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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
Quantopian lectures
45 documents
Binance API docs
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 explains why the Heston pricing framework includes a market price of volatility risk and how it relates to Monte Carlo simulation. The stock and variance processes have two Brownian drivers but only one traded risky asset, so the no-arbitrage…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document explains how the choice of probability measure in interest-rate pricing follows from the chosen numéraire. Under the measure associated with a traded numéraire, asset prices expressed relative to it are martingales. This gives a practical way to…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document poses a valuation problem for a forward-starting interest-rate swap in a binomial short-rate lattice. The swap begins after the valuation date, receives floating payments, pays a fixed rate, and makes payments in arrears. The questioner reports…

Fixed incomeDerivatives pricingBacktesting
Quant Q&A

The document asks for a rigorous interpretation of the functional derivative terms in Bergomi’s pricing equation for a European claim. The price is viewed as depending on spot and a family of stochastic processes indexed by future times, which raises…

VolatilityDerivatives pricingStatistics
Quant Q&A

The document derives a zero-coupon bond price when the short rate starts at a fixed level and rises by a fixed increment at each jump of a Poisson process. The discount factor depends on the time integral of the jump count. By exchanging the order of…

Fixed incomeStatisticsDerivatives pricing
Quant Q&A

The document explains why a binary call and a standard European call with matching contract inputs do not have the same delta. A vanilla call has a payoff that rises continuously with the underlying above its strike, while a cash-or-nothing binary pays a…

OptionsDerivatives pricingVolatility
Quant Q&A

The document collects learning resources for someone starting with volatility modeling, especially local volatility and surface calibration. It points to a practitioner book and lectures, a thesis focused on calibrating a local volatility surface, and a…

VolatilityOptionsDerivatives pricing
Quant Q&A

The document explores why option-pricing ideas have not become a routine way to value risky corporate cash flows. It presents the structural analogy in which equity resembles a call option on firm assets and debt resembles a liability exposed to the firm's…

OptionsFixed incomeEquitiesDerivatives pricing
Quant Q&A

The document compares two ways to price a callable zero-coupon bond in the Ho-Lee short-rate model. One method values the bond as a straight zero-coupon bond minus a European call on that bond. The other represents the callable bond as a claim whose value…

Fixed incomeOptionsDerivatives pricingBacktesting
Quant Q&A

The document poses a modeling question about pricing European options with dynamic programming. The proposed setup treats option hedging as a discrete-time, continuous-state Markov decision problem and uses a risk-sensitive action-value function: instead of…

OptionsDerivatives pricingRisk management
Quant Q&A

The document gives a brief hint for a quantitative finance exercise about a European call option’s value as a function of its strike. It writes the price as an integral of the option payoff over a distribution of the underlying value, then relates…

OptionsDerivatives pricingStatistics
Quant Q&A

The document is a categorized directory of online sources for finding quantitative finance research and related publications. It covers platforms that let readers search, view, or download papers; indexing services that can help locate open versions; a…

StatisticsDerivatives pricingMulti-asset
Quant Q&A

The document explains how to extend a Heston stochastic volatility option model with jumps in the underlying asset. It recommends first considering a jump diffusion such as Merton’s model, which uses lognormally distributed jump sizes, or Kou’s model, which…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document explains why a Treasury yield-to-maturity curve cannot be used directly as a spot-rate curve. A yield to maturity summarizes the discount rate for an instrument with multiple cash flows, whereas a spot rate discounts a payment at a particular…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document asks how to price a European-style exotic payoff equal to the square root of the stock price at the end of a one-step binomial period. Its answer uses the risk-neutral probability implied by the current stock price and the two possible future…

OptionsDerivatives pricingArbitrage
Quant Q&A

The document explains why a calculation of a 3M SOFR futures final settlement can differ from values in a Bloomberg historical price table. It distinguishes the daily exchange settlement, which is quoted on a futures tick grid, from final settlement, which…

FuturesFixed incomeDerivatives pricing
Quant Q&A

The document diagnoses a mismatch between a European option’s net present value and the model value reported by a QuantLib Heston calibration helper. The example calibrates a Heston model to implied volatilities and then prices a put with what appear to be…

OptionsDerivatives pricingVolatility
Quant Q&A

The document explains an arbitrage argument linking Black–Scholes option values to total variance, expressed as volatility squared times time to expiration. For otherwise comparable options, the Black–Scholes price rises with this input. If total variance…

OptionsVolatilityDerivatives pricingArbitrage
Quant Q&A

The document explains how dividends enter vanilla index-option valuation under the Black-Scholes framework. For options written on a spot index, one response describes using a continuous dividend yield inferred from put-call parity. Another notes that actual…

OptionsDerivatives pricingEquitiesUS markets
Quant Q&A

The document considers how to calibrate the Heston stochastic-volatility model and narrows its response to calibration from time series. Because volatility is latent, that task can be framed as nonlinear filtering. The answer points to research methods and…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document asks how to price a contract that gives its buyer the right to select one cashflow from a finite set in a discrete-time, arbitrage-free, complete market. The proposed approach first prices each cashflow by summing the prices of its payments,…

Derivatives pricingOptionsRisk managementArbitrage
Quant Q&A

The document presents a Monte Carlo setup for pricing a basket option on nine currency crosses. It updates each cross over multiple time steps using lognormal dynamics, with correlated normal draws supplied in a simulation array. At each simulation’s end, it…

ForexOptionsDerivatives pricingStatistics
Quant Q&A

The document explains two relationships in a Black Scholes derivation involving implied skew. First, it shows how a no arbitrage condition links the mean and variance of log returns to the difference between domestic and foreign rates, with higher cumulants…

OptionsDerivatives pricingArbitrageStatistics
Quant Q&A

The document examines whether a trader can earn positive expected value from a zero-drift random walk. It presents the martingale framework: when position sizes are chosen using only past information and remain bounded, the gains process has zero expected…

StatisticsRisk managementPosition sizingDerivatives pricing