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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 explains why a fund that specializes in market making may later operate as an independent business. It identifies Citadel as an example of a firm engaged in market making and describes the activity as potentially profitable on a risk-adjusted…

Market makingRisk management
Quant Q&A

The document proposes a cash-flow accounting framework for the stock market. It lists investors and institutions as sources of investment capital, and dividends, acquisitions, and buybacks as flows back toward shareholders. It places IPO proceeds, share…

EquitiesStatisticsPortfolio construction
Quant Q&A

The document examines the assumption that a small order has negligible influence on market observations and price dynamics. That assumption can make historical backtests easier because the recorded order book or other market data are left unchanged by…

Market microstructureExecutionBacktestingHigh-frequency trading
Quant Q&A

The document explains a measure change used in a derivation of constant-maturity swap convexity. It considers the expectation of a swap rate under a forward measure associated with a bond maturing at the payment date, then rewrites it under an annuity…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document raises questions about whether risk of ruin (ROR), a concept associated with gambling, can describe trading losses and whether a zero probability in a published table means ruin is impossible or merely very unlikely. It also asks how win rate…

Risk managementPosition sizingStatistics
Quant Q&A

The document asks how to interpret a VaR estimate for extreme positive returns after using extreme value theory to model both negative and positive tails. The response distinguishes downside risk from the upper tail: when losses correspond to negative…

Risk managementStatisticsVolatility
Quant Q&A

The document examines how quarterly excess returns on Treasury bills and long-term bonds are calculated in an appendix to a 1988 asset-pricing paper. It describes the maturities involved and asks how the paper’s formulas relate to a direct holding-period…

Fixed incomeRisk managementStatistics
Quant Q&A

The document asks how sums of squared log returns can approximate integrated variance, and why the approximation works even when returns are sampled daily. It distinguishes realized variance, formed by summing squared returns over a sampling grid, from…

VolatilityStatisticsDerivatives pricing
Quant Q&A

The document frames a regulatory validation problem: when a bank using the internal ratings based approach acquires another bank’s loan portfolio, how can it show that its existing probability of default model and risk classes are suitable for the new…

Fixed incomeRisk managementStatistics
Quant Q&A

The document asks whether the US government follows a money-printing policy, how such a policy might be measured, and what drives persistent inflation. The response suggests looking at the monetary base as a measure of currency and bank reserves in…

Fixed incomeStatisticsUS markets
Quant Q&A

The document explains why an institutional customer might use an executing broker even when it already has a prime brokerage relationship. Prime brokers provide a broader package of services and can execute trades, while executing brokers may focus on…

ExecutionMarket microstructureEquities
Quant Q&A

The document contrasts two mathematical characterizations of the perpetual American put discussed in a stochastic calculus text. The analytical treatment describes the option value through partial differential inequalities and linear complementary…

OptionsDerivatives pricingStatistics
Quant Q&A

This question describes a Monte Carlo implementation of the Libor Market Model (LMM) for simulating forward rates before a swaption’s exercise date. The model uses an initial forward curve, a correlation matrix, and time-dependent volatilities, with…

Fixed incomeDerivatives pricing
Quant Q&A

The document proposes a staged way to learn Monte Carlo methods, while emphasizing that the right material depends on the problem. It starts with simple simulations such as dice, coin tosses, estimating areas, and pricing a vanilla option. It recommends…

StatisticsOptionsDerivatives pricingBacktesting
Quant Q&A

The document concerns Monte Carlo valuation of a barrier option when the underlying follows a jump-diffusion process. The question reports a simulated value that differs from the cited paper and jump probabilities that sometimes fall outside the valid…

OptionsVolatilityDerivatives pricingBacktesting
Quant Q&A

The document diagnoses a QuantLib error raised while building a Black variance surface from option implied volatilities. The reported validation requires expiry dates to be unique and arranged in chronological order. In the supplied schedule, one-year expiry…

OptionsVolatilityDerivatives pricing
Quant Q&A

For standard European calls and puts, the document explains why a higher ask price usually implies a higher ask implied volatility than bid implied volatility. The key link is that, holding other inputs constant, these option prices increase as volatility…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document asks whether a derivative can have a payoff that is quadratic in the underlying asset’s price, including a version floored at zero. The responses explain that a bespoke payoff could be requested from a bank, while emphasizing that the buyer…

OptionsDerivatives pricing
Quant Q&A

The document explains why interest deductibility is called a tax shield and how it affects the after-tax cost of debt used in weighted average cost of capital. Its central distinction is between a firm’s lower tax bill and its overall profit: debt creates…

Fixed incomeRisk management
Quant Q&A

The document considers simulating a process formed by adding Brownian motion to a compound Poisson jump process. Its example generates Gaussian Brownian increments with standard deviation scaled by the square root of the time step, then adds potential…

StatisticsVolatility
Quant Q&A

The document asks whether European call prices at a single maturity uniquely determine a time-independent local-volatility function, given that Dupire’s formula ordinarily uses a surface across maturities. One answer cites a result establishing a unique…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document distinguishes the risk-reversal trading strategy from the market convention used to quote a risk reversal on a volatility surface. A risk reversal combines a call and a put, often selected at specified delta points, while the quotation…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document explains why the stock price and the value of interest-bearing cash satisfy the Black–Scholes pricing PDE. The stock itself is a traded asset whose value is the underlying price, while a bank balance grows deterministically at the risk-free…

Derivatives pricingEquitiesFixed income
Quant Q&A

The document compares the spot sensitivities of American and European calls when the stock pays a single dividend before expiry and interest rates are zero. It represents the American call as the expected value of the better choice at the dividend date:…

OptionsDerivatives pricingVolatility