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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

8,116 documents

Quant Q&A

The document raises a numerical issue in Monte Carlo valuation of European calls and puts on the same stock. Under standard simulation, each option value is estimated by averaging its payoff over simulated underlying paths. With a finite sample, the…

OptionsDerivatives pricingStatisticsBacktesting
Quant Q&A

The document asks how to classify the direction of option trades using tick-level trade and quote data. The proposed workflow is to align trade records with contemporaneous call and put quote panels by option symbol and timestamp, then compare each trade…

OptionsMarket microstructureHigh-frequency tradingVolatility
Quant Q&A

The document explains why a vanilla option’s implied volatility is not, by itself, a reliable way to price a knock-out barrier option with a rebate. Market implied volatility is defined through the Black–Scholes formula for a vanilla contract. A volatility…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document surveys developments beyond the classic Black–Scholes and binomial option-pricing models. It describes extensions that add stochastic volatility, stochastic interest rates, credit risk, dividends, local volatility, jumps, or GARCH dynamics. It…

OptionsDerivatives pricingVolatilityMachine learning
Quant Q&A

The document asks how to calibrate a SABR volatility surface for S&P 500 index calls when the beta parameter is fixed in advance. The choice is between fitting alpha, rho, and nu separately for each expiration or fitting one parameter set across the full…

OptionsVolatilityDerivatives pricingUS markets
Quant Q&A

The response gives practical guidance for building an implied volatility curve when calls and puts with the same delta show different volatility estimates. It recommends averaging call and put implied volatilities for at-the-money options, while using…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document shows how to model a private equity clawback when the value relevant to limited partners consists of a risky net asset value component and a fixed amount of past distributions. It represents the net asset value as a geometric Brownian motion and…

OptionsDerivatives pricingVolatility
Quant Q&A

The document explains how no-arbitrage reasoning bounds the price and strike sensitivity of a vertical call spread. For strikes K1 < K2, the spread formed by buying the lower-strike call and selling the higher-strike call has a payoff between zero and K2 −…

OptionsDerivatives pricingArbitrage
Quant Q&A

The document raises questions about local volatility models used for equity derivatives. It asks why forward smiles under local volatility are said to become flatter and higher, whether the model’s calibration to an initial volatility surface makes its…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document derives the self-financing portfolio interpretation of a vanilla call when the stock is used as numeraire. Starting from a martingale representation for the call price divided by the stock, it applies Itô's formula to relate changes in the…

OptionsDerivatives pricingStatistics
Quant Q&A

The document considers buying a call and selling a higher-strike call below the spread’s theoretical value, then delta-hedging through expiry. One response says that under Black–Scholes dynamics, with the hedge using the true volatility, the initial pricing…

OptionsDerivatives pricingRisk management
Quant Q&A

The document poses a derivatives-pricing question: how to value a maturity payoff equal to the inverse of a non-dividend-paying stock price assumed to follow geometric Brownian motion. The proposed approach starts with the stock’s risk-neutral dynamics,…

OptionsDerivatives pricingEquities
Quant Q&A

The note addresses an apparent funding gap when rebalancing a short call hedge as time passes and the underlying price stays unchanged. Its answer uses the Black–Scholes pricing equation with zero interest and dividends, where theta offsets the gamma…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document asks how VIX futures can keep trading when a circuit breaker halts SPX options and prevents the VIX index from being calculated, especially if the halt overlaps the March contract’s valuation date. It raises the possibility of estimating…

FuturesOptionsVolatilityDerivatives pricing
Quant Q&A

The document collects book recommendations for an algorithmic trading programmer who wants to connect basic options theory with the language and practice of volatility trading. Recommendations include introductory treatments that emphasize intuitive option…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document explains why vanilla calls and puts can show the same asymmetric volga profile, with larger values for in-the-money calls and out-of-the-money puts. It uses the Black–Scholes expression for volga, which combines vega with a term based on d1 and…

OptionsVolatilityDerivatives pricingTechnical indicators
Quant Q&A

The document addresses which option maturities to use when replicating a variance swap whose observation period runs from the next day through a later end date. It says the option strip used for static replication should expire on the same date as the…

OptionsVolatilityDerivatives pricingExecution
Quant Q&A

The document asks whether the conditional expectation of a payoff process’s maximum over stopping times equals the Snell envelope, which takes the supremum of conditional expected payoffs. It highlights a key distinction: admissible stopping times depend…

OptionsStatistics
Quant Q&A

The discussion explains why adding the vegas of all options in a portfolio can misstate total volatility exposure. A simple sum assumes implied volatility moves in parallel across strikes and maturities, an assumption that may not hold when the volatility…

OptionsVolatilityRisk managementDerivatives pricing
Quant Q&A

The document introduces raw SVI, natural SVI, and SVI Jump-Wings parameterizations for a single implied-volatility slice, using log-moneyness and total implied variance. It then asks how these choices relate to direct volatility fitting, what maturity…

OptionsVolatilityDerivatives pricingArbitrage
Quant Q&A

The document considers a swap that receives three-month Libor plus a spread and pays a rate that depends on whether Libor is above a strike. The proposed simplification applies when Libor is fixed at the beginning of each three-month accrual period. Under…

Fixed incomeOptionsDerivatives pricing
Quant Q&A

The document asks whether the difference in delta between two options with otherwise identical Black model inputs can be represented by the delta of another option. Its answer gives a first-order approximation instead: treat the option price as a function of…

OptionsDerivatives pricingStatistics
Quant Q&A

The document explains why portfolio managers might buy calls or take long exposure to options on a volatility-target index. Such exposure can provide gains in turbulent markets, which may help offset losses in portfolios with a long equity bias when…

OptionsVolatilityRisk managementEquities
Quant Q&A

The document examines a Heston stochastic volatility implementation that uses Fourier integration to price a European call. It lays out the characteristic function’s Riccati solution, including alternative algebraic forms intended to handle complex…

OptionsDerivatives pricingStatistics