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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

20,364 documents

Quant Q&A

The VIX calculation uses out-of-the-money SPX options with nonzero bids, so its option count changes as volatility and the available strike range change. The document asks how many options might be needed to replicate the index, but provides no practical…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

A par yield curve shows the coupon rate at which a bond would trade at par across maturities. The document explains why practitioners use this representation instead of plotting yields of existing coupon bonds: coupon differences and bond-specific pricing…

Fixed incomeDerivatives pricingRisk management
Quant Q&A

The document clarifies notation for the Fama-French three-factor model and explains why subscripts and the intercept matter. A conventional time-series regression expresses an asset or portfolio’s excess return as an intercept plus its loadings on the market…

EquitiesFactor investingStatistics
Quant Q&A

The document presents the credit triangle as a quick way to infer an annualized default probability from a loan’s credit spread and expected recovery rate. It defines the spread as the loan rate minus a comparable default-free rate, with known administration…

Fixed incomeRisk managementStatistics
Quant Q&A

The document explains a cross-sectional regression used to study whether stock returns in one half-hour interval respond to returns from earlier intervals. For each lag and time interval, the researchers regress the cross-section of current stock returns on…

EquitiesStatisticsHigh-frequency trading
Quant Q&A

The document examines a linear weighted moving average in which more recent closing prices receive larger weights. The original function computes each window with a loop and divides the weighted sum by the sum of the weights. The answer confirms that this…

Technical indicatorsEquitiesStatistics
Quant Q&A

The document discusses ways to backtest a daily signal that indicates buying, selling, or holding an equity position. It names R packages for strategy testing and portfolio analysis, while noting that a simple strategy can also be modeled with return and…

BacktestingEquitiesExecutionRisk management
Quant Q&A

The document asks how foreign exchange brokers decide whether to hedge a customer’s trades externally or keep the exposure in-house. It describes a proposed distinction: brokers may internalize trades from customers they expect to lose and hedge trades from…

ForexMarket microstructureRisk management
Quant Q&A

The document explains why the product of a pricing density and a self-financing portfolio value is a martingale in the Black–Scholes setting. Its central point is that martingales are defined relative to a probability measure. Under the physical measure, the…

Derivatives pricingStatisticsRisk managementFixed income
Quant Q&A

The document explains the approximate conversion between volatility swap notional and variance swap notional. A volatility swap payoff changes with volatility, while a variance swap payoff changes with squared volatility. Applying a local linear…

VolatilityDerivatives pricingOptions
Quant Q&A

The document outlines end-of-day statistics that can be computed for each ticker after a market closes. These include price and size summaries for bids and asks, spreads, executed volume, volume share, VWAP, execution counts, and intervals between trades. It…

ExecutionMarket microstructureStatisticsEquities
Quant Q&A

The document explains why cross-currency basis swaps exchanging overnight risk-free rates may trade away from zero, despite a theoretical flat-pricing argument based on covered interest parity. It describes a proposed arbitrage: borrow in one currency at its…

Fixed incomeForexArbitrageDerivatives pricing
Quant Q&A

The document examines how to construct option positions when an investor knows bounds on one or more future absolute stock price changes. It discusses using the first observed move to update the remaining bound for the next interval, then divides possible…

OptionsEquitiesVolatilityRisk management
Quant Q&A

The document describes how an insurer can model claim arrivals with a Poisson process and total claim costs with a compound Poisson process. In its auto liability example, a large, geographically dispersed group of similar policyholders generates claims that…

StatisticsRisk management
Quant Q&A

The document derives a change-of-numeraire Radon–Nikodym derivative for two positive assets. It assumes the ratio of their prices is a martingale under the original measure, uses that ratio to define a density process with expectation one, and constructs the…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The discussion explores whether equal risk contribution portfolios can be built using tail measures such as value at risk or expected shortfall, and what conditions support the approach. It highlights positive homogeneity: for a differentiable risk measure…

Portfolio constructionRisk managementStatistics
Quant Q&A

The discussion checks a far-field boundary condition for a continuously averaged Asian call under the risk-neutral Black–Scholes process. When the current asset price is very large, the option is expected to finish in the money, so its value can be…

OptionsDerivatives pricingStatistics
Quant Q&A

The discussion considers a trading research process that clusters historical intraday observations, such as daily vectors of hourly exchange rates, and then measures the next day's average return for each cluster. A researcher might use the return associated…

Machine learningStatisticsBacktestingForex
Quant Q&A

The discussion explains how the sign of a cointegration coefficient affects the positions implied by a spread. With the stated spread defined as Stock A minus beta times Stock B, a negative beta makes the second term positive, so a long spread corresponds to…

EquitiesPairs tradingStatisticsRisk management
Quant Q&A

The document discusses timestamp reliability in free historical data from Gain Capital, especially for combining non-FX instruments or multiple feeds in a backtest. One respondent reports that observations were correctly ordered within individual CSV files…

Market microstructureBacktestingExecutionForex
Quant Q&A

The document offers guidance for choosing a short applied mathematics project involving financial data and time-series analysis. It recommends aligning the topic with the supervisor’s research interests and adapting an existing empirical paper into a smaller…

StatisticsHigh-frequency tradingPortfolio constructionVolatility
Quant Q&A

The document asks how to interpret and scale parameters estimated for a Bates stochastic volatility model from daily log returns, using the mean reversion parameter κ as an example. It distinguishes estimates under the real-world probability measure from…

Derivatives pricingVolatilityStatistics
Quant Q&A

The document asks whether positive gamma is generally costly, negative gamma earns premium, and theta tends to have the opposite sign from gamma. It frames theta as the carrying cost of holding long gamma and asks whether these observations can be proved…

OptionsDerivatives pricingVolatility
Quant Q&A

The discussion examines whether principal component analysis of yield curves has practical value beyond describing movements as level, slope, and curvature. One answer argues that PCA may help create a denoised correlation matrix, but questions using…

Fixed incomeStatisticsRisk managementPortfolio construction