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 document explains that option Greeks are sensitivities of the Black–Scholes–Merton price to model inputs. It defines delta, gamma, rho, vega, theta, and sensitivity to the dividend rate as partial derivatives, then works through the call delta…

OptionsDerivatives pricingRisk management
Quant Q&A

The document discusses how to identify common risk factors in private markets when asset prices are infrequently observed or unavailable. One suggested route is to describe companies using observable characteristics such as industry, business relationships,…

Fixed incomeStatisticsRisk managementPortfolio construction
Quant Q&A

Put–call parity links prices of European calls and puts with the same strike to the value of a forward contract. With the risk-free rate and time to expiry known, the parity relationship gives the forward price and can be rearranged to infer the asset’s…

OptionsDerivatives pricing
Quant Q&A

The document asks how to choose a probability measure when pricing derivatives with Monte Carlo simulation. It starts from risk-neutral valuation, where price is the discounted expected payoff, and notes that simulations may require modeling state variables…

Derivatives pricingFixed incomeStatisticsBacktesting
Quant Q&A

The document poses an inverse pricing problem: fitting a Black–Scholes model to binary option prices observed across strike prices when the time to maturity, volatility, risk-free rate, and underlying price are all unknown. The stated goal is to predict…

OptionsDerivatives pricingStatistics
Quant Q&A

The document explains why a single expiration payoff diagram may not fully describe a portfolio containing short American-style options or options with different maturities. A short American option can be exercised by its holder before expiration, so the…

OptionsDerivatives pricingRisk management
Quant Q&A

The document presents a derivation of the CAPM by treating the market portfolio as a portfolio on the capital allocation line that maximizes the Sharpe ratio. Under the assumption that investors choose mean–variance efficient portfolios, individual holdings…

StatisticsPortfolio constructionRisk management
Quant Q&A

The document distinguishes the Samuelson effect’s maturity-related volatility pattern from volatility measured directly on futures price levels. The effect concerns returns volatility: nearby commodity contracts are often more volatile than deferred…

CommoditiesFuturesVolatilityStatistics
Quant Q&A

The document explains how to obtain the Radon–Nikodym derivative when changing from a probability measure associated with numeraire M to one associated with numeraire N. The derivation uses the martingale property of asset prices expressed in units of the…

Derivatives pricingStatistics
Quant Q&A

This note addresses the European call formula for a dividend-paying stock and whether an expected stock growth rate should replace dividend yield. It explains that the dividend-adjusted Black–Scholes formulation and a cost-of-carry formulation are equivalent…

OptionsEquitiesDerivatives pricing
Quant Q&A

This note explains why a plain floating-rate bond can have interest-rate duration close to the time until its next coupon reset. Under a single-curve assumption, future coupons are projected from forward rates and discounted using the same curve.…

Fixed incomeDerivatives pricingRisk management
Quant Q&A

The note discusses how options traders describe exposure to changes in implied volatility skew and volatility convexity. Skew refers to differences in implied volatility across strikes, such as between out-of-the-money puts and calls. Traders may…

OptionsVolatilityDerivatives pricing
Quant Q&A

This note clarifies how to set up valuation equations for an asset whose dividends follow a Markov process. Its central distinction is between cum-dividend value, which includes a payment made today, and ex-dividend price, which excludes it. The investor’s…

Multi-assetStatisticsDerivatives pricing
Quant Q&A

The document explains how to generate multivariate Gaussian returns with a target covariance structure. Starting with a vector of independent standard normal draws, apply a matrix square root of the desired covariance matrix. A Cholesky factor is one such…

StatisticsPortfolio constructionBacktesting
Quant Q&A

The discussion describes how to think about risk in a single-currency swap exchanging floating payments based on different tenors, such as six-month and three-month rates. It separates sensitivity to changes in the tenor basis from outright rate delta. A…

Fixed incomeDerivatives pricingRisk management
Quant Q&A

The discussion asks whether traders can profit from the tendency of equity markets to fall quickly and recover more gradually. It explains that this asymmetry is reflected in option prices: downside puts often carry a premium relative to comparable calls. A…

OptionsEquitiesVolatilityRisk management
Quant Q&A

The discussion examines why a zero-fee Euro Stoxx 50 ETF appeared to outperform its benchmark. It identifies securities lending as a possible source of revenue, since an index itself holds no assets to lend. Holding an index portfolio can therefore add…

EquitiesMarket microstructureArbitrageRisk management
Quant Q&A

The document explores representing Brazilian DI1 interest rate futures with rateslib for curve calibration and sensitivity analysis. It proposes a zero-coupon swap representation and distinguishes the futures’ annualized compounded internal rate of return…

FuturesFixed incomeDerivatives pricingStatistics
Quant Q&A

The document examines a proposed monthly regression of year-over-year stock index returns on lagged returns and macroeconomic variables, including credit spreads, inflation, and industrial production. It describes a forecasting setup that uses ARIMA…

EquitiesStatisticsBacktesting
Quant Q&A

The document explains why quasi-Monte Carlo methods use low-discrepancy sequences: these points fill a space more evenly than random samples, reducing large gaps. It defines discrepancy as a measure of how closely the fraction of points in a region matches…

StatisticsBacktestingDerivatives pricing
Quant Q&A

The document explains why hedging a mortgage-backed security with a swap is complicated when the underlying mortgages can be prepaid. Because prepayments depend in part on future interest rates, the security’s outstanding principal and the matching swap…

Fixed incomeDerivatives pricingRisk management
Quant Q&A

The document addresses why a stock’s cumulative return can fall below the risk-free return, even when investors expect equities to earn a premium over time. Its explanation is that risky assets can have poor outcomes over particular periods. The equity…

EquitiesStatisticsRisk management
Quant Q&A

The question seeks a long historical daily closing-price series for the individual companies that made up the Dow Jones Industrial Average, rather than a series for the index itself. The response points to a dataset of intraday one-minute bars covering the…

EquitiesUS marketsBacktesting