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

10,263 documents

Quant Q&A

The document asks how Z-spread and discount margin differ when valuing fixed-rate and floating-rate bonds. It describes Z-spread as a parallel shift applied to the zero-rate curve and notes the common association of Z-spread with fixed-rate notes and…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document explains how to translate annualized implied volatility into a one-period price move. Under the Black–Scholes interpretation, volatility is the standard deviation of log returns, so a sigma-scaled move is expressed by multiplying the current…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document considers whether single precision is adequate for option pricing and related calculations, including Black–Scholes pricing, implied volatility solved by Newton–Raphson, and volatility smile fitting with Levenberg–Marquardt. It frames the…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document explains the no-arbitrage condition in a one-period binomial stock model: the risk-free gross return must lie between the down and up factors. It addresses a question about borrowing shares to short when deriving one bound, and whether the short…

ArbitrageDerivatives pricingRisk management
Quant Q&A

The document considers whether a call option's quoted price can determine the price of a put with a different strike, when both share the same underlying, expiry, and volatility assumptions. In the stated zero-rate example, the call has spot 20, strike 25,…

OptionsDerivatives pricing
Quant Q&A

The document asks how to obtain a reliable benchmark for American option values under the Heston stochastic-volatility model, with the goal of assessing bias in least-squares Monte Carlo (LSM). It considers a stochastic-volatility binomial model but asks for…

OptionsDerivatives pricingVolatilityBacktesting
Quant Q&A

The document surveys how option theory can represent real assets and corporate financing decisions. Models may combine the option to invest in growth, debt and equity issuance, and an endogenously chosen default threshold. This framework extends the…

OptionsFixed incomeDerivatives pricingRisk management
Quant Q&A

The document raises a numerical modeling concern about the transition from LIBOR-linked instruments to SOFR-linked instruments. Since SOFR compounds and resets daily, a model that previously used monthly time steps for multi-year instruments may introduce…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document examines a perceived failure of self-financing in a two-period binomial model. The question computes the portfolio value before and after rebalancing and obtains a nonzero difference, using this as evidence that the strategy may require outside…

Derivatives pricingOptionsStatistics
Quant Q&A

The document explains that conventional CDS spreads are quoted in basis points as an annual rate on the protected notional. It illustrates the quote with a five-year contract and a 75-basis-point spread, where protection on USD 10 million corresponds to USD…

Fixed incomeDerivatives pricingRisk management
Quant Q&A

The document explains why a derivative’s discounted value can be a martingale under a risk-neutral measure even though an arbitrary function of a martingale need not be one. In a Black–Scholes setting, it represents the derivative through a self-financing…

Derivatives pricingOptionsStatistics
Quant Q&A

The document considers replacing random scenario generation with equally spaced probability points when estimating a terminal payoff distribution, using a European call as an example. In a single-variable setting, mapping quantiles through a payoff can be…

Derivatives pricingStatisticsOptions
Quant Q&A

The document clarifies how to classify a LIBOR market model extended with stochastic volatility. Adding a stochastic variance or volatility process to the dynamics of forward rates makes the resulting model a stochastic volatility model. The framework is…

Fixed incomeVolatilityDerivatives pricing
Quant Q&A

The document outlines how to test whether an exponential process built from a biased random walk is a martingale, submartingale, or supermartingale. It first specifies the natural filtration generated by the walk so the process is adapted, and notes that…

StatisticsDerivatives pricingRisk management
Quant Q&A

The document addresses a practical interest rate swap carry calculation and clarifies the role of a six-month discount factor. It describes calculating upfront carry as the difference between the five-year swap rate and six-month Euribor, multiplied by the…

Fixed incomeCarryDerivatives pricingStatistics
Quant Q&A

The document explains why a currency hedge can have an apparent annual cost even when a forward contract produces no profit or loss if the exchange rate at maturity matches the agreed forward rate. The key point is that the forward rate already reflects the…

ForexFixed incomeCarryDerivatives pricing
Quant Q&A

The document examines the stochastic process of a dividend-paying stock and a delivery contract that represents receiving the stock at a future date. It focuses on applying Ito's lemma to the contract value, defined as the stock price adjusted for dividends…

OptionsDerivatives pricingStatistics
Quant Q&A

The document discusses how a derivatives desk can explain changes in position value and compare model-based P&L with movements attributed to risk factors. One response recommends risk-theoretical P&L, using a Taylor-series approximation based on…

Derivatives pricingRisk managementStatistics
Quant Q&A

The document explains the setup behind a pricing equation for contingent claims whose value depends on both a commodity spot price and a stochastic convenience yield. The yield follows mean-reverting dynamics, and its shocks are correlated with spot-price…

CommoditiesDerivatives pricingRisk management
Quant Q&A

This discussion explains why delta alone cannot uniquely identify an option strike. Delta is calculated from an option pricing model and depends on inputs such as spot, maturity, rates, option type, and volatility. To invert a reported delta for strike, the…

OptionsVolatilityDerivatives pricing
Quant Q&A

This discussion diagnoses a mismatch between a foreign exchange vanilla option price calculated with a Black–Scholes framework and a Bloomberg quote. The replies focus on conventions that can materially change the result: whether the exchange rate is quoted…

ForexOptionsDerivatives pricing
Quant Q&A

The answer introduces several Fourier approaches to option pricing and explains what mathematical background helps make them understandable. Carr–Madan transforms a damped option-price function across log strikes; other methods transform the risk-neutral…

OptionsDerivatives pricingStatistics
Quant Q&A

The document explains common ways leveraged exchange-traded funds obtain exposure, using a fund targeting three times the Nasdaq 100's daily performance as an example. It describes the use of futures, swaps, borrowing, and underlying securities, while noting…

EquitiesFuturesDerivatives pricingRisk management
Quant Q&A

The question distinguishes a market quotation for a swap spread from the customized fixed rate a company might negotiate when swapping its own borrowing costs. It asks whether a borrower’s credit margin over the floating benchmark changes the swap spread…

Fixed incomeDerivatives pricing