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 document presents a custom chart indicator that measures the difference between each bar’s opening price and the preceding bar’s close. It converts that difference into points by dividing by the instrument’s point size, then places positive and negative…
The document explains how to enable TqSdk’s browser-based chart interface by setting the API’s web GUI option. It describes using an automatically assigned local address or supplying a fixed address, then illustrates a live setup that subscribes to a futures…
This Chinese-language post outlines a stock screen combining three signals: ranking stocks by relative volume, requiring the 20-day moving average to be above the 120-day moving average, and looking for a shortening negative MACD histogram on a 15-minute…
The document describes a normalized version of Twiggs Money Flow intended to show where the current indicator reading sits within its recent distribution. It first calculates buying and selling pressure from the close relative to a true range built from the…
This brief note describes a variation on the Keltner Channel. A conventional channel places bands at an average true range distance above and below a simple moving average. The proposed variant replaces that center average with a Non Lag moving average,…
This document describes an Expert Advisor that trades changes in the ColorJLaguerre oscillator. A signal is generated at bar close when the oscillator changes color in relation to its overbought and oversold levels. The strategy therefore uses an indicator’s…
This stock-selection screen combines amplitude above a threshold, a positive weekly histogram condition, and evidence of a limit-up move within the prior 25 days. The post frames these features as signals of volatility, short-term upward direction, and…
The Highest Lowest indicator marks local extremes: a bar is identified when its high exceeds highs on both sides, or when its low is below lows on both sides. It displays these signals with arrows. The description focuses on how the indicator evaluates price…
This stock screen combines a daily amplitude threshold, an opening price near the 10-day moving average, and revenue growth between 2018 and 2021. The post explains the intended rationale: look for volatile stocks that may be consolidating while showing…
This note describes a variation on the Commodity Channel Index. Instead of calculating the indicator from the moving average of typical price, the variant uses the median line of a Step Channel. The channel line is described as reflecting the balance between…
This stock selection method combines a technical filter with an earnings growth screen. It selects main-board Chinese equities with a 14-period RSI below 65, a daily price rise above 1%, and year-over-year growth in net profit attributable to parent-company…
This note proposes screening Chinese equities associated with the metaverse for a rounded-base chart pattern and upward-diverging moving averages. Its final written rule specifies that the five-day moving average should diverge upward on the current day. The…
This note presents a Chinese equity screen requiring price amplitude above a stated threshold, a stock code beginning with 60, and an association with the metaverse concept. It explains the filters as a combination of higher price variability, a market…
This note describes a Chinese equity screen combining price movement, a short-term trend condition, company size, and profitability. It selects stocks with amplitude above a stated threshold, an average price above the five-day moving average, market…
This stock-screening idea combines daily price range, upward moving-average alignment, and a ranking based on net large-order volume. The post presents the range and moving-average conditions as technical filters, then uses the order-flow ranking to favor…
This stock-selection approach combines price amplitude above 1, a weekly crossover of the 5-period moving average above the 10-period average, and a condition that the stock rose during 2021. It aims to find shares with notable price movement and an upward…
This A-share stock screen combines a turnover ratio between 3% and 12%, a newly formed KDJ bullish crossover, and a closing price of at least 18.5 yuan. The stated rationale is to seek stocks with moderate trading activity and a possible upward trend, while…
This indicator estimates price waves from the close’s distance above or below a 150-period weighted moving average. It converts that relative distance into a percentage, scales it by ten, and plots the result alongside a zero reference line. Positive and…
This post describes a stock screen that combines a prior-period price-amplitude condition with a MACD signal above the zero line and a closing price between the Bollinger middle and upper bands. It frames the amplitude filter as selecting more volatile…
This document describes an Expert Advisor that trades signals from the BBSqueeze indicator. It opens a transaction when a bar closes and the indicator histogram changes color, using that change as the entry trigger. The document gives no further detail about…
This stock-selection rule first limits candidates to the metaverse industry, then looks for an opening price near the 10-day moving average and simultaneous bullish signals from MACD, KDJ, and RSI. In the example formulas, the price condition uses recent…
This stock screen combines three filters: daily amplitude above 1%, a 10-day gain greater than zero but below 35%, and membership in the metaverse concept group. The article explains that the amplitude condition seeks active price movement, while the return…
This brief description presents a higher-timeframe variant of the XMA_BBx7 indicator. A timeframe input lets the user select the chart period from which the indicator should draw its information; the provided example selects a four-hour period. The stated…
This moving-average modification lets a trader define the input price as a weighted combination of open, high, low, and close rather than choosing only from standard price constants. Four coefficients determine each component’s contribution; components with…