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.
22,592 documents
This stock screen selects Chinese main board companies with daily amplitude above 1, more than three years since listing, and a daily gain above 1%. Its rationale is to favor more active shares while excluding newer listings and limiting the universe to the…
The note proposes a short-term stock screen using three conditions: price amplitude above 1%, prior-day turnover above 60 million, and appearance on the previous day’s market top list. It presents amplitude and turnover as ways to identify active, volatile…
This short strategy note describes a daily pre-open screen for Chinese equities. It selects stocks with MACD above zero, positive trailing price-to-earnings, and a reported intraday low between 4% and 5% below the previous close. The rationale combines a…
The article argues that individual investors should not expect consumer AI tools to compete with professional high-frequency trading. It points to differences in computing location, market data access, and technical resources, and describes an alleged…
This stock selection rule combines a daily range condition, an RSI ceiling, and three simultaneous moving-average crossovers. The range must exceed one percent, RSI must be below 65, and the 5-, 20-, and 60-period moving averages must cross upward in the…
This Chinese-language stock selection example combines membership in the metaverse concept group with a rising 30-day moving average and a condition intended to identify rising price bottoms. It proposes holding stocks that meet the combined screen. The…
This A-share stock screen combines a 14-period RSI below 65 with parent-company net profit growth above 20% and no more than 100%, plus at least one limit-up event within the prior 25 days. The article explains the conditions as a blend of technical…
This Chinese A-share screening idea first selects stocks with an amplitude above 1 and a 9:25 auction gain below 6%, then ranks candidates by auction value and keeps the five highest. The proposed refined version adds a minimum auction value of 20 million.…
This stock screen combines daily price range, appearance on a broker ranking list, and large-order net flow. It selects stocks with amplitude above 1, a listing on the previous day's ranking, and large-order net volume above 0.05 for at least three…
This Chinese equity screen combines RSI, earnings growth, and a weekly bar signal. It looks for stocks with RSI below 65, year-over-year growth in net profit attributable to parent-company shareholders above 20% and no higher than 100%, and a positive weekly…
This stock screen combines a technical condition with profitability growth and a weekly indicator. It selects shares with RSI below 65, year-over-year growth in net profit attributable to parent-company shareholders above 20% and no more than 100%, and a…
This screening rule selects stocks when the reported buying-activity ratio exceeds 5%, the day’s maximum decline lies between 4% and 5%, and the ten-day return is positive but below 35%. The post treats the three filters as short-term buying cues: activity…
This stock screen combines three conditions to form a candidate pool: more than two limit-up days within ten days, a shortening MACD histogram on a 15-minute chart, and RSI below 65. The stated rationale mixes recent market attention, represented by limit-up…
This introductory page presents FinRL as a framework for applying deep reinforcement learning to stock trading. It directs readers to a sequence of example notebooks covering data preparation, model training, and backtesting, framing them as a way to follow…
This example organizes daily decisions across leveraged sector and broad-market ETFs using separate AI agents for technology, financials, healthcare, energy, and consumer-related groups. Each sector pod is instructed to consult recent news and macroeconomic…
This stock-selection idea combines three short-term conditions: daily amplitude above a threshold, at least one limit-up event during the past month, and a positive ten-day return below an upper bound. The article’s proposed refinement adds a PEG ceiling,…
This text introduces market efficiency as a contested idea whose meaning shapes how investors approach investing and valuation. It says the chapter offers a basic definition and considers what efficient markets would imply for investors. It also points…
This Chinese stock-selection post describes a screen combining three conditions: an amplitude measure above a threshold, a 9:25 price gain below a ceiling, and a rising DEA line from MACD. The stated rationale is to combine a measure of price movement with a…
The article proposes a Chinese equity screen restricted to the metaverse industry. It looks for stocks opening near or above their ten-day moving average, then ranks candidates using a measure combining the session’s price change with large-order activity.…
This short forum post asks whether a linear equity strategy can compare a stock’s ranking when purchased with its current ranking and sell after sufficient deterioration. The example uses a small-capitalization strategy holding ten stocks: a stock bought at…
This research summary argues that banks should be modeled separately in equity selection because their asset-heavy business structure and distinctive price behavior can make factors selected across the full market less effective within the sector. It…
This document describes a Chinese equity screen using three conditions: daily price range above a threshold, share price below a ceiling, and a 2019 dividend ratio above a threshold. It frames the screen as a mix of technical behavior and dividend…
This document describes an A-share screen for stocks with turnover between 3% and 12%, seven consecutive declining sessions, and a volume ratio between 1.5 and 6. The volume ratio is calculated against a five-session average. The article presents the pattern…
This document presents an A-share stock screen using turnover between 3% and 12%, total market capitalization below 10 billion yuan, positive earnings, and tradable market capitalization between 5 billion and 10 billion yuan. The formula also orders…