Skip to content

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 discussion considers whether distribution fitting for financial returns should use simple percentage returns, log returns, or standardized observations. The accepted response favors percentage returns when fitting distributions such as Student’s t,…

StatisticsRisk managementBacktesting
Quant Q&A

This discussion assesses how much quantitative finance is covered by actuarial professional exams. It describes a progression from foundational financial engineering topics, such as portfolio theory, asset pricing, binomial models, stochastic calculus, and…

Derivatives pricingStatisticsFixed income
Quant Q&A

The discussion gives several reasons pension funds may hold bonds even when yields are near zero. Some investors expected rates to remain low or turn negative, so bonds could still appreciate if yields fell. Evaluating that choice only after rates changed…

Fixed incomePortfolio constructionRisk management
Quant Q&A

This explanation distinguishes quoted prices from the amounts actually paid for Treasury bills and bonds. For Treasury bills, the quoted price is calculated from the cash price using a convention based on a nominal value of 100 and the bill’s remaining…

Fixed incomeUS markets
Quant Q&A

The document asks how to obtain accurate intraday foreign-exchange data for analysis in R. One response points to an R package as a way to access FX data directly, potentially avoiding a separate Java download and CSV import workflow. Another response…

ForexStatisticsBacktesting
Quant Q&A

The document considers whether a risk system can simplify a multicallable bond by treating an assumed call date as its maturity. For small interest-rate sensitivity calculations, one possible shortcut is to identify the exercise date associated with yield to…

Fixed incomeRisk managementOptionsStatistics
Quant Q&A

The document discusses hedging a perpetual up-and-out call with a strike of 110 and barrier of 120. One proposed static hedge buys stock in an amount intended to cover the option’s maximum intrinsic payoff at the barrier. This is a buy-and-hold superhedge…

OptionsDerivatives pricingRisk managementVolatility
Quant Q&A

The document explains how to aggregate duration and yield when a fixed-income portfolio contains long and short positions. Its core method is a weighted sum of each position’s duration, using signed weights based on position market value and a chosen…

Fixed incomePortfolio constructionRisk managementDerivatives pricing
Quant Q&A

The document raises the question of how to incorporate GARCH volatility forecasts into a Markowitz mean-variance portfolio optimization. The investor’s existing process estimates expected returns and a variance-covariance matrix, then seeks a portfolio with…

Portfolio constructionVolatilityStatistics
Quant Q&A

The document explains why realized index fixings must be supplied when building or using interest-rate curves for swaps with floating coupons. A fixing is needed when the index’s fixing date has already passed by the valuation date, even though the coupon…

Fixed incomeStatistics
Quant Q&A

The document discusses which financing rate belongs in option valuation and whether call and put quotes can be used to infer it. It starts from European put-call parity, then compares that relationship with observed option bids. One answer says the inferred…

OptionsDerivatives pricingArbitrage
Quant Q&A

This question asks whether a bilateral credit support annex can define different eligible collateral for each counterparty. Its example has one party posting US dollars or Treasury securities and the other posting euros or German government bonds. It also…

Fixed incomeDerivatives pricingRisk management
Quant Q&A

This discussion explains how to interpret at-the-money swaption volatility quoted under normal and Black conventions. Normal volatility is expressed in rate units, commonly basis points, while Black volatility is relative to the forward swap rate. The…

OptionsFixed incomeDerivatives pricingVolatility
Quant Q&A

This question considers how to express a fund’s return as a distance from an expected mean in standard deviation units. For a standalone fund, it gives the familiar return-over-volatility calculation, with annualization by the square root of time when…

StatisticsRisk management
Quant Q&A

This question describes fitting a time-varying multifactor return model with a Kalman filter in R. The example uses a hedge fund return series and two benchmark factors, estimates observation and state variances by maximum likelihood, then filters and…

Factor investingStatisticsEquities
Quant Q&A

The document asks how collateral remuneration, repo, and unsecured bank funding rates relate in post-crisis derivatives pricing, referring to a paper by Vladimir Piterbarg. It defines the collateral rate as the rate paid on posted collateral, the repo rate…

Fixed incomeDerivatives pricingRisk management
Quant Q&A

The document raises a derivatives calibration question by analogy with joint modeling of the S&P 500 and VIX. Since the VIX is derived from S&P 500 options, the author asks whether the Euro Stoxx 50 and VSTOXX should likewise be calibrated together. The…

EquitiesOptionsVolatilityDerivatives pricing
Quant Q&A

The document seeks practice material for quantitative finance interviews, with particular interest in stochastic calculus, partial differential equations, derivations such as the Fokker–Planck equation, and exercises with solutions. The accepted response…

Statistics
Quant Q&A

The document asks whether automated trading strategies tend to make or lose money and seeks comparative tests of simple strategies on historical data. It offers no such benchmark study or measured performance results. Instead, one response describes a…

BacktestingRisk management
Quant Q&A

The document addresses whether Python users can price compound options through QuantLib's CompoundOption class. The accepted answer reports that the class is not exposed in the Python module: attempting to access it through the QuantLib namespace raises an…

OptionsDerivatives pricing
Quant Q&A

The document clarifies competing conventions for dollar gamma. It distinguishes dollar gamma, commonly expressed as gamma multiplied by the square of the underlying price, from the half-dollar-gamma coefficient used in the second-order approximation of…

OptionsDerivatives pricingVolatilityRisk management
Quant Q&A

The document discusses how phoenix and snowball autocallable notes can be valued and hedged. It describes the note price as a combination of a zero-coupon bond, coupon exposure, a short down-and-in put that may be terminated by autocall, and issuer profit.…

OptionsDerivatives pricingVolatilityRisk management
Quant Q&A

The document explains one way to model dependence between two Poisson processes: construct each from its own independent arrivals plus a shared Poisson process. If the processes are M = X + Z and N = Y + Z, the shared component Z creates simultaneous jumps.…

Statistics
Quant Q&A

The document describes building a six-month sterling Libor yield curve in QuantLib from a deposit quote and swap rates, then asks how to incorporate forward rate agreements. It shows the existing curve-building setup and its resulting spot-rate table,…

Fixed incomeForexDerivatives pricingBacktesting