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

3,736 documents

Kraken Learn

The document describes Humanoids, an Ethereum-based NFT collection of robotic characters, and outlines its two editions: Gen 1 and Gen 1.1. It compares the collection’s visual and collectible framing with CryptoPunks, while emphasizing its polished 3D…

CryptoOn-chain dataDeFi
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 digital-asset market snapshot combines derivatives positioning, spot activity, order-book liquidity, funding, ETF flows, stablecoin supply, and DeFi lending conditions to assess a reported Bitcoin short squeeze. It describes shorts being liquidated more…

CryptoPerpetual futuresMarket microstructureVolatility
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
Amberdata research

This podcast recap explains how real-world assets can be represented on blockchains, with examples including real estate, commodities, stablecoins, and Treasury-backed products. It presents tokenization as a way to broaden access, improve transferability,…

CryptoDeFiOn-chain dataFixed income
Amberdata research

This market snapshot connects crypto news and on-chain activity with spot-market, decentralized exchange, lending, and network indicators. It notes that BTC and ETH pairs remained prominent in centralized exchange dollar volume, while Binance’s share of…

CryptoSpot marketsDeFiMarket microstructure
NautilusTrader

This document describes an adapter for collecting DeFi data from EVM blockchains and making it available through a trading system’s data model. It covers historical and live block feeds, DEX pool discovery, pool event replay, snapshots, and an experimental…

CryptoDeFiExecutionMarket microstructure
Amberdata research

The document describes an institutional data product for analyzing stablecoins across blockchains, decentralized finance, and centralized exchange venues. Its stated analytics include transfers, minting and burning, wallet activity, supply changes,…

CryptoOn-chain dataDeFiMarket microstructure
MQL5 code base

This tutorial describes a grid market-making strategy for dYdX v4. It places buy and sell limit orders at geometrically spaced prices around the mid, then shifts the full grid according to net inventory: a long position moves quotes lower, while a short…

CryptoMarket makingGrid tradingOn-chain data
Kraken Learn

Chiliz is described as a blockchain-based sports fan engagement platform. Its native CHZ token is used to acquire team-specific Fan Tokens, which participating clubs can configure to provide perks such as events, memorabilia, or voting on selected team…

CryptoOn-chain dataSentiment
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

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

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
Cryptohopper blog

This article explains how to combine centralized exchange market data with blockchain data through multiple Model Context Protocol servers. Exchange tools provide prices, candles, and order books; on-chain tools can reveal transfers, holders, decentralized…

CryptoOn-chain dataMarket microstructureExecution
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 study builds separate XGBoost models to predict next-day Ethereum volatility from activity in the USDC, USDT, and DAI lending ecosystems. Features include lagged borrowing, repayment, and flash-loan measures, plus seven-day averages. It uses time-series…

CryptoDeFiVolatilityMachine learning
Amberdata research

The document outlines methods for investigating suspicious cryptocurrency activity through transaction graphs, address clustering, and tracing funds across chains. It explains that investigators may infer common control from shared transaction inputs, but…

CryptoOn-chain dataMachine learningRisk management
Amberdata research

The report explains how AAVE v2 liquidators repay part of an undercollateralized loan and receive collateral with a protocol bonus. It examines stablecoin debt backed by ETH from 2021 to 2023, relating liquidation activity to ETH price drops and volatility.…

CryptoDeFiOn-chain dataExecution
Cryptohopper blog

The article surveys common cryptocurrency frauds, grouping them into attempts to gain access to a wallet and schemes that persuade victims to transfer assets. Examples include fake websites and apps, phishing, pump-and-dump promotions, romance and Ponzi…

CryptoRisk managementOn-chain data
Amberdata research

This report examines whether Bitcoin blockchain, exchange, investor, and miner measures move alongside price volatility in bull and bear phases. It groups indicators into institutional valuation and unrealized-profit measures, exchange liquidity and ETF…

CryptoOn-chain dataVolatilityStatistics