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 outlines a framework for evaluating private index-enhanced funds through their active exposures to risk factors. Because benchmark exposure is inherent to these products, the analysis treats deviations in style and industry exposures as…
This forum post documents a PermissionException encountered when a copied visual stock-selection strategy runs a BigQuant query. The generated SQL joins daily stock bars with basic information, factor, and status tables, then applies universe and factor…
This research digest summarizes two papers relevant to investment research and portfolio decisions. The first examines analyst skill and influence across products at fourteen mutual fund firms. It reports that buy-side analysts contribute positively to…
This research summary compares large language models with a financial word-list method for classifying news sentiment and assessing stock returns. It describes analysis of 965,375 US financial news articles matched with daily stock returns. Models classify…
This guide walks through preparing an XRP Ledger account for use with Hummingbot, importing the account into a wallet app, connecting the connector, and checking balances. It also describes editing connector settings to use custom markets or node endpoints.…
This article argues that individual investors can use their ability to move fully into cash to limit exposure during uncertain market conditions. It recommends watching market behavior while sidelined and entering when forced selling by larger investors may…
This brief investment summary argues that the CSI 300 offered an attractive risk-reward profile in a pessimistic scenario. It compares valuation multiples based on different years’ net profits: 12 times using 2015 profits after the circuit-breaker episode,…
The article discusses the “Old Duck Head,” a short-term chart pattern associated with a Chinese trading book that interprets price formations as traces of large operators accumulating or distributing shares. It questions whether that explanation fits modern…
This note explains why querying an entire BigQuant factor table can fail with a permission error. The example selects dates, instruments, and a factor from a named table, then sorts the rows, but the query does not constrain the table's partitions. The error…
This support discussion explains a factor-analysis failure caused by insufficient coverage of a derived price feature. The feature compares the close with the high-low range and then takes a one-period change. Although feature extraction returned data, the…
This strategy studies a daily selection of ten Chinese main-board stocks ranked by free-float market capitalization, from smallest to largest. It excludes stocks marked ST, suspended stocks, companies listed for less than a year, and listings on the STAR…
This study builds a text-derived earnings surprise factor, SUE.txt, to capture post-earnings announcement drift in Chinese equities. It uses analyst report titles and summaries related to earnings forecasts, converts them into word-frequency features, and…
The article presents five discretionary rules for managing Chinese stock positions during the opening session. It advises selling after a large gap down fails to recover, adding to a flat-opening stock that holds steady before a volume-backed rise, and…
This operations manual explains how a desktop terminal turns signals from simulated strategies into live equity trade plans. It describes linking an access credential, reviewing and editing proposed quantity and timing, and explicitly confirming plans before…
This research summary describes a quantitative factor intended to measure listed companies’ competitive advantages using financial statement data. It evaluates the factor across China’s A-share universe, compares its relationship with established quality and…
This short platform support exchange addresses why assigning equal target weights to five stocks may initially result in positions below the intended 20% per stock. The answer points to a trade-module setting that limits how much volume can be filled and…
This article adapts a supervised stock-timing approach to Chinese equities. It describes using nine price- and volume-related features to train a binary classifier: the label is positive when the price 30 trading days later is at least the current price, and…
This account of a 2021 industry speech discusses how data, algorithms, and execution shape quantitative investing. It frames potential returns as depending on both market inefficiency and statistical methods that identify patterns robust enough to validate.…
This study evaluates a convolutional neural network that predicts five-day returns across the Chinese stock market. Its baseline uses 2012–2017 data for training and tests on 2018 through October 2021. The authors vary batch size, optimizer, loss function,…
This research framework measures how crowded equity industries are using price and trading activity. It groups candidate measures into trend-oriented indicators, supplementary volume and order-flow measures, and relative comparisons across industries.…
This Chinese market report reviews a week of performance across mainland equity indexes, sectors, bonds, convertible bonds, and public funds. Its central quantitative method estimates the trading impact of index constituent changes: for large broad-market…
The report combines wavelet denoising with a support vector machine to forecast the CSI 300 index time series. It frames market direction as a classification task and price estimation as a regression task, then uses the forecasts to build both long-only and…
The article examines why A-share strategy results in historical tests can differ from live or simulated trading. It groups causes into data problems such as survivorship bias and price adjustments, model problems such as overfitting and crowded factors,…
This short explanation presents the Chinese candlestick pattern known as “Emerging from Water” as a possible bottom-reversal signal. It forms during a decline or sideways consolidation when a long bullish candle breaks above several short-term moving…