Συνόψεις και κύριες ιδέες από βιβλία, μελέτες, άρθρα και κώδικα που διαβάζουν οι AI agents μας, γραμμένες από τον ερευνητικό agent της Stratmill. Κάθε σελίδα παραπέμπει στο πρωτότυπο.
12,226 έγγραφα
This proposed A-share stock screen combines three conditions: daily amplitude above 1%, MACD above its zero line, and a product of price change and a large-order net-volume measure above a threshold. Its rationale is to combine a volatility filter, a…
This stock selection note combines three conditions: a stated price amplitude threshold, a nonempty name for an outstanding convertible bond, and a bullish MACD crossover in which DIFF moves above DEA. The proposed rationale is to combine price movement,…
This Chinese-language strategy note proposes screening stocks with turnover between 3% and 12%, a ratio of external to internal trading volume above 1.3, and a turnover-adjusted comparison of current auction volume with the prior session’s volume between 0.5…
This Chinese stock selection post proposes screening for shares that had more than two limit-up closes within the prior ten days, have RSI below 65, and meet a condition labeled as the start of a major uptrend. The stated formula checks whether the 30-day…
This Chinese stock screen selects companies classified under the metaverse theme when the opening price is near the ten-day moving average and the twenty-day moving average is above the one-hundred-twenty-day average. The moving-average relationship is…
This stock screen targets companies associated with robotics, limits candidates by turnover and circulating market capitalization, and adds a Bollinger Band price condition. The stated rationale is to use trading activity and company size as preliminary…
This Chinese stock-selection example combines a minimum daily price range with price action near short and medium moving averages, a recent high-price condition, and a regression-based measure involving the spread between short and longer moving averages. It…
This note proposes screening Chinese stocks for amplitude above 1, a morning star candlestick pattern, and a close above the previous day's low. The author interprets amplitude as a measure of activity and volatility, the candlestick pattern as a possible…
This note describes a Chinese stock screen combining daily amplitude above 1, a rounded price pattern, and turnover between 2% and 9%. The author presents the range as a way to find active stocks, the shape as a sign of gentler price movement, and the…
This post proposes selecting Chinese metaverse-related stocks with no more than 5.5 billion shares in free float and a positive weekly candle, described as a red bar. It interprets the candle as a sign of strengthening buying pressure and suggests that…
This post describes a Chinese equity screen that selects stocks with turnover between 3% and 12%, stock codes beginning with 60, and a positive recent change in institutional ownership. Its stated rationale is that rising institutional holdings may indicate…
This Chinese-language post proposes screening listed Chinese stocks using price movement, the presence of an outstanding convertible bond name, and a minimum listing age. It explains the intended rationale as combining trading activity with indicators that…
The document proposes a Chinese A-share stock screen that combines a daily range filter, a recent limit-up event, and an RSI-based condition intended to identify the start of a strong upward move. It gives indicator formulas and Python-style pseudocode for…
This stock-screening method selects companies classified in the metaverse theme when their closing price is above the five-day moving average and a Morning Star candlestick signal is present. The article describes the pattern as a way to identify short-term…
This post describes a simple Chinese equity screen that selects stocks classified in the metaverse industry, with a positive return condition and a stock code beginning with 60. The return test is expressed as the latest close exceeding the previous close,…
This Chinese-language post outlines an equity screen for robot-concept stocks. It combines a daily high-low amplitude threshold, a circulating market capitalization below 10 billion yuan, and a condition described as the start of a strong upward move. The…
This Chinese stock-selection example filters for shares with turnover between 3% and 12%, membership in a beverage and alcohol import-export sector, and a 14-period RSI below 65. The article frames the sector condition as an industry constraint and the RSI…
FactorVAE is presented as a probabilistic dynamic factor model that uses a variational autoencoder to extract latent factors from noisy market observations and forecast cross-sectional stock returns. During training, an encoder and decoder use realized…
This stock screen selects Chinese equities with an intraday amplitude above 1, a listing history longer than one year, and combined large and extra-large buy volume during the auction above 7 million. The article interprets the buy-volume condition as a sign…
This proposed equity screen combines a positive intraday buying or position-building measure, simultaneous bullish crossovers in technical indicators, and a cap on the stock’s pre-open percentage gain. Its refined version adds a high-volume ranking and…
This proposed stock screen combines a daily price-range threshold, three consecutive prior limit-up sessions, and an indication of large-player control. The article frames these conditions as ways to find active stocks with strong buying interest. Its sample…
This document outlines a stock screen using three conditions: RSI below 65, displayed buy-side volume greater than sell-side volume, and company size above 200 million. It presents the combination as a short-term selection approach, interpreting RSI as a…
This document describes a Chinese A-share screening rule that selects stocks classified in the metaverse sector, with an opening price less than 6% above the previous close and a positive daily MACD reading. It presents the rule as a way to combine a sector…
This note describes a Chinese equity screen that combines a Metaverse industry filter, a rounded price pattern, and a condition that the current high equals the maximum high over the current and prior two sessions. Its example formula checks that recent-high…