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
Quantpedia
86 documents
TqSdk
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
Quantopian lectures
45 documents
Binance API docs
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

766 documents

Amberdata research

Gamma exposure (GEX) describes how an option’s delta changes as the underlying asset moves. The document explains why this matters in crypto options: as delta shifts, market makers may adjust their hedges, creating flows that can affect volatility and…

CryptoOptionsDerivatives pricingRisk management
Amberdata research

This market recap describes a week of softer realized and implied volatility in Bitcoin and Ether options as spot prices drifted within recent ranges without a major macro catalyst. It notes that Bitcoin’s term structure shifted lower, especially at the…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This podcast recap explains BitMEX’s derivatives trading model through an interview with its CEO. It describes the platform as matching traders against one another rather than acting as the counterparty, then outlines a liquidation process supported by an…

CryptoDerivatives pricingPerpetual futuresMarket microstructure
Amberdata research

This market update reviews spot exchange activity, Uniswap v3 pool volumes, DeFi lending, and Bitcoin network indicators. It highlights stablecoin-to-asset pools as a major source of Uniswap v3 trading volume, and proposes tracking new stablecoins’ pool…

CryptoDeFiOn-chain dataSpot markets
Amberdata research

This overview describes an interactive Moody’s data story examining prominent stablecoin depegs through dynamic charts. The reported episodes include Terra’s collapse, an FTX-related USDT depeg, USDC losing its peg amid stress in traditional finance, and a…

CryptoDeFiVolatilityRisk management
Amberdata research

The article surveys possible uses of artificial intelligence in crypto trading and decentralized finance. It discusses robo-advisory, automated bots, strategy development and backtesting, risk assessment, arbitrage monitoring, sentiment analysis, predictive…

CryptoMachine learningBacktestingArbitrage
Amberdata research

This Chinese-language post describes a stock screen for the metaverse theme. Its initial conditions select shares with previous-day turnover above 8% and price above the five-day moving average. It then refines the screen by adding a MACD crossover…

EquitiesChina marketsTechnical indicatorsMomentum
Amberdata research

This podcast recap describes Cboe Digital’s crypto spot and derivatives exchange and clearinghouse. It lists spot markets in several major digital assets and notes the launch of Bitcoin and Ethereum futures. A central topic is futures margin clearing, which…

CryptoFuturesSpot marketsRisk management
Amberdata research

The webinar summary outlines how data and infrastructure providers support institutions working with digital assets. Its central points are that blockchain data is unusually transparent, institutional interest in blockchain and digitally native finance…

CryptoOn-chain dataDeFiMarket microstructure
Amberdata research

This excerpt organizes the 2025 crypto market into six regimes, grouped into early-year optimism, a mid-year build, and a late-year crisis and aftermath. It proposes identifying regimes through their triggers and through changes in flows, open interest,…

CryptoPerpetual futuresVolatilityRisk management
Amberdata research

This article introduces four ways portfolio managers can adapt familiar valuation concepts to blockchain assets. A discounted cash-flow approach replaces conventional corporate cash flows with protocol value accrual, such as transaction fees or staking…

CryptoOn-chain dataStatisticsCommodities
Amberdata research

This market snapshot assesses an early-2026 crypto rally using price and volume changes alongside open interest, perpetual funding, ETF flows, stablecoin supply, orderbook depth, and volatility. It interprets rising prices, expanding open interest, positive…

CryptoPerpetual futuresMarket microstructureVolatility
Amberdata research

This market snapshot discusses three digital-asset themes: institutional Bitcoin adoption, prospective uses for autonomous AI systems in decentralized finance, and tokenization of real-world assets. Its Bitcoin analysis describes a sharp rise above $100,000…

CryptoOn-chain dataSentimentDeFi
Amberdata research

This podcast account follows Michael Dunn’s move from fixed-income and equity trading into crypto derivatives and Bitnomial’s effort to build a regulated U.S. exchange and clearing infrastructure. It describes exchange components such as matching engines,…

CryptoFuturesOptionsMarket microstructure
Amberdata research

This market newsletter combines digital-asset developments with indicators and market commentary from October 2024. It reports growth in OpenEden’s tokenized U.S. Treasury vault, contrasts Bitcoin and Ethereum ETF assets and flows, and describes a recovery…

CryptoSpot marketsTechnical indicatorsSentiment
Amberdata research

The article explains stablecoins as crypto assets designed to track another asset, usually the US dollar, and distinguishes reserve-backed tokens from algorithmic designs. Reserve-backed tokens depend on the issuer holding assets intended to support…

CryptoDeFiRisk managementVolatility
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

The article explains why financial institutions need direct on-chain data alongside market data, then identifies four obstacles: many changing data sources, protocol differences, complex processing, and scarce specialist talent. It describes how smart…

CryptoOn-chain dataDeFiMarket microstructure
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

The document explains how crypto data aggregators combine information from centralized and decentralized exchanges into normalized time series. It frames fragmentation across venues, trading pairs, and blockchains as an infrastructure problem for…

CryptoArbitrageBacktestingRisk management
Amberdata research

The article explains Active Fundamental Performance (AFP), a measure intended to identify mutual fund managers who select stocks well on fundamental information. For each fund, it computes the covariance between benchmark-adjusted portfolio weights, or…

EquitiesFactor investingStatisticsBacktesting
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
Amberdata research

This market snapshot interprets crypto conditions across derivatives, spot flows, order books, stablecoins, and DeFi lending. It describes continued long liquidations in BTC, ETH, and SOL, funding turning negative across major assets, and BTC–ETH correlation…

CryptoPerpetual futuresMarket microstructureVolatility
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