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 article outlines a Chinese stock screen targeting the metaverse sector. It limits the share float, looks for positive large and extra-large buy orders during the opening auction, and requires an upward trend. The suggested trend check uses MACD, while…
This article describes an intraday Chinese stock screen based on four conditions: price amplitude above a threshold, current volume above a stated level, a higher opening price, and a gain below a cap at 9:25. The idea is to focus on stocks showing price…
This document presents a simple Chinese stock screening rule: find shares with price amplitude above a stated threshold and an indication of main-force control on the previous day, then exclude shares that hit the daily limit-up on that day. The stated…
This research summary examines analyst recoverage: the first new recommendation after an analyst or brokerage has stopped covering a stock for at least six months. It compares recoverage with initial coverage and ordinary rating changes, using U.S. analyst…
This post outlines a Chinese equity screen combining high intraday amplitude, a prior-session opening auction price at the limit down level, and positive net buying attributed to large traders during the current auction. It then adds an upward-sloping 60-day…
The document describes a beginner’s question about passing results from earlier BigQuant modules into a backtest. The proposed strategy uses a fixed universe of ten stocks, ranks them daily by five-day return in ascending order, buys the five lowest-ranked…
This post describes a daily stock screen for shares with turnover between 3% and 12%, greater displayed quantity at the best bid than at the best ask, and a 2021 listing year. It interprets the turnover band as a sign of trading activity and the…
This Chinese equities screen selects stocks with turnover between 3% and 12%, circulating share capital no greater than 5.5 billion shares, and at least two limit-up sessions in a rolling 500-day window. The stated idea is to combine trading activity and a…
The proposed Chinese stock screen combines three filters: prior-bar price amplitude above 1%, a MACD signal above the zero line, and circulating market capitalization above 10 billion yuan. The stated rationale is to find shares with meaningful price…
This Chinese equity screening proposal combines three conditions: turnover between 3% and 12%, three consecutive declining closes, and a rising DEA line from MACD. The stated rationale is to look for stocks with potential upside after a short run of losses,…
This stock-selection note combines three filters: an average daily range above 1, a 2019 dividend payout ratio above 25%, and a same-day control measure above 21%. It presents the control measure as an indication of concentrated trading influence or…
This note outlines a Chinese A-share screening idea combining three price-based conditions: at least five moving averages converging, at least two limit-up sessions in the previous 500 days, and the 20-day moving average above the 120-day average. It…
This research reproduction describes factors based on the share of a Chinese stock’s trading volume occurring in the opening call auction and near the close. The opening-auction factor, OCVP, is smoothed with a simple moving average and an exponentially…
This Chinese stock-screening example combines three filters: reported position increases above 5%, a daily rise above 1%, and a positive return below 35% over the prior ten days. It presents the combination as a way to find mainland listed shares with recent…
This Chinese-language research summary studies whether public equity fund stock exposure can inform market timing in the China A-share market. It uses a moving-average system to distinguish trending from range-bound regimes, analyzes how fund positioning…
This note outlines a Chinese equity screen for metaverse-themed stocks. It combines a relationship to the five-day moving average with three consecutive sessions in which the close is below the open. The article interprets the moving-average condition as a…
This note describes a simple Chinese equity screen combining metaverse-theme membership, a close above the previous session’s low, and a closing price fixed at 18.5 yuan. It presents the prior-low comparison as a short-term price-strength condition and…
This note describes a stock-selection screen for Chinese equities that keeps stocks with turnover between 3% and 12%, excludes Beijing-listed shares, and ranks candidates by a money-flow strength measure. Its formula reference relates the strength measure to…
This note outlines an A-share stock screen combining metaverse sector membership, a rounded or arc-shaped price pattern, and return on equity above 15% for five consecutive years. It then adds a monthly five-period moving average crossing above the…
The proposed screen combines three stock characteristics: price amplitude above one, a circulating share count no greater than 5.5 billion, and a 20-day concentration measure below 70%. The article presents the amplitude condition as a way to find more…
This screen focuses on stocks classified in the metaverse industry. It selects the five highest-ranked by the day's opening auction amount and requires the 30-day moving average to be above the 60-day moving average, using the relationship as a basic trend…
The article proposes screening Chinese stocks using price amplitude, company quality, and performance tied to 2021. Its expanded version adds valuation and fundamental comparisons, allows technical indicators such as KDJ, RSI, or MACD, and suggests…
This stock screen combines three signals: rank stocks by money-flow strength, require weekly MACD to be above zero, and look for shrinking negative MACD histogram bars on a 15-minute chart. The weekly condition is intended to favor stocks in an established…
This summary describes a method for constructing broad stock factor exposures and checking factor usefulness in a multifactor model. It presents returns as a linear combination of factor contributions plus an unexplained residual, and emphasizes examining…