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
This indicator adapts Bollinger Bands using recursive smoothing based on the Laguerre-style equations described in the document. It estimates a central line from the median of each bar’s high and low, then builds upper and lower bands from a smoothed measure…
The post describes a short horizon stock screen combining daily range, a “morning star” pattern, and a bounded opening price change. Its stated thresholds are amplitude above 1%, with opening change between −5% and 2.6%; the accompanying formula also limits…
The article compares long and short training windows for an AI stock selection strategy and recommends evaluating each window against a fixed validation period. In its rolling experiments, extending the sample from 2005 to 2021 changed labels, factor…
This document describes an expert advisor that uses an unusual filter involving the intersection of two moving averages. The user can set a price type for the current bar and choose a signal filter based on the fast average, the slow average, or that bar's…
This Chinese-language post sketches a stock selection approach that ranks shares by trading activity, using volume and turnover as proxies for capital strength, and also considers share price. It proposes selecting highly ranked stocks on these measures,…
This document describes a MetaTrader expert advisor built around signals from Fractals and Stochastic indicators. Traders can choose to require both indicators or use either one on its own. The listed inputs also allow configuration of position volume, stop…
The document describes momentum deviation as a variation of standard deviation that applies the calculation to price momentum rather than to price itself. It says the method is designed to use minimal CPU resources and produces values similar to standard…
This Chinese-language post outlines an equity screening rule that ranks stocks by volume ratio and selects the top 100. It also proposes comparing rolling 7-day and 30-day moving averages, describing the filter as requiring the shorter average to be above…
This note presents a Chinese stock screen using two short-term conditions: a daily increase in the share of positions held above 5% and an opening-auction return between -2% and 5%. It also limits the stated sample period to 2021. The document interprets the…
This submission outlines an intraday stock-selection idea for a day when a market theme is breaking out. It proposes identifying a popular sector early, using large orders that hold at the daily price limit as a sign of a clear direction, then ranking…
This note describes a stock screen combining metaverse sector membership, a rounded price pattern, and a share price below 12 yuan. It suggests these filters as a way to identify lower-priced stocks in an emerging industry, and mentions RSI, MACD, and moving…
This Chinese community post outlines an equity screen combining three filters: membership in the metaverse theme, positive net buying attributed to major participants during the opening auction, and an appearance on the prior day’s public trading activity…
This Chinese post compiles a selection of 65 titles from a much larger collection of publicly released Springer books, focusing on data and machine learning. The bibliography spans foundations such as algebra, probability, statistics, optimization, and time…
This Chinese community post describes a daily stock screen requiring an amplitude reading above 1, a daily percentage change between -5% and -4%, and no limit-up session on the previous day. It presents the conditions as a way to identify volatile stocks…
This indicator defines a trend reversal by comparing a bar’s close with the extremes of a preceding window. An upward reversal occurs when the current close exceeds the highs of the previous x minus one bars; a downward reversal occurs when it falls below…
This note outlines a stock screen for beverage and alcohol related companies. It combines turnover between 3% and 12% with an industry classification and measures of buying by large or extra-large orders during the opening auction. The stated rule uses an…
This note describes a Chinese equity screen combining turnover, order book depth, and institutional trading. It selects stocks with turnover between 3% and 12%, displayed best bid volume above best ask volume, and a positive institutional trading measure. A…
The indicator implements a moving average attributed to Buff Dormeier. It first calculates volume multiplied by closing price, then takes a simple moving average of that value and divides it by a simple moving average of volume over the same configurable…
Rainbow Clouds is described as a collection of moving averages presented together as cloud indicators. The concept is to display multiple averages as a grouped visual overlay, rather than a single moving-average line. The text does not explain the averaging…
This brief installment in a multi-factor modeling series contrasts two ways of estimating factor information. It says that Barra-style models typically take factor exposures directly from fundamental or technical data, while academic approaches often…
The document describes a signal engine for detecting when price approaches a channel boundary and then reverses away from the extreme. It distinguishes this two-stage condition from treating mere proximity as an entry signal. A state machine applies…
This notebook demonstrates a Monte Carlo approach to forecasting stock prices with geometric Brownian motion. It estimates drift and volatility from historical log returns, generates many simulated price paths, and splits the price series sequentially into…
This post outlines a Chinese equity screen using three activity and size filters: daily turnover between 3% and 12%, circulating market value between 5 billion and 10 billion yuan, and prior-day opening-auction turnover above 0.26. It gives a technical…
This overview introduces PayPal USD (PYUSD), a stablecoin launched in August 2023 for the PayPal payment system. It explains the general collateralization model: an issuer holds reserve assets intended to match the value of tokens in circulation. According…