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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

20,364 documents

Quant Q&A

The document frames option leverage as delta divided by option price and asks which European strike maximizes that ratio. It supplies Black–Scholes call and put prices and deltas, then presents a numerical exploration across strikes for selected fixed…

OptionsDerivatives pricingVolatility
Quant Q&A

The exchange explains what trade, quote, and order book feeds reveal about order types. Public feeds generally do not label market orders or iceberg orders. Matching trades with identical timestamps may help approximate market order activity, but it can…

Market microstructureExecutionHigh-frequency trading
Quant Q&A

This exchange diagnoses a dimensional error in a one-step geometric Brownian motion simulation. The closed-form process uses a drift term of (μ − σ²/2)T and a random term of σ√T multiplied by a standard normal shock. The code in the question instead…

StatisticsBacktesting
Quant Q&A

The document compares the classical LIBOR Market Model (LMM) with a stochastic-volatility extension called SABR-LMM. LMM models a family of forward rates jointly, allowing their correlation structure to inform the pricing of products that depend nonlinearly…

Fixed incomeDerivatives pricingVolatilityStatistics
Quant Q&A

The document explains how to assess completeness in a one-step trinomial stock model with a risk-free bond. An equivalent martingale measure assigns positive probabilities to all terminal states and makes the discounted stock price a martingale. The stock…

StatisticsOptionsDerivatives pricing
Quant Q&A

The document discusses whether QuickFIX is fast enough for an order management system and argues that the answer depends on measured requirements and the full processing architecture. A slow component elsewhere, including network communication, can dominate…

ExecutionMarket microstructureHigh-frequency trading
Quant Q&A

The document explains why the mean of a Black–Scholes log return is (μ − ½σ²)Δt rather than μΔt. Starting from geometric Brownian motion for the asset price, Itô’s lemma yields a log price whose drift includes the negative half variance term. Brownian…

StatisticsDerivatives pricingEquities
Quant Q&A

The document explains the formula (1 − exp(−sT))/s by modeling a bond that pays continuously at a unit rate until maturity or default. With zero interest rates, no recovery, and a flat default intensity equal to the spread, the probability of surviving to…

Fixed incomeDerivatives pricingRisk management
Quant Q&A

The document introduces basis-function selection in Longstaff–Schwartz least-squares Monte Carlo pricing for options on multiple underlyings. In this approach, continuation values are approximated with basis functions during backward induction, which…

OptionsDerivatives pricingBacktesting
Quant Q&A

The document distinguishes precious metals from foreign exchange when describing spot-price dynamics under a risk-neutral measure. In FX, the domestic and foreign interest rates reflect the ability to invest in short-term sovereign instruments in each…

CommoditiesFuturesSpot markets
Quant Q&A

The document asks how to express the value of a European call at an intermediate node of a Cox–Ross–Rubinstein binomial tree. It defines the node by the time step and the number of upward moves, and describes a backward-induction recurrence that discounts…

OptionsDerivatives pricingStatistics
Quant Q&A

The document explains why differentiating the closed-form geometric Brownian motion solution as if it were an ordinary deterministic exponential gives the wrong drift. Because the exponent includes Brownian motion, the appropriate tool is Itô’s lemma, which…

StatisticsDerivatives pricing
Quant Q&A

The question asks whether a bank’s internal probability of default can be calculated from a single set of liquidity, profitability, debt-service, and solvency ratios. The answer says these figures alone are insufficient to produce a calibrated probability. A…

Risk managementStatistics
Quant Q&A

The document examines a spreadsheet that models portfolio wealth with a lognormal distribution derived from expected return and risk, then scales the log-return distribution across multiple years. The resulting wealth distributions spread out over time,…

StatisticsPortfolio constructionRisk management
Quant Q&A

The document asks whether a proposed grocery store meets an accounting profitability hurdle, given its purchase cost, annual revenue and expenses, a ten-year operating period, and full depreciation of the property over that period. The answer focuses on the…

StatisticsRisk management
Quant Q&A

The exchange explains how a deliverable bond moving from general collateral repo to special repo can affect its gross and net basis against a futures contract. Special financing lowers the bond’s carrying cost, which can attract demand and raise its price;…

Fixed incomeFuturesCarry
Quant Q&A

The document raises a theoretical question about a consistency property in the Vanna–Volga method. Starting from a price curve constructed by interpolation and extrapolation across strikes, the cited paper claims that selecting three different strikes on…

OptionsDerivatives pricingVolatility
Quant Q&A

The document shows how to generate joint spot and variance paths from QuantLib's Heston process in Python. It constructs the process from initial variance, mean-reversion, long-run variance, volatility-of-variance, correlation, spot, and rate inputs, then…

OptionsVolatilityDerivatives pricingBacktesting
Quant Q&A

The document asks whether information criteria or divergence measures can guide SABR calibration. The response describes a common rates-market workflow: preset beta, solve alpha to match the at-the-money volatility, then optimize rho and nu against smile…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document examines why a bisection-style search for Black–Scholes implied volatility can fail for a put even when it works for a call. The key diagnosis is that the put price in the example is above the greatest value a European put can reach under the…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The response outlines a pricing approach for an FX-linked payoff when payment is made in a third, quanto currency. It defines the exchange rate with the foreign currency as the numerator and gives its drift under the quanto currency measure. The drift…

ForexOptionsDerivatives pricing
Quant Q&A

The note explains how Treasury issuance and secondary-market trading contribute to observed bond prices and derived yield curves. New issues can trade in the when-issued market before auction, where investors quote yields. At auction, the Treasury sets a…

Fixed incomeUS marketsMarket microstructureStatistics
Quant Q&A

The note distinguishes a portfolio’s Sharpe ratio from its alpha estimated against the Fama–French factors. Sharpe measures excess return relative to total return variability and can help compare portfolios. Alpha is benchmark-relative, so comparisons are…

StatisticsFactor investingRisk management
Quant Q&A

This document explains ways to calculate Macaulay and modified duration when a bond’s remaining maturity is not a whole number of years. One approach uses a bond analytics library to construct a fixed-rate bond with a maturity specified in days, then…

Fixed incomeStatistics