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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

12,303 documents

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 explains why a one-step-ahead prediction interval from a fitted ARIMA model need not automatically narrow as the estimation sample grows. In a simple ARIMA specification with Gaussian, homoskedastic errors, the conditional forecast variance is…

StatisticsVolatility
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 asks how to expand a financial stochastic differential equation when the diffusion coefficient depends on both the underlying price and a stochastic volatility factor, as in a SABR-style model. It contrasts this setup with simpler stochastic…

Derivatives pricingVolatilityStatistics
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
Quant Q&A

The document derives a closed-form price for a European currency call when domestic and foreign interest rates follow Hull–White dynamics and spot FX has constant volatility. It changes from the domestic risk-neutral measure to the domestic maturity-forward…

ForexOptionsVolatilityDerivatives pricing
Quant Q&A

The document describes why valuation of the foreign leg of a mark-to-market cross-currency swap can require a convexity adjustment. It writes the foreign-leg cash flows and explains that the relevant expectation is taken under the domestic measure, while the…

Fixed incomeForexDerivatives pricingVolatility
Quant Q&A

The document asks how to break an option position’s Vega P&L into contributions from at-the-money volatility, skew, curvature, and related SVI-JW parameters. It proposes approximating the change in implied volatility with a first-order expansion in those…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document proposes valuing the principal floor embedded in an inflation-linked bond by treating the consumer price index as an underlying asset and the floor as a put option. When traded inflation floor instruments are unavailable, it suggests estimating…

Fixed incomeOptionsVolatilityDerivatives pricing
Quant Q&A

The document explains why a Black–Scholes cash-or-nothing call can be priced below 50% even when the underlying is above the strike. Its central point is that the model uses a lognormal distribution for the future price, whose positive skew means the…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document presents an EGARCH specification for changes in a series and its conditional log variance. The mean equation includes seasonal indicators and two regime indicators interacting with seasonal effects. The variance equation includes lagged…

VolatilityStatisticsMachine learning
Quant Q&A

The document asks whether historical data can estimate American put premiums in the same way that expiry payoffs are used to estimate European put premiums. It proposes replacing the expiry return with the minimum return during the option’s life, then…

OptionsDerivatives pricingVolatility
Quant Q&A

The document compares two ways to study annual return distributions: calculating a rolling one-year return for every trading day, or sampling one return per year from a fixed annual date. The example uses long-run S&P data and reports broadly similar central…

StatisticsBacktestingEquitiesVolatility
Quant Q&A

The note gives an intuition for how the Heston stochastic-volatility parameters correlation and volatility of volatility affect implied-volatility shape. It frames the smile through the risk-neutral distribution: heavier tails raise out-of-the-money option…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document presents a QuantLib setup for pricing a vanilla European call and obtaining delta, gamma, vega, and theta. The example specifies market inputs, dates, yield and volatility curves, an option payoff and exercise date, then connects them through an…

OptionsDerivatives pricingVolatility
Quant Q&A

The document clarifies that volatility is defined relative to a model and, in the Black–Scholes setting, describes the standard deviation of log returns per square root of time. It derives a confidence interval for log returns using normal quantiles, then…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document considers selling a nearer-dated straddle and buying a later-dated one to gain exposure to volatility over a future period. This is described as an options calendar spread: approximately offsetting deltas can limit immediate directional…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document asks whether option open interest and trading-volume changes can be incorporated into pricing models or used to forecast asset prices. It connects the question to supply and demand, implied volatility, option Greeks, and trader commitment,…

OptionsDerivatives pricingVolatilitySentiment
Quant Q&A

The document asks how to assess the accuracy of SABR implied volatility surfaces for a chosen equity index and historical period. Its proposed approach is to calibrate SABR, obtain the model’s implied volatilities, and compare them with historical volatility…

OptionsVolatilityDerivatives pricingBacktesting
Quant Q&A

The document asks how to interpret references to foreign-exchange grid changes in stress testing. It gives an example in which day-to-day stress moves in the U.S. dollar are linked to vanilla EUR/USD options positioning: long strike positions expire while…

ForexOptionsVolatilityRisk management
Quant Q&A

The document raises a notation and interpretation question about the market price of risk in the Heston stochastic-volatility model. In the expression discussed, one component depends on the instantaneous variance through its square root, while another…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The question compares two ways of relating monthly and annual return volatility. It assigns each month one twelfth of that year’s annual return, so all twelve monthly observations within a year are identical. Under that assumption, monthly volatility is one…

StatisticsVolatility
Quant Q&A

The document discusses why Black-Scholes Greeks remain common in vanilla option risk management despite the availability of stochastic-volatility models. One response favors using hedge sensitivities consistent with the model used to price trades, noting…

OptionsDerivatives pricingVolatilityRisk management