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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

12,303 documents

Quant Q&A

A binary option pays a fixed amount when the underlying finishes on one side of its strike, so its value is tied to the risk-neutral probability of that event, discounted for interest rates. Under a lognormal Black–Scholes model, increasing volatility can…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document addresses a kink that can appear when combining call and put implied volatilities to build a fixed-tenor smile from American SPY options. The response recommends deriving one forward price for the option maturity from dividends and the market…

OptionsVolatilityDerivatives pricingMarket microstructure
Quant Q&A

The response discusses how implied volatility differences between expiration dates can affect calendar spread pricing. It suggests that when front-month implied volatility is below back-month volatility, calendars may have broader profit ranges and higher…

OptionsVolatilityBacktesting
Quant Q&A

A replicating portfolio matches an option’s payoff only under idealized assumptions, including continuous trading, no transaction costs, unlimited divisibility, and known constant volatility. Actual markets violate these conditions, so an option combined…

OptionsVolatilityRisk managementMarket making
Quant Q&A

Whether an option has a closed-form price depends on both its payoff and the assumed dynamics of the underlying asset. Some European vanilla options have tractable formulas under certain models, while other combinations of payoff and dynamics do not. The…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The exchange presents a regression-based way to estimate how implied volatility may change when the underlying spot price moves. It points to a minimum-variance delta relationship in which the expected implied volatility change depends on the proportional…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document asks for references surveying methods used to calibrate stochastic volatility models, including the Heston model. It notes that many calibration approaches exist and seeks a broad overview of research and practical projects. The response…

VolatilityDerivatives pricingStatistics
Quant Q&A

The document explains how to track relative implied volatility at a specific option delta over time, such as comparing a 10-delta put with an at-the-money put. The suggested process begins with collecting option quotes across strikes and expirations for each…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document derives how delta hedging an options book can affect the underlying when hedge trades move its price. It starts with the delta-hedged profit and loss formula, then models price impact as proportional to the dollar demand created by rebalancing.…

OptionsDerivatives pricingVolatilityMarket microstructure
Quant Q&A

The note clarifies that Black–Scholes gamma measures the change in option delta per unit change in the underlying price. It is an absolute sensitivity, so a large gamma value for a low-priced underlying does not itself indicate an error or describe a…

OptionsDerivatives pricingVolatility
Quant Q&A

The document explains why Broadie–Kaya exact simulation is not automatically the practical choice for the Heston stochastic volatility model. Its main advantage is that it can simulate across arbitrary time steps without the time-discretization bias…

VolatilityDerivatives pricingStatisticsBacktesting
Quant Q&A

The document asks how to reproduce a volatility strategy described in a referenced study: short VXX while holding a long position in a VIX futures contract. It proposes that the combination may isolate exposure to a later futures month, asks how many VXX…

VolatilityFuturesRisk managementPosition sizing
Quant Q&A

The document compares short- and long-dated straddles as ways to take a long-volatility position. Its answer links short-term straddles to profits from realized movements that exceed expectations, describing this exposure in terms of gamma. Longer-term…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document outlines how a variance swap works: the buyer exchanges a fixed variance strike for realized variance calculated from returns over specified observation dates. For liquid standard contracts, the market quotes the strike; for nonstandard expiries…

Derivatives pricingVolatilityOptionsStatistics
Quant Q&A

The discussion asks whether equity option valuation should account for uncertainty in interest rates, including in a risk-neutral expectation discounted by the path of the short rate. It explains that interest-rate sensitivity, measured by rho, is usually…

OptionsDerivatives pricingVolatilityRisk management
Quant Q&A

The document asks where to find algorithmic trading strategies that were once profitable but later stopped working. Its answer points to public compilations of strategies, while cautioning that detailed disclosure is unlikely. It gives several reasons:…

Machine learningBacktestingVolatility
Quant Q&A

The discussion questions whether option sellers hedge more actively than buyers and argues that the buyer-versus-seller label alone does not determine hedging behavior. Responses emphasize the difference between customers and dealers or market makers:…

OptionsMarket makingVolatilityMarket microstructure
Quant Q&A

The document asks whether a multi-factor stochastic volatility model, especially a two-factor model, can be approximated by a faster single-factor model for Monte Carlo calibration. It defines the distinction in terms of the number of Brownian motions…

VolatilityDerivatives pricingStatistics
Quant Q&A

The note clarifies the role of volatility in the geometric Brownian motion model, whose price increments contain both a drift term and a Wiener-process term. A standard Wiener process has zero-mean increments with variance proportional to elapsed time. It…

StatisticsVolatility
Quant Q&A

The note explains a maximal curve as a way to estimate the probability that price reaches a specified distance up or down within a given time. It describes converting a volatility estimate, expressed as price movement per hour, into probabilities with a…

VolatilityStatisticsRisk management
Quant Q&A

The document shows how to compute the second moment of a stochastic integral against a compensated Poisson process. Its method defines the integral as a martingale, applies the product rule for jump processes to its square, and separates the jump quadratic…

StatisticsVolatility
Quant Q&A

The document poses a stochastic-calculus problem for a price process whose relative changes are driven by a compensated jump measure. It also specifies a state variable and a jump intensity that depends on that state. The requested quantity is the…

StatisticsVolatility
Quant Q&A

The discussion considers how an issuer might hedge an ETN linked to a VIX strategy, especially when replicating an index with VIX futures could involve trading costs and limited liquidity in deferred contracts. The answers emphasize that a hedge need not…

VolatilityOptionsFuturesRisk management
Quant Q&A

The VIX calculation uses out-of-the-money SPX options with nonzero bids, so its option count changes as volatility and the available strike range change. The document asks how many options might be needed to replicate the index, but provides no practical…

OptionsVolatilityDerivatives pricingStatistics