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 Chinese A-share stock screen combining a reported daily position increase above 5%, an external-to-internal trading volume ratio above 1.3, and a market capitalization ceiling of 10 billion yuan. It presents these as signs of recent…
The article presents a Chinese equity screening idea that combines a six-period RSI below 65, association with the metaverse theme, and at least two limit-up moves within a 500-day window. It frames the conditions as a way to combine a measure of market…
This note proposes screening Chinese A-shares for daily amplitude above 1%, excluding names containing a Beijing reference, and selecting stocks associated with 2021. It gives formula and Python examples that calculate the high-low range relative to the low,…
This note describes a Chinese equity screen combining turnover, industry classification, and a price comparison. It selects beverage and alcohol import or export stocks with turnover between 3% and 12%, and a closing price above the previous session’s low.…
This Chinese equity screen looks for stocks with amplitude above 1, a prior-day 9:15 matching price at the limit-down level, and a MACD value below zero from two days earlier. The final rule adds a market-capitalization floor of 1 billion yuan. The article…
The article describes a Chinese stock screen combining three ideas: several moving averages clustered together, turnover within a specified band, and a 20-day moving average above the 120-day average. It interprets clustered averages as alignment across time…
This Chinese A-share screening rule selects stocks with turnover between 3% and 12% that appeared on the previous day’s Dragon-Tiger List, while excluding Beijing-listed shares. The document presents the conditions as a way to narrow candidates using trading…
The document proposes a Chinese A-share screening rule for companies classified in the metaverse industry. It looks for stocks listed on the prior day’s Dragon-Tiger list and with a closing price lower on each of the preceding seven sessions. The rationale…
The document describes an A-share stock screen combining a 14-period RSI below 65, an estimated outer-to-inner trading volume ratio above 1.3, daily amplitude above 1%, and trailing price-to-earnings below 30. It explains the intended rationale: use RSI and…
This proposed stock screen selects Chinese equities with a daily price range above a threshold, no limit-up close on the prior day, and a positive institutional-flow measure. The explanation presents the range condition as a way to find active stocks and the…
This proposed Chinese equity screen combines three conditions: at least five moving averages converging, a rounded-bottom price shape, and at least two limit-up sessions within the past 500 days. The accompanying explanation interprets converging averages as…
This stock screen combines three conditions: association with the metaverse theme, positive net buying by major participants during the opening auction, and revenue in 2021 more than 1.1 times its 2018 level. The post presents the combination as a way to…
This A-share selection rule first screens for turnover between 3% and 12%, market capitalization below 10 billion yuan, and companies described as having no losses. It then ranks qualifying shares by the day’s auction amount and proposes investing in the top…
This A-share screening idea combines a turnover-rate band of 3% to 12% with seven consecutive daily declines, membership in the robotics concept group, and circulating market capitalization below 10 billion yuan. The post presents the criteria as a way to…
This note describes a Chinese equity screen that combines amplitude above a threshold, more than two limit-up days within ten days, and a 20-day moving average above the 120-day average. The moving-average relationship is presented as a way to favor stocks…
This note outlines a Chinese stock selection method using three filters: daily amplitude above a threshold, an opening price near the 10-day moving average, and a signal intended to identify the start of a strong rising phase. The example code…
This note describes a Chinese equity screen combining a price-movement threshold, the presence of an outstanding convertible bond name, and a circulating market value band of 5–10 billion yuan. It presents the conditions as a way to combine short-term price…
This stock-selection rule filters for a circulating market capitalization above 10 billion yuan, a recent amplitude above 1, and a ten-day price change greater than zero but below 35%. Its stated aim is to find relatively large stocks with notable price…
This stock 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 price pattern described as a rising bottom. The accompanying indicator logic…
This post describes a stock screen for Chinese equities that selects names with turnover in a specified range, excludes Beijing-listed shares, and requires relative trading volume to fall within stated lower and upper bounds. The stated aim is to find stocks…
This post proposes a Chinese A-share stock screen combining price movement, a measure of daily control, and buying activity in large and very large orders during the auction. It also suggests adding a dividend yield or PEG condition. The rationale is to…
This equity screen selects stocks with amplitude above 1, rising lows, and a 14-period RSI below 65. The conditions aim to identify shares that have substantial movement while showing a rising price floor and avoiding an overly high RSI reading. The document…
This stock screen combines daily price amplitude above 1, a positive weekly MACD histogram, and an outside-to-inside trade ratio above 1.3. It is intended to find shares with active price movement, a positive weekly technical signal, and buying-side…
This beginner overview explains Chainlink as a decentralized oracle network that connects smart contracts with external data and computation. It describes data feeds, lower-latency data streams, cross-chain messaging, developer functions, automation, and…