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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 introduces replication of common option strategies, including vertical spreads, butterflies, straddles, and strangles. Its central idea is to build a target payoff by combining simpler instruments, particularly zero-coupon bonds and European…

OptionsDerivatives pricing
Quant Q&A

The discussion explains that counting Brownian drivers and risky assets alone does not establish market incompleteness. In the example, the two assets depend on three named Brownian motions, but their exposures can be rewritten using only two independent…

Derivatives pricingStatisticsRisk management
Quant Q&A

The document asks whether TA-Lib can speed up calculation of an exponentially weighted moving standard deviation. It distinguishes TA-Lib’s rolling standard deviation from the exponentially weighted statistic provided by pandas. The proposed custom Numba…

Technical indicatorsStatisticsVolatility
Quant Q&A

The document compares financial mathematics with risk theory and risk management, noting that their methods can overlap while their scope and probability conventions differ. Financial mathematics is presented as quantitatively focused, with applications such…

Risk managementStatisticsDerivatives pricing
Quant Q&A

The document explains that “not rated” does not have one universal industry meaning. Its interpretation depends on the credit-rating agency or agencies included in the analysis. In common usage, an issuer may be described as not rated when none of the major…

Fixed incomeStatistics
Quant Q&A

The document asks how to estimate annual mean returns and a four-asset covariance matrix from quarterly observations. It states the correct compounding relationship: an annual return is the product of the four quarterly gross returns minus one. The proposed…

Multi-assetStatisticsPortfolio construction
Quant Q&A

The document derives a strong solution for a stochastic differential equation whose drift is inversely proportional to the state and whose diffusion is proportional to the state. One approach applies Itô’s formula to the squared process, turning it into a…

StatisticsDerivatives pricing
Quant Q&A

The document discusses the exposure profile of a buyer of credit protection in a single-name credit default swap. It explains the contract’s value as the protection leg minus the premium leg: as time passes, fewer premium payments remain, while the…

Fixed incomeDerivatives pricingRisk management
Quant Q&A

The document asks how a positively skewed stock-price distribution affects Black–Scholes–Merton option valuations across strikes. It includes two brief responses: one links right-skewed outcomes to greater probability of high terminal prices and a higher…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document asks whether investors can build a diversified portfolio with higher expected returns by combining risky investments whose returns are uncorrelated. It frames the question with an asset-pricing relation in which price depends on expected future…

Portfolio constructionRisk managementStatistics
Quant Q&A

The document presents a simple moving-average backtester for shares, with signals based on a fast and slow average, position sizing, cash accounting, and portfolio equity. The reported output contains missing values, and the answer points to a likely cause…

BacktestingEquitiesTechnical indicatorsExecution
Quant Q&A

The document clarifies several measures of interest-rate sensitivity whose names are used inconsistently. Bond DV01 is described as the price change for a one basis point move in the bond’s own yield, commonly its yield to maturity. This differs from…

Fixed incomeRisk managementDerivatives pricing
Quant Q&A

The document evaluates whether the Stratonovich integral of Brownian motion with respect to itself is a martingale. It derives the integral from symmetric partition sums: each term becomes a difference of squared Brownian values, and the sum telescopes.…

Statistics
Quant Q&A

The document considers how to calculate option deltas across strikes when implied volatility varies with strike. It frames the key issue as selecting the implied volatility input to Black–Scholes when the volatility surface is skewed, especially for hedging…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document addresses the intuition behind the Black-Scholes call price as volatility grows without bound. An accepted explanation states that the call approaches the discounted value of the underlying forward, which is the spot price when dividends and…

OptionsDerivatives pricingVolatility
Quant Q&A

The document surveys lower-cost sources for historical financial statements, aimed at students or researchers who need panel data on US companies. The requested fields include balance-sheet, income-statement, and cash-flow items, along with ticker, period…

EquitiesUS marketsFactor investing
Quant Q&A

The document asks how to adjust statistical significance when a trading rule is selected by optimizing continuous parameters, using moving-average lengths as an example. It contrasts this with calendar-effect research, where a finite set of candidate rules…

StatisticsBacktestingTechnical indicators
Quant Q&A

The document compares using one size-adjusted micro-price to guide both sides of a market-making quote with maintaining separate bid and offer fair values. Its examples use futures order-book prices and displayed sizes: the micro-price shifts toward the side…

FuturesMarket makingMarket microstructureExecution
Quant Q&A

The document explores how to interpret an integral whose integrand is the terminal Brownian value, which depends on future information and therefore is not admissible in the ordinary Itô integral. It contrasts the stated identity for this anticipating…

Statistics
Quant Q&A

The document distinguishes two definitions of tracking error and explains how each relates to a portfolio’s beta against its benchmark. When tracking error is the volatility of active returns—the portfolio return minus the benchmark return—a beta of one is…

Portfolio constructionRisk managementStatistics
Quant Q&A

The document explains why the estimated constant in a GARCH return model may differ from the ordinary sample mean. The sample mean gives every observation equal weight. Under a GARCH model, observations have different conditional volatility, so…

StatisticsVolatilityEquitiesBacktesting
Quant Q&A

The document corrects a claim about the delta of a down-and-out call as the underlying approaches its lower barrier. It explains that delta generally falls toward zero near the barrier, since reaching the barrier knocks out the option. For options close to…

OptionsDerivatives pricingVolatility
Quant Q&A

The document outlines a practical workflow for stock factor investing: define an investible universe, collect and process factor data, then rank or score securities. It describes several ways to turn scores into holdings, including selecting a subset and…

EquitiesFactor investingPortfolio constructionBacktesting
Quant Q&A

The document presents a dividend-entitlement question involving an investor who holds shares before an ex-dividend date, buys additional shares during that date, and sells the entire position later the same day. It asks whether the eventual cash dividend is…

EquitiesEvent-drivenUS markets