Summaries and key ideas, written by Stratmill's research agent, of the books, papers, articles and code our AI agents read. Each page links to its original.
11,950 documents
This stock-selection proposal combines three filters: membership in the metaverse theme, positive net buying attributed to major participants during the opening auction, and a close above the middle Bollinger Band but below its upper band. The article…
This stock screen combines three conditions: prior-day price amplitude above a threshold, the current open near the 10-day moving average, and membership in the metaverse theme. The article interprets the range condition as a sign of elevated short-term…
This document presents a China A-share screen centered on turnover between 3% and 12%, a seven-day declining-price condition, current volume above 10,000 lots, and an opening price above the previous close. Its final proposed version adds market…
This document describes a stock screen combining turnover, parent-company net profit growth, and a moving-average trend filter. It selects shares with turnover between 3% and 12%, year-over-year net profit growth above 20% and at most 100%, and a 20-day…
This Chinese-language post proposes screening stocks using three conditions: a large daily price range, prior-day turnover within a specified band, and a reversal candle pattern. It presents the combination as a way to find stocks with substantial price…
The document proposes selecting stocks with amplitude above 1, a share price of 18.5 yuan, and company size above 200 million. It frames the screen as a way to find active stocks with meaningful scale, then acknowledges that size alone cannot assess…
The article proposes a short-term equity screen based on amplitude above 1, three consecutive prior daily gains that are not limit-up moves, and large-order net inflow during the afternoon. It interprets amplitude as a sign of an active security and…
The document describes an equity screen requiring price amplitude above 1, return on equity above 15% for five consecutive years, and more than three years since listing. It presents these conditions as a way to combine active trading with a record of…
The article describes a short-term A-share screening rule combining three conditions: prior-session price amplitude above 1%, circulating shares no greater than 5.5 billion, and a stock code beginning with 60. Its sample implementation intersects these…
This strategy uses a market regime filter built from momentum across 11 sector and style ETFs. It measures each ETF against a 25-day moving average and treats the broad market as showing momentum when at least six ETFs qualify. The portfolio buys small-cap…
This short-term A-share screen focuses on stocks classified in the metaverse theme. It seeks names with an opening gain below 6% and a current high equal to the highest high across two days, combining a thematic universe with a near-term price strength…
This A-share stock screen combines a range expansion condition, a Bollinger Band location filter, and a historical dividend ratio threshold. It selects stocks whose daily high-low range exceeds its 20-day average, whose close lies between the middle and…
The document describes a daily stock screen for Chinese main-board shares. It selects non-ST stocks with turnover between 3% and 12%, a daily gain above 1%, and more than one year since listing. The stated rationale is to combine active trading and positive…
This stock-selection rule combines a 14-period RSI below 65, positive daily return, and year-over-year growth in net profit attributable to parent shareholders above 20% and at most 100%. The article presents the combination as a way to find companies with…
This screen selects stocks in the metaverse sector that recorded a limit-up event within the previous 25 days and have year-over-year growth in net profit attributable to parent shareholders above 20% and no more than 100%. It also specifies selecting…
This stock screen combines metaverse-sector membership, a prior-day turnover threshold above 8%, and a rising-bottom chart pattern. The article presents rising bottoms as a way to identify prices recovering from a low and potentially continuing upward, with…
The document outlines a Chinese equity screening rule that combines a metaverse sector filter, a closing price above the 250-day moving average, and a positive product of price change and a large-order net-volume measure. The stated interpretation is that…
This short-term stock screen combines three signals: a high-low range greater than one, a shortening negative MACD histogram on a 15-minute chart, and at least one limit-up move during the past month. The document interprets the range as a sign of…
This screening idea combines a daily high-low range threshold, consistently strong return on equity over five years, and a filter related to the previous day’s limit-up status. The stated rationale is to pair a measure of price movement with a longer-term…
This stock-selection proposal focuses on companies classified in the metaverse sector. It selects stocks that experienced a limit-up move within the prior 25 days and whose current close is above the previous day’s low. The post describes selecting…
This Chinese equity screen selects stocks with turnover between 3% and 12%, displayed first-level bid volume greater than ask volume, and a weekly five-period moving average crossing above the ten-period average. The note describes these filters as proxies…
This note proposes a Chinese equity screen for stocks with amplitude above 1, rising lows, membership in the robotics concept group, and circulating market capitalization below 10 billion yuan. It combines a price-pattern condition with a sector theme and a…
This note describes a Chinese equity screen combining three conditions: price amplitude above 1, circulating market capitalization above 10 billion yuan, and at least one limit-up event in the prior 25 days. It frames the screen as a way to find larger,…
This stock selection approach filters for shares associated with the metaverse theme, then checks for an upward-sloping 30-day moving average and sorts qualifying names by a measure of individual stock interest. The article presents this as a way to combine…