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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
WonderTrader
14 documents
Alphalens
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 considers how to define quantitative finance and whether finance belongs primarily to mathematics or economics. One proposed definition treats quantitative finance as applied mathematics drawing on statistics, economics, econometrics, game…

StatisticsPortfolio constructionDerivatives pricing
Quant Q&A

A European put with strike K pays no more than K at maturity, since its payoff is the greater of K minus the underlying price and zero. The document applies the no-arbitrage principle: the put cannot be worth more before maturity than a zero-coupon bond…

OptionsDerivatives pricingArbitrage
Quant Q&A

The document presents a Python implementation of Longstaff–Schwartz least-squares Monte Carlo for an American-style Asian call with exercise available at discrete dates. The payoff depends on the average underlying price observed up to exercise. The reported…

OptionsDerivatives pricingBacktestingStatistics
Quant Q&A

The document explains why option volatility surfaces may use forward moneyness instead of raw strike. Moneyness measures a strike’s distance from a reference price; forward moneyness compares the strike with the forward price for that option’s maturity. This…

OptionsVolatilityDerivatives pricingArbitrage
Quant Q&A

The document defines rolling for credit default swap contracts, distinguishing the creation of a new series from the maturity of an existing contract. For CDS indices, a new series is introduced on semiannual dates, and its basket of reference entities may…

Fixed incomeDerivatives pricingMarket microstructure
Quant Q&A

The document explains two ways to create forward scenarios for a bond yield series. One approach resamples historical yield changes: repeatedly draw changes from the observed series, accumulate them from the latest yield, and use the resulting paths to…

Fixed incomeStatisticsRisk managementDerivatives pricing
Quant Q&A

The document asks how a risk surface can turn sensitivities from a model’s implied volatility function into sensitivities to market quoted volatilities. The described method adds an interpolated surface of risk bumps to the model volatility. At the base…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document distinguishes an analytic swap PV01 from a market risk measure calculated by shifting rates. Analytic PV01 measures the value change from moving the fixed coupon by one basis point while holding discount factors unchanged; it is useful for…

Fixed incomeDerivatives pricingRisk managementStatistics
Quant Q&A

The document discusses estimating the volatility and mean-reversion parameters of a Hull–White short-rate model when the market has daily overnight rates and a swap-based zero-coupon curve but no actively traded options. It distinguishes estimation from…

Fixed incomeDerivatives pricingVolatilityStatistics
Quant Q&A

The document derives probabilities for the first observation date on which a geometric Brownian motion underlier exceeds an autocall barrier. It writes the asset as an exponential of drift and Brownian motion, then converts the barrier condition at each…

Derivatives pricingStatisticsFixed income
Quant Q&A

The document examines whether combining a long butterfly, which benefits from a price near its center at expiration, with a long straddle, which benefits from a large move, can produce a profit across all terminal prices. The accepted answer explains the…

OptionsDerivatives pricing
Quant Q&A

The document asks whether negative short-term risk-free rates require changes to the Black-Scholes option pricing formula. Its answer says the standard model does not require the rate to be positive, so a negative rate can be used directly. Under the stated…

OptionsDerivatives pricingVolatility
Quant Q&A

The document addresses why interest rate swaps are often valued using forward rates derived from today’s yield curve instead of simulating each future floating payment. It explains that spot rates are bootstrapped from traded instruments and imply forward…

Fixed incomeArbitrageDerivatives pricing
Quant Q&A

The document introduces the risk-neutral density as the probability distribution of an asset price under an equivalent martingale measure. It asks whether that distribution can be described by a density with respect to ordinary length on the price axis, and…

StatisticsDerivatives pricing
Quant Q&A

The note addresses whether a rates Bermudan callable or swaption remains convex as its strike changes, even though possible exercise dates correspond to swaps with different remaining maturities. It represents the exercise payoff at a given date as the…

Fixed incomeOptionsDerivatives pricing
Quant Q&A

The document discusses how to express the Heston stochastic volatility pricing equation using a forward price, log-moneyness, time to expiry, and an undiscounted option value. It gives the spot and variance processes, their correlated Brownian shocks, and a…

OptionsVolatilityDerivatives pricingFixed income
Quant Q&A

The document explains why the Black–Scholes delta of an in-the-money call can first decline and later increase as volatility rises. Interpreting delta as the risk-neutral probability of exercise, it separates two effects: greater volatility makes the strike…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document examines how a Black–Scholes call price approaches its terminal payoff as time to maturity shrinks to zero. It rewrites the price into a term involving the discounted intrinsic-value difference and a second term expressed as an integral of the…

OptionsDerivatives pricingStatistics
Quant Q&A

The document introduces Fischer Black’s idea that the nominal short rate can be viewed as an option: it is the greater of zero and the sum of a shadow real interest rate and inflation. The shadow rate is described as tied to the investment opportunity set,…

Fixed incomeOptionsDerivatives pricing
Quant Q&A

The note explains how delta-hedging error arises when an option is valued using an assumed volatility that differs from the underlying asset's true volatility. The option's Black–Scholes pricing equation links its theta to its price, delta, gamma, interest…

OptionsDerivatives pricingRisk managementVolatility
Quant Q&A

The note asks why options on leveraged exchange-traded funds can appear cheaper than options on an unleveraged fund tracking the same index and expiry, despite an expectation that leverage should multiply implied volatility. It explains that a daily…

OptionsEquitiesVolatilityDerivatives pricing
Quant Q&A

The note addresses why a call spread built from two outer strikes does not create arbitrage simply because its price exceeds the price of an intermediate-strike call. The intermediate call is cheaper than the weighted combination, so buying it and selling…

OptionsArbitrageDerivatives pricing
Quant Q&A

The document compares two numerical approaches for pricing European calls under the Heston–Nandi GARCH model using an inversion integral. One implementation evaluates the integrand through adaptive quadrature, while another precomputes…

OptionsVolatilityDerivatives pricingBacktesting