নলেজ লাইব্রেরি

This Chinese stock-selection proposal combines three filters: RSI below 65, a positive relationship between percentage price change and net buying by very large orders, and a weekly close crossing above its 30-week moving average. The intended effect is to…

This Chinese equity screen first filters for robot-related stocks with circulating market capitalization below 10 billion yuan and turnover between 3% and 12%. It then applies a 15-minute MACD condition intended to identify a shortening negative histogram,…

This Chinese stock-screening idea combines a metaverse-sector filter with a long-term price trend condition and a MACD signal. It selects metaverse stocks whose price is above the 250-day moving average and whose DEA is rising. The document presents the…

This Chinese-language post presents a stock screen limited to the metaverse sector. It requires the closing price to be above its five-day moving average and applies two prior-day comparisons among the five-, ten-, and twenty-day averages. The post describes…

This Chinese-language post describes a stock selection screen combining a 14-period RSI below 65, three consecutive down candles, and an arc-shaped price pattern. It frames the candle sequence and RSI filter as signals of short-term weakness, while…

This Chinese-market stock selection approach combines several daily filters: RSI below 65, a gain above 1%, and a positive day-over-day change in the KDJ indicator’s K value. It further focuses on main-board listings and describes controls involving…

This note presents an equity screen for stocks associated with the metaverse theme. It requires the prior day’s price to be above the 250-day moving average and institutional flow to be positive. The article frames the theme as a way to select stocks in a…

This note describes an equity screen that combines a 3%–12% turnover range, an engulfing-style reversal condition, and a rising DEA value from the MACD indicator. Its stated selection logic ranks qualifying stocks by market capitalization. The article also…

The document proposes a stock screen that combines membership in the metaverse sector, a rounded price pattern, and exclusion of Beijing-listed A shares. It suggests that the pattern must be defined by the user and illustrates a custom range-based indicator…

This stock selection proposal combines a technical trend filter with a historical revenue comparison. It seeks shares with at least five overlapping moving averages, a 20-day moving average above the 120-day moving average, and 2021 revenue more than 1.1…

This Chinese stock screening proposal combines three filters: daily price amplitude above one, a stock having had three consecutive limit-up sessions the previous day, and a 2019 dividend payout ratio above 25%. The discussion frames amplitude and the recent…

This stock-selection rule combines an RSI below 65, a condition labeled as the start of a strong upward move, and a rising 30-day moving average. The article’s formula defines the upward-move condition by requiring the 30-day highest high and lowest low to…

This screening idea looks for stocks in the metaverse theme whose previous closing price is above the 250-day moving average and whose previous-day opening-auction turnover rate exceeds the stated threshold. The long moving average is intended to identify…

This stock-screening approach combines three signals: membership in the metaverse theme, positive net buying by major participants during the opening auction, and evidence of institutional accumulation. The article describes these as ways to target a popular…

This post proposes a stock screen combining three conditions: a price range threshold for daily amplitude, the closing price above its five-day moving average, and simultaneous upward crossovers among the ten-, twenty-, and thirty-day moving averages. It…

This proposed A-share screen selects stocks with turnover between 3% and 12%, at least one limit-up event in the preceding 25 days, and a weekly close crossing above the 30-week moving average. The intended rationale is to combine trading activity, a recent…

This document outlines a Chinese stock screen seeking shares with amplitude above 1, no limit-up session on the prior day, and three consecutive down days. The proposed idea is that a recent run of losses may create a rebound opportunity, with price…

This proposed stock screen looks for companies with market capitalization below 10 billion yuan and no losses, alongside a reported increase in buying interest above 5% and a maximum daily decline between 4% and 5%. The rationale is that buying activity may…

This document describes an A-share stock screen that selects companies with RSI below 65 and 2021 revenue more than 1.1 times 2018 revenue, then ranks them by a measure of stock popularity. It presents the combination as a way to mix a short-term technical…

This Chinese equities strategy builds a daily candidate list from the 300 smallest eligible stocks by market capitalization, excluding special-treatment and suspended shares. It selects up to seven targets when a stock opens below the previous day’s low,…

This document presents a stock screen for companies associated with the metaverse theme. It requires the prior day's actual turnover rate to fall between stated lower and upper bounds and the MACD DEA line to be rising. The rationale offered is that turnover…

This document outlines a Chinese equity screening idea that combines a price-amplitude threshold, an upward arrangement of moving-average conditions, and simultaneous bullish readings from three technical indicators. The described signals involve MACD, a…

This document presents a simple stock screen that selects shares with a daily high-low range above 1%, a price below 20, and a closing price below 12. It provides a formula and a Python sketch; the Python version also sorts selected stocks by trading volume.…

The document describes a short-term A-share screening idea: limit candidates to stocks with turnover between 3% and 12%, market capitalization below 10 billion yuan, and no reported losses, then rank them by net large-order activity. It gives a…