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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
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 relates Merton’s structural credit model to European option payoffs. It models company asset value as a geometric Brownian motion and treats equity at maturity as a call on firm value with debt face value as the strike. Risky debt is represented…

OptionsDerivatives pricingFixed incomeRisk management
Quant Q&A

The document explains the expiration profit and loss bounds for a collar, consisting of long stock, a long put, and a short call at a higher strike. At expiration, the call caps the position’s upside, while the put limits its downside. The stated maximum…

OptionsDerivatives pricingRisk management
Quant Q&A

The document considers an option that pays the difference between two stock prices at maturity only if the first stock stays above the second throughout the option’s life. It presents a model-free replication argument: hold one share of the first stock and…

OptionsDerivatives pricingArbitrage
Quant Q&A

The document examines how to interpret the stock and money-market components of a portfolio formed by holding a call and discounted cash equal to the strike. Under Black–Scholes assumptions, it combines the call price with the present value of the strike and…

OptionsDerivatives pricingPortfolio construction
Quant Q&A

The document works through the expiry payoff of a position that buys a put, sells a call at a higher strike, and buys another call at a still higher strike. Ignoring premiums, the long put produces gains below its strike, the position is flat between the put…

OptionsDerivatives pricingRisk management
Quant Q&A

The answer identifies a gas-fired power plant’s spark spread—the relationship between electricity revenue and the gas cost required to generate it—as a central exposure. It describes over-the-counter spread options as a way for a plant operator to hedge this…

CommoditiesFuturesOptionsRisk management
Quant Q&A

The document describes implied volatility as a way to represent option prices on a more interpretable and comparable scale. A pricing model maps a market option price to the volatility input that would reproduce that price, allowing traders to discuss an…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document explains the distinction between an option’s notional exposure and the price paid for the contract. Using the SPX example, the response applies a contract multiplier of 100 to the index level to calculate notional value, and applies the same…

OptionsDerivatives pricingUS markets
Quant Q&A

The document concerns hybrid models that combine Heston stochastic volatility with Hull–White interest rates. The question is how to approximate European option prices for model calibration, particularly when the pricing approach uses Monte Carlo simulation.…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document poses a modeling question about whether local volatility derived from an observed implied volatility surface reproduces that surface or changes its skew. It outlines a workflow: obtain market implied volatilities, fit a model such as SVI, use…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document examines why a derivative’s price should not depend on which other derivative is chosen to hedge volatility risk in a stochastic-volatility model. The proposed replication argument uses the underlying and a second derivative to span two Brownian…

Derivatives pricingOptionsRisk managementStatistics
Quant Q&A

The document explains a linear approximation for implied volatility in Emanuel Derman’s sticky implied tree model. The answer starts with local volatility modeled as a linear function of the underlying price, with slope determined by a parameter describing…

OptionsVolatilityDerivatives pricingTechnical indicators
Quant Q&A

The document considers how to recover the risk-neutral density of an underlying at a given expiry from call option implied volatilities across strikes. It describes converting each implied volatility into a Black–Scholes call price, then applying the…

OptionsDerivatives pricingVolatilityForex
Quant Q&A

The document asks why a project option valued with real-world probabilities and the project’s required return differs from a risk-neutral valuation. Its binomial example has a successful project value of $10 million, an unsuccessful value of $2.7 million, an…

OptionsDerivatives pricingStatistics
Quant Q&A

The document examines a security paying one dollar if IBM reaches a specified price, with the stock initially below that level and no dividends or transaction costs. It contrasts a risk-neutral probability argument, which would imply a payoff value of one…

EquitiesOptionsDerivatives pricing
Quant Q&A

The document contrasts a funded equity collar with a margin loan used to build a stock position. In the collar, the client buys a put and sells a call to a bank; the bank may hedge its resulting exposure by borrowing and selling shares. A margin loan instead…

EquitiesOptionsRisk managementDerivatives pricing
Quant Q&A

The document discusses a binomial no-arbitrage argument for pricing an option. A portfolio holds one option and shorts a quantity of the underlying chosen to offset the difference between the option values in the up and down states. If that hedge makes the…

OptionsDerivatives pricingStatistics
Quant Q&A

The example considers a position short August puts, long August calls at a higher strike, and short futures. Its initial net delta, gamma, and vega are reported as slightly negative or close to zero. The question asks why the answer key says all three become…

OptionsFuturesDerivatives pricing
Quant Q&A

The question asks how to sketch second-order Greek profiles for a European vanilla payoff, such as a butterfly, without computing a full profile. It is concerned with how Greeks vary as spot or volatility changes, including vanna, vomma, and the changes in…

OptionsDerivatives pricingVolatility
Quant Q&A

The document examines the difference between an approximate daily P&L formula for a delta-hedged option and P&L calculated from changes in option and stock values. One response explains that the gamma-and-volatility expression gives an average P&L, so it…

OptionsVolatilityRisk management
Quant Q&A

The document asks why a study of a two-factor Double Heston model calibrates against option-market observations from many Wednesdays across a year, rather than conducting a separate calibration for each date. It contrasts that setup with research using…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document examines a static hedge for two short calls with the same strike but different expirations, using one call whose expiration falls between theirs. The example shows that matching total notional does not keep the hedge balanced over time: the…

OptionsDerivatives pricingRisk management
Quant Q&A

The document describes how to estimate a foreign-exchange risk-neutral density from vanilla option data, in the context of comparing the distribution for GBP/EUR around two historical dates. The required inputs include option prices across strikes and…

ForexOptionsVolatilityDerivatives pricing
Quant Q&A

The document connects the fundamental theorem of asset pricing to a one-period binomial tree. Choose the probability of an up move so that the stock price discounted by the bond is a martingale under the resulting measure. Solving this condition gives the…

OptionsDerivatives pricingStatistics