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
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

766 documents

Amberdata research

The document introduces charts for comparing Bitcoin and Ethereum options implied volatility across delta levels. It describes two views: a spread calculated by subtracting Ethereum implied volatility from Bitcoin implied volatility, and a ratio calculated…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

The article argues that Bitcoin implied volatility should be read alongside broader market measures. It highlights VIX, VVIX, MOVE, the dollar index, gold volatility, and yield curve shape as potential clues to changes in crypto volatility. It attributes…

CryptoVolatilityOptionsMulti-asset
Amberdata research

The article presents realized volatility (RV) as a measure of observed price movement and implied volatility (IV) as the options market’s forecast. It uses the ratio of 7-day RV to 30-day RV to distinguish short-term expansion from compression, then compares…

CryptoOptionsVolatilityTechnical indicators
Amberdata research

This market snapshot combines price action with ETF and stablecoin flows, derivatives positioning, funding rates, open interest, orderbook depth, spreads, and volatility. It interprets the period as consolidation: Bitcoin and Ether held up better than…

CryptoPerpetual futuresArbitrageMarket microstructure
Amberdata research

This article explains Nouns DAO’s model: one NFT is auctioned each day, with proceeds accruing to a treasury that holders allocate through proposals and votes. It presents gradual, recurring funding as a way to give members time to coordinate and assess…

CryptoOn-chain dataDeFi
Amberdata research

This overview explains how centralized exchange spot-volume dashboards can be used to examine market activity across exchanges, quote currencies, stablecoins, and frequently traded tokens. It describes comparing total volume and exchange shares, then…

CryptoSpot marketsOptionsMarket microstructure
Amberdata research

This partial report examines Binance ETH/USDT trading and order book behavior around the yen carry trade unwind. It connects macro events—including yen appreciation and a sharp Nikkei decline—to crypto price moves, then describes how volume, net trading…

CryptoVolatilityMarket microstructureExecution
Amberdata research

This weekly market note interprets Bitcoin and Ether options alongside macro conditions for the week of February 26, 2023. It describes rising bond yields and hawkish Federal Reserve expectations as pressure on risk assets, while noting that crypto had…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This document outlines a compliance-oriented framework for assessing digital asset risks. It recommends categorizing protocol-level concerns such as smart-contract integrity, consensus vulnerabilities, and network security, while evaluating privacy coins…

CryptoRisk managementOn-chain dataVolatility
Amberdata research

The article describes a short-term stock screen for companies classified in the metaverse theme. It selects stocks that appeared on the previous day’s trading leaderboard and had turnover between 2% and 9%. The stated rationale is to combine a current…

EquitiesMomentumExecutionRisk management
Amberdata research

This market snapshot combines regulatory and adoption news with Bitcoin on-chain indicators. It discusses a proposed SEC crypto task force, Arizona legislation to permit public funds to hold digital assets, and increased Solana activity associated with…

CryptoOn-chain dataStatisticsSentiment
Amberdata research

This Chinese stock-screening note combines a turnover-rate band of 3%–12%, three consecutive declining sessions, and a weekly moving-average condition involving the 30-week average. It presents the conditions as a way to find stocks with a longer-term upward…

EquitiesChina marketsTechnical indicatorsTrend following
Amberdata research

The newsletter links geopolitical tension involving Iran to volatility in oil, precious metals, and risk assets, arguing that broader risk sentiment may set crypto’s near-term direction. It reviews macro events but gives greater weight to geopolitics and…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

The article explains call/put skew as the difference in implied volatility between comparable options. Higher call implied volatility is interpreted as stronger demand for upside exposure, while higher put implied volatility suggests greater demand for…

CryptoOptionsVolatilitySentiment
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

This podcast recap follows Ilan Levy-Mayer’s path into trading and his work at a futures brokerage. It describes the broker’s role in helping hedgers, speculators, and self-directed traders choose platforms, understand markets, and manage risk. The firm’s…

FuturesCommoditiesCryptoRisk management
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
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
Amberdata research

The document outlines a basic backtesting workflow: define a strategy, gather historical data, calculate returns and supporting statistics, then decide whether to deploy or refine the idea. It notes that crypto strategies may use pairs trades, rebalancing…

CryptoBacktestingMarket microstructureStatistics
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
Amberdata research

This market snapshot reviews crypto developments alongside indicators of institutional and trader positioning. It discusses exchange security after a major exchange hack, a USDC refund mechanism, proposed crypto investment products, US policy changes, and…

CryptoFuturesSentimentMarket microstructure
Amberdata research

This newsletter reviews how macroeconomic uncertainty and US policy signals shaped crypto prices and options conditions. It links employment and inflation data, tariff concerns, and changing expectations for rate cuts with broad risk-asset volatility. It…

CryptoOptionsVolatilityRisk management
Amberdata research

This primer surveys real-time and historical cryptocurrency data used in trading, research, and risk analysis. It distinguishes trade records, price feeds, and order-book data, describing tick-by-tick trades, normalized aggressor direction, snapshots, best…

CryptoMarket microstructureBacktestingExecution
Amberdata research

This podcast recap follows a derivatives trader’s move from FX options into crypto and outlines how an OTC desk serves institutional and high-net-worth clients. The desk makes markets in spot and options, handles customer flow, and manages risk across the…

CryptoOptionsFuturesVolatility