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 targets companies in the metaverse concept group, with relative volume above 1.5 and below 6, alongside afternoon net inflows from large orders. The document links large-order inflows to market sentiment and describes the…
This A-share screening method combines a turnover-rate band of 3% to 12%, a positive but limited 10-day gain, and a positive large-order control measure above the stated threshold of 21. The document describes control as the difference between large buy and…
This stock screen combines membership in the metaverse concept group with an upward-sloping 30-day moving average and a requirement that at least five moving averages overlap. It is presented as a trend-following filter intended to find stocks with aligned…
This Chinese stock-selection strategy screens for shares with turnover between 3% and 12%, year-over-year growth in net profit attributable to the parent company above 20% and at most 100%, and a positive trailing price-to-earnings ratio. The article frames…
This document describes a Chinese equity screening rule combining turnover, year-over-year net profit growth attributable to parent-company shareholders, and recent price-limit activity. It selects stocks with turnover between 3% and 12%, profit growth above…
This Chinese equity screening rule combines a daily price-range threshold, a market-cap ceiling, positive quarterly earnings, and a KDJ bullish crossover. The crossover is described as J moving above K, alongside recent indicator comparisons; the example…
This post outlines a stock screen that combines a daily price-range threshold with a rising DEA signal, while applying geographic exclusions. It then suggests expanding the screen with valuation measures such as price-to-earnings and price-to-book ratios,…
This post describes a historical A-share stock screen using an RSI reading below 65, a price range greater than 1%, and a 2021 date filter. It presents RSI as a gauge of price strength and overbought or oversold conditions, while the range criterion is…
This stock-selection example screens Shenzhen main-board shares associated with the metaverse theme. Its stated criteria require price above the five-day moving average, positive price-to-earnings and price-to-book ratios, and upper bounds of 29.01 and 3.11…
This stock screen combines three conditions: membership in the metaverse industry, a 2021 listing year, and an opening price near the ten-day moving average of closing prices. The accompanying example describes both a crossover-style technical condition and…
This Chinese equity screen first limits candidates to the metaverse theme, then requires the opening price at 9:25 to be less than six percent above the previous close. It also looks for the weekly five-period moving average to cross above the ten-period…
This note describes a short-term screen for Chinese equities using three conditions: daily high-low amplitude above one percent, a closing price below 20, and a prior-day close that was not near the stated upper limit threshold. It presents the rules as a…
This stock-selection rule combines an amplitude threshold, a weekly moving-average crossover condition, and membership in the beverage and alcohol import-export industry. The article presents the amplitude filter as a way to constrain price movement, the…
This stock screen combines three conditions: membership in the metaverse theme, a positive institutional-flow measure, and MACD above zero. The document frames theme membership as a way to focus on a popular sector, institutional activity as a directional…
This Chinese A-share screening example combines three conditions: a 14-period RSI below 65, market capitalization of at least 200 million, and a 10-day price gain above zero but below 35%. It describes the screen in plain language and provides sample formula…
The article proposes screening Chinese stocks using three conditions: daily amplitude above 1%, at least two limit-up events within a 500-day lookback, and prior-day auction turnover above 0.26. It supplies indicator expressions and a Python-style example…
This Chinese stock screen combines three conditions: amplitude above 1, a shortening negative MACD histogram on a 15-minute interval, and exclusion of companies classified as science and technology innovation listings. The MACD condition is intended to find…
The document describes a Chinese stock selection rule combining price amplitude above 1, tradable shares no greater than 5.5 billion, and exclusion of stocks that hit the daily upper price limit on the previous day. Its rationale is to seek stocks with…
This community post describes a China A-share stock screen that combines recent price behavior with valuation and listing filters. The stated criteria include Shenzhen main-board stocks with positive price-to-earnings and price-to-book ratios below specified…
This stock screen combines three technical conditions: daily high-low amplitude above a threshold, MACD above the zero line, and a rising, ordered set of short- to longer-term moving averages. The intended interpretation is that price movement indicates…
This stock selection rule combines membership in the metaverse theme with a morning price-change cutoff and a historical dividend ratio. The stated rationale is that limiting the early-session rise may help identify rebound candidates, while a dividend ratio…
This proposed A-share stock screen combines turnover between 3% and 12%, a newly formed KDJ bullish crossover, and return on equity above 15% in each of the past five years. The article presents turnover as a measure of trading activity, KDJ as a technical…
This proposed daily A-share screen combines a positive MACD reading, a share price below 12 yuan, and a latest close above the previous session’s low. The article says selections are made before the market opens and frames the price and MACD conditions as…
This Chinese-language article describes an equity screen based on price amplitude, prior-day trading activity, and opening-auction turnover. The stated final rule selects stocks whose amplitude exceeds one, whose prior-day turnover exceeds 60 million, and…