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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
Binance API docs
45 documents
Quantopian lectures
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

20,364 documents

Quant Q&A

The document asks why a portfolio’s simple return is expressed as a weighted sum of its assets’ simple returns, since directly comparing portfolio value at the start and end appears to produce a different formula. The resolution is that portfolio weights…

Portfolio constructionStatisticsMulti-asset
Quant Q&A

The document raises a question about calculating rolling volatility for a PRIIPs category 2 stress scenario. The asker has calculated the initial sequence of log returns but is unsure how to apply the formula shown in presentation slides and reports getting…

VolatilityRisk managementStatistics
Quant Q&A

The document explains why higher volatility can increase the cost of delta-hedging a short option. Its central point is that the volatility used to price an option is an estimate of what the underlying will realize over the option’s life. If actual realized…

OptionsVolatilityRisk managementDerivatives pricing
Quant Q&A

The document explains how forward delta for a vanilla foreign-exchange option relates to a hedge using a forward contract. Under the stated Black pricing setup, differentiating the call value with respect to the outright forward rate gives a discounted…

ForexOptionsDerivatives pricingRisk management
Quant Q&A

The document asks whether the Incremental Risk Charge (IRC), especially its treatment of default and rating migration, should be considered market risk or credit risk. It compares IRC with Credit Valuation Adjustment (CVA) and questions whether IRC is better…

Fixed incomeRisk managementStatistics
Quant Q&A

The discussion addresses the lack of a direct implementation for a VECM-GARCH model in R and outlines a possible approximation. First estimate an error-correction term, for example with the Johansen procedure, then specify separate conditional mean and GARCH…

StatisticsVolatilityRisk management
Quant Q&A

The discussion corrects an annualized Sharpe ratio calculation based on 36 monthly observations. For monthly returns, the risk-free rate should also be expressed monthly, and the monthly Sharpe ratio is conventionally scaled by the square root of the number…

Risk managementStatisticsPortfolio construction
Quant Q&A

The Cornish-Fisher expansion approximates a target distribution’s quantiles using a reference distribution and information about the target’s cumulants. In modified VaR applications, it is commonly presented with the normal distribution as the reference and…

Risk managementStatisticsDerivatives pricing
Quant Q&A

The question compares Nasdaq volatility across years using average daily true range (TR). Since the index level changes over time, the author asks whether TR should be converted to a percentage or expressed through logarithms. The response says the right…

VolatilityStatisticsTechnical indicators
Quant Q&A

The document distinguishes registered bond offerings from two exemptions from SEC registration. Registered bonds are registered with the SEC. Rule 144A allows issuers to sell unregistered bonds in the United States to qualified institutional buyers, entities…

Fixed incomeUS markets
Quant Q&A

The document asks whether portfolio optimizers should reshape the covariance of expected-return forecasts, given that forecast covariance can be transformed independently of the market-return risk matrix. The response cautions that raw forecast covariance is…

Portfolio constructionStatisticsRisk management
Quant Q&A

The document explains when early exercise changes the value of American options on a non-dividend-paying underlying. Under the no-arbitrage assumption and a nonnegative risk-free rate, early exercise of a call is not optimal because it gives up remaining…

OptionsDerivatives pricing
Quant Q&A

The document considers how to assess quantitative finance’s role in global markets and why attributing market earnings or losses to it is difficult. A central challenge is defining what counts as quantitative finance: possible categories range from…

Multi-assetStatisticsMarket microstructure
Quant Q&A

The document outlines ways high-frequency traders can structure equity trading to manage commissions and exchange fees. One route is direct exchange access through a broker identifier, allowing a firm to pay or receive the exchange’s active or passive fees…

High-frequency tradingExecutionMarket microstructureEquities
Quant Q&A

The document describes applying principal component analysis to changes in the yield curve. The main purpose is to identify a small set of dominant movement patterns that can provide a concise language for describing curve risk. The patterns cited are…

Fixed incomeStatisticsRisk management
Quant Q&A

The document explains why a short-rate model may be used to value bonds and swaps even when their cash flows have no embedded options. A correctly calibrated model must reproduce the present value obtained by discounting fixed cash flows against the spot…

Fixed incomeDerivatives pricingOptions
Quant Q&A

The document raises a question about factor exposures when constructing equal-weighted and value-weighted benchmark portfolios from a cleaned set of U.S. listed firms. The portfolio universe contains firms across AMEX, NYSE, and NASDAQ, with membership…

EquitiesFactor investingPortfolio constructionStatistics
Quant Q&A

The document addresses how to calculate the Relative Strength Index when intraday prices are resampled into longer intervals, such as ten-minute bars, while decisions or updates occur more frequently. It asks whether to rebuild a moving history of bars at…

Technical indicatorsEquitiesStatistics
Quant Q&A

The document discusses reward design for reinforcement learning applied to foreign exchange hedging. A typical objective combines portfolio gains with penalties for risk, such as variation in portfolio value, and for trading costs associated with changes in…

ForexMachine learningRisk managementExecution
Quant Q&A

The document explains how introducing stochastic interest rates changes the uniqueness of a Black–Scholes call price. The key issue is whether the interest rate risk can be traded and hedged. If no claims linked to the stochastic rate are available, the…

OptionsDerivatives pricingFixed income
Quant Q&A

The document asks who drives the accumulation and distribution process associated with Richard Wyckoff, and whether it is led by market makers, insiders, or other large traders. It describes a proposed mechanism in which a large participant sells to trigger…

Market microstructureExecutionEquities
Quant Q&A

The document considers a Monte Carlo portfolio analysis in which changing the weights and strikes of put options reduces measures such as expected return and volatility, while Value at Risk sometimes rises. The response says this outcome can be plausible…

OptionsRisk managementPortfolio constructionBacktesting
Quant Q&A

The discussion distinguishes daily rates for recently auctioned Treasury bills from constant-maturity rates. A bill labeled by its original term has less time remaining after issuance, so its quoted market rate reflects the security’s actual remaining…

Fixed incomeUS marketsStatistics
Quant Q&A

The document describes ways to retrieve securities and their identifiers using Bloomberg. Its main suggestion is to use the equity screening function to list active securities, optionally limited to primary listings, then add ISIN and CUSIP as result…

Multi-asset