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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

20,364 documents

Quant Q&A

The document explains how to use QuantLib’s FixedRateBondHelper to bootstrap a discount curve from bond market data. It distinguishes the bond’s coupon, which defines its scheduled cash flows, from its quoted price, which calibrates the curve. Short-maturity…

Fixed incomeDerivatives pricingBacktesting
Quant Q&A

The note explains how a proportional deterministic change in a stock price leads to continuously compounded returns. Starting from the model dx/x = a dt when the stochastic term is absent, recognize that dx/x is the differential of the natural logarithm of…

EquitiesStatisticsDerivatives pricing
Quant Q&A

The note addresses whether factors in an asset-pricing model must be returns on traded portfolios. It describes a macroeconomic factor model that includes measures such as industrial production growth and inflation surprises alongside bond return spreads.…

Factor investingFixed incomeStatisticsPortfolio construction
Quant Q&A

The note derives bond price sensitivity to yield for a bond with semiannual coupons and corrects a missing chain-rule factor. Differentiating the discounted cash-flow formula with respect to yield introduces a factor of one half in the first derivative and…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The note explains why a floating-rate bond is generally valued near its face value when issued and immediately after a coupon resets. For the first accrual period, the forward coupon rate is already known and matches the discount rate used for that period,…

Fixed incomeDerivatives pricingCarry
Quant Q&A

The document compares several definitions of high-frequency trading and explains why trades per second alone do not settle the question. Some answers focus on very short holding periods or tick-level data, while another emphasizes latency-sensitive…

High-frequency tradingMarket microstructureExecutionMarket making
Quant Q&A

The document presents QuantLib code that constructs a Black–Scholes process and an American-style vanilla option with specified dividend dates and amounts. The pricing function accepts a valuation date, expiry, call or put designation, strike, time-step…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document asks how to invert an options pricing formula associated with Roll’s compound formula to investigate lead–lag effects between stocks and options. The author has daily data for the NIFTY index and is trying to understand work attributed to Roll…

OptionsDerivatives pricingStatistics
Quant Q&A

The document surveys ways to express a view on how volatility itself changes. It distinguishes realized volatility of volatility from implied volatility of volatility and describes several candidate exposures: options on volatility products, variance-swap…

OptionsVolatilityDerivatives pricingMarket microstructure
Quant Q&A

The document studies the Itô integral of the square root of the absolute value of a standard Brownian motion over a fixed time interval. It corrects the calculation approach by using two general properties of Itô integrals: a suitable adapted integrand…

StatisticsRisk management
Quant Q&A

The document asks when prices from a Cox–Ross–Rubinstein binomial tree converge to Black–Scholes prices as the time partition becomes finer, and whether the same behavior applies to Black pricing for options on forwards or futures. The answer gives an…

OptionsDerivatives pricingStatistics
Quant Q&A

The document discusses potential drawbacks of using deep learning to calibrate and price a full implied-volatility surface. It notes that neural methods can produce very fast calibration at application time, while training may involve substantial…

OptionsMachine learningDerivatives pricingBacktesting
Quant Q&A

The document addresses why an at-the-money call’s familiar delta of about one half does not match the full payoff change in a large, single-step move. Delta is a local sensitivity: in the theoretical continuous-time setting, it approximates how an option’s…

OptionsDerivatives pricingRisk management
Quant Q&A

The document explains how to estimate an index-futures hedge for a portfolio of stocks under the Capital Asset Pricing Model. For each holding, multiply its market value by its beta to the chosen index, then add those amounts. The resulting exposure…

EquitiesFuturesRisk managementPortfolio construction
Quant Q&A

The discussion considers how to simulate returns for a portfolio containing many equities and bonds while retaining realistic dependence across assets. The initial proposal estimates historical means, standard deviations, and correlations, draws multivariate…

Multi-assetPortfolio constructionStatisticsBacktesting
Quant Q&A

This document collects book recommendations for readers who want to understand the mathematics used in quantitative finance research. The suggestions span introductory mathematical tools, including calculus, optimization, numerical methods, and risk-neutral…

StatisticsDerivatives pricingPortfolio constructionMarket microstructure
Quant Q&A

The document raises a modeling question about combining GARCH volatility filtering with peaks-over-threshold extreme value theory (POT) and Markov chain Monte Carlo estimation. The researcher fits several conditional volatility specifications, including…

Risk managementVolatilityStatistics
Quant Q&A

The discussion examines how to value an investment described as $50,000 growing at 6% annually over ten years when the discount rate is 4%. Its central lesson is that present value depends on what the stated growth represents and when cash flows occur. If…

StatisticsFixed income
Quant Q&A

The document explains why a stochastic local volatility model can combine features of local volatility and stochastic volatility. It writes the asset’s instantaneous volatility as a stochastic factor multiplied by a state- and time-dependent local factor.…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document addresses whether CME options on one-month SOFR futures continue trading during the month when the underlying SOFR rate is measured. This matters for implied volatility modeling: if trading overlaps the averaging period, remaining uncertainty…

OptionsFuturesFixed incomeVolatility
Quant Q&A

The document presents an arbitrage argument for convexity of European call option prices as a function of strike. If the price at a middle strike were at least as high as the average prices of two equally spaced neighboring strikes, a trader could buy the…

OptionsDerivatives pricingArbitrage
Quant Q&A

The question asks whether equity prices and corporate credit spreads should move in opposite directions, especially for riskier firms, and whether that relationship carries over to stock returns and spread changes. The response invokes Merton’s structural…

EquitiesFixed incomeStatisticsRisk management
Quant Q&A

This exchange explains how to request monthly historical prices for Bloomberg securities through Rblpapi. The key correction is that periodicity is a request option, not an override: set the option name to `periodicitySelection`, use the value `MONTHLY`, and…

EquitiesUS markets