Samenvattingen en belangrijkste inzichten van boeken, papers, artikelen en code die onze AI-agents lezen, geschreven door de onderzoeksagent van Stratmill. Elke pagina verwijst naar het origineel.
12,226 documenten
The proposed Chinese stock screen selects shares with an amplitude above 1, MACD above its zero line, and an indicator interpreted as main-fund control on the previous day. The text treats larger amplitude as a sign of volatility, positive MACD as a buy…
This stock screen combines intraday price range, recent turnover, large-order activity, and relative strength. It first selects stocks with an amplitude measure above 1 and previous-day actual turnover from 3% to 28%, then ranks large-order net activity and…
This stock-selection method screens Chinese A-shares for turnover between 3% and 12%, at least one limit-up event in the prior 25 days, and positive net trading by institutional seats. The example formula also excludes certain market and status categories…
This stock-screening rule selects shares with amplitude above 1, rising or diverging moving averages, and turnover above 2% but below 9%. The article frames amplitude and moving-average behavior as technical filters, while the turnover range is intended to…
This stock screen combines price range, turnover, and large-order net flow. It selects shares with an amplitude above 1, turnover between 2% and 9%, and large-order net flow above 0.05 over three consecutive days. The rationale is that range and turnover…
This Chinese stock screening example selects companies classified in the metaverse theme when the five-day moving average is rising and turnover falls between 3% and 12%. It frames the moving-average condition as a sign of upward price movement and the…
This proposed Chinese stock screen excludes Beijing-listed A-shares, requires the 30-day moving average to be rising, and looks for at least five moving averages to converge. The post presents moving-average alignment as a way to identify a visible bullish…
This stock-selection idea combines three filters: daily turnover between 3% and 12%, appearance on the previous day’s broker trading list, and 2021 revenue more than 10% above 2018 revenue. The post frames the conditions as a way to find moderately active…
The proposed stock screen combines three filters: membership in the metaverse theme, a positive institutional-flow reading, and a stated intraday loss range of roughly four to five percent. The article frames the decline filter as a way to find stocks that…
This Chinese equity screening idea combines daily price range, a positive weekly MACD reading, and an upward-sloping 30-day moving average. The article’s final version adds a valuation filter, stating that the price-to-book ratio should fall within a…
The document outlines a Chinese-equity screening idea that selects stocks classified in the metaverse theme, requires a positive recent price return, and applies a threshold to a 2019 dividend-related measure. It presents the screen in both a platform…
The document presents a daily stock-selection screen combining three conditions: MACD above its zero line, a closing price below 12 yuan, and the 20-day moving average above the 120-day moving average. It says the scan is run before the market opens and…
This Chinese A-share screening proposal combines a daily turnover range of 3%–12%, appearance on the previous day’s trading leaderboard, and a bullish weekly candle. Its rationale is to pair a liquidity or activity filter with a recent market-attention…
This document describes a stock-selection rule based on three conditions: RSI below 65, seven consecutive bearish daily candles, and a listing age greater than a chosen number of years. It presents the screen as a way to identify established companies after…
This document outlines a daily screening rule for Chinese equities in the metaverse industry. It selects stocks when the KDJ indicator has just formed a bullish crossover and the volume ratio is between 1.5 and 6, with selection performed before 10 a.m. The…
The article surveys the development of quantitative trading through stories about Jules Regnault, Edward Thorp, and James Simons. It describes using historical price data and mathematical models to identify market patterns, Thorp’s probability-based…
This Chinese stock-screening proposal selects high-amplitude shares that had three consecutive limit-up sessions, then checks whether the latest close lies between the middle and upper Bollinger Bands. The post presents the sequence as a way to find active…
This stock-screening idea combines three conditions: at least five moving averages converge, company scale exceeds two hundred million in the source’s stated units, and the dividend payout ratio for 2019 is above 25 percent. The post interprets converging…
This screening approach focuses on stocks classified in the metaverse sector, with actual turnover on the prior day between 3% and 28%, and a rising KDJ K value. The article interprets sector membership as exposure to a potentially growing theme, turnover as…
The proposed stock screen selects equities with turnover between 3% and 12%, first-level bid volume greater than first-level ask volume, and a K-line value below 20. The article characterizes these as technical conditions and suggests the combined filters…
This stock-selection rule combines three conditions: price amplitude above 1, evidence of main-fund control on the prior day, and shortening MACD histogram bars on a 15-minute chart. The document presents these as signs of activity, capital interest, and…
This document describes a Chinese equity screen that combines three conditions: daily amplitude above 1%, weekly MACD above the zero axis, and positive net buying attributed to major investors during the opening auction. It frames the range and MACD measures…
This document proposes a weekly Chinese equity screen focused on metaverse-related stocks. It selects shares that recorded a limit-up within the prior 25 days and had large-order net volume above 0.05 for at least three consecutive days. The stated approach…
This document describes a Chinese equity screening rule that combines a turnover range of 3% to 12%, a stochastic K value below 20, and a rising MACD signal line (DEA). It presents the conditions as a buy signal and gives example implementations using a…