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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 note derives the Black–Scholes call delta by differentiating the call-price formula with respect to the current stock price. Applying the chain rule produces terms involving the normal density and the sensitivities of the two standardized variables. An…

OptionsDerivatives pricingStatistics
Quant Q&A

The note introduces the Heston stochastic volatility model, in which the stock price and its variance evolve together, with correlated shocks. It gives the risk-neutral characteristic function for log stock price and defines its component expressions. These…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

This explanation motivates common boundary conditions for pricing a European call under the Heston stochastic-volatility model. At maturity, the option equals its payoff; when the underlying price is zero, the call is worthless. As the underlying price…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document frames a Greeks estimation problem for a derivative paying the square root of the positive part of the difference between the terminal stock price and the strike. It assumes geometric Brownian motion and writes the terminal price distribution…

OptionsDerivatives pricingStatistics
Quant Q&A

The document sets up a comparison between two ways to price European calls under the Merton jump-diffusion model: the analytical Poisson-weighted Black–Scholes series and a numerical Carr–Madan Fourier inversion. It outlines the characteristic function, the…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document poses a pricing question for an American put on a non-dividend-paying stock. Its strike declines over time at the risk-free rate, and the stock is assumed to have constant volatility. This setup makes the contract different from a standard…

OptionsDerivatives pricingVolatility
Quant Q&A

The document introduces binomial trees as discrete-time, lattice-based models for option valuation. At each step, the underlying instrument is assumed to have two possible price moves, producing a branching set of possible paths through time. This structure…

OptionsDerivatives pricingStatistics
Quant Q&A

The document asks whether option implied volatility can reveal the probability that a stock will exceed a specified return threshold by a given expiry. It frames the question with an at-the-money option example and asks whether out-of-the-money options or…

OptionsVolatilityStatistics
Quant Q&A

The document explores whether probability distributions can be derived as solutions to differential equations, motivated by the Black–Scholes–Merton model. It questions whether dynamic hedging is best understood as a modeling assumption that leads to an…

OptionsDerivatives pricingStatistics
Quant Q&A

The document explains why traders may consider calendar spreads when implied volatility is low. It emphasizes that option combinations should be understood through their Greeks. A calendar can combine positive vega exposure with negative gamma exposure, so a…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document describes an attempted search for option combinations whose payoff would remain profitable across possible underlying prices. The original example combines short puts and calls with long options at other strikes, and the author asks whether the…

OptionsArbitrageDerivatives pricingExecution
Quant Q&A

This discussion outlines how a discrete binomial pricing relation can lead to the Black–Scholes partial differential equation as the time step becomes small. It starts from a one-period no-arbitrage equation for the option value, then substitutes…

Derivatives pricingOptionsStatistics
Quant Q&A

The document considers how to estimate portfolio risk when short call positions have only a brief pricing history, alongside bonds, currencies, and stocks. Its central recommendation is to model the risks that drive option values rather than extrapolating a…

OptionsVolatilityRisk managementDerivatives pricing
Quant Q&A

The document asks why an option’s sensitivity to total variance includes a factor of time. It defines total variance as volatility squared times time and refers to a Black–Scholes option value expressed as a function of spot price, strike, and total…

OptionsDerivatives pricingVolatility
Quant Q&A

The document examines why a European or American call option cannot be worth more than its underlying stock. The questioner attempts an arbitrage argument by buying the stock and writing a call, but incorrectly treats the stock’s terminal price gain as…

OptionsArbitrageDerivatives pricing
Quant Q&A

The document distinguishes volatility inputs for option Greeks according to the purpose of the calculation. Implied volatility is recommended when estimating the Greeks reflected in current market option prices, which are the market-implied Greeks traders…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document discusses estimating delta, vega, and rho for a basket option priced by simulating several domestic equity indices under local volatility, forward interest rates, and dividend yields. It recommends keeping the same random samples when…

OptionsDerivatives pricingRisk managementStatistics
Quant Q&A

The document explains the effect of remaining time on option value through uncertainty in the underlying price at expiry. For at-the-money and out-of-the-money options, more time can increase value because a larger range of outcomes creates more opportunity…

OptionsDerivatives pricingVolatility
Quant Q&A

The exchange explains how to value a future payoff equal to the stock price at time t minus a fixed cash amount. It separates the two components: the stock exposure is valued at its current market price, while the fixed payment due at time t is discounted to…

Derivatives pricingOptionsStatistics
Quant Q&A

The document explains why practical FX option pricing requires more than identifying a single current spot rate. It distinguishes the pricing date, premium value date, spot date, option expiry, and delivery date. These dates can differ because of settlement…

ForexOptionsDerivatives pricing
Quant Q&A

The document considers whether to fit an options implied-volatility smile using delta or moneyness as the independent variable. Its answer points to research modeling volatility with a quadratic polynomial in both moneyness and maturity. This produces a…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document compares option quote data with executed transactions as sources of information about implied volatility. Quotes show prices and volatility levels at which participants are willing to trade, including times when no opposing order arrives. Trades…

OptionsVolatilityMarket microstructure
Quant Q&A

The document addresses a step in the Cox–Ross–Rubinstein binomial model derivation for a European call. The option value is written as a discounted sum over terminal stock prices above the strike, then rearranged into two binomial tail sums: one weighted by…

OptionsDerivatives pricingStatistics
Quant Q&A

The document presents a student’s search for an introductory quantitative finance text that combines accessible finance context with meaningful mathematics and exercises. The student contrasts elementary books that move slowly with advanced stochastic…

Derivatives pricingStatisticsOptions