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 Supermind example screens Chinese equities using three conditions: turnover between 3% and 12%, a listing year of 2021, and a short-term MACD pattern on 15-minute data. The described histogram condition is that the MACD green bars are shortening. The…
This Chinese stock-screening post combines a turnover band, beverage and alcohol industry classification, and a moving-average signal described as a morning-star condition. The indicator requires the five-day average to be rising, the prior close to sit…
The document outlines a Chinese stock screen combining price amplitude, a morning-star candlestick condition, and an opening price change constrained to between −2% and 5% relative to the prior close. It presents amplitude as a measure of activity, the…
This stock screen selects shares with daily high-low amplitude of at least 1% and turnover above 2% but no greater than 9%, then ranks candidates by a measure of trading activity or investor attention. The article's example formula uses traded amount as the…
This stock-selection idea combines three conditions: daily high-low amplitude above 1%, a newly formed KDJ crossover, and an opening price at least 9.95% below the prior close, described as a prior-day 9:15 indicative match at the limit. Selected shares…
The document outlines a technical screen for stocks in the metaverse industry. It seeks simultaneous bullish crossovers in MACD and two moving-average pairs, with the closing price above the upper and middle Bollinger Bands. The underlying rationale is to…
The document proposes a Chinese stock screen combining price movement, convertible bond information, and the KDJ indicator. Its stated idea is to select shares with amplitude above a threshold, a nonempty name for an outstanding convertible bond, and a…
The document describes a Chinese stock selection rule combining an amplitude threshold, a prior-day signal tied to the 9:15 matching price and limit-down conditions, and a specified closing price. It suggests sorting qualifying stocks by popularity and…
This stock-selection method combines a 14-period RSI threshold with order-book volume imbalance and an institutional-flow measure. The article first describes RSI below 65, bid-side volume above ask-side volume, and institutional direction above zero; its…
The document describes a daily A-share stock screen limited to companies classified in the metaverse industry, with circulating share capital at or below 5.5 billion shares and daily price change between -5% and 2.6%. It gives a closing-price formula for…
The document describes a stock screen that selects securities whose codes begin with 60, whose daily amplitude exceeds 1, and whose daily decline lies between 4% and 5%. It presents the screen as a way to find volatile stocks that have fallen sharply, then…
This documentation explains how to connect OctoBot to Telegram's API so it can listen to public groups for trading signals. It distinguishes this setup from the simpler Telegram configuration used to control OctoBot or listen to private groups. To use the…
The document proposes a stock screen combining daily price amplitude above a threshold, a market capitalization ceiling, positive net profit, and at least five converging moving averages. It argues that clustered averages may point to a relatively stable…
This document proposes screening Chinese A-shares using three conditions: a trading range above a stated threshold, a nonempty convertible-bond name, and a limit-up event within the prior 25 days. It presents the idea as a combination of volatility,…
This note presents a Chinese equity screen that looks for stocks associated with the metaverse theme, a rising 30-day moving average, and circulating market capitalization above 10 billion yuan. It combines a thematic classification with a trend condition…
This research summary tests whether machine-generated stock-selection factors add value to established manually designed factor libraries. It uses genetic programming to evolve candidate formulas from market data, then applies random forests to turn factor…
This note describes an A-share stock screen combining daily turnover between 3% and 12%, a newly formed KDJ golden cross, and a tradable share count no greater than 5.5 billion. Its rationale is to pair trading activity and a technical momentum signal with a…
This Chinese-language post outlines a stock screen combining a daily high-low range greater than one percent, a 2021 date filter, and upward-moving trend measures. The provided formula expresses the range condition using the day’s high and low relative to…
The document describes a simple Chinese A-share screen based on daily price range, excluding Beijing-listed shares, and requiring a closing price around 18.5 yuan. It presents the range test as a way to identify stocks with price movement, while the…
The document proposes an A-share stock selection screen that combines daily price range, a specified closing price, revenue growth over several years, and additional filters for profit growth, market capitalization, and trading volume. It presents the…
This document presents an equity screen combining a price-range condition, exclusion of stocks marked ST, a selection time before 10 a.m., a five-session high condition, and turnover between 2% and 9%. Its example implementation calculates a range measure…
This document describes a Chinese equity screen that selects stocks with turnover between 3% and 12%, seven consecutive daily declines, and a circulating share count no greater than 5.5 billion. It frames the falling-price pattern and smaller float as…
This Chinese stock-selection rule requires turnover between 3% and 12%, a newly formed KDJ golden cross, and a daily amplitude above 1%. The proposed rationale is to avoid stocks with very low or unusually high turnover, use the KDJ crossover to identify a…
This Chinese equity screening proposal combines three conditions: rank stocks by volume ratio and select the top 100, identify those with the largest absolute gap between the prior day's 9:15 indicative match price and limit-down price, and require the…