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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
WonderTrader
14 documents
Alphalens
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 crypto options conditions after an early-month rally, focusing on realized and implied volatility, term structure, skew, trading flows, and dealer gamma. It reports higher realized volatility in BTC and ETH, stronger demand for…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

The article explains how inflation, interest rates, and economic growth can shape crypto prices and liquidity. It recommends comparing crypto returns with inflation measures and traditional markets using rolling correlations and regression, since Bitcoin may…

CryptoMulti-assetStatisticsRisk management
NautilusTrader

This guide explains how a simulated venue handles perpetual funding and account configuration during a backtest. Funding-rate updates supply the latest rate; when a funding boundary is known, the backtest clock creates a settlement at that time. Without an…

Perpetual futuresRisk managementBacktestingDerivatives pricing
Amberdata research

This weekly market note assesses Bitcoin and Ether options against a quiet spot market and low recent realized volatility. It discusses implied volatility across maturities, volatility risk premium, and contango in the term structure. The author considers…

CryptoOptionsVolatilityDerivatives pricing
vn.py community

This brief options-forum exchange asks how an options strategy should handle a position that reaches expiration during a backtest. A respondent says to calculate the profit or loss using the closing price on the final trading day. The answer offers a simple…

OptionsBacktestingDerivatives pricing
Amberdata research

This weekly market commentary reviews crypto options positioning alongside moves in macro markets. It argues that a strong Bitcoin rally coincided with a decline in year-end implied volatility skew, which the authors interpret as traders anticipating slower…

CryptoOptionsVolatilityDerivatives pricing
vn.py community

This article outlines how to move a developed and backtested option strategy into live or simulated trading with VeighNa’s OptionStrategy module. It distinguishes access requirements for futures options and ETF options, including differences in simulated…

OptionsDerivatives pricingExecutionBacktesting
BigQuant

The document outlines a financial forum presentation on the use of artificial intelligence in quantitative investing. Its listed examples include a random forest approach to market timing and hedging, a pattern matching method for industry rotation, and a…

Machine learningPortfolio constructionDerivatives pricing
Amberdata research

This overview describes using crypto options flow data to assess activity and possible market sentiment. It covers contract volume and open interest as measures of activity and liquidity, strike prices relative to spot, expiration horizons, put-call ratios,…

CryptoOptionsDerivatives pricingVolatility
Amberdata research

The document gives a weekly snapshot of BTC and ETH options markets. It discusses realized and implied volatility, option term structures, call and put skew, and the volatility spread between the two assets. The commentary links market moves to events such…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This podcast recap discusses crypto derivatives and volatility, including the Ethereum Dvol index, differences between Ethereum and Bitcoin volatility, volatility spikes, and a Butterfly Index. It also considers how news and regulatory developments may…

CryptoOptionsVolatilityArbitrage
Amberdata research

This midweek market recap describes changes in Bitcoin and Ethereum derivatives following a US debt ceiling agreement. It tracks realized volatility, the shape of implied volatility across expiries, option skew, trading flows, and dealer gamma positioning.…

CryptoOptionsVolatilitySentiment
NautilusTrader

This script creates four visual explanations for a Bybit delta-neutral options example: a short-strangle expiration payoff, how position delta changes as the underlying moves, a simulated rehedging threshold, and a strike-selection illustration. It reads…

OptionsDerivatives pricingRisk management
Amberdata research

This market commentary describes how reports that spot ETH exchange-traded funds might be fast-tracked triggered a sharp rise in ETH and a surge in its short-dated realized and implied volatility. It compares the response with BTC, noting changes in…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

The article explains how implied volatility across option maturities forms a term structure. It proposes monitoring changes in the curve’s slope and curvature to assess whether markets expect near-term turbulence, longer-lived uncertainty, or a possible…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

The newsletter combines a macro outlook with crypto market and options observations. It links the author’s expectation of a September rate cut and easing cycle to a base case of higher crypto prices, while noting uncertainty around the election and upcoming…

CryptoOptionsVolatilityDerivatives pricing
Kraken Learn

This guide compares privately negotiated crypto forwards with standardized futures traded on exchanges. Forwards allow counterparties to choose contract terms and typically settle at maturity, but depend on the other party to honor the agreement and can be…

CryptoFuturesDerivatives pricingRisk management
BigQuant

The document explains how a structured snowball note can be valued by Monte Carlo simulation and partial differential equation methods. It describes decomposing the note’s possible payoff scenarios into exotic option components and combining their values. It…

Derivatives pricingOptionsRisk managementBacktesting
FMZ forum

The article explains how time affects option value and describes calendar, or horizontal, spreads as a way to trade that effect. A calendar spread pairs options on the same underlying with the same strike and type but different expirations, typically selling…

OptionsVolatilityDerivatives pricingRisk management
BigQuant

The article explains a snowball structured product through observation dates, knock-in and early redemption conditions, and a capped return. It presents the payoff as conditional: investors may receive a preset return when the underlying stays within…

OptionsDerivatives pricingRisk managementVolatility
Amberdata research

This market commentary links a broad crypto rally to easing trade tensions and reviews options ideas in ETH, BTC, and SOL. It describes ETH/BTC relative strength, call spreads, SOL calls near a notable strike, and BTC options as a possible exposure to both…

CryptoOptionsVolatilityDerivatives pricing
Lumibot

The document describes an options workflow that separates research from trade execution. A non-trading researcher gathers market, account, option-chain, contract, Greeks, quote, and package-price information. A trading agent independently refreshes that…

OptionsDerivatives pricingExecutionRisk management
Amberdata research

This market recap connects a softer US employment report and a quiet upcoming economic calendar with the author’s expectation of easing volatility and relatively stable markets. For Bitcoin, it reviews realized volatility, implied-volatility term structure,…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

This tutorial introduces finite difference methods for approximating derivatives in a parabolic partial differential equation, using the heat equation as its example. It motivates the approach for quantitative finance by noting that the Black-Scholes…

Derivatives pricingOptionsStatisticsRisk management