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 selects shares whose daily high-low range exceeds one, whose prior-day actual turnover is between 3% and 28%, and whose opening price is near the ten-day moving average. The article frames the range and turnover filters as ways to focus on…
This post proposes screening A-shares for turnover between 3% and 12%, a positive gain over ten days that remains below 35%, and no limit-up close on the previous day. The author characterizes the method as a momentum-oriented screen and cautions that…
This post presents an A-share screening idea that combines a price-range threshold, a rising short-term moving-average condition, and a circulating market capitalization between 5 and 10 billion yuan. The stated rationale is to find mid-sized companies with…
The screen targets Chinese-listed stocks categorized in the metaverse theme, excludes special-treatment shares, and requires price to be above its five-day moving average. It is intended to run before 10 a.m. and adds a short-term pattern described as a…
The document describes a stock screen requiring turnover between 3% and 12%, an external-to-internal trading volume ratio above 1.3, and inclusion on the prior day’s Dragon and Tiger List, a record of stocks attracting notable market attention. The turnover…
This stock selection approach screens for securities with an RSI below 65, a stated circulating market capitalization range of 5 to 10 billion yuan, and at least seven consecutive declining sessions. It combines a momentum oscillator, company size, and…
This Chinese equity screen combines a daily amplitude filter with robotics-sector membership, a circulating market capitalization below 10 billion yuan, and at least two limit-up sessions during the previous 500 days. The rationale is to find smaller…
The article outlines an equity screen combining price amplitude above a stated threshold, rising lows as a sign of an improving base, and a ranking by stock or industry attention. It includes example formula logic and Python-like pseudocode, with the latter…
This stock-selection method screens companies in the metaverse industry using three simultaneous bullish crossovers: MACD above its signal line, the 5-day moving average above the 10-day average, and the 5-day average above the 20-day average. It also…
This Chinese equity screen selects companies in the beverage and alcohol import-export industry when turnover falls within a specified band and the opening price is near the ten-day moving average of closing prices. The post describes the approach as…
This note describes a stock screen that combines technical conditions with a basic growth measure. It proposes selecting stocks with at least five aligned moving averages, ranking them by net large-order volume, and retaining those whose revenue in 2021 was…
This assignment turns a discretionary idea—finding concentrated holdings in recent hot industries—into a proposed equity research process. It suggests first identifying strong sectors with a sector momentum factor, then ranking stocks within those sectors…
This Chinese equity screening proposal combines a daily amplitude threshold above 1, a top-five rank by the day’s auction amount, and a closing price above its five-day moving average. It interprets large amplitude and strong auction activity as signs of…
This article explains industry rotation in China’s A-share market, describing how economic cycles, policy, fundamentals, and herding can cause leadership to shift across sectors. It outlines a momentum approach that ranks industry indexes by weighted returns…
This expert advisor uses an unconventional MACD approach: it calculates the area of the indicator above and below its zero line over a user-selected number of bars. A reverse-signal option determines whether the resulting signal opens a buy or sell position.…
This stock-selection method screens for companies listed in 2021, with turnover between 3% and 12%, and a price shape described as rounded over the previous 20 days. The article frames turnover and listing year as basic filters, then adds a recent…
This post describes a Chinese-equity screening rule that combines membership in the metaverse theme with positive net buying attributed to major participants during the opening auction. It further limits candidates to Shenzhen main-board stocks using…
This Chinese-language article describes a mainland China stock screen combining technical and fundamental filters. It selects main-board shares with RSI below 65, a daily gain above 1%, market capitalization below 10 billion yuan, and positive net profit.…
This Chinese equity screening proposal combines trading activity with a past-event filter. It ranks stocks by volume ratio and selects the top 100, treating a higher ratio as a sign of stronger investor attention or fund activity. It also requires stocks to…
This swing strategy looks for alignment among three stochastic measures with short, medium, and longer lookbacks. It enters long when the measures are ordered upward and their relative spread exceeds a threshold, provided either shorter-cycle momentum is…
This stock selection rule combines four daily conditions: price range relative to the close, at least two limit-up moves within a rolling 500-day window, current volume above 10,000 lots, and an opening price above the prior close. The document describes…
This post describes a stock screen combining daily price amplitude above 1, positive institutional money flow, and a 10-day return greater than zero but below 35%. Its example indicator logic aggregates positive net institutional flow across five periods,…
This post outlines a Chinese A-share screening rule using three conditions: current trading volume above 10,000 lots, an opening price above the prior close, and a positive 10-day return below 35%. It presents the volume condition as a proxy for stronger…
This stock selection idea combines membership in the metaverse concept group with two technical conditions: the close is above the prior day’s low, and the KDJ indicator has just produced a bullish K-over-D cross while its J value is rising. The document…