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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
Quantpedia
86 documents
TqSdk
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
Quantopian lectures
45 documents
Binance API docs
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

This note considers how to model future spot when log returns are assumed to follow a Student-t distribution rather than a Gaussian one. It highlights a key theoretical problem: the Student-t distribution lacks a moment-generating function, so the…

ForexStatisticsDerivatives pricing
Quant Q&A

This note derives the delta of a European cash-or-nothing call that pays when the terminal asset price exceeds a strike. Under the Black–Scholes framework, the option value is the discounted probability of finishing above the strike, and differentiating it…

OptionsDerivatives pricingRisk management
Quant Q&A

This note explains why a delta-hedged position that is short options can lose when the underlying price moves. A zero net delta at the hedge point describes the position’s immediate sensitivity; it does not mean the option price falls when spot rises. For a…

OptionsDerivatives pricingRisk management
Quant Q&A

This note examines when a floating rate note (FRN) prices at par and how its rate exposure depends on the relation between its coupon index and discount curve. With matching forecast and discount curves, the floating coupons telescope against the discounted…

Fixed incomeDerivatives pricingRisk management
Quant Q&A

The document explains what a strip of Eurodollar futures can imply when its quarterly rates are compounded over a one-year period. The resulting rate represents a December-starting one-year compounded three-month LIBOR forward, and is closely related to a…

Fixed incomeFuturesDerivatives pricing
Quant Q&A

The document considers how to estimate a stochastic process value between two simulated time-grid points for an SDE with drift and diffusion. Straight-line interpolation may give an intermediate value, but it does not preserve the process’s random evolution.…

StatisticsBacktesting
Quant Q&A

The document explains how the risk-aversion coefficient in mean-variance utility affects portfolio choice. A low coefficient places less weight on variance and permits greater risk exposure; a high coefficient penalizes risk more heavily. Varying the…

Portfolio constructionRisk managementBacktesting
Quant Q&A

The document describes a proposed liquidity-adjusted asset pricing analysis using monthly turnover, defined as average daily volume relative to shares outstanding. Because the measure is persistent, the author plans to model each stock's liquidity with an…

EquitiesFactor investingStatisticsPortfolio construction
Quant Q&A

The document asks how to obtain a Green's function for zero-coupon bond pricing under the Vasicek short-rate model. It gives a pricing partial differential equation with a market price of risk adjustment and compares it with the forward Fokker–Planck and…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document presents a portfolio measurement problem involving two funds with different valuation schedules and cash-flow rules. One fund is valued monthly, allows cash flows only at month-end, and can use time-weighted returns. The other is valued…

Portfolio constructionStatisticsRisk management
Quant Q&A

The document derives the dynamics of a short-rate process whose definition includes both a deterministic time integral and an Itô integral. The key step is to name the stochastic integral as a process, then express the rate as a function of time and that…

Fixed incomeStatistics
Quant Q&A

The document examines a backward adjustment factor used to account for cash dividends in historical equity prices. It asks whether multiplying pre-ex-date prices by a factor based on the dividend and the price immediately before the ex-date preserves total…

EquitiesStatistics
Quant Q&A

The document explains why a trader who steps ahead of a large displayed buy order may have value even when a rising market leaves the trader unfilled. It separates the upward-price scenario into three cases: the order fills before prices rise, fills only…

EquitiesMarket microstructureExecution
Quant Q&A

The document raises a methodology question about selecting near- and next-term options when calculating intraday CBOE VIX values under the post-2014 maturity rules. It describes the eligible terms as more than 23 and fewer than 37 days to expiration. As time…

OptionsVolatilityMarket microstructure
Quant Q&A

The document asks whether portfolio plots built from combinations of several stocks are plausible and why they show few portfolios with both low returns and high standard deviation. The portfolios use weekly return and volatility estimates, with the asset…

Portfolio constructionRisk managementEquities
Quant Q&A

The document considers a Kolmogorov–Smirnov test applied to returns from simulated geometric Brownian motion. The question describes simulating many terminal asset prices, converting them to returns, fitting distribution parameters, and testing the returns…

StatisticsBacktesting
Quant Q&A

The document explains how to convert an annually compounded interest rate into the continuously compounded rate used in the Black–Scholes model. Equating the accumulated value under each convention over the same time horizon gives the conversion: take the…

OptionsDerivatives pricingFixed income
Quant Q&A

The document explains two ways to express a return over multiple years as an annual figure. With annualized linear returns, the total return over the period is divided by the number of years. With compound annual growth rate (CAGR), the annual rate is the…

StatisticsEquities
Quant Q&A

This exchange challenges the claim that a Constant Maturity Swap keeps a company’s debt duration near the tenor of its CMS index throughout the life of the trade. CMS names the rate used to reset a leg, such as the prevailing five-year swap rate; it does not…

Fixed incomeDerivatives pricingRisk management
Quant Q&A

This discussion examines the commonly used SABR at-the-money volatility approximation that keeps only the leading term, alpha divided by the forward price raised to one minus beta. The fuller Hagan expression includes correction terms involving expiry, the…

OptionsVolatilityDerivatives pricing
Quant Q&A

This exchange explains how to bootstrap an EONIA curve in QuantLib-Python with a reference date that stays fixed when the evaluation date changes. The proposed solution is to use the `PiecewiseLogCubicDiscount` constructor that accepts an explicit reference…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document asks how to compare two models that produce probability distributions for future returns. One proposed method is to add the probabilities assigned to observed outcomes, but the response instead evaluates the joint likelihood of the realized…

StatisticsBacktestingMachine learning