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
The proposed screen combines three stock characteristics: price amplitude above one, a circulating share count no greater than 5.5 billion, and a 20-day concentration measure below 70%. The article presents the amplitude condition as a way to find more…
This screen focuses on stocks classified in the metaverse industry. It selects the five highest-ranked by the day's opening auction amount and requires the 30-day moving average to be above the 60-day moving average, using the relationship as a basic trend…
The article proposes screening Chinese stocks using price amplitude, company quality, and performance tied to 2021. Its expanded version adds valuation and fundamental comparisons, allows technical indicators such as KDJ, RSI, or MACD, and suggests…
This stock screen combines three signals: rank stocks by money-flow strength, require weekly MACD to be above zero, and look for shrinking negative MACD histogram bars on a 15-minute chart. The weekly condition is intended to favor stocks in an established…
The document proposes a stock screen combining three criteria: recent price amplitude above a stated threshold, circulating market capitalization above a stated level, and a stock code beginning with 60. It frames the screen as a way to find larger,…
This document outlines a simple Expert Advisor that evaluates a pivot derived from the prior bar’s high and low. It describes opening trades from the relationship between the current bar’s open, the prior high, and the pivot, then comparing successive pivots…
This beginner-oriented guide recommends planning trades in advance, researching assets before buying, and avoiding impulsive decisions driven by hype or fear of missing out. It advocates diversification across crypto assets, monitoring Bitcoin as a possible…
This document describes a market sentiment indicator that classifies conditions as bullish or bearish using limit order book data on centralized markets. Its inputs include minimum qualifying order volume, minimum order count, and thresholds for differences…
This A-share stock-selection proposal combines three conditions: RSI below 65, year-over-year growth in net profit attributable to parent-company shareholders within a stated positive range, and a recent two-day high condition. It presents the combination as…
This Chinese A-share screening proposal combines a technical filter, a trading-flow condition, and a turnover range. It selects stocks with RSI below 65, positive multiplication of price change by net flow from very large orders, and turnover above 2% but…
This brief description presents a standard ZigZag indicator supplemented with support and resistance levels. ZigZag marks selected price swings, while the added levels provide a way to view potential areas where price may encounter support or resistance. The…
This proposed Chinese equity screen combines three conditions: the stock's intraday high-low range exceeds one percent of its closing price, the prior session was not limit-up, and the article's external-to-internal trading measure exceeds 1.3. The author…
This A-share screening rule combines a daily high-low range greater than 1%, a newly formed KDJ crossover, and positive main-fund net inflow on the prior day. The post presents the range condition as a way to find volatile stocks, the crossover as a possible…
The document describes a three-candle Popgun pattern: an inside candle is enclosed by two outside candles. It uses the direction of the second outside candle to choose long or short bias, then treats a break beyond that candle’s high or low within the next…
This A-share screening concept selects stocks with at least five converging moving averages, ranks them by individual-stock “heat,” and requires at least two limit-up sessions within the prior 500 days. The accompanying explanation interprets the…
This proposed A-share screen combines three conditions: at least five moving averages converge, the opening price is near the 10-day average, and the stock has hit the daily limit at least twice in the past 500 days. The accompanying rationale treats average…
This stock-selection note describes a Chinese equities screen that combines three signals: membership in the metaverse theme, positive net buying by major participants during the opening auction, and an increase in the KDJ K value. It interprets these as a…
This short description presents a simplified indicator based on the 14-period Average Directional Index (ADX) and its positive and negative directional components. It says the relative position of the positive component, negative component, and main ADX line…
The document introduces the VIX as an options-derived measure of expected volatility over roughly the next 30 days, then describes the idea of adapting a similar measure to markets beyond the major US stock indexes. It names possible applications such as…
This post describes a short-term Chinese equity screen using RSI below 65, an outside-volume to inside-volume ratio above 1.3, and a share-price filter. Although the headline mentions a specific price, the body shifts to a range: its example uses prices from…
This post proposes screening Chinese equities for daily price amplitude above 1, return on equity above 15% for five consecutive years, and a rounded price pattern. It presents the combination as a way to pair a volatility condition with sustained…
This indicator description presents a TRIX variation that uses Wilder-style double exponential smoothing and floating signal levels. It offers three possible ways to mark changes on a chart: crossing the outer levels, crossing a dynamic middle or zero level,…
This Chinese stock-screening note combines a large-order net-flow ranking with a moving-average trend filter. It proposes ranking stocks by large-order net volume, treated as a measure of buying pressure, and keeping those whose 20-day moving average is…
This indicator description explains pivot-point analysis as a way to derive potential support and resistance levels from the prior period’s high, low, and pivot. The first support and resistance levels use the distance between the pivot and the corresponding…