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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

Bitget Academy

The article reviews Anthropic’s private-company status, enterprise AI business, strategic partnerships, reported growth, and competitive position. It describes the company’s focus on Claude and safety-oriented model development, then discusses potential…

EquitiesMachine learningStatisticsRisk management
Bitget Academy

The article presents IQ as a blockchain and cryptocurrency information ecosystem organized around a utility and governance token. It describes IQ.wiki as an encyclopedia whose content is recorded using Polygon and IPFS, IQ GPT as an assistant built around…

CryptoOn-chain dataMachine learningSpot markets
Bitget Academy

The document explains that GALA price forecasts can differ because they use different methods and assumptions. It contrasts algorithmic forecasts, which extrapolate from historical prices and trends, with analyst assessments that may consider ecosystem…

CryptoMachine learningStatistics
Bitget Academy

The document explains Succinct as infrastructure for generating and verifying zero-knowledge proofs. Its SP1 virtual machine is presented as a way for developers to use familiar programming languages to produce proofs, while a decentralized prover…

CryptoDeFiMachine learning
Bitget Academy

The article presents Billions Network as a decentralized identity protocol intended to let people and AI agents prove selected attributes without disclosing the underlying personal information. It explains the role of zero-knowledge proofs in…

CryptoMachine learningRisk managementDeFi
Bitget Academy

The document contrasts conventional automated trading bots with a structured strategy workflow called GetAgent Playbook. Bots typically execute rules, indicators, or algorithms that users configure, such as grid orders or moving-average triggers. A Playbook…

CryptoMachine learningRisk managementExecution
Bitget Academy

The article presents a conversational AI assistant as a way to turn a trader’s questions, stated goals, and market context into a crypto trading plan. Its example considers a trader exposed to ETH and interested in meme coins. The assistant is described as…

CryptoMachine learningTechnical indicatorsRisk management
Bitget Academy

The document describes Dtec Technology as a connected driving ecosystem built around a voice assistant, an AI engine, IoT controls, and blockchain-based data handling. The assistant is presented as interpreting natural language and driver behavior, while the…

CryptoMachine learningOn-chain dataSpot markets
Bitget Academy

The document outlines Ultiverse, a blockchain gaming ecosystem that combines AI tools, NFTs, and interconnected virtual worlds. Its Bodhi Protocol is described as supporting customizable AI characters and small game worlds. Developer tools, a media platform,…

CryptoDeFiOn-chain dataMachine learning
Bitget Academy

This guide proposes a data-oriented process for selecting cryptocurrency trading bots or their operators for copy trading. It recommends reviewing total and recent returns, operating history, return stability, maximum drawdown, copier counts, user feedback,…

CryptoMachine learningBacktestingRisk management
Bitget Academy

The document describes Chainbase as a decentralized infrastructure network that gathers, structures, and serves data from multiple blockchains and other sources. It explains that programmable Manuscripts organize raw information for applications, while…

CryptoOn-chain dataDeFiMachine learning
Bitget Academy

The document describes UnifAI as infrastructure for AI agents that can find, combine, and execute tools across DeFi protocols. Its architecture spans protocol adapters, an agent layer, developer applications, on-chain coordination, and supporting…

CryptoDeFiMachine learningOn-chain data
Bitget Academy

The document surveys how scammers use AI to make crypto fraud more convincing. It describes personalized phishing messages and deepfakes, adaptive malware and automated password attacks, fabricated investment materials and chatbots, and AI-generated hype or…

CryptoRisk managementMachine learningOn-chain data
Bitget Academy

The document presents 0G as a modular Layer 1 blockchain intended to support decentralized AI applications. It describes a system combining compute, storage, data availability, and a marketplace for models and services. The stated goal is to make AI…

CryptoMachine learningOn-chain dataDeFi
Bitget Academy

The article reviews Nvidia’s reported $2 billion equity investment in Synopsys and a non-exclusive partnership to integrate accelerated computing and AI into engineering and design software. It frames the agreement as a potential growth catalyst for…

EquitiesUS marketsMachine learningRisk management
Bitget Academy

The article compares Nvidia and Tesla as investments tied to artificial intelligence and electric vehicles. It presents Nvidia’s growth case through demand for AI chips, data centers, cloud services, and adjacent markets, citing reported fiscal 2025 revenue…

EquitiesUS marketsMachine learningMomentum
Bitget Academy

The article presents Bombie as a mini-game playable through Telegram and LINE, where users earn points through missions, events, and rankings. It describes BOMB as a token intended for gameplay, governance, and staking, and outlines a player-focused…

CryptoMachine learningSentimentSpot markets
Bitget Academy

The document describes GAME as a modular framework for building autonomous agents that can plan and act across platforms. Its central design separates a High-Level Planner, which sets goals, context, and available actions, from a Low-Level Planner, which…

CryptoMachine learningExecution
Bitget Academy

The article links TSMC's reported quarterly revenue and profit growth to demand for advanced chips used in artificial intelligence and high-performance computing. It highlights the reported contribution of advanced manufacturing nodes, customer demand from…

EquitiesMachine learningFactor investingRisk management
Bitget Academy

The article considers whether weakness in technology equities could influence interest in crypto projects associated with artificial intelligence. It frames the tech selloff as a response to concerns about elevated expectations and slower growth, while…

CryptoEquitiesSentimentVolatility
Bitget Academy

This article describes Treasure NFT as a marketplace that applies algorithmic pricing to NFTs, with the stated aims of smoothing price changes and making trading more accessible. It says the platform sets prices through predefined rules and claims daily…

CryptoMachine learningMarket microstructureRisk management
Bitget Academy

The article introduces Zama's use of fully homomorphic encryption (FHE), which allows computation on encrypted data, and describes tools for applying it to applications and smart contracts. It names a Rust library, a compiler for encrypted programs, a…

CryptoDeFiOn-chain dataMachine learning
Bitget Academy

This article presents Groq as a private AI hardware company focused on inference chips, and frames NVIDIA’s reported interest in Groq technology and personnel as a strategic move in the competition between training and inference hardware. It argues that…

EquitiesUS marketsMachine learningRisk management
Bitget Academy

The document presents Web 3.0 as a proposed shift from static publishing and social platforms toward a more decentralized internet. It contrasts the read-only model associated with Web 1.0 and the interactive model of Web 2.0 with a vision centered on user…

CryptoDeFiMachine learning