Skip to content

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
WonderTrader
14 documents
Alphalens
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

12,303 documents

Quant Q&A

The document explains why options on the same underlying can imply different volatilities across strikes even though the Black-Scholes model assumes constant volatility. It presents several interpretations: the smile can reflect model misspecification,…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document explains why foreign exchange option data may arrive as volatility quotes and delta-based smile points rather than as a ready-made table of implied volatilities by strike and maturity. In much of the over-the-counter market, options are quoted…

ForexOptionsVolatilityDerivatives pricing
Quant Q&A

The document discusses the arbitrage-free valuation of a claim paying a power of the terminal stock price in the standard Black–Scholes model. The questioner applies Itô’s lemma first to the power process and then to its logarithm, but obtains an exponent…

OptionsDerivatives pricingVolatility
Quant Q&A

The document explains how to interpret a VaR limit specified over a fraction of a year and convert the volatility implied over that horizon into annualized volatility. For a horizon represented as one of m equal yearly intervals, first identify the VaR…

Risk managementStatisticsVolatility
Quant Q&A

The document asks whether a European call is worth more when volatility is random with a given mean than when volatility is fixed at that mean. It introduces Jensen’s inequality as the key tool: if the option price is a convex function of volatility, then…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document investigates the integrated value of a call option across maturities, defined as the time integral of its price, and asks why its leverage ratio becomes hump-shaped near the at-the-money spot level under low initial variance in the Heston model.…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document asks for the mean and variance of a mean-reverting process whose noise is proportional to the state. The answers first present an explicit-solution expression and moment formulas, but a later response flags that expression as incorrect and gives…

StatisticsVolatility
Quant Q&A

This exchange considers how the Avellaneda–Stoikov reservation price responds to a stock's price scale and an inventory measured in shares. The question compares a stock before and after a large share consolidation, where the share price and volatility per…

EquitiesMarket makingMarket microstructureVolatility
Quant Q&A

This discussion explains how to estimate annualized volatility from a sequence of weekly stock prices. The method is to calculate consecutive log returns, find their sample standard deviation to estimate weekly volatility, then scale it by the square root of…

EquitiesVolatilityStatistics
Quant Q&A

The document asks how to implement time-shifted power-law kernels used in a path-dependent volatility model. The model forms volatility from a baseline plus weighted past returns and weighted squared returns. Separate kernels assign the lag-dependent weights…

VolatilityStatisticsMachine learningDerivatives pricing
Quant Q&A

The discussion explains how a local-volatility model relates an implied-volatility surface to an instantaneous volatility function of spot and time. Its central clarification is that local volatility is calibrated from the current implied surface; if that…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document frames a one-month portfolio problem involving cash, a stock, and a six-month European put. Returns are evaluated under the physical measure, but the option’s future market value depends on risk-neutral pricing. The author explains why valuing…

OptionsPortfolio constructionDerivatives pricingVolatility
Quant Q&A

The document concerns Greeks for the Bachelier model, which assumes normally distributed price changes. The author says delta, vega, and gamma are straightforward to derive, then focuses on deriving rho and theta when the interest rate is nonzero. They…

OptionsDerivatives pricingVolatility
Quant Q&A

The document explains how the Stochastic Volatility Inspired (SVI) parameterization can represent implied total variance across option strikes. Its formula describes a smile using five parameters: a level, slope scale, skew, horizontal shift, and curvature…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document discusses adding an explicit high- or low-volatility regime to a Fama–French regression for a stock portfolio. The proposed research question is whether a manager’s factor exposures differ by regime, such as favoring quality during high…

Factor investingVolatilityStatisticsEquities
Quant Q&A

The document addresses how option vega relates to gamma and explains a formula attributed to Nassim Taleb’s Dynamic Hedging. Under Black–Scholes, gamma is expressed using the asset price, volatility, time to expiration, and the normal density at d1; vega…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document derives the conditional variance of a price process that changes through Poisson-timed jumps with independent, lognormally distributed multipliers. It first expresses the price at the horizon as its current value multiplied by all jump factors…

StatisticsVolatilityDerivatives pricing
Quant Q&A

The document examines an interpolation rule for a Wiener process whose volatility is piecewise constant between known endpoint values. The proposed rule scales the endpoint increment by the square root of a ratio involving accumulated variance terms. The…

StatisticsVolatilityDerivatives pricing
Quant Q&A

The document asks why an FX 25-delta butterfly is commonly expressed using the average of 25-delta call and put volatilities adjusted by the at-the-money straddle volatility. It also asks what the 25-delta label means in this construction, placing the focus…

ForexOptionsVolatilityDerivatives pricing
Quant Q&A

The document asks how to build a function that returns implied FX volatility for an arbitrary strike and maturity from quoted market points. The available inputs are 10-delta and 25-delta put and call volatilities, along with zero-delta straddle or…

ForexVolatilityDerivatives pricingStatistics
Quant Q&A

The document explains how to construct a forward swap rate from discount factors or forward Libor rates, then connect it to swaption valuation. It derives the swap rate as the ratio of the swap’s floating-leg value to its fixed-leg annuity. Given Libor…

Fixed incomeOptionsDerivatives pricingVolatility
Quant Q&A

The document outlines pricing approaches for derivatives with general payoff functions under European, American, and perpetual exercise rules. For European claims, it gives the risk-neutral discounted expected payoff and explains that a specified underlying…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document describes a Monte Carlo setup for studying the profit and loss of a long out-of-the-money call that is delta hedged over time. The option is purchased using the volatility assumed at inception, while simulated underlying price paths reflect the…

OptionsVolatilityDerivatives pricingBacktesting