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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 addresses numerical breakdown in SABR normal implied volatility calculations when the forward price equals the strike. In the cited formulation, the intermediate function chi depends on zeta, which becomes zero at this at-the-money point; direct…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document presents an attempted Kalman filter implementation for estimating a changing hedge ratio between two cointegrated stock log-price series. The proposed state is a single beta that evolves over time, with the second stock’s log price treated as…

EquitiesPairs tradingStatisticsMachine learning
Quant Q&A

The document explains option Greeks in the Heston stochastic volatility model, focusing on delta as the sensitivity of theoretical option value to the underlying price. It also defines gamma, rate sensitivity, theta, sensitivity to variance, vanna, and…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document examines whether the arithmetic average of two independent standard Brownian motions is itself a standard Brownian motion. The average starts at zero, has continuous paths, and its increments remain Gaussian with mean zero. Independence makes…

StatisticsRisk management
Quant Q&A

The document explains the intuition behind the claim that riskier assets offer higher expected returns. If investors view an asset as riskier, they require compensation for bearing that uncertainty. Their reluctance to buy it at the same price as a safer…

Risk managementStatistics
Quant Q&A

A stock quote shows a dividend figure and yield, leading an investor to ask whether owning two shares will produce that amount in monthly cash. The response explains that a displayed dividend value can represent different measures, including an annualized…

EquitiesUS markets
Quant Q&A

A student preparing for an exam asks which quantitative risk management topics to review and seeks an accessible online book. The accepted response recommends a book on integrated energy risk management, noting that it introduces core risk concepts in the…

CommoditiesRisk management
Quant Q&A

The document asks whether several historical volatility estimators can be ranked from largest to smallest: close-to-close variants and range-based estimators including Parkinson, Garman–Klass, Rogers–Satchell, and Yang–Zhang. The answer says a universal…

VolatilityStatisticsBacktesting
Quant Q&A

The document seeks an intuitive explanation of the integral definition of fractional Brownian motion and asks why its construction includes negative times. The responses describe the Hurst exponent as controlling how increments scale with time and how…

StatisticsMean reversionVolatility
Quant Q&A

The document explains why the intercept in a standard GARCH(1,1) conditional variance equation is usually constrained to be strictly positive, even when the lagged squared return and lagged variance terms are nonnegative. The accepted answer distinguishes…

StatisticsVolatilityRisk management
Quant Q&A

The document asks how to express time-sensitive inputs when using a closed-form option pricing approximation, specifically the Bjerksund–Stensland model. The question lists the risk-free rate, volatility, time to expiration, and cost of carry, and asks…

OptionsDerivatives pricingVolatility
Quant Q&A

The question highlights a difficulty in analyzing foreign exchange rates: bilateral pairs that share a currency can move together because of changes affecting that currency. It asks whether another asset, such as gold, could serve as a common reference for…

ForexStatistics
Quant Q&A

The discussion compares Bayesian and frequentist approaches in finance and argues that method choice should depend on the data, model, and question. Frequentist tools include least-squares estimation and hypothesis testing. Bayesian methods add prior…

StatisticsPortfolio constructionRisk managementMachine learning
Quant Q&A

The document considers an investor who spends an initial amount evenly over a fixed interval to buy shares of a stock with stochastic price dynamics. The number of shares accumulated changes over time according to the spending rate divided by the current…

EquitiesStatistics
Quant Q&A

The document uses a fixed-coupon bond example to ask how to interpret Macaulay duration, modified duration, and convexity. It presents the bond price as the discounted value of coupon and principal cash flows, then identifies modified duration with the…

Fixed incomeRisk managementStatistics
Quant Q&A

The document examines why European call and put prices are equal when the strike equals the asset’s forward price. Put-call parity states that their price difference is the spot price minus the discounted strike; setting the strike to the no-arbitrage…

OptionsDerivatives pricingArbitrage
Quant Q&A

The document describes a workflow for pricing interest-rate caps at multiple valuation dates with QuantLib. It builds yield curves from dated market data, interpolates cap volatilities across maturities, then creates Euribor-linked cap instruments and prices…

Fixed incomeDerivatives pricingVolatility
Quant Q&A

The document develops a definition of realized gamma from the second-order term in an option’s price change. It defines gamma dollars as one half of spot squared times option gamma, then uses the diffusion component of spot’s change to show that the option’s…

OptionsVolatilityDerivatives pricing
Quant Q&A

The post explains two treasury uses of FX swaps: obtaining needed local-currency cash and putting idle balances to work through carry. In an emerging-market banking example, depositors and businesses shifted toward US dollars amid fears of devaluation, while…

ForexCarryFixed incomeRisk management
Quant Q&A

The document examines whether non-Gaussian stock returns can be transformed into a Gaussian series. It warns that forcing observations to match a normal quantile distribution can produce a normal-looking sample while distorting the data and removing…

EquitiesStatisticsVolatilityFactor investing
Quant Q&A

The post considers how to maintain a bearish view on Tesla while limiting the ongoing expense of a stock borrow over a potentially long holding period. The response explains that derivative prices generally reflect the costs associated with carrying the…

EquitiesOptionsUS marketsRisk management
Quant Q&A

The document asks for references explaining the Feller condition for the Cox–Ingersoll–Ross square-root diffusion, a model often used for interest rates. It points readers to treatments in Iain Clark’s Foreign Exchange Option Pricing and Andersen and…

Fixed incomeStatistics
Quant Q&A

The document asks whether an annualized Sharpe ratio can predict how often or how long a strategy will lose money, and whether a striking record of few losing days implies a particular Sharpe ratio. The responses distinguish average excess return relative to…

StatisticsRisk managementBacktesting