Skip to content

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 asks how to combine many statistically significant in-sample signals and whether historical covariance with mean-variance optimization is the best approach. Its answer offers a portfolio-balance intuition: add an asset or alpha exposure while…

Portfolio constructionStatisticsRisk managementFactor investing
Quant Q&A

The document examines unusually distant, persistent quote levels in one day of AAPL TAQ data. The accepted explanation links the venues shown to inverted pricing, where makers pay fees and takers receive rebates, and attributes the observed gaps to temporary…

EquitiesMarket microstructureHigh-frequency tradingUS markets
Quant Q&A

The document compares Interactive Brokers demo and personal paper-trading accounts for testing Trader Workstation API applications. Demo accounts provide simulated data and can help check connectivity or exercise account types, but the answers describe…

ExecutionMarket microstructureBacktestingFutures
Quant Q&A

The note distinguishes the distribution of regression errors from the sampling distribution of estimated coefficients. It explains that OLS does not require normally distributed errors to estimate coefficients, while heteroskedasticity and autocorrelation…

StatisticsEquitiesRisk management
Quant Q&A

The document describes how collateral currency affects discounting when the payment currency differs. For a USD cash flow collateralized in EUR, one approach is to use a USD discount curve adjusted by the cross-currency basis. The answer illustrates this by…

Fixed incomeForexArbitrageDerivatives pricing
Quant Q&A

The note explains how to estimate an American put’s early exercise boundary when using Longstaff–Schwartz least squares Monte Carlo (LSM). Its central method is to compare the option value at neighboring underlying-price nodes with the value from exercising…

OptionsDerivatives pricingStatistics
Quant Q&A

The document addresses a Bloomberg settings question about valuing interest-rate caps and floors when the model is labeled Black-Scholes-Merton and volatility is set to Normal. The response says those choices are not combined: Bloomberg changes the settings…

OptionsFixed incomeVolatilityDerivatives pricing
Quant Q&A

The document compares two ways to express a foreign exchange carry trade. In the funded version, an investor borrows in a lower-rate currency and invests in a higher-rate currency; the resulting return reflects both the exchange-rate move and the difference…

ForexCarryDerivatives pricing
Quant Q&A

The document explains how foreign exchange volatility surface expiries are dated relative to currency settlement conventions. It distinguishes weekly tenors, which are counted from the current date, from monthly and yearly tenors, which are counted from the…

ForexVolatilityOptions
Quant Q&A

The document addresses why a put-call ratio may convey sentiment even though every options trade has both a buyer and a seller. Its answer focuses on which side is more motivated to initiate a position: it cites a claim that put buyers may be especially…

OptionsSentimentStatistics
Quant Q&A

The document asks how to interpret VVIX, an index representing the market’s expected volatility of VIX, and compares two informal explanations. One describes volatility of volatility as uncertainty about how the size of daily price moves may change. The…

VolatilityOptionsUS markets
Quant Q&A

The document asks whether a regression coefficient reported as significant at the 5% level can still be treated as significant when the model has persistent heteroskedasticity. It notes that attempts to address the issue with Box-Cox transformations and…

Statistics
Quant Q&A

The document considers whether a paired samples t test can assess the difference in average returns between an unscaled series and returns multiplied by time-varying portfolio weights. The weights depend on recent volatility and target a chosen portfolio…

StatisticsVolatilityRisk management
Quant Q&A

The document describes estimating a hedge ratio for a pairs trading spread from two aligned price series. Ordinary least squares regresses one security’s prices on the other, and the fitted slope is used to scale one leg when calculating the spread. A Java…

Pairs tradingEquitiesStatistics
Quant Q&A

The document explains two influences on bond performance: changes in interest rates and shifts in credit spreads. When economic conditions improve, riskier high yield bonds may fare better relative to investment grade bonds as their credit spread narrows; in…

Fixed incomeRisk management
Quant Q&A

The document asks what “General IB2 Restriction” means in a description of Basel II credit risk approaches. The response interprets IB as Islamic banking and explains that unrestricted investment deposit holders share some investment risk, which can affect…

Risk managementFixed income
Quant Q&A

A Bermudan option can be exercised on several specified dates. Its value is not generally the highest value among European options with matching individual exercise dates. Taking that maximum amounts to choosing a single exercise date at the outset and…

OptionsDerivatives pricingVolatility
Quant Q&A

Portfolio beta is calculated as the weighted sum of the constituent assets’ betas. If the assets have positive betas, a portfolio made only of long positions generally has positive beta; combining long and short weights can offset those exposures and bring…

EquitiesPortfolio constructionRisk management
Quant Q&A

The discussion surveys optimization software that C# developers might use instead of implementing algorithms themselves. Suggestions include general numerical libraries and tools for linear, integer, and mixed optimization, along with options to call…

Statistics
Quant Q&A

The document derives the deterministic stock-price formula from the differential equation that results when uncertainty is removed from a proportional price process. Starting with the rate of change in price proportional to the current price, it writes the…

EquitiesStatistics
Quant Q&A

The document addresses unstable Heston model calibration: very large mean-reversion and volatility-of-volatility parameters can fit a volatility surface well even when the values lack a plausible market interpretation. It notes that stochastic-volatility…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document explains how to read implied volatility quotes for a one-year-into-five-year SOFR swaption under Bachelier and Black conventions. In the normal model, a quoted volatility of 136 corresponds to a one-year standard deviation of about 1.36…

Fixed incomeOptionsVolatilityDerivatives pricing
Quant Q&A

This document discusses which price series should be used to estimate volatility for the Black model and whether volatility needs to be annualized. The responses emphasize matching the volatility estimate to the instrument used for hedging: a hedge based on…

OptionsVolatilityDerivatives pricingFutures
Quant Q&A

The document examines the Greeks of a forward variance swap built from two spot-starting variance swaps. It questions how the position can have approximately zero dollar gamma and declining vega while still carrying theta. The response distinguishes model…

OptionsVolatilityDerivatives pricing