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.
12,140 documents
This note describes a Chinese stock screening rule combining daily price amplitude above 1%, afternoon large-order net inflow, and a MACD condition from two days earlier. It presents the filters as a way to find stocks showing both price movement and buying…
This article describes a technical stock screen seeking high daily price ranges, at least one daily gain of 10% or more within the previous 25 trading days, and an upward alignment of moving averages. Its suggested refinement requires the close to be above…
This stock-screening article starts with three filters: RSI below 65, exposure to the beverage and alcohol import-export industry, and a closing price above the previous day’s low. It then proposes a stricter version using a close above the 60-day moving…
This post presents a short-term equity selection screen using three signals: more than two limit-up sessions in the prior ten days, RSI below 65, and ranking by capital-flow strength. It interprets the RSI threshold as leaving room for further gains, capital…
This document proposes screening stocks in the metaverse sector for a recent limit-up event and greater volume on the best bid than on the best ask. It specifies selecting during the morning, before 10:00, for same-day trading. The post includes example…
This article describes a daily process for building a watchlist of strong stocks. After the close, rank shares by traded value and keep the top 30. From that group, look for stocks rising more than 3% on increased volume, giving extra attention to volume…
This A-share selection method requires MACD to be above its zero line, parent-company net profit growth to be greater than 20% and no more than 100%, and more than two limit-up days within the past ten days. The examples show a possible weekly screening…
This document describes an A-share stock screen combining turnover of 3%–12%, a daily gain above 1%, main-board listing, and a top-50% return rank for 2021. It explains the turnover band as a way to focus on active stocks while avoiding extreme activity, and…
This code excerpt implements neural-network components for a momentum forecasting model based on a temporal fusion transformer design. It includes feed-forward layers, gated linear units, gated residual networks with skip connections and normalization, and…
This Chinese-language post describes a stock screen combining daily price range, positive institutional net flow, and a relative-volume band. The stated rules select stocks with an amplitude above one, institutional flow above zero, and volume ratio between…
The document presents a modified Commodity Channel Index display intended to reduce the number of signals produced by the standard indicator. It converts CCI into a step chart and treats only changes large enough to cross a chosen step size as meaningful.…
The document describes a Chinese A-share watchlist screen using three conditions: daily price amplitude above 1%, at least one limit-up event in a recent lookback period, and revenue in 2021 more than 1.1 times revenue in 2018. It provides example indicator…
This Chinese-language post proposes placing a stock in a candidate pool when its amplitude exceeds 1%, it recorded at least one limit-up day in the prior 25 days, and the weekly five-period moving average crosses above the ten-period average. The stated…
This post describes a Chinese A-share screening rule that combines a relative strength index threshold with positive daily price movement. It selects mainboard stocks whose RSI is below 65, whose daily gain exceeds 1%, and whose reported daily return is…
The post presents a Chinese equity screening rule combining a positive MACD reading, filters intended to exclude financially troubled or specially treated companies, and a minimum prior-day trading activity threshold. Its rationale is to pair a technical…
The post describes a daily stock screen for main board shares with turnover between 3% and 12%, a daily gain above 1%, and positive return. It frames the turnover band as a way to focus on trading activity and the gain and return filters as profitability…
The document explains the Acceleration/Deceleration Oscillator (AC) as the Awesome Oscillator (AO) minus a five-period simple moving average of AO. AO itself is calculated as the five-period simple moving average of median price minus its 34-period simple…
This short explanation describes a variation on the stochastic oscillator, a momentum measure that compares price with its range over a chosen lookback period. It notes that the oscillator’s responsiveness can be adjusted by changing that period or by…
This post outlines a China-listed equity screen limited to the metaverse theme. It seeks stocks with three technical indicators crossing upward at the same time and positive net buying by large orders during the opening auction. MACD and its signal line are…
This Chinese-language post describes a stock screening rule that ranks shares by volume ratio, then filters for a ten-day gain above zero but below 35 and a circulating market value no greater than 5.5 billion shares’ worth, as worded in the source. It…
The document presents a Chinese equity screening rule that requires MACD to be above zero, the reported external-to-internal trading volume ratio to exceed 1.3, and the 20-day moving average to be above the 120-day average. Stocks passing all three filters…
The document describes a stock selection rule combining daily price amplitude, a weekly moving-average crossover, and the presence of an outstanding convertible bond. Its stated rationale is to consider both price trend and volatility alongside a…
This Chinese A-share screening proposal filters for stocks with turnover between 3% and 12%, excludes Beijing-listed shares, and ranks candidates by large-order net buying. Its stated rationale is to identify actively traded stocks with positive large-order…
This note explains a CCI indicator display that classifies the indicator’s direction and position relative to overbought and oversold thresholds. Its settings include the CCI period, both thresholds, and separate buy and sell entry levels. The indicator uses…