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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 raises a valuation question about a convertible bond: how to derive yield to maturity from a value calculated with an option valuation model. It considers treating the difference between the calculated value and the bond’s issue value as…

Fixed incomeOptionsDerivatives pricing
Quant Q&A

The document asks whether an options gamma exposure index can help forecast realized volatility and how to turn gamma exposure into an implied-move curve across underlying prices. It describes GEX as an aggregate of call and put gamma exposure, calculated…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document asks for research on whether options open interest is related to implied volatility, proposing that heavy market-maker short positioning at a strike might lower implied volatility. The response highlights a basic identification issue: each open…

OptionsVolatilityMarket microstructure
Quant Q&A

The document considers pricing a European put when the underlying follows geometric Brownian motion multiplied by a compound Poisson jump process. It proposes conditioning on the number of jumps over the option’s remaining life, then summing the conditional…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The discussion compares Bloomberg’s BGN and CMPN sources for EUR/USD FX option volatility quotes, especially butterfly quotes used in strategies that trade convexity. The answer describes BGN as a generic daily close and CMPN as a composite of contributor…

ForexOptionsVolatilityBacktesting
Quant Q&A

The document asks how to adapt a Heston European call formula for an FX pair, where pricing involves both a domestic rate and a foreign rate. It supplies a stock-option integral formula, a characteristic function, and proposed asset and variance dynamics,…

ForexOptionsDerivatives pricingVolatility
Quant Q&A

The answer shows how to test a laddered option payoff for mispricing by expressing it as a portfolio of simpler calls. It first represents the payoff across strike-defined regions, then rewrites it using call payoffs that activate above each strike. For the…

OptionsArbitrageDerivatives pricing
Quant Q&A

The discussion addresses how to estimate an option’s vega, volga, and vanna by repricing after perturbing the volatility input. When a product depends on an entire Black variance surface, replacing it with a single constant volatility can be unsuitable for…

OptionsDerivatives pricingVolatility
Quant Q&A

A call option on a forward gives its holder the right to enter a forward contract at the option’s expiry. Whether exercise is worthwhile depends on the forward price at that time relative to the strike. The resulting exposure is to the forward contract; it…

OptionsDerivatives pricingFutures
Quant Q&A

The note outlines a model-based route to backtesting variance and volatility swaps when direct swap data is unavailable. It uses a one-factor Bergomi setup in which instantaneous variance follows a lognormal process correlated with the asset return. In this…

OptionsVolatilityDerivatives pricingBacktesting
Quant Q&A

The document derives a replication for a European chooser option, which lets its holder decide at an intermediate date whether to receive a call or a put, both expiring later. At the choice date, put–call parity expresses the put payoff as the call payoff…

OptionsDerivatives pricing
Quant Q&A

The document describes an option-pricing problem in which volatility changes when the underlying crosses a specified barrier. It suggests this setup may represent a post-crash environment where near-term option volatility is elevated and expected to move…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document asks why a futures price is not simply the expected future spot price, and contrasts this intuition with cost-of-carry pricing. Its answer frames futures and forwards through arbitrage-free pricing: if an asset can be bought and financed until…

FuturesOptionsArbitrageDerivatives pricing
Quant Q&A

The document considers how to estimate daily value-at-risk for a long option and asks whether the estimate can reflect the fact that the position cannot lose more than its premium. It contrasts a rough premium-based rule with delta-gamma VaR, which…

OptionsRisk managementDerivatives pricingStatistics
Quant Q&A

The document examines a chart of equity index implied skew and spot–volatility beta across option maturities. It describes implied skew as related to how implied volatility changes as the forward or spot level moves, while emphasizing that the relationship…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document explores how financial variables can be dependent without having linear correlation. It begins with the mathematical example of a normally distributed variable and its square, then considers financial analogies where the relationship can be…

StatisticsVolatilityOptions
Quant Q&A

The document introduces Black–Scholes as a model for calculating a theoretical option price and asks how to interpret its d1 and d2 terms. The response says the model gives an appropriate price only if its assumptions hold. It does not explain d1 or d2…

OptionsDerivatives pricingRisk management
Quant Q&A

The document describes a method for estimating an ETF’s implied funding or borrowing spread from option prices. It first adjusts American option prices toward European equivalents using the American–European price difference from a fitted volatility model.…

OptionsDerivatives pricingStatisticsMarket microstructure
Quant Q&A

The document asks how to value commodity futures options when an investor has a specific view about the future return distribution: a substantial oil price spike is considered possible over a stated horizon, with the move expected to be brief. The goal is to…

CommoditiesOptionsFuturesVolatility
Quant Q&A

The document asks whether a weighted mixture of two local-volatility models can provide an implied density for path-dependent options, including barrier and touch products. It presents the mixture as a weighted average of the component models’ vanilla option…

OptionsDerivatives pricingVolatility
Quant Q&A

The note explains how the option portfolio’s gamma contribution to price change follows from the second-order term in Itô’s lemma. It distinguishes the instantaneous variance term in the pricing equation from realized movement in the underlying price. Using…

OptionsDerivatives pricingVolatility
Quant Q&A

The document gives intuition for the variable changes used to transform the Black–Scholes partial differential equation into the heat equation. The response breaks the spatial transformation into two steps: first express the underlying price in…

OptionsDerivatives pricingStatistics
Quant Q&A

The document discusses how to include swaps, FX forwards, and other non-equity derivatives in Monte Carlo Value at Risk simulations. It contrasts sensitivity-based approximations with full revaluation under simulated market scenarios. Sensitivity methods…

OptionsForexFixed incomeRisk management
Quant Q&A

The document clarifies an ambiguous claim that spot price and variance have correlation near negative one. One response explains that the leverage effect concerns negative association between stock returns and volatility, rather than between the price level…

OptionsVolatilityDerivatives pricingStatistics