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 daily, after-close screen selects stocks whose MACD line is above zero and that have a nonempty name for an outstanding convertible bond. It then ranks eligible stocks by individual-stock popularity, with the stated intent of prioritizing names…
This document describes a chart overlay that displays recent daily market data for a selected instrument. It gathers open, high, low, close, and volume values for a configurable number of prior days, and calculates each close’s percentage change relative to…
This short indicator description explains a calculation that identifies intersections involving the previous bar’s high and low prices. It says the indicator updates when a new bar appears and does not recalculate within a forming bar. This makes its output…
This document describes a stock screen for Chinese equities that combines three conditions: turnover between 3% and 12%, year-over-year growth in net profit attributable to the parent company above 20% and no more than 100%, and a positive MACD reading. The…
The document proposes screening Chinese A-share stocks in a metaverse sector category using prior-day turnover above 8%, an opening auction change between -2% and 5%, and, in its final rule, a price-to-earnings ratio below 50. The article presents these as a…
The document presents a Chinese A-share stock screen that combines an intraday amplitude condition with a low closing-price threshold. The written rules are inconsistent: the headline refers to amplitude above 1 and a price of 18, the body specifies 18.5…
The article describes a Chinese equity screen combining daily price amplitude, a historical dividend-yield threshold, and a signal labeled as the start of a rising trend. It interprets amplitude as a measure of trading activity, dividend yield as a marker of…
This post describes an A-share screening rule combining daily turnover between 3% and 12%, an opening price within 5% of the 10-day moving average, and a moving-average relationship intended to indicate alignment. It includes a formula-style example and a…
This document describes a technical stock screen requiring daily price range greater than 1, a morning-star candlestick condition, and positive recent return. Its rationale is that a larger range may identify active stocks, the candlestick pattern may signal…
This note presents a Chinese stock selection rule with three filters: membership in the metaverse theme, a prior-day price above the 250-day moving average, and a prior-day signal described as main-force control. It frames the theme filter as a way to target…
This note describes a Chinese equity screen combining current trading activity, price movement, order flow, and past limit-up events. It selects stocks with turnover between 3% and 12%, a positive product of the day’s price change and net large-order volume,…
This stock screen selects for a large intraday price range, current volume above a stated threshold, a gap-up or strong opening condition, and a positive price-to-earnings ratio. The intended rationale is to combine signs of active trading and market…
This stock screen combines price location among several moving averages, a Bollinger-band position, and a recent-gain constraint. The described filters use five averages spanning short to longer horizons, place the close between the band’s upper and middle…
This stock-selection method looks for a positive MACD reading, upward short-term moving-average conditions, strong current volume, and an opening price above the prior close. The accompanying formula adds price positioning relative to a short average and a…
This stock screen combines a metaverse concept filter with an upward-sloping 30-day moving average and an intraday range threshold. The stated formula defines the range as the high-low spread divided by the sum of the high and low, with a cutoff above one…
This Expert Advisor generates a trading signal when a bar closes and the JBrainTrend1Stop NRTR indicator changes color. The description says the EA depends on compiled indicator files being installed in the platform’s indicator directory. It also mentions a…
This stock screen combines a price range filter, a weekly trend indicator, and a thematic classification. It selects shares whose daily high-low amplitude exceeds 1%, whose weekly MACD is above zero and above its signal line, and that are classified as…
This stock selection approach combines a technical filter with market size and liquidity constraints. It selects shares with RSI below 65, circulating market capitalization between 5 billion and 10 billion yuan, and prior-day actual turnover above 3% but…
This Chinese stock screen combines three conditions: daily price range must exceed one percent of the previous close, an afternoon large-order net-inflow proxy must be positive according to a stated formula, and the prior session’s high must have been below…
This Chinese equity screen selects stocks with turnover between 3% and 12%, an opening price within five percent of the ten-day moving average, and membership in the metaverse concept group. The post frames turnover and price location as technical filters,…
This indicator defines the Asian session range, then looks for a London or New York wick through one boundary followed by a close back inside. A signal requires a later close beyond the opposite end of the sweep bar within four bars. It enters at the next…
This stock selection rule combines three technical filters: a 20-day moving average above the 120-day average, RSI below 65, and turnover between 3% and 12%. The moving average comparison selects stocks with a stronger shorter-term price trend than their…
This article explains how fear of missing out and panic selling can lead crypto traders to buy after sharp advances or sell during declines. It recommends defining entry and exit rules in advance, viewing losses as a normal part of investing, and starting…
The document describes a Chinese stock screen that selects shares with a daily high-low range above 1%, turnover between 2% and 9%, and a 30-day moving average that is rising versus the prior day. It presents these conditions as a technical filter intended…