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 research summary examines an equal-weighted index drawn from the China Securities Index 500. It combines low valuation with expected earnings improvement, using analyst consensus expectations and a GARP-style approach to select mid-cap growth stocks.…
This post describes a stock screen that ranks by capital strength and requires the stock’s average price to be above its five-day moving average, with its 30-day average moving upward. The combination is intended to pair a capital-flow measure with short-…
This post outlines a Chinese stock screen that selects companies with at least five overlapping moving averages, positive price-to-earnings ratios, and a rising 30-day average. It presents the overlap as a sign that short- and long-term trends are stable,…
This proposed stock screen combines an amplitude threshold above 1, a listing age greater than one year, and at least one daily gain of 10% or more during the previous 25 trading days. The post treats a recent large gain as evidence of short-term strength…
This proposed Chinese equity screen selects stocks associated with the metaverse theme, with circulating market capitalization above 10 billion yuan and at least five moving averages converging. The post presents moving-average convergence as a way to…
This Chinese stock screen combines a technical threshold, a money-flow condition, and a convertible-bond field. It selects shares with RSI below 65, a positive product of percentage price change and net large-order volume, and a nonempty convertible-bond…
This community post presents a strategy backtesting framework that uses an iWencai selection function to choose stocks and run minute-level simulations. That outlines a basic workflow for testing intraday rules on a filtered equity universe: define a stock…
This note describes a daily stock screen combining three conditions: price range exceeds a threshold, the ticker begins with a specified Shanghai-market prefix, and the close is above the previous session’s low. It frames the range condition as a way to…
This note proposes a Chinese equity screen using an RSI threshold below 65, membership in the beverage and alcohol import-export industry, and a price below 12. It presents the combination as a way to pair a technical condition with an industry…
This note describes a stock screen combining daily turnover between 3% and 12%, appearance on the prior day’s trading leaderboard, and a closing price above its five-day moving average. The proposed logic aims to find liquid stocks that have attracted…
This stock screen targets companies in the metaverse industry whose opening price is near the ten-day moving average and that have recorded more than two limit-up days within ten days. The article frames the moving-average condition as a price-location…
The document describes a Chinese equity screening rule that combines a Metaverse industry classification with a price condition around the ten-day moving average and prior-day auction turnover above 0.26. Its stated rationale is to combine an industry theme…
This proposed stock screen combines a daily trading range greater than 1%, an intraday low between 4% and 5% below the previous close, and a rising 30-day average. It is presented as a way to identify stocks experiencing a sharp pullback while retaining an…
This A-share screening idea looks for companies with positive earnings, market capitalization below 10 billion yuan, and turnover between 3% and 12%, then selects stocks that have closed below their five-day moving average for three consecutive sessions. The…
This Chinese-language post outlines an equity screen that selects stocks associated with the metaverse concept, a rising 30-day moving average, and a KDJ bullish crossover. It presents the combination as a way to find stocks with upward price momentum. The…
This document describes a technical stock screen for mainland Chinese equities. It selects stocks whose 14-period RSI is below 65, whose latest high is the highest of the latest two observations, and whose 30-day moving average is rising. The stated…
This post describes a Chinese equity screen that combines a turnover-rate band, a beverage and alcohol industry filter, and positive fund-holding changes. Its proposed final logic also asks for a rising 30-day moving average. Formula and Python examples…
This Chinese stock-screening post combines a price-amplitude condition, a morning-star candlestick signal, and the presence of an outstanding convertible bond. It gives a formula reference and a Python example that checks recent daily prices and…
This note describes a Chinese A-share screen combining metaverse-sector membership, a turnover-related condition, and an intraday “control” measure above a stated threshold. Its rationale is to focus on a market theme, seek active trading, and identify…
This stock-selection recipe screens for companies in a designated metaverse category, a positive daily price change, and a rising 30-day moving average. Its final stated condition also requires a price-to-earnings ratio below 30. The article expresses the…
This introductory multi-factor stock selection method combines one profitability measure, return on invested capital, with two valuation measures, price-to-sales and price-to-book. The stated goal is to rank stocks by factors associated with returns and…
This stock selection method combines three technical conditions: a 14-period RSI below 65, the current close above its one-day moving average, and the 20-day moving average above the 120-day moving average. The moving-average comparisons aim to select stocks…
This proposed Chinese A-share screen looks for stocks associated with the metaverse industry, a rounded-bottom or arc-shaped pattern, and a daily decline between 4% and 5%. The final stated criteria also add PEG below 1. The document includes a Python…
This stock-selection recipe filters Shenzhen Main Board shares using a turnover range of 3% to 12%, an upward-moving DEA condition, price-to-earnings ratios from 0 to 29.01, and price-to-book ratios from 0 to 3.11. It presents the criteria in prose and gives…