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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 examines the claim that an option’s delta approximates its probability of expiring in the money. In the Black–Scholes framework, the answer connects delta to the risk-neutral probability of an in-the-money expiry, with an adjustment related to…

OptionsDerivatives pricingStatistics
Quant Q&A

The document explains how open interest relates to long and short positions in options and other derivatives. Because each contract has both a long side and a short side, open interest can be counted from either side: the number of open longs equals the…

OptionsDerivatives pricing
Quant Q&A

The document explains how to combine volatility estimates from consecutive periods. If returns across the periods are uncorrelated, their variances add, so the standard deviation over the full two-year span is the square root of the sum of the two annual…

StatisticsRisk managementPortfolio construction
Quant Q&A

The document explains that a ratio of the swap bid–ask spread to the bond bid–ask spread is not a standard bond-versus-swap spread measure. Instead, the appropriate definition depends on the comparison being made and the desired treatment of the bond’s cash…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document addresses how to estimate standard errors for GARCH parameters when fitting the model by maximum likelihood. It points to the Bollerslev–Wooldridge robust inference approach and notes that the fGarch package supports it through its…

StatisticsVolatility
Quant Q&A

The document considers negative spreads produced by sector spread estimates or stressed credit curves, and whether they should be converted to zero default probability. It starts from a simple spread-to-default-probability approximation based on recovery,…

Fixed incomeRisk managementStatistics
Quant Q&A

The document explains how to price a European call under Merton’s jump-diffusion model. A Black-Scholes calculation conditioned on a fixed number of jumps is only one component of the price; the full value averages those conditional prices across all…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document outlines a simple Monte Carlo approach to valuing the wildcard option in Treasury futures. It proposes sampling late-day changes in the cheapest-to-deliver bond during the delivery period, then evaluating each day whether exercising the wildcard…

FuturesOptionsDerivatives pricingRisk management
Quant Q&A

The document considers how to estimate an option’s implied volatility at a target maturity using options observed at nearby expiries. Its response recommends estimating an at-the-money volatility term structure rather than holding an arbitrary strike fixed…

OptionsVolatilityDerivatives pricing
Quant Q&A

The discussion explains that pegged orders do not necessarily retain first-in-queue priority when prices move. Queue handling depends on the exchange’s order type and matching rules; traders should check venue documentation, especially for time priority and…

Market microstructureExecutionHigh-frequency trading
Quant Q&A

The discussion considers how a bond dealer who cannot sell short might adapt a market-making strategy designed for dealers with two-sided inventory flexibility. Its central argument is conditional: if a long-only dealer already holds enough inventory to…

Fixed incomeMarket makingRisk managementPosition sizing
Quant Q&A

The discussion addresses building a daily indicator for which Eurozone government bond is cheapest to deliver against a bond futures contract, for use in a repo-rate panel regression. It gives a Bloomberg Excel history query for the futures CTD identifier…

Fixed incomeFuturesStatisticsBacktesting
Quant Q&A

The discussion asks how to change from a physical probability measure to a risk-neutral measure when an asset follows an additive-noise Ornstein–Uhlenbeck-style process. It distinguishes this specification from geometric Brownian motion, where the diffusion…

Derivatives pricingStatisticsRisk management
Quant Q&A

This discussion considers whether quasi-Monte Carlo (QMC) can help price path-dependent derivatives and how to speed up Monte Carlo simulations. It explains that an option price is an expectation over risk-neutral paths, so QMC can in principle be used to…

OptionsDerivatives pricingStatisticsExecution
Quant Q&A

The document explains why an equity index futures price can be below the expected future level of the index. Under the stated setup, the expected index value reflects investors’ required expected return, while the futures price reflects the risk-free rate…

FuturesEquitiesRisk managementDerivatives pricing
Quant Q&A

The discussion explains that a linear factor asset-pricing model can, in principle, be applied to any asset return, including an individual stock. In practice, single-stock factor betas estimated from time-series regressions can be imprecise because company…

EquitiesFactor investingStatistics
Quant Q&A

In QuantLib, the tenor passed to a Schedule specifies the spacing used to generate dates between the schedule’s start and end dates. The discussion applies this to a floating-rate bond that references quarterly EURIBOR but pays every two months: the index…

Fixed income
Quant Q&A

The document discusses how to estimate the coefficient in a square-root model of equity market impact. Suggested approaches include regressing realized price moves against order size relative to volume, checking a log-log plot for square-root scaling, and…

EquitiesExecutionMarket microstructureStatistics
Quant Q&A

The document explains how an at-market overnight index swap fixed rate is chosen so the swap has zero value at inception. Its floating leg compounds daily overnight rates, while the fixed leg pays the agreed rate according to the contract schedule. Under the…

Fixed incomeDerivatives pricingStatisticsRisk management
Quant Q&A

The post considers lag-one sample autocorrelation in daily stock log returns and asks when its scaled estimator is asymptotically standard normal under a model with normally distributed returns. It seeks a reference for the assumptions that justify this…

EquitiesStatisticsBacktesting
Quant Q&A

The discussion contrasts European call and put prices as maturity changes. It gives an arbitrage argument that, under a positive interest rate, a call with a longer maturity cannot be cheaper than an otherwise identical shorter-dated call: if it were, buying…

OptionsDerivatives pricingArbitrageRisk management
Quant Q&A

The document explains the rate-unit convention for fitting Nelson–Siegel–Svensson curves to spot, forward, or discount rates. Its answer states that rates should be entered as decimals, such as 0.05 for a quoted five percent, rather than as whole percentage…

Fixed incomeStatisticsDerivatives pricing
Quant Q&A

The document clarifies a distributional result for the Cox–Ingersoll–Ross short-rate model. Conditional on the current rate, a scaled future rate has a noncentral chi-square distribution; the rate by itself is not generally described by that same…

Fixed incomeStatisticsDerivatives pricing