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 brief description introduces a linear regression indicator for estimating prices from historical observations. It says the indicator fits a straight line to price points using the least-squares method, with the number of bars as an input parameter. A…
This note outlines an equity selection approach that filters for price amplitude above 1%, ranks stocks by market heat, and restricts the sample to trading dates in 2021. It explains amplitude as a sign of trading activity and treats high ranking by…
This note describes an A-share stock screen using a turnover ratio between 3% and 12%, at least one limit-up event in the previous 25 days, and exclusion of the STAR Market. It presents the criteria as a way to find moderately traded stocks with recent sharp…
OscSAR_Histogram displays the difference between the closing price and the iSAR indicator as a colored histogram, with the difference expressed in points. This provides a visual measure of how far the close is from the Parabolic SAR value; the document does…
This indicator adapts Williams Percent Range by calculating separate values for the open, close, high, and low, then combining them into a candle-style display. Its calculation differs from the standard WPR formula so that each of the four price inputs can…
This stock-screening approach combines a daily amplitude threshold with weekly MACD conditions: MACD should be above zero, and its histogram should be positive and growing relative to the prior week. The document describes these as a way to identify stocks…
The document describes a Chinese equity screen that ranks stocks by reported capital-flow strength and selects those with more than two limit-up sessions in the past ten days and a rising 30-day moving average. It presents the flow measure as a proxy for…
The post describes a stock-selection screen that combines daily price range, opening-auction trading amount, and recent limit-up frequency. Its stated final logic adds a recent low-amplitude condition: select stocks with amplitude above one, rank among the…
The M1MA indicator estimates an effective price for each chart bar by averaging price data from the corresponding one-minute bars. It is intended for timeframes of five minutes or higher, with intraday charts recommended. The result is presented as an…
This A-share stock screen combines a technical condition with company earnings growth and a basic price check. It selects stocks with RSI below 65, year-over-year growth in net profit attributable to parent-company shareholders above 20% and no greater than…
The indicator displays the direction or trade signal produced by a separate METRO stochastic signal indicator, calculated on a selected timeframe. A round symbol denotes continuation of the current trend at the chosen bar, while a directional arrow marks a…
This indicator combines 20-period Bollinger Bands with a 14-period ADX reading to adjust trailing-stop locations and the width of a possible turning or ranging zone. ADX is scaled and capped to produce a trend-strength factor: stronger readings move the…
This note describes a Chinese stock screen that combines price and volume conditions. It seeks shares with amplitude above 1, a rising price bottom, current trading volume above 10,000 lots, and an opening price more than 3 percent above the previous close.…
This note outlines a Chinese equity screen for companies associated with the metaverse theme. It looks for a limit-up session within the preceding 25 trading days and a current control ratio above 21 percent. The stated rationale is to combine a recent…
This note describes a short-term Chinese stock screen combining price movement with recent momentum. It selects shares with an amplitude above 1, a positive but limited ten-day gain, and three consecutive limit-up sessions on the previous day. The…
This post describes a Chinese A-share screening rule that combines daily price movement, company size, profitability, and opening-auction turnover. It selects stocks with an absolute daily price change above 1%, market capitalization no greater than 10…
This brief indicator description explains a chart overlay that plots straight price channels from three timeframes on a single chart. It also draws each channel’s upper and lower boundaries, using line widths to distinguish the timeframes. A related version…
This Chinese-language post describes an equity screen requiring a daily price range threshold, company scale above a stated minimum, and the 20-day moving average above the 120-day moving average. It frames the moving-average relationship as a trend filter…
This Chinese-language post outlines a stock screen combining a large daily trading range, at least one strong single-day gain within a recent 25-session window, and a specified share-price level. It also sketches formula and Python implementations, though…
This indicator adapts the RSI calculation by first comparing the close with a configurable moving average of a selected price series. Positive and negative differences are separated into gain and loss inputs, then each side is smoothed with a configurable…
This stock-screening proposal combines a metaverse industry filter with a rounded-price-shape setup and a rise in trading volume. Its reference conditions include turnover within a specified band, price and moving-average relationships over recent periods, a…
This stock-selection rule combines a 14-period RSI below 65, three consecutive declining sessions, and positive Chaikin Money Flow over 14 periods. The proposed interpretation is that recent weakness may leave room for a rebound while positive money flow…
This overview presents ten intraday breakout concepts. They use reference levels drawn from prior-session highs and lows, the opening price, an initial post-open range, recent consolidation, average price, or measures of historical and intraday ATR. In each…
The Bollinger Bandit combines moving-average bands with a directional filter. It considers long entries when price is below the upper band and the close is higher than it was 30 days earlier; short entries use the corresponding lower-band condition and a…