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 explains why historical price data returned by R’s quantmod and tseries download functions retain dates as an index rather than as a regular column. The returned objects are matrices, which can hold only one data type; mixing a Date value with…

EquitiesStatistics
Quant Q&A

The discussion explains how several Heston model parameters affect the shape and level of the implied volatility curve. It focuses on producing a symmetric smile rather than a skewed smirk. The answer identifies correlation between the asset and its variance…

OptionsVolatilityDerivatives pricing
Quant Q&A

The discussion explains possible routes to real-time forex data over FIX and why access may be difficult to obtain cheaply. It describes FX as an interbank market where a firm typically connects through chosen banks, while noting that banks may offer FIX for…

ForexExecutionMarket microstructure
Quant Q&A

The discussion addresses how to decide whether a predictive model has too many explanatory variables, especially when adding variables keeps improving in-sample fit. The answers emphasize that there is no universal cutoff. One warning sign is…

StatisticsMachine learningBacktesting
Quant Q&A

The discussion asks how a convex implied volatility smile relates to high kurtosis and the expected returns of options across strikes. Its answer says that assuming constant implied volatility alongside a symmetric, fat-tailed underlying distribution can…

OptionsVolatilityArbitrageDerivatives pricing
Quant Q&A

The document asks how to estimate a stock’s price sensitivity to an earnings surprise when studying post-earnings announcement drift. It considers expected price-to-earnings ratios as a rough proxy for the price response to earnings, while noting that this…

Event-drivenOptionsVolatility
Quant Q&A

The document addresses which S&P 500 options determine the settlement value of VIX futures with expirations beyond the nearest contract. It explains that each VIX future references the option maturity that will be the front month when that future expires. As…

FuturesOptionsVolatility
Quant Q&A

The document explains how target expected return serves as an input to mean–variance portfolio optimization and discusses its attainable range under different weight constraints. With short selling allowed and unrestricted borrowing, the response describes…

Portfolio constructionStatisticsRisk management
Quant Q&A

The document clarifies the difference between instantaneous variance in the Heston model and the variance of cumulative log returns over a fixed horizon. In the model, the variance process describes local log-return variance; it should not be read as the…

StatisticsVolatilityBacktesting
Quant Q&A

The document considers what Treasury desks can monitor as a successor to the LIBOR–OIS spread for assessing stress in interbank lending. It distinguishes SOFR, a Treasury-collateralized benchmark with little direct bank credit exposure, from unsecured…

Fixed incomeRisk managementStatistics
Quant Q&A

The document describes a simple linear interpolation for estimating an initial stub rate in a floating-rate note or swap. Given one-month and two-month reference rates, it weights the difference between them according to where the stub period falls between…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document surveys proposed uses of social media and online discussion data in trading. Suggested signals include investor attention, the popularity of individual stocks, shifts in discussion volume, and changes in sentiment. One cited behavioral…

SentimentEquitiesVolatilityEvent-driven
Quant Q&A

This document clarifies the difference between a floating-rate bond’s contractual coupon spread and its z-spread. The coupon spread is generally specified when the bond is issued and determines the payment added to the reference rate. The z-spread, by…

Fixed incomeRisk managementDerivatives pricing
Quant Q&A

The question concerns fitting a geometric Brownian motion model to historical stock prices, simulating future paths, and averaging those paths to create a forecast. The responses explain that the ensemble mean follows the model’s expected price path, while…

EquitiesStatisticsVolatilityBacktesting
Quant Q&A

This document is a community-sourced reading list of influential work in quantitative finance, with emphasis on portfolio management and asset pricing since 2000. Suggested topics include covariance shrinkage, robust optimization, estimation with many…

Portfolio constructionRisk managementStatisticsFactor investing
Quant Q&A

The document asks how to classify leveraged currency-pair positions offered by retail FX brokers under the CFI instrument taxonomy. It observes that these positions are generally not settled by delivering the full currency notional, which complicates…

ForexDerivatives pricingMarket microstructure
Quant Q&A

The note explains the lower bound on an American call’s continuation value: it must be at least the payoff available from exercising immediately. The comparison is made using the stock price at the exercise time, not the stock’s eventual price. If immediate…

OptionsDerivatives pricingArbitrage
Quant Q&A

The note considers why a target call delta may fail to produce a strike in a dividend-paying Black–Scholes setting. With continuous dividend yield, call delta is bounded above by the discount factor for dividends, so a target above that bound cannot be…

OptionsDerivatives pricingVolatility
Quant Q&A

The note examines whether the reciprocal of a stock price can be treated as a traded asset under geometric Brownian motion. Applying Itô’s lemma to the discounted reciprocal shows that, under the stock’s risk-neutral measure, it retains a drift unless the…

Derivatives pricingOptionsStatistics
Quant Q&A

The document explains that long-term government yields combine expected future short rates with a term premium. Forward rates are derived from the yield curve through arbitrage relationships, so they also combine those components; a forward rate alone does…

Fixed incomeDerivatives pricingRisk managementStatistics
Quant Q&A

The document gives an intuitive interpretation of the mean-reversion parameter in Vasicek- or CIR-style interest rate models. It relates the parameter to the time needed for a rate to close half the distance between its current level and its long-run…

Fixed incomeMean reversionStatisticsDerivatives pricing
Quant Q&A

The document distinguishes valuation of an existing interest rate swap from the pricing of a newly executed swap between coupon dates. For an existing swap, its contractual cash flows are valued in full when calculating the amount for termination or buyout.…

Fixed incomeDerivatives pricing
Quant Q&A

The document explains why an equivalent martingale measure (EMM) is used in pricing theory. Under the stated one-period setup, a pricing measure must be a probability measure and must make discounted portfolio values satisfy the martingale condition.…

Derivatives pricingStatisticsArbitrage
Quant Q&A

The document addresses how to learn what market moves may imply, using higher swap rates as an example. It argues that “market situations” span too many instruments and causes for one book to explain them comprehensively. A useful starting point is to study…

Multi-assetFixed incomeStatistics