Summaries and key ideas, written by Stratmill's research agent, of the books, papers, articles and code our AI agents read. Each page links to its original.
22,592 documents
This stock-screening idea selects shares with RSI below 65, free-float market value between 5 and 10 billion yuan, and daily price amplitude above 1%. The article explains the intended roles of the filters: RSI indicates short-term overbought or oversold…
The proposed stock screen selects shares with daily amplitude above a threshold, a weekly five-period moving average crossing above the ten-period average, and an appearance on the prior day’s exchange trading-activity list. The rationale combines price…
This post proposes a stock screen combining three conditions: relatively strong trading activity, a nonempty convertible-bond-related name field, and a shortening negative MACD histogram on a 15-minute chart. The author interprets the histogram condition as…
This post outlines a daily pre-market screen for Shenzhen main-board shares. It selects stocks with MACD above zero and positive earnings, then applies valuation bands: price-to-earnings from zero to 29.01 and price-to-book from zero to 3.11. The stated…
This report describes a process for choosing equity factors and turning them into portfolios. It first narrows a larger set of candidate factors by weighing their correlations, volatility, cumulative returns, Sharpe ratios, and economic rationale. It then…
This stock screen combines technical filters with valuation limits for Shenzhen main-board listings. It selects shares with RSI below 65, price-to-earnings ratios between zero and 29.01, price-to-book ratios between zero and 3.11, and a 30-day moving average…
This stock-selection method requires a minimum daily price range, prior-day trading turnover above a stated threshold, and positive large-order net flow for at least three consecutive days. The article frames range as a measure of movement, turnover as a…
This short platform discussion presents a manual construction of the KDJ oscillator alongside built-in KDJ functions. It first derives the raw stochastic value from the close’s position within the rolling ten-period high-low range. It then applies smoothing…
This document describes a stock screen combining a positive MACD reading, a same-day upward spread between moving averages, and an intraday price range above a threshold. Its example calculates exponential averages to form MACD, compares five- and ten-day…
The document proposes a Chinese stock screen combining four criteria: daily high-low amplitude above 1%, prior-day trading volume above 60 million, market capitalization below 10 billion, and positive net profits over the previous three years. It presents…
This Chinese equity screen looks for shares priced below 12 yuan whose MACD is above zero while its value two trading sessions earlier was below zero. The stated intent is to find a recent move from negative to positive MACD territory while imposing a low…
This stock screen selects shares with a daily price change above 1%, more than one year since listing, and a positive price-to-earnings ratio. Its rationale is that larger daily moves may indicate active trading, while a longer listing history may exclude…
This post proposes screening main-board stocks using a combination of price range, a streak of consecutive limit-up sessions on the prior day, and a current-day gain above a stated threshold. It presents the conditions as a way to focus on volatile stocks…
This Chinese-language post describes an equity screening idea that combines a named “morning star” signal for Kute Intelligent with a condition requiring the 20-day moving average to exceed the 120-day moving average. It frames both as technical-analysis…
This tutorial shows how to test a long-only strategy that combines daily and weekly relative strength index readings with a stack of moving averages. It uses daily price bars as the base data, resamples them to weekly intervals to calculate the…
This stock-selection screen combines a minimum daily amplitude threshold with a minimum circulating market capitalization, then ranks qualifying shares by a popularity measure. The stated rationale is to focus on stocks that show price movement, have a…
This proposed A-share screen looks for companies with turnover between 3% and 12%, market capitalization below 10 billion yuan, and no reported losses, then selects stocks whose prior-day 9:15 indicative matching price was at the lower price limit. The…
This stock-selection idea combines an amplitude threshold, weekly MACD conditions, and a three-candle pattern described as the Kute Smart morning star. The proposed screen seeks Chinese equities whose weekly MACD is above zero and whose recent candles match…
This A-share screening idea pairs an RSI below 65 with seven consecutive sessions in which the close is below the open, plus a revenue comparison requiring 2021 revenue to exceed 2018 revenue by more than 10%. The article frames RSI as a check against…
This A-share selection method combines an RSI below 65 with a circulating market capitalization between 5 billion and 10 billion yuan, a price-to-earnings ratio no greater than 40, and a ratio of prior turnover multiplied by current opening-auction volume…
This document outlines an A-share stock screen built around five moving averages, a share-price threshold, market capitalization, and positive earnings. It describes the overlap of five averages as a way to favor comparatively stable prices, then adds size…
This stock-selection rule combines three conditions: daily price amplitude above a threshold, circulating shares at or below a stated limit, and a shortening negative MACD histogram on a 15-minute interval. The proposed interpretation is that a wide range…
This note describes a stock screen for companies in the metaverse theme with circulating market capitalization above a stated threshold, ranked by individual stock popularity. Its rationale is that ranking by attention may surface securities attracting…
This document describes a Chinese stock screening rule combining turnover between 3% and 12%, three consecutive down sessions, and successively higher daily lows. It provides indicator and Python examples intended to identify shares that have pulled back…