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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
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 compares buying puts on a small-cap index ETF with buying puts on leveraged inverse ETFs as a hedge against a possible market decline. The answer cautions that inverse ETFs target daily returns, so their longer-term performance depends on the…

OptionsEquitiesRisk managementUS markets
Quant Q&A

The document surveys references for learning local, stochastic, and local-stochastic volatility models in the context of equity derivatives and exotic options. The recommendations span theory-focused treatments, practical implementation material, and…

OptionsVolatilityDerivatives pricing
Quant Q&A

The discussion compares finite element methods (FEM) and finite difference methods (FDM) for option-pricing equations. FDM is described as a natural choice for directly discretizing a differential operator on a regular domain, while FEM works through a weak…

OptionsDerivatives pricingStatistics
Quant Q&A

The document explains what reported volume generally measures and why its meaning depends on the instrument and market. For exchange-listed stocks, volume usually counts shares traded; the monetary value is commonly called turnover or dollar volume. For…

EquitiesFuturesOptionsForex
Quant Q&A

The document explores what practitioners mean by a closed-form option-pricing formula, given that familiar formulas may rely on special functions such as the error function. It contrasts a strict mathematical interpretation, where the boundary of closed form…

OptionsDerivatives pricingStatistics
Quant Q&A

The question asks how to use a swaption’s delta and gamma ladder to estimate historical P&L when the underlying swap curve moves substantially. It describes the first-order delta estimate and asks how to extend the second-order Taylor term when gamma varies…

Fixed incomeOptionsDerivatives pricingStatistics
Quant Q&A

The document explains a Black–Scholes valuation for a forward-start call. The contract begins at a future date, and its strike is set as a fixed multiple of the underlying price on that date. At the start date, the ordinary call value can be written as the…

OptionsDerivatives pricingEquities
Quant Q&A

The document considers fitting Heston model parameters to market option prices through least squares, using multiple initial guesses to explore local optima. It focuses on how to incorporate the Feller condition, which restricts the parameters to keep the…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document describes a seagull as a financed option structure combining a call spread with a short put, or the reverse arrangement. Its example buys a call at a lower strike, sells a higher-strike call, and sells a put below the underlying price. Strikes…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document explains why differentiating the Heston call price as though its probability terms were fixed gives an incomplete delta: those terms also depend on the initial stock price. It presents an alternative based on degree-one homogeneity. When the…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document discusses estimating correlation delta, also called cega, for a multi-asset derivative by repricing after a small change in an asset-pair correlation. It identifies practical constraints when perturbing a correlation matrix: the matrix is…

Multi-assetOptionsDerivatives pricingStatistics
Quant Q&A

The document examines an ETF prospectus describing a four-leg European option position intended to provide long exposure to an equity index. The structure combines a long call and short put at a strike below the current index level with a long put and short…

OptionsEquitiesDerivatives pricingPortfolio construction
Quant Q&A

The document frames a calibration problem for pricing an equity exotic derivative under Heston and local volatility models. It asks whether to fit model prices directly to observed American option quotes, or first infer implied volatilities from those quotes…

OptionsEquitiesVolatilityDerivatives pricing
Quant Q&A

The document explains why an interest rate option's volatility convention matters for pricing and hedging. Normal volatility is associated with the Bachelier model, while lognormal volatility is associated with Black-style models. Although conventions can…

OptionsFixed incomeVolatilityDerivatives pricing
Quant Q&A

The note discusses estimating a risk-neutral density from European call prices using the Breeden-Litzenberger relation: the discounted call-price curve's second strike derivative gives the density. It outlines converting observed prices to implied…

OptionsDerivatives pricingStatisticsArbitrage
Quant Q&A

The document surveys ways to value derivatives when their pricing models lead to partial differential equations without convenient analytic solutions. It describes trees for simple cases and finite-difference grids, especially implicit and Crank–Nicolson…

OptionsDerivatives pricingBacktestingExecution
Quant Q&A

The document collects several explanations for why an option volatility smile or skew may become flatter at longer maturities. One account invokes the central limit theorem: under broad assumptions, sums of log returns tend toward a normal distribution,…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document asks how to judge whether implied volatility is expensive or cheap when historical volatility is a weak guide. It argues that volatility’s fundamental value depends on changing conditions such as the arrival and importance of news, market…

VolatilityOptionsCommoditiesRisk management
Quant Q&A

The document considers whether a two-asset European basket option can be reduced to a single underlying option by combining the assets’ local volatilities with their weights and a constant correlation. The response says the proposed expression is a variance…

OptionsDerivatives pricingVolatilityMulti-asset
Quant Q&A

The document explains how to price a European best-of option on two correlated assets under geometric Brownian motion. Its key step rewrites the maximum payoff as one asset plus an exchange option that pays the positive difference between the other asset and…

OptionsDerivatives pricingVolatility
Quant Q&A

The document points readers seeking a theory of option pricing in incomplete markets to a specific textbook chapter. Its premise is that, when markets do not allow every contingent claim to be replicated, an option may not have a unique arbitrage-free price;…

OptionsDerivatives pricingArbitrage
Quant Q&A

The document addresses whether a probability density inferred from option prices using the Breeden–Litzenberger relationship can be smoothed into a statistically valid CDF by fitting a kernel density estimate to the density values. It argues that resampling…

OptionsDerivatives pricingStatisticsVolatility
Quant Q&A

The document explains why a trader who wants downside protection with the ability to benefit from rising prices may choose an option on a futures contract instead of entering a futures position later. A futures contract fixes exposure to a market price and…

FuturesOptionsCommoditiesRisk management
Quant Q&A

The document discusses whether a 25-delta put-versus-call implied volatility measure has a predictable relationship with the underlying spot price. One cited explanation associates a continuous-maturity skew measure with the S&P 500 and notes that both it…

OptionsVolatilityDerivatives pricingUS markets