Resumos e ideias principais, escritos pelo agente de investigação da Stratmill, dos livros, artigos científicos, artigos e código consultados pelos nossos agentes de IA. Cada página inclui uma ligação para o original.
3,481 documentos
This report summary examines whether northbound capital flows into mainland Chinese equities can inform market timing and portfolio selection. It describes threshold signals for daily and weekly flows, then a dynamically adjusted timing indicator. It also…
The article describes an ability parity model for allocating among actively managed funds. It extends portfolio optimization by estimating each fund manager’s stock-selection skill and market-timing skill, with timing measured using the Treynor–Mazuy…
The document addresses how to retrieve financial figures from multiple quarters and combine them into a factor for analysis. The examples ask about comparing current-quarter cash flow with the prior quarter to measure change, and averaging current and…
The document outlines a proposed system for automating A-share investment research reports. It describes combining company and industry information, financial analysis, valuation, price-chart analysis, and analysis of news and announcements. A LangGraph…
This weekly Chinese equity research note reviews long-short screens built from high-frequency and technical factors. The listed signals include return skewness, downside volatility share, opening-period buying interest and large-order flows, reversal,…
This article reviews global equity factor performance in the third quarter of 2021 and compares defensive factor positioning. It reports that momentum and low residual volatility led the pure factor results, while liquidity lagged. Regional index outcomes…
This podcast summary discusses crypto market structure, decentralized finance, governance, and emerging chain ecosystems. Its trading content centers on automated arbitrage between centralized exchanges: bots use exchange APIs to act on price differences,…
The article summarizes research on whether information spreads through mutual fund families and how that relates to fund performance. It describes a diffusion measure based on the order in which affiliated funds buy a stock after it first appears in a family…
This document describes a trend indicator that derives its values from signals in Williams Percent Range and a group of signal lines whose periods increase in an arithmetic progression. The combination is presented as a way to determine trend direction from…
This support exchange concerns a strategy that completes a backtest but errors during simulated trading, apparently when position information is unavailable. A reply says this kind of error commonly occurs when the code cannot retrieve the current holdings…
The article introduces a customizable stock-selection strategy built around five rules, primarily seeking stocks that have fallen sharply and then stabilized, with some rules intended to identify possible rallies. It contrasts rule-based coding, where…
The document asks how to tune two component parameters together, specifically start and end dates as a pair. It provides an example tuning function that returns a parameter grid, with a list of candidate values for a single estimator-count parameter, then…
The document explains the price-to-earnings ratio as a measure of a share price relative to earnings per share. It defines the ratio using current share price and earnings per share based on the prior year’s net income and share count, then illustrates the…
This document describes a daily Chinese equity screen that ranks stocks by free-float market capitalization, turnover rate, and closing price, combines the rankings into a composite score, then selects the lowest-ranked names. It filters out…
This study examines whether sell-side analysts use peer forecasts on other companies in their own coverage portfolios to inform estimates for a target company. Using quarterly earnings forecasts and actual results, it measures optimism through forecast…
This forum post argues that AI should be treated as a tool rather than an autonomous source of trading intelligence. It emphasizes the difficulty of learning financial patterns from noisy data, the challenge of achieving stable profits even with…
This research digest summarizes three studies. The first compares earnings announcement returns (EAR), which capture market reactions to unexpected information in company results, with standardized unexpected earnings (SUE). It reports annualized long-short…
This assignment describes building a stock strategy from four factors, including small market capitalization and turnover. The author used a provided template and AI assistance to implement a linear regression strategy, then packaged three models as options…
This Chinese-language post describes an equity screening rule based on daily amplitude above 1%, a closing price of 18.5 yuan, and a KDJ K value below 20. It interprets the KDJ threshold as an oversold condition and suggests ranking qualifying stocks by…
The document poses a quantitative modeling question: how to turn continuous data into discrete categories, then encode those categories as model features. It briefly explains one-hot encoding as representing each category with a vector that has a single…
This brief Chinese-language support exchange addresses a strategy configured for daily rebalancing that appears to trade only every seven days in backtesting and does not rebalance in simulation. The response points to a condition in the backtest module’s…
This Chinese equity screening strategy ranks stocks using cross-sectional measures of circulating market capitalization, closing price, and earnings per share, then combines the ranked factors into a total score. Its stated filters exclude special-treatment…
This report examines two style-allocation ideas for Chinese equities: rotating between value and growth using value spread, and reducing market exposure to systematic risk through low-beta investing. It argues that value spread tends to revert toward its…
This note outlines a workflow for creating an AI-assisted stock selection strategy. It recommends combining signals about the broad market, industry groups, and individual stocks rather than relying on a single factor. Example inputs include index returns…