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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 considers why a local volatility model for an exotic option may be calibrated to a broad implied volatility surface when hedging in practice uses only a limited set of options. It connects the local volatility construction to prices across…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document asks whether a stock forecast based on real-world return probabilities can support decisions among owning shares, buying protective puts, or substituting calls, and what risk-neutral pricing adds. Its proposed real-world model extrapolates…

OptionsEquitiesStatisticsPortfolio construction
Quant Q&A

The document explains how to use a volatility surface quoted by delta to price an option on a futures contract. For a given option strike, first find the implied volatility associated with that strike: when the surface is quoted by delta, solve for the…

OptionsFuturesCommoditiesDerivatives pricing
Quant Q&A

The document explains that VIX9D applies the VIX methodology to S&P 500 options whose expirations bracket a nine-day horizon. The calculation uses two option maturities, derives implied volatility for each using the standard VIX procedure, and interpolates…

OptionsVolatilityDerivatives pricingUS markets
Quant Q&A

The note offers a probability-based intuition for why options far from the strike can have little time or extrinsic value, including calls that are deeply in the money. It frames time value around the chance that the underlying crosses the strike before…

OptionsDerivatives pricingVolatility
Quant Q&A

The note explains why two expressions for a European call’s delta agree when the cost of carry is defined as the risk-free rate minus the dividend yield. The risk-free rate is a cost of holding the asset because that capital could earn interest elsewhere,…

OptionsDerivatives pricingCarry
Quant Q&A

The document discusses why an implied volatility smile may reach its minimum at strikes above the current spot price. For equity indices, it identifies demand from call overwriting as a possible flow-based explanation: investors sell upside calls to earn…

OptionsVolatilityEquitiesMarket microstructure
Quant Q&A

The document examines the gamma-weighted P&L of a delta-hedged option. Its expression weights the difference between realized and implied variance by dollar gamma over time, raising the question of whether a lower average realized volatility than the initial…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document asks whether a variance swap can be replicated explicitly with vanilla options under the Black–Scholes model when both the risk-free rate and dividend yield are nonzero. It contrasts this request with a familiar replication formula derived for…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document asks whether stock and vanilla option positions can create a synthetic long single-stock future when short puts must be fully cash-secured. It considers buying the stock and writing a put as a possible substitute, while noting the familiar…

EquitiesOptionsFuturesDerivatives pricing
Quant Q&A

The discussion offers two rough ways to assess whether a convertible bond may be inexpensive. One is to compare its market price with the value of a comparable straight bond, which isolates the premium paid for the embedded conversion feature. The premium is…

Fixed incomeOptionsDerivatives pricing
Quant Q&A

This note explains why higher interest rates can raise call values and lower put values, even when rate increases may coincide with falling stock prices. It gives the Black–Scholes sensitivity to the risk-free rate: call rho is positive, while put rho is…

OptionsDerivatives pricingVolatility
Quant Q&A

The document describes simulating jump increments from Kou’s asymmetric double-exponential model. Its proposed procedure draws a Poisson number of jumps, splits them into upward and downward counts with a binomial draw, then models the total jump size on…

StatisticsDerivatives pricingOptionsBacktesting
Quant Q&A

The document addresses how to derive forward-price dynamics when both the underlying asset and interest rates are stochastic. One response applies Itô’s lemma to a function of time, spot price, and rate, including the rate’s variance and the covariance…

Derivatives pricingOptionsFixed incomeStatistics
Quant Q&A

The document explains why option rho is generally positive for calls and negative for puts as interest rates rise. It connects call sensitivity to put-call parity: a call can be viewed as a synthetic combination that includes exposure to the underlying and a…

OptionsDerivatives pricingVolatilityFixed income
Quant Q&A

The document discusses why short-dated implied volatility often reacts more visibly to near-term events than long-dated implied volatility. Longer expiries average expected variance over more time, which can dilute the effect of a temporary volatility shock.…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document compares two proposed ways to price a Margrabe option on two correlated assets in a Black–Scholes setting. The first changes numeraire to express the payoff using the asset used as numeraire; under that measure, the relative asset price has…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document distinguishes realized volatility, which is estimated from observed underlying prices, from implied volatility, which is inferred by reversing an option-pricing model using a market option price. A model requires a volatility input to produce a…

OptionsVolatilityDerivatives pricingMarket microstructure
Quant Q&A

The document derives the limiting early-exercise boundary for an American put as expiration approaches. It compares immediate exercise, which pays intrinsic value, with waiting for a short interval and then receiving the expected payoff under risk-neutral…

OptionsDerivatives pricing
Quant Q&A

The document considers a call payoff based on the terminal underlying price minus the average price observed over an earlier period ending at time τ. This is described as an Asian strike call, with the averaging window allowed to end before the option…

OptionsDerivatives pricing
Quant Q&A

The document addresses why converting smile data from implied volatilities into Black model option prices does not produce a curve with the same visual shape. Its answer explains that when puts are converted to equivalent calls using put-call parity, call…

OptionsDerivatives pricingVolatility
Quant Q&A

The document asks whether cubic spline interpolation across swaption strikes guarantees an arbitrage-free implied volatility smile, and how that approach differs from a stochastic model. The answer says ordinary spline routines do not impose the necessary…

OptionsVolatilityArbitrage
Quant Q&A

The document asks whether European options under GARCH volatility require simulating the full sequence of stock prices and variances, or whether forecast average volatility can be inserted into a geometric Brownian motion solution. The response explains that…

OptionsVolatilityDerivatives pricingMachine learning
Quant Q&A

The document distinguishes the probability assumptions used in derivatives pricing from those used to forecast outcomes and manage risk. Under the risk-neutral measure, simulations support option valuation and the calculation of sensitivities used in…

Derivatives pricingRisk managementOptionsStatistics