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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
Quantpedia
86 documents
TqSdk
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 describes a proposed Monte Carlo approach to valuing a leveraged down-and-out call under geometric Brownian motion. The contract sketch has the buyer contribute part of the asset price while financing the remainder, pay interest on that…

OptionsDerivatives pricingBacktestingRisk management
Quant Q&A

The document addresses how an at-the-money call and a short at-the-money put with the same underlying and expiry relate to a futures position. Its answer states that one call paired with one put creates one synthetic long futures position. This establishes…

OptionsFuturesDerivatives pricing
Quant Q&A

The document explains an arbitrage test for call options sharing an expiry. Call prices should be convex as a function of strike, so the price at a midpoint strike cannot exceed the average of the prices at two equally spaced outer strikes. The example…

OptionsArbitrageDerivatives pricing
Quant Q&A

The document asks how to move from FX vanilla and barrier option quotes to a local volatility model. The author describes fitting smiles at quoted maturities with Vanna–Volga, then interpolating total variance across maturities using a flat-forward approach.…

ForexOptionsVolatilityDerivatives pricing
Quant Q&A

The document explains the role of gamma when replicating a protective put by adjusting positions in the underlying asset. Under idealized continuous hedging with no transaction costs, delta hedging can replicate the option payoff, so gamma does not create a…

OptionsDerivatives pricingRisk managementExecution
Quant Q&A

The document explains implied volatility as the volatility input that makes a Black–Scholes option price match an observed market price. Under Black–Scholes assumptions, the underlying follows geometric Brownian motion with constant volatility, so the model…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document proposes choosing a European call strike by comparing its premium with the payoff at expiration, then asks whether historical price data can help select the strike that maximizes profit. It attempts to replace the uncertain call payoff with a…

OptionsDerivatives pricingStatisticsRisk management
Quant Q&A

The document discusses ways to obtain a stock’s options chain, including multiple expiries, and make the data usable in Excel without manually copying each entry. One response points to a commercial source of historical options data supplied in CSV format,…

OptionsEquitiesExecution
Quant Q&A

The post examines a formula from a paper on European option pricing that expresses instantaneous mean drift using a call’s vega, delta, and gamma. The author compares the formula with current option prices and finds negative estimates, despite reading the…

OptionsDerivatives pricingVolatility
Quant Q&A

The document considers a proposed options relative-value trade: buy gamma on one underlying and sell gamma on a correlated underlying whose same-moneyness call has higher implied volatility. It describes the setup using a return beta, an implied-volatility…

OptionsVolatilityArbitrageRisk management
Quant Q&A

This argument derives an asymptotic upper bound on Black–Scholes implied variance for calls with increasingly large strikes. It assumes a fixed maturity and that the underlying's terminal price has a finite second moment under the risk-neutral measure. A…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document shows that a European call payoff can be represented as a long asset-or-nothing digital call combined with a short cash-or-nothing digital call, with both components expiring at the same time. When the underlying finishes above the strike, the…

OptionsDerivatives pricing
Quant Q&A

The document introduces an American derivative exercisable at discrete times and states three properties of its price process: its value is at least its immediate exercise payoff (and zero), its discounted value is a supermartingale, and any other process…

OptionsDerivatives pricingStatistics
Quant Q&A

The document considers whether the Central Limit Theorem makes normal-return assumptions unnecessary in Black–Scholes–Merton option pricing. It shows how asset prices compound through simple returns and how log prices sum log returns. Under suitable…

OptionsStatisticsVolatilityDerivatives pricing
Quant Q&A

This short exchange considers books for an engineer who has strong mathematics and statistics skills and wants rigorous option-pricing material without extensive pure-mathematics terminology. The responses recommend several texts with different levels of…

OptionsDerivatives pricing
Quant Q&A

The document examines three quoted European call prices with the same underlying and strike but different maturities. The longest-dated call is quoted below the nine-month call, prompting a request for an explicit arbitrage argument. The accepted response…

OptionsArbitrageDerivatives pricing
Quant Q&A

The document considers the time-t price of a claim paying the integral of a stock price over a fixed horizon under the Black–Scholes model. The questioner expands the risk-neutral expectation using the stock’s geometric Brownian motion and asks whether the…

Derivatives pricingOptionsStatistics
Quant Q&A

The document considers Monte Carlo valuation of a forward-start call under the Heston stochastic volatility model. Its payoff depends on the ratio of the asset price at the later date to its price at the reset date, so the strike is effectively set by the…

OptionsDerivatives pricingVolatilityBacktesting
Quant Q&A

The document distinguishes two related pricing equations. The Black–Scholes or local volatility PDE values one option with a fixed strike and maturity as time and the underlying price vary. The Dupire forward PDE instead describes vanilla option prices…

Derivatives pricingOptionsVolatility
Quant Q&A

The document explains why option implied volatility, especially for stock indexes, often exceeds the volatility later observed in returns. It frames this gap as a volatility risk premium and considers whether selling at-the-money straddles can capture it.…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document considers how to value an option whose underlying is a listed company’s earnings. One proposed framework simulates share price with geometric Brownian motion and the price-to-earnings ratio with a mean-reverting process, then derives earnings…

OptionsEquitiesDerivatives pricingStatistics
Quant Q&A

The document compares variance swaps with volatility swaps, focusing on replication, convexity, and market practice. Variance is described as the more directly replicable quantity: a portfolio of options across strikes can replicate variance exposure, while…

OptionsVolatilityDerivatives pricingMarket microstructure
Quant Q&A

The document raises a question about approximating option sensitivities, using rho under the Black–Scholes partial differential equation as a proof of concept. The author proposes differentiating the PDE with respect to the interest rate to obtain an…

OptionsDerivatives pricingStatistics