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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

10,263 documents

FMZ forum

This introductory guide explains call and put options, the distinction between in-, at-, and out-of-the-money contracts, and key features of China’s 50ETF options, including contract size, exercise style, settlement, and price limits. It emphasizes that…

OptionsDerivatives pricingVolatilityRisk management
Amberdata research

This weekly market recap reviews Bitcoin and Ether derivatives conditions, including realized volatility, implied-volatility term structure, skew, option flows, and dealer gamma. It describes weak spot prices alongside subdued realized volatility, while…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This market recap describes how a sharp crypto decline affected BTC and ETH options. It reports rising realized volatility, a larger response in short-dated implied volatility than in longer maturities, and an inverted term structure after spot fell. The…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This Q2 2023 report teaser examines Bitcoin and Ethereum options activity, volatility behavior, and the DVOL index. It describes a rules-based method for estimating trade aggressor direction using weighted heuristics, then discusses differences in spot and…

CryptoOptionsVolatilityMarket microstructure
FMZ forum

This Chinese-language article surveys quantitative finance work through six role types: desk quant, model validation, research, quant development, statistical arbitrage, and capital modeling. It describes how these roles differ in their proximity to trading,…

Multi-assetDerivatives pricingArbitrageStatistics
Hyperliquid docs

The document explains how Hyperliquid derives robust reference prices for perpetual futures to reduce exposure to market manipulation. Its oracle price is a weighted median of centralized-exchange prices and is used to calculate funding rates; because…

Perpetual futuresDerivatives pricingMarket microstructureRisk management
Amberdata research

This market note reviews Bitcoin and Ether options around a period of banking stress and major US economic releases. It describes Bitcoin’s term structure moving into backwardation, with near-dated implied volatility elevated relative to longer maturities,…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This market commentary examines crypto options positioning in December 2023 as traders anticipated a US spot Bitcoin ETF decision. It discusses a sharp Bitcoin pullback and a rise in realized volatility, alongside a decline in short-dated implied volatility…

CryptoOptionsVolatilityEvent-driven
Stratmill research code

This tutorial develops bivariate copulas as a way to describe dependence separately from the marginal distributions of two variables. It defines tail dependence and the Fréchet–Hoeffding bounds, then explains how an empirical copula can be estimated from…

StatisticsRisk managementPairs tradingDerivatives pricing
Amberdata research

This market commentary links changing Federal Reserve rate-cut expectations with risk-asset performance, then examines relative strength and options conditions in Bitcoin and Ether. It discusses how realized volatility and the ETH/BTC ratio may reflect…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This market commentary interprets crypto option-implied distributions and volatility around the 2024 US election. It uses calibrated BTC options distributions to compare the market-implied chance of prices above $72,000 at the November 8 and December 27…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This mid-week recap summarizes derivatives conditions in Bitcoin and Ether as of April 21, 2023. It reports stable Bitcoin 10-day realized volatility in the low 30s while attention shifted toward Ether, and describes term structures for both assets as moving…

CryptoOptionsVolatilityDerivatives pricing
NautilusTrader

This example shows how to run an options backtest from a catalog containing option instruments, quote ticks, and Greeks. It subscribes to periodic option-chain snapshots for a chosen series and selects a contract either at a specified strike or near a target…

OptionsDerivatives pricingBacktestingExecution
Amberdata research

The document reviews crypto market conditions ahead of the Bitcoin halving and discusses how macroeconomic pressure may affect sentiment and options pricing. It points to higher Treasury yields and a stronger dollar as headwinds while noting that implied…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

The webinar summary addresses how to estimate option values in newer crypto markets where liquid options data may be sparse or absent. It describes Amberdata’s approach as using liquid equity options as a reference for generating implied volatility surfaces,…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This conference recap describes themes reported at Consensus Hong Kong 2025, including greater institutional participation in digital assets, regulatory developments, and interest in combining blockchain with artificial intelligence. It says Hong Kong's…

CryptoDerivatives pricingMarket microstructureChina markets
Amberdata research

This podcast recap discusses Bitcoin’s volatility and derivatives market conditions around a sharp price decline and subsequent stabilization. It introduces implied volatility and volatility compression, and describes a reported contrast between elevated…

CryptoVolatilityOptionsDerivatives pricing
Cryptohopper blog

The document explains crypto futures as contracts tied to an underlying asset, contrasting them with spot trading. It describes how traders may take long or short positions based on an expected price rise or fall, and illustrates a short trade in Bitcoin:…

CryptoFuturesDerivatives pricingRisk management
FMZ forum

The article defines volatility as the dispersion of continuously compounded returns and explains why higher volatility, all else equal, raises option value. It distinguishes historical volatility, estimated future volatility, traders’ expected volatility,…

OptionsVolatilityDerivatives pricing
Hyperliquid docs

This documentation explains that Hyperliquid index perpetual contracts use a calculated index as the underlying reference instead of a spot asset price. Validators periodically publish index values to the chain, and the median of their reports substitutes…

CryptoPerpetual futuresDerivatives pricingMarket microstructure
NautilusTrader

This reference explains how to model an exchange-defined crypto futures spread as one tradable instrument. It lists required metadata such as the underlying asset, quote and settlement currencies, venue symbol, strategy type, activation and expiration times,…

CryptoFuturesDerivatives pricingMarket microstructure
Amberdata research

This market commentary reviews Bitcoin and Ethereum options conditions, covering realized and implied volatility, carry, skew term structures, and relative value. It reports that realized volatility rose, implied volatility did not keep pace in Bitcoin as…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This market commentary connects Federal Reserve easing, Bitcoin price prospects, spot ETF adoption, and options volatility. It contrasts a possible short-term volatility surge with a longer-term decline as institutional ownership grows. For a bullish…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This market commentary links a decline in US yields and expectations of a possible soft landing with gains in Bitcoin, Ether, and gold. It reviews the coming employment and central bank events, then interprets crypto options activity: traders appeared…

CryptoOptionsVolatilityDerivatives pricing