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.
4,713 documents
The indicator combines a long-term channel with three shorter moving averages to identify trend direction, pullbacks, and potential continuation entries. It calculates an 89-period average and a channel whose width is based on an 89-period average of true…
This indicator describes market structure using two symmetric pivot windows: a faster internal scale and a slower external scale. It tracks recent pivot highs and lows, compares successive swings, and maintains a bullish or bearish state. A close through a…
This brief Chinese-language forum post asks how to identify stocks that break above a price level and then do not fall more than 10%. It suggests describing the breakout as a new 100-day high: compare the current high with the maximum high over the preceding…
This indicator calculates intraday pivot levels using fractions of a price range, drawing on an idea attributed to Austin Passamonte. Its default levels are set at 38% and 61% of the range. Users can change the parameters to use the Fibonacci-style levels…
This MQL5 indicator description outlines automated support and resistance trendlines with breakout detection. It lists real-time breakout alerts and chart arrows, a configurable pip threshold, and an adjustment feature that redraws trendlines after…
The indicator converts distance from the Donchian Channel midpoint into a bounded oscillator. It finds the highest and lowest prices over a lookback period, takes their midpoint, and smooths both the signed price distance from that midpoint and its absolute…
This Expert Advisor uses a price-extreme channel to generate trades. By default, a close above the upper channel boundary opens a long position, while a close below the lower boundary opens a short position. It checks signals on each new bar, closes opposing…
The indicator identifies flag and pennant formations, which are commonly interpreted as pauses after a strong price move before the earlier trend resumes. It uses linear regression to detect the trend and a channel to identify the intervening consolidation.…
This document outlines a short-term A-share screen for companies classified in the metaverse theme. It selects stocks that appeared on the prior day’s trading leaderboard, have current trading volume above the stated threshold, and open above the previous…
This Chinese A-share screening proposal combines a metaverse industry classification with relative trading volume and company-sector filters. Its final stated rules require volume ratio above 1.5 and below 6, an internet or high-technology classification, a…
This strategy uses the highest and lowest prices over a configurable number of recent bars to choose a trade direction. If the current bar sets the lookback high, it opens a buy; otherwise, it opens a sell. The premise is that prices often revisit recent…
This indicator method automates trendline drawing by locating pivot highs and lows, fitting separate linear regressions to those points, and iteratively retaining points on the relevant side of each fitted line. The resulting upper and lower lines aim to…
The Trend Risk indicator estimates a smoothed price and a smoothed high-low range, then uses a deviation multiplier to form upper and lower channel boundaries. A close above the upper boundary or below the lower boundary places the boundary value in a signal…
This proposed Chinese equity screen selects stocks in the metaverse sector that had at least one limit-up day during the preceding 25 days and traded more than 60 million yuan in value on the previous day. The article says to run the selection before 10 a.m.…
This Chinese equity screening proposal selects stocks with turnover between 3% and 12%, at least one limit-up move during the previous 25 days, and a positive weekly histogram condition. The accompanying explanation treats turnover as a measure of trading…
This GBP/JPY strategy enters in the direction of a Bollinger Band break. A long signal requires the candle’s open and close to be at or above the upper band, with the close above both a fast and a slow moving average. A short signal requires the open and…
This post outlines a Chinese A-share stock screen combining three conditions: rank stocks among the top 100 by volume ratio, look for a Bollinger Band pattern described as contraction or expansion, and require at least two limit-up sessions within ten days.…
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…
The strategy defines a recent price range from the highest high and lowest low over a lookback window. It places a buy stop above the range and a sell stop below it, with a configurable distance. When one order triggers, the other should be cancelled; after…
This short specification explains how a Renko chart is constructed and how a Donchian Channel is aligned to its bricks. The horizontal axis tracks the sequence of Renko bricks rather than elapsed time. Bricks are built from incoming bid ticks using the…
This document describes an intraday screen for Chinese equities. Its stated filters are turnover between 3% and 12%, at least one limit-up event in the previous 25 days, and exclusion of special-treatment stocks. It aims to identify candidates before 10 a.m.…
This description presents a Forex Expert Advisor that combines breakout trading with a Martin Gale style recovery money management approach. Its listed settings allocate portions of account balance to trading, take profit, and stop loss, and control when…
This example implements an intraday breakout strategy around the prior session’s high and low. It opens a long position when the latest price rises above the prior high and a short when it falls below the prior low, targeting a fixed position size in either…
This indicator uses a smoothed Z-score of closing prices to identify statistically stretched conditions, then measures the price range formed during the extreme. A move down through the oversold threshold arms a bullish box, while a move up through the…