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 screen selects Chinese stocks with turnover between 3% and 12%, a 2021 listing year, and at least one limit-up event within the past month. The article frames turnover as a liquidity filter and a recent limit-up as a sign of market attention or…
The document outlines a Chinese stock screening rule that ranks shares by relative volume and looks for a shortening MACD histogram below zero on a 15-minute chart. It interprets high relative volume as a sign of near-term market attention and a shrinking…
This A-share screening idea combines a positive MACD reading, an upward separation or crossover of short moving averages, and three consecutive lower closes. The intended setup pairs a broader positive momentum condition with recent short-term weakness,…
This stock screen combines a 14-period RSI below 65, a positive product of daily percentage change and a measure of very large-order net inflow above 1, and negative returns across seven consecutive sessions. The stated rationale is to find stocks that have…
This Chinese stock screen looks for shares with daily amplitude of at least 1%, turnover above 2% and no higher than 9%, and at least one session with a gain of 10% or more during the prior 25 trading days. The selection combines a volatility measure,…
This Chinese stock-screening example selects shares with turnover between 3% and 12%, three consecutive declining sessions, and no limit-up event on the previous day. It presents the rule as a way to find actively traded stocks after a short decline while…
This stock screen selects shares with daily amplitude above 1, a year value of 2021, and a control ratio above 21. The document describes amplitude as a measure of price movement and interprets a higher control ratio as stronger buying pressure. It includes…
This technical stock screen combines an RSI reading below 65 with seven consecutive declining sessions and a MACD value below zero two days earlier. It is framed as a way to identify stocks at relatively low levels while excluding some downward-trending…
This stock-screening idea combines a daily amplitude threshold with a robot-industry theme, a cap on circulating market value, and an upward-sloping 30-day moving average. The moving-average condition adds a price-trend filter to the thematic and size…
This note proposes screening A-shares using three conditions: a 14-period RSI below 65, an outer-to-inner volume ratio of at least 1.3, and prior-day turnover above 8%. Its sample formula and Python example outline how those conditions might be applied. The…
This note describes an A-share screening rule combining a 14-period RSI below 65 with an outer-to-inner volume ratio above 1.3, while excluding the STAR Market. The article presents these conditions as a way to combine a technical indicator with…
This post proposes a stock-selection screen that combines a daily high-low range threshold, a calendar-year filter for 2021, and a condition intended to identify an increase in trading volume. Stocks passing the conditions enter a candidate pool. The article…
This Chinese-language post proposes a stock screen requiring RSI below 65, three consecutive declining sessions, and trading value above 60 million on the previous day. It presents the combination as a way to find stocks with a potential technical base and…
This Chinese-language post describes a mainland China stock screen combining four conditions: RSI below 65, a daily gain above 1%, main-board listing, and a current-day low below the prior day’s low. It frames the combination as a way to find shares with…
This stock-selection rule screens out Beijing-listed shares, keeps stocks with price amplitude above 1%, and looks for a weekly close crossing above its 30-week moving average. The document describes the rule in plain language and gives example…
This proposed stock screen selects shares with a daily high-low range above a stated threshold, a closing price above the five-day moving average, and a specified industry exclusion. The post’s explanation treats larger price ranges as potential…
This proposed daily stock screen selects shares with MACD above its zero line, ranks candidates by market attention, and keeps companies whose revenue in 2021 was more than 1.1 times revenue in 2018. It describes MACD as a short-term trend measure, stock…
This Chinese stock selection note describes a technical screen requiring daily amplitude above 1%, a maximum daily decline between 4% and 5%, and a weekly five-period moving average crossing above the ten-period average. It presents the weekly crossover as a…
This Chinese stock selection note combines three filters: daily amplitude above 1%, circulating market capitalization above 10 billion yuan, and a turnover-based activity measure between 0.5 and 2. That measure multiplies the prior day's turnover rate by…
This Chinese stock selection note describes a screen combining daily price movement with a weekly moving average signal. It selects stocks whose intraday high-to-low range exceeds 1%, whose weekly five-period moving average crosses above the ten-period…
This proposed stock screen combines three filters: MACD above its zero line, a ratio of external to internal trading volume above a stated threshold, and a dividend payout measure above a stated level for 2019. The accompanying discussion treats MACD as a…
This document presents a Chinese stock screen built around three conditions: membership in the metaverse theme, positive net buying by major participants during the opening auction, and a fund-strength measure ranked from high to low. Its rationale is to…
This document describes a stock selection rule combining daily price movement, recent trading activity, and a weekly trend indicator. It selects shares whose intraday amplitude exceeds 1, whose prior-day turnover is above 60 million, and whose weekly MACD is…
This stock-selection rule screens companies in the metaverse sector for a limit-up day within the previous 25 days and a current-day decline between 4% and 5%. It proposes running the screen before 10 a.m. The accompanying Python example filters a daily data…