আমাদের AI এজেন্টরা যে বই, গবেষণাপত্র, নিবন্ধ ও কোড পড়েছে, সেগুলোর সারাংশ ও মূল ধারণা লিখেছে Stratmill-এর গবেষণা এজেন্ট। প্রতিটি পাতায় মূল উৎসের লিংক রয়েছে।
12,226টি নথি
This Chinese equity screening proposal combines a daily price range above 1%, a ratio formed from the previous day’s turnover rate and the current auction volume relative to the previous day’s volume between 0.5 and 2, and a positive price-to-earnings ratio.…
This Chinese stock screen combines a 14-period RSI below 65, a ranking by individual-stock heat, and a limit on the 9:25 a.m. price gain of less than 6%. The article describes the heat ranking as a way to prioritize relatively active stocks and presents the…
This Chinese equity screen combines clustered moving averages, a positive weekly MACD reading, and prior limit-up activity. The article’s final version specifies six averages—5, 10, 20, 50, 100, and 200 days—with at least six clustered, weekly MACD lines…
This Chinese equity screening proposal combines three filters: daily price range above 1%, more than one year since listing, and circulating shares no greater than 5.5 billion. The text presents price range as a way to find active stocks, listing age as a…
The document proposes a Chinese equity screening rule that combines a daily price range greater than one percent, a high equal to the highest level across two days, and an opening gain below six percent. It presents these as short-term technical and timing…
This document outlines a Chinese equity screen combining membership in the metaverse theme with a price above its 250-day moving average and turnover between 2% and 9%. The stated rationale is to focus on a popular sector, favor stocks trading above a…
This proposed Chinese stock screen combines trading activity, opening behavior, and recent price-limit events. It selects stocks with more than two limit-up sessions during the prior ten days, an indicated 9:25 a.m. price rise below 6%, and high capital…
This proposed equity screen looks for stocks related to the metaverse that have daily price amplitude above 1 and have been listed for a minimum period. The accompanying example operationalizes the listing-age condition as at least 365 calendar days. It…
This Chinese equity screen combines three criteria: a dividend payout ratio above 25% in 2019, at least one limit-up session in the prior 25 days, and ranking by capital strength from high to low. The post interprets capital strength as a measure of inflows…
This stock screen combines three filters: RSI below 65, weekly MACD above zero, and strong gains during 2021. The document presents these as signs of favorable technical conditions and positive price momentum. Its sample Python outline calculates RSI and…
This proposed Chinese equity screen selects stocks with turnover between 3% and 12%, three consecutive declining sessions, and an association with the metaverse theme. The author frames the falling-price pattern as a way to identify stocks with possible…
This post proposes a Chinese stock screen using three conditions: amplitude above one, a previous-day 9:15 matched price at the limit-down level, and a weekly price crossover of the 30-week moving average. It describes large amplitude as a source of…
This Chinese-language post presents an A-share stock screen combining MACD above zero, a claim of main-fund control on the previous day, and positive daily MACD. It interprets positive MACD readings as signs of upward movement and suggests tightening the…
This post describes a Chinese stock-selection screen that selects companies classified in a metaverse industry group, requires a positive return condition, and filters for a 20-day moving average above the 120-day moving average. It presents the…
The document describes a daily stock screen requiring a trading range greater than 1% of the opening price, a code beginning with 60, and a positive MACD value. It presents the filter as a way to find more volatile stocks in a particular market segment with…
This Chinese-language note shows a calculation for plotting a fund’s annualized return through time from historical daily closing prices. It retrieves trading-day bars for a specified fund, compares each later close with the initial close to obtain…
This document outlines a Chinese-equity selection idea using RSI below 65, price change combined with net large-order flow, exclusion of specially treated stocks, and a limit-up style condition. Its code example also filters for positive valuation fields and…
This document describes a Chinese-equity screening rule that combines an RSI reading below 65, the product of price change and net large-order volume, current trading volume above 10,000 lots, and a higher opening price. It presents these as technical,…
This post presents an A-share stock screen combining a daily price-range condition, an opening price near the ten-day moving average, and a dividend measure above a stated threshold for 2019. It supplies example formulas and Python-style logic for…
This article describes a Chinese stock screen that looks for turnover between 3% and 12%, at least one limit-up day in the prior 25 days, and a rising price base. Its rationale is that active trading and a recent sharp advance may identify stocks with upward…
The article presents a Chinese stock selection screen combining daily price movement with a weekly trend signal. It selects stocks with an amplitude above 1 and a 10-day gain between 0 and 35, then looks for a positive weekly MACD histogram. The rationale is…
This document describes a stock screen for the metaverse sector that looks for a limit-up event within a recent 25-day window and a current low below the prior session’s low. It interprets the earlier limit-up as a sign of market attention and the lower low…
This document proposes screening stocks in the metaverse sector using a rounded, arc-like price pattern and three consecutive declining sessions. It frames the pattern as a possible sign of accumulation or a developing rebound, while treating the run of down…
This Chinese-language post proposes an equity screen combining price movement, profitability, and revenue growth. It selects stocks with a high-low range exceeding the 14-period ATR, return on equity above 15% for five consecutive years, and revenue growth…