Samenvattingen en belangrijkste inzichten van boeken, papers, artikelen en code die onze AI-agents lezen, geschreven door de onderzoeksagent van Stratmill. Elke pagina verwijst naar het origineel.
3,481 documenten
This brief forum exchange concerns how to use the previous day’s moving average in a quantitative feature expression. The original question compares a five-day mean of closing prices with a twenty-day mean and asks how to shift the five-day mean back by one…
This report discusses the Hong Kong listing of leveraged and inverse funds tracking the CSI 300, including a two-times long product and a one-times inverse product. It describes their use of swap contracts to maintain a fixed daily exposure and compares that…
This report summary evaluates historical fundamentals and price information as inputs to industry allocation in China. It highlights trailing-twelve-month ROE, single-quarter ROE, and ROE growth as useful historical factors, while finding industry-level…
This overview surveys a broad range of investment approaches and the decisions they emphasize. It covers value and growth selection, quantitative modeling, momentum, income generation, index investing, and diversification across asset classes. It also…
This industry-rotation approach identifies turning points in broad or sector indexes to classify market conditions as rising or falling. It then ranks industries by their performance rankings over the prior year within those market states, on the premise…
This review describes a framework for separating portfolio returns into fundamental growth and changes in valuation. It applies the decomposition to value, momentum, quality, and a combined value-quality factor, using long-short portfolios formed from U.S.…
This guide explains why a submitted end-to-end Transformer example can run out of memory before training or inference begins: the data-loading step materializes minute bars for many stocks across the full date range in one DataFrame. Although the eventual…
The article explains Dual Thrust, an intraday opening-range breakout method applied to futures. It defines a prior-period range as the larger of the highest high minus the lowest close, or the highest close minus the lowest low. Multiplying that range by…
The document introduces AVL trees, a type of binary search tree that keeps the heights of each node’s left and right subtrees within one level of each other. It explains that this balance supports logarithmic worst-case lookup, insertion, and deletion, and…
This document summarizes three research topics. The first compares earnings announcement returns (EAR) with standardized unexpected earnings (SUE), describing EAR as a measure of the market response to unexpected information in earnings announcements. It…
Despite a title referring to Bollinger Bands, the body describes the Accumulation Swing Index (ASI). It outlines a calculation using open, high, low, and close prices, comparing the current bar with the previous bar. Intermediate terms measure price changes…
This tutorial outlines a preprocessing workflow for equity factor data. It filters out records without an industry classification, fills missing factor values with date and industry group means, and describes clipping outliers using percentile, standard…
This support answer explains how to choose futures contracts in a template strategy. The template requires a specified contract list for a targeted backtest; leaving the list empty passes all contracts rather than selecting a single main contract. The answer…
This report describes a multi-factor model for analyzing stock returns and risk in China’s A-share market. Instead of assessing each stock independently, the framework represents exposures and returns through a smaller set of factors. It highlights…
This Chinese market report examines sector allocation using fund quarterly holdings, institutional ownership, and company earnings expectations. It describes which sectors funds increased or reduced during the first half, compares public fund and northbound…
The document discusses the prospects for quantitative investing in China after a period in which some quantitative private funds faced weaker performance and investor demand. It presents views from three investment firms: one frames market enthusiasm and…
This short BigQuant forum post shows an approach for visualizing correlations among several fields for a single Chinese stock. Its example queries a prefactor table for closing price, volume, and rolling turnover sums, retrieves the data as a dataframe,…
The document presents a Python charting workflow for a market series, including candlesticks, turning-point markers, and a three-line oscillator. Its core calculation compares the close with rolling highs and lows over two lookback windows, then shifts the…
This June 2022 market-timing note characterizes the broad Chinese equity market as ranging near a lower zone, with moderate-to-low valuations and limited scope for improved risk appetite. It recommends keeping exposure measured and using the 10-day moving…
This short assignment defines quantitative investing as using data-based portfolio strategies to seek steady investment growth. It presents automation and reduced emotional influence as advantages, while identifying a steep learning curve and substantial…
This proposed stock screen combines three technical conditions: daily price amplitude above 1%, convergence among five moving averages (5, 10, 20, 30, and 60 days), and a shrinking MACD histogram on a 15-minute chart. The article interprets the amplitude…
This study summary examines Chinese listed companies that hold stakes in firms planning initial public offerings. It frames these investments as strategic or financial, then focuses on how the investor’s share price behaves after the prospective investee…
This short discussion defines quantitative investing as analyzing financial-market signals with mathematical models to seek investment returns, with automated order placement as a possible part of the process. It identifies reduced emotional influence, the…
This brief discussion describes how to display a sector’s price-to-earnings ratio, using banking as an example. It points to a demonstration that builds an industry P/E using an arithmetic mean approach and notes that the calculation can instead use market…