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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 answer describes how to derive a forward rate from a simulated Hull–White short-rate path. At each simulated future time, use the current short rate in the model’s zero-coupon bond pricing expression, with the model’s time-dependent A and B terms, to…

Fixed incomeFuturesDerivatives pricing
Quant Q&A

The exchange clarifies that CME’s term SOFR figures are not simply another observation of the overnight rate. They are forward-looking term rates implied by trading in SOFR futures. This explains why the benchmark page can show rates for horizons such as six…

Fixed incomeFutures
Quant Q&A

The discussion shows that the number of stocks worldwide depends on how the universe is defined and which source is used. It cites MSCI global index factsheets as a way to estimate investable coverage: one broad index included large, mid, small, and micro…

EquitiesMulti-assetBacktesting
Quant Q&A

The discussion explains why researchers normalize financial data: transformations can make measurements from different assets or return series more comparable and can simplify some mathematical or computational tasks. It emphasizes choosing a method to fit…

StatisticsMulti-asset
Quant Q&A

The document raises a question about constructing a variance-swap replication portfolio from options. It describes an apparent jump in implied volatility when the option wing switches from puts below a strike to calls above it. The quoted explanation is that…

OptionsVolatilityDerivatives pricingMarket microstructure
Quant Q&A

The document investigates whether an FX option’s time to expiry in an at-the-money delta-neutral strike calculation includes hours and minutes or counts only whole days. It applies the standard forward-based strike formula to a one-day example, using the…

ForexOptionsVolatilityDerivatives pricing
Quant Q&A

The document reconciles several formulations of Durrleman’s condition for preventing butterfly arbitrage in an implied volatility surface. It explains how expressions differ when volatility is represented as raw volatility, total volatility, or total…

OptionsDerivatives pricingVolatilityArbitrage
Quant Q&A

The document compares ways to choose the drift parameter in a recombining binomial tree. It describes the Cox–Ross–Rubinstein construction, which uses symmetric log-price steps, and an alternative that adds a fixed drift to the up and down multipliers. It…

OptionsDerivatives pricingBacktesting
Quant Q&A

The document asks how to price a one-year call when a stock can move to either of two values, given a risk-free rate and equal real-world probabilities. It uses a one-step binomial model: calculate the call payoff in each state, form a replicating hedge, or…

OptionsDerivatives pricing
Quant Q&A

The document examines whether returns should be normalized after converting price observations into returns. The questioner notes that returns are already relative changes and asks what further normalization by a measure of prior performance accomplishes,…

StatisticsEquities
Quant Q&A

The document asks why volatility models often treat out-of-the-money calls and puts as a group even though their implied volatilities can differ. It identifies liquidity as a reason for focusing on OTM contracts and notes that OTM puts commonly carry higher…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document explores whether financial asset fungibility is an all-or-nothing property or can depend on selected attributes. It uses hypothetical digital currency tokens to illustrate how issuer, currency symbol, decimal precision, and encumbrances might…

Fixed incomeMarket microstructureCrypto
Quant Q&A

The document explains how Vasicek’s single-factor model uses a shared economic variable and firm-specific residual risk to represent default. A firm defaults when its latent asset variable falls below a threshold. The unconditional probability of default…

Fixed incomeStatisticsRisk management
Quant Q&A

The document clarifies how gross basis relates a bond’s cash price to a bond futures contract. It gives the relationship as bond price minus futures price multiplied by the bond’s conversion factor. This frames gross basis as the difference between the bond…

Fixed incomeFuturesDerivatives pricing
Quant Q&A

The document asks why an American call on a stock paying continuous dividends has a finite stock price above which early exercise is optimal. It contrasts the option’s value, which cannot fall below intrinsic value, with the possibility that the two values…

OptionsDerivatives pricing
Quant Q&A

The document asks how to interpret the Hansen-Jagannathan bound, which relates the volatility of a stochastic discount factor to the Sharpe ratio of excess returns. The question focuses on constructing a lower bound on discount-factor volatility when its…

StatisticsRisk managementPortfolio construction
Quant Q&A

The document raises a question about why short-term Treasury bill rates are used in research to forecast the equity premium, while acknowledging that their predictive significance is disputed. It asks whether the rate might reflect firms’ borrowing costs and…

EquitiesFixed incomeStatistics
Quant Q&A

The document asks why correlations, regression coefficients, and R-squared change when monthly observations are expanded into daily observations using linear interpolation. Its central point is that the computed correlation depends on the observations…

StatisticsBacktesting
Quant Q&A

The document compares a two-outcome Kelly formula, expressed using win and loss payoffs, with the approximation that relates the optimal fraction to expected return divided by return variance. It asks why the variance term does not appear to match the payoff…

Position sizingRisk managementStatistics
Quant Q&A

The document asks how to infer zero-coupon discount factors from clean and dirty prices of coupon bonds with annual coupons and staggered maturities. It proposes expressing a bond's dirty price as the sum of its coupon and principal cash flows, each…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document discusses maintaining interest rate curves built from swap and other market data, with particular attention to calibration failures and kinks. It recommends keeping user-adjustable configuration manageable, supported by instrument symbology and…

Fixed incomeDerivatives pricingRisk management
Quant Q&A

The document explains how to convert a perturbative approximation for a vanilla call's equivalent Black volatility into an expansion centered at the midpoint between the current forward and strike. The original approximation expands the local volatility…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document describes a daily-rolled backtest of EURUSD options using one-month and two-month straddles, 25-delta risk reversals, and 25-delta butterflies. Each position is held for one trading day, with the next day's valuation using the full volatility…

ForexOptionsVolatilityBacktesting
Quant Q&A

The document works through the present value of an annuity due over twelve years when payments are made in four installments per year and the annual interest rate is 2%. The replies clarify the assumptions needed to interpret the problem: each annual payment…

Fixed incomeStatistics