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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

Amberdata research

This market recap interprets Bitcoin and Ether options volatility, term structure, skew, trading flows, and dealer gamma around anticipated spot ETF decisions. It reports rising implied volatility alongside stable recent realized volatility, with Bitcoin’s…

CryptoOptionsVolatilityMarket microstructure
BigQuant

The document describes Panoptic, a decentralized protocol that offers perpetual options linked to Uniswap liquidity pools. It explains how concentrated liquidity ranges can serve as strike selection and how liquidity provision can create option-like…

CryptoOptionsVolatilityDeFi
Amberdata research

The article argues that ETH options volatility may offer a long-volatility opportunity despite the historically positive variance risk premium often observed in crypto. It compares ETH and BTC implied and realized volatility, describing ETH’s relative…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This market recap reviews BTC and ETH options conditions around ETF-related news. It describes a surge in realized volatility followed by lower implied volatility after the event, and explains that the resulting negative volatility carry is not, by itself, a…

CryptoOptionsVolatilityDerivatives pricing
Stratmill research code

This class template describes a bivariate mixed copula as a weighted combination of component copulas. It calculates the mixture density, joint cumulative probability, and conditional probability by evaluating each component and summing according to its…

StatisticsDerivatives pricingRisk management
Hyperliquid docs

This documentation explains how cross, isolated, strict isolated, and HIP-3 margin modes affect collateral sharing and liquidation exposure. Cross margin pools eligible collateral across positions, with the scope of sharing depending on account abstraction…

CryptoPerpetual futuresDerivatives pricingRisk management
Amberdata research

The article compares Bitcoin market conditions in late 2023 with the rally in late 2020, using spot returns, options implied volatility, futures basis, and realized volatility. It reports that implied volatility was near its 2023 high amid call buying, while…

CryptoOptionsFuturesVolatility
Stratmill research code

This technical reference implements the bivariate Joe copula, a dependence model with a parameter theta in the range from 1 upward. It provides formulas for the copula cumulative distribution, density, and conditional probability, along with a sampling…

StatisticsRisk managementDerivatives pricing
NautilusTrader

This reference explains how a dated, exchange-traded futures contract is represented. It describes identifiers, underlying, activation and expiration times, currency, price precision and increments, multiplier, lot size, margin settings, quantity and price…

FuturesDerivatives pricing
Amberdata research

This report surveys digital-asset market conditions in the first quarter of 2025, connecting sharp price moves with macroeconomic news, regulatory actions, exchange security events, and institutional positioning. It discusses Bitcoin and Ethereum, ETF flows,…

CryptoOn-chain dataDerivatives pricingVolatility
SuperMind

This overview explains why financial institutions may consider digital assets and surveys market structure, asset categories, trading venues, and regulatory developments. It contrasts crypto markets with traditional finance, emphasizing continuous global…

CryptoMarket microstructureArbitrageDerivatives pricing
Amberdata research

This market recap reviews BTC and ETH options positioning during a period when spot prices struggled near technical levels and traders anticipated volatility around the Bitcoin halving. It compares realized and implied volatility, term structures, skew,…

CryptoOptionsVolatilityRisk management
Amberdata research

The document summarizes research and a webinar discussion of Bitcoin options across bull, bear, and volatile market conditions. The presenters examined the volatility surface and its regimes, and argued that traders may find opportunities by adapting ideas…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This brief market recap points readers to four themes in Bitcoin and Ether derivatives: pronounced put skew, the volatility spread between ETH and BTC, large realized-volatility days influencing markets, and buying of longer-dated calls described as…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This brief market recap describes conditions in Bitcoin and Ether derivatives as of February 8, 2023. It tracks realized volatility, futures or options term structure, skew, and observed option flows. The reported picture is declining realized volatility, a…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This market recap reviews BTC and ETH options after a sharp spot recovery. It discusses realized and implied volatility, term structures, volatility carry, call and put skew, relative value between the assets, option flows, and dealer gamma. The commentary…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

The document outlines a framework for estimating implied volatility and theoretical option values for altcoins without actively traded options. An Altcoin SVI endpoint bootstraps volatility curves and recalibrates them every 24 hours for 7-day and 30-day…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This market recap interprets a sharp Bitcoin rally and concurrent Ethereum strength through realized and implied volatility, term structure, skew, option flows, and dealer gamma. It reports that volatility rose as spot advanced, options buyers chased upside…

CryptoOptionsVolatilityMarket microstructure
Amberdata research

The document describes the growing role of cryptocurrency derivatives and the need to combine data from fragmented trading venues. It identifies trades, price aggregates, deep order books, open interest, funding rates, liquidations, and long/short ratios as…

CryptoDerivatives pricingMarket microstructureRisk management
BigQuant

This document explains why cash dividends matter when pricing Chinese equity index futures and estimating hedge costs. Because the contracts track price indices, expected constituent dividends affect fair value and the apparent futures basis. The proposed…

China marketsEquitiesFuturesDerivatives pricing
Amberdata research

This derivatives newsletter reviews a strong weekly rise in Bitcoin and other risk assets amid a US government shutdown and missing official employment data. It compares private employment estimates with market expectations, notes gains in gold, equities,…

CryptoOptionsVolatilityDerivatives pricing
Cryptohopper blog

This introductory guide explains that Bitcoin trading takes place across exchanges, over-the-counter markets, and derivatives platforms, with markets operating around the clock. It outlines basic setup steps such as selecting a platform, registering and…

CryptoRisk managementTechnical indicatorsDerivatives pricing
Amberdata research

This overview explains how Delta, Gamma, Theta, and Vega describe different sensitivities in crypto options, with a brief discussion of Rho. Delta measures exposure to the underlying asset’s price; Gamma tracks changes in Delta; Theta describes time decay;…

OptionsCryptoDerivatives pricingRisk management
Amberdata research

This weekly review interprets Bitcoin and Ethereum options conditions amid subdued spot markets and lower volatility. It discusses falling short-dated implied volatility, a steeper contango term structure, and the view that long-dated Ethereum volatility…

CryptoOptionsVolatilityDerivatives pricing