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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
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

163 documents

Kraken Learn

The document offers general criteria for comparing crypto exchange staking services: supported assets, fee levels, reward transparency, security practices, and whether staking is flexible or tied to a fixed term. It notes that flexible access can come with…

CryptoRisk management
Kraken Learn

The document introduces USDC as a stablecoin designed to track the US dollar. It says the token launched on Ethereum in 2018 and is now available across several major blockchains, giving a brief overview of its development and distribution. It also…

CryptoSpot markets
Kraken Learn

The document explains permissionlessness as the ability to use a financial network without asking a central intermediary to authorize each action. It describes public blockchains as open networks where participants can join, contribute computing resources,…

CryptoSpot marketsOn-chain data
Kraken Learn

This survey article examines how U.S. cryptocurrency holders view and use memecoins. It reports that 85% of respondents invest in them and that 76% consider the potential reward worth the risk. The article describes price volatility and the prospect of…

CryptoSentimentVolatilityStatistics
Kraken Learn

A bear trap is a brief move below apparent support that draws traders into short positions before the price reverses upward. As short sellers close losing positions, their buying can add to the rebound. The document describes this pattern as a misleading…

Technical indicatorsBreakoutRisk management
Kraken Learn

This survey report describes crypto holders’ experiences with fraud, theft, and common account or transaction mistakes. It says many respondents worry more about errors they might make themselves than attacks by others, and that security concerns have kept…

CryptoDeFiRisk managementSentiment
Kraken Learn

This short investor overview links semiconductor demand to continued investment in artificial intelligence infrastructure, data centers, and edge computing. It also notes the sector's role in cloud computing, electric vehicles, and industrial automation.…

EquitiesUS marketsFactor investingRisk management
Kraken Learn

The document discusses features that matter when selecting a cryptocurrency exchange for day trading: reliability, security, regional access, liquidity, fees, charting, order types, leverage, and API support. It describes maker-taker pricing, volume-based…

CryptoExecutionRisk managementMarket microstructure
Kraken Learn

The document explains Ethereum’s transition from proof of work to proof of stake through the integration of the Beacon Chain with the main network. Under proof of work, miners competed to validate transactions through computation; after the transition,…

CryptoDeFiOn-chain data
Kraken Learn

This overview describes how Canadian taxpayers may report crypto activity under capital gains or business income treatment. It states that classification depends on the nature of the taxpayer’s activities: capital gains are taxed on half the gain, while…

CryptoRisk management
Kraken Learn

The document explains that cryptocurrency mining supplies computational work used to secure proof-of-work networks. Participants contribute computing power to the network’s consensus process and may receive block rewards in the network’s native…

CryptoMarket microstructure
Kraken Learn

The document explains RSI divergence as a mismatch between price movement and momentum measured by the Relative Strength Index. It distinguishes regular divergence, which can point to a possible reversal, from hidden divergence, which may support…

CryptoTechnical indicatorsMomentumRisk management
Kraken Learn

The document explains Runes, a protocol for creating fungible tokens on Bitcoin. Rather than relying on inscription data attached to individual satoshis in the manner described for BRC-20 tokens, Runes uses Bitcoin’s UTXO transaction model. Transaction…

CryptoSpot marketsOn-chain dataDeFi
Kraken Learn

The document explains that stablecoin returns generally come from lending or depositing tokens with centralized platforms or decentralized lending protocols. It distinguishes custodial services from on-chain options, where rates can vary with borrower…

CryptoDeFiRisk managementOn-chain data
Kraken Learn

The excerpt describes Bitcoin’s early price development, focusing on its transition from minimal movement in 2010 to crossing the one-dollar mark in 2011 and briefly rising above eight dollars. It also explains the 2012 halving, when the block reward fell…

CryptoVolatilityEvent-driven
Kraken Learn

The article presents chart patterns as possible ways to frame trade direction, entry, and invalidation. Its example uses a bull flag on an hourly chart: wait for a close above the upper boundary before entering, and treat a close below the lower boundary as…

CryptoTechnical indicatorsBreakoutRisk management
Kraken Learn

The document defines algorithmic stablecoins as digital assets designed to track fiat currencies, usually the US dollar, without relying on backing by real assets. Instead, their mechanisms use algorithms, commonly by adjusting circulating token supply in…

CryptoDeFiOn-chain dataRisk management
Kraken Learn

This overview introduces decentralized finance protocols and outlines how users may access them. It describes decentralized exchanges for swapping cryptoassets and lending protocols for borrowing or earning interest. Smart contracts automate processes that…

CryptoDeFiRisk management
Kraken Learn

The document introduces decentralized finance as a blockchain-based ecosystem for services such as trading, lending, and borrowing. It presents these services as alternatives that can make financial tools more accessible and transparent than traditional…

CryptoDeFi