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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

766 documents

Amberdata research

This article summarizes a 2025 industry report that describes tokenization moving into institutional production. Examples cited include tokenized U.S. Treasuries and money-market funds, as well as bank workflows for settlement and repo. The article frames…

Fixed incomeCryptoOn-chain dataMarket microstructure
Amberdata research

This market snapshot reviews digital asset conditions across spot and derivatives markets, exchange-traded fund flows, stablecoins, and DeFi lending. It reports a shift in Bitcoin perpetual funding from negative to positive, tighter BTC and ETH spreads,…

CryptoPerpetual futuresMarket microstructureVolatility
Amberdata research

This October 2023 snapshot reviews crypto market structure and activity alongside industry news. It reports shifts in centralized exchange volume share, including gains for Bybit and changes in Binance and OKX shares, while noting that aggregate exchange…

CryptoSpot marketsDeFiOn-chain data
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
Amberdata research

This company profile describes Amberdata’s effort to provide financial institutions with a shared data source for digital asset markets. It groups the information into cryptocurrency market data, blockchain records such as contracts and events, and…

CryptoDeFiOn-chain data
Amberdata research

This product update describes an institutional dashboard for monitoring tokenized, treasury-backed assets on Ethereum. It focuses on aggregate market capitalization, protocol-level activity, and unique wallet holders, with individual views of issuers and the…

CryptoFixed incomeOn-chain dataDeFi
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

The report argues that a sharp Bitcoin price decline and ETF redemptions reflected a concentrated unwind of cash and carry positions rather than broad institutional capitulation. It explains the trade: hold spot Bitcoin or ETF shares while shorting futures…

CryptoArbitrageCarryPerpetual futures
Amberdata research

The article explains a framework for examining digital assets by combining exchange data, such as trades, with blockchain information about transaction proofs, protocols, and asset supply. It argues that market data alone can miss changes defined by an…

CryptoMarket microstructureOn-chain data
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

The document introduces Rho Protocol as an on-chain venue for trading crypto-native interest rates, especially perpetual funding rates and staking rates. It describes fixed-for-floating contracts as a way to hedge exposure to changing rates, similar to…

CryptoFuturesArbitrageCarry
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

The document describes a Chinese equities screening idea focused on stocks in the metaverse industry. It combines a price trend condition, expressed through a five-day moving average, with a condition that today’s increase in volume relative to share capital…

EquitiesChina marketsTechnical indicatorsMomentum
Amberdata research

This weekly digital-asset snapshot examines a market in which Bitcoin and Ether were weak or nearly flat while selected altcoins, especially DeFi-related tokens, rose sharply. It combines price and volatility measures with trading volume, open interest,…

CryptoVolatilityPerpetual futuresMarket microstructure
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
Amberdata research

The report compares on-chain behavior around Bitcoin volatility shocks in bull and bear periods. It defines a shock as a day when absolute daily return exceeds two standard deviations above its historical average, then studies 21 shock days in each market…

CryptoOn-chain dataVolatilityStatistics
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
Amberdata research

This weekly crypto snapshot links institutional news and regulatory developments with activity across centralized exchanges, decentralized exchanges, lending protocols, and blockchain networks. It describes spot Bitcoin ETF filings and a planned traditional…

CryptoSpot marketsDeFiOn-chain data
Amberdata research

This conference recap highlights themes discussed at Consensus 2024, including institutional participation in digital assets, interest in blockchain applications such as tokenization of real-world assets, and the prospect of consolidated crypto trading. It…

CryptoSentimentMarket microstructure
Amberdata research

The report describes tests of 14 Ethereum trading strategies using stablecoin issuance and Uniswap V2 USDC/ETH pool activity. It outlines signals based on rolling issuance sums, moving averages, standard-deviation thresholds, Pearson correlation, and pool…

CryptoOn-chain dataBacktestingPosition sizing
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
Amberdata research

This case study describes a hedge fund seeking to add digital asset strategies and the data infrastructure needed to research and trade them. Its requirements included real-time and historical market data, high-volume feeds for algorithm development and…

CryptoOn-chain dataHigh-frequency tradingBacktesting