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.
31,205 documents
This document describes an Expert Advisor that uses the TrendContinuation indicator to generate trade signals. It checks for a change in the indicator’s direction, identified by a color change, when a bar closes. The document also gives a setup note for…
This document describes a MetaTrader indicator that annotates candles with price gains or losses when a configured threshold is exceeded. It reports changes both in points and percentage, with two calculation modes: current close versus open, or current…
This note outlines a Chinese equity screen combining price amplitude above 1, exclusion of ST-designated stocks, selection before 10 a.m., a five-session price-pattern condition, and seven consecutive declining sessions. It provides formula and Python…
This Chinese stock-screening note describes selecting equities with turnover between 3% and 12%, seven consecutive declining sessions, and a closing price above the five-day moving average. Its formula and Python example also check that the latest close is…
This proposed Chinese equity screen selects main-board stocks whose codes begin with 60, with RSI below 65 and a daily gain above 1%. Its examples describe a technical filter that also checks a stochastic-style J/D crossover and proximity of the opening…
The Gann High Low Activator is described as a channel built from moving averages of prior-period highs and lows. The close determines which of the two curves is plotted, producing a line that can be used to track the boundary a price move would need to cross…
This note describes an A-share stock screen combining daily price amplitude above 1, a morning-star pattern, and positive price-to-earnings ratio. It presents the pattern as a short-term technical signal and positive P/E as a basic profitability filter. It…
This indicator description explains how to plot a moving average calculated on one timeframe over a chart using another timeframe. It lists inputs for the calculation period and method, the applied price, the calculation timeframe, and the drawing mode. The…
This Chinese A-share screening proposal targets stocks in the metaverse concept group. It requires the closing price to exceed its five-day moving average and applies a bounded filter based on prior-day turnover and current auction volume relative to traded…
This article outlines a Chinese A-share stock screen beginning with companies classified in a metaverse sector, positive recent returns, and a daily high-low range greater than one percent of the prior close. It then proposes refining the selection to stocks…
Moving Average Bands Width (MABW) is described as a volatility indicator based on the percentage distance between moving average bands. Wider bands correspond to rising volatility, while narrower bands correspond to declining volatility. Changes in width may…
This indicator combines smoothed Heiken-Ashi candles with two color-filled channels. The channels are based on mean-square deviations calculated from the indicator candles’ highs and lows. Its configurable parameters include the smoothing method and depth, a…
This note describes a modified MACD that smooths a normalized version of the indicator and adds bounds based on minimum and maximum values. It briefly reviews conventional MACD, formed from the difference between fast and slow exponential moving averages,…
This A-share stock selection approach first screens for turnover between 3% and 12%, market capitalization below 10 billion yuan, and companies without losses. It then selects shares whose previous closing price is above the 250-day moving average. The…
Aegis Quantum Lite is described as an educational MetaTrader 5 expert advisor using completed-candle signals. It opens a buy when the fast exponential moving average is above the slow average and RSI exceeds its configured buy threshold; a sell uses the…
This A-share screening idea combines a price-range condition, a short-term trend filter, and a measure that relates yesterday’s turnover to today’s auction volume versus yesterday’s volume. It selects stocks whose average price is above the five-day moving…
The document outlines a Chinese stock screen requiring daily high-low amplitude above 1%, a positive measure of prior-day main-fund flow, and RSI below 65, with the formula reference specifying a three-period RSI. It presents these conditions as a way to…
The document proposes screening Chinese stocks with RSI below 65, seven consecutive down sessions, and large-order net flow above 0.05 for at least three consecutive days. Its final version adds a market-capitalization range of 5–10 billion yuan, while the…
This proposed Chinese equity screen selects stocks with a 14-period RSI below 65 and first-level buy volume greater than first-level sell volume, while excluding Beijing-listed shares. The article interprets RSI as a price-condition indicator and the…
This stock screen combines turnover, recent price change, and the ratio of externally classified to internally classified trading volume. Its stated criteria are turnover from 3% to 12%, a positive ten-day gain below 35%, and an outside-to-inside volume…
The document describes a trailing stop built from the Average True Range (ATR). It places a candidate stop a multiple of ATR below the closing price during an uptrend and above it during a downtrend. The example uses a 14-period ATR multiplied by 3.5, while…
This indicator uses a modified weighted moving average and a smoothed version of that average to locate candidate turning points. When the two lines cross, it records a recent local low or high, using a shorter lookback based on a fraction of the…
The document presents a Chinese equities screening idea: select stocks with turnover between 3% and 12%, a positive return over the prior 10 days below 35%, and an opening price near the 10-day moving average. Its example code adds further filters, including…
The document describes a variation on the Commodity Channel Index (CCI) intended to reduce its rapid, jagged movements. Instead of smoothing the finished CCI series, it filters the input prices first and then calculates CCI from those filtered prices. The…