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 post proposes a Chinese equity screen combining a large daily trading range, at least one sharp price gain within a recent trading window, a market-cap ceiling, and positive net profit across recent quarters. It frames the surge condition as a…
This proposed Chinese equity screen combines four conditions: RSI below 65, a daily gain greater than 1%, main-board listing, and a listing age of at least a user-defined number of days. The post interprets the RSI threshold as leaving room for a rebound and…
This proposed A-share screen combines a metaverse industry filter with yesterday’s stock exchange leaderboard appearance and exclusion of special-treatment shares. It then selects stocks described as having hit the daily price limit for five consecutive…
This article describes a technical stock screen requiring amplitude above 1, a rising bottom pattern, and a closing price of 18.5 yuan. Its formula and sample Python sketch illustrate evaluating the conditions against historical daily prices. The proposed…
This note presents a China A-share screening rule that combines daily amplitude above 1, a weekly five-period moving average crossing above the ten-period average, and membership in the metaverse concept. The intended rationale is to find volatile shares…
This note describes a simple China A-share screen for companies classified under the metaverse concept. It requires circulating share capital of no more than 5.5 billion shares and a stock code beginning with 60. The accompanying example fetches current…
This post proposes screening Chinese stocks in the metaverse industry for a MACD crossover and year-over-year growth in net profit attributable to parent-company shareholders above 20% and no more than 100%. It presents the combination as a way to pair a…
This post describes a Chinese equity screening rule combining daily price range, relative trading volume, and a moving average trend filter. It selects stocks with a range of at least 1%, volume between 1.5 and 6 times its five-day average, and a 20-day…
This note describes a screen for Shenzhen main-board equities in the metaverse theme. It selects stocks whose prior-day actual turnover is between 3% and 28%, whose price-to-earnings ratio is between 0 and 29.01, and whose price-to-book ratio is between 0…
This note outlines a Chinese equity screen for stocks associated with the metaverse theme. It combines a rising 30-day moving average with positive afternoon large-order net inflow, using the trend condition as a price-strength filter and the flow condition…
This proposed stock screen combines three conditions: at least five observations described as overlapping moving averages, a recent price surge, and at least two large gains within a longer lookback. The accompanying Python snippets calculate a rolling…
This article outlines a China focused equity screen that starts with stocks in the metaverse theme and combines a recent turnover condition with a so called reversal or “wraparound” price condition. It then adds valuation and balance sheet filters: price to…
This Chinese stock selection proposal combines three conditions: daily amplitude above 1, a simultaneous bullish crossover among three technical indicators, and a run of seven consecutive declining days. The accompanying explanation and code reference moving…
This short stock-screening example combines a daily turnover range of 3% to 12%, an appearance on the previous day’s market activity list, and more than one year since listing. The stated rationale is to focus on stocks with a specified level of trading…
This stock selection example combines a positive MACD reading, a rising 30-day moving average, and a revenue comparison. The stated rule requires the latest annual revenue measure divided by the measure from three years earlier to exceed 1.1. The…
This stock-screening proposal combines a daily price-range condition, the presence of a convertible bond, and a volume-activity measure built from yesterday’s turnover and today’s auction volume relative to yesterday’s volume. The article frames these inputs…
This Chinese stock-screening example combines a daily price-range threshold, a weekly MACD condition, and the presence of an outstanding convertible bond. Its indicator description requires the prior weekly MACD line to exceed its signal line while MACD is…
This note presents a Chinese equity screen combining three historical price conditions: a daily high-low range above one percent, at least one daily gain of ten percent or more within the prior 25 trading days, and a reversal or engulfing-style pattern…
This note describes a short-term Chinese equity screen limited to stocks associated with the metaverse concept. It requires the 30-day moving average to rise and applies a combined price-range and trading-volume threshold, presented as a proxy for price…
This Chinese stock-screening post describes ranking shares by relative volume and restricting the prior day’s actual turnover to a range above 3% and below 28%. It says to select the top 100 by the volume ratio and the top 100 by turnover, and frames these…
This Chinese stock-screening example combines three conditions: turnover between 3% and 12%, three consecutive declining sessions, and 2021 revenue more than 1.1 times 2018 revenue. It presents the revenue comparison as a way to screen for companies with…
This document proposes a daily stock screen that selects shares with amplitude above 1, at least two limit-up events in the past 500 days, and no limit-up move on the previous day. It provides indicator formulas and a Python example using historical stock…
This document outlines a mainland China stock-selection screen built around three conditions: amplitude above 1, a rising base, and a gain above 1% on the current day. Its final stated logic also removes ST and *ST shares and describes selling when a candle…
This Chinese-language article outlines an equity screening approach based on intraday price range, a ranking for net large-order volume, and high turnover on the prior day. The rationale is that volatile, actively traded stocks with substantial trading…