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Žinių biblioteka

Stratmill tyrimų agento parengtos knygų, straipsnių, mokslinių darbų ir kodo, kuriuos skaito mūsų DI agentai, santraukos ir pagrindinės mintys. Kiekviename puslapyje pateikiama nuoroda į originalą.

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Stratmill research code
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Ieškoti bibliotekoje

3,481 dokumentų

BigQuant

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…

Kinijos rinkosAkcijosImpulsasIstorinis testavimas
BigQuant

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…

Portfelio konstravimasInvestavimas pagal veiksniusStatistikaKinijos rinkos
BigQuant

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…

AkcijosInvestavimas pagal veiksniusStatistika
BigQuant

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…

Mašininis mokymasisAkcijosKinijos rinkos
BigQuant

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,…

Kinijos rinkosAkcijosDidelio dažnio prekybaInvestavimas pagal veiksnius
BigQuant

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…

AkcijosInvestavimas pagal veiksniusImpulsasKintamumas
BigQuant

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,…

KriptoturtasArbitražasPavedimų vykdymasRinkos mikrostruktūra
BigQuant

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…

AkcijosStatistikaPortfelio konstravimas
BigQuant

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…

AkcijosPavedimų vykdymasIstorinis testavimas
BigQuant

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…

AkcijosGrįžimas prie vidurkioTechniniai rodikliaiIstorinis testavimas
BigQuant

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…

Istorinis testavimasStatistika
BigQuant

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…

AkcijosInvestavimas pagal veiksniusStatistika
BigQuant

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…

AkcijosInvestavimas pagal veiksniusKinijos rinkosIstorinis testavimas
BigQuant

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…

AkcijosStatistikaRinkos nuotaikos
BigQuant

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…

Mašininis mokymasisRinkos nuotaikosStatistika
BigQuant

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…

AkcijosRenginiais pagrįsta prekybaInvestavimas pagal veiksniusKintamumas
BigQuant

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…

AkcijosInvestavimas pagal veiksniusMašininis mokymasisIstorinis testavimas
BigQuant

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…

AkcijosKinijos rinkosTechniniai rodikliaiGrįžimas prie vidurkio
BigQuant

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…

Mašininis mokymasisStatistika
BigQuant

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…

Istorinis testavimasPavedimų vykdymas
BigQuant

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…

AkcijosInvestavimas pagal veiksniusIstorinis testavimasPozicijos dydžio nustatymas
BigQuant

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…

AkcijosInvestavimas pagal veiksniusGrįžimas prie vidurkioRizikos valdymas
BigQuant

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…

AkcijosMašininis mokymasisInvestavimas pagal veiksniusKinijos rinkos