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.
12,226 documents
This note describes a stock screen combining three conditions: daily price range above a stated threshold, price above its five-day moving average, and first-level bid volume greater than ask volume. It presents these as signs of volatility, a stronger…
The post proposes a short-term screen for Chinese stocks using reported buying activity, prior-day turnover, and the number of limit-up sessions over the preceding ten days. It interprets stronger buying activity, active trading, and repeated limit-ups as…
This post describes a Chinese stock selection rule using three filters: turnover between 3% and 12%, seven consecutive daily declines, and company scale above 200 million. It provides example formula logic and Python-style selection code, then suggests that…
This stock-selection rule targets shares in the metaverse category whose latest return is positive and whose two-day rolling high matches the prior value of that rolling measure. The article frames the high-price condition as a way to find short-term…
This proposed stock-selection approach ranks shares by a measure of capital activity and favors those whose closing price is above the five-day moving average, with the historical screen restricted to 2021. The article describes turnover and trading volume…
This stock screen selects companies classified in the metaverse theme, with circulating market value above 10 billion yuan and at least one limit-up day in the preceding 25 trading days. The stated rationale is that a recent sharp price rise may identify…
This proposed Chinese stock screen excludes Beijing-listed stocks and selects for an intraday range above 1%, alongside a condition combining price change with net trading volume attributed to very large orders. The stated threshold for that combined measure…
This Chinese A-share screening proposal combines three conditions: an intraday range greater than one, return on equity above 15% in each of five consecutive years, and a stated daily maximum decline between 4% and 5%. The explanation interprets the range as…
This note describes a daily A-share selection rule using price amplitude of at least 1, turnover between 2% and 9%, and a ranking by today’s auction amount, with the top five stocks selected. Its stated aim is to combine a measure of price movement with…
This note proposes an A-share stock screen combining amplitude above 1, a nonempty outstanding convertible-bond name field, and an industry-related concentration condition. It describes ranking qualifying stocks by average daily trading value. The stated…
This note describes a short-term A-share screen combining price amplitude above 1, a rounded or arc-shaped price pattern, and first-level bid volume greater than ask volume. The stated rationale is that amplitude may indicate trading activity, the rounded…
This technical analysis note proposes measuring how closely two candlestick sequences resemble one another. It describes candles as summaries of open, high, low, and close prices over a chosen time period, then defines a similarity score as the average of…
This stock screen selects shares with a turnover ratio between 3% and 12%, a previous-day Dragon-Tiger List appearance, and previous-day trading value above 60 million yuan. The article presents these conditions as a way to find actively traded stocks that…
This stock-selection proposal screens main-board shares for a robotics theme, turnover between 3% and 12%, circulating market value below 10 billion yuan, and positive net buying attributed to large participants during the opening auction. The page also…
This post proposes screening stocks by daily price amplitude, relative trading volume, and the alignment of several moving averages. Its stated conditions are amplitude of at least 1%, a volume ratio between 1.5 and 6, and a requirement that the close remain…
This post outlines a Chinese stock-selection screen that pairs seven consecutive down days with a shrinking negative MACD histogram on a 15-minute chart and a reported increase in holdings above 5%. The setup looks for possible short-term rebounds after…
This Chinese-language post describes a short-term stock screen using three conditions: a shrinking MACD histogram on a 15-minute chart, a price below 12, and a reported increase in holdings above 5%. It interprets the inflow measure as possible buying…
This post proposes a short-term stock screen combining volatility, share float, and the opening price's proximity to a 10-day moving average. It selects stocks with amplitude above 1, a circulating share count no greater than 5.5 billion, and an opening…
This post describes a stock selection screen using four conditions: amplitude above 1, current trading volume above 10,000 lots, a higher opening price, and company size above 200 million. The rationale combines price movement and trading activity with a…
This post presents a Chinese equity screening rule based on price range, listing history, and a measure labeled the ratio of external to internal trading volume. It selects stocks with amplitude above 1, more than one year since listing, and an…
This Chinese-language post proposes a stock screen for companies classified in the metaverse theme. It ranks candidates by the day’s auction amount, keeps the top five, and requires the high–low range to exceed one percent of the previous close. The author…
The document proposes a Chinese equity screen for the metaverse industry. It combines stocks ranked among the top five by current-day auction turnover with a prior-session condition described as the 9:15 matched price being at the daily limit down. It gives…
This article describes an application of autoregressive models to financial time series, using CSI 300 prices and returns as the study data. It presents the topic as a walkthrough of the modeling process, covering fitting and forecasting with an AR model.…
This stock-screening approach ranks securities using trading activity reported in China’s Dragon-Tiger List, ordering names by buy and sell amounts to identify stocks attracting substantial market attention. The post presents a simple data-processing example…