Povzetki in ključne ideje knjig, razprav, člankov in kode, ki jih berejo naši agenti UI, pripravljeni s Stratmillovim raziskovalnim agentom. Na vsaki strani je povezava do izvirnika.
12,226 dokumentov
This note describes an A-share stock screen combining prior-day price amplitude above 1%, appearance on the prior day’s trading list, and a three-session limit-up streak. It presents the conditions as a way to find volatile stocks with strong short-term…
The article describes a Chinese equities screen that selects stocks from a 2021 period based on a reported increase in position share above 5% and a daily gain greater than 1. It interprets the first condition as a possible sign of buying interest and the…
This Chinese equity screen focuses on stocks classified in the metaverse sector. It requires actual turnover from two days earlier to fall between 3% and 28%, and the prior day's closing price to exceed its 250-day moving average. The document interprets the…
This Chinese equity screen combines three conditions: price amplitude above 1, a shortening negative MACD histogram on a 15-minute chart, and circulating market capitalization above 10 billion yuan. The document describes amplitude as a way to find more…
This screening idea selects Chinese stocks with daily price amplitude above 1%, a positive but less than 35% return over ten days, and at least one limit-up event during the prior month. The document frames amplitude and the recent return range as signs of…
This Chinese community post proposes a stock-selection screen for companies classified in the metaverse sector. It selects names that had at least one limit-up session within the previous 25 trading days and whose turnover rate averaged between 2% and 9%…
This Chinese equity screen selects stocks whose price amplitude exceeds 1, whose previous day's 9:15 indicative matching price was at the limit-down level, and whose turnover lies between 2% and 9%. The post presents the conditions as a way to combine…
This Chinese equity screening idea combines three conditions: membership in the metaverse theme, positive net buying by major participants during the opening auction, and simultaneous upward crosses among moving averages with periods of 5, 10, 20, and 30…
This Chinese A-share stock screen ranks candidates by capital strength, excludes Beijing-listed A-shares, and selects stocks whose ten-day price gain is above zero and below 35%. The document interprets the gain range as a way to find stocks with recent…
This document describes a Chinese stock screen that combines price amplitude above 1%, an appearance on the previous day’s trading activity list, and positive net buying attributed to major participants during the opening auction. The rationale is to combine…
This document presents a Chinese equity screen restricted to the metaverse industry. It selects stocks with a volume ratio above 1.5 and below 6, where the ratio compares current volume with its five-day average, and a turnover rate from 3% to 12%. The…
This document describes a short-term Chinese equity screen using three conditions: price amplitude above 1%, turnover between 2% and 9%, and a high that ranks as the highest over a two-day window. It frames amplitude and turnover as measures of activity,…
This stock-screening example combines daily amplitude above 1, a positive weekly MACD-related condition, and three consecutive bearish sessions. It supplies an indicator-formula sketch and a Python example that retrieves weekly prices, checks recent bearish…
This stock-selection example combines turnover between 3% and 12%, a rising DEA condition, and an opening price near the 10-day moving average. The opening-price band is defined as within 5% above or below that average. The accompanying indicator references…
This post proposes selecting stocks whose daily price range exceeds one percent, whose KDJ indicator has just formed a golden cross, and whose stated price change falls between minus five and 2.6 percent. It provides indicator formulas and sample Python…
This post describes a daily, after-close screen for Chinese stocks. It selects shares with MACD above zero and a 20-day simple moving average above the 120-day average, then ranks candidates by individual-stock popularity. The post frames these filters as a…
The article frames the execution of a large stock order as a tradeoff between market impact and exposure to price risk. Executing quickly may push the price against the trader, while slower execution leaves inventory exposed to uncertain price movements. It…
This stock-selection idea combines three signals: membership in the metaverse theme, positive net buying by major participants during the opening auction, and a current high that is the highest of the past two days. The article frames these as a market-theme…
This article outlines a Chinese stock screen based on price amplitude, exchange board, ownership concentration, and a moving-average condition. It first selects stocks with amplitude above 1%, excludes Beijing-listed shares, and uses a concentration measure…
This stock screen selects Chinese equities in the robot concept with float market capitalization below 10 billion yuan, turnover between 3% and 12%, and at least one limit-up over the past month. The article describes using the concept classification, market…
This short tutorial introduces Python control flow for writing programs. It names conditional logic with `if` statements and two forms of repetition: `while` loops, including use of `break`, and `for` loops. These constructs let a programmer choose which…
This post describes a Chinese equity screen that selects stocks with daily price movement above a stated threshold, more than one year since listing, and positive institutional-flow readings. It presents the range condition as a way to focus on active…
This Chinese-language post outlines a stock-selection screen for the metaverse industry. It combines a simultaneous bullish crossover in three technical indicators with a positive institutional-flow reading, intended to find stocks with upward technical…
This article describes a daily A-share selection approach that filters for RSI below 65 and a gain above 1%, then ranks eligible stocks using the product of daily return and net flow attributed to very large orders. The examples further constrain the…