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
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

This product update describes two types of on-chain data for analyzing decentralized finance activity. Lending and borrowing summaries aggregate deposits, borrows, protocol revenue, liquidations, and withdrawals across protocols, assets, and chains, with…

DeFiOn-chain dataMarket microstructure
Amberdata research

This podcast recap follows quant Artur Sepp’s move from traditional finance into crypto derivatives. It describes his work on delta-neutral options strategies, volatility modeling, and market making in illiquid options, where one-sided order flow and…

CryptoOptionsVolatilityMarket making
Amberdata research

The document describes two risks institutions may encounter in decentralized finance: scam tokens, especially liquidity-draining rug pulls, and crypto assets connected to illicit activity. It argues that blockchain data can support token due diligence by…

CryptoDeFiOn-chain dataRisk management
Amberdata research

This report section reviews DeFi activity and security incidents in 2025. It frames the year through several measures: total value locked (TVL), lending utilization, liquidations, decentralized exchange volume, and major protocol exploits. It argues that…

CryptoDeFiOn-chain dataRisk management
Amberdata research

This report reviews 2024 activity in centralized crypto spot and derivatives markets. It describes how exchange and asset trading volumes changed through the year, noting periods of high activity across major venues and tokens. It suggests using volume…

CryptoFuturesPerpetual futuresArbitrage
Amberdata research

This weekly market note reviews Bitcoin and Ether options conditions in early December 2022 alongside macroeconomic context. It describes falling realized volatility and implied volatility, a soft volatility backdrop, changing risk reversals, and steep Ether…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

An interview with an experienced derivatives trader traces his move from equity derivatives into crypto and explains how exotic option books can behave under stress. Autocallables combine contingent coupons with short exotic downside exposure, while their…

CryptoOptionsVolatilityRisk management
Amberdata research

The article explains how crypto market makers support trading by placing bids and asks around prevailing prices, seeking to earn the spread while keeping order books populated. It links two-sided quoting with faster execution, narrower spreads, reduced price…

CryptoMarket makingMarket microstructureExecution
Amberdata research

This market commentary examines crypto options and spot-market conditions during the November 2022 FTX collapse. It argues that contagion concerns, thin liquidity, and possible abrupt news-driven moves made short-volatility positions especially exposed, even…

CryptoOptionsVolatilityMarket microstructure
Amberdata research

This market commentary links changing US inflation, employment, and rate expectations to crypto risk sentiment, then reviews Bitcoin and Ethereum options positioning ahead of an FOMC decision. It describes bullish Bitcoin flows, including call buying and put…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This weekly crypto market note reviews Bitcoin’s rally, liquidation-driven price swings, upcoming US macro events, and the implications for options volatility. It connects a sharp move through prior price levels with short liquidations, a subsequent rapid…

CryptoOptionsVolatilityRisk management
Amberdata research

The article explains how data supports several spot Bitcoin ETF functions: calculating net asset value (NAV) and intraday indicative value, checking reserves, and helping authorized participants trade around price deviations. Because Bitcoin trades…

CryptoSpot marketsOn-chain dataArbitrage
Amberdata research

This market commentary links Federal Reserve uncertainty and tariff-related inflation concerns with higher volatility in traditional markets, then considers possible spillovers to Bitcoin. It cites a rise in the VIX after Powell’s remarks, strength and…

CryptoOptionsVolatilityUS markets
Amberdata research

This market recap reviews Bitcoin and Ethereum options after approval of an Ethereum exchange-traded fund. It discusses realized and implied volatility, term structure, relative volatility, and option skew. The account says implied volatility fell as event…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

The article explains why implied volatility is an option price input solved from a pricing model, rather than a direct forecast of future realized volatility. It recommends assessing current IV against its own history and reading it alongside the shape of…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This weekly market note connects Federal Reserve expectations and US economic releases with crypto and equity volatility. It argues that rates and inflation data could influence risk assets, then compares Bitcoin and gold implied volatility as a way to frame…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

The guide explains how impermanent loss arises when the relative prices of two tokens change while they are held in an automated market maker (AMM) liquidity pool. It contrasts a liquidity position with simply holding the deposited assets, describes how…

CryptoDeFiRisk managementBacktesting
Amberdata research

This research roundup describes several quantitative finance studies. One classifies equity trades by their short-term co-occurrence with other trades and standardizes associated order imbalances into conditional order imbalance measures. These measures…

EquitiesCryptoMomentumMachine learning
Amberdata research

The document introduces blockchain oracles as software that retrieves off-chain information and makes it available to smart contracts. Because a blockchain cannot directly query external APIs or data feeds, an oracle provides a link between on-chain…

CryptoDeFiDerivatives pricing
Amberdata research

This weekly crypto options analysis links macroeconomic events, including US debt ceiling negotiations, inflation data, Fed minutes, and upcoming employment figures, to Bitcoin and Ethereum volatility. It argues that the market may remain in a wait-and-see…

CryptoOptionsVolatilityCarry
Amberdata research

This market snapshot examines the February 2024 crypto rally through spot-market activity, ETF flows, decentralized exchange volumes, lending deposits, miner supply behavior, and Bitcoin net unrealized profit and loss (NUPL). It presents the view that ETF…

CryptoOn-chain dataSentimentMarket microstructure
Amberdata research

This overview explains a set of Ethereum indicators grouped around market tops and bottoms, sentiment, and user activity. Price measures include the 50-day and 200-day moving averages, a 200-week average, and the Pi Cycle comparison between the 111-day…

CryptoOn-chain dataTechnical indicatorsSentiment
Amberdata research

This report examines BTC options and futures behavior in Q1 2023, then introduces Lyra as an automated market maker for on-chain options. It contrasts AMM and order-book models and frames DeFi options as an evolving market without an established analytical…

CryptoOptionsVolatilityDerivatives pricing