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The post describes a Chinese stock-selection screen based on daily amplitude above 1, a turnover-based measure between 0.5 and 2 that combines the prior day's turnover with the current auction volume relative to the prior day's volume, and a stated price…
This Chinese-language post describes an equity screen combining three conditions: price amplitude above a threshold, a dividend payout ratio above a threshold for 2019, and a MACD value below zero two trading days earlier. The rationale is to combine a…
This post outlines a Chinese stock screen using a 2019 dividend-ratio threshold above 25%, an RSI below 65, and a rule excluding stocks that hit the daily price limit on the prior day. Its stated final selection logic adds price-to-earnings below 50 and…
This post describes a Chinese equity screen combining three filters: market capitalization below 10 billion yuan, no loss history, and a high ranking on large-order net flow or capital strength. The proposed rationale is that smaller profitable companies…
This A-share screen looks for stocks with daily price amplitude above 1%, a volume ratio between 1.5 and 6, and at least one daily gain of 10% or more during the preceding 25 trading days. The stated logic seeks active but not extreme trading and recent…
This proposed A-share screen combines capital-strength ranking, the five stocks with the highest auction amount for the day, and a dividend ratio above 25% in 2019. Its expanded final logic adds price-to-earnings below 30, price-to-book above 1, a bullish…
This A-share stock screen combines a relative strength index below 65 with an external-to-internal trade volume ratio above 1.3 and a positive institutional-flow measure. It presents the indicators as a way to combine a technical condition with trading…
This note describes an A-share stock screen that first requires price amplitude above a threshold and at least three years since listing, then ranks eligible stocks by capital strength. Its stated final version selects the top half and proposes combining the…
This Chinese stock-selection proposal screens for turnover between the stated bounds and greater displayed buying volume than selling volume at the best quote. It then looks for a positive price change during the auction and aggregate buying by large and…
This Chinese stock screening proposal combines daily price movement with a short-term trend filter. It seeks stocks whose amplitude exceeds a stated threshold, whose close is above the prior five-period moving average and whose moving average is rising, and…
The document introduces neural networks as a machine learning approach for quantitative stock selection and says they are applied to predicting whether stock prices will rise or fall. It briefly describes a neural network as interconnected adaptive units…
This post outlines a Chinese A-share screen using turnover between 3% and 12%, at least one limit-up event in the prior 25 days, and a revenue comparison requiring 2021 revenue to exceed 2018 revenue by more than ten percent. It also describes ranking…
This post describes a Chinese A-share screening rule that combines daily price range with a fresh KDJ crossover and excludes Beijing-listed stocks. The range filter looks for movement greater than one percent, while the KDJ condition requires the J line to…
The screen selects equities with turnover between 3% and 12%, a flag indicating appearance on the prior day’s trading leaderboard, and a volume ratio above 1.5 but below 6. It is presented as a way to find active stocks with potentially notable price action.…
This A-share stock screen combines daily price range, relative trading volume, and recent limit-up activity. It selects stocks whose high-to-low range is at least 1% of the low, whose volume is between 1.5 and 6 times its five-day average, and whose recent…
The proposed screen selects Shanghai-listed stocks whose turnover lies between 3% and 12%, then ranks or filters them for a strong increase in the K value of the KDJ stochastic indicator. The accompanying Python example retrieves listed stock data and daily…
The document proposes a Chinese equity screen combining metaverse industry membership, a rounded price pattern, market capitalization below a stated ceiling, and positive return on equity as a proxy for avoiding loss-making companies. It frames the…
The document describes a Chinese equity screening rule that selects stocks with turnover between 3% and 12%, a newly formed KDJ golden cross, and a concentration measure below 20%. Its explanation presents turnover as a liquidity filter, the KDJ crossover as…
The document outlines a Chinese equity screen combining a high 2019 dividend payout ratio, a recent increase in holdings, and a requirement that the previous session was not limit-up. It later adds price-to-earnings and price-to-book thresholds and a minimum…
The proposed Chinese equity screen selects stocks with RSI below 65, circulating market capitalization between 5 billion and 10 billion yuan, and price above the five-day moving average. The accompanying Python example excludes stocks marked ST, calculates a…
This post presents a Chinese stock selection rule combining turnover, displayed order-book quantities, and prior-day price-limit behavior. It keeps stocks with turnover between 3% and 12%, where first-level buy quantity exceeds first-level sell quantity, and…
This Chinese-language post describes a stock screen that selects companies in the metaverse theme, requires the prior close to be above a 250-day moving average, and filters for a daily return between -5% and 2.6%. It includes a brief explanation of the…
This post describes a Chinese equity screen combining three conditions: daily amplitude above a threshold, a weekly five-period moving average crossing above the ten-period average, and ranking by the day’s opening auction value. It proposes selecting the…
This stock-selection example screens within the metaverse theme for shares that had a limit-up event during the prior twenty-five days and were marked as controlled by major funds on the previous day. The article presents these conditions as a way to find…