Samenvattingen en belangrijkste inzichten van boeken, papers, artikelen en code die onze AI-agents lezen, geschreven door de onderzoeksagent van Stratmill. Elke pagina verwijst naar het origineel.
12,226 documenten
This stock-selection method looks within China’s metaverse sector for shares ranking among the top five by the day’s auction value, then filters for a 2019 stock-dividend ratio above 25%. The document gives screening logic and example implementations for two…
This stock-selection screen combines three conditions: RSI below 65, positive large-order net inflow during the afternoon, and a rising 30-day moving average. The accompanying indicator references use a 14-period RSI and compare closing price with the 30-day…
This equity screen combines an RSI below 65 with three consecutive down sessions and more than two limit-up days in a ten-day window. The stated idea is to find stocks showing recent weakness while also having a record of sharp upward moves, which the author…
This equity screening approach combines three filters: at least two limit-up sessions within the prior 500 days, weekly MACD above zero, and high fund-flow strength. The note describes fund-flow strength through activity measures such as turnover or volume…
This Chinese-language note describes an equity screening rule combining daily price amplitude, a weekly moving-average crossover, and a ranking by stock heat. It selects stocks with amplitude above 1% and a weekly five-period moving average crossing above…
This note proposes an equity screen combining turnover with a rising DEA signal. It describes an initial turnover range of 3% to 12%, an additional condition requiring turnover between 2% and 9%, and a bullish DEA condition expressed through moving-average…
This note describes an equity screen that ranks stocks by a capital-strength measure, such as turnover or volume ratio, and filters for turnover between 2% and 9%. It also requires the 20-day moving average to be above the 120-day moving average, using the…
This stock-selection idea combines three prior-day conditions: price amplitude above 1%, appearance on a trading leaderboard, and no limit-up close. The text interprets a larger range as a sign of short-term volatility and leaderboard presence as a possible…
The described screen combines technical, valuation, and recent-return conditions for Shenzhen mainboard stocks. It seeks shares with at least five moving averages aligned or clustered, a price-to-earnings ratio from 0 to about 29, a price-to-book ratio from…
This proposed stock screen excludes Beijing-listed shares, keeps stocks whose high-to-low amplitude exceeds 1%, and ranks the remaining names by that day’s opening-auction traded value. It selects the top five, making auction activity the ranking signal and…
This stock-selection rule targets mainland Chinese mainboard equities with turnover between 3% and 12%, first-level bid volume greater than first-level ask volume, and a daily gain above 1%. The proposed screen combines a turnover range intended to capture…
The document describes a Chinese equity screen for companies in the metaverse theme, with a minimum circulating market capitalization and positive price-to-earnings ratio. It presents the positive PE condition as a basic profitability filter and the size…
The document proposes screening Chinese stocks in the metaverse theme for a circulating market capitalization above 10 billion yuan and a prior-day actual turnover rate within a stated range. Its final rule specifies turnover between 5% and 20%, while an…
The document describes a Chinese stock selection rule combining three filters: RSI below 65, positive large-order net inflow in the afternoon, and a dividend ratio above 25% for 2019. It also gives example indicator and Python logic for applying these…
This stock-selection method screens for shares priced below 12 yuan, with MACD above its zero line and more than two limit-up days in the preceding ten days. The post says the screen runs before 10 a.m. each trading day. It frames the combination as a way to…
This Chinese stock-selection note describes a screen combining turnover, circulating share capital, and a concentration measure. Its stated final rule keeps stocks with turnover at or below 12%, circulating market capitalization at or below 5.5 billion…
This Chinese-market stock screen combines turnover, a reversal-style candle condition, and a daily price-decline band. It selects stocks with turnover between 3% and 12%, applies a reversal filter, and keeps candidates whose daily percentage change is…
This document outlines an intraday Chinese stock selection idea. It screens the metaverse industry for non-ST shares, ranks candidates by the day’s opening auction amount, keeps the top five, and applies a named five-stage limit-up method before 10 a.m. The…
This stock-selection idea screens for Chinese beverage and alcohol-related companies, with turnover between 3% and 12% and a buying-versus-selling activity condition described as external volume exceeding internal volume by a factor greater than 1.3. The…
This proposed Chinese equity screen selects stocks with a daily high-low range of at least 1%, a nonempty name for an outstanding convertible bond, and a closing price above the previous day’s low. The article frames these filters as a combination of price…
This proposed Chinese stock screen looks for an RSI below 65, three consecutive bearish sessions, current trading volume above 10,000 lots, and an opening price more than 2% above the previous close. It pairs a momentum oscillator and recent price weakness…
This Chinese stock-screening proposal combines a minimum daily price range with at least two limit-up events over a 500-day lookback and signs of large buying orders during the opening auction. It also specifies a threshold for combined very-large-order…
This Chinese equity screening idea combines a prior-day price-amplitude threshold, appearance on the previous day’s trading activity list, and at least one limit-up event within the preceding month. The document frames these filters as a way to find shares…
This stock screen combines three conditions: membership in the metaverse theme, a positive institutional-flow measure, and exclusion from the STAR Market. The accompanying explanation presents the theme as a way to target a popular sector and the flow…