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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 asks whether the variance of a price can be derived from the variance of its daily returns, including for use in Bollinger Bands. It explains that treating the previous price as known can yield a conditional relationship for one step, but that…

StatisticsVolatilityTechnical indicatorsEquities
Quant Q&A

The document asks how useful implied volatility remains when the Black–Scholes assumptions do not fit the market. It uses stock-borrowing fees as an example: different borrowing and lending rates can change the pricing equation, so an option price must be…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document clarifies the relationship between normally distributed log returns and the expected value of a geometric Brownian motion price. If log price follows a Brownian process with drift μ and volatility σ, exponentiating it yields a lognormal price…

StatisticsDerivatives pricingVolatility
Quant Q&A

The document examines whether a portfolio that is neutral to vega is also neutral to gamma and theta. One response gives a specific result for portfolios of calls and puts sharing the same maturity: under the Black–Scholes framework, gamma neutrality and…

OptionsDerivatives pricingRisk managementVolatility
Quant Q&A

The document considers whether the leading principal component of historical interest-rate changes can serve as the volatility curve for calibrating a Hull–White or Black–Derman–Toy tree. It contrasts estimating a separate standard deviation at each tenor…

Fixed incomeStatisticsVolatilityDerivatives pricing
Quant Q&A

The document introduces an ATM implied-volatility correction in a free-boundary extension of SABR, motivated by pricing under negative rates. It describes a small-time heat-kernel approximation and gives a first-order correction for the at-the-money case…

OptionsVolatilityDerivatives pricing
Quant Q&A

The discussion explores estimating one-day downside risk for a portfolio that combines linear assets with short option exposure. It contrasts fitting a generalized Pareto distribution to the tail of repriced historical portfolio returns with simulating…

OptionsRisk managementVolatilityStatistics
Quant Q&A

The document raises a mathematical question about deriving an asymptotic option-price expression used in the Hagan SABR implied volatility formula. It focuses on a partial differential equation for option value, with terms involving the forward price,…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document compares two ways to extract risk-neutral information from option prices. Breeden-Litzenberger (BL) uses the curvature of call prices across strikes to estimate an entire risk-neutral density. Bakshi-Kapadia-Madan (BKM) methods estimate…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document discusses hedging a perpetual up-and-out call with a strike of 110 and barrier of 120. One proposed static hedge buys stock in an amount intended to cover the option’s maximum intrinsic payoff at the barrier. This is a buy-and-hold superhedge…

OptionsDerivatives pricingRisk managementVolatility
Quant Q&A

The document raises the question of how to incorporate GARCH volatility forecasts into a Markowitz mean-variance portfolio optimization. The investor’s existing process estimates expected returns and a variance-covariance matrix, then seeks a portfolio with…

Portfolio constructionVolatilityStatistics
Quant Q&A

This discussion explains how to interpret at-the-money swaption volatility quoted under normal and Black conventions. Normal volatility is expressed in rate units, commonly basis points, while Black volatility is relative to the forward swap rate. The…

OptionsFixed incomeDerivatives pricingVolatility
Quant Q&A

The document raises a derivatives calibration question by analogy with joint modeling of the S&P 500 and VIX. Since the VIX is derived from S&P 500 options, the author asks whether the Euro Stoxx 50 and VSTOXX should likewise be calibrated together. The…

EquitiesOptionsVolatilityDerivatives pricing
Quant Q&A

The document clarifies competing conventions for dollar gamma. It distinguishes dollar gamma, commonly expressed as gamma multiplied by the square of the underlying price, from the half-dollar-gamma coefficient used in the second-order approximation of…

OptionsDerivatives pricingVolatilityRisk management
Quant Q&A

The document discusses how phoenix and snowball autocallable notes can be valued and hedged. It describes the note price as a combination of a zero-coupon bond, coupon exposure, a short down-and-in put that may be terminated by autocall, and issuer profit.…

OptionsDerivatives pricingVolatilityRisk management
Quant Q&A

The document asks how to interpolate implied volatility between listed maturities to construct a volatility surface for a Black–Scholes delta-hedging experiment. It considers bilinear interpolation and seeks guidance on methods that can fill values between…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document explains how to express a view that an option volatility skew is too flat or too steep while limiting exposure to the overall volatility level. Since option prices move with implied volatility, a trader can combine options at different strikes…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The discussion addresses why an at-the-money call can appear to have a delta near one when volatility is close to zero. One reply offers an intuition based on positive carry: with a risk-free rate above the dividend yield, a spot-at-the-money option can be…

OptionsDerivatives pricingVolatility
Quant Q&A

The document explains why option volatility surfaces may use forward moneyness instead of raw strike. Moneyness measures a strike’s distance from a reference price; forward moneyness compares the strike with the forward price for that option’s maturity. This…

OptionsVolatilityDerivatives pricingArbitrage
Quant Q&A

The document compares holding a cryptocurrency investment for a fixed period with periodically withdrawing gains while restoring the original principal. It describes a Monte Carlo example using simulated daily returns, then reports average outcomes for both…

CryptoMean reversionVolatilityBacktesting
Quant Q&A

The document asks how a risk surface can turn sensitivities from a model’s implied volatility function into sensitivities to market quoted volatilities. The described method adds an interpolated surface of risk bumps to the model volatility. At the base…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document asks how to size a four leg iron butterfly and warns that expiration payoff calculations alone do not capture risks while the position is open. The response highlights execution costs, liquidity, assignment, margin, and the possibility of forced…

OptionsRisk managementPosition sizingVolatility
Quant Q&A

The document discusses estimating the volatility and mean-reversion parameters of a Hull–White short-rate model when the market has daily overnight rates and a swap-based zero-coupon curve but no actively traded options. It distinguishes estimation from…

Fixed incomeDerivatives pricingVolatilityStatistics
Quant Q&A

The document asks whether negative short-term risk-free rates require changes to the Black-Scholes option pricing formula. Its answer says the standard model does not require the rate to be positive, so a negative rate can be used directly. Under the stated…

OptionsDerivatives pricingVolatility