Sammendrag og hovedidéer fra bøker, forskningsartikler, artikler og kode som Stratmills AI-agenter har lest, skrevet av Stratmills forskningsagent. Hver side lenker til originalen.
3,481 dokumenter
The document explains how to refer to the prior day’s K and D values from a KDJ indicator in a factor expression. It recommends applying a one-period shift to the desired indicator series. The example uses the K series, and the same approach applies to the D…
This Chinese equity strategy seeks stocks that open at the daily upper price limit and remain there, using a platform field to identify the condition. It first excludes special-treatment stocks, suspended stocks, and Beijing Stock Exchange listings, then…
This meetup outline raises questions about constructing sector or industry factors, measuring correlations among industries, and choosing industry classifications that reflect granularity and supply-chain relationships. It identifies these as topics for…
This report explains the risk-prediction component of a multi-factor investment framework. It describes estimating a structured risk matrix from factor covariance and specific-risk components, with adjustments intended to improve consistency and accuracy.…
This short assignment outlines a basic path from investment experience to systematic strategy development. The author mentions buy-and-hold contributions to gold and Nasdaq exposure, stock subscriptions, and stock selection informed by company fundamentals,…
This article presents four ways traders may interpret unusually high trading volume in stocks. After a prolonged decline, a volume spike is framed as a possible sign of selling exhaustion and accumulation. Heavy volume after an extended rise is treated as a…
This report introduces quantitative funds in China and distinguishes three operating models. Active quantitative funds use models to select stocks in search of returns above a benchmark. Index-enhanced funds combine index exposure with model-based stock…
This research constructs a stock-selection factor from the short-term correlation between trading volume and price movement. It uses that relationship to distinguish stocks whose volume and price move together from those that diverge, then ranks stocks for a…
This research summary describes a corporate-governance factor for Chinese equities, built from 58 measures across board structure, ownership and shareholders, financial governance, compensation and incentives, governance conduct, and external oversight. It…
This research summary measures listed companies’ earnings quality by the relative size of accruals in reported profits, then tests accruals as a stock selection factor in China’s A-share market. Its regression findings describe operating profit as…
The document challenges the claim that US rules define high-frequency trading by a fixed limit of 15 orders per second, contrasting that claim with a behavior-based way of identifying high-frequency activity. It lists characteristics such as automated order…
This brief platform discussion asks how to inspect the output of an intermediate neural-network layer in a visual workflow. One reply recommends adding and running a notebook cell after execution, inspecting the layer object’s properties, and reading its…
This brief troubleshooting note addresses a Python AttributeError raised when a strategy tries to access a last-sale-date attribute on a Zipline equity object. The suggested correction is to build the holdings mapping from each position’s equity symbol and…
This account develops an equity-selection process that compares equal-weighted factor rankings with weights that adapt to each factor’s recent Rank IC information ratio. It describes screening a large factor pool for missing data, outliers, redundancy,…
The document describes five visual clues that it associates with concentrated control of a stock’s float: prices rising on declining volume, orderly pullbacks that hold support, brief intraday volume spikes, stair-step advances with bounded consolidations,…
The document describes four chart patterns that it interprets as possible consolidation after a stock reaches its daily limit-up price: a three-candle sequence with long upper and lower shadows, a sideways stretch of small bullish candles or dojis above the…
This Chinese equities research reproduction develops a cross-sectional factor from minute-level volume surges. A surge is defined when the minute-to-minute volume increase exceeds that stock’s daily average increase by one standard deviation. For each surge,…
This document summarizes a research report on recurring changes in traditional equity factor performance, including value, momentum, low volatility, and quality. Its central idea is to identify factor regimes from the factors’ own return histories, since the…
This brief indicator note introduces Chaikin Money Flow (CMF) and gives its calculation from high, low, close, and volume data over a lookback window. For each bar, it weights volume according to where the close falls within that bar’s high-low range: closes…
This research summary reviews the US retirement system through three pillars: federal retirement benefits, employer-sponsored pension plans, and individual retirement accounts. It compares their contribution or collection arrangements, asset management, and…
This Chinese-language research summary reviews interim earnings forecasts for ChiNext, a Chinese growth-stock board. It reports that 703 listed companies had published forecasts and evaluates profit growth using free-float market-cap weighting. The analysis…
This study proposes a monthly stock-selection factor based on how prices respond when individual stocks experience unusually large intraday increases in trading volume. It identifies spikes by comparing each minute’s volume increase with that stock’s daily…
A BigQuant user reports an error stating that an expression argument was expected to be a string but instead was null. The reported fix is to enable the position formula option in the position allocation module. This identifies a configuration setting that…
The report studies momentum-based rotation among 15 E Fund industry, theme, and selected broad-market ETFs. It compares 20-, 60-, and 120-day return momentum measures, using information coefficient and ranked portfolio tests over a historical Chinese market…