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-selection idea combines three filters: alignment among the 5-, 10-, 20-, 30-, and 60-day moving averages, net buying by large orders in the afternoon, and more than two limit-up sessions within the previous ten days. The document interprets…
This article describes five technical patterns that it presents as warnings of a possible stock market top: an accelerating large bullish candle, a shooting star, a high-wave candle, a hanging-man candle, and high-volume sideways trading after a rally. It…
This article presents an equity screen combining three conditions: price range greater than one, return on equity above 15% in each of the prior five years, and turnover between 3% and 12%. It frames the filters as a way to find companies with sustained…
The document describes a Chinese equity screening idea that combines three filters: membership in the metaverse concept group, a positive institutional-flow signal, and an upward or positive DEA reading. It frames the first filter as a sector selection, the…
This report summary explains a framework for estimating returns from IPO subscriptions in China, in the context of the first companies listing after the ChiNext registration reform. It identifies three drivers of subscription returns: the amount raised, the…
This Chinese-language post describes an A-share screening idea: select stocks associated with the metaverse industry that appeared on the previous day's trading-record list and had at least one limit-up event during the prior month. It frames the combination…
The document proposes a Chinese equity screen for stocks classified in the metaverse industry. It selects names with a volume ratio above 1.5 and below 6, and a price increase under 6% at 9:25. The stated rationale is to combine elevated but bounded trading…
The proposed screen selects stocks associated with the metaverse theme when the prior day’s actual turnover is between 3% and 28%, and the current day’s position increase share exceeds 5%. The article interprets the turnover band as a possible sign of…
This Chinese-language article introduces a customizable stock-selection strategy on a quantitative trading platform. It describes combining five selection rules, mainly intended to find stocks that have fallen sharply and begun to stabilize, with some rules…
This Chinese stock-selection post proposes screening for companies in the metaverse sector with a circulating share count at or below 5.5 billion shares, while excluding stocks that reached the daily limit-up on the previous session. Its rationale combines a…
This stock selection rule screens for Shanghai-listed shares whose daily trading range exceeds one percent and that did not close at the daily limit-up on the prior session. The document frames the range condition as a way to find more volatile candidates…
This proposed stock screen combines price volatility, a recent large daily gain, and large-order net inflows. It calls for an amplitude above 1, at least one daily gain of 10% or more within the past 25 trading days, and big-order net quantity above 0.05 for…
This stock screen combines daily price movement with technical signals. It seeks shares whose intraday range exceeds 1, whose low is between 4% and 5% below the prior close, and whose three selected indicators form bullish crossovers at the same time. The…
The document describes a Chinese stock screen that combines three conditions: MACD above its zero axis, a 20-day moving average above the 120-day average, and revenue growth between 2018 and 2021 exceeding a stated ratio threshold. It frames MACD and the…
This document presents the Ppv technical indicator, which uses closing, high, and low prices over a chosen lookback period to derive a midpoint and six price levels. Three levels are labeled as resistance and three as support in the indicator’s formula…
This forum post raises a data-preparation problem in an LSTM trading strategy. The author reports that filtering rows before rolling sequence windows can remove observations that should remain part of the temporal context, causing later observations to shift…
This document outlines a stock screen requiring positive but less than 35% price appreciation over ten days, no limit-up session on the prior day, and a reported increase in holdings or capital allocation above 5% today. The author interprets these…
This document describes a Chinese stock selection rule combining a turnover range of 3% to 12%, first-level bid volume greater than ask volume, and at least one limit-up event during the previous month. It interprets these filters as indicators of liquidity,…
This brief indicator description explains a chart display that combines two Keltner channels built around one moving average. The channels appear as a colored cloud, with the latest values shown as price labels. This describes a visualization of channel…
The article compares two ways to build equity strategies: train a predictive model on chosen factors and a defined stock universe, or specify screening conditions directly. The AI approach can be quicker to assemble, but its behavior may be hard to diagnose…
This Chinese-language post describes a stock screen for companies classified in the metaverse industry. Its core conditions combine the opening price’s relationship to a ten-day moving average with a bounded daily return. The post presents differing…
This indicator identifies consecutive bullish White Soldiers or bearish Black Crows candle sequences. Its parameters let the user choose how many candles must appear in a row and optionally require each candle's real body to exceed a chosen share of its full…
This post presents a daily pre-open screen for Chinese stocks with MACD above zero, positive trailing earnings multiples, and prices below a stated threshold. It frames the MACD condition as a way to identify an upward trend, the positive P/E as a basic…
This community post describes a Chinese equity screen limited to stocks with codes beginning with 60. It combines a daily price-range condition with a previous-session opening-auction match price at the limit-down level, then ranks candidates by popularity.…