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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 why absolute or squared returns often show positive autocorrelation even when raw returns do not. It compares a synthetic example with a single period of elevated volatility to empirical return behavior, then considers whether…

StatisticsVolatilityMomentum
Quant Q&A

The document explains the relationship between standard Brownian motion and a Brownian process with drift and scale. Standard Brownian motion starts at zero, and its increments over an interval of length t are normally distributed with mean zero and variance…

StatisticsVolatility
Quant Q&A

This note raises a modeling question about entropy pooling, a method that adjusts a prior distribution to satisfy views while staying close to that prior according to relative entropy. The author observes that imposing a higher expected return, without an…

Portfolio constructionStatisticsRisk managementVolatility
Quant Q&A

This document is a curated reading list spanning factor investing, trading and execution, volatility estimation, derivatives pricing, and commodity futures. It names influential papers and briefly describes their contributions, including multifactor asset…

Factor investingExecutionVolatilityDerivatives pricing
Quant Q&A

This exchange concerns how to construct an equal risk contribution portfolio when the investor also wants a specified total volatility. It defines portfolio volatility from the covariance matrix and weights, and frames the allocation as minimizing squared…

Portfolio constructionRisk managementVolatility
Quant Q&A

The document presents Fourier integral representations for European vanilla call pricing under the Heston stochastic-volatility model. One representation expresses the call through two probability terms whose characteristic functions depend on the current…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document addresses how stochastic volatility affects pricing of exotic options, including barrier and Asian contracts, and points to numerical methods as the central practical challenge. It identifies Monte Carlo simulation as a common approach: simulate…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document explains why the premium of an at-the-money straddle is not generally equal to the dollar amount of a one-standard-deviation move. At expiry, a straddle pays the absolute distance between the underlying price and the strike. With the strike at…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document asks how to choose mean and variance orders efficiently for a time series with both autocorrelation and changing volatility. It contrasts selecting an ARMA model first and then choosing GARCH orders with a joint search over all ARMA-GARCH…

StatisticsVolatilityTechnical indicatorsBacktesting
Quant Q&A

The question describes a path-dependent contract with one payoff if the underlying stays above a barrier and a different payoff if it crosses below it. It asks how to balance the component instruments to give the contract zero initial value and how to solve…

OptionsDerivatives pricingVolatility
Quant Q&A

The document raises a question about how volatility affects the value of an in-the-money European call when the underlying return distribution is negatively skewed. The author observes that, under a variance-gamma pricing formula, increasing the volatility…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The note explains how to select strikes for a costless collar using gold options. A collar pairs a long put with a short call whose premium offsets the put’s cost. There is an unlimited set of such strike pairs: for each positive put strike, a call strike…

OptionsCommoditiesVolatilityDerivatives pricing
Quant Q&A

The note considers why a stock can have high market sensitivity and high total volatility while showing low specific volatility, even when it does not appear to use unusually high debt. The example is Aptiv, whose risk model estimates a beta of 2 using three…

EquitiesVolatilityRisk managementStatistics
Quant Q&A

The document presents Black-76 formulas for European payer and receiver swaptions, scaling the option payoff by the present value of the underlying swap’s fixed-leg annuity. It defines the forward swap rate, strike, expiry, volatility, compounding frequency,…

Fixed incomeOptionsDerivatives pricingVolatility
Quant Q&A

The document considers whether futures options volatility behaves as sticky strike or sticky delta, and why intraday tick data can make the distinction difficult. Options and futures quotes may update at different times, while illiquid markets may not…

OptionsFuturesVolatilityDerivatives pricing
Quant Q&A

The document considers whether two call options can hedge a short call so that the resulting portfolio is both gamma-neutral and vega-neutral. It expresses the hedge as a two-equation linear system, with the other options’ vegas and gammas forming a…

OptionsDerivatives pricingVolatilityRisk management
Quant Q&A

This exchange examines whether implied volatility can be used to estimate the range of future stock prices. The question raises three concerns: log returns may be modeled as normal while prices are lognormal, the expected return affects longer-horizon…

OptionsEquitiesVolatilityDerivatives pricing
Quant Q&A

The question asks how to model daily SPX implied volatilities across several maturities and moneyness levels, preserving their correlations and incorporating jumps linked to recurring events such as economic releases and dividends. The proposed goal is to…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document considers filling missing market-maker bid and ask values across strikes and maturities when historical option prices are available for all liquid contracts and fair quotes exist for only some. It covers both European options, for which the…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document asks whether hourly or multi-hour realized variance can be used in a realized variance GARCH model. The author has minute-bar foreign exchange data and notes that the usual setup pairs daily returns with a daily realized volatility measure. With…

ForexVolatilityStatistics
Quant Q&A

The document examines parameter estimation for a stochastic differential equation driven by fractional Brownian motion. It describes an Euler approximation in which each process increment combines a drift term with a scaled fractional Brownian increment,…

StatisticsVolatility
Quant Q&A

The document investigates an apparent increase in call-option gamma when a Black-Scholes routine is used to represent options on futures. The setup discounts the futures price before passing it as the underlying, then compares options with the same spot and…

OptionsDerivatives pricingVolatility
Quant Q&A

The document discusses a question about Gatheral’s derivation connecting local variance to the conditional expectation of instantaneous variance. The central issue is why a stochastic differential term involving the underlying price and a strike disappears,…

OptionsVolatilityStatistics