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
This stock-screening method selects companies classified in the metaverse theme when their closing price is above the five-day moving average and a Morning Star candlestick signal is present. The article describes the pattern as a way to identify short-term…
This post describes a simple Chinese equity screen that selects stocks classified in the metaverse industry, with a positive return condition and a stock code beginning with 60. The return test is expressed as the latest close exceeding the previous close,…
This Chinese-language post outlines an equity screen for robot-concept stocks. It combines a daily high-low amplitude threshold, a circulating market capitalization below 10 billion yuan, and a condition described as the start of a strong upward move. The…
This Chinese stock-selection example filters for shares with turnover between 3% and 12%, membership in a beverage and alcohol import-export sector, and a 14-period RSI below 65. The article frames the sector condition as an industry constraint and the RSI…
FactorVAE is described as a probabilistic dynamic factor model that applies a variational autoencoder to noisy market data to forecast cross-sectional stock returns. In training, an encoder-decoder uses future returns to identify posterior factors that…
FactorVAE is presented as a probabilistic dynamic factor model that uses a variational autoencoder to extract latent factors from noisy market observations and forecast cross-sectional stock returns. During training, an encoder and decoder use realized…
This stock screen selects Chinese equities with an intraday amplitude above 1, a listing history longer than one year, and combined large and extra-large buy volume during the auction above 7 million. The article interprets the buy-volume condition as a sign…
This proposed equity screen combines a positive intraday buying or position-building measure, simultaneous bullish crossovers in technical indicators, and a cap on the stock’s pre-open percentage gain. Its refined version adds a high-volume ranking and…
This proposed stock screen combines a daily price-range threshold, three consecutive prior limit-up sessions, and an indication of large-player control. The article frames these conditions as ways to find active stocks with strong buying interest. Its sample…
This document outlines a stock screen using three conditions: RSI below 65, displayed buy-side volume greater than sell-side volume, and company size above 200 million. It presents the combination as a short-term selection approach, interpreting RSI as a…
This document describes a Chinese A-share screening rule that selects stocks classified in the metaverse sector, with an opening price less than 6% above the previous close and a positive daily MACD reading. It presents the rule as a way to combine a sector…
This note describes a Chinese equity screen that combines a Metaverse industry filter, a rounded price pattern, and a condition that the current high equals the maximum high over the current and prior two sessions. Its example formula checks that recent-high…
This proposed Chinese equity screen combines three filters: a five-period amplitude measure above one, a change greater than 0.05 in institutional participation between today and the prior day, and a floating market value of at least 10 billion yuan. It is…
This Chinese-language strategy note proposes screening equities with turnover between 3% and 12%, seven consecutive declining sessions, and a shareholder concentration measure between 20% and 70%. It provides example expressions for a charting platform and a…
This note describes a Chinese equity screen requiring turnover within a stated range, three consecutive declining sessions, and a 2019 dividend ratio above a specified threshold. It combines a trading-activity filter with a short-term price pattern and a…
This note proposes a Chinese equity screen using three conditions: price amplitude above a threshold, a stock code beginning with 60, and large or extra-large buy orders during the opening auction exceeding a stated combined-volume threshold. It frames the…
This note describes a Chinese equity screen combining prior-day price range, appearance on the Dragon-Tiger List, and a condition labeled as main-force control. Its stated rationale is that a larger range may signal trading opportunity, list appearance may…
This note outlines an equity screen requiring RSI below 65, exclusion of a designated Chinese market board, and a 15-minute MACD histogram condition intended to identify shrinking negative momentum. The rationale is that shortening negative bars may indicate…
This note describes a Chinese equity screening rule combining a 14-period RSI below 65, greater buy-side than sell-side volume, and a volume ratio between 1.5 and 6. It presents the rule as a way to find stocks with a relatively favorable technical reading…
This introductory article explains Matplotlib’s role in Python data visualization and outlines the Figure and Axes objects, along with its state-based pyplot and object-oriented interfaces. It notes that the library supports chart types such as lines,…
This post proposes a stock screen combining daily price range, relative trading volume, and a newly formed KDJ golden cross. Its explanation frames the range condition as a way to find more volatile stocks, while a bounded volume ratio is intended to select…
This Chinese stock-selection post describes a screen based on a turnover range, a 2021 listing date, and positive prior-day auction turnover. The prose explains auction turnover as a rough gauge of activity and a possible aid to identifying near-term trading…
The document describes a three-condition stock screen: a daily increase in reported position share above 5%, a weekly price crossover above the 30-week moving average, and a 2019 dividend ratio above 25%. It explains these conditions as a combination of…
This Chinese-language post describes a stock screen that requires MACD to be above its zero line, DEA to be rising, and the 20-day moving average to exceed the 120-day average. It presents the conditions as a way to identify stocks with positive momentum and…