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Knowledge library

Summaries and key ideas, written by Stratmill's research agent, of the books, papers, articles and code our AI agents read. Each page links to its original.

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

Search the library

2,013 documents

Quant Q&A

A counterparty risk trading desk monitors the financial exposure a firm has to counterparties across its existing contracts. Its focus differs from a product trading desk: rather than managing price risk within one asset class, it assesses the consequences…

Risk managementMulti-asset
Quant Q&A

The document asks why trade credit extended by a foreign direct investor to an affiliate is classified as investment when it may not pay interest or another explicit return. It places the question within the debt component of foreign direct investment and…

Fixed incomeMulti-asset
Quant Q&A

This response collects resources and outlines ways investors can think about climate-related financial risk across equities, fixed income, derivatives, and portfolios. It distinguishes physical risk from climate impacts, transition risk from policy and…

Multi-assetRisk managementPortfolio constructionEquities
Quant Q&A

The note explains that directional and non-directional risk do not have one universal definition. The classification depends on which price movements a trading desk treats as the relevant market direction. For options traders, exposure to a change in the…

OptionsEquitiesMulti-assetRisk management
Quant Q&A

The document asks how to simulate returns for an allocation among equities, bonds, and cash, including how to handle a lower bound of zero for cash returns and how to combine return and risk assumptions for the two defensive assets. An answer suggests…

Multi-assetFixed incomeEquitiesPortfolio construction
Quant Q&A

The document frames a comparison between two ways of representing dependence among random variables. It describes vine copulas as sequential arrangements of bivariate copulas that can capture layered dependence, then asks how this construction differs from…

StatisticsMulti-asset
Quant Q&A

The document considers portfolio annualization when assets trade on different calendars, using traditional stocks and cryptocurrency as examples. Its central recommendation is to annualize each asset's expected return and covariance contributions using the…

Multi-assetPortfolio constructionRisk managementStatistics
Quant Q&A

The document considers return distributions for portfolios containing multiple asset classes, with the goal of representing skewness and kurtosis as well as mean and variance. It asks for a non-Gaussian distribution whose parameters can describe returns over…

StatisticsMulti-assetVolatility
Quant Q&A

The document discusses an option whose payoff depends on a stock’s performance relative to a dividend-reinvesting index. One response connects the contract to spread options and points to the Margrabe formula for intuition. Another gives the variance of…

OptionsDerivatives pricingVolatilityMulti-asset
Quant Q&A

The document explains how to derive the correlation between two arithmetic baskets from the volatilities and pairwise correlations of their component assets. For two two-asset baskets, it first adds the four cross-basket covariances, expressing each…

Multi-assetStatisticsPortfolio construction
Quant Q&A

This short exchange recommends books for readers seeking a practitioner-oriented history of modern finance and the ideas that shaped current markets. The questioner values accounts that explain the origins of influential concepts and provide context for…

Multi-assetDerivatives pricingOptions
Quant Q&A

The document addresses whether a public line-by-line list of European commercial banks with assets or deposits is available. It explains that central bank and European-level statistics can provide aggregates, while detailed figures for individual smaller…

Fixed incomeMulti-assetStatistics
Quant Q&A

The document explains why translating among exchange tickers, Reuters Instrument Codes, and Bloomberg symbols is not a simple universal lookup. Vendor identifiers often describe a quote on a particular exchange or market, not merely a company or underlying…

EquitiesMarket microstructureUS marketsMulti-asset
Quant Q&A

The document addresses whether an asymmetric dynamic conditional correlation model estimated with the R package rmgarch can provide full ARCH and GARCH parameter matrices that allow volatility spillovers across assets. Its answer distinguishes the DCC…

VolatilityStatisticsMulti-asset
Quant Q&A

The document describes an investor’s attempt to preserve exposure to a UK-listed share by replacing the position with its US dollar ADR. The investor understood each ADR to represent five UK shares and expected to be able to switch back without changing the…

EquitiesForexMulti-asset
Quant Q&A

The document addresses whether portfolio assets should be negatively correlated or mostly uncorrelated. Its central lesson is a mathematical constraint: correlations across many assets cannot all be moderately negative while still forming a valid correlation…

Multi-assetPortfolio constructionStatistics
Quant Q&A

The document explains why a small estimated correlation can become statistically significant as the sample size grows, even when the estimate itself stays unchanged. Significance testing addresses uncertainty in the estimate rather than whether the…

StatisticsMulti-assetEquities
Quant Q&A

The discussion asks whether currencies have a broad passive index comparable to an equity market index, for use in evaluating currency traders. It explains why a universal benchmark is difficult: currency positions are relative long/short exposures, so even…

ForexMulti-assetRisk managementStatistics
Quant Q&A

The document addresses volatility estimation when asset prices are observed at uneven intervals, such as when international market indices have different trading calendars. It explains why dropping dates can combine returns over unequal spans, while carrying…

VolatilityStatisticsEquitiesMulti-asset
Quant Q&A

The document surveys learning resources and possible uses of quantum computing in quantitative finance. It highlights optimization and simulation as areas of interest, including quantum annealing for constrained graph problems that may help represent…

Multi-assetArbitrageDerivatives pricingMachine learning
Quant Q&A

The document answers a question about commercial services that model how global events may affect asset classes and portfolios. It points to major factor risk model providers as an alternative to a macroeconomic scenario service, noting that these providers…

Multi-assetRisk managementPortfolio construction
Quant Q&A

The document considers how to build forward-looking financial stress scenarios for assessing pension fund solvency. The proposed shocks include a lower discounting curve, reduced returns on equities and property, and weaker credit bond returns that vary by…

Risk managementMulti-assetEquitiesFixed income
Quant Q&A

The document discusses estimating correlation delta, also called cega, for a multi-asset derivative by repricing after a small change in an asset-pair correlation. It identifies practical constraints when perturbing a correlation matrix: the matrix is…

Multi-assetOptionsDerivatives pricingStatistics
Quant Q&A

The document clarifies how to interpret asset prices normalized to 100 at the end of the preceding year. The answer describes simple rebasing: divide each later price by its value on the base date and multiply by 100. This expresses subsequent price changes…

Multi-assetStatistics