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 stock screen selects beverage and alcohol-related companies with turnover between 3% and 12%, then requires the current price to sit above a set of moving averages ranging from short to long horizons. The stated rationale combines an industry filter,…
This stock-selection idea combines an amplitude threshold, a rounded price-range pattern, and a company or industry classification. The accompanying indicator expression uses recent high-low ranges over several lookback windows to identify a compressed,…
This Chinese-language post presents a technical stock-selection idea combining three conditions: daily price amplitude above one, three consecutive limit-up sessions ending the previous day, and three consecutive declining sessions. It frames the conditions…
This Chinese-language post describes a simple stock screen for companies classified in the metaverse sector, with a positive recent return and market capitalization above 200 million yuan. It outlines the selection logic using sector membership, a price…
This note describes a stock screen for shares whose codes begin with 60, whose turnover rate is between 3% and 12%, and whose price gain at 9:25 is below 6%. It presents turnover as a liquidity filter and the early price move as a rough indicator of market…
This note presents a China A-share screening rule for stocks classified in the metaverse sector. It selects stocks that appeared on the prior day’s trading leaderboard and whose weekly close crosses above the 30-week moving average. The proposed rationale is…
This note describes a short-term A-share selection rule combining three filters: intraday amplitude above 1, a top-five ranking by today’s opening-auction amount, and prior-day auction turnover above 0.26. It frames the combination as a way to find stocks…
The document describes a chart indicator that plots three Bollinger Band channels derived from one moving average and displays the latest values as price labels. It is a visualization tool for viewing multiple volatility envelopes around a smoothed price…
This stock-selection screen combines three conditions: daily amplitude above one, a top-five rank by the day’s auction amount, and rising lows. The rising-lows condition is described as comparing the minimum low over a shorter recent window with the minimum…
This document describes a histogram version of Trend Envelopes that lets the user calculate the indicator from smoothed or filtered prices instead of raw prices. The filtering method is a parabolic weighted moving average, which the author characterizes as…
The document discusses a bar-style presentation of John Ehlers's Detrended Synthetic Price indicator, described as a basic oscillator displayed as colored bars on the main price chart. It contrasts this version with an approach that relies on fixed threshold…
This post proposes selecting stocks with RSI below a stated ceiling, seven consecutive sessions in which the close is no higher than the open, and a share price below a specified level. The article frames the RSI and down-day conditions as technical filters…
This post describes a stock-selection screen for Chinese equities that requires MACD to be above zero, a rising 30-day moving average, and a company-type criterion intended to represent business quality. The technical conditions are presented as signs of…
This post outlines an A-share stock screen combining a daily trading-range condition, a qualifying company type, and a dividend payout ratio above a stated threshold for 2019. It explains the range condition as a way to select stocks with price movement and…
This document outlines a long-only breakout strategy attributed to an earlier system by Chuck LeBe and David Lucas. It uses a rising long-period moving average as a directional filter. A buy signal occurs when the closing price crosses upward through the…
The post describes an equity screen combining a technical condition, a fundamental growth condition, and a market-activity condition. It selects stocks with RSI below 65, year-over-year growth in parent-company net profit above 20% and at most 100%, and a…
The document describes an indicator that presents trend information from the CronexChaikin indicator on a fixed timeframe. It derives its signal from the relative positions of the indicator’s main and signal lines, and displays the source indicator’s cloud…
This weekly Chinese equity market note combines market timing, sentiment, fund positioning, capital flows, and sector rotation. Its timing discussion uses an RSRS model on the Shanghai Composite, SSE 50, and ChiNext indexes. The model issued no new signals…
This document describes a one-minute EUR/USD scalping example built around virtual pending orders. A library simulates buy-stop and sell-stop orders, including stop-limit variants, by checking whether price or an indicator crosses specified thresholds.…
This article outlines a stock-selection screen combining a daily increase in reported holdings above a threshold, simultaneous bullish crossovers in three technical indicators, and a shortening MACD histogram on a 15-minute chart. It interprets the holdings…
This article describes a daily Chinese equity screen that combines a positive MACD reading with a ranking by stock popularity, then limits candidates to profitable companies below a stated market-cap threshold. It frames MACD and popularity as ways to…
This indicator applies a smoothed stochastic calculation to the midpoint of a rolling high-low range rather than directly to price. The midpoint is calculated from the highest high and lowest low over a lookback window. The document says this substitution…
This MetaTrader 5 Expert Advisor is a position-management utility for traders who enter trades manually. It does not create entry signals or open positions. For buys, it places an initial stop beyond a recent swing low; for sells, beyond a recent swing high.…
This overview explains a set of Ethereum indicators grouped around market tops and bottoms, sentiment, and user activity. Price measures include the 50-day and 200-day moving averages, a 200-week average, and the Pi Cycle comparison between the 111-day…