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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

8,116 documents

Quant Q&A

The document distinguishes the physical probability distribution of an asset from the risk-neutral distribution used to price options. Under an assumed lognormal asset process, knowing the physical drift and volatility allows an analyst to calculate an…

OptionsDerivatives pricingStatistics
Quant Q&A

The document investigates apparent checksum failures in CUSIP numbers listed in SEC 13F security lists. The author validates extracted identifiers and reports that many listed values do not match the standard CUSIP check-digit calculation, raising the…

EquitiesOptionsUS marketsMarket microstructure
Quant Q&A

The document examines the derivative of a call option payoff, defined as the positive part of terminal asset price minus strike. The question proposes a piecewise expression for the quantity formed by multiplying the payoff derivative by spot and subtracting…

OptionsDerivatives pricingStatistics
Quant Q&A

The document asks whether a company's dividend declaration or ex-dividend date is systematically related to its fiscal year-end, and whether that timing matters for early exercise of American-style options. The response distinguishes declaration, ex, record,…

EquitiesOptionsEvent-driven
Quant Q&A

The document explains whether an option’s delta remains fixed when the underlying asset price changes while other Black–Scholes inputs are held constant. It gives the standard call and put delta relationships through the normal cumulative distribution of d1,…

OptionsDerivatives pricingRisk management
Quant Q&A

The document examines whether option-implied volatility can replace historical volatility in mean-variance portfolio optimization. It cautions that vanilla option implied volatility varies by strike and has a specific risk-neutral interpretation tied to…

Portfolio constructionVolatilityOptionsStatistics
Quant Q&A

The document derives a pricing equation for an option whose underlying price, volatility, and short rate all follow stochastic processes with correlated Brownian shocks. It first transforms the asset price to its logarithm, then represents the correlated…

OptionsDerivatives pricingVolatilityFixed income
Quant Q&A

The document clarifies a call option example in which a long call is hedged by shorting a quantity of the underlying stock. At expiration, the call is worth its intrinsic value, while the short stock position is valued using the ending share price. That…

OptionsRisk managementDerivatives pricing
Quant Q&A

The document outlines ways to allocate swaption bid-offer liquidity costs across SABR parameters. With beta held fixed, alpha represents the at-the-money volatility level, nu captures smile curvature, and rho captures skew. First estimate how the option…

OptionsFixed incomeVolatilityRisk management
Quant Q&A

The answer frames the claim as a European payoff based on the cube of the stock price at maturity. It invokes risk-neutral discounted expected payoff, then applies Itô’s lemma to the cubed stock process. This produces a process with a transformed drift and…

OptionsDerivatives pricingStatistics
Quant Q&A

The discussion distinguishes historical calibration with the Generalized Method of Moments (GMM) from calibrating a model to market option prices. It presents GMM as a way to estimate models from historical observations, which may support forecasting asset…

StatisticsOptionsDerivatives pricing
Quant Q&A

The document explains why the Black–Scholes framework models proportional price changes as a geometric Brownian motion, which implies lognormally distributed, positive prices. The underlying assumption is that returns depend on the current price and random…

EquitiesOptionsStatisticsDerivatives pricing
Quant Q&A

The discussion addresses two practical inputs to equity option pricing: historical volatility and interest and dividend rates. It says there is no universally established industry standard for historical-volatility estimation, and recommends a consistent,…

OptionsVolatilityStatisticsDerivatives pricing
Quant Q&A

The document asks whether an option’s value can be simulated directly from an SDE whose drift and volatility depend only on the option value and time. Applying Ito’s lemma to an option value expressed as a function of the underlying and time produces an SDE…

OptionsDerivatives pricingStatistics
Quant Q&A

The document explains when a hedge can be established once and when it needs ongoing adjustment. Static hedging is possible when instruments can replicate a position’s payoff at inception; the payoff need not be linear. The example given is replicating a…

OptionsFuturesVolatilityRisk management
Quant Q&A

The document addresses the difficulty of obtaining historical data for volatility and variance swaps. The responses say that public historical bid and ask prices are generally unavailable, so researchers seeking exact market quotes may need to approach a…

OptionsVolatilityDerivatives pricingMarket microstructure
Quant Q&A

The document raises a practical calibration problem for the Heston stochastic volatility model. The author fits the model in Matlab using Monte Carlo simulations, with 5,000 paths, two time steps per day, and a 360-day horizon. Calibration with the…

OptionsVolatilityDerivatives pricingMachine learning
Quant Q&A

The document examines whether a one-step binomial option model can be used when the risk-free return does not lie between the asset’s down and up returns. It explains that this condition is tied to the absence of arbitrage and to obtaining a valid…

OptionsDerivatives pricingArbitrage
Quant Q&A

The document considers how to quantify the gap between a modeled implied volatility surface and market quotes, with the goal of deciding when recalibration is needed. It notes weaknesses in averaging signed percentage errors: positive and negative deviations…

OptionsVolatilityStatistics
Quant Q&A

The document corrects a proposed equivalence between a long stock position with a written covered call and a short put struck at a lower price after subtracting the call premium. It explains that put-call parity instead relates the stock, call, discounted…

OptionsEquitiesDerivatives pricingArbitrage
Quant Q&A

The document clarifies that gamma is a property of a position or portfolio, not a quantity that can be rebalanced by trading the underlying alone. Gamma measures how a position’s delta changes as the underlying price moves. A gamma hedge adjusts option…

OptionsDerivatives pricingRisk management
Quant Q&A

This explanation fills in algebraic steps from Pat Hagan's convexity analysis under a lognormal model for a rate variable. It derives the expected squared deviation by expanding the expression and applying the normal exponential moment, yielding a…

Fixed incomeDerivatives pricingOptions
Quant Q&A

This document frames practical questions about trading untranched index CDS options using a CDX North American high-yield example. It examines how index versions change after constituent credit events, when a new version begins trading relative to an…

Options
Quant Q&A

The document asks how downward jumps affect a vanilla call’s price relative to a Black-Scholes call when the assets are described as having the same volatility but different drifts. The supplied answer sketches a comparison portfolio: short the Black-Scholes…

OptionsDerivatives pricingArbitrageRisk management