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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 document examines a potential domain issue in a paper on utility maximization in finite probability spaces. It describes a conjugate function defined for strictly positive arguments, then questions a later expression that evaluates the function at a…

Derivatives pricingStatisticsRisk management
Quant Q&A

The document derives an expression for the expected log return over a time interval under a local volatility stochastic differential equation. Applying Itô’s lemma gives a drift contribution and a negative half-variance contribution; the expected stochastic…

VolatilityStatisticsDerivatives pricing
Quant Q&A

The document asks how to calculate the variance of a discounted European call or put payoff under the Black–Scholes assumptions. Its answer outlines a second-moment approach: variance equals the expected squared payoff minus the square of its expected value.…

OptionsDerivatives pricingStatistics
Quant Q&A

The document frames interest rate modeling as a historical progression, listing equilibrium models such as Vasicek and CIR, no-arbitrage models such as Ho–Lee and Hull–White, multifactor models, the HJM framework, the Libor Market Model, and the Forward…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document asks how to infer market expectations for a future central bank decision from overnight indexed swaps or short-term interest rate futures. It introduces an OIS relationship that equates the fixed leg’s accumulation with compounded daily…

Fixed incomeFuturesDerivatives pricing
Quant Q&A

The document investigates why zero rates bootstrapped from USD overnight indexed swap quotes in QuantLib differ from Bloomberg values. It presents a curve-building example and identifies several convention mismatches that can explain the discrepancy: the OIS…

Fixed incomeDerivatives pricingUS markets
Quant Q&A

The note considers which call strike to use when a trader expects realized volatility to exceed implied volatility and plans to delta hedge, aiming for gamma gains to outweigh option decay. It explains that the approximate gamma contribution to daily profit…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document considers whether option pricing should distinguish upward from downward volatility. One response frames asymmetric volatility as a choice of a different underlying model, with risk-neutral pricing still used to value options. It suggests…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document clarifies broad job terminology for research into fixed-income investment strategies. Index strategies aim to track a benchmark passively, while alpha strategies use an active systematic approach intended to outperform that benchmark. Momentum…

Fixed incomeMomentumFactor investing
Quant Q&A

The document explains how to extend minimum-variance portfolio construction by adding a penalty on asset weights while keeping the weights summing to one. It notes that a convex penalty yields a convex optimization problem that can be solved numerically,…

Portfolio constructionRisk managementStatistics
Quant Q&A

The document explains why expected shortfall for the sum of two loss variables is no greater than the sum of their separate expected shortfalls. The key idea is that the worst observations for the combined portfolio generally differ from the worst…

Risk managementStatisticsPortfolio construction
Quant Q&A

The document asks what implied-volatility fitting error is acceptable for an equity-index surface calibrated with stochastic-volatility models such as Heston or SABR. The replies do not establish a universal tolerance. One practical suggestion is to compare…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document answers a request for accessible textbook guidance on constructing factor-mimicking portfolios. It recommends CFA Level III study notes as a relatively plain-language source, specifically citing two volumes from an older edition. It also points…

Factor investingPortfolio construction
Quant Q&A

The document considers how to allocate a fixed portfolio among four hedge funds when their returns are assumed independent and each fund has a purchase limit. It explains that zero correlations do not prevent mean-variance optimization: the covariance matrix…

Portfolio constructionRisk managementPosition sizing
Quant Q&A

The document asks whether a QuantLib term structure can use one interpolation style for the short end and another beyond a chosen maturity. The example is an overnight-indexed swap curve with flat, stepwise behavior around central-bank meeting dates,…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document considers how to build a weighted index from several equity index series when their market calendars do not match. It identifies two basic approaches: restrict calculations to dates common to all series, or carry forward the previous available…

EquitiesPortfolio constructionBacktesting
Quant Q&A

The document compares distributional choices for modeling interest rates, beginning with a proposed sequence of nonnegative independent observations. Responses caution that this assumption misses persistence and changing volatility: rates tend to cluster…

Fixed incomeStatisticsMean reversionVolatility
Quant Q&A

The document asks how a paper’s infinite-product representation of a pricing kernel relates to the familiar one-period stochastic discount factor and the change of measure from historical probabilities to risk-neutral probabilities. It outlines an affine…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document asks whether bootstrap resampling should happen before strategy data mining or after a candidate strategy has been selected. It describes a monthly SPY and TLT rebalancing strategy tested over six years and 72 trades, reporting a backtest Sharpe…

BacktestingStatisticsMachine learningPortfolio construction
Quant Q&A

The document addresses how to calculate earnings before tax in a financing model when a company earns interest on cash. It asks whether interest income should be added to EBIT alongside the subtraction of interest expense. The answer cautions that interest…

EquitiesStatistics
Quant Q&A

The document explains an event equality for a continuous Brownian motion starting below a level u. It compares paths that reach a higher threshold, 2u−d, after the first time they hit u with paths that reach that higher threshold at any time before T. Given…

Statistics
Quant Q&A

The document discusses a lower-cost approach to storing and querying market tick and bar data when specialized financial databases are too expensive. The response suggests using an OLAP server with cube-based aggregation. It describes persisting ticks at…

Market microstructureExecutionBacktesting
Quant Q&A

The document explains why two derivatives for a two-asset portfolio's volatility differ when one asset's weight is constrained to equal one minus the other's. Roncalli's marginal risk contribution is a partial derivative: it varies one asset's weight while…

Portfolio constructionRisk managementStatistics
Quant Q&A

The document asks how to adapt a closed-form implied volatility estimator from a call option to a put. It presents an equation attributed to Hallerbach (2004) for estimating volatility from a call price, spot price, strike, and time to expiry. This makes the…

OptionsVolatilityDerivatives pricing