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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

8,116 documents

Quant Q&A

The document discusses how to design a cross-asset pricing library that supports multiple models and numerical methods while keeping products and payoffs immutable for serialization. Its central design principle is to keep a payoff focused on contract terms…

Derivatives pricingOptionsPortfolio constructionBacktesting
Quant Q&A

The document considers bull and bear equity performance bonds that pay periodic coupons linked to stock returns, subject to a minimum coupon. It raises a modeling ambiguity: the coupon might be a minimum plus a positive performance component, or the maximum…

EquitiesOptionsDerivatives pricing
Quant Q&A

The document describes a numerical failure when calculating implied volatility for American options with RQuantLib: the solver reports that it cannot bracket a root, even though the user obtains values by entering observations manually. The suggested…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document examines whether a covered call can earn a relatively reliable profit by waiting for time decay. Its example sells calls against a large stock holding, but the response points out that the stock’s price movement dominates the small option…

OptionsDerivatives pricingRisk managementVolatility
Quant Q&A

The document raises a question about why the COS method presents a characteristic-function relation specifically for Lévy processes. It notes that if a log price is represented as an initial log-moneyness plus a random log-price change, the characteristic…

OptionsDerivatives pricingStatistics
Quant Q&A

This note examines an apparent arbitrage in put-call parity when a stock follows a zero-drift Black-Scholes process, with no interest or dividends. For a strike equal to the current stock price, parity makes the call and put prices equal. The apparent puzzle…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document outlines an Euler–Maruyama simulation for log asset prices under a local volatility model, using volatility that varies with time and the asset level. It asks which drift to use for option valuation versus estimating the real-world chance of an…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document asks whether the average strike and, where relevant, average implied volatility of a set of calls can be entered into one Black-Scholes calculation to approximate the portfolio’s average delta. The scenarios hold the underlying, expiry, rates,…

OptionsDerivatives pricingRisk management
Quant Q&A

The document derives lower and upper bounds for a European call using payoff dominance. A call payoff cannot exceed the underlying asset’s payoff, so its price is at most the asset price. It also dominates both zero and the payoff from holding the asset…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The discussion explains why a cash-or-nothing digital call cannot generally be replicated exactly using ordinary calls and puts at strikes spaced five dollars apart. In theory, a digital payoff can be approached by a call spread whose strike gap shrinks…

OptionsDerivatives pricingRisk management
Quant Q&A

The document proposes a way to construct model inputs for year-on-year and zero-coupon inflation options when example quotes are unavailable. Comparing yields on Treasury Inflation-Protected Securities with yields on nominal Treasury securities of similar…

OptionsFixed incomeVolatilityDerivatives pricing
Quant Q&A

The document outlines a first-order and second-order method for assigning daily option profit and loss to delta and gamma. Delta contribution is estimated from delta times the underlying price change, while gamma contribution uses one half of gamma times the…

OptionsDerivatives pricingVolatilityRisk management
Quant Q&A

The document asks whether European options can be priced in closed form when the variance gamma model’s drift, volatility, and variance rate are random. It explains that unrestricted random coefficients generally do not yield a closed-form price:…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document shows how to replicate a payoff that is zero below a lower strike, rises linearly between two strikes, and is capped above the higher strike. The call construction is a bull call spread: buy a call at the lower strike and sell a call at the…

OptionsDerivatives pricingPortfolio construction
Quant Q&A

The document explains why a high correlation between a call option’s price and its underlying stock does not conflict with a much smaller option delta. Correlation describes how consistently the two prices move together, while delta estimates the option’s…

OptionsDerivatives pricingStatistics
Quant Q&A

The document discusses what traders mean by spot volatility and how it can be expressed through traded instruments. It presents several interpretations: volatility swaps can provide exposure linked to realized volatility; options can express implied…

VolatilityOptionsDerivatives pricingArbitrage
Quant Q&A

The document asks whether negative state prices, which may appear when extracting risk-neutral distributions from option prices, can have an economic interpretation. It describes a state price as the current value of a claim paying one unit in a particular…

OptionsDerivatives pricingStatistics
Quant Q&A

The document asks why the stated theta of an Apple put appears large when compared with its midpoint and the time remaining before expiration. The question treats the option’s value divided by theta as if it directly represented the number of days until the…

OptionsDerivatives pricingRisk management
Quant Q&A

The document compares discounted cash flow intuition for stocks and bonds with derivative pricing. For an option, the future payoff is uncertain and depends on an underlying asset, so a discounted-cash-flow approach would first require a probability…

OptionsDerivatives pricingStatistics
Quant Q&A

The document raises a statistical inference problem for a time series of variance risk premia derived from options and realized variance, following Carr and Wu. The author wants to assess whether the series has a statistically significant mean and considers…

OptionsVolatilityStatisticsDerivatives pricing
Quant Q&A

The document outlines how to price American options when the underlying pays discrete dividends. Because exercise may be optimal before expiration, the problem is treated as an optimal-stopping problem. A numerical grid method, such as a recombining tree or…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document describes how strike spacing and the availability of listed equity option series are governed by exchange rules rather than by a single formula chosen by each broker. It gives Cboe examples of standard intervals that vary with the stock price,…

OptionsEquitiesUS markets
Quant Q&A

The note explains the notation used for CME 10-year Treasury note option strikes. A quoted strike of 1300 represents 130.0 in futures-price terms, while 1305 represents 130.5; the decimal is implicit. It also states that the minimum strike increment is 0.5.…

Fixed incomeFuturesOptions
Quant Q&A

The document addresses how to interpret a convertible bond whose yield is negative and how to estimate its implied credit spread. The response attributes the negative yield primarily to the embedded conversion option, which has both conversion value and time…

Fixed incomeOptionsDerivatives pricing