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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
WonderTrader
14 documents
Alphalens
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

21,023 documents

Quant Q&A

The document clarifies why dividing a semiannual coupon by the actual number of calendar days in a coupon period does not calculate accrued interest under a 30/360 convention. That approach uses actual dates and actual period length, resembling an…

Fixed incomeStatistics
Quant Q&A

The document poses a stochastic-process question about a process that starts above zero, drifts downward at a constant rate, and has volatility proportional to its current level while positive. Once it reaches zero, it is held there. The central questions…

StatisticsRisk management
Quant Q&A

The document raises a fixed-income question about why discount factors for the same maturity and market date differ when one is reported using LIBOR conventions and another using continuous compounding. It cites two tables from a reference text and notes…

Fixed incomeStatistics
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

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 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 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 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 discussion examines limits of Sharpe-style returns-based analysis when fund exposures shift, especially for long-short strategies or data at daily and finer frequencies. Suggested alternatives include Lasso to shrink factor coefficients, Bayesian…

Factor investingStatisticsMachine learning
Quant Q&A

The document asks how to infer shorter-maturity annualized spot rates from a sparse set of observed term-structure points. It gives three observations at maturities of three, six, and nine months, then asks for rates at two and four months and whether a…

Fixed incomeStatistics
Quant Q&A

The document clarifies the notation u∧t that appears in a covariance integral while deriving the Vasicek model. It means the minimum of the two arguments: for example, when s is earlier than t, s∧t equals s. This is the same minimum-time structure used in…

Fixed incomeStatistics
Quant Q&A

The document explains how covariance between two currency-rate returns can be inferred when a third rate is related to them through a currency triangle. In log terms, the cross rate is represented as the sum or difference of the two component rates,…

ForexStatisticsDerivatives pricing
Quant Q&A

The document explains why a simple unilateral credit valuation adjustment for an option must combine the option’s future value with the counterparty’s probability of default. The suggested discretized calculation averages discounted expected exposure at…

OptionsDerivatives pricingRisk managementStatistics
Quant Q&A

The document addresses how to test whether two indicators help explain a time series of returns when the indicators may be autocorrelated or nonstationary and a VAR analysis has not produced significant results. Its proposed starting point is a linear…

StatisticsBacktestingTechnical indicators
Quant Q&A

The document responds to a request for credible examples of machine learning in quantitative finance. It emphasizes that machine learning methods are general-purpose tools that can be applied to financial, economic, or other data, while noting that many…

Machine learningRisk managementStatistics
Quant Q&A

The document asks why markets appear to respect Fibonacci retracement levels and connects that question to broader beliefs about market cycles and the possibility of a recession after a long advance. It gives no data, testing method, or examples showing that…

Technical indicatorsMarket microstructureStatistics