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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
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

5,018 documents

OKX Learn

The article outlines Blockchain-MLTrustNet, a proposed framework for trust management in Internet of Vehicles networks. It combines adaptive graph sharding, which partitions a network according to vehicle mobility and transaction density, with deep…

CryptoMachine learningStatisticsRisk management
OKX Learn

This overview presents Cocoon as a decentralized AI compute marketplace built on TON, connecting GPU providers with developers who need processing capacity. GPU owners are described as earning Toncoin for completing AI workloads. For confidential processing,…

CryptoMachine learningOn-chain data
OKX Learn

The document presents Hive AI as a modular network of agents intended to coordinate on-chain and off-chain tasks in decentralized finance. The described applications include portfolio management, risk analysis, trading, sentiment analysis, token analysis,…

CryptoDeFiMachine learningSentiment
OKX Learn

The document introduces Bittensor as a decentralized machine learning network organized around subnets, and describes TAO’s scheduled issuance reduction. It compares TAO’s capped supply and halving structure with Bitcoin’s, presenting lower issuance as a…

CryptoMachine learningEvent-drivenOn-chain data
OKX Learn

The document introduces Bittensor as a blockchain network that rewards participants for contributing machine-learning models, rather than for solving proof-of-work puzzles. It describes subnets as specialized networks for tasks such as data storage, protein…

CryptoMachine learningOn-chain dataStatistics
OKX Learn

The report reviews Q3 crypto conditions and OKX Ventures’ investments across Bitcoin, Ethereum, public chains, AI, and blockchain data. It connects Federal Reserve rate cuts and reported spot Bitcoin ETF inflows with market conditions, and cites Ethereum…

CryptoOn-chain dataDeFiMachine learning
OKX Learn

The document surveys proposed uses of artificial intelligence in decentralized finance, especially routing trades across exchanges and managing liquidity pools. It describes algorithms that compare routes to reduce slippage and transaction costs, alongside…

CryptoDeFiMachine learningExecution
OKX Learn

The article presents Bittensor as a blockchain network that rewards contributors to decentralized machine learning. It describes nodes contributing model training, data, or computing resources in exchange for TAO, and contrasts this incentive model with…

CryptoMachine learningDeFiPortfolio construction
OKX Learn

The article presents Cookie DAO as an analytics and data platform for tracking crypto AI agents. Its dashboard is described as combining blockchain and social signals, including market capitalization, engagement, token-holder growth, and impressions, with a…

CryptoMachine learningSentimentOn-chain data
OKX Learn

The article surveys cryptocurrencies linked to artificial intelligence, describing proposed uses such as decentralized AI services, data analysis, automation, and blockchain efficiency. It connects interest in these tokens to Nvidia’s hardware and…

CryptoMachine learningSentimentVolatility
OKX Learn

The document presents Manus as a general-purpose AI agent that runs tasks asynchronously in the cloud, allowing a user to leave while work continues. Examples include building websites, analyzing stock trends, comparing insurance policies, sourcing…

CryptoMachine learningEquities
OKX Learn

The article describes zkWASM as a way to combine zero-knowledge proofs with WebAssembly execution. Zero-knowledge proofs can let a verifier check a claim without seeing the underlying information, while WebAssembly provides a runtime for applications written…

CryptoDeFiMachine learning
OKX Learn

This article surveys Web3 developments in financial access, stablecoins, startup support, leadership, social platforms, and decentralized AI. It describes BreadAfrica as connecting crypto and fiat services across several African countries, with emergency…

CryptoDeFiMachine learningMulti-asset
OKX Learn

This article explains Bittensor as a blockchain-based marketplace where AI model contributors are rewarded according to utility or performance. It places the project within decentralized infrastructure networks and describes its transition from a Polkadot…

CryptoMachine learningTechnical indicatorsVolatility
OKX Learn

The document introduces HeyAnon as a DeFi platform that uses conversational AI and aggregated information to help users interact with on-chain services. It describes natural-language requests for activities such as staking, swapping, and borrowing, alongside…

CryptoDeFiMachine learningSentiment
OKX Learn

The document introduces Boundless (ZKC) as a blockchain protocol using zero-knowledge proofs to support privacy and scalability. It describes integration with RISC Zero’s zkVM, where computations are performed off-chain and proofs are used to support…

CryptoDeFiMachine learningRisk management
OKX Learn

The document attributes NOVA’s reported price decline to several possible pressures: a broader crypto downturn, macroeconomic uncertainty, regulation, and a lack of project updates. It argues that smaller crypto assets may be especially volatile when…

CryptoVolatilitySentimentMachine learning
OKX Learn

The article surveys several developments in crypto markets: stablecoin use for payments and cross-border transfers, artificial intelligence tools for trading and fraud detection, tokenization of assets such as property, gold, and government debt, emerging…

CryptoDeFiMachine learningFixed income
OKX Learn

The article explains Verasity as a blockchain project aimed at reducing digital advertising fraud. Its core concept is Proof of View, a system said to analyze ad views and interactions in real time, using machine learning to identify bots and fraudulent…

CryptoMachine learningRisk managementSpot markets
OKX Learn

The document introduces autonomous software agents in crypto and describes several project models. Virtuals Protocol is presented as a system for tokenizing agents and sharing their revenue among co-owners. Other examples include a gaming agent that…

CryptoMachine learningDeFi
OKX Learn

The document surveys uses of zero-knowledge proofs across blockchain infrastructure, including Ethereum rollups, decentralized identity, real-world asset tokenization, decentralized exchanges, and applications in DeFi, gaming, and NFTs. It describes rollups…

CryptoDeFiMachine learning
OKX Learn

The article introduces crypto tokens tied to AI services and describes their possible roles in transactions, governance, and access to decentralized applications. It profiles five projects: a decentralized AI alliance, a GPU rendering marketplace, an…

CryptoMachine learningDeFi
OKX Learn

The article explains why Bitcoin mining companies may diversify into artificial intelligence and high-performance computing (HPC). It links this shift to pressure on mining economics, including lower block rewards after halving events and rising energy…

CryptoMachine learningRisk management
OKX Learn

The document introduces decentralized science, or DeSci, as an effort to apply blockchain tools to scientific funding and research. It describes Sapien Capital, a fund established by the Sei Foundation, as investing in both tokens and equity, with a focus on…

CryptoDeFiMachine learningRisk management