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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

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
vn.py community

A discussion about an options strategy notebook describes a backtest that produced zero daily profit and loss values and took a long time to load historical data. The reported cause was missing underlying futures data: the shared activity data package…

OptionsFuturesBacktesting
Lumibot

This guide catalogs implementation mistakes that can distort trading decisions or break a Lumibot strategy. It explains why backtests should use simulated time and completed candles, why persistent assets belong in strategy variables, and how to handle…

BacktestingOptionsCryptoExecution
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

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
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
Amberdata research

This brief market recap describes conditions in Bitcoin and Ether derivatives for the week of March 7, 2023. It reports that Bitcoin realized volatility declined, while the term structures for both assets changed little. Options skew continued to favor puts,…

CryptoOptionsVolatility
Amberdata research

This market commentary connects inflation and energy developments with expectations for Federal Reserve policy, then considers how upcoming macro events might affect crypto volatility. It reports mixed inflation readings, a slight reduction in expected rate…

CryptoOptionsVolatilityBreakout
BigQuant

This research roundup describes two separate studies. The first examines the Stochastic Volatility Inspired (SVI) parameterization for modeling implied volatility surfaces. It reports theoretical results and empirical analysis suggesting that, under…

OptionsVolatilityDerivatives pricingStatistics
Amberdata research

This weekly market note reviews macroeconomic events and crypto options conditions in the week of September 24, 2023. It links the Federal Reserve’s hawkish messaging and upcoming economic releases with weakness in technology shares, bonds, and Ether. The…

CryptoOptionsVolatilityDerivatives pricing
TqSdk

The document examines whether volatility in the CSI 300 varies by weekday and time of day, then uses that pattern to modify Black–Scholes pricing for an index option. It calculates five-minute log returns from open to close over a year of index data,…

OptionsVolatilityDerivatives pricingStatistics
SuperMind

The document explains market making as continuously quoting buy and sell prices and trading against customer orders to provide immediacy and liquidity. A simple futures example illustrates spread capture when both sides fill, while showing that an adverse…

Market makingMarket microstructureFuturesOptions
Amberdata research

The document explains how comparing implied volatility (IV) surfaces across dates can reveal patterns that a single snapshot misses. It describes tracking Mark IV and Forward IV across maturities with term-structure time-lapse views, and comparing…

CryptoOptionsVolatilityDerivatives pricing
BigQuant

The document summarizes research on how high-frequency trading in equities affects liquidity in options on those stocks. The study combines Nasdaq HFT records with options transaction data and other market data for 103 stocks, then uses instrumental-variable…

EquitiesOptionsHigh-frequency tradingMarket microstructure
Amberdata research

This weekly report reviews a sharp crypto selloff alongside higher US yields, China-related risk concerns, and the upcoming Federal Reserve outlook at Jackson Hole. It describes heavy BTC futures and perpetual liquidations, falling open interest, a temporary…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This weekly market note connects US inflation releases and speculation about Federal Reserve leadership to moves in gold, bonds, and crypto. It interprets mixed producer and consumer inflation readings, resilient employment, and possible political pressure…

CryptoOptionsVolatilityEquities
BigQuant

This research summary examines why stocks can earn excess returns before earnings announcements. It proposes that investors and analysts resolve some uncertainty ahead of the report, supporting price gains before the announcement itself. The study measures…

EquitiesOptionsEvent-drivenVolatility
Amberdata research

This podcast overview traces Premia’s development from an early peer-to-peer options concept to a decentralized platform supporting order books, RFQ, pools, and vaults. The team’s traditional finance experience shaped its response to crypto-specific…

CryptoOptionsDerivatives pricingDeFi