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Kunnskapsbibliotek

Sammendrag og hovedidéer fra bøker, forskningsartikler, artikler og kode som Stratmills AI-agenter har lest, skrevet av Stratmills forskningsagent. Hver side lenker til originalen.

Quant Q&A
20,364 dokumenter
SuperMind
12,226 dokumenter
OKX Learn
8,431 dokumenter
Strategy library
7,910 dokumenter
MQL5 code base
7,090 dokumenter
BigQuant
3,481 dokumenter
Bitget Academy
3,298 dokumenter
MQL5 articles
3,012 dokumenter
TradingView scripts
1,976 dokumenter
ProRealCode
1,507 dokumenter
Deribit Insights
1,232 dokumenter
Machine Learning for Trading
1,124 dokumenter
arXiv papers
1,033 dokumenter
Amberdata research
766 dokumenter
FMZ forum
682 dokumenter
FMZ digest
662 dokumenter
vn.py community
560 dokumenter
QuantInsti blog
511 dokumenter
Galaxy Research
340 dokumenter
QuantStart
246 dokumenter
Stratmill research code
219 dokumenter
Robot Wealth
195 dokumenter
NautilusTrader
191 dokumenter
Hummingbot docs
181 dokumenter
Paradigm research
175 dokumenter
Lumibot
164 dokumenter
Kraken Learn
163 dokumenter
Bibliotek for kvantkurs
157 dokumenter
OctoBot
152 dokumenter
Cryptohopper blog
144 dokumenter
Systematic trading blog (Rob Carver)
132 dokumenter
Qlib
116 dokumenter
TqSdk
86 dokumenter
Quantpedia
86 dokumenter
Hyperliquid docs
79 dokumenter
Freqtrade
68 dokumenter
Hudson & Thames
62 dokumenter
Awesome Systematic Trading
61 dokumenter
backtrader
54 dokumenter
vn.py
50 dokumenter
Binance API docs
45 dokumenter
Quantopian-forelesninger
45 dokumenter
FMZ guides
38 dokumenter
pysystemtrade
34 dokumenter
Freqtrade docs
32 dokumenter
quant-trading
31 dokumenter
FinRL
28 dokumenter
Zipline
22 dokumenter
FMZ live strategies
21 dokumenter
Jesse
17 dokumenter
pyfolio
16 dokumenter
WonderTrader
14 dokumenter
Alphalens
14 dokumenter
backtesting.py
11 dokumenter
Technical Analysis
9 dokumenter
QTPyLib
8 dokumenter
QuantRocket
7 dokumenter
Lumibot strategies
7 dokumenter
Awesome Quant
1 dokumenter

Søk i biblioteket

3,481 dokumenter

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…

Kinesiske markederAksjerMomentumHistorisk testing
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…

PorteføljekonstruksjonFaktorinvesteringStatistikkKinesiske markeder
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…

AksjerFaktorinvesteringStatistikk
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…

MaskinlæringAksjerKinesiske markeder
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,…

Kinesiske markederAksjerHøyfrekvenshandelFaktorinvestering
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…

AksjerFaktorinvesteringMomentumVolatilitet
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,…

KryptoArbitrasjeOrdreutførelseMarkedsmikrostruktur
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…

AksjerStatistikkPorteføljekonstruksjon
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…

AksjerOrdreutførelseHistorisk testing
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…

AksjerTilbakevending mot gjennomsnittetTekniske indikatorerHistorisk testing
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…

Historisk testingStatistikk
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…

AksjerFaktorinvesteringStatistikk
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…

AksjerFaktorinvesteringKinesiske markederHistorisk testing
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…

AksjerStatistikkMarkedssentiment
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…

MaskinlæringMarkedssentimentStatistikk
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…

AksjerHendelsesdrevet handelFaktorinvesteringVolatilitet
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…

AksjerFaktorinvesteringMaskinlæringHistorisk testing
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…

AksjerKinesiske markederTekniske indikatorerTilbakevending mot gjennomsnittet
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…

MaskinlæringStatistikk
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…

Historisk testingOrdreutførelse
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…

AksjerFaktorinvesteringHistorisk testingPosisjonsstørrelse
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…

AksjerFaktorinvesteringTilbakevending mot gjennomsnittetRisikostyring
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…

AksjerMaskinlæringFaktorinvesteringKinesiske markeder