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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
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

8,116 documents

Quant Q&A

The document considers how to price European calls and puts on an underlying that can jump, fluctuates with short-term supply and demand, and tends to lose value over longer horizons. It also raises practical questions about physical delivery and indivisible…

OptionsDerivatives pricingCommodities
Quant Q&A

The document asks whether sharp foreign exchange price moves around short binary option expiries reflect trades or misleading posted bids, and where traders can inspect FX order depth. The answer attributes many such moves to market makers hedging binary…

ForexOptionsDerivatives pricingMarket microstructure
Quant Q&A

The document explains why implied volatility calculated from in-the-money (ITM) and out-of-the-money (OTM) equity calls may appear higher for ITM strikes. For calls, ITM contracts have strikes below spot, while OTM contracts have strikes above spot; the…

OptionsEquitiesVolatilityDerivatives pricing
Quant Q&A

The document presents a question about extracting a risk-neutral density from SPY weekly options using the R package RND. The author fits a three-lognormal mixture to American option prices and plots the resulting density over strikes around spot, but finds…

OptionsEquitiesDerivatives pricingStatistics
Quant Q&A

The document asks for the maximum price of a European call butterfly with strikes at 103, 106, and 108, assuming no fees and a zero interest rate, without specifying a distribution for the underlying. The accepted reply gives a maximum theoretical value of…

OptionsDerivatives pricingRisk management
Quant Q&A

The document describes the collateral choice option as an expectation involving the time integral of the maximum among several spread processes, typically modeled as Gaussian. It notes that this expectation is difficult to calculate and that a cited…

OptionsFixed incomeDerivatives pricingStatistics
Quant Q&A

The document asks how to compare a numerical European call price from an explicit finite-difference scheme with the analytical Black–Scholes value at an intermediate time step. The model uses spatial grid points corresponding to underlying asset prices, and…

OptionsDerivatives pricingBacktestingStatistics
Quant Q&A

The document considers a four-option position consisting of a long put below the middle strike, two short options at the middle strike, and a long call above it. The questioner calculates one region of the payoff and finds a negative amount, which appears…

OptionsDerivatives pricing
Quant Q&A

The document explains the probability meanings of the two normal cumulative terms in the Black–Scholes call price. The probability associated with the strike indicator in the discounted payoff is computed under the risk-neutral measure, while the…

OptionsDerivatives pricingStatistics
Quant Q&A

The document examines whether the sum of squared log returns is an unbiased estimate of variance under geometric Brownian motion. At finite sampling intervals, the estimate can reflect drift as well as volatility. The response explains why this convention…

StatisticsVolatilityOptions
Quant Q&A

This explanation examines the shift parameter in a lognormal model for forward interest rates. It writes a caplet payoff in terms of the shifted rate and strike, assumes the shifted forward follows a lognormal process under the appropriate forward measure,…

Fixed incomeOptionsDerivatives pricingVolatility
Quant Q&A

The note describes two ways to estimate implied volatility skew. One approach prices calls and puts across strikes, converts their prices to Black–Scholes implied volatilities, and estimates the smile’s slope. Another uses a call and a digital call at a…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The note explains that the Black model does not depend on the standard spot-to-forward relationship in which the forward price equals spot grown at the risk-free rate. Currency futures are given as an example where borrowing and lending in the two currencies…

Derivatives pricingFuturesOptionsFixed income
Quant Q&A

The document explains why structured-product dealers may sell dividend exposure when equity markets fall. Products such as autocallable notes can leave dealers holding long-dated downside options or other exposures whose value and expected duration change…

OptionsDerivatives pricingMarket microstructure
Quant Q&A

The document examines why vega may give a misleading picture of volatility risk for options whose gamma changes sign, using a binary option as its example. Under Black–Scholes, it differentiates the discounted probability-based binary price with respect to…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document considers replacing a diversified stock portfolio with long-dated calls on the same companies, keeping the same percentage allocation across names. It asks whether diversification carries over and what additional risks the options introduce. The…

OptionsEquitiesPortfolio constructionRisk management
Quant Q&A

The document asks how to choose a drift for simulating trading volume when pricing an option whose payoff depends on volume. The proposed model treats volume as geometric Brownian motion, and the author recognizes that option pricing calls for risk-neutral…

OptionsDerivatives pricingStatistics
Quant Q&A

The document asks whether a quanto put can have a nonzero foreign-exchange delta, despite the common impression that quanto options are insensitive to FX. The question describes a case where the put’s calculated FX delta is positive and attributes this…

OptionsForexDerivatives pricing
Quant Q&A

The document addresses how to calculate the kurtosis of a straddle payoff formed by combining call and put outcomes. The response corrects an attempted combination rule: even if cross co-kurtosis terms are assumed to vanish, the weighted sum of the…

OptionsStatisticsDerivatives pricing
Quant Q&A

The document answers a request for accessible study resources on Monte Carlo simulation for pricing derivatives at roughly master’s level. It names a course text associated with a master’s degree and recommends Paul Glasserman’s book as another source on…

Derivatives pricingOptionsStatistics
Quant Q&A

The document explains how volatility inputs differ when an option expires before its underlying commodity forward settles. It distinguishes options on different forward contracts: a quote for a two-month option on a two-month contract should not…

CommoditiesOptionsVolatilityDerivatives pricing
Quant Q&A

The document explains why the time decay of a European call differs by time to maturity and moneyness in the Black–Scholes model. With substantial time remaining, the passage of a day generally changes exercise likelihood only modestly, so theta is…

OptionsDerivatives pricingVolatility
Quant Q&A

The document asks whether a trader can sell an instrument other than an option to collect premium and fund a long equity call, while avoiding options tied to the same or a correlated underlying. The answer explains that options generally provide time…

OptionsDerivatives pricingRisk management
Quant Q&A

The response proposes using programming and financial data skills to study market risk through equity index options. It describes an approach associated with Ian Martin: use prices from a small portfolio of European options on the S&P 500 to infer the…

OptionsEquitiesVolatilityDerivatives pricing