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
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

8,116 documents

Quant Q&A

The discussion explains why the relationship between an underlying asset’s spot price and its implied volatility skew can vary across markets and regimes. Downside option demand may remain strong even as a stock rallies when credit protection is unavailable,…

OptionsVolatilityStatistics
Quant Q&A

The question derives a call-price expression from Black-Scholes delta and rho, and asks whether two Greeks can really determine the option price. The accepted response explains that, with the underlying price, strike, time, and the model assumptions already…

OptionsDerivatives pricingStatistics
Quant Q&A

The document outlines a framework from Brian Johnson’s book on earnings volatility and asks whether its Excel calculations can be recreated in Python. The described workflow estimates the earnings volatility embedded in option prices, compares historical…

EquitiesOptionsVolatilityEvent-driven
Quant Q&A

The note explains how to represent liquidity in options using the bid–ask spread. A wider spread indicates lower liquidity, while a narrower spread indicates higher liquidity. The spread can be measured in price units or converted into implied volatility…

OptionsVolatilityMarket microstructureStatistics
Quant Q&A

The document explains how corporate actions affect single-stock futures and options. It distinguishes stock splits, which are handled through contract adjustments, from dividends, which can change the market value of the underlying shares and therefore the…

EquitiesFuturesOptionsDerivatives pricing
Quant Q&A

The discussion asks why volatility swaps require modeling volatility of volatility, how a variance-swap strike relates to a volatility-swap strike, and how to estimate the convexity adjustment. One answer frames the issue through asset pricing: stochastic…

VolatilityDerivatives pricingOptions
Quant Q&A

The document discusses estimating the chance that a short call or put expires worthless. It presents option delta, with the sign adjusted for puts, as a rough first-order proxy for the probability of finishing in the money; subtracting that estimate from one…

OptionsDerivatives pricingVolatility
Quant Q&A

A futures option gives its holder the choice to enter a specified futures contract at the option’s strike price. Exercising creates a futures position with that contract price; it does not mean paying the strike amount upfront as though buying the underlying…

FuturesOptionsDerivatives pricing
Quant Q&A

The document explains how option delta can be approximated from the two successor-node option values in a binomial tree. Delta is the derivative of option value with respect to the underlying price, so the relevant Taylor approximation is in the underlying…

OptionsDerivatives pricingStatistics
Quant Q&A

The document examines whether an asset could have returns that are equally likely across a bounded range, including small and extreme outcomes. One response argues that trading toward expected value would make such a distribution unlikely in an efficient…

StatisticsDerivatives pricingOptions
Quant Q&A

The document considers whether the cost of a pre-earnings straddle predicts the size or direction of the stock’s move after results are released, and whether options hedging explains that behavior. The response points to post-earnings-announcement drift:…

OptionsEquitiesEvent-drivenVolatility
Quant Q&A

The document explains why a cash account belongs in a replicating portfolio used to derive the Black–Scholes equation. The stock position offsets the option’s sensitivity to price changes, but rebalancing that position requires financing. A cash deposit or…

OptionsDerivatives pricingRisk management
Quant Q&A

The document asks why plotted call-option implied-volatility smiles appear steeper for shorter expiries and why scaling log-moneyness by the square root of time can make smiles look more comparable. One response points to work on smiles in…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document addresses how to derive an implied volatility for an interest rate cap after calibrating SABR to caplet quotes. Caplets are options on forward rates, and separate strike and maturity quotes can be used to fit SABR parameters and produce caplet…

Fixed incomeOptionsVolatilityDerivatives pricing
Quant Q&A

The note investigates why an implicit finite-difference solution of the Black-Scholes PDE and a Monte Carlo estimate produce different plots for a sawtooth-shaped terminal payoff. The response focuses on behavior near zero spot: the payoff should approach…

OptionsDerivatives pricingBacktestingStatistics
Quant Q&A

The note explains how violations of European put-call parity can indicate an arbitrage opportunity. When the call is priced below the value implied by the put, stock, and discounted strike, the suggested position is to buy the call, sell the put, short one…

OptionsArbitrageDerivatives pricing
Quant Q&A

The document establishes that the value of an American put is convex as a function of its strike. One proof starts from the convexity of the discounted payoff in strike for each possible exercise time. Taking expectations preserves the inequality, and taking…

OptionsDerivatives pricingStatistics
Quant Q&A

The note considers how to describe the instantaneous mark-to-market change of a variance swap and asks whether it is simply realized variance minus implied variance, multiplied by elapsed time. One response says a variance swap is defined through a set of…

VolatilityDerivatives pricingOptions
Quant Q&A

The document assesses whether QuantLib can price a Bermudan-callable EUR/USD cross-currency interest rate swap using two Hull-White rate models, an FX process, correlations, and Longstaff-Schwartz Monte Carlo. Its answer is that QuantLib offers many relevant…

Fixed incomeForexDerivatives pricingOptions
Quant Q&A

The document decodes two abbreviations used in swaption quotes. The year labels identify the option’s start date and the tenor of the underlying swap; the response focuses on the suffixes WC and WS, clarifying that they describe option structures rather than…

OptionsFixed incomeDerivatives pricing
Quant Q&A

The document concerns estimating discrete dividends from American option prices, using paired call and put implied volatilities around the forward as a proposed calibration signal. The question describes refining dividend estimates by expiry and adjusting…

OptionsDerivatives pricingVolatility
Quant Q&A

The discussion describes how to obtain local volatility from an implied volatility surface using a Dupire-style relationship. It expresses the result in terms of derivatives of total implied variance with respect to maturity and log moneyness. In the…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The discussion asks whether the Black–Scholes option value is the limiting value of a binomial tree as the number of time steps grows, and whether implied volatility can be used in that convergence. The replies point to a study comparing the models and…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document asks how to convert quoted lognormal swaption volatilities into prices using the Black swaption formula. It outlines how option tenor and swap tenor identify the exercise date and underlying swap period, while the strike is set by adjusting the…

OptionsDerivatives pricingFixed incomeVolatility