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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
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

10,263 documents

Quant Q&A

The document explains why market curve calibration and trade valuation can use different collateral assumptions. Its example is a EUR/USD cross-currency swap with basis: the collateral currency affects which discount curves apply to each currency’s cash…

Fixed incomeForexDerivatives pricing
Quant Q&A

The document describes a least squares approach to infer discount factors from a set of benchmark bond prices. It represents each bond price as the sum of its cash flows multiplied by discount factors, then models each discount factor as a polynomial in time…

Fixed incomeStatisticsDerivatives pricing
Quant Q&A

The document describes a proposed tree-based approach for valuing an American call with two possible exercise references: a fixed strike and a floating strike tied to a 10-day moving average. The proposed model tracks both the underlying price and the moving…

OptionsDerivatives pricingVolatility
Quant Q&A

The problem considers a European payoff that pays a fixed amount below a strike and declines as the inverse square of the asset price above it. Under geometric Brownian motion with continuous dividends, the proposed value splits into two discounted…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document collects suggested reading for someone implementing option pricing with Markov chain Monte Carlo methods. One cited paper applies MCMC to continuous-time option models, including constant-volatility, stochastic-volatility, price jump-diffusion,…

OptionsDerivatives pricingMachine learningStatistics
Quant Q&A

The discussion distinguishes risk-neutral preferences from risk-neutral pricing. A risk-neutral investor values uncertain payoffs by their expected value, while a risk-neutral world is a hypothetical setting in which such preferences imply risky assets earn…

OptionsDerivatives pricingStatisticsArbitrage
Quant Q&A

The discussion explains why Gatheral's SVI smile is parameterized in implied variance rather than volatility or total variance. Variance is a natural scale because the model is linear in variance in the far strike wings. This makes the asymptotic slopes,…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The discussion asks whether the Feller condition, expressed through the Heston variance parameters, should be enforced when calibrating option prices. The motivating examples reportedly place the condition close to its boundary, with some parameter sets…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document asks how to obtain discount factors for payment dates that do not align with standard swap payment schedules, using a forward starting long-dated interest rate swap as an example. Such cash flows may fall between dates supported by a…

Fixed incomeDerivatives pricing
Quant Q&A

The document asks how to recover the SABR parameters for the lognormal case, where beta equals one, from the local Taylor expansion of implied volatility around the forward. It labels the constant term as at-the-forward volatility, the linear coefficient as…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The note explains why EURIBOR remains widely used in European swaps and floating-rate notes despite the shift toward overnight risk-free rates such as €STR. It distinguishes EURIBOR from Euro LIBOR: Euro LIBOR was little used and ceased following regulatory…

Fixed incomeDerivatives pricing
Quant Q&A

The document asks how the floating leg of an interest rate swap referencing a risk-free rate is determined over a multi-month accrual period. It contrasts using a forward-looking rate known at the start of the period with compounding daily observed overnight…

Fixed incomeDerivatives pricing
Quant Q&A

The document explains why vega is less straightforward in stochastic volatility models than in Black–Scholes, where volatility is a direct input. It describes two common bump-and-reprice interpretations: a model Greek, formed by perturbing model parameters,…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document describes a question about pricing instruments by simulating share prices with geometric Brownian motion, calculating a payoff on each path, and averaging many simulated payoffs. The author reports that estimates can have very different…

OptionsStatisticsDerivatives pricingRisk management
Quant Q&A

The note derives the Black–Scholes call delta by differentiating the call-price formula with respect to the current stock price. Applying the chain rule produces terms involving the normal density and the sensitivities of the two standardized variables. An…

OptionsDerivatives pricingStatistics
Quant Q&A

The note introduces the Heston stochastic volatility model, in which the stock price and its variance evolve together, with correlated shocks. It gives the risk-neutral characteristic function for log stock price and defines its component expressions. These…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

This explanation motivates common boundary conditions for pricing a European call under the Heston stochastic-volatility model. At maturity, the option equals its payoff; when the underlying price is zero, the call is worthless. As the underlying price…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document frames a Greeks estimation problem for a derivative paying the square root of the positive part of the difference between the terminal stock price and the strike. It assumes geometric Brownian motion and writes the terminal price distribution…

OptionsDerivatives pricingStatistics
Quant Q&A

The document sets up a comparison between two ways to price European calls under the Merton jump-diffusion model: the analytical Poisson-weighted Black–Scholes series and a numerical Carr–Madan Fourier inversion. It outlines the characteristic function, the…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document explains intuitive bounds on VIX futures using forward-starting volatility and variance swaps. A volatility swap reflects expected future volatility, while a variance swap reflects expected squared volatility. Because the square-root function is…

FuturesVolatilityDerivatives pricingArbitrage
Quant Q&A

The document poses a pricing question for an American put on a non-dividend-paying stock. Its strike declines over time at the risk-free rate, and the stock is assumed to have constant volatility. This setup makes the contract different from a standard…

OptionsDerivatives pricingVolatility
Quant Q&A

The document introduces binomial trees as discrete-time, lattice-based models for option valuation. At each step, the underlying instrument is assumed to have two possible price moves, producing a branching set of possible paths through time. This structure…

OptionsDerivatives pricingStatistics
Quant Q&A

The document explores whether probability distributions can be derived as solutions to differential equations, motivated by the Black–Scholes–Merton model. It questions whether dynamic hedging is best understood as a modeling assumption that leads to an…

OptionsDerivatives pricingStatistics
Quant Q&A

The document outlines single-curve construction from market quotes for instruments such as deposits, forward rate agreements, futures, and swaps. A parameterized discount curve is fitted by repricing those instruments, typically through optimization over…

Fixed incomeDerivatives pricingStatisticsRisk management