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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
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

8,116 documents

Quant Q&A

The document asks how to set geometric Brownian motion inputs when simulating asset paths to price exotic options under a risk-neutral measure. It distinguishes pricing inputs from estimates drawn directly from historical price data. Its central guidance is…

OptionsDerivatives pricingVolatility
Quant Q&A

The document explains why an option’s implied volatility can move even when that contract has no trading volume. Implied volatility is inferred from a quoted or traded option price, so market makers can revise an option’s bid and ask as their assumptions or…

OptionsVolatilityMarket microstructureDerivatives pricing
Quant Q&A

The document asks how to interpret the rho parameter in the Surface SVI formula when the model is used to fit implied volatility. It notes two descriptions found in papers: rho is proportional to the implied-volatility smile's slope near at-the-money, and…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document poses a finite-state pricing question. It gives prices and payoffs across three possible states for three existing assets, then introduces a fourth asset whose payoff is zero in two states and positive in the third. The question asks how to…

Derivatives pricingOptionsStatistics
Quant Q&A

The document asks how to interpret the time scale of a variance quantity computed from a local volatility formula, using the relationship between variance, volatility, and elapsed time. It wonders whether a value associated with a six-month horizon should be…

VolatilityDerivatives pricingOptions
Quant Q&A

The discussion considers whether higher implied volatility for out-of-the-money calls and puts points to a particular options spread. It describes this pattern as a volatility smile and reasons within a Black–Scholes comparison: because option vega is…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document describes common practical approaches to pricing European options. In liquid markets, practitioners often represent a vanilla option’s price through its forward price and Black-Scholes implied volatility for the relevant maturity and strike.…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document discusses how to allocate assets for an institutional portfolio whose purpose is to meet pension liabilities. It distinguishes liability-driven investing from benchmark-driven investing and recommends first establishing the client’s objectives,…

Multi-assetFixed incomeOptionsPortfolio construction
Quant Q&A

The document addresses why simulating a stock price over one year in one step may appear to produce different variation from simulating twelve successive monthly steps. Under geometric Brownian motion, each interval applies the same drift and volatility…

EquitiesOptionsStatisticsDerivatives pricing
Quant Q&A

The discussion considers how to account for convexity when bootstrapping a SOFR curve with futures and swaps. It distinguishes the task of calibrating to American options on SOFR futures from estimating futures convexity, and outlines approaches proposed by…

FuturesOptionsFixed incomeDerivatives pricing
Quant Q&A

The document explains risk-neutral valuation as a pricing framework tied to replication and no-arbitrage assumptions. When a derivative payoff can be replicated, its market price corresponds to the cost of the replicating portfolio. A risk-neutral…

Derivatives pricingOptionsRisk managementStatistics
Quant Q&A

The document asks how volatility quants describe the shape of an equity options implied volatility skew using statistics beyond basic distribution summaries. It groups candidate features into level, represented by at-the-money implied volatility; skew,…

OptionsVolatilityStatisticsDerivatives pricing
Quant Q&A

The document considers a perpetual binary claim that pays one dollar when a stock first reaches an upper barrier. It challenges the idea that the claim must be worth one dollar merely because a random-walk stock may eventually reach the barrier. With spot at…

OptionsDerivatives pricingEquities
Quant Q&A

The document considers numerical valuation of American options when the underlying model has multiple sources of randomness, such as stochastic volatility. One response argues that lattice methods can remain preferable to least-squares Monte Carlo (LSMC)…

OptionsDerivatives pricingVolatilityBacktesting
Quant Q&A

The document explains why pricing a portfolio of swaptions by simulating several forward rates independently can be inconsistent. In the example, a swap rate depends on multiple forward rates, while under the relevant forward measure only one rate can retain…

Fixed incomeOptionsDerivatives pricingStatistics
Quant Q&A

The document clarifies how sticky strike, sticky moneyness, and sticky delta describe implied volatility changes when the underlying spot moves. Sticky strike holds implied volatility fixed at an absolute strike. Sticky moneyness instead holds it fixed at a…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document discusses how a sell-side desk may hedge interest rate caps and floors without managing every caplet as a separate position. Its central practical point is that trades with similar risk are combined in a portfolio book, and the desk hedges the…

Fixed incomeOptionsDerivatives pricingRisk management
Quant Q&A

The document explains how forward premium enters currency option pricing and clarifies the role of overnight indexed swaps. In the Garman–Kohlhagen formulation, the domestic-minus-foreign interest rate differential determines the forward exchange rate…

ForexOptionsDerivatives pricingFixed income
Quant Q&A

The document explains how to construct put-option value curves at different times by repricing the option across a range of underlying spot prices. Under the stated assumptions of European exercise and no dividend or early-exercise concern, the Black-Scholes…

OptionsDerivatives pricingBacktesting
Quant Q&A

The document addresses how to configure a barrier option whose barrier is active only during a specified portion of the option's life. The accepted response points to QuantLib-Python's partial-time barrier option class, which is intended for windowed…

OptionsDerivatives pricing
Quant Q&A

The document presents Fourier integral representations for European vanilla call pricing under the Heston stochastic-volatility model. One representation expresses the call through two probability terms whose characteristic functions depend on the current…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The note explains the issuer’s equity and funding exposure in an up-and-out autocall, framed through changes in the product’s expected duration. It assumes the buyer is short a put at maturity and defines funding as the market equity-funding component of the…

EquitiesOptionsDerivatives pricingRisk management
Quant Q&A

The document derives a conditional option value when a stock price is correlated with a stochastic discount factor built from an additional diffusion process. The discount factor’s log is expressed as a linear function of a Gaussian stochastic integral. Its…

OptionsDerivatives pricingStatistics
Quant Q&A

The document addresses how stochastic volatility affects pricing of exotic options, including barrier and Asian contracts, and points to numerical methods as the central practical challenge. It identifies Monte Carlo simulation as a common approach: simulate…

OptionsVolatilityDerivatives pricingStatistics