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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
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

10,263 documents

Quant Q&A

The document surveys modeling concerns when interest rates can fall below zero, focusing on products whose pricing frameworks assume lognormal rates. Black-style option formulas and some volatility conventions become unsuitable when rates may be negative.…

Derivatives pricingOptionsFixed incomeVolatility
Quant Q&A

The document explains how to find the fixed coupon rate that makes a coupon bond's value at its starting date equal its face value. Under evenly spaced payment dates, each coupon is the rate multiplied by the accrual interval and face value. The bond price…

Fixed incomeDerivatives pricing
Quant Q&A

The document describes a question about Levy's moment-matching approximation for Asian options under geometric Brownian motion. When some monitoring points have already been observed, the method adjusts the strike using the observed average and the share of…

OptionsDerivatives pricing
Quant Q&A

The document explains why yield-curve construction often interpolates discount or forward rates rather than observed par swap rates. Its central point is that forward rates are more differentiated quantities: par rates aggregate information across periods,…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The discussion estimates the one-day profit and loss of a short call when the underlying moves sharply. The answer first assumes the position is delta hedged, so the starting portfolio has no first-order exposure to the spot move. It then treats the stated…

OptionsDerivatives pricingVolatilityRisk management
Quant Q&A

The document explores delta and vega hedging, exotic-product risk, and pricing when a derivative references an investment fund. The question highlights practical constraints: fund shares may be difficult or impossible to short, listed options may be…

Derivatives pricingVolatilityRisk managementOptions
Quant Q&A

The example shows how an incomplete one-period trinomial market can produce multiple risk-neutral probability distributions and a range of prices for a European call. With three possible stock outcomes but only the probability-sum and discounted…

OptionsDerivatives pricingStatistics
Quant Q&A

The discussion clarifies which expiry to use when applying a Black-style model to an option on a VIX future. It says to use the option’s exchange-published expiration date, measured from the valuation date, rather than the maturity of the underlying futures…

OptionsFuturesDerivatives pricing
Quant Q&A

The document asks how to identify, from a stock universe, the three names likely to produce the highest premium for a worst-of put. Its payoff depends on the weakest normalized asset outcome at maturity, so the question concerns both individual price…

OptionsEquitiesDerivatives pricingVolatility
Quant Q&A

The document considers whether shorting an out-of-the-money option and hedging only when the underlying reaches its strike can reproduce the option payoff or cap losses at the premium received. It describes a stop-loss/start-gain approach: the hedge is…

OptionsDerivatives pricingRisk management
Quant Q&A

The exercise asks whether the reciprocal of an asset price can itself be the arbitrage-free price of a traded derivative, and how to value a claim paying the reciprocal at maturity. Its attempted valuation uses risk-neutral discounted expectation under…

Derivatives pricingOptionsStatistics
Quant Q&A

The question considers a process defined by integrating time multiplied by the increments of a geometric Brownian motion, and asks for its expectation and variance. The response applies the product rule to the product of time and the asset process,…

StatisticsDerivatives pricing
Quant Q&A

The document describes a one-expiry SPX implied-volatility calibration using the SSVI parameterization. The initial implementation produced implausible estimates when fitting market option prices, and the author also found that the fitting objective had…

OptionsVolatilityDerivatives pricingBacktesting
Quant Q&A

The document explains how to simplify a maximum-and-minimum expression involving two ordered strikes and a terminal asset price. One proof divides the possible price outcomes into three regions: below the lower strike, between the strikes, and above the…

OptionsDerivatives pricingStatistics
Quant Q&A

The document explains a first-pass way to approximate a payer swaption’s profit and loss for a move in the underlying swap rate: use a Taylor expansion. Delta represents sensitivity to a parallel shift in the swap curve, while gamma captures convexity. This…

Fixed incomeOptionsDerivatives pricingRisk management
Quant Q&A

The document raises a risk-management problem for a vanilla option that terminates if realized volatility over the option’s life exceeds a preset barrier. Such a condition could reduce the option’s price, but it also makes the payoff depend on the path of…

OptionsVolatilityRisk managementDerivatives pricing
Quant Q&A

The document asks whether a two-factor Hull–White short-rate model, also called G2++, can represent swaption volatility smiles or skews, and whether fitting it to out-of-the-money swaptions would help. The answer points to local- and stochastic-volatility…

Fixed incomeOptionsVolatilityDerivatives pricing
Quant Q&A

The document addresses unstable numerical integration in Heston option pricing, where an oscillatory or slowly decaying integrand can produce negative computed prices, especially for deep out-of-the-money options. A recommended first remedy is the Little…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document explains how a Lévy process such as variance gamma, NIG, or CGMY can be time-changed by the integrated rate of a mean-reverting CIR process. This produces a stochastic volatility Lévy process: the clock remains nonnegative and increasing, but…

OptionsVolatilityDerivatives pricingFixed income
Quant Q&A

The document considers an Asian-style payoff equal to the square of the time average of an asset following geometric Brownian motion under risk-neutral dynamics. It asks whether the discounted conditional expectation has a closed-form value, noting that the…

OptionsDerivatives pricingStatistics
Quant Q&A

The document explains how to price a European claim that depends on the asset price at maturity in a recombining binomial model. Starting from the terminal payoff, it works backward through the tree, taking conditional expectations under risk-neutral…

OptionsDerivatives pricingRisk management
Quant Q&A

The document derives the hedging error that arises when a call is priced with Black–Scholes implied volatility but the underlying stock realizes a different volatility. The option price satisfies the Black–Scholes partial differential equation using the…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document explains why a callable bond’s Z-spread may not map cleanly to a unique price. The call option makes the bond’s value depend on whether and when the issuer exercises, and that decision is affected by both risk-free rates and credit spreads.…

Fixed incomeOptionsDerivatives pricing
Quant Q&A

The document considers whether counterparty risk invalidates the Black–Scholes hedging argument. It distinguishes listed options, where central clearing and collateral arrangements are intended to mutualize or mitigate default exposure, from over-the-counter…

OptionsRisk managementDerivatives pricingMarket microstructure