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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 discusses finite-difference boundary treatment for a Heston-Hull-White partial differential equation, which includes second derivatives, mixed derivatives, drift terms, and a discount term. The stated boundaries include a fixed value at zero…

OptionsDerivatives pricingStatisticsBacktesting
Quant Q&A

The document explains how to apply importance sampling to Longstaff–Schwartz least-squares Monte Carlo pricing for an American option. Simulated stock paths use a drift shifted from the risk-neutral process to generate more paths in relevant payoff regions.…

OptionsDerivatives pricingStatisticsBacktesting
Quant Q&A

The document explains a connection between an option’s vega and the cumulative gamma P&L from delta hedging. Under a Black–Scholes–Merton framework, a hedged option’s incremental P&L is attributed to gamma exposure multiplied by the difference between…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document offers ways to choose a master’s thesis topic in quantitative finance when no faculty member at the student’s university specializes in the field. One suggested route is to start with an existing research paper, then revisit its problem using a…

OptionsDerivatives pricingStatistics
Quant Q&A

The answer explains why implied volatility surfaces and realized volatility are not directly comparable across strike or moneyness. An implied volatility surface may vary by strike because it reflects the volatility required by a pricing model to match…

OptionsVolatilityStatistics
Quant Q&A

The document explains how a modified European call payoff can be priced by decomposing its terminal payoff into standard calls and digital calls. Because option values are linear in the payoff under risk-neutral valuation, the modified contract’s value is…

OptionsDerivatives pricingArbitrage
Quant Q&A

This note explains an operator identity used to rewrite the Black–Scholes equation before transforming it into the one-dimensional heat equation. The key is to interpret the squared operator as applying S times differentiation with respect to S twice, in…

OptionsDerivatives pricing
Quant Q&A

The document considers how to estimate implied volatility at a target delta when option quotes share an expiry but have different deltas and implied volatilities. It presents cubic splines as a possible first approach when the volatility-versus-delta…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document asks why the immediate-exercise payoff for an American put, the greater of intrinsic value and zero, is not itself a valid solution to the American-option pricing problem. Although that payoff satisfies the terminal payoff condition and never…

OptionsDerivatives pricingStatistics
Quant Q&A

The document surveys ways entropy concepts can be applied to financial time series. Suggested uses include studying market behavior and crash forecasting, connecting entropy with the Kelly approach to money management, and deriving option-pricing results…

StatisticsRisk managementExecutionMachine learning
Quant Q&A

The document asks how to interpret the pseudo-critical stock price used in a forward Monte Carlo method for pricing American options. It presents the Barone-Adesi–Whaley call exercise-boundary equation, where the parameter Q2 is determined by rates,…

OptionsDerivatives pricingStatistics
Quant Q&A

The document explains how to adapt the usual one-step binomial delta hedge for an Asian option. Between averaging dates, the hedge uses the standard comparison of option value across the up and down stock-price branches, provided the average state is held…

OptionsDerivatives pricingRisk management
Quant Q&A

The document examines how to derive the value function for an American put whose expiration is randomized by a Poisson jump time. It states the governing differential equation, the unknown exercise boundary, and boundary conditions for value matching, smooth…

OptionsDerivatives pricingStatistics
Quant Q&A

The question describes an option-pricing framework in which aggregate dividends and a state variable evolve with Gaussian shocks, while a stochastic discount factor determines risk-adjusted valuation. The underlying equity claim is represented as a sum of…

OptionsDerivatives pricingMachine learningStatistics
Quant Q&A

This exchange distinguishes theoretical trinomial trees from trinomial trees constructed to approximate a specified risk-neutral model, such as Black–Scholes. In the theoretical setting, a trinomial framework may permit a range of prices rather than…

OptionsDerivatives pricingStatisticsVolatility
Quant Q&A

The document introduces a Black–Scholes view of a European call’s time value: the option price minus intrinsic value. It asks whether this amount can be divided into value from postponing the exercise decision and value from postponing cash flows tied to…

OptionsDerivatives pricingCarry
Quant Q&A

The document asks how to value a variance swap whose cash flow is settled monthly using realized variance calculated from recent daily S&P 500 closes. It contrasts this setup with standard continuous-time variance swap pricing and asks whether QuantLib can…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document contrasts a direct integration of a geometric Brownian motion payoff with the broader reasoning behind Black–Scholes pricing. Integrating the terminal lognormal distribution can produce the call formula under a specified drift condition, but…

OptionsDerivatives pricingStatistics
Quant Q&A

The document explains why option values generally depend on both the underlying price and time, so they are described by a partial differential equation rather than an ordinary differential equation. It then gives perpetual American options as an important…

OptionsDerivatives pricingFixed income
Quant Q&A

The document describes a need to estimate margin requirements for varied options structures using the CBOE strategy-based margin rules. The requester seeks a programming library that accepts trade details and calculates the resulting margin or cost, ideally…

OptionsRisk managementDerivatives pricing
Quant Q&A

The discussion explains ways a retail investor might gain exposure to complex derivatives, including through institutions serving wealthy clients, professional-investor status, or bespoke structured notes. Access depends on jurisdiction and investor…

OptionsDerivatives pricingRisk managementExecution
Quant Q&A

The document examines negative values produced when estimating a risk-neutral density from the second differences of same-maturity option prices across adjacent strikes. The example uses S&P 500 call quotes and shows that even a finite-difference estimate…

OptionsDerivatives pricingStatistics
Quant Q&A

The document presents a proposed proof that European call prices are concave in strike and identifies an invalid inequality as its flaw. The argument considers three ordered strikes and uses the payoff bound for a call spread to bound differences in call…

OptionsDerivatives pricingArbitrage
Quant Q&A

The document raises a risk-management question for a market maker in liquid, short-dated vanilla options: how to estimate portfolio Greek changes after large moves in the underlying. The starting volatility curve is built from current implied volatilities by…

OptionsVolatilityRisk managementMarket making