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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 examines why a basic Black–Scholes calculation may produce theoretical call prices outside observed bid–ask quotes. It points out that the example omits the continuous dividend yield in the pricing formula, but argues that correcting this alone…

OptionsEquitiesDerivatives pricingVolatility
Quant Q&A

The document outlines checks for whether a SABR-fitted option surface is free of static arbitrage. For a fixed maturity, it proposes deriving the risk-neutral density from the second strike derivative of call prices, then checking that the density is…

OptionsDerivatives pricingVolatilityArbitrage
Quant Q&A

The document explores how to represent variance swap exposure using options. It starts from the risk neutral replication identity linking expected squared returns to a log contract and a continuum of calls and puts weighted by inverse strike squared. The…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document considers Monte Carlo evaluation of conditional expectations involving an integrated Jacobi volatility process, as part of a real-options research problem. The process is bounded, but the questioner worries that Euler discretization may…

OptionsVolatilityStatisticsBacktesting
Quant Q&A

The document addresses the apparent paradox of a digital call's delta growing without bound as expiration approaches the strike. A payoff capped at one unit may seem unable to have a price sensitivity greater than that amount, but delta measures a local…

OptionsDerivatives pricingVolatility
Quant Q&A

The document introduces replication of common option strategies, including vertical spreads, butterflies, straddles, and strangles. Its central idea is to build a target payoff by combining simpler instruments, particularly zero-coupon bonds and European…

OptionsDerivatives pricing
Quant Q&A

The document asks how a positively skewed stock-price distribution affects Black–Scholes–Merton option valuations across strikes. It includes two brief responses: one links right-skewed outcomes to greater probability of high terminal prices and a higher…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document considers how to calculate option deltas across strikes when implied volatility varies with strike. It frames the key issue as selecting the implied volatility input to Black–Scholes when the volatility surface is skewed, especially for hedging…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document addresses the intuition behind the Black-Scholes call price as volatility grows without bound. An accepted explanation states that the call approaches the discounted value of the underlying forward, which is the spot price when dividends and…

OptionsDerivatives pricingVolatility
Quant Q&A

The document corrects a claim about the delta of a down-and-out call as the underlying approaches its lower barrier. It explains that delta generally falls toward zero near the barrier, since reaching the barrier knocks out the option. For options close to…

OptionsDerivatives pricingVolatility
Quant Q&A

The document sets out the risk-neutral Heston dynamics for an asset price and its stochastic variance, then asks how to value a European put by discounting its terminal payoff. The author is interested in transforming the put valuation into a form related to…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document explains that leverage can describe an investment financed partly with borrowed money. Its example compares buying an option entirely with personal funds against financing half the premium with debt. The borrowed portion increases the return on…

OptionsDerivatives pricingRisk managementPosition sizing
Quant Q&A

The document explores how strike selection and time to expiration affect the cost and payoff profile of long options. It considers the intuition that out-of-the-money options cost less and can deliver a larger percentage gain if the underlying moves…

OptionsVolatilityDerivatives pricing
Quant Q&A

This exchange clarifies a local relationship between normal and lognormal implied volatility when both models are used to represent the same option prices. The question presents a conversion factor involving the forward or spot level and moneyness, then asks…

OptionsVolatilityDerivatives pricingFixed income
Quant Q&A

This explanation examines why the CBOE dispersion index construction uses a market-cap-weighted sum of constituent variances, even though portfolio variance normally depends quadratically on weights and includes correlations. It defines dispersion as the…

EquitiesOptionsVolatilityStatistics
Quant Q&A

This exchange explains a sign error in valuing a floorlet with the Bachelier normal model. The question uses the call-style payoff expression with the forward rate above the strike, producing a premium far larger than the Bloomberg value. The accepted answer…

Fixed incomeOptionsDerivatives pricingVolatility
Quant Q&A

The exchange explains why a power function of the underlying price is a useful trial solution for the differential equation governing a perpetual American put outside its exercise region. The price-scaled derivative terms preserve powers: applying the first-…

OptionsDerivatives pricingStatistics
Quant Q&A

The document asks how to explain the vega of an exotic derivative when its volatility surface is represented with Gatheral’s SVI parameterization. It proposes examining changes in each SVI parameter across time slices and approximating the resulting change…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document introduces the distinction between implied and local volatility through a learner’s interpretation of option prices and diffusion models. Implied volatility maps strike and maturity to the volatility that reproduces a market option price under…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document examines whether buying an underlying asset while also buying a put creates an arbitrage opportunity. The response describes the expiration payoff: the protective put limits losses below the put strike, while gains accrue when the underlying…

OptionsArbitrageDerivatives pricing
Quant Q&A

The document asks when finite element methods (FEM) are preferable to finite difference methods (FDM) for pricing derivatives. It contrasts FEM’s potential strengths in handling complicated boundaries, weak solutions of partial differential equations, and…

Derivatives pricingOptionsStatistics
Quant Q&A

The document shows how to price a European option with payoff equal to the positive part of the underlying raised to a constant power, less the strike. Under Black–Scholes, the underlying follows geometric Brownian motion. Applying Itô’s lemma to its power…

OptionsDerivatives pricingVolatility
Quant Q&A

The document derives how a call option’s price changes as its strike changes. Starting from the risk-neutral expected payoff, it writes the option value as a discounted integral over terminal underlying prices above the strike. Differentiating that…

OptionsDerivatives pricingStatistics
Quant Q&A

The document examines a deep out-of-the-money call whose quoted market price implies far more volatility than the data provider reports. Recalculating implied volatility with an American-option model gives a value in the vicinity of 150%, while the provider…

OptionsVolatilityDerivatives pricing