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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
Alphalens
14 dokumenter
WonderTrader
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 short forum exchange addresses an error in a regression-evaluation workflow that reports a missing label. The response says the problem cannot be diagnosed precisely without details about the task, then recommends first defining what quantity the model…

MaskinlæringStatistikkHistorisk testing
BigQuant

The document records a user’s question about a trading platform’s order function: sell instructions appear to execute at the following day’s close rather than the day they are issued. The issue affects holding-period exits and closing-price take-profit or…

OrdreutførelseHistorisk testingRisikostyring
BigQuant

This report reviews quality-focused Smart Beta investing in overseas and Chinese markets. It describes the approach as an index strategy built from company financial data to capture underlying business quality, then compares product development and index…

FaktorinvesteringAksjerStatistikkHistorisk testing
BigQuant

This report examines fund advisory services in China, including how third-party fund platforms work with licensed asset managers and how advisory services may evolve. It describes the platforms mainly as places where advisory strategies are presented, with…

Kinesiske markederPorteføljekonstruksjonAksjerRentepapirer
BigQuant

The article examines whether dividend announcements convey information about future company earnings. It argues that prior studies may have missed this link by grouping earnings by fiscal year, which can treat post-announcement earnings as already known.…

AksjerHendelsesdrevet handelStatistikkAmerikanske markeder
BigQuant

This document describes a chart indicator that draws support, resistance, and trend lines over a configurable number of bars. It was initially used within a short-term scalping approach on five- and fifteen-minute charts, and later as a standalone indicator…

Tekniske indikatorerKursbrudd
BigQuant

This article explains random forests through CART decision trees, Gini impurity, bootstrap sampling, and aggregation. Trees are trained on resampled data, while their predictions are combined by voting for classification or averaging for regression. It also…

AksjerMaskinlæringFaktorinvesteringHistorisk testing
BigQuant

This report compares ways to measure similarity among funds, including cosine similarity, Euclidean distance, and return correlations. It argues that the choice of measure should follow the intended meaning of “similar”: resemblance in holdings structure,…

Flere aktivaklasserPorteføljekonstruksjonStatistikkHistorisk testing
BigQuant

This short discussion explains how to compute a running total of traded amount separately for each stock in a multi-instrument dataset. A single cumulative sum across the full table combines all instruments, so the suggested approach groups rows by…

AksjerStatistikk
BigQuant

The document introduces factor research as a way to study characteristics that may help explain the returns and risks of financial assets. It names market capitalization, quality, momentum, low volatility, and yield as examples of factors that researchers…

FaktorinvesteringStatistikkPorteføljekonstruksjonRisikostyring
BigQuant

This example implements a Dual Thrust breakout strategy on a futures contract using daily bars. It calculates a range from the prior five completed sessions: the larger of the highest high minus the lowest close, or the highest close minus the lowest low.…

FuturesKursbruddTrendfølgende handelOrdreutførelse
BigQuant

This research note outlines an extension to traditional risk parity. Standard risk parity assigns equal contributions to portfolio volatility, but this approach accounts for only variance and can leave exposure to skewness and kurtosis uneven. Those higher…

Flere aktivaklasserPorteføljekonstruksjonRisikostyringStatistikk
BigQuant

The document summarizes research on whether investors react differently to corporate announcements made before major holidays. The study examines US stock repurchases, equity issuance, mergers, and quarterly earnings announcements from 1984 to 2012,…

AksjerHendelsesdrevet handelMarkedssentimentStatistikk
BigQuant

The document catalogs the 158 Alpha158 features used in quantitative equity research. It groups formulas into candlestick shape and normalized price features; trend measures such as returns, moving averages, regression slopes, fit, and residuals; and…

AksjerFaktorinvesteringTekniske indikatorerStatistikk
BigQuant

This report describes a multi-factor event rotation approach for finding stock-related events that may be attracting market attention. It considers events involving shareholder behavior, dividend policies, earnings forecasts and growth reports, and private…

AksjerHendelsesdrevet handelFaktorinvesteringStatistikk
BigQuant

This essay argues that traders should pass on marginal setups and act only when a trade strongly meets their criteria. It frames selectivity as a way to reduce unnecessary decisions and make accepting losses more manageable. It also emphasizes studying wins…

RisikostyringStatistikk
BigQuant

This research summary describes a method for forecasting year-over-year inventory growth across six products in China’s ferrous commodity chain. It treats inventory as an indicator of relative supply and demand, while noting that true inventory is difficult…

RåvarerKinesiske markederMaskinlæringStatistikk
BigQuant

This brief troubleshooting note explains one cause of an empty-data error in a futures backtest. It says that the exchange’s contract symbol convention matters: for Dalian Commodity Exchange contracts, the letter portion should be lowercase, and using…

FuturesHistorisk testing
BigQuant

This report proposes classifying equity sectors by how their excess returns relate to economic conditions. It questions existing Chinese cyclical and noncyclical sector indexes, then measures lead-lag correlations between China Securities Index industry…

AksjerKinesiske markederFaktorinvesteringHistorisk testing
BigQuant

The document describes a liquidity premium factor built from buy-side limit order book data. For a chosen trade amount, the method simulates execution against displayed orders, adding interpolated virtual orders as needed, and compares the resulting market…

AksjerFaktorinvesteringMarkedsmikrostrukturStatistikk
BigQuant

This article proposes interpreting a sharp drop after a news-driven, limit-up move as a possible shakeout before another advance. Its suggested filters are a month or more of relatively quiet consolidation with range contained within 20%, a stock near the…

AksjerKinesiske markederKursbruddMomentum
BigQuant

The document introduces Bayes’ theorem as a way to update the probability of an event after receiving new evidence. It defines the prior probability, likelihood, marginal probability, and posterior probability, and gives the formula relating them. It also…

StatistikkMaskinlæringAksjerRisikostyring
BigQuant

This Chinese equities study proposes quantifying unusual intraday stock behavior by measuring how often a stock moves against a market index. It uses correlation as a screening tool to identify these divergence events, then treats them as event-driven…

Kinesiske markederAksjerHendelsesdrevet handelStatistikk
BigQuant

This Chinese-language monthly and weekly product review reports results for several China equity strategies in May 2018. It covers multi-factor index enhancement portfolios linked to the CSI 300 and CSI 500, a short-horizon price-volume model, AI stock…

Kinesiske markederAksjerFaktorinvesteringMomentum