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 research summary explains how turnover controls affect portfolio construction and factor evaluation. Portfolio weights change as risk estimates and expected returns change, while portfolio constraints and relative stock performance can impose a minimum…
The document turns a discretionary trading approach into explicit entry and exit rules. A long position is opened when the 5-day moving average crosses above the 20-day average, the 14-period RSI is below 70, and price is above the 60-day average. The…
This overview characterizes quantitative futures trading through four themes: execution speed, short holding periods, flexible intraday exposure, and trading both long and short. It emphasizes that activity may cluster around the open and close, when…
This Chinese-language support exchange asks why BigQuant’s DNN template does not show a separate standardization module and how to handle an error after adding one. The response explains that the DNN is implemented as code and that data processing, including…
This A-share strategy combines industry rotation with stock selection inside the chosen industries. It builds a regime measure from changes in industry return rankings: when that measure falls, it selects industries by longer-term momentum; when it rises, it…
This brief forum exchange addresses a discrepancy between the displayed profit or loss for a simulated stock trade and the trader's expectation that both entry and exit fees should be included. The example concerns a purchase and later automatic sale,…
This article classifies volume and price behavior into twelve patterns across rising, falling, and sideways markets. It frames volume as trading activity and price movement as the outcome, emphasizing their relative efficiency: if similar volume produces…
The document summarizes research on whether investor sentiment genuinely helps explain cross-sectional stock return anomalies or appears predictive because it is persistent. Persistent predictors can spuriously forecast returns when expected returns also…
This note presents an extended version of on-balance volume (OBV), a momentum indicator that accumulates volume according to whether price rises or falls. It argues that conventional OBV often reverses direction frequently and lacks clear signal levels. To…
This article explains resistance as a price area where selling may emerge as an advancing market reaches prior highs. Its demonstration identifies local maxima by finding prices higher than the immediately preceding and following observations, then marks…
This article proposes ListFold, a listwise learning-to-rank loss for factor-based long-short equity strategies. Its central design treats the top and bottom of a predicted stock ranking as equally important, so one coherent ordering can select both long and…
This research summary describes high-frequency equity factors constructed from Chinese Level 2 market data, including minute bars, order-book snapshots, order queues, and trade-by-trade records. The proposed signals measure features such as return skewness,…
The document introduces a stock factor study based on cumulative net money flow over the previous 20 trading days, scaled by the stock’s market capitalization on the current day. It presents this normalization as a way to compare flows across stocks and…
This weekly report reviews Chinese market conditions and fund activity, with particular attention to plans to include exchange-traded funds in the Stock Connect program and the approaching release of restrictions on shares in the first public REITs. It also…
This strategy combines a valuation screen with price, volume, and trend signals. It favors stocks with low price-to-book ratios, a new 60-day high, short moving-average crossovers in sequence, a daily volume increase relative to the prior day, and a positive…
This research summary describes a monthly industry rotation method built from price and volume behavior. It groups candidate signals into six categories: momentum, trading volatility, turnover, long-short comparison, price-volume divergence, and alignment…
This tutorial outlines a workflow for collecting daily Chinese stock limit-up and limit-down pools, counting the stocks in each pool, and storing the resulting records on the BigQuant platform. It reads the latest Chinese trading date from a trading-days…
This short commentary describes pressures facing quantitative investment firms: crowded strategy areas, convergence among approaches, thin profits, and greater barriers to entry for researchers. It argues that widespread use of machine learning can produce…
This article presents a four-stage account of quantitative trading. It describes early strategies built on financial theory, multi-factor stock selection, and linear regression; a later high-frequency phase centered on low-latency hardware and algorithms; an…
This article argues that short-term Chinese stock traders should assess both broad social and economic catalysts and a stock’s leadership within its sector, rather than choosing limit-up stocks solely by board count, speed of limit-up, or queue size. It…
The article presents a discretionary framework for interpreting MACD through parameter choices, the zero line, and price-indicator divergence. It suggests shortening the conventional settings to (10, 20 or 22, 7), arguing that these better fit a five-day…
The document outlines four portfolio approaches: a calendar effect fund of funds (FOF), a performance enhancement FOF, a fund size undervaluation FOF, and a core-satellite ETF portfolio. The calendar strategy selects five active equity funds equally using…
This overview explains how unsupervised learning finds structure in unlabeled data, contrasting it with supervised prediction. It presents K-means clustering and principal component analysis (PCA) through equity examples. K-means groups stocks using scaled…
This note explains average true range (ATR) as a measure of price movement, then uses it to define a channel around a moving average. The middle line is the 25-day average closing price, and the upper and lower bands sit two ATR units above and below it. A…