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.
12,140 documents
This stock-selection note combines three technical filters: daily amplitude above a threshold, a positive weekly MACD histogram, and a close between the middle and upper Bollinger Bands. It characterizes the amplitude condition as a volatility screen, the…
This brief strategy description combines the Awesome Oscillator on a daily chart with the Stochastic Oscillator on an hourly chart. For a buy setup, it first waits for the higher-timeframe Awesome Oscillator to cross above zero, then looks for the…
This stock screen selects companies in the metaverse industry whose share price is above its five-day moving average and that have outstanding convertible bonds. The moving-average condition is intended to retain stocks showing short-term price strength; the…
This stock screen looks for turnover between 3% and 12%, at least one limit-up event in the prior 25 days, and no limit-up on the previous day. The stated rationale is to find liquid, actively followed stocks with a recent strong move, followed by a possible…
This stock-selection example combines three filters: daily amplitude above 1%, circulating shares no greater than 5.5 billion, and simultaneous bullish crossovers among 5-, 10-, and 20-day moving averages. The article describes calculating amplitude from the…
This stock-selection proposal combines three technical conditions: RSI below 65, a pattern described as the start of a major rise, and a shortening MACD histogram on a 15-minute interval. The article interprets the MACD condition as weakening downside…
This document describes a stock-selection rule that combines three signals: daily price amplitude above a threshold, a positive weekly MACD condition, and a positive product of price change and a large-order money-flow measure. It presents the rule as a way…
The author discusses whether AI stock selection discovers repeatable market patterns or earns returns because its chosen style happens to suit current conditions. The reported live and backtest observations suggest that alpha varies with market regime:…
This tutorial introduces TA-Lib as a tool for calculating technical indicators from price and volume series. It briefly describes candlestick patterns, moving averages, ADX, ATR, and On-Balance Volume, then demonstrates calculating a simple moving average…
This article outlines an equity screen requiring RSI below 65, a rising KDJ K value, and turnover between 3% and 12%. Its stated aim is to find stocks with relatively subdued RSI readings, improving short-term momentum, and moderate trading activity. The…
This article describes a Chinese equity screening rule combining a daily high–low range above 1%, a newly formed KDJ bullish crossover, and 2021 revenue more than 1.1 times 2018 revenue. It explains the intended rationale: favor stocks with price movement,…
This brief note describes a ribbon indicator built from a variation of the Hull moving average. Instead of comparing averages with different calculation periods, it uses the variation indicator’s speed property to create a ribbon that behaves somewhat like a…
This SuperTrend variation adapts its ATR multiplier to the ratio of current ATR to a smoothed ATR average, widening bands in relatively volatile conditions and narrowing them when volatility is subdued. It adds an ATR-based cushion beyond the band before…
This Chinese-language post outlines an A-share stock screen that excludes Beijing-listed shares, selects stocks with a high-low range above 1%, and looks for a weekly five-period moving average crossing above a ten-period average. It presents sample…
This post describes a basic A-share momentum screen that excludes Beijing-listed stocks and selects for daily amplitude above 1% and a closing price at the two-day high. It frames amplitude and market location as filters and the recent price high as a…
This post presents a daily, end-of-session A-share selection rule: retain stocks with MACD above zero and turnover between 3% and 12%, then rank them by market heat. It describes positive MACD as a trend filter and heat as a way to identify stocks attracting…
This document describes a short-term A-share screen combining turnover, recent price declines, and limit-up activity. It selects stocks with turnover between 3% and 12%, three consecutive falling sessions, and more than two limit-up days within the prior ten…
The article proposes screening stocks for a daily price range above 1%, no limit-up close on the previous day, and a positive gain over the preceding ten days below 35%. It presents the range as a way to find more active shares and treats the prior-day…
This document outlines a Chinese-equity screen requiring a stock to belong to the metaverse theme, have positive net buying attributed to major participants during the auction, and show a KDJ K value below 20. The post interprets the KDJ threshold as a weak…
The proposed screen selects stocks with turnover between 3% and 12%, a positive product of the daily price change and net volume attributed to very large orders, and a close above the Bollinger upper band. Its stated rationale is to combine active trading…
This stock screen targets companies classified in the metaverse industry. It selects shares where the KDJ indicator has just crossed upward and turnover is between 2% and 9%, with eligible securities checked before 10 a.m. for that day's trading. The…
This note describes a short-term Chinese stock screen using three conditions: amplitude above a stated threshold, a rising-bottom pattern, and more than two limit-up days within a ten-day window. Its stated rationale is to find shares with strong recent…
This note proposes screening stocks with RSI below 65, turnover between 3% and 12%, and shortening MACD histogram bars on a 15-minute chart. The rationale is to find stocks whose short-term decline may be easing, while using RSI to avoid highly extended…
This Chinese-language article outlines an equity screen combining a daily high-low range above one percent, weekly MACD above zero, and seven consecutive sessions in which each close is below the prior close. It frames the setup as a way to find stocks with…