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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
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

203 documents

Amberdata research

This article outlines factors to assess before depositing token pairs into a decentralized exchange liquidity pool. Liquidity providers receive a share of swap fees, generally represented by redeemable pool tokens, and some pools may also distribute…

DeFiRisk managementVolatilityBacktesting
Amberdata research

This podcast recap discusses how AI agents may interact with crypto assets and decentralized applications, alongside a vision for regulated DeFi that connects conventional banking with self-custodied digital assets. The guest describes agents as systems that…

CryptoDeFiMachine learningDerivatives pricing
Amberdata research

This weekly crypto market report assesses a recovery in prices by combining spot performance with trading volume, volatility, open interest, funding, order book depth, ETF flows, stablecoin issuance, and DeFi credit measures. It interprets rising prices…

CryptoVolatilityMarket microstructureSentiment
Amberdata research

This market snapshot reviews several digital-asset areas: centralized exchange share, spot price moves, futures long-short ratios, DeFi lending activity, and blockchain transaction patterns. It describes Binance losing exchange-volume share after regulatory…

CryptoSpot marketsPerpetual futuresDeFi
Amberdata research

The article outlines ways decentralized finance and smart contracts could alter financial institutions beyond offering new digital asset exposure. It describes decentralized data storage as a possible way to reduce reliance on centralized data centers, and…

DeFiCryptoOn-chain dataExecution
Amberdata research

This podcast recap discusses institutional participation in crypto, the launch of U.S. spot Bitcoin ETFs, the more modest reception of Ethereum ETFs, and regulatory barriers to further products. It describes how financial advisers and smaller offices can…

CryptoSpot marketsUS marketsDeFi
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

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 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 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

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 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 podcast recap discusses Rated’s work on Ethereum proof-of-stake infrastructure data. Validator assessment uses real-time and historical measures such as uptime, efficiency, and protocol adherence to give operators context for improving performance. The…

CryptoDeFiOn-chain dataStatistics
Amberdata research

This webinar recap reviews digital-asset market indicators around Q2 2024, covering Bitcoin exchange-traded fund flows, spot trading, DeFi lending, blockchain transfers, and tokenized real-world assets. It reports that Bitcoin ETF flows cooled in Q2, with…

CryptoSpot marketsDeFiOn-chain data
Amberdata research

The document explains how lending market metrics can help track activity across protocols and networks. It discusses total value locked (TVL), deposits and withdrawals, borrowing and repayments, liquidations, stablecoin use, and user activity. These measures…

DeFiOn-chain dataRisk managementMarket microstructure
Amberdata research

The article outlines how Amberdata datasets can be accessed through Snowflake, Google Analytics Hub, and Databricks. It frames these integrations as a way for institutional researchers and traders to work with historical and fresh digital-asset data using…

CryptoOn-chain dataDeFiMarket microstructure
Amberdata research

This market snapshot links a sharp crypto price swing with changes in centralized exchange activity, DeFi lending flows, and miner behavior. It reports that spot trading volumes recovered after a brief decline, with Binance gaining share and Bybit trading…

CryptoSpot marketsVolatilityOn-chain data
Amberdata research

This document introduces Curve as an automated market maker and lending protocol deployed on Ethereum and other layer 2 networks. Its pools can support multiple tokens, including tokens backed by underlying ERC-20 collateral. Multi-token pools may reduce the…

CryptoDeFiMarket microstructureExecution
Amberdata research

This report reviews digital-asset market developments in Q4 2023 and gives an outlook for 2024. It discusses token prices, circulating supply, market capitalization, Bitcoin spot-exchange share and volume, and activity across blockchain networks and DeFi…

CryptoSpot marketsDeFiSentiment
Amberdata research

This podcast overview introduces Panoptic, a decentralized protocol for minting, trading, and making markets in perpetual put and call options. The conversation is described as covering co-founder Guillaume Lambert’s path from physics into decentralized…

DeFiOptionsDerivatives pricingMarket making
Amberdata research

This market commentary surveys crypto conditions around the period following Ethereum’s Shapella upgrade. It describes a permit-signature scam risk: gasless token approvals can look like ordinary wallet signatures, making it difficult for users to recognize…

CryptoExecutionMarket microstructureFutures