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.
12,140 documents
This stock screen combines daily price amplitude, weekly MACD position, and recent limit-up activity. It selects equities with amplitude above 1%, a weekly MACD reading above zero, and at least two limit-up days in the past ten days. The accompanying…
This Chinese-language post outlines a stock selection screen based on recent price movement, trading activity, and a long-term trend filter. It selects shares with amplitude above 1, a product of prior-day turnover and the ratio of current auction volume to…
This A-share screen targets metaverse-industry stocks with a newly formed KDJ bullish crossover, excludes ST-designated names, and requires five limit-up events over a five-day window. It is intended to run before 10:00 on each trading day for same-day…
This A-share screening idea selects stocks assigned to the metaverse industry that appeared on the Dragon-Tiger trading activity list the previous day and have a current-day price increase greater than 21% relative to the prior close. The article describes…
This A-share screening rule combines three conditions: a MACD signal above or crossing the zero axis, a recent high that is the highest across a two-day window, and a pre-market gain below 6% as measured around 9:25. The document provides an indicator…
This Chinese A-share screening idea focuses on stocks classified in the metaverse industry. It selects names that had at least one limit-up event in the prior 25 days and whose 20-day moving average is above the 120-day average, using the longer average as a…
The document proposes a Chinese stock screen that combines a reported daily buying-activity share above 5%, a weekly close crossing above its 30-week moving average, and a shortening MACD histogram on a 15-minute chart. The signals are intended to pair…
The document describes a Chinese equity screen combining daily price amplitude above 1%, a freely traded share count no greater than 5.5 billion, and weekly MACD above zero. It presents these filters as a way to find relatively volatile small-cap stocks with…
This screening approach targets main-board stocks associated with the robotics concept. It requires turnover between 3% and 12%, a circulating market value below 10 billion yuan, and a daily gain below 2.6% but above −5%. The article presents the combination…
This stock-selection method ranks shares by large-order net volume, then looks for positive readings above 0.05 across at least three consecutive days. It also requires the 20-day moving average to be above the 120-day moving average, combining a measure of…
This post describes a Chinese equity screen for stocks in a metaverse industry category. It requires the opening price to be less than 6% above the previous close and at least one session in the prior 25 days when the high exceeded the previous high by more…
The document describes a directional momentum indicator based on counting fair value gaps (FVGs) within a selected window. It tracks the total number of gaps associated with uptrends and the total associated with downtrends, including both filled and…
The document describes a daily stock screen for companies classified in a metaverse-related sector. It selects stocks with a positive daily return, a price change below 2.6% and above -5%, and a price-to-earnings ratio below 30. It gives both a combined…
The document proposes an equity screen requiring turnover between 3% and 12%, a positive product of the day's price change and net large-order flow, and a rising DEA indicator. It frames the turnover band as a participation filter, the signed price-flow…
The document describes a stock screen combining daily amplitude above 1, a price below 20, and a positive change in the KDJ K value. It presents the KDJ increase as a way to identify upward price momentum, then recommends checking it alongside other…
This brief indicator note describes a QQE variant that applies RSI to a moving average rather than to price directly. It says this change produces results that differ substantially from conventional QQE and presents the modified indicator directly overlaid…
This proposed A-share screen targets main-board stocks associated with robotics. Its stated criteria are turnover between 3% and 12% and circulating market value between 5 billion and 10 billion yuan. A sample indicator expression also requires the closing…
This Chinese equity selection note describes a three-part screen: daily high-low range above a stated threshold, a reversal pattern, and price above its five-day moving average. It frames the moving-average condition as a way to favor stocks in an upward…
This note proposes screening Chinese equities for three conditions: membership in the metaverse industry, a rounded price pattern, and a reversal or engulfing-style signal. It suggests the combination may identify active stocks in strong market themes with…
This short-term stock selection rule looks for equities with a daily price range above 1, a rising and spreading set of moving averages, and positive net buying by large participants during the opening auction. The stated rationale is to find shares showing…
This stock-selection strategy ranks shares using large-order net inflow and relative price performance. Its stated purchase screen looks at the prior 30 trading days, selecting stocks whose net inflow share from very large orders is among the top 5% of the…
This post presents a stock screen that combines a short-term trend condition with recent buying activity. It selects stocks whose 20-day moving average is above the 120-day average, whose prior session did not close at the daily price limit, and whose…
This post proposes an A-share stock screen that combines trading activity, reported earnings growth, and short-term order flow. It selects stocks with turnover between 3% and 12%, parent-company net profit growth between 20% and 100%, and large-order net…
TRIX is described as an oscillator based on exponential averaging that can help identify potentially overbought or oversold conditions and can also serve as a momentum indicator. This variant replaces the regular EMA calculation with a double-smoothed Wilder…