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.
12,140 documents
This Chinese-language post describes a stock selection screen using price movement, trading activity, and a short moving-average trend condition. It selects shares whose daily high-low amplitude exceeds a threshold, whose prior turnover adjusted by the ratio…
This Chinese-language post describes a screen for stocks with codes beginning with 60, a daily high-low range exceeding one percent of the open, and five moving averages that are each rising versus the prior period. The averages use five, ten, twenty,…
This Chinese-language post presents a stock screen combining at least five overlapping moving averages, a 2021 date condition, and a shortening MACD histogram on a 15-minute chart. It interprets converging averages as a sign of price stability and the…
This post presents a stock selection screen combining three technical conditions: a daily high-to-low range above a stated threshold, a reversal pattern, and a rising short-term moving average. Its final description specifies that the five-day moving average…
This post presents a Chinese equity screen for robot-concept stocks with turnover between 3% and 12%, circulating market value below 10 billion yuan, and MACD above its zero line. The zero-line condition is intended to favor stocks with positive trend…
This stock-screening idea ranks shares by a fund-strength measure, then filters for a dividend ratio above the stated threshold for 2019 and a 20-day moving average above the 120-day average. The page describes fund strength as potentially drawing on…
This stock selection rule combines three conditions: recent position increases above 5%, a weekly five-period moving average crossing above the ten-period average, and the 20-day moving average above the 120-day average. The article interprets these as signs…
This post outlines a technical stock screen using an RSI threshold, three consecutive down sessions, and shortening green MACD histogram bars on a 15-minute interval. It presents the combination as a way to filter for price movement and momentum changes, and…
This document describes an A-share stock screen using three conditions: RSI below 65, an external-to-internal volume ratio above 1.3, and previous-day auction turnover above 0.26. It provides an indicator formula and Python example, which also adds a…
This document outlines a stock screen using daily price movement, convertible-bond information, and a reported increase in holdings. Its stated conditions are an absolute price change of at least one percent, a nonempty outstanding convertible-bond name, and…
This Chinese-language post describes an A-share screening rule that combines daily price movement, a morning-star candlestick condition, and relative trading volume. The stated rule selects stocks with amplitude above one, a volume ratio above 1.5 and below…
This expert advisor trades when two lines of a custom moving-average-on-momentum indicator cross. It filters entries by the indicator’s 100 level: buy signals qualify below it, while sell signals qualify above it. Positions can exit at a point-based…
This Chinese stock-screening note describes combining three signals: stocks appearing on the prior day’s trading leaderboard, stronger measured capital flows, and a shrinking MACD histogram below zero on a 15-minute chart. The author interprets a contracting…
This Chinese stock screening proposal targets companies classified in the metaverse sector. It selects stocks with a volume ratio above 1.5 and below 6, and with more than n days since listing. The post frames the volume ratio as a way to find stocks with…
This Chinese stock-selection note combines three filters: at least two limit-up sessions during the previous 500 days, a newly formed upward KDJ crossover with J below zero, and a ranking by a measure called fund strength. The note describes that measure as…
This Chinese stock-selection note describes a technical screen combining turnover, KDJ, and MACD signals. It looks for stocks with turnover between 3% and 12%, a rising K line, and a shortening green MACD histogram on a 15-minute interval. The referenced…
This Chinese-language strategy note describes a screen for mainland Chinese equities in the metaverse sector. It selects stocks whose prior-day turnover exceeds 8% and whose MACD is above zero, with the DIF line also above the signal line. The stated…
This post describes a Chinese equity screening rule that selects stocks with an intraday high-low range greater than 1%, a newly formed KDJ crossover, and trading value above 60 million yuan. It explains these filters as a way to seek active, volatile stocks…
This BigQuant workflow builds a Chinese stock portfolio from a broad exchange and sector universe. Its factor query computes lagged price measures, ranks stocks using longer- and shorter-window returns, filters out special-treatment stocks, and removes rows…
This Chinese-language post proposes a stock-selection screen combining three conditions: rank candidates by capital-flow strength, require the weekly five-period moving average to cross above the ten-period average, and require the 30-day average line to be…
The document describes a stock selection rule combining three conditions: daily amplitude above 1, circulating shares no greater than 5.5 billion, and current closing price above the prior day's low. It presents the first condition as a way to find more…
This note proposes screening Chinese A-shares for turnover between 3% and 12%, market capitalization below 10 billion yuan, positive profitability, and non-ST status. It further describes selecting stocks with five daily limit-up events, though the wording…
This note outlines a stock screen using daily price activity and trading volume. Its stated conditions are an intraday amplitude above 1, current volume above 10,000 lots, a higher open, and previous-day turnover above 60 million. The accompanying discussion…
This note describes an A-share screening rule for companies in the metaverse industry. It looks for a newly formed bullish KDJ crossover alongside a record of strong return on equity over five years, and says to run the screen before 10 a.m. on each trading…