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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
Quantopian lectures
45 documents
Binance API docs
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 describes a simplified way to represent an active long volatility allocation discussed in a portfolio research paper. The proposed rule monitors the equity market over a rolling three-month window and buys options in the direction of a…

OptionsVolatilityBacktesting
Quant Q&A

The document surveys ways to use QuantLib-backed analytics from Excel, motivated by spreadsheet workflows that combine pricing with data from market terminals. The options named include QuantLibXL, RExcel with RQuantLib, PyXLL with QuantLib-Python, a…

OptionsDerivatives pricingExecution
Quant Q&A

The document raises a question about replicating a variance swap fair strike from options when implied volatility is flat. The author expects the strike to equal implied volatility squared, but reports that a replication using constant volatility returns a…

OptionsVolatilityDerivatives pricing
Quant Q&A

This question examines whether a call option on a futures contract has the same theoretical value as a call option on the underlying stock. It compares the discounted futures-option pricing expression with the stock-option expression and uses the…

OptionsFuturesDerivatives pricing
Quant Q&A

The document presents an attempt to infer implied volatility by minimizing the difference between observed option prices and Black–Scholes prices. The calculation uses spot, strike, time to expiry, interest rates, and dividend yield, with rates interpolated…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document explains why different stocks may show different listed option expiration months. Historically, each stock belonged to a January, February, or March cycle, which determined which months in each quarter were available. Later rules ensured that…

OptionsEquitiesDerivatives pricing
Quant Q&A

The document derives a risk-neutral price for a payoff equal to the cube of a time-weighted integral of log stock prices in a zero-rate Black–Scholes model. Under the risk-neutral measure, the log price is a Brownian process with drift equal to minus one…

Derivatives pricingOptionsStatistics
Quant Q&A

The document explains why an American digital put can be valued through the probability that the underlying asset reaches a specified minimum by expiry. The key reasoning is about exercise timing: when interest rates are nonnegative, the response says it is…

OptionsDerivatives pricingStatistics
Quant Q&A

The document considers whether a practical option model can produce better delta hedges than Black–Scholes for equity options. One response says the Heston model is relatively quick to implement analytically, but may still miss important features of…

OptionsDerivatives pricingVolatilityRisk management
Quant Q&A

The document raises a question about a statement in a paper on variance swaps: a stock call option’s vega is greatest when the option is at the money. The author wonders whether this is because vanilla options are nearly linear in volatility at that point,…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document asks how to automate daily retrieval of CDOR rates, swap rates, and options prices from Bloomberg into an Excel workflow. The answer recommends sending requests through Bloomberg's WAPI, which it says refreshes data when a request is sent,…

Fixed incomeOptionsExecution
Quant Q&A

The document asks whether an option on a bond future can be represented using options on forward rates. It simplifies the contract to a European option on a zero-coupon cheapest-to-deliver bond and relates the forward bond price to the forward rate over the…

Fixed incomeFuturesOptionsDerivatives pricing
Quant Q&A

The discussion explains why a simulated delta hedge may retain tracking error and how to account for changing positions. In the Black–Scholes framework, hedge error should shrink as rehedging intervals become smaller when the simulated underlying follows the…

OptionsDerivatives pricingBacktestingRisk management
Quant Q&A

The document explains why a volatility-squared correction appears when expressing a stock price as an exponential Brownian process in the Black–Scholes framework. Under the risk-neutral measure, the discounted stock is modeled as a martingale. The answer…

OptionsDerivatives pricingStatistics
Quant Q&A

The document explains the law of one price in a single-period trading model. Its central idea is that portfolios with identical payoffs should have identical current prices. This principle supports pricing a European option by constructing a portfolio of…

Derivatives pricingOptionsArbitrage
Quant Q&A

The document asks whether American and European puts should have the same value because they share the same terminal payoff, and what it means for an American option holder to exercise optimally. The replies clarify that matching terminal payoffs do not…

OptionsDerivatives pricingStatistics
Quant Q&A

The document explains why a delta-gamma-theta estimate can differ from an option’s actual price change when the underlying price moves substantially. The approximation combines the first-order delta effect and second-order gamma effect of a stock-price move…

OptionsDerivatives pricingRisk management
Quant Q&A

The document asks whether a one-factor Hull–White interest-rate model can price a European swaption that includes a floor on its floating leg while matching both swaption volatility and LIBOR volatility. The response says that fitting the floor or cap market…

Fixed incomeOptionsDerivatives pricing
Quant Q&A

The note explains how practitioners should choose finite-difference bumps when calculating time-sensitive option Greeks and related risk measures. A bump should be large enough to avoid numerical noise yet small enough to represent the sensitivity of…

OptionsDerivatives pricingRisk managementFixed income
Quant Q&A

The discussion considers whether tree and finite-difference methods can price convertible bonds whose call, put, or conversion-reset rules depend on past stock prices and allow early exercise. The central method is to add auxiliary state variables that…

OptionsFixed incomeDerivatives pricingStatistics
Quant Q&A

The document asks why formulas connecting local volatility to implied volatility appear to give zero volatility when the underlying price equals the strike. That apparent result would make the equations seem unusable for at-the-money options, and values near…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document addresses the sign of interest rate sensitivity, or rho, for call and put options. It identifies a likely typographical mistake in a cited book: under the standard setup discussed, call rho is positive and put rho is negative. The explanation…

OptionsDerivatives pricing
Quant Q&A

The document considers whether buying a CADUSD put and selling a USDCAD call could create an arbitrage because their quoted premiums and payoffs appear to leave a net credit. The question highlights that the currencies are inversely related and argues that…

OptionsForexArbitrage
Quant Q&A

The answer shows how to price a European average-price call option using QuantLib’s continuous geometric averaging Asian option class. It sets up a call payoff and European exercise date, then supplies an initial asset value, constant volatility, and flat…

OptionsDerivatives pricingStatistics