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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

12,303 documents

Quant Q&A

The document discusses how often financial institutions recalibrate the SABR model when pricing FX options. Its practical guidance is that calibration is typically performed daily, with additional intraday recalibration sometimes needed on especially…

ForexOptionsVolatilityDerivatives pricing
Quant Q&A

The document explains how the covariance of two continuous Itô processes follows from the covariance of their Brownian drivers. Drift terms do not contribute to their quadratic covariation; the stochastic components determine it. Applying the covariation…

StatisticsVolatility
Quant Q&A

The document considers a derivative payoff that equals the underlying’s initial price above a threshold and the underlying’s maturity value at or below it. Because the payoff jumps at the threshold, the author asks how to approximate it using a constant, a…

OptionsDerivatives pricingVolatility
Quant Q&A

The document describes an attempted QuantLib approach to pricing callable, fixed-rate Danish mortgage bonds with and without amortization. It extends a callable fixed-rate bond class to build coupon cash flows from a schedule of changing notionals,…

Fixed incomeDerivatives pricingVolatilityRisk management
Quant Q&A

The document considers whether a volatility exposure can be approximated by buying at-the-money S&P 500 straddles and delta-hedging them, potentially as a volatility position or a spread against VIX futures. It also describes the William’s VIX Fix, a…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document explains how to identify candidate pairs for trading relative moves in equity-option implied volatility, even when the individual volatility series are already stationary. Cointegration is not essential: the relevant question is whether a spread…

OptionsVolatilityMean reversionPairs trading
Quant Q&A

The document outlines a method for formulating perpetual American option valuation as a free-boundary problem. In the continuation region, where holding the option is more valuable than exercising, the value satisfies the perpetual Black–Scholes differential…

OptionsDerivatives pricingVolatility
Quant Q&A

The document addresses which implied volatility to use in a convexity adjustment when valuing a Libor-in-arrears swap cash flow. The relevant volatility comes from an option whose expiry matches the rate reset date and whose underlying rate covers the…

Fixed incomeVolatilityDerivatives pricing
Quant Q&A

Option pricing models can support trading in several ways. A market maker can use a model to estimate option sensitivities, hedge exposures, and seek returns from the bid–ask spread. A risk taker can compare model values with market prices and trade options…

OptionsVolatilityDerivatives pricingMarket making
Quant Q&A

The discussion distinguishes two quantities often called forward implied volatility. One is calculated from the change in implied variance between two maturities for vanilla options at a fixed strike. It represents a forward measure inferred from today’s…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document examines an approximation used in deriving a convexity adjustment for a bond forward. It expands the bond price as a function of yield around today’s forward yield, then asks why the expected squared yield change can be approximated by the…

Fixed incomeDerivatives pricingVolatilityStatistics
Quant Q&A

The document addresses how to interpret the yield of a forward bond price when the available input is a zero curve quoted with continuous compounding. The example concerns a European put on a coupon bond and a relation that uses duration to translate forward…

Fixed incomeOptionsDerivatives pricingVolatility
Quant Q&A

The document examines how to combine the delta, vega, and theta of a long at-the-money SPX put and a short at-the-money VIX call. It gives example option Greeks and a historical VIX-to-SPX beta, then applies that beta to estimate a combined delta. The author…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The discussion evaluates fitting an Ornstein-Uhlenbeck process to daily EUR/USD observations using maximum likelihood. The estimate of mean reversion is close to zero, while the reported stationarity test does not reject a non-stationary series. Since the…

ForexMean reversionStatisticsVolatility
Quant Q&A

The document raises a question about the relationship between the familiar gamma contribution to the P&L of a delta-hedged position and a proposed calculation based on the change in delta during an underlying price move. It presents the gamma-and-theta…

OptionsDerivatives pricingVolatility
Quant Q&A

The document asks whether familiar models for an underlying asset can be derived from assumptions about the discounted profit and loss of a delta-hedged European option. It writes the hedged portfolio P&L in terms of the option payoff, initial premium,…

OptionsDerivatives pricingVolatilityRisk management
Quant Q&A

The document gives a brief example of trading volatility with options: buy or sell an out-of-the-money strangle, consisting of a call and a put, and delta hedge the combined position using the underlying asset. The hedge is intended to reduce directional…

OptionsVolatilityRisk management
Quant Q&A

The document discusses an approximation that relates implied volatility for a spot and strike pair to the average of local volatility across the price interval between them. The motivating explanation is that paths ending in the money may spend much of their…

OptionsVolatilityDerivatives pricing
Quant Q&A

The discussion distinguishes a linearly interpolated swaption volatility cube from a cube generated using SABR. Linear interpolation of market quotes can describe a static set of Black-model volatilities across strikes and maturities. SABR instead models…

OptionsVolatilityDerivatives pricingFixed income
Quant Q&A

The discussion surveys possible indicators of market tail risk and financial stress. It points to the St. Louis Fed Financial Stress Index as a public measure, mentions sell-side stress indicators, and describes research proposing VVIX—the volatility of VIX…

VolatilityRisk managementOptionsUS markets
Quant Q&A

The document presents several ways to estimate theoretical option prices when a new underlying has little or no options-market history. As a basic starting point, it suggests using historical return volatility as a constant volatility for near-the-money…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document asks how to combine univariate GARCH volatility models with a copula to estimate expected shortfall for a portfolio of three stocks. It considers whether to obtain conditional volatility by filtering observed returns through each fitted GARCH…

EquitiesVolatilityStatisticsRisk management
Quant Q&A

The note explains how to choose volatility-surface inputs when calibrating a model for autocallable products. Its central recommendation is to calibrate one model to the autocalls held in the portfolio, reflecting that hedging is generally managed at…

OptionsVolatilityDerivatives pricingPortfolio construction
Quant Q&A

The document explains that left and right tail risk refer to extreme outcomes on opposite sides of a return distribution. The left tail represents unusually poor returns, while the right tail represents unusually high returns. Analysts examine these outcomes…

StatisticsRisk managementVolatility