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 note describes a Chinese equity screen for stocks in the metaverse theme. It selects names whose prior-day actual turnover is between 3% and 28% and whose current-day return is positive, with the return calculated from the close relative to the previous…
This stock screen combines three conditions: rank stocks by volume ratio and retain the top 25, require limit-up events over the stated 25-day period, and select stocks whose 30-day moving average is rising while the close remains above it. The article…
This Chinese-language post outlines an equity screen combining three conditions: daily price amplitude above a threshold, a recent run of three consecutive limit-up sessions, and membership in the beverage and alcohol imports-and-exports industry. Its…
This indicator description presents the Zex as a lower-timeframe tool intended for scalping. It begins with a Stochastic Momentum Index calculated from closing prices, smooths that series with a triangular average, and defines a histogram from the difference…
This stock-selection approach combines a turnover filter of 3%–12% with a positive but capped 10-day price gain and a condition that the stock’s average price stands above its five-day moving average. The stated rationale is to focus on actively traded…
This post outlines a Chinese stock-selection screen combining a positive MACD reading, a signal described as prior-day institutional control, and alignment among several moving averages. It presents the original screen as requiring at least five averages to…
This note describes a timing strategy based on the rotation between large-cap and small-cap stocks in China’s A-share market. It compares the recent performance of the CSI 300 and CSI 500 indexes, representing the two size groups, and selects the stronger…
The document explains the directional components of Wilder’s Directional Movement Index: the positive indicator (+DI) and negative indicator (-DI). It distinguishes these from the Average Directional Index, which describes the strength of movement without…
This Chinese-language post outlines a daily stock screen focused on companies classified in the metaverse industry. It combines a newly formed KDJ bullish crossover with positive net buying attributed to large orders, and also specifies turnover, volume,…
This document presents a bounce-strength indicator for assessing buying or selling pressure while price trades inside a range. The proposed measure relates the close’s position within the bar’s high-low spread to its distance from the range boundary: upward…
The document describes a stock-selection screen using daily price range above one percent, weekly MACD above its signal line and above zero, and a top-ten ranking for large-order net flow. It gives formula-style conditions and a Python outline that estimates…
This Chinese-language article outlines a daily pre-market stock screen combining three conditions: MACD above its zero line, a share price below 12 yuan, and a chart pattern described as the start of a strong advance. Its suggested trigger uses a…
The article proposes screening Chinese stocks for three technical conditions: at least five overlapping moving averages, a rounded price pattern near a bottom, and more than two limit-up sessions within ten days. It interprets the moving-average cluster as a…
This Chinese stock-selection post describes a screen requiring daily price amplitude above 1%, a positive ten-day return below 35%, and circulating shares no greater than 5.5 billion. Its accompanying indicator formula and Python example show how to express…
The document outlines a Chinese equity screening approach that combines a small-company size constraint, a positive earnings condition, a short-term versus long-term moving-average comparison, and a ranking by capital strength. It describes turnover and…
This article describes an A-share overnight trade designed around the T+1 settlement rule: buy after 2:30 p.m. and sell at the next session’s opening auction or first moment, regardless of profit or loss. Its six filters seek stocks rising 3% to 5% that day,…
This stock screen selects shares with amplitude above 1, an appearance on the previous day’s market top-trading list, and a weekly price crossing above its 30-week moving average. The post treats amplitude as a sign of short-term movement, top-list activity…
This Chinese stock-selection post combines three filters: daily amplitude above 1, large-order net volume above 0.05 for at least three consecutive days, and return on equity above 15% for five consecutive years. It presents the combination as a way to pair…
This screen looks for metaverse-sector stocks whose prior-day closing price is above the 250-day moving average and whose weekly bars indicate positive momentum. It combines a thematic sector filter, a long-term trend condition, and weekly price strength.…
This stock screen selects A-share companies in the metaverse theme with a circulating share count at or below 5.5 billion and three consecutive limit-up sessions through the prior day. The rationale is that a popular sector and a short run of strong price…
This Chinese equity selection note outlines a screen for stocks in a designated metaverse industry group. Its initial description calls for simultaneous bullish crosses in three technical indicators and a previous-day auction turnover threshold. The more…
This indicator combines a Double Weighted Moving Average with a Jurik Moving Average and expresses their relationship as an oscillator. The stated motivation is to combine two relatively smooth averages into a system that produces a manageable number of…
This Chinese equity screen selects main board stocks with a daily amplitude above 1, an opening gain greater than 1% relative to the prior close, and a top-five rank by auction trading value. The proposed combination targets active stocks showing both price…
This Chinese equity screening idea combines a daily range filter, a fresh KDJ crossover, and positive prior-day auction turnover. The post’s stated final rule uses a range above 1% and auction turnover above 0.26, with the KDJ condition intended to capture a…