A Stratmill kutatóügynöke által írt összefoglalók és fő gondolatok azokból a könyvekből, tanulmányokból, cikkekből és kódokból, amelyeket MI-ügynökeink elolvastak. Minden oldal az eredeti műre mutat.
Dokumentumok száma: 12,226
This document outlines a China A-share stock selection strategy using market, size, and book-to-market factors. It starts with constituents of a benchmark index, filters out stocks that are suspended or marked as special treatment, and uses a historical…
This document describes a short-term Chinese equity screen using three conditions: turnover within a specified band, appearance on the prior day’s Dragon-Tiger list, and a positive but capped return over the preceding ten days. It presents the screen as a…
This document explains industry rotation as a strategy that shifts equity exposure toward sectors showing stronger performance and may reduce equity holdings when conditions look unfavorable. It discusses possible drivers, including economic cycles, policy,…
The document proposes a stock screen combining a 14-period RSI below 65, three consecutive declining sessions, and positive afternoon large-order net inflow. It frames the filters as a blend of technical conditions and money-flow information, intended to…
This example describes a screen for Chinese stocks associated with the metaverse theme. Its stated conditions include a relative-volume range, a low K-line measure, and, in the final version, a market-capitalization ceiling. The article frames the…
This Chinese A-share screening example combines a positive MACD reading with an upward-moving-average condition and a limit on the stock’s price change around the market open. It describes the intended interpretation as selecting stocks with upward momentum…
This A-share screening idea combines a daily net-buying condition with two trend filters: today’s position increase must exceed 5%, the weekly close must cross above its 30-week average, and the 20-day moving average must be above the 120-day average. The…
This A-share stock screen combines three conditions: RSI below 65, an external-to-internal trade-volume ratio above 1.3, and a positive daily MACD measure. The text interprets the RSI threshold as avoiding an overbought reading, the trade ratio as a sign of…
The strategy screens Chinese stocks using three conditions: price amplitude above 1, tradable share float no greater than 5.5 billion shares, and a positive return over the prior seven trading sessions. It describes the amplitude and positive return filters…
This Chinese stock-screening proposal selects companies associated with the metaverse theme, showing a custom arc-shaped price pattern, and with MACD below zero two sessions earlier. Its final stated rules add a price-to-book ratio no greater than 3. The…
This Chinese A-share screening idea combines an RSI reading below 65 with a circulating market capitalization between 5 billion and 10 billion yuan and a recent run of three consecutive limit-up sessions. The accompanying examples describe calculating RSI…
This post describes a daily stock screen that combines three conditions: a price range threshold, prior-day turnover within a specified band, and a positive daily MACD value. The stated rationale is to combine price movement and trading activity with a trend…
This post proposes placing A-shares in a candidate pool when their daily high-low range exceeds 1%, the observation falls in 2021, and MACD is above zero. It interprets the range condition as a sign of greater price movement and positive MACD as a…
This community post proposes screening A-shares by turnover, market capitalization, profitability, and whether a stock appeared on the previous day’s securities ranking list. The stated criteria are turnover between 3% and 12%, market capitalization below 10…
This China-market stock screen selects shares with turnover between 3% and 12%, at least one limit-up event in the prior 25 days, and a positive price-to-earnings ratio. The stated rationale is to combine liquidity, recent market attention, and a basic…
This article examines stop-loss decisions in frequently trading strategies, especially market making. It describes a method that adjusts order submission probabilities when market direction appears unfavorable, cancels resting orders, and tracks the…
This note proposes screening stocks associated with China’s metaverse sector for three simultaneous bullish technical crossovers: MACD over its signal line, the five-day average over the ten-day average, and the five-day average over the twenty-day average.…
This note describes a Chinese equity screen combining prior-day price amplitude, appearance on a market trading list, market capitalization below the stated ceiling, and positive recent profit and return on equity. Its rationale is to find active stocks with…
This post describes a Chinese-market stock screen that selects mainboard shares with turnover between 3% and 12%, a daily gain above 1%, and a previous-day 9:15 matched price at the limit down. Its rationale is that moderate turnover and positive current…
This post describes a Chinese equity screen combining a prior-session price-range condition, a cap on freely tradable shares, and a minimum previous-day trading value. The stated purpose is to find stocks with both some price movement and enough trading…
This post describes a daily stock screen for main-board shares using three conditions: RSI below 65, a gain greater than 1% for the day, and daily MACD above zero. It frames the filters as a way to find stocks with positive recent movement while avoiding…
This post outlines an equity screen using three conditions: daily price amplitude above 1%, tradable share float no greater than 5.5 billion shares, and a positive change in the K component of the KDJ indicator. It frames the filters as a way to find more…
This Chinese stock-selection post proposes screening A-shares for turnover between 3% and 12%, a newly formed KDJ bullish crossover, and a positive 10-day price change below 35%. It provides indicator formula references and a Python example that loops over…
This stock-screening idea combines three filters: at least five moving averages converging, high individual-stock popularity, and a market capitalization below 10 billion yuan with no reported losses. The post interprets moving-average convergence as a…