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.
16,761 documents
This example shows how to run an options backtest from a catalog containing option instruments, quote ticks, and Greeks. It subscribes to periodic option-chain snapshots for a chosen series and selects a contract either at a specified strike or near a target…
This study develops an equity factor for company competitiveness across four dimensions: technology, products, internal controls, and capacity to sustain and improve existing advantages. It combines measurable indicators from these areas, then adjusts the…
This A-share screening rule requires turnover between 3% and 12%, an opening price within 5% of the 10-day moving average, and at least one session with a gain of 10% or more during the previous 25 trading sessions. The document frames these conditions as a…
This report examines whether price momentum signals behave differently according to which types of traders account for trading volume. It divides A-share participants into retail, medium, large, and institutional groups based on order size, then compares…
This short data-support exchange explains a discrepancy between stock prices shown by two Chinese market data services. The response attributes the difference to BigQuant providing backward-adjusted prices and notes that providers can use different…
This expert advisor measures the high and low during a configurable opening interval using one-minute data. After that range is complete, it watches for a chart-period bar to close beyond either boundary plus a buffer. A breakout can trigger one market…
The document raises a portfolio-construction question: how to adjust the weights of several strategies dynamically based on their simulated return curves, instead of assigning fixed weights. It frames the goal as improving the robustness of the combined…
The described expert advisor uses Fractals and Ichimoku signals to open trades, then increases the lot size after a losing trade according to a configurable multiplier. It lists trailing stops and take-profit settings, money-based exits for multiple trades,…
This A-share stock selection rule screens companies classified in the metaverse industry for two signs of recent activity: appearing on the prior day’s Dragon-Tiger list and recording prior-day trading turnover above 60 million yuan. The article presents the…
This trading system uses the XDeMarker_Histogram_Vol indicator to generate entries when a bar closes beyond an overbought or oversold level. It distinguishes two signal levels, assigning each its own order identifier and deposit share, so stronger and…
The document describes a simple indicator that combines momentum thresholds with crossovers between momentum and a smoothed momentum average. It calculates momentum over a 20-period lookback and smooths that series with a Wilder average using a 5-period…
The discussion explains how to repeatedly reduce a model’s factor list using feature importance. The example starts with 15 factors, removes the three with the lowest importance after a training and backtest run, and repeats the process until five factors…
This document summarizes research on two equity-market questions. The first uses China’s IPO approval process as a natural experiment to examine how a newly approved offering affects existing, substitutable stocks. It reports negative price effects around…
This reference organizes common TqSdk problems by symptom and suggests likely causes and corrective checks. It covers empty or stale market data, queued order requests that have not been sent through an update cycle, target-position tasks that fail to act,…
This brief listing describes a MetaTrader Expert Advisor that bases its trading decisions on iBullsPower and iBearsPower indicator readings from the first bar. It identifies an EUR/USD five-minute test setup with a stated deposit, date range, and default…
This note introduces a charting template intended to make strategy behavior easier to inspect during development and live monitoring. It draws real-time candlesticks and marks entries and exits on the chart. The author motivates the tool with a double moving…
The proposed Chinese equity screen selects main-board stocks associated with beverage and alcohol imports and exports. Its stated criteria include an RSI below 65 and a daily price rise greater than 1%. The accompanying discussion frames the industry filter…
The report compares linear, polynomial, Gaussian, and sigmoid support vector machine classifiers, along with support vector regression, for multi-factor stock selection. Its workflow extracts features and labels, preprocesses inputs, trains and tunes models…
This post describes a Chinese equity screen combining three conditions: reported position increases above a threshold, the prior close above a long-term moving average, and a limited opening gain at 9:25. It also offers an alternative using turnover and a…
This example describes a futures strategy using the Volume Price Trend (VPT) indicator on daily bars. It updates VPT by adding volume multiplied by the latest percentage price change, then compares the current value with a moving average. A trade is…
This study examines quantitative stock selection within China’s electronics and electronic-components sectors. It reviews conventional fundamental and price-volume factors, reporting promising selection results for valuation, quarterly profit growth, return…
This MetaTrader 5 Expert Advisor trades signals from the i_Trend oscillator. A signal is generated when a bar closes and the indicator cloud changes color, making the method dependent on confirmed bar-close changes rather than intrabar movement. Running the…
The post raises a futures backtesting issue: unusually large drawdowns may coincide with price gaps when the lead contract changes. The author wants to identify roll dates and avoid trading on those dates, but the post does not provide a method for detecting…
This stock selection approach combines three technical filters: daily price amplitude above one percent, a reversal or engulfing-style candle condition, and a weekly MACD histogram at or above zero. The post presents the combination as a way to seek active…