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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

10,263 documents

Quant Q&A

The document asks how to apply put-call parity when interest rates and dividend yields vary across states of a Markov regime-switching model. It describes a setting in which each regime may also use a different underlying price model, and transitions are…

OptionsDerivatives pricingStatistics
Quant Q&A

The document raises a valuation question about a convertible bond: how to derive yield to maturity from a value calculated with an option valuation model. It considers treating the difference between the calculated value and the bond’s issue value as…

Fixed incomeOptionsDerivatives pricing
Quant Q&A

The document asks whether an options gamma exposure index can help forecast realized volatility and how to turn gamma exposure into an implied-move curve across underlying prices. It describes GEX as an aggregate of call and put gamma exposure, calculated…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document considers pricing a European put when the underlying follows geometric Brownian motion multiplied by a compound Poisson jump process. It proposes conditioning on the number of jumps over the option’s remaining life, then summing the conditional…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document asks how a physics undergraduate with some Python, machine-learning coursework, and numerical computing experience can prepare for quant roles. The answer proposes using QuantLib as a practical test of programming and financial modeling ability,…

Fixed incomeDerivatives pricingMachine learningStatistics
Quant Q&A

The document asks how to adapt a Heston European call formula for an FX pair, where pricing involves both a domestic rate and a foreign rate. It supplies a stock-option integral formula, a characteristic function, and proposed asset and variance dynamics,…

ForexOptionsDerivatives pricingVolatility
Quant Q&A

The document considers a Bermudan callable bond whose observed price appears to approach its redemption value before a call date and then rise when the issuer does not call. It explains that an arbitrage-free model may predict a call when the issuer has…

Fixed incomeDerivatives pricingRisk management
Quant Q&A

The document works through the expectation of the cosine of standard Brownian motion at a fixed time. Since the process value is normally distributed with mean zero and variance equal to time, its characteristic function gives the expectation directly as an…

StatisticsDerivatives pricing
Quant Q&A

The answer shows how to test a laddered option payoff for mispricing by expressing it as a portfolio of simpler calls. It first represents the payoff across strike-defined regions, then rewrites it using call payoffs that activate above each strike. For the…

OptionsArbitrageDerivatives pricing
Quant Q&A

The discussion addresses how to estimate an option’s vega, volga, and vanna by repricing after perturbing the volatility input. When a product depends on an entire Black variance surface, replacing it with a single constant volatility can be unsuitable for…

OptionsDerivatives pricingVolatility
Quant Q&A

The document clarifies that a risk-neutral probability measure is not generally a special case of an invariant measure. A risk-neutral measure can be obtained through a change of probability measure that adjusts for selected market prices of risk, so that…

StatisticsDerivatives pricing
Quant Q&A

A call option on a forward gives its holder the right to enter a forward contract at the option’s expiry. Whether exercise is worthwhile depends on the forward price at that time relative to the strike. The resulting exposure is to the forward contract; it…

OptionsDerivatives pricingFutures
Quant Q&A

The note outlines a model-based route to backtesting variance and volatility swaps when direct swap data is unavailable. It uses a one-factor Bergomi setup in which instantaneous variance follows a lognormal process correlated with the asset return. In this…

OptionsVolatilityDerivatives pricingBacktesting
Quant Q&A

The note gives a brief overview of venues and access considerations for power derivatives. Responses mention ICE and NYMEX for over-the-counter power contracts, CME as another derivatives venue for power markets, and Clearport settlements as a place where…

CommoditiesDerivatives pricingMarket microstructure
Quant Q&A

The note explains the difference between measuring interest-rate risk by individual tenors and measuring it on a single, undecomposed curve. For delta, rates at standard maturities can be shifted one at a time to estimate tenor sensitivities; their sum…

Fixed incomeRisk managementDerivatives pricing
Quant Q&A

The document derives a replication for a European chooser option, which lets its holder decide at an intermediate date whether to receive a call or a put, both expiring later. At the choice date, put–call parity expresses the put payoff as the call payoff…

OptionsDerivatives pricing
Quant Q&A

The document explains an FX swap as an exchange of currencies at spot with a later reversal, and asks how to value the remaining cash flows. Its answer emphasizes that market quotes use forward points: the forward rate is the spot rate plus the quoted…

ForexDerivatives pricingFixed income
Quant Q&A

The document describes an option-pricing problem in which volatility changes when the underlying crosses a specified barrier. It suggests this setup may represent a post-crash environment where near-term option volatility is elevated and expected to move…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document asks why a futures price is not simply the expected future spot price, and contrasts this intuition with cost-of-carry pricing. Its answer frames futures and forwards through arbitrage-free pricing: if an asset can be bought and financed until…

FuturesOptionsArbitrageDerivatives pricing
Quant Q&A

The document considers how to estimate daily value-at-risk for a long option and asks whether the estimate can reflect the fact that the position cannot lose more than its premium. It contrasts a rough premium-based rule with delta-gamma VaR, which…

OptionsRisk managementDerivatives pricingStatistics
Quant Q&A

The document examines a chart of equity index implied skew and spot–volatility beta across option maturities. It describes implied skew as related to how implied volatility changes as the forward or spot level moves, while emphasizing that the relationship…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document examines a formula attributed to a paper on learning-based derivative pricing. The question is how to interpret a 60-day range of daily returns when estimating volatility for Black–Scholes: if the sample standard deviation is already daily…

VolatilityStatisticsDerivatives pricing
Quant Q&A

The document introduces Black–Scholes as a model for calculating a theoretical option price and asks how to interpret its d1 and d2 terms. The response says the model gives an appropriate price only if its assumptions hold. It does not explain d1 or d2…

OptionsDerivatives pricingRisk management
Quant Q&A

The document describes a method for estimating an ETF’s implied funding or borrowing spread from option prices. It first adjusts American option prices toward European equivalents using the American–European price difference from a fitted volatility model.…

OptionsDerivatives pricingStatisticsMarket microstructure