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 Chinese A-share screening example combines a positive MACD reading, upward-moving averages, and the presence of an outstanding convertible bond. It explains these conditions as signs of bullish momentum and trend, with convertible-bond availability as…
This proposed short-term screen selects stocks with a large daily range, an indicator described as prior-day main-force control, current trading volume above a stated level, and an opening price above the previous close. The article associates these…
This screening idea combines a daily price-range condition, a market-cap ceiling of 10 billion yuan, positive net profit, and a rising DEA signal from MACD. The rationale is to find smaller profitable companies with recent price movement and improving…
This stock-screening proposal combines a daily turnover range with exclusion of Beijing-listed A shares and three simultaneous moving-average crossovers. The crossovers compare short and longer price averages, intended to identify stocks with several bullish…
This stock selection method screens for shares whose daily price range exceeds a threshold, whose average price is above the five-day moving average, and whose weekly MACD condition is positive. The article describes these filters as a way to focus on stocks…
The Alligator indicator combines three smoothed moving averages with periods of 5, 8, and 13, named the Lips, Teeth, and Jaw. Their differing speeds and forward shifts create a set of lines that respond at different rates to price movement. The description…
This post proposes a Chinese stock-screening rule that combines three signals: daily position-increase share above 5%, a measure labeled 70-day concentration below 20%, and shrinking MACD histogram bars on a 15-minute chart. It interprets the first as…
This stock screen combines a trading-activity filter with a size constraint and a profitability-quality condition. It selects shares with turnover between 3% and 12%, circulating market capitalization between 1 and 55 hundred million yuan, and return on…
This tutorial shows how to implement a collection of Chinese stock features and screening rules in BigQuant AIStudio 3.0. It divides them into expression features and expression filters, then explains that the same calculations can be entered as a SQL query.…
This Chinese equity screen selects stocks associated with the robotics concept, with turnover from 3% to 12%, circulating market value below 10 billion yuan, and price amplitude above 1%. The stated rationale is to combine sector exposure and smaller float…
This stock-selection method combines a daily turnover range of 3% to 12% with two recent market signals: a three-session limit-up streak and appearance on the previous day’s broker activity list. The rationale is that the streak captures short-term price…
This Chinese-language research digest summarizes two separate topics. The first reviews the United States target-date fund market, covering market share and flows, relative performance among fund series, and glide paths. It discusses glide-path averages and…
This Chinese community post proposes a stock selection rule combining daily price range, a positive but bounded ten-day return, and positive afternoon net inflow from large orders. The stated rationale is to find stocks with some recent appreciation and…
This indicator attempts to identify periods around a potential crossing between a shorter weighted moving average and a longer simple moving average. It marks a bullish zone when the weighted average is above the simple average while a second, smoothed…
This stock-selection idea screens Chinese equities associated with the metaverse theme, requires a positive institutional-flow reading, and selects stocks whose closing prices lie between the middle and upper Bollinger bands. The proposed rationale is to…
This report describes a Chinese equity index-enhancement strategy built from a composite stock-selection signal and portfolio constraints. It combines factors spanning company size, valuation, growth, profitability, technical behavior, liquidity, and…
This research report describes a Chinese equity fund approach that first selects industries through fundamental analysis, then applies a multi-factor model to stocks within those industries. Industry research estimates long-term growth across more granular…
This proposed Chinese equity screen combines daily amplitude above 1, circulating market capitalization above 10 billion yuan, and convergence among five moving averages. The post presents amplitude as a measure of volatility, market capitalization as a size…
This stock-screening idea combines three conditions: amplitude above 1, a change in an institutional trading-volume measure, and at least one limit-up event within the prior month. The accompanying explanation treats volatility as a sign of active trading,…
This post proposes a Chinese equity screen combining price movement and Bollinger Band position. It selects stocks with a daily high-to-low range above a volatility threshold, at least one daily gain of 10% or more during the previous 25 trading days, and a…
This research note reviews the growth and allocation case for quantitative funds in China, focusing on index enhancement and equity long-short strategies. It reports that in the first half of 2021, CSI 500 enhancement strategies outperformed selected active…
The article proposes screening Chinese A shares in the metaverse industry for stocks reported on the prior day’s Dragon-Tiger list and with first-level bid volume greater than first-level ask volume. It interprets the quote imbalance as a sign of positive…
This indicator identifies bullish or bearish engulfing candles using either candle bodies or full high-low ranges. A configurable lookback checks whether a chosen number of preceding closes moved consecutively in one direction, then requires that sequence…
The discussion concerns how to retrieve constituent stocks for Tonghuashun industry indices, including index 881129. The original poster says common index, industry, and concept constituent functions did not return the desired codes. A reply suggests…