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.
29,558 documents
The study measures a fund’s risk shifting by comparing the volatility implied by its latest disclosed holdings with the fund’s realized volatility over the same rolling period. Using quarterly holdings and return data for actively managed US domestic equity…
The document explains configuration conventions in NautilusTrader, covering typed settings for data and execution clients, engines, and strategies. It distinguishes concrete fields from optional fields, whose absent values can mean disabled behavior, an…
This document presents a China A-share screen centered on turnover between 3% and 12%, a seven-day declining-price condition, current volume above 10,000 lots, and an opening price above the previous close. Its final proposed version adds market…
VR Breakdown Level is a breakout strategy that records the high and low of a prior period, with the period length chosen in the trading robot’s settings. At the beginning of each new period, it saves those levels. If price crosses the prior high, it opens a…
The document proposes selecting stocks with amplitude above 1, a share price of 18.5 yuan, and company size above 200 million. It frames the screen as a way to find active stocks with meaningful scale, then acknowledges that size alone cannot assess…
The document describes an equity screen requiring price amplitude above 1, return on equity above 15% for five consecutive years, and more than three years since listing. It presents these conditions as a way to combine active trading with a record of…
This tutorial explains how to use Python notebooks for quantitative research, from collecting and saving exchange candlesticks to plotting price and trading-activity measures and testing strategies across symbols. It demonstrates paginated retrieval of…
The article describes a short-term A-share screening rule combining three conditions: prior-session price amplitude above 1%, circulating shares no greater than 5.5 billion, and a stock code beginning with 60. Its sample implementation intersects these…
This strategy uses a market regime filter built from momentum across 11 sector and style ETFs. It measures each ETF against a 25-day moving average and treats the broad market as showing momentum when at least six ETFs qualify. The portfolio buys small-cap…
This Qlib documentation describes visual reports for evaluating intraday portfolios and prediction models. Portfolio reports display benchmark and portfolio cumulative returns, returns with and without transaction costs, turnover, drawdowns, and cumulative…
This forum exchange addresses two practical VeighNa questions: removing subscribed market contracts and closing an open futures position. A reply says the framework does not support unsubscribing, suggesting a restart and re-adding only the desired contracts…
This document describes an account dashboard for tracking five common proprietary trading challenge constraints: daily loss, maximum loss, profit target, minimum trading days, and the best-day consistency rule. It explains that loss limits can be configured…
This note proposes a Chinese equity screen for stocks with amplitude above 1, rising lows, membership in the robotics concept group, and circulating market capitalization below 10 billion yuan. It combines a price-pattern condition with a sector theme and a…
This note describes a Chinese equity screen combining three conditions: price amplitude above 1, circulating market capitalization above 10 billion yuan, and at least one limit-up event in the prior 25 days. It frames the screen as a way to find larger,…
This Expert Advisor uses fast and slow moving averages to determine direction. It opens a buy when the fast average is above the slow average by a configurable minimum distance, and a sell under the opposite condition. The EA can close or retain existing…
This short-term equity screen combines a large daily range, a recent strong up day, elevated current volume, and an opening price above the prior close. The stated lookback is 25 trading days for the strong-gain condition. The article describes the…
This stock screen combines an amplitude threshold with simultaneous crossovers among three moving-average pairs and at least one limit-up event during roughly the prior month. It is presented as a way to find shares showing strong recent movement and…
This Chinese-language article proposes screening mainland-listed stocks for a turnover rate between 3% and 12%, excluding Beijing-listed shares, and requiring a rising-bottom pattern. Its accompanying Python example adds further filters, including excluding…
This strategy organizes research and trading for same-day-expiration bear call spreads through separate agents. A researcher gathers account and market information, checks the listed expiration, contract Greeks, and bid-ask quality, then identifies a short…
This stock screen selects companies associated with the metaverse concept, then applies a price condition and a relative-volume band. It requires the close to exceed the previous session’s low and volume relative to its five-session average to be above 1.5…
The document describes a small expert advisor that manages an already open position using a trailing stop distance supplied by the trader. If that requested distance is smaller than the platform’s allowed minimum stop distance, the advisor adjusts it to the…
The document proposes a stock screen combining three conditions: relatively large price amplitude, upward divergence in the day’s moving averages, and a limit-down price at the prior session’s 9:15 matching stage. The stated rationale is to find volatile…
This document describes a MetaTrader 5 class for rebuilding closed trades from their opening and closing deals in account history. The history is selected over a time range and organized by close time; callers can then enumerate reconstructed trades or…
This Chinese A-share stock screen selects shares with a daily high-low range above a stated threshold, while excluding Beijing-listed stocks and specified board categories. The article also describes a refinement that keeps prices close to a 60-period moving…