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.
79,386 documents
This description outlines an Expert Advisor that trades signals from a custom price-channel indicator. The indicator supplies two types of buy entry signals, two types of sell entry signals, and separate signals to close long and short positions. The EA has…
This Expert Advisor implements a Relative Moving Average framework that ranks the latest close within a trailing window’s return distribution, producing a fractile between zero and one. Instead of using price distances, its rules trade movements between…
This stock selection rule combines three daily conditions: price range exceeds 1%, the KDJ indicator has just formed a bullish crossover, and the day’s high matches the highest high over the current and previous day. The article presents the combination as a…
This brief description introduces MaksiGen_Range_Move, an indicator intended to identify flat market conditions. Its stated rule is visual: when price remains inside the indicator’s dotted channel, the market is considered flat. The document gives no…
The document describes a Donchian Channel indicator displayed as a filled cloud. It adds price labels for the latest channel values and lets users round channel levels to a chosen number of digits. A price grid is also drawn using those rounded levels, so…
The document describes an equilibrium level derived from the Directional Movement Indicator. It attributes the concept to Welles Wilder and presents crossings between positive and negative directional indicators as important points for judging a commodity…
This stock-screening note proposes selecting companies in the metaverse sector whose latest price return is positive and whose stated circulating share count is at or below a specified threshold. It explains that free-float shares describe stock available…
This Chinese stock-selection post proposes combining daily price amplitude, a ranking based on net large-order volume, and a candlestick pattern described as a morning star. It presents these conditions as a way to find active stocks with short-term momentum…
This research summary compares common stock-selection factors in the U.S. and Chinese markets, with a test of seven factor groups and 24 signals in the Russell 3000 universe. It reports that profitability, valuation, and growth measures were among the…
This Chinese stock-screening note describes a rules-based screen for metaverse stocks. Its stated conditions combine a price above the 250-day moving average with a weekly five-period moving average crossing above the ten-period average. The screen is…
The Disparity Index expresses the closing price's percentage deviation from an exponential moving average over a selected period. Its formula subtracts the average from the close, divides by the average, and multiplies by one hundred. The document includes…
The document outlines a Chinese equity screen intended to run before 10 a.m. It selects stocks with intraday amplitude of at least one percent, market capitalization no greater than 10 billion yuan, positive net profit, and no special-treatment designation.…
Williams Accumulation/Distribution (W_A/D) is described as a running total of price movement intended to reflect whether buyers or sellers are in control. Its value changes according to the relationship between the current and previous closing prices, using…
This Chinese stock-screening note begins with three technical conditions: amplitude above 1, a KDJ value below 20, and positive daily MACD. It presents these as a way to find shares with subdued short-term readings alongside a positive MACD signal. It then…
This Chinese stock-screening note combines a price-amplitude filter with a volume and turnover condition. It describes selecting shares whose amplitude exceeds 1 and whose prior-day turnover multiplied by the ratio of current auction volume to prior-day…
This Chinese stock-screening note proposes selecting main-board shares with an RSI below 65, a daily gain above 1%, and total market capitalization above 200 million. It frames the RSI threshold as a way to find shares with room to rebound, the daily gain as…
This stock-selection recipe begins with shares whose 9:25 a.m. price gain is below 6%, circulating market capitalization is above 10 billion yuan, and volume ratio ranks among the top 100. The explanation frames the volume measure as a way to find actively…
This Chinese equity screening approach combines three conditions: price amplitude above 1%, afternoon large-order net inflow, and the 20-day moving average above the 120-day moving average. The article interprets the shorter average as more responsive to…
This stock screen combines a 14-period RSI below 65, a daily gain above 1%, and positive institutional flow, while limiting candidates to main-board shares. The accompanying explanation presents RSI as a gauge of market sentiment, daily price change as a…
This guide explains how advanced users can run Lumibot backtests with their own historical data. It supports intraday and daily testing and describes assets including stocks, futures, cryptocurrency, and foreign exchange. Input data must be converted into a…
The document explains the Hull Moving Average as a method intended to make a moving average more responsive while retaining smoothness. Its calculation applies a weighted moving average to a weighted combination: twice the half-period average minus the…
This MetaTrader Expert Advisor uses the Ichimoku Kinko Hyo indicator and changes position size after a losing trade. The loss is detected through trade-transaction events when an exit deal is recorded. The next position is opened with increased volume, but…
The document describes a Chinese equity screening strategy that combines a 14-period RSI below 65, upward-diverging moving averages, and strong returns during 2021. Its proposed refinement broadens the historical-return cutoff to the top 30% and allocates…
The note describes a Chinese stock screen using a turnover ratio between 3% and 12%, a circulating share count no greater than 5.5 billion shares, and positive net large-order flow in the afternoon. Its accompanying Python example applies corresponding…