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Dokumentu skaits: 12,226
This primer introduces stablecoin categories, then focuses on fiat-backed tokens and the factors users should weigh when assessing them. It discusses issuer governance and control, reserve transparency, the difference between attestations and independent…
This Chinese stock-screening note proposes selecting stocks in the metaverse industry that rank among the top five by the day’s auction amount, then keeping those with nonnegative afternoon large-order net money flow. It presents the screen as a way to…
This post proposes screening Chinese stocks in a metaverse category using opening-price behavior. Its written rule requires the 9:25 gain to be below 6% and the auction change to lie between -2% and 5%. It supplies formula and Python examples, and briefly…
This post describes a Chinese equity screening rule combining turnover, recent price movement, and the ten-day moving average. It selects stocks with turnover between 3% and 12%, three consecutive declining sessions, and an opening price near the ten-day…
The document presents a Chinese equity screening rule that selects stocks with RSI below 65 and more than two limit-up days in the prior ten days, while excluding the STAR Market. It frames RSI as a technical condition and recent limit-ups as a way to…
The article proposes a Chinese equity screen using three conditions: daily high-to-low range above 1%, a positive but less than 35% return over ten days, and circulating market capitalization above 10 billion yuan. It interprets the range as a volatility…
This document presents a daily pre-market stock screen combining three conditions: MACD above zero, positive trailing price-to-earnings ratio, and the 20-day moving average above the 120-day moving average. It frames these as a momentum and trend filter,…
The document presents a Chinese equity screening rule that combines three conditions: prior-day price amplitude above 1, appearance on the prior day’s top trading activity list, and a prior-day 9:15 matching price at the exchange limit-down level. It…
The document describes a stock screen for Chinese A-shares that selects stocks with turnover between 3% and 12%, excludes Beijing-listed shares, and requires the closing price to sit above the Bollinger middle band but below the upper band. It explains that…
This Chinese-language post outlines a stock selection screen for the Shenzhen main board. It combines a ranking by capital inflows, retaining the top 100 names, with valuation filters that require price-to-earnings ratios from 0 to 29.01 and price-to-book…
This Chinese-language post describes a stock screen combining three filters: membership in the metaverse theme, a previous-day closing price at or above the 250-day moving average, and positive net buying attributed to major participants during the auction.…
This post describes a stock screen requiring turnover between 3% and 12%, a positive gain over ten days below 35%, and three consecutive sessions in which each close is lower than the preceding close. The author frames the declining closes as a way to find…
The post proposes a Chinese equity screen combining an amplitude threshold, a rounded price pattern, and membership in beverage and alcohol import-export categories. Its accompanying explanation treats the amplitude condition as a way to find active stocks,…
This article proposes screening stocks using price amplitude, large-order net-volume ranking, and a turnover range. It interprets these as rough proxies for volatility, trading activity, and liquidity, respectively, with the aim of finding candidates for…
This proposed Chinese-equity screen combines three criteria: membership in the metaverse theme, a curved price pattern, and a stock code beginning with 60. The article sketches a Python workflow that obtains stock data, computes a custom measure from daily…
This Chinese A-share stock screen combines a minimum daily price range with unusually high, but bounded, trading volume and a low KDJ reading. The stated rules require the high-low range to exceed 1% of the low, volume to be between 1.5 and 6 times its…
This Chinese A-share screen combines moderate trading activity with evidence of recent momentum. It selects stocks with turnover between 3% and 12%, at least one limit-up event in the previous 25 days, and an opening price near the 10-day moving average. The…
This Chinese-language post describes an equity screen that selects stocks with a daily high-low range greater than one, positive institutional net flow, and circulating market capitalization above 10 billion yuan. Its rationale is to combine elevated price…
The post describes a China A-share screening rule that ranks stocks by volume ratio, keeps the top 100, filters for a daily decline between 4% and 5%, and requires the opening gain to be below 6%. It presents these conditions as a way to find stocks with…
This Chinese-language strategy description proposes screening stocks in the metaverse industry when the KDJ indicator has just formed a bullish crossover, while excluding the STAR Market. Its example implementation checks for the KDJ K line to move above the…
This stock selection rule combines three daily filters: turnover between 3% and 12%, the product of daily price change and large-order net flow above zero, and the closing price above its five-day moving average. A further code and exchange filter narrows…
This Chinese-market stock screen combines three filters: rank shares by volume ratio and keep the top 50, require at least two occurrences of consecutive one-price limit-up moves within 500 days, and require more than two consecutive limit-up days within a…
This Chinese-language post describes an equity screen combining three technical conditions: price amplitude above a threshold, the stock’s average price above its five-day moving average, and a newly formed KDJ golden cross. It presents the combination as a…
This Chinese-language note outlines an equity screen for stocks with amplitude above 1, an opening price near the 10-day moving average, and a short-term average turning upward relative to a longer average. Its example defines “near” as within five percent…