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
This post describes a basic A-share momentum screen that excludes Beijing-listed stocks and selects for daily amplitude above 1% and a closing price at the two-day high. It frames amplitude and market location as filters and the recent price high as a…
This stock screen looks for daily amplitude above 1%, a current high matching the highest high over two sessions, and an intraday low that is 4% to 5% below the previous close. The post interprets the combination as selecting volatile stocks that have…
This post presents a daily, end-of-session A-share selection rule: retain stocks with MACD above zero and turnover between 3% and 12%, then rank them by market heat. It describes positive MACD as a trend filter and heat as a way to identify stocks attracting…
This document describes a short-term A-share screen combining turnover, recent price declines, and limit-up activity. It selects stocks with turnover between 3% and 12%, three consecutive falling sessions, and more than two limit-up days within the prior ten…
The article proposes screening stocks for a daily price range above 1%, no limit-up close on the previous day, and a positive gain over the preceding ten days below 35%. It presents the range as a way to find more active shares and treats the prior-day…
This stock-selection screen combines turnover, order-book balance, and share price. It selects listed mainland Chinese stocks with turnover between 3% and 12%, first-level bid volume greater than first-level ask volume, and a latest price below 12 yuan. The…
This document outlines a Chinese-equity screen requiring a stock to belong to the metaverse theme, have positive net buying attributed to major participants during the auction, and show a KDJ K value below 20. The post interprets the KDJ threshold as a weak…
This document describes an intraday screen for Chinese equities. Its stated filters are turnover between 3% and 12%, at least one limit-up event in the previous 25 days, and exclusion of special-treatment stocks. It aims to identify candidates before 10 a.m.…
This screen looks for metaverse-related stocks whose turnover is between 3% and 12% and whose candles have closed down for seven consecutive sessions. The document describes the setup as a way to find companies in the metaverse theme after a sustained…
This system combines the direction of an X-day average of closing prices with price comparisons over two lookback intervals. A buy setup requires the average to be higher than it was Y days earlier, while the latest close is below its level Y days earlier…
This stock screen targets companies classified in the metaverse industry. It selects shares where the KDJ indicator has just crossed upward and turnover is between 2% and 9%, with eligible securities checked before 10 a.m. for that day's trading. The…
This note proposes screening Chinese stocks for prior-day trading-list appearances with buy amounts greater than sell amounts, an amplitude threshold, and membership in a beverage or alcohol-related industry. It presents the combination as a way to capture…
This note describes a short-term Chinese stock screen using three conditions: amplitude above a stated threshold, a rising-bottom pattern, and more than two limit-up days within a ten-day window. Its stated rationale is to find shares with strong recent…
This Chinese stock-screening note combines a 14-period RSI threshold below 65 with a recent candle pattern, then ranks qualifying shares by auction value and selects the top five. The stated rationale is to pair a technical condition described as oversold…
This article outlines a process for developing equity selection rules, from finding market examples and forming a hypothesis to implementing factors, running an initial backtest, reviewing losses, and deciding whether to adjust the logic. It proposes several…
This document describes a Chinese A-share selection rule that combines turnover between 3% and 12%, market capitalization below 10 billion yuan, positive earnings, and institutional activity above zero. Its refined version focuses on companies whose…
This document presents a Chinese A-share screening rule for robot-themed stocks. It combines daily amplitude above 1%, a KDJ value below 20, and floating market capitalization below 10 billion yuan. It also gives example implementations using a stock…
This note presents a stock screen based on amplitude above 1, current volume above 10,000 lots, an open above the previous close, and positive institutional activity. It interprets high amplitude and volume as signs of active trading, a higher open as a…
This proposed A-share screen combines market capitalization below 10 billion yuan, a non-loss-making business, a current turnover range of 3% to 12%, and prior-day actual turnover between 3% and 28%. It treats moderate turnover as a way to favor liquid,…
This note proposes screening stocks with RSI below 65, turnover between 3% and 12%, and shortening MACD histogram bars on a 15-minute chart. The rationale is to find stocks whose short-term decline may be easing, while using RSI to avoid highly extended…
This note describes a short-term A-share screen combining amplitude above 1, rising bottoms, and a morning-star candlestick pattern. Its formula references a sequence of open and close prices, while the sample implementation also checks a low KDJ reading.…
This Chinese-language article outlines an equity screen combining a daily high-low range above one percent, weekly MACD above zero, and seven consecutive sessions in which each close is below the prior close. It frames the setup as a way to find stocks with…
This Chinese-language post outlines an equity screen requiring price amplitude above one, a measure described as afternoon large-order net inflow, and seven consecutive sessions with closes below the preceding close. It then says to choose the strongest…
This Chinese-language post describes an A-share selection rule combining three conditions: price amplitude above one, a dividend payout ratio above 25% for 2019, and the current session’s low below the previous session’s low. It presents higher amplitude as…