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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

5,018 documents

OKX Learn

This article introduces Aethir as a decentralized GPU cloud service for AI, gaming, and other computing workloads. It describes ATH as the ecosystem’s utility token and reports a fixed supply of 42 billion. The article claims the service can cost 40–80% less…

CryptoDeFiMachine learning
OKX Learn

The document describes Numerai as a hedge fund that gathers predictive models from outside data scientists and uses Numeraire tokens for staking on their forecasts. The staking arrangement is presented as a way for contributors to signal confidence and…

Machine learningCryptoStatisticsFactor investing
OKX Learn

The article describes ways crypto tokens may capture value through recurring utility, ecosystem activity, governance, and revenue flows. It contrasts speculative demand with demand tied to network services, and presents adaptive tokenomics as a model that…

CryptoDeFiMachine learning
OKX Learn

The document describes AGT as the governance and incentive token for Alaya AI, a decentralized platform that rewards contributors for supplying labeled data used in AI training. It reports a maximum supply of 5 billion tokens, with stated allocations for…

CryptoMachine learningDeFiSentiment
OKX Learn

The document surveys applications of artificial intelligence in financial services, including fraud detection, cybersecurity, conversational banking, credit assessment, and support for people without access to traditional banking. It also explains…

Machine learningCryptoDeFiFixed income
OKX Learn

The document explains IoTeX as a blockchain platform intended to connect physical devices, decentralized infrastructure networks, and AI applications. It describes a modular architecture with an EVM-compatible Layer 1, W3bstream for off-chain processing of…

CryptoDeFiMachine learningOn-chain data
OKX Learn

The document describes Kaito as an AI-oriented crypto research platform that aims to combine blockchain data, news, and social signals for search and analysis. It lists possible uses such as asset research, dashboards, and surfacing signals, but provides…

CryptoMachine learningSentimentOn-chain data
OKX Learn

The article introduces Kadena’s blockchain explorer as a way to inspect transactions, smart contracts, and network activity, then summarizes the network’s design and KDA’s role. It describes KDA as the token used for transaction fees and miner compensation,…

CryptoDeFiOn-chain dataMachine learning
OKX Learn

The document recounts PIPPIN’s origin as an AI-generated unicorn image that became a Solana memecoin, and identifies developer Yohei Nakajima as its creator. It describes the project’s proposed AI features: a language-model-driven loop that selects…

CryptoDeFiMachine learningSentiment
OKX Learn

The document explains Base as an Ethereum Layer 2 built with the Optimism OP Stack. Its optimistic rollup approach batches transactions off the main chain for execution and settles them on Ethereum; EVM compatibility supports porting applications. Base uses…

CryptoDeFiOn-chain dataMachine learning
OKX Learn

The document introduces Bittensor as a blockchain network that organizes AI services into specialized subnets. It describes the TAO token as serving staking, governance, and payment functions, while contributors are rewarded for providing models or services.…

CryptoMachine learningDeFiSentiment
OKX Learn

The document describes decentralized computing as distributing workloads across multiple nodes, then applies that model to AI inference using resources such as GPUs and household devices. It presents blockchain as a way to coordinate collaboration and…

CryptoMachine learningDeFi
OKX Learn

The document presents Moby AI as a crypto-focused assistant intended to support portfolio analysis, tax tasks, and trade discovery. It describes MOBY as an Ethereum-based token and reports an early access sale followed by an initial coin offering in 2023,…

CryptoMachine learningPortfolio constructionDeFi
OKX Learn

The article describes Pi Network’s use of AI to process identity checks, combining automated handling with human review for complex cases. It reports that merging two KYC workflows reduced the pending manual-review backlog by 50%, and gives figures for…

CryptoMachine learningOn-chain dataRisk management
OKX Learn

The document introduces IoTeX as a blockchain ecosystem intended to connect Internet of Things devices with Web3 applications. It names several components of that vision: Roll-DPoS consensus, the MachineFi initiative for monetizing device data, W3bstream for…

CryptoDeFiOn-chain dataMachine learning
OKX Learn

The article outlines how AI trading systems use machine learning, reinforcement learning, and natural language processing to find patterns, interpret text sentiment, and automate strategy decisions. It describes backtests and scenario simulations as ways to…

Machine learningBacktestingSentimentRisk management
OKX Learn

The article surveys changes in cryptocurrency mining, focusing on renewable power, ESG practices, cloud mining, AI operations, industry partnerships, and pressure to improve efficiency around Bitcoin halvings. It describes cloud mining as renting capacity in…

CryptoMachine learningRisk management
OKX Learn

The document describes PIPPIN, a Solana memecoin built around an AI-driven unicorn character. It traces the project to an SVG image created by Yohei Nakajima and connects its framing to his BabyAGI work. The token is presented as a way to unite a community…

CryptoSentimentMachine learningOn-chain data
OKX Learn

The document describes Cookie DAO as a data and indexing platform for AI agents operating across blockchains and social media. Its Cookie.fun dashboard is said to track agents using measures such as market capitalization, social engagement, token-holder…

CryptoMachine learningOn-chain dataSentiment
OKX Learn

The document outlines Fetch.ai’s combination of blockchain infrastructure and AI-driven automation. It describes FET as the network’s utility token and says the project operates a Cosmos-SDK chain using Tendermint proof of stake, with interoperability…

CryptoMachine learningArbitrage
OKX Learn

The article surveys blockchain themes presented at Token2049, including decentralized physical infrastructure networks (DePIN), AI and blockchain integration, real-world asset tokenization, cross-chain interoperability, privacy, and decentralized governance.…

CryptoDeFiMachine learningOn-chain data
OKX Learn

The article surveys ways blockchain identity tools could help establish trust in AI-driven settings. It describes decentralized identifiers and verifiable credentials for checking people’s skills and work history, with zero-knowledge proofs as a way to…

CryptoDeFiMachine learningRisk management
OKX Learn

The article examines Interactive Strength’s proposal to build a corporate treasury around Fetch.ai’s FET token and connect Fetch.ai’s autonomous agent technology with digital fitness services. It describes an initial funding commitment and says the much…

CryptoMachine learningRisk managementTechnical indicators