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12,226 dokumen
This stock-selection approach combines three technical filters: price amplitude above 1, the 9:25 price rise below 6%, and a 30-day moving average that is higher than the previous day’s. The accompanying explanation presents the rising average as a way to…
The document describes a technical stock screen that combines daily price range, large-order net volume ranking, and a rising-bottom or low-price condition. It frames range and order-flow measures as ways to find active shares, while a sequence of higher…
The post describes a proposed A-share stock screen using a turnover-rate range of 3%–12%, market capitalization below 10 billion yuan, and a profitability filter. It then adds a Bollinger Band condition, along with example formula and Python references. The…
This Chinese equity screening proposal combines three ideas: select stocks with more than two limit-up sessions in the past ten days, constrain turnover to the interval above 2% and below 9%, and rank candidates by a measure of fund strength. The post…
This document describes a Chinese equity screening rule that combines a positive MACD reading, positive price-to-earnings ratio, and an upward-trending 30-day moving average. It interprets the MACD and moving average conditions as signs of upward momentum,…
This proposed screen targets Shenzhen main-board stocks with turnover between 3% and 12%, positive product of the day’s price change and large-order net flow, price-to-earnings ratios from 0 to 29.01, and price-to-book ratios from 0 to 3.11. The article…
This proposed Chinese equity screen selects stocks whose daily range exceeds 1%, that had at least one limit-up day in the prior 25 days, and that appeared on the previous day’s Dragon-Tiger List. The article interprets these conditions as signals of higher…
This stock-selection example screens Chinese equities using a turnover range, year-over-year net profit growth, and the prior day’s trading value. It then ranks qualifying stocks by institutional ownership and selects the highest-ranked names. The rationale…
This document describes a Chinese-equity screen combining three conditions: membership in the metaverse theme, circulating market capitalization above 10 billion yuan, and a prior session that did not close at the daily limit. It also provides example…
This stock-selection idea filters for shares with prior-day turnover above 60 million and a price gain at 9:25 below 6%, then orders candidates by descending capital strength, described in the post as favoring larger transaction amounts. The post frames the…
The post raises a portfolio accounting issue that can affect automated sell rules. After a cash dividend or share distribution, the stock price may adjust downward while a trading program still compares it with the pre-event holding cost. That mismatch can…
This post proposes a Chinese stock screen combining three conditions: today's increase in holdings as a share of the stock above 5%, evidence of main-player control on the prior day, and an upward 30-day average. The post interprets the buying-flow measure…
This note outlines a daily, end-of-session stock screen that requires MACD to be above zero and an institutional-flow measure to be positive, then ranks qualifying stocks by popularity. It explains MACD as a short-term trend indicator and institutional flow…
This note describes a daily stock screen combining prior-day price amplitude, appearance on the Dragon Tiger List, and trading turnover above a stated threshold. The rationale is that larger price swings may signal opportunity, Dragon Tiger List activity may…
This stock-selection screen combines a moving-average cluster with recent price strength. It looks for shares with at least five moving averages converging and more than two limit-up sessions within a ten-day window, with the stated screen restricted to…
This Chinese equity selection method filters for daily price amplitude above 1, a product of yesterday’s turnover rate and the ratio of today’s opening auction volume to yesterday’s volume between 0.5 and 2, and a positive daily MACD value. The stated intent…
This Chinese equity screening idea combines a relative strength index below 65, a condition involving daily price change multiplied by net large-order volume, and a positive 10-day return capped below 35%. The accompanying example expresses the order-flow…
This A-share stock-selection proposal combines price amplitude above 1, the presence of an outstanding convertible bond, auction-period price gains associated with large buy orders, and a combined large and extra-large buy volume threshold of more than 0.7…
This A-share screening proposal combines three signals: at least five moving averages converging, weekly MACD above its zero line, and a shrinking negative MACD histogram on a 15-minute chart. The post interprets these as evidence of stable short- and…
This document describes a short-term A-share stock screen combining price movement, a candlestick pattern, and trading activity. It looks for amplitude above 1, a condition labeled as a Kute Intelligent morning star, and a range for yesterday’s turnover rate…
This Chinese equity screen looks for stocks with turnover between 3% and 12% and at least one limit-up event in both the prior 25-day window and the past month. It treats moderate trading activity as a sign of liquidity and recent limit-up moves as…
This stock-selection idea filters for equities with a positive return over the prior ten days, excludes returns above the stated upper threshold, and ranks the remaining names by capital strength. The article also specifies a 2021 listing-year condition,…
This article presents a technical stock screen for Chinese equities. Its stated conditions are an amplitude above 1, a measure formed from the previous day's turnover and the ratio of current auction volume to previous volume within a specified band, and a…
This article outlines an A-share stock screen that combines daily trading activity and company fundamentals. It selects stocks with turnover between 3% and 12%, market capitalization below 10 billion yuan, and no losses, then ranks candidates using revenue…