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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

8,116 documents

Quant Q&A

The document explains how an option on one asset can be delta-hedged using a different, correlated asset. It defines the hedge sensitivity of the second asset to changes in the first and gives a formula under a bivariate geometric Brownian motion assumption:…

OptionsDerivatives pricingRisk managementStatistics
Quant Q&A

The document frames option selection as a finite search over quoted calls: given a target stock price at expiration, calculate each contract’s profit relative to its premium and select the strike with the highest percentage return. For a discrete set of…

OptionsDerivatives pricingPosition sizing
Quant Q&A

The document asks whether a risk-neutral probability density recovered from option prices using the Breeden–Litzenberger method is the same as option gamma. One answer derives a relationship for models in which the option price is homogeneous of degree one…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document explains two common ways to define notional for an equity option position. One convention multiplies the number of contracts by the current spot price and the contract multiplier; another uses the strike price in place of spot. Both approaches…

OptionsEquitiesDerivatives pricing
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 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 a variance dispersion position can acquire short volatility exposure after a market decline. The example starts with a vega-neutral portfolio that is short an index option and long options on individual stocks, with deltas hedged at…

OptionsVolatilityRisk management
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 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 raises a risk-management question about a reported PIMCO trade involving large short positions in an S&P 500 put and call strangle. It asks how other market participants might hedge long option exposure against a seller of that scale, especially…

OptionsVolatilityRisk management
Quant Q&A

The document explains that Black-Scholes-Merton remains common in practice for European options, including settings where markets quote volatility and the model converts that volatility into prices. It also notes that exchanges may use Black-Scholes variants…

OptionsDerivatives pricingVolatility
Quant Q&A

The document presents a question about recovering call prices from observed SPX put prices using put-call parity, with zero interest rates assumed. It supplies mixed call and put quotes, option types, and increasing strike values, then points to cases where…

OptionsDerivatives pricingStatistics
Quant Q&A

The document explains how option writers may manage exposure before expiration through delta hedging. In the simplified account, they hold a changing mix of the underlying stock and financing assets, adjusting that mix as the option’s sensitivity changes.…

OptionsRisk managementDerivatives pricing
Quant Q&A

The document explains how an empirically calibrated SVI volatility surface can support option pricing and Greek estimates. SVI maps maturity and strike to an implied volatility; that volatility can then be supplied to a Black–Scholes routine to obtain a…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document is a curated list of academic papers on historical option returns and strategies. It points readers to work on buy-write portfolios, option returns, volatility and skewness, dispersion trading, expiration effects, and whether options are…

OptionsBacktestingVolatilityEquities
Quant Q&A

The document explains why implied volatility often rises away from the at-the-money strike, drawing on three complementary interpretations. One links smile curvature to higher moments of the return distribution: convexity can reflect positive excess…

OptionsVolatilityDerivatives pricingForex