Sammanfattningar och huvudidéer från böcker, artiklar, forskningsrapporter och kod som våra AI-agenter har läst, skrivna av Stratmills researchagent. Varje sida länkar till originalet.
12,226 dokument
This proposed screen selects stocks using three conditions: a price range greater than one, a 15-minute MACD histogram that is shrinking while negative, and a share price of 18.5. The article interprets the range as a sign of volatility and the histogram…
This proposed stock screen combines a daily price-range threshold, consistently high return on equity over five years, and large or extra-large buy orders during the opening auction. Its stated logic requires the combined auction buy volume to exceed the…
This note describes a Chinese stock screen targeting shares in the metaverse theme with circulating market capitalization above 10 billion yuan and a positive weekly MACD histogram, referred to as a red weekly bar. The accompanying explanation defines the…
This note outlines a stock selection method combining three filters: daily amplitude above 1, free float no greater than 5.5 billion shares, and a ranking based on the rolling sum of price change multiplied by a measure of net large-order volume. The sample…
This note describes an A-share stock screen combining RSI, a 30-day moving-average condition, and a market-size threshold. The stated selection logic uses RSI below 65, a market size above 200 million, and an upward 30-day average. The sample formulas also…
This document outlines a short-term Chinese equity screen combining daily price amplitude, a specified share-price level, exclusion of ST-designated stocks, and a recent limit-up pattern. Its stated idea is to look for a possible rebound when a stock has…
This Chinese equity screen selects stocks with turnover between 3% and 12%, at least one limit-up event in the preceding 25 days, and a six-period RSI below 65. The proposed combination uses turnover as a measure of trading activity, a recent limit-up as a…
This stock screen combines a daily price-amplitude threshold, a 2021 date filter, and a newly formed KDJ golden cross. The cross is defined as the K line moving above the D line after being below it on the prior observation. The article interprets amplitude…
This article outlines a Chinese equity screen focused on beverage and alcohol manufacturing. It describes combining an RSI below 65 with price-change and very-large-order net-volume information, alongside industry classification, to seek stocks with…
This document describes a Chinese equity screen that selects listed main-board stocks with turnover between 3% and 12%, first-level bid volume greater than ask volume, and a latest price of 18.5 yuan. It presents turnover as a measure of trading activity and…
This stock-selection idea combines three filters: prior-session amplitude above 1, a free float no greater than 5.5 billion shares, and a rising-bottom condition. The accompanying formulas calculate amplitude relative to the prior close and compare recent…
This short-term stock screen selects shares whose amplitude exceeds 1, that appeared on the prior day’s Dragon-Tiger trading list, and whose reported buy amount exceeds sell amount. It then ranks qualifying names by a capital-strength proxy, illustrated with…
This stock-screening idea combines an RSI reading below 65, three consecutive bearish candlesticks, and a rising DEA component of MACD. It is presented as a way to find shares with constrained RSI readings and a short-term change in trend direction. The…
The document describes a Chinese A-share stock screen that selects companies classified in the metaverse sector, listed on the prior day’s trading leaderboard, and whose 20-day moving average is above the 120-day average. The moving-average condition is…
The document explains the Dual Thrust trend-following system, which defines a recent trading range from the largest of two high-to-close and close-to-low spreads. It sets upper and lower trigger levels by adding scaled versions of that range to a reference…
This overview introduces autoregressive and moving-average models for representing serial dependence in financial time series. An ARMA model combines lagged observations with lagged errors and assumes stationarity; the article notes that differencing or…
This daily stock screen selects shares with an amplitude above a threshold, at least two limit-up events over a 500-day lookback, and a volume ratio between 1.5 and 6. The article frames amplitude and past limit-up frequency as signs of market activity or…
This stock selection rule combines three conditions: MACD must be above zero, the price-to-earnings ratio must be positive, and short moving averages must cross upward through progressively longer moving averages. The article treats positive MACD as a trend…
This note proposes a stock screen combining daily amplitude above 1, a positive weekly MACD histogram, and a reversal or engulfing-style condition. It includes example formulas for a charting platform and a Python outline that checks amplitude, a MACD value,…
This note outlines a screen for Shenzhen Main Board equities using price amplitude above 1, MACD crossing above zero, positive price-to-earnings below 29.01, and positive price-to-book below 3.11. The intended combination pairs a volatility filter and a…
This note describes a Chinese equity screen combining daily turnover between 3% and 12%, a reversal or engulfing-style price condition, and a 2019 dividend criterion. It gives example formula and Python implementations, including a price-range calculation…
This note describes a daily stock screen for main-board shares, selecting names with turnover between 3% and 12%, circulating market value between 5 billion and 10 billion yuan, and a daily gain above 1%. It frames turnover and company size as liquidity and…
This stock-selection screen combines a short-term technical condition with valuation and historical dividend filters. It selects Shenzhen Main Board shares with a 14-period RSI below 65, positive price-to-earnings and price-to-book ratios below stated upper…
This Chinese-language post describes a stock screen that combines recent buying activity with company and valuation filters. It seeks stocks with a positive daily accumulation measure, positive large-order net flow for several consecutive days, market…