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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

10,263 documents

Quant Q&A

The document considers a bond with a call and a put exercisable on the same date, using different strikes to illustrate how the embedded options affect value. Under its stated assumptions—a forward bond price of 100 and no discounting—the example values the…

Fixed incomeOptionsDerivatives pricing
Quant Q&A

The document describes an attempt to infer local volatility from synthetic option prices generated under a Heston stochastic volatility model. Prices are computed with the COS method, while finite differences estimate the time derivative of call prices and…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document defines Day One Profit or Loss as the difference between a financial instrument’s transaction price and its estimated fair value when a deal begins. It says fair value is typically estimated from market data and valuation models. The concept can…

Derivatives pricingRisk managementStatistics
Quant Q&A

The document describes using a normal, or Gaussian, model to price caplets and floorlets when rates can be negative. Under the stated setup, the forward rate evolves as a Gaussian martingale with constant absolute volatility, so its value at expiry has a…

Fixed incomeOptionsDerivatives pricingVolatility
Quant Q&A

The document explains why options on the same underlying can imply different volatilities across strikes even though the Black-Scholes model assumes constant volatility. It presents several interpretations: the smile can reflect model misspecification,…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The discussion considers whether high-dimensional Sobol sequences are practical for large market simulations and Monte Carlo pricing, where the required dimension may exceed the limits of common implementations. One answer points to established Sobol…

StatisticsBacktestingOptionsDerivatives pricing
Quant Q&A

The document explains why foreign exchange option data may arrive as volatility quotes and delta-based smile points rather than as a ready-made table of implied volatilities by strike and maturity. In much of the over-the-counter market, options are quoted…

ForexOptionsVolatilityDerivatives pricing
Quant Q&A

The document derives a static option replication for a payoff equal to the square of a non-dividend-paying stock’s terminal price. It rewrites the square as twice the integral, over strikes from zero to infinity, of the call payoff at each strike. This…

OptionsDerivatives pricingStatistics
Quant Q&A

The document addresses how a T-forward measure can be used when a directly observed zero-coupon bond for the required maturity is unavailable. It explains that market curves are built from instruments spanning different horizons: spot borrowing rates anchor…

Fixed incomeDerivatives pricingFuturesStatistics
Quant Q&A

The document explains why standard CDS settlement after a credit event does not generally depend on the trade’s original coupon or upfront payment. Those amounts reflect the trade’s earlier mark-to-market and are treated as historical once the event occurs.…

Fixed incomeDerivatives pricingEvent-drivenRisk management
Quant Q&A

The document asks whether a double-barrier knock-out call can be assembled from an up-and-out option and a down-and-out option. The accepted response says this decomposition does not work: satisfying one barrier condition does not by itself enforce both…

OptionsDerivatives pricing
Quant Q&A

The document discusses the arbitrage-free valuation of a claim paying a power of the terminal stock price in the standard Black–Scholes model. The questioner applies Itô’s lemma first to the power process and then to its logarithm, but obtains an exponent…

OptionsDerivatives pricingVolatility
Quant Q&A

The document examines whether the conditional covariance of two assets at a later date can be decomposed by conditioning on their forward values at an intermediate expiration. It starts from the usual expression for covariance as the conditional expectation…

StatisticsFuturesDerivatives pricing
Quant Q&A

The document outlines a way to reconcile instrument identifiers when OTC derivative trades arrive from systems using Bloomberg and Refinitiv symbols. Its proposed first check is to compare ISINs when both are supplied, then consult an internal lookup table…

Derivatives pricingExecutionMarket microstructure
Quant Q&A

The document explains why the expected return, or drift, of a stock does not appear in the standard Black–Scholes option pricing formula. Under the model's assumptions, a replicating hedge removes the underlying's risk, so no-arbitrage pricing values the…

OptionsDerivatives pricingStatistics
Quant Q&A

The document asks why the Feynman–Kac theorem can be applied to a derivatives valuation partial differential equation that includes minimum and maximum terms. The displayed equation models an adjustment value with bilateral counterparty default intensities,…

Derivatives pricingStatisticsRisk management
Quant Q&A

The document asks whether a European call is worth more when volatility is random with a given mean than when volatility is fixed at that mean. It introduces Jensen’s inequality as the key tool: if the option price is a convex function of volatility, then…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document investigates the integrated value of a call option across maturities, defined as the time integral of its price, and asks why its leverage ratio becomes hump-shaped near the at-the-money spot level under low initial variance in the Heston model.…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document asks which terminal stock-price distributions can serve as risk-neutral pricing distributions in a frictionless market with a constant interest rate and a non-dividend-paying stock. No-arbitrage fixes the distribution’s expected value to the…

OptionsStatisticsDerivatives pricing
Quant Q&A

The document evaluates a calculation that uses a mean-reverting short-rate process to explain a particular future long-term Treasury yield. It confirms that the displayed closed-form solution applies to a Vasicek process with a constant long-run mean. It…

Fixed incomeRisk managementStatisticsDerivatives pricing
Quant Q&A

The document explains how a LIBOR market model can be used to estimate the future value-at-risk of a portfolio of interest rate swaps. The proposed workflow starts by choosing a time grid and collecting current market rates, then bootstrapping or…

Fixed incomeDerivatives pricingRisk managementStatistics
Quant Q&A

The document addresses a Black–Scholes derivation involving the standard normal density evaluated at d1 and d2. It clarifies that the notation N′(x) refers to the normal probability density function, not to differentiating the expression with respect to…

OptionsDerivatives pricingStatistics
Quant Q&A

This discussion compares Monte Carlo simulation with analytical, partial differential equation, and numerical integration methods for option pricing. Monte Carlo is useful when the model lacks a tractable solution, payoffs depend strongly on the price path,…

OptionsDerivatives pricingStatisticsRisk management