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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

This discussion surveys ways crypto networks might support AI infrastructure and applications, including distributed computing, data contribution and privacy, open model markets, tokenized model ownership, and autonomous agents. The contributors argue that…

CryptoMachine learningDeFiSentiment
OKX Learn

The document introduces AVA, a Solana-based token associated with Holoworld AI, and describes a platform for interactive 3D avatars with distinct personalities and motion video. It points to possible uses in social media, virtual reality, gaming, and…

CryptoMachine learningDeFi
OKX Learn

The document describes Tether AI as a proposed peer-to-peer AI platform combining Bitcoin and USDT payments with an open-source runtime and self-custodial wallet tools. It presents decentralized operation, privacy, and modularity as design goals, and…

CryptoMachine learningExecutionDeFi
OKX Learn

The document introduces KAITO as the token for Kaito AI’s InfoFi network, which it describes as an effort to use AI and blockchain to direct attention and capital. It outlines proposed token functions such as transactions, participant rewards, access to…

CryptoMachine learningDeFi
OKX Learn

The article argues that Web3 projects can use artificial intelligence to improve product utility, user experience, operational efficiency, and security. It frames AI as a response to challenges such as fragmented ecosystems, concerns about scalability, and…

CryptoMachine learningSentimentRisk management
OKX Learn

The document explains homomorphic encryption as a method for computing on encrypted data without first revealing the underlying information. It presents Fhenix as applying this approach to blockchain and decentralized finance, with the goal of keeping…

CryptoDeFiMachine learningRisk management
OKX Learn

The document presents DEEP as a Solana-based token associated with a platform intended to bring AI tools and services together. It says the project launched in early 2025 and describes the token as supporting community contributions, including staking and…

CryptoMachine learningOn-chain dataSpot markets
OKX Learn

The article describes a convergence thesis linking IoTeX’s decentralized physical infrastructure networks with AI applications and Animoca Brands’ blockchain partnerships. It presents decentralized ownership and access as goals for IoTeX, and identifies…

CryptoDeFiSentimentMachine learning
OKX Learn

The article explains Story Protocol’s proposed approach to registering intellectual property on a blockchain and attaching programmable licenses to creative works. It describes records for authorship, ownership changes, remixes, and derivatives, with smart…

CryptoDeFiMachine learningRisk management
OKX Learn

The article surveys altcoin market themes through Mantle’s Layer 2 infrastructure, Bittensor’s decentralized machine learning network, and Sky’s DeFi governance token. It introduces the Altcoin Season Index as a measure of altcoin performance relative to…

CryptoSentimentStatisticsDeFi
OKX Learn

The document explains Akash as a blockchain-based marketplace that connects tenants seeking computing resources with providers offering server or GPU capacity. Tenants specify their needs and budget; providers bid, and a selected offer becomes a lease for…

CryptoDeFiMachine learningRisk management
OKX Learn

The document describes Space and Time as a blockchain data protocol that combines indexed on-chain and off-chain information with cryptographic query verification. Its central concept, Proof of SQL, is presented as a way to establish that query results are…

CryptoDeFiOn-chain dataMachine learning
OKX Learn

The article outlines authorized push payment fraud in crypto, where social engineering persuades victims to send funds themselves. It gives high-yield investment scams as an example and explains that irreversible transfers can make recovery difficult. Its…

CryptoMachine learningOn-chain dataRisk management
OKX Learn

The article outlines Bittensor as a decentralized machine-learning network in which TAO supports contributor rewards and staking. It describes subnets as specialized areas for applications such as image generation and deepfake detection, and frames staking…

CryptoMachine learningRisk managementPosition sizing
OKX Learn

The article distinguishes four stablecoin designs: fiat-backed, crypto-backed, algorithmic, and commodity-backed. It outlines their differing dependencies and risks, including issuer and custodian trust, collateral volatility, peg failure, and physical asset…

CryptoDeFiArbitrageMachine learning
OKX Learn

The document surveys Pi Network’s community, its AI-assisted no-code app studio, fiat purchase integrations, and claims about the Pi token’s market outlook. It describes the app studio as a way for users without programming experience to build decentralized…

CryptoMachine learningTechnical indicatorsSentiment
OKX Learn

The article describes how Bitcoin miners might supplement mining income by repurposing GPU infrastructure for artificial intelligence and high-performance computing workloads. It also discusses long-term hosting contracts with large cloud providers,…

CryptoMachine learningRisk management
OKX Learn

The document surveys several crypto themes: meme coins adding staking or governance features, AI-linked tokens and agents, utility-focused altcoins, Layer-1 networks, and institutional participation. It contrasts hype and social-media attention with attempts…

CryptoDeFiMachine learningFutures
OKX Learn

This investment outlook argues that crypto’s next phase will emphasize capital efficiency, asset settlement, verifiable information, and automated participation. It discusses tokenized Treasuries, equities, and private credit as distinct asset classes with…

CryptoDeFiArbitrageMarket microstructure
OKX Learn

The document describes Oasis Protocol’s ROFL Mainnet as a system for running computations off-chain while retaining blockchain-linked verification and privacy. Its core mechanism is the trusted execution environment (TEE), which runs workloads in secure…

CryptoMachine learningExecutionDeFi
OKX Learn

The document reports a survey of 1,400 U.S. crypto traders about delegating portfolio decisions to AI. About 70% said they would accept autonomous management either without ongoing review or within limits they set. Willingness to grant fully unsupervised…

CryptoMachine learningSentimentRisk management
OKX Learn

The document introduces Numeraire (NMR) as an Ethereum token used in Numerai’s tournament, where data scientists submit models that forecast stock movements. Participants can stake NMR on their predictions; the described incentive design rewards successful…

CryptoEquitiesMachine learningRisk management
OKX Learn

The document outlines Loomlay as a no-code platform for creating and connecting autonomous AI agents, with LAY used for transactions, agent runtime, and plugin access. It says newly launched agent tokens are paired with LAY through one-sided Uniswap v3…

CryptoDeFiMachine learningSpot markets