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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

20,364 documents

Quant Q&A

The document examines a bootstrap calculation for a six-month continuously compounded zero rate using bond prices, coupon cash flows, and a one-year zero rate. Its central lesson is that a shorter-maturity spot rate can be higher than a longer-maturity rate;…

Fixed incomeStatistics
Quant Q&A

The document explains a simple way to estimate an option’s future value across a range of underlying prices for a platform-style P&L chart. The proposed baseline is to reprice with Black–Scholes using the remaining time to expiry and a chosen volatility,…

OptionsDerivatives pricingVolatility
Quant Q&A

The document asks how to identify the best- and worst-performing US stocks on a historical date, using percentage change as the ranking measure. The replies suggest sorting S&P 500 constituents by daily change with a market-data site or using Bloomberg’s…

EquitiesUS marketsStatistics
Quant Q&A

The document raises the problem of selecting a risk-free rate when valuing historical option data. It notes that rates such as Treasury or constant-maturity yields, OIS, SOFR, LIBOR, and policy rates have all been suggested, and asks which benchmark fits…

OptionsDerivatives pricingFixed incomeBacktesting
Quant Q&A

The document explains how to approximate an option’s delta numerically. Delta is the derivative of the option value with respect to the underlying asset price, describing how much the option value changes for a small change in that price. When an analytic…

OptionsDerivatives pricingStatistics
Quant Q&A

The document derives the covariance between two time integrals of standard Brownian motion, taken over horizons s and t. Because each integral has zero expectation, their covariance is the expected value of their product. Interchanging expectation and…

Statistics
Quant Q&A

The discussion examines how missing observations can affect comparisons between observed and model-generated time series, including running RMSE. It warns that interpolation may preserve the series’ central level while understating uncertainty, and that…

StatisticsBacktesting
Quant Q&A

This troubleshooting exchange concerns constructing an interest-rate cap in QuantLib C++. The example builds a floating leg from an Ibor index and attempts to create a cap, but runtime initialization fails because the leg has no notional. The author notes…

Fixed incomeDerivatives pricingOptions
Quant Q&A

The question considers how a call’s value might change when stock returns have fatter tails than a log-normal model. It gives a numerical setup with zero interest rate, specified volatility and maturity, and an initial stock price equal to the strike. The…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The discussion asks how to interpret the covariance between an underlying asset and the discount factor under the risk-neutral measure, in connection with the forward–futures spread. One answer recommends interpreting risk-neutral quantities from the…

FuturesDerivatives pricingStatistics
Quant Q&A

This discussion explains how option quotes on a less liquid stock can reflect both the difficulty of hedging in the underlying and the flow of customer orders. Market makers account for hedge liquidity in their bid–ask spreads and implied volatility, so…

OptionsMarket makingVolatilityMarket microstructure
Quant Q&A

The document addresses whether the numeraire used in the Linear Gaussian Model must first be identified as a specific traded asset, and whether defining the state process through a measure associated with that numeraire is circular. The answer distinguishes…

Derivatives pricingFixed incomeStatistics
Quant Q&A

The document introduces approaches for judging whether a stock may be undervalued, including comparing price-to-earnings and price-to-book ratios with industry peers. Its example treats a utility company with a higher P/E than its sector as potentially…

EquitiesFactor investingStatistics
Quant Q&A

The document explains why a rise in interest rates can increase a call option's theoretical value, despite the possibility that higher rates may weigh on share prices. In option valuation, the strike payment is made in the future, so a higher discount rate…

OptionsDerivatives pricingEquities
Quant Q&A

The document asks how to interpret the integral of a stochastic process's intensity over the interval between two consecutive arrivals. It contrasts the usual interpretation of integrated intensity as an expected event count over a fixed time window with a…

StatisticsBacktesting
Quant Q&A

The document raises a pricing question about the embedded call feature in a callable floating-rate note. The author understands a callable bond as a straight bond combined with a short receiver swaption, and asks how to isolate or value the option component…

Fixed incomeOptionsDerivatives pricing
Quant Q&A

The document explains the inputs and calculation used by MATLAB’s PORTVAR function. Asset data are arranged with one security’s historical observations in each column, and portfolio weights correspond to those columns. If weights are omitted, the function…

Portfolio constructionStatisticsRisk management
Quant Q&A

The document outlines three broad approaches to credit portfolio management: structural models, actuarial or intensity models, and macro-factor or econometric models. It mentions KMV-style models and CreditMetrics as examples associated with the structural…

Fixed incomeRisk managementStatistics
Quant Q&A

The document considers how to compare a fixed-income security’s price series with a US Treasury bill as a risk-free benchmark, particularly when the intended holding period is only a few days. It notes that there is no universally correct maturity to use and…

Fixed incomeUS marketsRisk management
Quant Q&A

The document asks how to build a multi-year time series for a three-month futures contract while handling contract rolls. The author is concerned that prices are volatile on roll days and asks about interpolation or using calendar spreads to create…

FuturesStatisticsBacktesting
Quant Q&A

The document distinguishes Avellaneda–Stoikov quote placement from the choice of order quantity. The model’s quoted prices respond to inventory and other model inputs, while its trade units are relative: scaling every unit by the same factor does not change…

Market makingHigh-frequency tradingPosition sizingRisk management
Quant Q&A

The document asks how selecting an iron condor’s short strikes by option delta relates to changes in implied volatility. The central question is whether choosing a target delta makes the spread width adjust as volatility changes, even though the distance…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document considers the reciprocal of a stock price modeled by geometric Brownian motion (GBM). It gives the standard GBM solution and uses the moment-generating identity for a Gaussian variable to derive the reciprocal’s mean. For initial price S₀, drift…

StatisticsVolatilityBacktesting
Quant Q&A

The document addresses which bond price belongs in a duration calculation. It defines modified duration using the derivative of price with respect to yield divided by price, and identifies that price as the dirty price, which includes accrued coupon…

Fixed incomeRisk managementDerivatives pricing