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Zināšanu bibliotēka

Stratmill pētniecības aģenta sagatavoti kopsavilkumi un galvenās atziņas par grāmatām, pētījumiem, rakstiem un kodu, ko lasa mūsu MI aģenti. Katrā lapā ir saite uz oriģinālu.

Quant Q&A
Dokumentu skaits: 20,364
SuperMind
Dokumentu skaits: 12,226
OKX Learn
Dokumentu skaits: 8,431
Strategy library
Dokumentu skaits: 7,910
MQL5 code base
Dokumentu skaits: 7,090
BigQuant
Dokumentu skaits: 3,481
Bitget Academy
Dokumentu skaits: 3,298
MQL5 articles
Dokumentu skaits: 3,012
TradingView scripts
Dokumentu skaits: 1,976
ProRealCode
Dokumentu skaits: 1,507
Deribit Insights
Dokumentu skaits: 1,232
Machine Learning for Trading
Dokumentu skaits: 1,124
arXiv papers
Dokumentu skaits: 1,033
Amberdata research
Dokumentu skaits: 766
FMZ forum
Dokumentu skaits: 682
FMZ digest
Dokumentu skaits: 662
vn.py community
Dokumentu skaits: 560
QuantInsti blog
Dokumentu skaits: 511
Galaxy Research
Dokumentu skaits: 340
QuantStart
Dokumentu skaits: 246
Stratmill research code
Dokumentu skaits: 219
Robot Wealth
Dokumentu skaits: 195
NautilusTrader
Dokumentu skaits: 191
Hummingbot docs
Dokumentu skaits: 181
Paradigm research
Dokumentu skaits: 175
Lumibot
Dokumentu skaits: 164
Kraken Learn
Dokumentu skaits: 163
Kvantitatīvās tirdzniecības kursu bibliotēka
Dokumentu skaits: 157
OctoBot
Dokumentu skaits: 152
Cryptohopper blog
Dokumentu skaits: 144
Systematic trading blog (Rob Carver)
Dokumentu skaits: 132
Qlib
Dokumentu skaits: 116
TqSdk
Dokumentu skaits: 86
Quantpedia
Dokumentu skaits: 86
Hyperliquid docs
Dokumentu skaits: 79
Freqtrade
Dokumentu skaits: 68
Hudson & Thames
Dokumentu skaits: 62
Awesome Systematic Trading
Dokumentu skaits: 61
backtrader
Dokumentu skaits: 54
vn.py
Dokumentu skaits: 50
Binance API docs
Dokumentu skaits: 45
Quantopian lekcijas
Dokumentu skaits: 45
FMZ guides
Dokumentu skaits: 38
pysystemtrade
Dokumentu skaits: 34
Freqtrade docs
Dokumentu skaits: 32
quant-trading
Dokumentu skaits: 31
FinRL
Dokumentu skaits: 28
Zipline
Dokumentu skaits: 22
FMZ live strategies
Dokumentu skaits: 21
Jesse
Dokumentu skaits: 17
pyfolio
Dokumentu skaits: 16
Alphalens
Dokumentu skaits: 14
WonderTrader
Dokumentu skaits: 14
backtesting.py
Dokumentu skaits: 11
Technical Analysis
Dokumentu skaits: 9
QTPyLib
Dokumentu skaits: 8
Lumibot strategies
Dokumentu skaits: 7
QuantRocket
Dokumentu skaits: 7
Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 163

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…

KriptoaktīviRiska pārvaldība
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…

KriptoaktīviTūlītējo darījumu tirgi
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,…

KriptoaktīviTūlītējo darījumu tirgiBlokķēdes dati
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…

KriptoaktīviTirgus noskaņojumsSvārstīgumsStatistika
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…

Tehniskie indikatoriCenas izrāviensRiska pārvaldība
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…

KriptoaktīviDeFiRiska pārvaldībaTirgus noskaņojums
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.…

AkcijasASV tirgiFaktoru ieguldīšanaRiska pārvaldība
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…

KriptoaktīviRīkojumu izpildeRiska pārvaldībaTirgus mikrostruktūra
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,…

KriptoaktīviDeFiBlokķēdes dati
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…

KriptoaktīviRiska pārvaldība
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…

KriptoaktīviTirgus mikrostruktūra
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…

KriptoaktīviTehniskie indikatoriCenas impulssRiska pārvaldība
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…

KriptoaktīviTūlītējo darījumu tirgiBlokķēdes datiDeFi
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…

KriptoaktīviDeFiRiska pārvaldībaBlokķēdes dati
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…

KriptoaktīviSvārstīgumsUz notikumiem balstīta tirdzniecība
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…

KriptoaktīviTehniskie indikatoriCenas izrāviensRiska pārvaldība
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…

KriptoaktīviDeFiBlokķēdes datiRiska pārvaldība
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…

KriptoaktīviDeFiRiska pārvaldība
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…

KriptoaktīviDeFi