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.
5,922 documents
This tutorial explains how a cross-sectional equity model’s predictions become portfolio decisions in VeighNa’s AlphaStrategy workflow. It distinguishes model evaluation from strategy design, then describes storing predictions in a dated signal table,…
This document summarizes two discussions of portfolio diversification. The first describes Bridgewater’s explanation of risk parity and its All Weather strategy, including a comparison with traditional portfolios and responses to common criticisms. The…
This introductory post defines quantitative investing as using numerical methods and computer programs to generate buy and sell instructions, with the aim of earning stable returns. It names discipline, systematic process, timeliness, accuracy, and…
The strategy uses a fixed equity watchlist and a daily agent workflow to review SEC Form 4 filings available as of each decision time. Its research step filters recent filings, opens the source documents, and focuses on non-derivative open-market purchases…
The report estimates stock-specific volatility from residuals in CAPM, Fama-French three- and five-factor, and Carhart four-factor models, then studies its role in China’s A-share market. It describes a low-volatility portfolio that equally weights stocks in…
The post proposes a simple equity-selection strategy based on revenue relative to market capitalization. It first requires positive year-over-year growth in the latest reported total revenue. Eligible stocks are then ranked by the previous year’s total…
The document summarizes a simplified market impact model for large investment portfolios. It builds on an Almgren-style impact function whose nonlinear power form can make portfolio optimization slow and can leave uncertainty about whether the numerical…
This configuration specifies a Qlib experiment using Alpha158 features for CSI 300 equities, with the Shanghai Composite 300 index as benchmark. It divides the history into training, validation, and test periods, applies robust feature normalization and…
This document explains a method for choosing entry boundaries in a cointegration-based pairs trade. The strategy fades a spread when it crosses a preset upper or lower threshold, then closes when it returns to its mean. With position weights set by the…
This report explains the structure of US retirement savings, focusing on employer defined contribution plans, defined benefit plans, and individual retirement accounts. It describes the 401(k) as a participant-directed plan supported by tax advantages and…
This tutorial develops the Markowitz efficient frontier from mean-variance analysis, describing the minimum-variance portfolio, the maximum-Sharpe portfolio, and combinations that form the efficient set. It explains how forecasts of asset returns and a…
This report summary distinguishes active quantitative mutual funds from index enhancement and quantitative hedging products. Active quant funds generally face less stringent tracking error limits than index enhancement funds and typically use long-only…
This overview outlines ways banks may use digital asset data across front, middle, and back office functions. Trading teams can apply real-time and historical data to research, strategy backtesting, and portfolio management. Risk and treasury teams can…
This report studies cross-sectional, market-neutral long-short strategies in commodity futures using inventory deviation and price momentum. The inventory signal measures how far a commodity’s stock level is from its trend; the strategy buys relatively…
FinRL is presented as an open-source framework for researching financial reinforcement learning. Its core workflow connects market environments, deep reinforcement learning agents, and financial applications in a train-test-trade pipeline. The repository…
The document explains alpha and beta through the CAPM framework, then presents alpha hedging as a way to reduce market exposure while seeking returns from stock selection. Its example approach buys a basket of equities and shorts index futures in a…
This document describes a portfolio analysis workflow that attributes a return series to selected risk factors. It combines daily returns, holdings, factor returns, and security-level factor loadings, converting dollar positions to portfolio weights and…
This configuration specifies a Chinese equity research workflow using Qlib, an XGBoost model, and the Alpha158 feature handler. The dataset is divided chronologically into training, validation, and test periods, with the model fitted on the training interval…
This BigQuant example builds a daily Chinese stock portfolio from basic eligibility filters and financial factors. It excludes suspended or specially treated stocks, then requires positive valuation measures, capped price-to-book, and year-over-year growth…
The note summarizes a study asking whether long-lived mutual funds’ ability to outperform the market reflects manager skill or luck. The researchers compare performance across different market states and use bootstrap sampling to assess whether stronger…
This configuration specifies a Qlib experiment that trains an attention-based LSTM model with a GRU recurrent layer on Alpha158 features for CSI 300 instruments. It selects 20 features, applies robust normalization and missing-value filling, and uses a…
This short BigQuant forum exchange clarifies how an AI-generated portfolio template handles positions. The question asks whether a stated holding period means a ten-day accumulation window, why purchases are spread across days instead of completed…
This research summary examines the volatility anomaly in Chinese equities and asks why high-volatility stocks often underperform in broad comparisons. It reports that the long-short effect is largely driven by the high-volatility short side; the…
This research summary introduces China’s crude oil futures market and compares its medium sour crude benchmark with major international contracts. It describes renminbi denomination, a daily price limit, and potential currency and cross-market risks. The…