nossos agentes de IA. Cada página inclui uma ligação para o original.
12,226 documentos
The article explains hidden Markov models as a way to infer unobserved market regimes from observable data. It illustrates the idea with Chinese equities, treating market conditions such as bull, bear, and sideways phases as hidden states and returns and…
This educational article introduces operations on matrices and vectors as groundwork for understanding deep learning. It defines elementwise matrix addition, adding a scalar to each matrix element, and broadcasting a vector across matrix rows. It then…
The document presents a Chinese equity screen combining turnover, parent-company net profit growth, and recent daily price moves. It selects stocks with turnover between 3% and 12%, year-over-year profit growth above 20% and no more than 100%, and at least…
This note describes a short-term A-share screen combining a positive but limited ten-day return, a circulating market value between 5 and 10 billion yuan, and a same-day increase in holdings above five percent. The intended idea is to find stocks with recent…
This document outlines a short-term A-share screen using capital-strength rankings, stocks appearing on the previous day’s 龙虎榜, and more than two limit-up sessions during the prior ten days. The rationale is that strong capital activity and limit-up…
This note describes a Chinese A-share screen combining an intraday amplitude above one, exclusion of ST-designated stocks, selection before 10 a.m., a five-part limit-up method, and exclusion of Beijing-listed shares. Its example translates these ideas into…
This Chinese equity screen combines a metaverse industry classification with a rising 30-day moving average and a revenue growth condition. It requires the current 30-day average to exceed its prior value and the stated 2021-to-2018 revenue ratio to be…
This Chinese equity screen combines a daily price range filter, a weekly MACD condition, and relative trading volume. It selects stocks whose daily high-low range exceeds 1% of the previous close, whose weekly MACD is above zero with the MACD line above its…
This Chinese equity screening approach combines three conditions: today’s increase in holdings must exceed 5%, the weekly price must cross above its 30-week moving average, and the 30-day moving average must be rising. Together, these are intended to capture…
This Chinese equity screen combines three signals: daily high-low amplitude above 1%, a large-order net-volume ranking threshold, and price above its five-day moving average. The rationale is to find actively traded stocks with signs of buying interest and a…
This stock screen combines three filters: membership in the metaverse industry, a positive institutional-flow measure, and a seven-session sequence of declining closes. The article presents the idea as a way to find weak recent price action in a sector while…
The document describes a Chinese stock-selection screen combining a robot-related company label, a 2021 listing year, a circulating market capitalization below 10 billion, and turnover between 3% and 12%. Its accompanying indicator example calculates average…
This post describes a Chinese A-share screen for metaverse-related stocks with circulating share count no greater than 5.5 billion and more than two limit-up events during the previous ten trading days. It frames the screen as a way to find stocks with…
This Chinese-language post outlines an A-share screen for stocks with an intraday amplitude above 1%, a robotics concept classification, and circulating market value below 10 billion yuan. It ranks qualifying names by that day’s auction amount and selects…
This document describes a Chinese stock screening rule focused on companies classified in the metaverse industry. It seeks stocks whose opening price is near the 10-day moving average and whose turnover falls between 2% and 9%. The article gives example…
This Chinese stock-selection method screens for a positive MACD reading, an external-to-internal volume ratio above a stated threshold, and a positive ten-day return below an upper bound. Stocks meeting all conditions are then ranked by their ten-day gains.…
This Chinese equity screen combines three technical conditions: daily price amplitude above a threshold, a positive weekly MACD histogram, and a rising DEA-related measure. The article describes these as signs of price activity and technical strength, then…
This Chinese stock screen combines membership in the metaverse sector, a minimum threshold for circulating market value, and a prior-day measure of main-investor control. The accompanying explanation interprets a high control reading as a sign that…
This Chinese stock-screening example selects shares in the metaverse industry when the KDJ indicator has just crossed bullishly and the stock ranks among the top ten for large-order net volume. It proposes running the screen before 10 a.m. on each trading…
This stock-selection screen combines a positive MACD reading, a share price below a stated threshold, and a ranking based on large-order net volume. It is intended to run before market open on each trading day. The accompanying rationale is that a positive…
The document describes a stock selection rule combining three technical conditions: an amplitude threshold, rising bottoms, and a weekly crossover of the five-period moving average above the ten-period average. It presents the rule as a way to identify…
The post describes a Chinese equity screening rule that selects stocks with turnover between three and twelve percent, a prior-day appearance on the broker ranking list, and a limit-up event within the preceding twenty-five days. It includes example formula…
The document presents a Chinese equity screening rule that selects stocks with turnover between 3% and 12%, at least one limit-up event during the prior 25 days, and previous-day trading value above 60 million. It includes a formula-style expression and a…
This A-share selection proposal combines price range, turnover, and a price-change measure multiplied by net flow attributed to very large orders. The stated screen requires a range above one percent, turnover between two and nine percent, and a positive…