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 note presents a technical screen for Chinese stocks using daily amplitude above 1, a rounded or arc-like candle pattern, and a MACD reading below zero from two days earlier. It explains the amplitude condition as a way to find stocks with notable price…
This brief indicator description explains a channel built around percentage price deviation. Its width is controlled by a percentage setting, and the channel is displayed as a filled background or cloud. The document identifies an original author and says…
This post outlines an A-share stock screen using three conditions: a daily high-low range above a threshold, a nonempty convertible-bond name field, and a positive but capped return over ten days. It presents both an indicator-formula example and a Python…
This post describes an A-share screening recipe combining a price-range condition, exclusion of stocks marked ST, a five-session closing-high condition, and a limit on the stock’s price increase at 9:25. It also says to select stocks before 10:00. The…
The document describes an Expert Advisor that uses recent Bollinger Band Width values in a neural network method. Band Width is presented as the percentage spread between the upper and lower Bollinger Bands, normalized by the middle band in the…
The document describes an oscillator that measures price deviations from a moving average (MA). Its configurable inputs are the MA period, calculation method, applied price, and frame size. Within each frame, the indicator searches for the largest deviation…
The document proposes a China A-share screening rule focused on companies classified in the metaverse industry. Its initial filters include a limit on tradable share count and a positive MACD reading. A later version adds a market-cap ceiling and selects…
This stock-selection proposal filters for main-board shares with turnover between 3% and 12%, a daily gain above 1%, and a newly formed KDJ golden cross. The accompanying Python example checks recent K and D values for a crossover and adds a J-value…
The document proposes a stock screen using three conditions: daily high-to-low amplitude above 1%, a K-line-related value below 20, and prior-day turnover above 8%. It frames amplitude as a volatility filter, the K-line threshold as a low-position condition,…
This A-share stock screen combines a volatility condition, a weekly moving-average crossover, and positive daily price action. It seeks stocks with amplitude above 1, a weekly MA5 crossing above MA10, and a daily gain greater than 1%, while restricting the…
The document describes a trading system that combines the Alligator indicator with Fractals. Its basic entry idea is to detect a particular grouping of Alligator lines and confirm the signal with a fractal. The system also offers configurable indicator exits…
The post describes a Chinese equity screening rule combining daily price movement, circulating market capitalization, and a rounded or arc-shaped chart pattern. Its stated conditions are amplitude above 1, circulating market value above 10 billion yuan, and…
The document describes a chart display modification for the Parabolic SAR indicator. It adds a filled area between price and the SAR line, making the gap between them easier to see at a glance. It also draws a rectangle on the right side of the chart that…
This Chinese stock-screening proposal combines three characteristics: at least five moving averages converging near one another, a preferred enterprise type, and at least two limit-up sessions within a 500-day lookback. The article interprets moving-average…
The document outlines a Chinese A-share screening idea focused on stocks classified in the metaverse theme. Its initial conditions are turnover above 8% on the previous day and an increase in the K value of the KDJ indicator. The final stated rule adds a…
This indicator adapts MACD by filtering price observations according to trading volume. It updates an analysis buffer only when current tick volume exceeds its average, then calculates the moving averages from the retained data. The intended idea is to give…
This note presents a proposed screen for Shenzhen main-board shares that excludes Beijing-listed A-shares. Its initial conditions limit price-to-earnings and price-to-book ratios to stated ranges and require daily high-low amplitude above a threshold. An…
This note describes a Chinese A-share screen requiring an RSI below 65 and seven consecutive sessions in which the close is no higher than the open, followed by a ranking based on a stock popularity measure. It outlines the intended use of technical…
This expert advisor uses the standard MACD indicator to generate directional entry signals. It marks a buy condition when the MACD main line has declined or remained level across the three most recent indexed readings, and a sell condition when those…
This indicator replaces the moving averages in MACD with QWMA, a parameterized average whose speed setting changes its weighting behavior. The document describes speed 0 as equivalent to a simple moving average, speed 1 as equivalent to a linear weighted…
This Chinese-language post outlines a daily stock selection screen based on three filters: rank stocks by trading volume or a stated measure of capital strength, keep those whose gain at 9:25 is below 6%, and require at least two limit-up sessions in the…
This stock-selection proposal combines three filters: a large high-low range, at least one daily gain of 10% or more in the preceding 25 trading days, and a ranking by capital or fund-flow strength. The intended effect is to find volatile stocks that have…
The document discusses ICT and Smart Money Concept interpretations of market structure, contrasting a fractal view of price action with static pivot levels and Donchian channel boundaries. Donchian channels use the highest high and lowest low over a chosen…
The post describes a Chinese A-share selection rule combining membership in a metaverse-related category, high recent turnover, and a recent limit-up event. Its stated intent is to find actively traded stocks attracting attention and showing evidence of…