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
The article proposes a stock screen focused on the metaverse industry. Its initial conditions require a volume ratio above 1.5 and below 6, alongside a positive return over the referenced lookback period. The article explains that recent gains and trading…
This document explains a simple automated Forex strategy driven by the crossover relationship between short- and long-period moving averages. When the short average is above the long average, the EA treats the market as bullish, closes any sell positions,…
This note describes a stock screen for Chinese shares whose codes begin with 60. It selects stocks with a daily high-to-low range greater than 1% of the opening price and a 10-day return above 0% but below 35%. The accompanying examples show how to express…
This post proposes a Chinese stock screen for observations in 2021, combining daily amplitude above one percent with a reported daily decline between four and five percent. It frames the filters as a way to find volatile stocks that have fallen substantially…
This post describes a Chinese equity screen combining daily price range, recent performance, and company size. It seeks stocks with an amplitude above one percent, a positive ten-day return below 35 percent, and market capitalization of at least two hundred…
This A-share screening method combines three technical conditions: daily price amplitude above 1, upward dispersion in the day’s moving averages, and a weekly crossover in which the five-period moving average rises above the ten-period average. The intended…
This A-share stock screen combines turnover of 3% to 12%, market capitalization below 10 billion yuan, positive profitability, and positive net buying attributed to large traders during the opening auction. The article frames the filters as a way to find…
This article proposes screening stocks for a daily price range above one percent, a weekly MACD reading above zero with a bullish signal relationship, and a large absolute product of daily percentage change and a measure of net large-order flow relative to…
This article describes a stock-selection screen for companies associated with the metaverse theme. It combines bullish MACD and moving-average crossovers with a recent limit-up condition, a volume-ranking filter, and price and high-range checks. The stated…
This Chinese-language post proposes screening A-share stocks using three conditions: RSI below 65, seven consecutive sessions in which the close is below the open, and a turnover-adjusted ratio involving the current opening-auction volume and the prior day’s…
This proposed screen targets main-board Chinese stocks with turnover between 3% and 12%, a daily gain greater than 1%, and at least one limit-up event during the preceding 25 days. The post frames turnover as a way to avoid both weakly traded and excessively…
This Chinese stock-selection proposal combines three technical filters: daily amplitude above 1%, weekly MACD above its zero line, and the K value from KDJ below 20. The weekly MACD condition is intended to keep stocks with a positive broader trend, while a…
This stock selection rule screens for shares with amplitude above 1, circulating market value above 10 billion yuan, and turnover between 2% and 9%. It combines a price-movement condition with company size and trading activity, aiming to select larger,…
The article describes a stock screen that looks for a positive MACD value and a short moving average above a longer one, while excluding stocks that hit the daily limit-up on the previous day. It frames these conditions as signs of upward momentum while…
The document describes a Chinese equity screen for metaverse companies that have recorded a limit-up day within the prior 25 trading days and maintained return on equity above 15% for five consecutive years. It presents ROE as a measure of sustained…
This Chinese equity screen combines three conditions: daily price range above a stated threshold, afternoon large-order net inflow, and company scale above a stated floor. The article presents these as signals of short-term demand and sentiment, with size…
This Chinese equity screening rule selects stocks whose daily amplitude exceeds a stated threshold, whose intraday low falls within a narrow band of roughly four to five percent below the prior close, and whose previous close is above the 250-day moving…
This Chinese equity screening rule combines a daily price-range condition, a history of repeated limit-up moves over a 500-day window, and a ranking based on large-order net flow. The post describes calculating recent net buying and selling activity, ranking…
This stock-selection rule screens main-board shares for a daily high-to-low range of at least one price unit, return on equity above 15% in each of the prior five years, and a daily gain greater than 1%. It combines a price-movement condition with a…
This Chinese A-share screening idea combines three conditions: at least five overlapping moving averages, weekly MACD above zero, and a 9:25 a.m. price gain below 6%. The article interprets the moving-average condition as price stability, the MACD condition…
This stock-selection proposal filters companies classified in the metaverse industry by a volume ratio between 1.5 and 6 and a weekly MACD reading above zero. Its rationale is to combine relative trading activity with a positive longer-term momentum signal.…
This stock screen combines trading activity, a convertible-bond listing condition, and a short-term trend filter. It selects the top 100 stocks by trading volume over an unspecified period, requires the outstanding convertible bond name field to be…
This post outlines a Chinese stock-screening idea that orders shares by “capital intensity” and keeps those with positive institutional activity, with 2021 specified as the target year. It defines capital intensity as trading volume relative to free float…
This stock-selection example combines a technical condition with trading activity and a dividend-related fundamental filter. It selects shares with a 14-period RSI below 65, prior-day auction turnover above 0.26, and a 2019 dividend ratio above 25%. The…