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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 the time decay of a European call differs by time to maturity and moneyness in the Black–Scholes model. With substantial time remaining, the passage of a day generally changes exercise likelihood only modestly, so theta is…

OptionsDerivatives pricingVolatility
Quant Q&A

The document asks whether a trader can sell an instrument other than an option to collect premium and fund a long equity call, while avoiding options tied to the same or a correlated underlying. The answer explains that options generally provide time…

OptionsDerivatives pricingRisk management
Quant Q&A

The document asks why the instantaneous volatility of a simply compounded forward rate is defined through the quadratic variation of its logarithm rather than the rate itself. The response interprets this as percentage volatility: changes in the log of a…

Fixed incomeVolatilityDerivatives pricingStatistics
Quant Q&A

The document introduces the information available in a visible order book: current prices, displayed quantities, and the structure of supply and demand. Its question asks how that information could support arbitrage or manipulation, but the accepted answer…

Market microstructureExecutionArbitrageMarket making
Quant Q&A

The document explains how to distinguish a DV01 hedge ratio from a ratio based on quoted price ticks for Bobl and Euribor futures. DV01 measures the cash change in a contract’s value for a one-basis-point rate move, so dividing the contracts’ DV01s gives a…

FuturesFixed incomeDerivatives pricingRisk management
Quant Q&A

The document discusses what mathematical preparation high-frequency trading may require. One answer emphasizes applied tools such as linear algebra, statistics, time-series analysis, optimization, and sometimes machine learning, while noting that practical…

High-frequency tradingStatisticsMachine learningMarket microstructure
Quant Q&A

The document explains why a fixed-maturity zero-coupon bond is not locally risk-free even when its promised cash flow is known. In a one-factor short-rate model, the money account earns the prevailing short rate through continuous rollover, while a term…

Fixed incomeDerivatives pricingRisk managementStatistics
Quant Q&A

The document describes how to construct the Fama–French short-term and long-term reversal factors from six value-weighted portfolios. For each factor, stocks are sorted monthly into two size groups using the NYSE median market equity breakpoint and three…

EquitiesFactor investingMean reversionPortfolio construction
Quant Q&A

The document explains how to build a simplified exchange execution simulator for backtesting. It recommends using historical order book snapshots or updates to estimate fills: a market order consumes available depth until its requested quantity is filled,…

ExecutionMarket microstructureBacktestingEquities
Quant Q&A

The document asks how to estimate monthly stock volatility when only about a month of daily closing prices is available. Its answer uses the standard square-root-of-time scaling under an assumption that daily log returns are independent and identically…

EquitiesStatisticsRisk management
Quant Q&A

The document asks whether VWAP and TWAP can be combined into a more general benchmark, suggesting an exponentially decayed volume-weighted price as one possible construction. The answer reframes the problem: TWAP can be viewed as VWAP after changing the time…

ExecutionMarket microstructureStatistics
Quant Q&A

The accepted answer explains “flow” interest rate trading as trading in standardized, liquid products that are relatively easy to value and trade frequently. Examples span sovereign and corporate bonds, overnight index swaps, interest rate swaps, caps,…

Fixed incomeDerivatives pricingMarket microstructure
Quant Q&A

The document asks how implied correlation is calculated for collateralized debt obligation tranches under a Gaussian copula framework. It proposes first calibrating a common default probability across the portfolio, then fitting a correlation parameter to…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The answer explains how a delayed swap payment should be handled when a payment date shifts because of the calendar. If the final floating accrual period is extended by two days, the floating rate and interest payment should reflect the added accrual under…

Fixed incomeDerivatives pricingRisk managementMarket microstructure
Quant Q&A

The response proposes using programming and financial data skills to study market risk through equity index options. It describes an approach associated with Ian Martin: use prices from a small portfolio of European options on the S&P 500 to infer the…

OptionsEquitiesVolatilityDerivatives pricing
Quant Q&A

The document considers whether central bank intervention makes an inverted yield curve a weaker or stronger recession signal. The questioner reasons that keeping short-term rates low should make inversion harder to achieve, so an inversion might be more…

Fixed incomeUS marketsStatistics
Quant Q&A

The document asks how to compute the hindsight-optimal sequence of holdings across a universe of stocks when an investor can trade daily, compounds returns, pays transaction fees, and cannot short. It considers dynamic programming and presents an attempted…

BacktestingPortfolio constructionPosition sizingStatistics
Quant Q&A

The document raises a corporate finance question about how to include a new debt issue in the weighted average cost of capital when a company already has debt and equity. It gives an example with two debt tranches carrying different pre-tax borrowing costs,…

Fixed incomePortfolio construction
Quant Q&A

The document describes a strategy using 30-second bars on E-mini S&P 500 futures that performed well in backtests and walk-forward tests but lost in live simulation because small execution-price differences erased its edge. The question asks whether…

FuturesExecutionMarket microstructureBacktesting
Quant Q&A

The document explains why a positive Sharpe ratio calculated from arithmetic returns does not guarantee that compounded wealth will rise. In the example, the average daily return is positive, yet multiplying the daily growth factors produces a loss over the…

StatisticsRisk management
Quant Q&A

The document discusses how to reproduce Excel's bond YIELD calculation with QuantLib. QuantLib's bond yield method takes a target price, day-count convention, compounding convention, and coupon frequency, while settlement, maturity, coupon schedule,…

Fixed incomeDerivatives pricingStatisticsBacktesting
Quant Q&A

The document poses an identity for three equivalent probability measures and a sub-sigma-algebra: the density of one measure relative to another, restricted to the smaller information set, factors through a third measure. This kind of relationship is useful…

StatisticsDerivatives pricing
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 the practical limits of timestamp precision in stock market data, distinguishing timestamp resolution from the frequency of actual trades and quote updates. Nanosecond timestamps are used by specialized data providers and can help order…

EquitiesHigh-frequency tradingMarket microstructureBacktesting