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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 how a risky-asset portfolio weight enters wealth dynamics and then the Hamilton-Jacobi-Bellman equation for maximizing expected log wealth. It presents a risky asset whose excess return follows a mean-reverting signal, alongside correlated…

Portfolio constructionRisk managementStatisticsDerivatives pricing
Quant Q&A

The document explains why option delta is generally tied to a particular underlying asset, so a portfolio containing options on different stocks does not have a single ordinary delta obtained by simply adding the component deltas. For a portfolio whose value…

OptionsEquitiesRisk managementPortfolio construction
Quant Q&A

The document compares a rolling historical-volatility calculation with an ARCH(q) specification and asks how to describe each. It distinguishes a direct calculation from a model that assumes a return process and requires parameter fitting. It also mentions…

VolatilityStatistics
Quant Q&A

The document concerns how to design a simulation study comparing hierarchical risk parity with the analytical global minimum variance portfolio formula for stocks. The question highlights that results may depend on assumptions about the covariance structure…

EquitiesPortfolio constructionBacktesting
Quant Q&A

The document asks how to assign equal risk contributions across asset classes in a portfolio that includes nonlinear instruments such as options. One response recommends first converting each instrument into a return stream, estimating risk parameters from…

Risk managementPortfolio constructionOptionsStatistics
Quant Q&A

The document addresses how to simulate the variance process in a Heston-style model when its correlated Brownian driver includes a drift adjustment linked to the wealth process. The proposed approach is to substitute the adjusted Brownian differential into…

VolatilityDerivatives pricingStatistics
Quant Q&A

The document explains why a floating-rate bond’s forecast coupons decline when its QuantLib curve is constructed with simple compounding. The proposed fix is to build the FlatForward curve with compounded or continuous compounding so the quoted rate is…

Fixed incomeDerivatives pricing
Quant Q&A

The document addresses how to calculate swap DV01 under shifts to both a discount curve and a three month USD LIBOR projection curve. The key issue is that the USD LIBOR index used by a vanilla swap takes a yield curve handle, so creating a separate index…

Fixed incomeRisk managementDerivatives pricing
Quant Q&A

The document considers whether a developer with an existing FIX engine should implement a FAST protocol engine from scratch. The only answer advises against building a custom implementation, arguing that established commercial libraries have been tested and…

ExecutionHigh-frequency tradingMarket microstructure
Quant Q&A

The document explains calibration as choosing a model’s parameters so its prices fit observed prices for selected liquid options. A common formulation minimizes the aggregate pricing error across instruments with specified characteristics such as strike and…

OptionsVolatilityDerivatives pricingMarket making
Quant Q&A

The document discusses how an order and position management component should work in automated trading. Its central recommendation is to maintain an internal view of orders, fills, positions, and risk rather than relying entirely on a broker or exchange.…

ExecutionRisk managementMarket microstructure
Quant Q&A

The document explains why reduced-form credit models distinguish a market filtration, containing variables such as rates and asset prices, from a default filtration that records whether and when default occurs. Their join forms the full information set used…

Fixed incomeDerivatives pricingRisk managementStatistics
Quant Q&A

The document outlines the usual discrete-time Black–Scholes delta hedge for a European call on a stock. It sells the option, offsets its delta with a stock position, and places the residual value in a risk-free account. At each step, the stock price is…

OptionsFixed incomeDerivatives pricingRisk management
Quant Q&A

The note evaluates a proposed way to choose an expiration for uncovered puts: maximize option premium divided by days to expiration. It argues that this ratio tends to mechanically favor shorter-dated contracts, because option value generally does not rise…

OptionsVolatilityDerivatives pricing
Quant Q&A

The note clarifies the ingredients in a Hansen–Jagannathan distance calculation and relates the measure to stochastic discount factor pricing. It derives a bound connecting the maximum Sharpe ratio attainable from a set of assets with the volatility-to-mean…

StatisticsRisk managementPortfolio construction
Quant Q&A

The note addresses a basic inference in expected utility analysis: if the marginal utilities at two wealth levels are equal, when can one conclude that the wealth levels themselves are equal? The answer relies on strict concavity of the utility function.…

Statistics
Quant Q&A

The note explains why an inflation-linked bond can show positive carry as its reference index rises. Linker cash flows are tied to index ratios, so an increase in the index raises the value of the indexed component; the realized holding return also reflects…

Fixed incomeCarry
Quant Q&A

The note considers how an NPV function should handle cash flows when the valuation date falls during an instrument’s life. For basic instruments, the accepted answer recommends valuing only future cash flows. For products whose future payoff depends on past…

Fixed incomeDerivatives pricingRisk managementPortfolio construction
Quant Q&A

The note asks how to obtain the first, second, and fourth cumulants of the variance gamma with stochastic arrival model for use in Fourier-cosine option pricing. It defines the model through a characteristic function built from a variance gamma process with…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The note explains why multiplying an option’s current theta by the days remaining can imply more decay than its current time value. It uses a deep in-the-money call as an example: most of its price is intrinsic value, while the quoted time value is small and…

OptionsDerivatives pricingVolatility
Quant Q&A

The note identifies CME 30-day Federal Funds futures as a market instrument for interpreting expectations about Federal Reserve rate decisions. It responds to a question about a reported shift in expected hike timing after China devalued the yuan, pointing…

FuturesFixed incomeUS markets
Quant Q&A

The exchange discusses whether an asymmetric dynamic conditional correlation GARCH model can produce covariance forecasts beyond one day using R’s rmgarch package. The questioner believes the package supports only one-day forecasts and asks how to obtain an…

StatisticsVolatilityBacktesting
Quant Q&A

The document explains where to look for current and completed NYSE delistings. It points readers to the exchange for active delisting information and identifies SEC Form 25 filings as a way to track securities removed from listing. The form notifies the SEC…

EquitiesUS marketsEvent-driven
Quant Q&A

The document asks how fractional Brownian motion (fBm) might be interpreted when it replaces ordinary Brownian motion in a Black–Scholes framework. Its answer focuses less on an economic interpretation and more on a mathematical consequence: fBm is generally…

Derivatives pricingStatisticsArbitrage