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.
79,386 documents
DayDeMarker adapts the DeMarker indicator’s calculation period to the number of bars elapsed in the current day. It is presented for intraday decision support and is available on timeframes from one minute through one day. The description notes that…
This short page describes a simple way to view the intraday performance of individual currencies. Users can adjust line appearance and choose the hour and minute that define the start of a trading day, so the comparison can be aligned to a preferred session…
This document introduces mobile network activity as an alternative data source for quantitative investing. It explains that mobile devices continually exchange signals with cell towers and Wi-Fi access points, and that legally anonymized records may reveal…
This Chinese-language post outlines a stock screen combining price movement, recent strength, and MACD. The initial criteria look for stocks with a large daily high-low range, at least one session with a gain of 10% or more in the recent 25 trading days, and…
This stock selection method screens after each trading day for shares whose MACD histogram is above zero and whose close is above the prior day's low. It then ranks qualifying names by reported stock heat, from highest to lowest, and the example code retains…
This brief indicator note describes ATRratio_HTF, a version of the ATRratio indicator that lets the user choose the chart period through an input parameter. The example period shown is four hours, illustrating that the indicator can be configured to use a…
This beginner tutorial uses the MNIST handwritten digit dataset to introduce TensorFlow through a simple image classification task. Each image has a digit label, and the model is intended to predict that label from the image. The tutorial chooses softmax…
This Chinese equity screening idea selects stocks with an amplitude above 1, a product of yesterday’s turnover and today’s auction volume relative to yesterday’s volume between 0.5 and 2, and a prior-day signal that major market participants controlled the…
This brief document describes a customizable version of Bollinger Bands. Its distinguishing feature is that users can choose the moving average method used in the calculation and select which price series supplies the input. The listed average methods…
This document outlines a Chinese equity screen requiring turnover between 3% and 12% and year-over-year growth in net profit attributable to shareholders of the parent company between 20% and 100%. It then ranks qualifying stocks by capital strength, which…
This document describes a Chinese equity screening strategy combining membership in the metaverse sector, a pre-open or opening gain below 6%, and a signal interpreted as institutional buying. Its rationale is to find stocks that institutions may be…
The article presents a short-term stock screen combining positive price change, turnover between 3% and 12%, an outside-to-inside trading volume ratio above 1.3, and a positive product of price change and large-order net flow. Its rationale is that liquidity…
This stock-selection idea combines membership in the metaverse theme with a limit on the opening price increase and a history of strong return on equity. The stated screen seeks firms with ROE above 15% for five consecutive years and an opening gain below…
The document describes a chart indicator that displays signals generated by a separate METRO_Sign indicator on a chosen timeframe. It distinguishes continued trends, shown with a colored circular symbol, from trend changes, shown with a directional arrow.…
This stock screen combines three conditions: daily price range above 1%, closing price below 20, and more than two limit-up sessions in the preceding ten days. The document provides example implementations in a Chinese stock analysis formula language and…
The article explains how WorldQuant’s 101 formulaic alphas combine short horizon price and volume features, often mixing momentum and mean reversion. It distinguishes signals traded on the same day as their latest input from those traded later, and walks…
The document outlines a daily pre-market screen for Chinese stocks that combines three conditions: MACD above zero, positive trailing P/E, and a circulating share count no greater than 5.5 billion shares. It interprets positive MACD as a sign of an upward…
This article challenges three barriers commonly associated with quantitative investing: needing advanced mathematical credentials, being able to code extensively, and having a large portfolio. It presents quantitative analysis as a way to use statistics and…
This stock-selection rule screens companies classified in the metaverse theme, requiring the prior day’s actual turnover to fall between 3% and 28% and the opening price to be above the ten-day moving average. The article gives the conditions in plain…
This guide describes NautilusTrader’s system for turning completed backtests into interactive or static performance reports. Users can select charts and themes, include run metadata and performance statistics, and inspect equity, drawdown, monthly and yearly…
This guide explains simple and exponential moving averages as ways to smooth price series. An SMA averages prices over a selected window, while an EMA updates recursively and gives more weight to recent prices. It illustrates both calculations with a short…
Zero Point Force (ZPF) is a technical indicator built from moving averages of price and volume. Its formula multiplies the moving average of volume by the difference between a shorter-period and a longer-period moving average of price, then divides the…
This note proposes selecting stocks in the metaverse theme whose previous closing price is above the 250-day moving average, then applying a filter for company characteristics. It describes the theme as a way to target a popular sector and the long moving…
This note describes a technical stock screen requiring MACD to be above its zero line, short-term moving averages to fan upward, and the weekly price to cross above a 30-week moving average. It supplies indicator formulas and a Python example that…