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
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

10,263 documents

Amberdata research

This market recap reviews Bitcoin and Ethereum derivatives conditions, including realized and implied volatility, skew term structure, carry, and relative value. It reports that realized volatility had eased, front-end implied volatility softened before…

CryptoOptionsVolatilityCarry
Quant course library

This document compares crypto spot, leveraged spot, and futures trading. It explains that spot positions are not subject to liquidation in the described framework, while borrowed margin positions and futures can be forcibly closed. It outlines long and short…

CryptoFuturesPerpetual futuresDerivatives pricing
Quant course library

This document describes data structures for tracking option contracts, underlying instruments, and option chains in a portfolio. It updates positions from trades and holdings, derives mid prices from top of book quotes, and connects options with pricing…

OptionsDerivatives pricingVolatilityPortfolio construction
Quant course library

The document describes an options volatility trading module built around live pricing, portfolio risk tracking, and execution. It outlines three pricing models for different exercise styles and underlyings, with routines to calculate theoretical prices and…

OptionsVolatilityDerivatives pricingRisk management
Quant course library

The document describes two portfolio analytics displays. The volatility chart plots call and put mid-implied volatilities against strike, alongside a pricing implied-volatility curve, and allows individual option chains to be shown or hidden. Curve data is…

OptionsVolatilityDerivatives pricingRisk management
Quant course library

The strategy compares a synthetic futures price, calculated from a call price minus a put price plus the strike, with the traded futures price. It measures the difference and opens a three-leg position when the spread crosses a configurable entry level: one…

ArbitrageOptionsFuturesDerivatives pricing
Quant Q&A

The document derives an approximate single implied volatility for a portfolio of options whose components have different implied volatilities. It begins with the condition that the portfolio’s modeled value at the common volatility should equal the sum of…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document explains how to estimate a bond’s value by discounting each scheduled coupon and principal payment. It adds the bond’s z-spread to the relevant spot rate, uses the resulting rates to calculate discount factors, and sums the discounted cash…

Fixed incomeDerivatives pricingUS markets
Quant Q&A

The document compares two martingale derivations of the Black–Scholes partial differential equation. With the bank account as numeraire, requiring the discounted option price to have zero drift yields the familiar PDE. The attempted stock-numeraire…

OptionsDerivatives pricingStatistics
Quant Q&A

The document explains why the delta of a binary call becomes sharply concentrated around its strike as expiry approaches. Under Black–Scholes, the option value is expressed using the normal cumulative distribution function, and differentiating gives a delta…

OptionsDerivatives pricingVolatility
Quant Q&A

The document derives an expression for the expected value of a process described by a stochastic differential equation with drift and diffusion terms. Rewriting the equation in integral form separates accumulated drift from the stochastic integral. Under the…

StatisticsDerivatives pricing
Quant Q&A

The document derives a European call pricing representation for an asset whose returns combine continuous Brownian movement with independent Poisson jumps. When jump sizes are lognormally distributed, conditioning on the number of jumps makes the terminal…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

An implied volatility surface reflects option prices that vary by strike and maturity, unlike the constant volatility assumption in the basic Black–Scholes model. Looking at one maturity at a time, a steep downside wing means out-of-the-money puts are…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document asks why an American put can have a different value from a European put when both are considered under the Black–Scholes framework. It contrasts the pricing inequality and payoff constraint for an American option with the familiar result that,…

OptionsDerivatives pricingRisk management
Quant Q&A

The document asks how a short-term VIX futures index’s daily roll weights translate into the holdings and cash flows of an exchange-traded product. It uses a dated example with two adjacent futures prices to question how a roll handles a price difference,…

VolatilityFuturesDerivatives pricing
Quant Q&A

The document derives a closed-form price for a European payoff based on the positive part of one minus the strike divided by the terminal stock price, assuming the stock follows geometric Brownian motion under the money-market measure. Its key observation is…

OptionsDerivatives pricingStatistics
Quant Q&A

The document explains how to simulate terminal prices for several assets whose returns are correlated, in order to value a multi-asset option by Monte Carlo. In a geometric Brownian motion model, dependence is specified through correlations among Brownian…

Multi-assetOptionsStatisticsDerivatives pricing
Quant Q&A

The document describes a backward path-integral scheme for pricing an American put on a log-price grid. At each time step, it discounts and integrates the next-step option value against a Gaussian propagator for log prices, then applies the early-exercise…

OptionsDerivatives pricingBacktestingStatistics
Quant Q&A

The document frames a model-selection problem for reinforcement-learning-based dynamic hedging of long-dated swaptions. The proposed application uses 2y2y and 4y2y swaptions, requiring simulated paths that update both a forward swap curve and an implied…

Fixed incomeOptionsVolatilityMachine learning
Quant Q&A

The document shows how to rewrite a European put’s discounted expected payoff as an integral of the underlying asset’s cumulative distribution function. Starting from the payoff integral over nonnegative asset prices, it extends the density’s support to the…

OptionsDerivatives pricingStatistics
Quant Q&A

The document frames a research question about abrupt changes in index option prices near major expiration dates. It proposes systematic rebalancing by structured products as a possible source of price pressure and asks what other forces might contribute. The…

OptionsMarket microstructureEvent-drivenDerivatives pricing
Quant Q&A

The document explains why a European put’s Black–Scholes–Merton value can fall below its immediate exercise payoff. A European option cannot be exercised before expiration, so when the underlying price is far below the strike, the eventual payoff is…

OptionsDerivatives pricingRisk management
Quant Q&A

The document considers a weather-linked call whose daily payout depends on maximum temperature mapping to a quantity and a price index average exceeding a strike. The payoff also has daily and contract-wide payout limits, making a direct closed-form…

OptionsCommoditiesDerivatives pricingRisk management
Quant Q&A

The document outlines a derivation of the Black–Scholes equation from the Capital Asset Pricing Model rather than from a risk-free portfolio formed by delta hedging. It starts from CAPM’s relation between expected return and covariance-based risk…

OptionsDerivatives pricingStatistics