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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
Quantpedia
86 documents
TqSdk
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

20,364 documents

Quant Q&A

The discussion explains how a contract combining one touch barrier with one no-touch barrier can pay, using upper and lower barriers as an example. A one-touch feature generally triggers a payout when its barrier is reached, while a no-touch feature can…

OptionsDerivatives pricing
Quant Q&A

The document clarifies the dividend-yield convention used in the Goyal and Welch stock return predictability data. The dataset’s dividend yield is computed as aggregate dividends paid by all stocks divided by total stock market capitalization measured at the…

EquitiesStatisticsFactor investing
Quant Q&A

The document explains how prices of European receiver swaptions relate to the risk-neutral distribution of the underlying swap rate. It corrects the idea that an out-of-the-money premium, compared directly with an at-the-money premium, gives the probability…

Fixed incomeOptionsDerivatives pricingStatistics
Quant Q&A

The document addresses whether value at risk remains useful despite shortcomings in how it is sometimes interpreted and its failure to satisfy coherence. It explains that financial institutions use VaR as one component of risk management, often with models…

Risk managementStatistics
Quant Q&A

The document outlines maximum-likelihood estimation for a GARCH(1,1)-M return model under the physical measure, then discusses an implementation problem in an R optimizer. The model specifies conditional returns using a known risk-free rate, an estimated…

StatisticsVolatilityOptionsDerivatives pricing
Quant Q&A

The document concerns noisy, incomplete one-minute price and volume data for several stocks, with the goal of forecasting volatility for the month after the sample ends and investigating whether volatility is related to liquidity. The response recommends an…

High-frequency tradingVolatilityEquitiesStatistics
Quant Q&A

The document asks how investors’ target risk might be chosen in light of wealth, future income, savings, housing, and expected expenses. It contrasts this problem with broad allocation rules and age-based target-date strategies, then proposes a questionnaire…

Risk managementPortfolio constructionStatistics
Quant Q&A

The document considers whether borrowing at a low nominal rate and buying goods whose prices rise with inflation creates an arbitrage. The answer explains that a consumer price basket is not a readily tradable investment: it includes perishable goods and…

ArbitrageFixed incomeUS markets
Quant Q&A

The document poses a one-period binomial market problem with a risk-free asset and a stock that can finish in either an up or down state. It asks how to establish no arbitrage, replicate a claim whose payoff is the squared terminal stock price, calculate the…

Derivatives pricingArbitrageStatistics
Quant Q&A

The document asks whether adding a derivative that depends on an otherwise unspanned source of risk makes an incomplete market complete. It sets up a continuous-time market with fewer traded risky assets than Brownian risk sources, including an example where…

Derivatives pricingRisk managementStatisticsPortfolio construction
Quant Q&A

The document examines a covered interest parity example involving Australian and US interest rates and a spot exchange rate quoted in US dollars per Australian dollar. The example applies the rate differential over the contract term to derive a forward…

ForexCarryArbitrageFixed income
Quant Q&A

The document asks how to translate a 90-day SOFR market rate into a comparable three-month LIBOR rate. It highlights a key timing distinction: SOFR for the accrual period is compounded in arrears, so the realized period rate is not known until the period…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document distinguishes implied volatility from historical volatility. Implied volatility is the volatility parameter that makes an option pricing model reproduce the market price of an option; it is inferred from current prices rather than calculated…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document asks whether a one-period market is arbitrage-free whenever the asset’s log return has a continuous distribution over the real line, and whether such a distribution guarantees a martingale measure. The motivating comparison is with a…

StatisticsRisk managementDerivatives pricing
Quant Q&A

The document considers how to infer whether a trade was buyer or seller initiated when a feed omits the aggressor-side field. A basic quote test labels trades at or above the best ask as buys and those at or below the best bid as sells, leaving trades inside…

Market microstructureExecutionHigh-frequency trading
Quant Q&A

The document discusses Hull’s formula for estimating a portfolio’s high-confidence default rate over a fixed horizon. It applies the inverse normal distribution to the probability of default and confidence level, with asset correlation entering through a…

Fixed incomeRisk managementStatistics
Quant Q&A

The explanation links negative correlation between an asset’s spot price and its instantaneous volatility to a downward implied-volatility skew. It contrasts the result with the standard Black–Scholes assumption of constant volatility, under which…

OptionsVolatilityDerivatives pricing
Quant Q&A

The note explains a discrepancy between manually interpolated annual-compounded zero rates and rates returned between curve pillars by QuantLib. The key point is that the curve interpolates continuously compounded zero rates, even when its configured…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document frames a portfolio stress test for zero-coupon bonds using key-rate DV01 exposures. Each maturity bucket has minimum and maximum allowed DV01 bounds, and the sum of the bucket exposures is subject to an overall limit. Given a stress vector…

Fixed incomeRisk managementPortfolio construction
Quant Q&A

The answer uses the martingale concept to explain why, under a simplified random-walk model, an increase in portfolio wealth has the same expected value at a later time. A martingale is defined by the condition that the conditional expectation of a future…

StatisticsEquitiesDerivatives pricing
Quant Q&A

The document asks whether the size at the best bid and ask in a limit order book can be modeled to predict when the current top price level will disappear. It clarifies that quote entries have size, while volume refers to executed trades. One suggested…

Market microstructureExecutionStatistics
Quant Q&A

The discussion explains why an index does not itself have a single gamma position and how market commentary may instead estimate the aggregate gamma exposure of option dealers. A simplified calculation assigns dealers the opposite side of customer put and…

OptionsDerivatives pricingMarket microstructure
Quant Q&A

The document presents several uses of the term microstructure noise. In high-frequency econometrics, it can mean disturbances that make estimates such as realized volatility unstable. In market microstructure, it can refer to observed price deviations from…

Market microstructureHigh-frequency tradingVolatilityStatistics
Quant Q&A

The document outlines a Monte Carlo procedure for generating joint price paths for several stocks. First, draw a matrix of returns whose asset-level observations at each time step follow a specified multivariate distribution, using a covariance structure to…

EquitiesStatisticsPortfolio constructionRisk management