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.
12,226 documents
This Chinese A-share screening example combines a metaverse industry filter with a volume ratio between 1.5 and 6 and a positive weekly red-bar signal. Its final version adds a circulating market capitalization cap of 20 billion yuan. The article supplies…
This proposed stock screen selects shares with turnover between 3% and 12%, greater displayed volume at the best bid than at the best ask, and an opening price near the 10-day moving average. The stated rationale is to combine trading activity with a simple…
This proposed China A-share screen combines three conditions: turnover between 3% and 12%, a newly formed KDJ bullish crossover, and classification in the metaverse industry. The rationale is to avoid unusually inactive or excessively active shares, use the…
This document starts with an A-share selection idea based on metaverse-sector membership, a rounded price pattern, and a current low below the prior day's low. It then proposes a different, expanded screen: a rounded pattern, price above the 20-day moving…
This document outlines a proposed A-share screen that excludes Beijing-listed stocks, selects shares whose high-to-low amplitude exceeds 1%, and looks for a prior-day 9:15 matching price equal to the limit-down price. It frames the amplitude filter as a way…
This document describes a Chinese A-share screening rule that combines turnover, a recent limit-up event, and relative trading volume. Its stated criteria are turnover between 3% and 12%, at least one limit-up in the prior 25 days, and a volume ratio above…
This stock-selection method combines a positive MACD reading, upward expansion or alignment of short moving averages, and year-over-year growth in net profit attributable to parent-company shareholders between 20% and 100%. The intended logic mixes trend…
This technical stock screen looks for daily amplitude above 1%, a share price below 20, and no rising session over the previous seven trading days. The article interprets a run of declines as a possible sign that a stock is depressed and could rebound, while…
This proposed stock screen selects companies with turnover between 3% and 12%, a positive product of price change and net volume from very large orders, market capitalization below 10 billion yuan, and no reported loss. The article treats turnover as a…
This A-share screening rule combines four filters: daily amplitude above 1%, market capitalization below 10 billion yuan, positive trailing net profit, and a nonempty convertible-bond name. The accompanying discussion presents the profit and size filters as…
The screen selects stocks with turnover rates between 3% and 12%, a rising KDJ K value below 100, and a listing date earlier than a chosen cutoff. The KDJ condition is implemented by checking whether the current K value exceeds the prior value, while the…
This A-share screening rule selects stocks classified in the metaverse theme that appeared on the previous day’s trading leaderboard and whose previous-day closing price was above the 250-day moving average. The document outlines the conditions and gives…
The proposed screen selects Chinese stocks associated with the metaverse theme, requires circulating market capitalization above the stated threshold, and looks for large-order net volume above 0.05 for at least three consecutive days. The article interprets…
The post proposes screening Chinese stocks by price amplitude, calendar year, and shareholder concentration. Its stated rules require amplitude above 1%, observations from 2021, and a concentration measure between 20% and 70%. It interprets higher amplitude…
The document describes an A-share stock screen combining an RSI below 65, seven consecutive down sessions, and a daily return between -5% and 2.6%. It presents the rules as a way to find stocks that have weakened recently without showing a strong daily move,…
This post describes a Chinese stock screen using turnover between stated bounds, three consecutive declining closes, and a prior closing price above its 250-day moving average. It includes a technical-indicator formula and a Python example that queries daily…
This post describes a Chinese equity screening rule that selects stocks with a six-period RSI below a threshold, a share price below a stated ceiling, and a positive return over the recent ten-day interval that remains below an upper bound. It gives an…
This document describes a Chinese equity screen requiring daily turnover between 3% and 12%, year-over-year growth in net profit attributable to parent-company shareholders above 20% and no greater than 100%, and a positive return from the day’s open. It…
This document describes a Chinese equity screen combining daily turnover, listing age, price movement, and large-order net volume. It selects stocks with turnover between 3% and 12%, listed in 2021, whose daily return multiplied by a large-order net-volume…
The document describes a Chinese A-share screening strategy that combines daily turnover, the opening price relative to the 10-day moving average, robot-sector membership, and a circulating-market-value ceiling. Its stated criteria select stocks with…
The document describes a short-term stock screen that combines a daily price-range threshold, a closing price of 18.5 yuan, and a candlestick pattern labeled a morning star. It presents the conditions both as a formula-style filter and as an attempted Python…
This stock screen combines three conditions: at least five moving averages clustered together, a positive “morning star” signal, and a dividend payout ratio above 25% in 2019. The document describes moving average overlap as a sign of stable prices, the…
This stock screening idea combines two signals: rank stocks by capital flow strength, then identify those whose five week moving average crosses above the ten week moving average. The document frames the crossover as a sign of improving short term direction…
The post describes a Chinese A-share stock screen focused on the metaverse industry. It seeks shares that appeared on the prior day’s trading leaderboard and had a three-session consecutive limit-up streak. The stated rationale is to find stocks with strong…