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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
WonderTrader
14 documents
Alphalens
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

8,116 documents

Quant Q&A

The document lays out a broad study checklist for financial risk management. Its product areas include fixed income, equities, currencies, commodities, exotics, and credit derivatives. The concepts span risk and return, hedging, risk neutrality, no-arbitrage…

Multi-assetFixed incomeOptionsRisk management
Quant Q&A

The document asks what options are represented by root symbols that begin with a digit and end with a stock ticker, using an adjusted-options example in which a root differs from the underlying ticker. The answer identifies these series as Flex options. Flex…

OptionsDerivatives pricing
Quant Q&A

The document distinguishes quantifiable risk, Knightian uncertainty, and Black Swan events using examples from option and credit pricing. One explanation treats ordinary risk as an event with a probability that can be estimated from market prices, Knightian…

Risk managementStatisticsOptionsFixed income
Quant Q&A

The document explains how the Carr–Madan identity represents a sufficiently smooth terminal payoff using a fixed component, a linear exposure to the underlying, and a continuum of puts and calls across strikes. The terminal price is a random future value in…

OptionsDerivatives pricingVolatility
Quant Q&A

The document explains how a long option’s gamma profit and loss relates to realized volatility versus the implied volatility used to price it. Under the stated continuous hedging formula, the gamma component is positive when realized variance exceeds implied…

OptionsVolatilityDerivatives pricingExecution
Quant Q&A

The note examines whether Rebonato’s swaption volatility approximation works only near the money. The questioner compares Black prices using the approximation with Monte Carlo prices, reporting larger discrepancies for strikes farther from at-the-money in…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document connects the elliptic form of the Heston stochastic volatility operator to a boundary value problem with Dirichlet conditions. It explains that solutions to obstacle problems for this operator can represent value functions for perpetual…

OptionsDerivatives pricingVolatilityFixed income
Quant Q&A

The note derives a Monte Carlo estimator for a European log-contract whose terminal payoff is the logarithm of the asset price relative to its initial price. Under risk-neutral Black–Scholes dynamics, Itô’s lemma gives a lognormal terminal asset price, which…

OptionsDerivatives pricingStatisticsBacktesting
Quant Q&A

The document considers why the Black–Scholes stock-price expression includes volatility while its expected price growth appears independent of volatility. It asks whether this means investors should accept a risky asset whose expected return equals the…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document asks whether the Poisson-mixture formula used to price European options under Merton’s jump-diffusion model can also price American options. For European contracts, the cited formula weights Black–Scholes prices adjusted for the number of jumps…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document explains how to interpret a table reporting the risk of a dynamically delta-hedged option position. It describes simulating stock-price paths at the stated weekly frequency, computing the option delta at each step, and adjusting the share…

OptionsDerivatives pricingVolatilityRisk management
Quant Q&A

The document collects suggested reading for an internship in model risk management focused on counterparty credit risk, especially exposure from derivatives. Its references cover modeling, pricing, and hedging counterparty exposure; credit valuation…

Derivatives pricingRisk managementOptionsFixed income
Quant Q&A

The document discusses how to compare the VIX with realized volatility calculated from daily S&P 500 index prices. The questioner computes rolling volatility from log returns, annualizes it using the square root of 252, and asks whether a 30-day or roughly…

VolatilityOptionsUS marketsStatistics
Quant Q&A

The document explains how risk-neutral probabilities in a binomial valuation tree are tied to the asset's forward price. For a stock with continuous dividend yield, the expected next-step stock price under the risk-neutral measure should equal the forward…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document seeks practical examples of spreadsheet and database applications used on trading desks or in bank middle offices, particularly to prepare for interviews. Responses point to several kinds of learning material: QuantLib as a source of tested…

OptionsFixed incomeBacktesting
Quant Q&A

The document presents a Python and QuantLib problem: a dividend-paying American option returns zero for its net present value and Greeks despite inputs that should produce nonzero values. The code builds an American exercise option, supplies discrete…

OptionsDerivatives pricingMachine learningStatistics
Quant Q&A

The response addresses the difficulty of selling an out-of-the-money monthly call or put after its trading volume falls and its bid-ask spread widens. A theoretical price from Black-Scholes does not ensure that a buyer is available at that price, so a sell…

OptionsExecutionRisk managementDerivatives pricing
Quant Q&A

The document describes a performance problem encountered while simulating a swaption strategy in Python with QuantLib. Updating the global evaluation date is initially quick, but repeated changes make the operation take much longer. The response attributes…

OptionsDerivatives pricing
Quant Q&A

The document describes an attempt to price calls and puts with Black–Scholes using historical volatility. Prices near the underlying stock price appear close to observed prices, while estimates farther away diverge. The author calculates implied volatility…

OptionsDerivatives pricingVolatility
Quant Q&A

The document asks whether adjoint automatic differentiation (AAD) can estimate sensitivities when a pricing payoff has a nondifferentiable point, such as a range accrual payoff. It outlines approaches discussed in research: differentiate the recurrence in a…

OptionsDerivatives pricingStatistics
Quant Q&A

The document explains an approximate way to relate the duration of a call option on a fixed-income instrument to the duration of the underlying bond. It scales the bond’s duration by the option’s elasticity, calculated from the option delta, underlying…

OptionsFixed incomeDerivatives pricingRisk management
Quant Q&A

The document explains the source of a one-half term in a Fourier-based option-pricing derivation. It gives the Gil-Pelaez inversion formula, which relates an integral involving the real part of a characteristic function to the probability that the terminal…

OptionsDerivatives pricingStatistics
Quant Q&A

The document examines why an option’s expected payoff cannot simply be discounted at the risk-free rate under the real-world probability distribution. The underlying asset is risky too, and its expected growth rate is uncertain and potentially dependent on…

OptionsDerivatives pricingArbitrage
Quant Q&A

The document considers whether antithetic variates must produce a positive Monte Carlo estimate for a European call when every payoff from the original simulated draws is zero. The answer is no: pairing each draw with its antithetic counterpart does not…

OptionsDerivatives pricingBacktestingStatistics