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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
Quantopian lectures
45 documents
Binance API docs
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 distinguishes put-call gamma imbalance from a mismatch between the gamma of a put and a call at the same strike, noting that put-call parity remains intact. It discusses how dealers’ or traders’ hedging behavior may affect the underlying market…

OptionsVolatilityDerivatives pricingMarket microstructure
Quant Q&A

The document asks how to bound the price of an out-of-the-money vanilla put when the only readily observable option price is an at-the-money call. It notes two basic constraints: call-put parity and the fact that call prices decline as strike increases. The…

OptionsDerivatives pricingVolatility
Quant Q&A

The document asks which method to use for pricing American options after encountering a dismissive comment about binomial valuation. Its answer suggests that Paul Wilmott may favor a finite-difference partial differential equation approach. It presents PDE…

OptionsDerivatives pricingStatistics
Quant Q&A

The document explains why an option’s price response to upward and downward implied-volatility shocks may be similar in magnitude without being exact opposites. A Taylor expansion expresses the price change through vega, the first derivative with respect to…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document discusses pricing commodity swing options, which allow multiple exercise decisions subject to limits. The questioner has tried Longstaff–Schwartz Monte Carlo and asks about implementing a finite element approach for a model without jumps, using…

CommoditiesOptionsDerivatives pricingStatistics
Quant Q&A

The document asks whether a butterfly option can be valued by pricing its component calls with Black–Scholes and combining those values. The answer explains the key principle: for European options with compatible terms, the value of a portfolio is the same…

OptionsDerivatives pricing
Quant Q&A

The document considers whether a closed-form basket option formula could return each constituent asset’s terminal price, allowing users to evaluate many exotic payoffs from one expression. The response distinguishes that goal from pricing a single basket…

OptionsArbitrageVolatility
Quant Q&A

The document derives the value of a European claim paying the logarithm of the terminal asset price relative to its strike, assuming a non-dividend-paying asset under the Black–Scholes framework. It proposes a price that is affine in the log of the current…

Derivatives pricingOptionsVolatility
Quant Q&A

The document considers pricing an exotic interest-rate option when the individual rate distributions are modeled with calibrated SABR marginals and their dependence is represented by a Gaussian copula. It expresses the option value as the pricing-measure…

OptionsFixed incomeDerivatives pricingStatistics
Quant Q&A

The document asks whether option pricing models should be judged only by how closely their estimates match traded prices. It contrasts market-price fit, often measured with an error metric such as RMSE, with the possibility that market prices may not…

OptionsDerivatives pricingBacktestingStatistics
Quant Q&A

The document explains how to calibrate a stochastic volatility model such as Heston to option data and interpret its parameters. It recommends fitting model prices in implied volatility space by minimizing squared differences between model-implied and…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document asks why exchange option chains can show different implied volatilities for European puts and calls with the same underlying and expiry, even though put-call parity links their prices. Its answer points to market supply and demand: stronger…

OptionsVolatilityDerivatives pricingSentiment
Quant Q&A

The document clarifies what it means to complete pricing by integrating a modeled future swap rate. The target is not to integrate the rate merely to recover its current value, which follows from its martingale property under the swap measure. Instead, the…

OptionsDerivatives pricingFixed incomeVolatility
Quant Q&A

The document explains how to choose a discount curve for Black–Scholes option valuation and how to turn quoted market rates into continuously compounded rates for different maturities. It describes building a money-market curve from short-term interbank…

OptionsDerivatives pricingFixed incomeStatistics
Quant Q&A

The document addresses a confusion in binomial pricing: a put’s value at an intermediate node can exceed the discounted value of continuing to the next step, making early exercise optimal. It distinguishes the put’s intrinsic value at that node from the…

OptionsDerivatives pricingEquities
Quant Q&A

The discussion examines how to derive an approximation for an option’s gamma from values at an underlying price above and below the current price. The original question substitutes finite-difference estimates of delta into a difference quotient and obtains…

OptionsDerivatives pricingStatistics
Quant Q&A

The document asks how to price a European payoff equal to the positive part of the difference between two risky assets in a constant coefficient Black–Scholes market. It starts from ordinary risk neutral valuation and considers expressing the payoff using…

OptionsDerivatives pricingStatistics
Quant Q&A

The question considers pricing a call on a foreign equity whose domestic-currency value is defined as the foreign share price multiplied by the exchange rate raised to a fractional power. It asks whether the drift obtained by applying Itô’s lemma under the…

ForexEquitiesOptionsDerivatives pricing
Quant Q&A

The document describes calibrating a Heston stochastic volatility model to market prices by minimizing weighted squared pricing errors with a Levenberg–Marquardt optimizer. It lists the model parameters and their natural constraints: correlation must lie…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

This explanation gives an intuitive account of why a longer-dated option can have greater sensitivity to implied volatility than a short-dated option. It compares two far out-of-the-money calls with the same strike and underlying price, one expiring the next…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document addresses two inputs needed when calibrating a swaption model with QuantLib: the volatility convention and the interest-rate term structure. It notes that QuantLib’s cited calibration example expects Black, or lognormal, volatilities by default,…

Fixed incomeOptionsVolatilityDerivatives pricing
Quant Q&A

The document asks whether Dupire’s formula can be understood through the same replicating-portfolio framework used to explain Black–Scholes. The answer distinguishes the purpose of the two frameworks: Dupire’s formula is presented as a calibration…

OptionsVolatilityDerivatives pricing
Quant Q&A

This document presents a Monte Carlo approach to pricing an up-and-out call option. It simulates geometric Brownian motion paths from an initial stock price, computes each path’s maximum, and discounts the terminal call payoff only for paths that stay below…

OptionsDerivatives pricingStatistics
Quant Q&A

The exchange asks how a binary options broker might manage the risk of many customers correctly predicting an asset’s direction. The answer considers market-making brokers offering contracts that expire within seconds or minutes and suggests that such firms…

OptionsMarket makingRisk management