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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

21,023 documents

Quant Q&A

The document asks how to assess whether a GARCH(1,1) volatility forecast is significantly above realized volatility. It describes a proposed approach: apply an F-test to the ratio of forecasted and realized volatility, then determine the degrees of freedom…

VolatilityStatisticsRisk management
Quant Q&A

The question sets up a discretized forward-rate model in which each forward is lognormal under its associated zero-coupon bond measure. It derives the resulting normal distribution for the log forward at its fixing date and uses that distribution to motivate…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The note contrasts pricing in complete and incomplete financial models. In a complete model, it describes a unique martingale measure and a derivative price given by the discounted expectation under that measure. In an incomplete model, multiple martingale…

Derivatives pricingRisk managementStatistics
Quant Q&A

The note asks how to differentiate a Carr–Madan Fourier integral for option prices with respect to a model parameter. Since the integration limits do not depend on that parameter, the proposed application of differentiation under the integral sign leaves the…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document derives the futures price for an asset whose price process and short rate are driven partly by the same Brownian motion. Since the futures price is the expected future spot price, the solution first expresses the integrated short rate as a…

FuturesDerivatives pricingStatistics
Quant Q&A

The document raises a replication question about estimating a monthly factor regression for European equity portfolios, with particular interest in the intercept as abnormal risk-adjusted performance. It describes calculating monthly portfolio returns from…

EquitiesFactor investingStatistics
Quant Q&A

The document describes a comparison between intraday VIX-style implied volatility and realized variance computed from one-minute prices aggregated into hourly intervals. The implied measure is calculated from option prices for two maturities around 30 days,…

VolatilityStatisticsOptionsBacktesting
Quant Q&A

The document distinguishes a bid or ask tax from a transaction tax: the charge applies when a limit order is submitted, even if the order never trades. It describes two laboratory double-auction studies in which participants traded against experimenter-set…

Market microstructureExecutionStatistics
Quant Q&A

The document considers the probability that one of two correlated geometric Brownian motion prices finishes above the other, while the lower price also exceeds a threshold. It rewrites the event using shifted Brownian variables as two simultaneous…

StatisticsDerivatives pricingOptions
Quant Q&A

The document derives the variance of a weighted sum of two correlated Brownian increments. For coefficients applied to each increment, the variance includes both individual variance terms and a covariance term determined by their correlation. Since each…

StatisticsVolatilityDerivatives pricing
Quant Q&A

The document shows how to estimate geometric Brownian motion parameters from a series of daily prices. It first maps prices to log returns, which follow a normal process with drift equal to the price process’s drift minus half the variance rate. When the…

StatisticsVolatilityBacktesting
Quant Q&A

The document explains how derivatives can change a borrower’s practical liquidity and recovery profile even when derivative claims rank equally with senior debt in bankruptcy. Under collateral agreements, a firm may have to post cash or securities as market…

Fixed incomeDerivatives pricingRisk managementStatistics
Quant Q&A

The document frames a feature-selection problem using order book snapshots with five bid and ask price levels, corresponding displayed quantities, and a midprice defined from the best bid and ask. The proposed target is the change in midprice across a few…

Market microstructureHigh-frequency tradingStatistics
Quant Q&A

The document asks how to extend a CAPM certainty-equivalent present-value formula to several priced risk factors. The proposed expression subtracts each factor’s price of risk multiplied by the cash flow’s covariance with that factor, then discounts the…

Factor investingPortfolio constructionStatistics
Quant Q&A

This note applies Itô’s lemma to the logarithm of a price following geometric Brownian motion. Starting from a stochastic differential equation with drift proportional to the price and volatility proportional to the price, it differentiates the logarithm…

StatisticsVolatility
Quant Q&A

The document asks how to decide whether a portfolio consideration belongs inside an existing objective function or should be optimized as a separate objective. It starts with a conventional formulation that seeks higher expected return while controlling…

Portfolio constructionRisk managementEquitiesStatistics
Quant Q&A

The document addresses a common confusion in stochastic calculus: an Itô process can have zero quadratic variation while still having nonzero variance at a fixed time. In the example, integrating Brownian motion with respect to time yields a process whose…

StatisticsVolatility
Quant Q&A

The document asks how to derive risk-neutral dynamics for a dividend-paying asset when the bank account is the numeraire. It outlines the martingale condition for the discounted asset plus accumulated discounted dividends, then applies Itô’s formula and…

Derivatives pricingForexStatistics
Quant Q&A

The document shows why subtracting calendar dates does not reliably locate observations in daily financial data. Weekends and market holidays create gaps, so the number of elapsed days can differ from the number of rows between two trading dates. The example…

EquitiesStatisticsBacktestingTechnical indicators
Quant Q&A

The document explains XIRR as the annualized rate that equates a dated series of irregular cash flows with an equivalent constant-rate investment. Its examples contrast a simple loan with interest paid at different dates and a short holding-period trade,…

StatisticsBacktestingRisk management
Quant Q&A

The document describes a credit-risk data preparation workflow for estimating probability of default. The example defines a default event from arrears, term-expiry, or bankruptcy indicators, recodes the outcome for modeling convenience, and uses stratified…

Fixed incomeStatisticsMachine learning
Quant Q&A

The document derives a rough out-of-sample observation length for testing whether a strategy’s mean return exceeds zero. Assuming independent, identically distributed returns, it models the sample mean’s uncertainty as the return standard deviation divided…

StatisticsBacktestingRisk management
Quant Q&A

The document asks whether solutions to a linear stochastic differential equation become differentiable when Brownian noise is filtered through the system’s dynamics. The question contrasts Brownian motion’s irregular paths with the intuition that a colored…

StatisticsVolatility