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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

20,364 documents

Quant Q&A

The document considers whether counterparty risk invalidates the Black–Scholes hedging argument. It distinguishes listed options, where central clearing and collateral arrangements are intended to mutualize or mitigate default exposure, from over-the-counter…

OptionsRisk managementDerivatives pricingMarket microstructure
Quant Q&A

The document explains why forward prices can matter to option valuation even when a Black–Scholes formulation is written using spot and an interest rate. For equities, no-arbitrage cash-and-carry reasoning connects spot, funding, dividends, and the forward…

OptionsFuturesDerivatives pricingArbitrage
Quant Q&A

When calibrating an option pricing model across several maturities, the risk-free input should come from securities whose prices primarily reflect interest rates, rather than being chosen to fit the options themselves. The answer recommends building a…

OptionsDerivatives pricingFixed income
Quant Q&A

The discussion checks whether a forecasting routine uses the correct observation for a one-step-ahead AR(1) conditional mean forecast. Its answer clarifies the time indexing: when the latest observed sample is at time t−1 and the forecast target is time t,…

StatisticsMachine learning
Quant Q&A

The document considers how to quantify liquidity in listed equity, index, and ETF options for scanning or analysis. It recommends looking beyond contract volume to bid–offer spreads, option notional traded, changes in quotes relative to movements in the…

OptionsMarket microstructureExecution
Quant Q&A

Finite difference methods are not limited to parabolic partial differential equations such as the heat equation. The answer explains that they are also routinely used for hyperbolic equations, including first- and second-order wave equations, and for…

Statistics
Quant Q&A

The document describes a thesis analysis using randomly selected stocks grouped into portfolios and asks why estimated Fama–French three-factor betas, especially SMB and HML, have p-values above 0.05. The proposed workflow constructs SMB and HML portfolios…

EquitiesFactor investingStatisticsPortfolio construction
Quant Q&A

The document asks why a multi-curve framework remains necessary after the transition from LIBOR to overnight risk-free rates. It outlines a common intuition: an OIS curve built from SOFR swaps can serve as the discount curve, and the quoted swap rates might…

Fixed incomeDerivatives pricing
Quant Q&A

The document defines IMM dates as the third Wednesday of March, June, September, and December, then gives an Excel date formula for generating the next quarterly date from a starting date. The formula advances three months, finds the first Wednesday in the…

FuturesOptions
Quant Q&A

The document explains how to estimate the opportunity cost of receiving a cash flow late when the stated annual rate uses an actual/actual day-count basis. For a delay shorter than the annual compounding period, it applies simple interest: multiply the…

Fixed incomeStatistics
Quant Q&A

The discussion asks how to construct a discrete-time counterpart to a continuous diffusion whose state remains between zero and one. A direct update using normal noise may leave the interval because Gaussian increments are unbounded. One response proposes a…

StatisticsRisk managementBacktesting
Quant Q&A

The document explains the phrase “no shorts left” in a market commentary passage describing an increasingly bullish market. In this context, shorts are investors holding positions that benefit from falling prices, reflecting a negative market outlook. The…

EquitiesSentimentOptions
Quant Q&A

The document clarifies a leverage example involving a home purchase financed partly with a mortgage. The question contrasts a four-to-one ratio based on the loan amount relative to the buyer’s cash contribution with a five-to-one ratio based on the total…

Fixed incomeRisk management
Quant Q&A

The discussion explains why factor risk contributions may not add up to a portfolio regression’s R-squared when a portfolio contains multiple instruments. Aggregating each instrument’s factor betas by portfolio weight can produce exposures, but the resulting…

EquitiesFactor investingStatisticsPortfolio construction
Quant Q&A

The document explains why cointegration among asset prices does not necessarily conflict with market efficiency. Market efficiency concerns whether future returns can be predicted reliably from available information, while cointegration describes a stable…

StatisticsPairs tradingEquities
Quant Q&A

The document values an option to reroll a fair six-sided die when the player may keep the first result or replace it with a second roll. The decision rule is to reroll when the first outcome is below the expected value of a fresh roll, and otherwise stop.…

OptionsStatisticsDerivatives pricing
Quant Q&A

The document clarifies a misconception about path dependence in binomial option pricing. Backward induction through time does not itself mean the model represents the full sequence of market states along a path. A tree compresses information into states that…

OptionsDerivatives pricingStatistics
Quant Q&A

The document considers a seller of a swaption who delta-hedges once per day and asks what share of daily theta decay remains as profit when the underlying rate move is smaller than a stated breakeven move. The proposed fraction is one minus the squared ratio…

OptionsDerivatives pricingRisk management
Quant Q&A

The document asks whether an at-the-money SPX put spread has an edge over a same-width call spread because the put spread's stated reward-to-premium ratio is higher. It frames the comparison as a roulette game with different payouts but supposedly equal…

OptionsDerivatives pricingUS markets
Quant Q&A

The document asks whether spot price can be calculated directly from a target option delta when strike, expiry, volatility, rates, and other inputs are known. It discusses Black–Scholes and Bjerksund–Stensland models, which provide option prices and Greeks…

OptionsDerivatives pricingStatistics
Quant Q&A

The document presents a failed calibration of the raw SVI total-variance parametrization for a single options maturity. The example converts market implied volatilities to total variance, computes forward log-moneyness, and minimizes squared fitting error…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document collects several answers to whether the central limit theorem justifies treating asset returns as normally distributed. A core distinction is that the standard theorem describes the distribution of standardized sample means under assumptions…

StatisticsEquitiesPortfolio construction
Quant Q&A

The document describes an exploratory analysis of one-minute XAUUSD log returns over a long historical sample, compared with fitted normal and Student-t distributions. It raises questions about irregular density peaks, a pronounced concentration near zero,…

ForexCommoditiesStatisticsMarket microstructure
Quant Q&A

The document discusses an interview prompt asking what to do with a large capital allocation over either a multi-year horizon or a few days. One response frames the problem as maximizing expected return over the available horizon, with the idea that a longer…

Market makingRisk managementPosition sizing