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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

20,364 documents

Quant Q&A

The document asks how to price a floating-strike American lookback option when the client pays a running fee over the option’s life instead of an upfront premium. It contrasts this with a European option, where the questioner views the total fee over the…

OptionsDerivatives pricingVolatility
Quant Q&A

The document asks why financing rates implied by synthetic equity forwards are near money-market benchmarks for easy-to-borrow stocks in some regions, while appearing higher relative to the cited benchmark in the United States. It focuses on the repo…

EquitiesFixed incomeArbitrageMarket microstructure
Quant Q&A

The document asks where to obtain long histories of arbitrage basis measures, such as the difference between on-the-run and off-the-run securities. It offers both direct sources for precomputed measures and sources from which researchers could assemble their…

Fixed incomeArbitrageBacktesting
Quant Q&A

The document defines a contingent payment at the later date: it pays only if the risky issuer’s earlier-maturing bond pays in full and its later-maturing bond defaults. It asks whether risk-free and risky zero-coupon bonds at the two maturities can replicate…

Fixed incomeDerivatives pricing
Quant Q&A

The document explains why credit risk management may distinguish wholesale exposures from other credit categories: the term is part of the Basel model taxonomy used in capital adequacy standards. It reports that banks group exposures into wholesale, retail,…

Risk managementFixed income
Quant Q&A

The document considers how to price swaptions at expiry and tenor points that were not directly calibrated, using a SABR volatility cube built from market observations. One proposed practice is to interpolate total implied variance across the cube for the…

OptionsDerivatives pricingVolatilityFixed income
Quant Q&A

The document raises a practical question about annualizing a Sharpe ratio calculated from a strategy that trades on five-minute or hourly bars. It contrasts the familiar daily scaling factor based on 252 trading days with scaling by the square root of the…

StatisticsBacktesting
Quant Q&A

The document discusses how to combine long and short strategies when their signals are ranks with different scales. Directly averaging or adding those signals may not produce sensible portfolio exposures, so the answer frames the task as assigning capital…

Portfolio constructionRisk managementBacktestingStatistics
Quant Q&A

The document separates two ways of discussing equity option skew. Black–Scholes implied volatility expresses observed prices through a model that assumes Gaussian log returns; varying implied volatility across strikes describes the market smile or skew. An…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document addresses whether a Bloomberg swaption premium quote represents a payer or receiver option when calibrating a Hull–White model. The answer says the cited quote is for a straddle, so its premium combines payer and receiver values. It points to…

OptionsFixed incomeDerivatives pricingVolatility
Quant Q&A

The document asks how to allocate a fixed budget across several investment opportunities whose occurrence is independent, whose returns depend on allocated amounts, and whose parameters may be uncertain. It distinguishes this setup from single-bet Kelly…

Portfolio constructionPosition sizingRisk managementStatistics
Quant Q&A

This document explains how to calibrate a pricing model by selecting parameters that bring model prices close to observed market prices, using an error measure such as mean absolute error or root mean square error. It discusses choosing an optimization…

Derivatives pricingStatisticsBacktestingExecution
Quant Q&A

The document distinguishes the forecasts implied by stochastic interest rate models from their common use in pricing derivatives. A random walk model keeps the expected future short rate at its current level, while a Vasicek model makes the expected rate…

Fixed incomeDerivatives pricingStatisticsRisk management
Quant Q&A

The document explains why the value process of a perpetual American put is a supermartingale. Its central intuition is that the holder’s option to exercise now has value: waiting delays access to the payoff and risks losing the opportunity to exercise under…

OptionsDerivatives pricingStatistics
Quant Q&A

The document asks how to calculate a basic win percentage for a trend-following model that produces long and short signals. The proposed approach is to compare the price when a signal begins with the price when the signal changes, count a trade as a win if…

Trend followingTechnical indicatorsBacktesting
Quant Q&A

The document explains why interest rate parity using two money market curves and spot FX may not reproduce traded FX forward prices. A cross-currency basis captures the difference between the parity-implied result and market pricing, reflecting funding…

ForexFixed incomeArbitrageRisk management
Quant Q&A

The document surveys approaches to interpolating option prices or implied volatility while preserving no-arbitrage properties. It recommends normalizing for drift and dividends and working in forward moneyness rather than absolute strike; the resulting price…

OptionsDerivatives pricingVolatilityArbitrage
Quant Q&A

The document explains why a call-option pricing integral can be written in terms of the log of the terminal asset price. The key point is that the second expression is not obtained by merely substituting a logarithm into the original integral over price.…

OptionsDerivatives pricingStatistics
Quant Q&A

Factor timing means adjusting portfolio exposure to factors in anticipation of how their returns may change. The document uses growth stocks as an example, noting that their relative performance may vary between economic expansion and crisis. It also…

Factor investingPortfolio constructionStatisticsMulti-asset
Quant Q&A

The document distinguishes the VIX index from a volatility swap by comparing the quantities each represents. VIX is described as the square root of a variance swap strike, with variance expressed in volatility units. A volatility swap instead pays against…

VolatilityDerivatives pricingFuturesOptions
Quant Q&A

The document presents a bond pricing mismatch: a fixed-coupon bond's calculated price is about a dollar away from a Bloomberg screen, and the questioner suspects the day-count convention. The accepted response says the quoted value appears correct and points…

Fixed incomeDerivatives pricingRisk management
Quant Q&A

The document describes an attempt to calculate the effective annual yield to maturity of a zero-coupon bond using rateslib. It provides a settlement date, a 30/360 day-count convention, and a bond setup with annual frequency, zero coupon, and a specified…

Fixed incomeDerivatives pricing
Quant Q&A

The document explores whether risk-neutral derivative pricing can be understood through conditional expectation. It sets up a one-period binomial model with a stock, a bond, and a call payoff, then writes the option value as the discounted expected payoff…

OptionsDerivatives pricingStatisticsArbitrage
Quant Q&A

The document asks why otherwise comparable swaps traded through different clearing venues, such as CME and LCH, may have different quoted rates. It proposes evaluating the basis by considering the costs and risks of buying one swap and selling the other, and…

FuturesArbitrageMarket microstructureDerivatives pricing