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 Chinese stock-screening strategy combines three filters: daily amplitude above 1%, weekly MACD above its zero line, and a ratio between yesterday’s turnover rate and today’s auction activity within a stated band. The article frames the filters as a way…
This post proposes a stock screen using three conditions: daily amplitude above one, a top-five rank by the day’s auction amount, and a positive weekly candle with volume above the prior week. The weekly condition therefore combines price direction with a…
This post describes a daily stock screen for Shenzhen Main Board listings. It selects stocks with price amplitude above one, excludes stocks that closed at the daily limit-up on the prior session, and applies positive price-to-earnings and price-to-book…
The proposed screen selects stocks whose price is near five moving averages, that were not limit-up stocks the previous day, and whose indicated price at 9:25 is less than 6% above the prior close. The article suggests that clustered averages may represent a…
This stock screen combines three conditions: daily price amplitude above 1%, at least one limit-up event during the previous 25 days, and a weekly price crossing a 30-week moving average. The article interprets high amplitude and a recent limit-up as signs…
This stock screen combines a price-range threshold, a geographic exclusion, and a moving-average trend filter. It removes Beijing-listed stocks, selects shares whose high-to-low range exceeds one percent, and seeks an upward short-term trend using moving…
This A-share screening method combines a relative strength index threshold with order-book volume and simultaneous bullish crossovers. It selects stocks with RSI below 65, bid-side volume greater than ask-side volume, and bullish conditions across MACD, KDJ,…
This note outlines an equity screen for stocks with a daily high-low range of at least 1% of the low, relative volume between 1.5 and 6 times its five-day average, and no limit-up close on the prior day. Its final stated selection rule also requires the…
This document describes a historical A-share selection rule combining daily turnover, the opening price relative to the 10-day moving average, and a calendar filter. It selects stocks with turnover between 3% and 12% whose open is within 5% of the 10-day…
This post outlines a Chinese A-share stock screen combining turnover between 3% and 12%, a rising DEA signal, and a previous closing price above the 250-day moving average. The filters combine trading activity with a technical momentum and trend check. The…
This post describes a Chinese A-share selection screen that keeps stocks with turnover between 3% and 12%, an outside-to-inside trade volume ratio above 1.3, and codes beginning with 60. The turnover band is presented as a way to focus on stocks with trading…
The document presents a Chinese stock screening idea combining a MACD condition, money flow strength ranking, and a focus on stocks that performed well during 2021. Its final stated logic adds a market capitalization floor of 10 billion yuan. The…
This stock screen selects Shenzhen Main Board shares using a mix of recent price activity, trading liquidity, and valuation. It requires an amplitude above 1, prior-day turnover above 60 million, a price-to-earnings ratio between 0 and 29.01, and a…
This post proposes screening metaverse-related stocks using positive institutional activity and a ranking based on large-order net volume. It presents these flow measures as indicators of investor attention and concentrated buying, then describes selecting…
This post outlines an equity screen combining three signals: reported buying activity above a threshold, seven consecutive sessions with falling closing prices, and a positive but capped return over the prior ten sessions. The intended interpretation is to…
This post describes a proposed screen for stocks associated with the metaverse theme. It combines a simultaneous bullish crossover condition across three technical indicators with a specified range for the day’s largest decline, aiming to identify stocks…
This Chinese-language post outlines an equity screen intended to find possible short-term rebounds among stocks in a pullback. It combines three filters: prior-session amplitude above 1%, an opening price within 5% above or below the 10-day moving average,…
This Chinese equity screen selects stocks whose codes begin with the Shanghai prefix, with turnover between 3% and 12% and a volume ratio between 1.5 and 6. The rationale is to seek shares with meaningful trading activity and market attention without…
This note describes a short-term Chinese equity screen combining daily price range, large-order net flow ranking, and a limit-up event within the prior 25 days. It presents these conditions as proxies for trading activity, capital interest, and market…
The document presents a Chinese A-share screening idea that combines a positive MACD reading, upward separation of short moving averages, and a session high matching the highest level over the prior two days. It explains these conditions as signals of…
This Chinese stock-screening strategy combines a positive MACD reading with a company-type filter and a ratio of external to internal trading volume above 1.3. It is framed as a way to select stocks using both technical conditions and trading activity. The…
This Chinese equity screen selects stocks with turnover between specified bounds, a listing year of 2021, and at least five overlapping moving averages. The article presents turnover as a liquidity consideration and moving-average overlap as a technical…
This Chinese equity-screening proposal combines several technical and activity filters: at least five moving averages are described as overlapping, trading activity must exceed a stated threshold, the stock must open higher, and its gain at 9:25 must remain…
This Chinese stock-screening example combines metaverse concept membership with a simple price condition: the current close must exceed the prior session’s low. It also limits candidates to companies below a stated market-cap threshold and requires positive…