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 proposes a short-term Chinese equity screen combining price movement, activity, and fundamental filters. It selects stocks with an intraday range above 1%, at least one daily gain of 10% or more during the prior 25 trading days, and prior-day…
The post outlines a Chinese equities screen combining three conditions: rank stocks by capital strength, select the top five by the day’s auction amount, and require the 15-minute MACD histogram’s negative bars to be shrinking. It interprets these filters as…
This document describes a short-term stock screen combining a minimum price range, an “arc-shaped” price pattern, and a recent two-session high. Its formula reference also checks that recent minute-level volume is rising across progressively longer windows,…
The document proposes screening A-shares by turnover between stated bounds, a positive but limited return over ten days, and a positive daily MACD. It frames turnover and recent price appreciation as signs of trading activity and favorable price behavior,…
The document introduces the higher highs and lower lows stochastic (HHLLS), a momentum oscillator attributed to Vitali Apirine’s February 2016 article. It describes several possible uses: spotting emerging trends, identifying corrections, anticipating…
This stock selection method combines a daily amplitude threshold with a weekly moving average crossover and a filter excluding stocks that hit the upper price limit the previous day. The document presents the crossover as a technical strength signal and the…
This Chinese equities screen combines a turnover rate between 3% and 12%, year-over-year growth in net profit attributable to parent-company shareholders above 20% and no more than 100%, and a weekly MACD condition above zero. It presents the combination as…
This overview introduces trend-following tools for cryptocurrency charts: simple and exponential moving averages, MACD, MESA, and Parabolic SAR. It describes moving averages as smoothed views of price that can help identify trend direction, support or…
This stock screen combines a positive MACD reading with a company-category filter and a history of high return on equity. The article describes the intended idea as finding companies with favorable fundamentals and technical trends. Its stated ROE threshold…
This Chinese-language post describes an equity screening rule that selects stocks with an amplitude threshold, prior-day main-fund control, and a rising DEA. It frames the conditions as combining price activity and fund-flow participation with a short-term…
This overview explains how common technical indicators summarize price trends, momentum, volatility, and possible support or resistance. It describes simple and exponential moving averages, RSI, Bollinger Bands, MACD, the Stochastic Oscillator, Fibonacci…
This Chinese equities screening recipe combines a volatility condition, positive large-order net volume, and a long-term trend filter. It selects stocks with amplitude above 1, large-order net volume above 0.05 for at least three consecutive days, and the…
The document describes a stock screen for the metaverse industry that combines a newly formed KDJ bullish crossover with three consecutively declining closing prices. It outlines the intended selection logic and gives formula and Python examples for applying…
This post outlines an A-share stock screen using three conditions: a daily high-low range above a threshold, a nonempty convertible-bond name field, and a positive but capped return over ten days. It presents both an indicator-formula example and a Python…
This post describes an A-share screening recipe combining a price-range condition, exclusion of stocks marked ST, a five-session closing-high condition, and a limit on the stock’s price increase at 9:25. It also says to select stocks before 10:00. The…
The document proposes a China A-share screening rule focused on companies classified in the metaverse industry. Its initial filters include a limit on tradable share count and a positive MACD reading. A later version adds a market-cap ceiling and selects…
This stock-selection proposal filters for main-board shares with turnover between 3% and 12%, a daily gain above 1%, and a newly formed KDJ golden cross. The accompanying Python example checks recent K and D values for a crossover and adds a J-value…
This A-share stock screen combines a volatility condition, a weekly moving-average crossover, and positive daily price action. It seeks stocks with amplitude above 1, a weekly MA5 crossing above MA10, and a daily gain greater than 1%, while restricting the…
This Chinese stock-screening proposal combines three characteristics: at least five moving averages converging near one another, a preferred enterprise type, and at least two limit-up sessions within a 500-day lookback. The article interprets moving-average…
The document outlines a Chinese A-share screening idea focused on stocks classified in the metaverse theme. Its initial conditions are turnover above 8% on the previous day and an increase in the K value of the KDJ indicator. The final stated rule adds a…
This indicator adapts MACD by filtering price observations according to trading volume. It updates an analysis buffer only when current tick volume exceeds its average, then calculates the moving averages from the retained data. The intended idea is to give…
This expert advisor uses the standard MACD indicator to generate directional entry signals. It marks a buy condition when the MACD main line has declined or remained level across the three most recent indexed readings, and a sell condition when those…
This Chinese-language post outlines a daily stock selection screen based on three filters: rank stocks by trading volume or a stated measure of capital strength, keep those whose gain at 9:25 is below 6%, and require at least two limit-up sessions in the…
This stock-selection proposal combines three filters: a large high-low range, at least one daily gain of 10% or more in the preceding 25 trading days, and a ranking by capital or fund-flow strength. The intended effect is to find volatile stocks that have…