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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 considers a European call that the holder may sell back to its writer at its Black–Scholes value before a specified time. At that time, the writer imposes a fee by reducing the holder's option value by a percentage. The question asks whether the…

OptionsDerivatives pricingRisk management
Quant Q&A

The document investigates why QuantLib can return different European option prices when using a forward volatility surface with a Black process versus a Black–Scholes–Merton process or a flat volatility curve. Although the queried implied volatilities can…

OptionsDerivatives pricingVolatility
Quant Q&A

The document examines whether a straddle, strangle, iron condor, or other collection of options on one underlying can be assigned a single implied volatility. Implied volatility depends on a chosen pricing model and the market price of the payoff. Where the…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document asks whether the VVIX, which measures volatility of the VIX, can be tracked through tradable instruments despite having no directly tradable index, futures, or options. It presents two replication perspectives: variance exposure can be…

OptionsVolatilityDerivatives pricing
Quant Q&A

The discussion examines why Pearson correlation between two correlated geometric Brownian motion price processes can move toward zero over time, even when the underlying Brownian shocks are highly correlated. The explanation is that Pearson correlation is…

StatisticsOptionsDerivatives pricingVolatility
Quant Q&A

This brief explanation answers whether adding a holding in the underlying asset changes the gamma of a portfolio containing options. It defines portfolio gamma as the second derivative of the portfolio’s value with respect to the underlying price. A position…

OptionsDerivatives pricingRisk management
Quant Q&A

The discussion asks whether Black–Scholes models are weakened by representing only a few risky assets. It explains that pricing a portfolio of options on different underlyings together can require their correlations: a basket option generally has a different…

OptionsDerivatives pricingVolatilityPortfolio construction
Quant Q&A

The document asks how to calculate the Black-Scholes delta of a knock-in or knock-out barrier option. It lists the inputs the questioner has available, including barrier and strike levels, spot price, time to expiry, option type, implied volatility, and the…

OptionsDerivatives pricing
Quant Q&A

The document asks whether OTC derivatives markets use standard moneyness buckets, such as percentage ranges around the underlying price, and whether suitable bands vary by asset class. It also asks whether bucketed activity can serve as a proxy for changes…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document poses a pricing problem for a call whose terminal strike depends on the average stock price over a future interval. The average is a continuous-time arithmetic average, and the strike is formed by scaling that average before applying lower and…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document compares Sobol quasi-random sequences with ordinary pseudo-random sampling for Monte Carlo pricing of path-dependent options. It recommends pairing Sobol points with Brownian bridge path construction, which reduces effective dimensionality by…

OptionsDerivatives pricingStatisticsBacktesting
Quant Q&A

The document outlines a way to derive the European call lower bound directly from the Black–Scholes formula, without relying on put–call parity. Hold the spot price, strike, interest rate, and maturity fixed, and view the call price as a function of…

OptionsDerivatives pricingVolatility
Quant Q&A

The document asks how to judge whether buying calls can be profitable when a trader has estimates for the probability and size of short-term stock moves. It frames the problem in terms of expected gains and losses, noting that a high win rate alone may not…

OptionsDerivatives pricingRisk management
Quant Q&A

The document asks how to adapt the Carr–Madan Fourier transform method for European call options when the initial asset price is not normalized to one. It presents the damped Fourier pricing integral and its characteristic-function term, then describes…

OptionsDerivatives pricingStatistics
Quant Q&A

The document clarifies how a call option’s delta determines the hedge for a written position. Delta approximates how much the option price changes for a small change in the underlying stock price. In the example, the option price rises by about $0.60 when…

OptionsDerivatives pricingRisk management
Quant Q&A

The document compares a portfolio consisting of a call minus a put with a position in the underlying asset financed by a discounted strike payment. If the options share a strike and maturity, their terminal payoff matches the financed underlying position.…

OptionsArbitrageDerivatives pricing
Quant Q&A

The document discusses how to infer caplet volatilities from normal volatility quotes for caps on compounded, backward-looking overnight rates. It distinguishes an expiry adjustment used when transferring assumptions from forward-looking LIBOR caplets—where…

OptionsFixed incomeVolatilityDerivatives pricing
Quant Q&A

The document asks why an integration-by-parts boundary term vanishes when deriving Dupire’s local volatility formula from European call prices. The proposed explanation is that the transition density of the terminal stock price tends to zero as the price…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document explores how Black–Scholes delta hedging relates to option gamma, time decay, and the risk-neutral pricing argument. The questioner begins with the idea that an infinitesimally delta-hedged portfolio is locally risk-free and should grow at the…

OptionsDerivatives pricingVolatilityRisk management
Quant Q&A

The document asks whether raw SVI parameters must be calibrated separately for each option expiry or whether one parameterization can describe the full implied volatility surface. Raw SVI fits total implied variance on each log-moneyness slice with five…

OptionsVolatilityDerivatives pricingArbitrage
Quant Q&A

The discussion explains why FX forwards may depart from the relationship implied by two quoted money-market rates. In practice, banks cannot necessarily borrow and lend independently at those rates; they often transact through the currency basis swap market.…

ForexOptionsDerivatives pricingFixed income
Quant Q&A

The discussion explains why an American put is modeled with different conditions in its exercise and continuation regions. The holder chooses an exercise time to maximize expected discounted payoff, so the valuation is an optimal stopping problem. The option…

OptionsDerivatives pricingRisk management
Quant Q&A

The discussion examines a delta-hedged, initially gamma-neutral options risk reversal intended to benefit when realized spot-volatility behavior differs from implied skew dynamics. Its P&L is separated into skew-related, vega, and model-marking effects. The…

OptionsVolatilityBacktestingRisk management
Quant Q&A

The discussion examines whether buying out-of-the-money puts and then shorting stock, or buying calls and then purchasing stock, could move prices enough to make the options profitable. Its main explanation is that large trades incur costs: a substantial…

OptionsEquitiesMarket microstructureRisk management