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 A-share screening idea combines three conditions: RSI below 65, a ratio of outside-market to inside-market volume above 1.3, and an opening price near the 10-day moving average. The accompanying example translates these filters into a…
This short description presents a script for analyzing candlesticks over a selected period. It identifies the five candles with the greatest amplitude among bullish candles and the five greatest among bearish candles. The stated purpose is to help traders…
This release note describes changes to Zipline, a Python framework for running algorithmic trading systems. It adds command-line and IPython notebook ways to execute algorithms, plus a history function that supplies rolling market data to a strategy. The…
This brief indicator description introduces KiS_max_min_Avg, an MQL4 tool that draws a channel with a colored background. Its center line changes color to reflect the active market trend, giving traders a visual way to inspect price movement within a…
This Chinese stock-screening post describes selecting shares priced below 12 yuan, with turnover between 3% and 12%, and a pattern it calls a reversal or “wraparound” candle. Its indicator conditions include a low price threshold and an RC value no greater…
METRO_Sign is described as a semaphore-style signal indicator built from the color-change algorithm of the ColorMETRO_Stochastic indicator cloud. Its stated signal basis is therefore a change in the cloud's color; the supplied text does not specify how those…
This Expert Advisor combines a moving average with MACD. The moving average acts as a trend filter, while MACD provides trading signals. When a new signal calls for an opposite position, it also serves as the instruction to close the existing position.…
This short description defines a geometric moving average calculated from the average of a bar’s open, high, low, and close prices over a selected period. The only configuration detail given is the period used in the calculation. It is therefore a basic…
The post proposes screening Chinese stocks for MACD above zero, upward separation of short moving averages, and a prior-day auction turnover condition. It presents the combination as a way to select for positive momentum while using trading activity as a…
This brief indicator description explains how to display the minimum price found over a selected number of bars on a chosen timeframe. Its inputs let the user choose the timeframe, search period, starting bar, and the drawn level’s name, comment, color, line…
This MetaTrader 5 indicator visualizes confirmed swing points, breaks or shifts in market structure, and active bullish or bearish order blocks. Users can configure pivot sensitivity, the number and projection length of zones, colors, chart markers, and a…
This stock-selection note describes a short-term screen for Chinese equities based on three conditions: turnover between 3% and 12%, a ratio of outside to inside trading volume above 1.3, and a closing price above the previous day’s low. The combination is…
This 2019 strategy review discusses how Chinese equity quant investors might respond to a weak market and changing asset-management conditions. It questions the near-term outlook for multi-factor approaches, noting that technical factors could remain under…
This short description introduces a moving-average indicator that separates its output into bullish and bearish components and displays them in a separate chart window. It is intended as a way to inspect directional information derived from a moving average,…
This research note examines shifts between large-cap and small-cap leadership in Chinese equities, using the CSI 300 and ChiNext indices as proxies. It argues that rotation can reflect macroeconomic conditions, industry trends, and market sentiment, and that…
This tutorial outlines a two-moving-average crossover expert advisor. It exposes configurable fast and slow periods, position size, minimum equity, slippage, and fixed take-profit and stop-loss distances. Initialization checks that the parameter values are…
This review summarizes research spanning equity market microstructure, institutional holdings, crypto momentum, dynamic-graph forecasting, and reinforcement learning for limit-order-book trading. In equities, one study groups trades by their timing relative…
This research roundup describes several quantitative finance studies. One classifies equity trades by their short-term co-occurrence with other trades and standardizes associated order imbalances into conditional order imbalance measures. These measures…
The paper examines three possible asymmetries between monetary policy and real activity: differences between positive and negative shocks, large and small shocks, and negative shocks under low-variance conditions. It links these patterns to sticky wages and…
This research summary studies iron ore returns using factors from the commodity supply chain as well as macroeconomic variables. It groups fundamental drivers around supply, demand, inventories, and costs, and reports findings from a vector autoregression…
The post proposes a Chinese equity screen combining daily price amplitude, afternoon large-order net inflow, and a record of high return on equity over five years. It frames the criteria as a mix of price activity, money flow, and company profitability, and…
This tutorial explains how to convert a discretionary futures idea into a specification a program can follow. Its five elements are signal timeframe, entry rules, exit rules, position size, and behavior in edge cases. It emphasizes separating directional…
The document shows a Chinese A-share strategy that ranks stocks using market capitalization, float capitalization, and closing price, then selects a small target list. It filters for smaller float capitalization, sufficient listing history, and nonnegative…
The article proposes a Chinese-equity screen that combines a price-range condition, a named morning-star signal, and a historical dividend payout ratio above a stated threshold for 2019. It frames the combination as a way to identify shares with short-term…