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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 discussion asks how a trader should decide whether to exercise a physical Bermudan swaption as an exercise date approaches. The accepted answer distinguishes a necessary condition from a sufficient exercise rule. For a receiver swaption, exercising at an…

Fixed incomeOptionsDerivatives pricingRisk management
Quant Q&A

The post examines a motivation for the SABR model: local volatility models are said to predict implied-volatility smile movements opposite to those observed in markets, whereas the original SABR paper is described as moving the smile in the same direction as…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document presents a Python implementation of an explicit finite-difference scheme for the Black-Scholes equation, applied to a European call. It lays out a stock-price grid and a time grid, initializes terminal values with the call payoff, and steps…

OptionsDerivatives pricingBacktestingStatistics
Quant Q&A

The document explains the meaning of state-contingent prices in a two-period asset-pricing setup. A security associated with a particular future state pays one unit if that state occurs and nothing in other states; its price today is the price of that…

Multi-assetDerivatives pricingStatistics
Quant Q&A

The document raises a conceptual question about a standard optimal stopping result: for a Markov process, the value function is characterized as the smallest superharmonic function that dominates the payoff. The author questions how this can hold when some…

OptionsDerivatives pricingStatistics
Quant Q&A

The document explains the arbitrage implied when a European put's price exceeds its strike, assuming the underlying asset price cannot fall below zero. A put's payoff at maturity is capped at the strike, so a seller's maximum payment is no greater than that…

OptionsArbitrageDerivatives pricing
Quant Q&A

The question compares a model-free volatility expression based on option prices across strikes with implied volatility obtained by inverting the Black–Scholes pricing formula. The answer clarifies that the two quantities represent different concepts. The…

OptionsVolatilityDerivatives pricing
Quant Q&A

The note distinguishes option valuation from deciding whether to buy shares. Black–Scholes prices an option under assumptions about the underlying price, volatility, rates, and time to expiry; it does not by itself produce a fundamental value or directional…

EquitiesOptionsDerivatives pricingRisk management
Quant Q&A

The note compares a bond-plus-equity-option approach to valuing convertible bonds with a binomial approach that models both debt and equity features. In the simpler method, the value is treated as the sum of a straight bond and a call option on the…

Fixed incomeOptionsDerivatives pricing
Quant Q&A

The note explains how QuantLib’s `growthOnly` setting changes a CPI-linked bond’s principal repayment at maturity. With the setting false, the bond returns the original notional adjusted by the ratio of the maturity inflation index to the initial index. With…

Fixed incomeDerivatives pricing
Quant Q&A

The document presents an identity for forward rates at a given observation time: a forward rate spanning multiple periods is stated to equal the average of the sequence of one-period forward rates over the same horizon. It frames the identity as a…

Fixed incomeDerivatives pricingArbitrageStatistics
Quant Q&A

The document explains why a trader might choose a contract for difference rather than buy shares directly. A CFD provides exposure to changes in an underlying stock’s price without ownership of the stock. Because the trader posts margin rather than paying…

EquitiesDerivatives pricingRisk managementExecution
Quant Q&A

The document distinguishes estimating Vasicek model parameters from historical short-rate observations from estimating the market price of risk. Maximum likelihood estimation on historical data may estimate real-world parameters such as the long-run mean,…

Fixed incomeStatisticsDerivatives pricing
Quant Q&A

The question seeks free or student-accessible books on stochastic volatility modeling. The answer recommends a book by Lorenzo Bergomi and points readers to sample chapters and presentation materials available from the author's website. It also mentions…

VolatilityDerivatives pricing
Quant Q&A

The document considers hedging a USD corporate bond into GBP using either rolling three-month FX forwards or a cross-currency swap, with rates risk hedged separately through interest rate swaps. It asks how to compare the approaches’ costs as an effect on…

Fixed incomeForexDerivatives pricingRisk management
Quant Q&A

The document asks what defines a package trade in rates markets, whether a package must be DV01-neutral, why hedge funds request one, and why it may be hard to price. Its example is a set of instruments traded together to target exposure around a particular…

Fixed incomeDerivatives pricingExecution
Quant Q&A

The document explains why stock index futures are not generally read as forecasts of how much an equity index will rise, even though interest rate futures are often used to infer rate expectations. Index futures can be used to derive a forward curve and…

EquitiesFuturesArbitrageDerivatives pricing
Quant Q&A

The note surveys alternatives to the Gaussian distribution for fitting empirical stock returns, emphasizing heavy tails and the distinction between describing returns and pricing derivatives. It discusses stable Paretian distributions, the Heston…

StatisticsVolatilityDerivatives pricingMachine learning
Quant Q&A

The document considers how to infer the volatility implied by a convertible note’s issue price when the instrument includes early conversion, issuer redemption, and capped calls. A simple decomposition into bond value and option value may be inadequate once…

Fixed incomeOptionsVolatilityDerivatives pricing
Quant Q&A

The note explains why a long European put can have positive theta under Black–Scholes, despite the usual intuition that long options lose value as expiry approaches. A deep in-the-money put can trade below its intrinsic value when interest rates are…

OptionsDerivatives pricing
Quant Q&A

The document examines a Monte Carlo attempt to remove the drift from geometric Brownian motion by multiplying each simulated price path by a Radon–Nikodym derivative. Its central explanation is that this derivative changes the probability weights assigned to…

StatisticsDerivatives pricingBacktestingRisk management
Quant Q&A

The document considers how to simulate asset paths under SABR when volatility and vol of volatility are high. It describes a Monte Carlo comparison between a call value obtained from Hagan's implied volatility approximation and an estimate from a discretized…

OptionsVolatilityDerivatives pricingBacktesting
Quant Q&A

The document investigates why a year-on-year inflation swap rate may need a convexity adjustment when inferred from zero-coupon inflation swap rates. It starts with an example using a current index level and market rates at two maturities, then calculates…

Fixed incomeDerivatives pricingVolatility