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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

8,116 documents

Quant Q&A

The document describes how practitioners can approximate a digital option using a narrow call spread around its strike. Buying the lower-strike call and selling the upper-strike call creates a payoff concentrated between the strikes; as the gap narrows, the…

OptionsDerivatives pricingVolatilityExecution
Quant Q&A

The document explains a model-based route for estimating a European option’s value when its American counterpart is quoted. First, specify assumptions for the underlying’s risk-neutral dynamics, such as a diffusion or jump-diffusion model. Then select a…

OptionsDerivatives pricing
Quant Q&A

The document considers why traders might choose American-style options, which allow exercise before expiry, over European-style contracts, which can be exercised only at expiry. It gives a proposed benefit for a short-dated option: exercising when the…

OptionsEquities
Quant Q&A

The document explains why commodity options commonly reference futures or forwards rather than spot prices. Futures can offer liquid, standardized contracts with established price discovery and settlement conventions, making them practical underlyings for…

CommoditiesOptionsFuturesVolatility
Quant Q&A

The document explains why higher volatility can increase the cost of delta-hedging a short option. Its central point is that the volatility used to price an option is an estimate of what the underlying will realize over the option’s life. If actual realized…

OptionsVolatilityRisk managementDerivatives pricing
Quant Q&A

The document explains how forward delta for a vanilla foreign-exchange option relates to a hedge using a forward contract. Under the stated Black pricing setup, differentiating the call value with respect to the outright forward rate gives a discounted…

ForexOptionsDerivatives pricingRisk management
Quant Q&A

The document explains when early exercise changes the value of American options on a non-dividend-paying underlying. Under the no-arbitrage assumption and a nonnegative risk-free rate, early exercise of a call is not optimal because it gives up remaining…

OptionsDerivatives pricing
Quant Q&A

The document explains why a short-rate model may be used to value bonds and swaps even when their cash flows have no embedded options. A correctly calibrated model must reproduce the present value obtained by discounting fixed cash flows against the spot…

Fixed incomeDerivatives pricingOptions
Quant Q&A

The document explains how introducing stochastic interest rates changes the uniqueness of a Black–Scholes call price. The key issue is whether the interest rate risk can be traded and hedged. If no claims linked to the stochastic rate are available, the…

OptionsDerivatives pricingFixed income
Quant Q&A

The document considers a Monte Carlo portfolio analysis in which changing the weights and strikes of put options reduces measures such as expected return and volatility, while Value at Risk sometimes rises. The response says this outcome can be plausible…

OptionsRisk managementPortfolio constructionBacktesting
Quant Q&A

The post asks how a trader should adjust a volatility surface when pricing a product that includes a long option. The answer describes shifting the parameters of a chosen surface model in absolute terms, with adjustments reflecting the trader’s exposure to…

OptionsVolatilityRisk managementDerivatives pricing
Quant Q&A

The post points readers seeking a C# implementation of the Barone-Adesi-Whaley option pricing model to QLNet, a C# port of QuantLib. It identifies the library’s pricing engine as a place to find a native implementation, offering a practical route for someone…

OptionsDerivatives pricing
Quant Q&A

The document describes reducing the pricing of a fixed-strike Asian call to a partial differential equation in time and a transformed state variable. The state variable tracks the remaining strike after accounting for the average accumulated so far, scaled…

OptionsDerivatives pricingBacktesting
Quant Q&A

The document examines how an option’s theta changes as time passes, sometimes described as theta acceleration. It distinguishes the textbook Black–Scholes theta from a finite-difference estimate obtained by repricing after a one-day time shift. Comparing…

OptionsDerivatives pricingVolatility
Quant Q&A

The document explains why a Monte Carlo estimate for an up-and-out call can be too high when simulated paths use discrete time steps. A path may cross the barrier between sampled points and return below it before the next observation, so checking only the…

OptionsDerivatives pricingStatisticsBacktesting
Quant Q&A

The document gathers advice for a mathematician with statistics and programming experience who wants to enter quantitative finance without first joining a hedge fund. It recommends exploring quant roles at banks or in academia, building relationships with…

OptionsDerivatives pricingStatisticsMachine learning
Quant Q&A

The document examines how to price IBOR-linked caplets and floorlets when the underlying FRA uses different day-count conventions for its floating and fixed legs. The standard Black formula multiplies the option value by one accrual fraction, but real market…

Fixed incomeOptionsDerivatives pricing
Quant Q&A

The document considers calibrating an equity stochastic-volatility model alongside a stochastic short rate, with correlations among the driving processes. It explains that the stated combination may lack a tractable closed-form pricing formula, making direct…

OptionsDerivatives pricingVolatilityFixed income
Quant Q&A

The document investigates systematic profit-and-loss errors in a simulated dynamic hedge of an American put. It describes pricing and recalculating delta with a fine-step binomial tree while simulating the stock as geometric Brownian motion, financing the…

OptionsDerivatives pricingBacktestingRisk management
Quant Q&A

The document frames the model-selection problem for pricing vanilla swaptions on fixed-versus-floating or floating-versus-floating legs. Requirements include multiple floating-rate tenors, OIS and LIBOR legs across currencies, mid-curve structures, and both…

OptionsFixed incomeDerivatives pricingVolatility
Quant Q&A

The document considers whether options can reveal the market’s expected volatility from one close to the following open. It explains that an option’s implied variance over its life represents variance accumulated across the full interval to expiry. A quoted…

OptionsVolatilityStatisticsDerivatives pricing
Quant Q&A

The document asks whether a volatility skew creates expected profit from buying an at-the-money option and delta hedging it. Its answer separates implied volatility from the path of realized prices: a move to a particular terminal level does not reveal how…

OptionsVolatilityDerivatives pricing
Quant Q&A

This document examines why an American call on a non-dividend-paying stock is generally not exercised before expiration. Its central correction is that comparing the proceeds from early exercise with a hypothetical payoff at maturity mixes a known current…

OptionsDerivatives pricingRisk management
Quant Q&A

The note examines why an equity option’s annualized at-the-money implied volatility can be higher for a shorter expiry than for a longer one. It distinguishes a downward-sloping volatility term structure from negative forward variance: comparing two implied…

OptionsEquitiesVolatilityDerivatives pricing