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.
22,592 documents
The proposed screen ranks stocks by trading volume or capital strength and filters for companies with market capitalization below the stated ceiling, no losses, and a pre-open gain below the stated threshold. The article presents these conditions as a way to…
This stock screen combines three conditions: prior-day appearance on an exchange top-trading list, a stated price amplitude threshold, and positive large-order net inflow during the current afternoon. The article presents the combination as a way to find…
This Chinese-language post proposes screening stocks using three conditions: intraday amplitude above a threshold, a high dividend measure for 2019, and a product involving the day's price change and large-order net activity above a threshold. It frames the…
This stock screen targets companies classified in the metaverse theme that appeared on the prior day’s trading leaderboard and whose short-term moving averages are ordered upward. The stated formula compares the 5-, 10-, and 20-day simple moving averages,…
The custom NHNL_Divergence indicator plots a high-low index line in a separate pane and marks detected divergences both there and on the price chart. It is based on the NHNL indicator, which tracks new highs and new lows, and is intended to make divergence…
This note describes a proposed rebound-oriented stock screen based on a large intraday range, at least one strong daily rise within the past 25 trading sessions, and seven consecutive declining sessions. The rationale is to find volatile shares that have…
This note proposes screening stocks associated with the metaverse theme using a rounded-bottom chart pattern and a positive weekly candlestick signal. Its expanded version adds a KDJ condition, a weekly moving-average crossover, a MACD signal, and a measure…
This note outlines a China A-share screening idea that combines a metaverse theme classification with positive net buying by major participants during the opening auction and a positive institutional-flow indicator. The intended rationale is to combine a…
This note describes a mainland China stock screen that selects main-board shares with turnover between 3% and 12%, circulating market value between 5 billion and 10 billion yuan, and positive, increasing afternoon net active buying. It presents the…
This stock selection method combines a prior bar’s percentage amplitude, the number of freely traded shares, and the current close’s position within its high-low range. The stated filters are amplitude above 1, float no greater than 5.5 billion shares, and…
The document presents a daily, after-close stock-selection rule combining three signals: price amplitude above a threshold, institutional participation above a threshold, and a high ranking by stock attention. It frames amplitude as a measure of price…
The document surveys a platform’s patent database and describes how patent characteristics are turned into equity-selection factors. It groups patent information by patent type, application or grant status, and measures such as counts, claims, citations,…
The document describes a stock screen requiring turnover between 3% and 12%, a listing year of 2021, and a positive return. It presents these conditions as a basic selection rule and includes example implementations for screening stocks. The approach…
This post describes a China equity screen that keeps stocks with turnover between 3% and 12%, an opening price within roughly 5% of the 10-day moving average of closing prices, and a high ranking by the day’s auction amount. The example implementation…
This post presents a China equity screening rule combining a turnover-rate band of 3% to 12%, outside volume greater than 1.3 times inside volume, and a rise of more than 5% in the stated close-position ratio. Its example formulas add a minimum volume…
This research summary examines ways to improve equity momentum signals in China’s A-share market, where the authors report that reversal has historically been stronger than momentum. It compares conventional momentum with four adaptations: using moving…
This document presents a stock screen combining three conditions: amplitude above 1, a shrinking negative MACD histogram on a 15-minute interval, and a close above the previous day's low. The rationale is that a large range identifies active stocks, a…
The document describes a Chinese A-share screening approach that selects stocks with RSI below 65 and an external-to-internal trading volume ratio above 1.3. It frames the screen around 2021 data and adds a current-price filter that excludes stocks whose…
The article compares decade-scale changes in six major equity indices and argues that long-run wealth accumulation depends on the balance between advances and declines, rather than on the count of up and down sessions. It describes a pattern of relatively…
This configuration defines a Qlib workflow for ranking CSI 500 equities with a LightGBM model and Alpha360 features. It uses cross-sectional rank normalization for labels and trains on data from 2008 through 2014, validates on 2015–2016, and evaluates a…
This Chinese-language strategy note proposes screening equities with a 14-period RSI below 65, parent-attributable net profit growth between 20% and 100%, and a reversal pattern described as a “wraparound” stock. It frames the setup as a way to find…
This note describes a short-term screen for main-board stocks that combines intraday range, prior-day actual turnover, and a positive move on the current day. The stated criteria are an amplitude above 1, turnover between 3% and 28%, and a daily gain above…
This note describes selecting A-share stocks by prior-day trading value above 60 million yuan and references a 2021 stock universe. Its later, expanded rule set adds market capitalization above 10 billion yuan, price-to-earnings below 20, and indicators…
This note outlines a daily A-share screen that looks for MACD above zero, a share price below 12 yuan, and turnover between 2% and 9%. The accompanying formula also compares recent turnover readings, while the explanatory text presents turnover as a way to…