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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
QuantRocket
Dokumentu skaits: 7
Lumibot strategies
Dokumentu skaits: 7
Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 766

Amberdata research

This study builds separate XGBoost models to predict next-day Ethereum volatility from activity in the USDC, USDT, and DAI lending ecosystems. Features include lagged borrowing, repayment, and flash-loan measures, plus seven-day averages. It uses time-series…

KriptoaktīviDeFiSvārstīgumsMašīnmācīšanās
Amberdata research

The document explains how to use spot market volume data to assess activity, liquidity, exchange concentration, and trading interest across tokens and quote currencies. It describes comparing dollar volume over time, reviewing each exchange’s share, tracking…

KriptoaktīviTūlītējo darījumu tirgiTirgus mikrostruktūraTirgus noskaņojums
Amberdata research

This webinar overview summarizes a macro discussion about high debt-to-GDP levels, central-bank balance-sheet expansion, and geopolitical risk as forces that may weaken confidence in fiat currencies and encourage interest in Bitcoin. The speakers compare the…

KriptoaktīviFiksēta ienākuma instrumentiValūtu tirgus
Amberdata research

This market report attributes Bitcoin's decline to several concurrent pressures: inflation concerns, elevated Treasury yields, geopolitical uncertainty, and a reduction in demand for risk assets. It describes hedge funds buying spot Bitcoin through…

KriptoaktīviArbitrāžaRiska pārvaldība
Amberdata research

The document outlines methods for investigating suspicious cryptocurrency activity through transaction graphs, address clustering, and tracing funds across chains. It explains that investigators may infer common control from shared transaction inputs, but…

KriptoaktīviBlokķēdes datiMašīnmācīšanāsRiska pārvaldība
Amberdata research

The report explains how AAVE v2 liquidators repay part of an undercollateralized loan and receive collateral with a protocol bonus. It examines stablecoin debt backed by ETH from 2021 to 2023, relating liquidation activity to ETH price drops and volatility.…

KriptoaktīviDeFiBlokķēdes datiRīkojumu izpilde
Amberdata research

This market snapshot examines a sharp crypto selloff and its effects across centralized exchanges, decentralized trading, lending, and on-chain sentiment measures. It reports that spot and Uniswap V3 activity surged during the August 5 decline, with…

KriptoaktīviTūlītējo darījumu tirgiDeFiArbitrāža
Amberdata research

The podcast account follows Jake Ostrovskis’s move from global macro trading into crypto OTC markets. It describes his focus on fair value and volatility dislocations, and the OTC desk’s role in arranging large or tailored trades across spot, options, CFDs,…

KriptoaktīviOpcijasSvārstīgumsTirgus veidošana
Amberdata research

This market snapshot links macroeconomic conditions with Bitcoin and Ethereum developments. It discusses strong US employment data and Federal Reserve expectations, compares reported outflows from Bitcoin ETFs with steadier Ethereum ETF flows, and reviews…

KriptoaktīviTirgus noskaņojumsSvārstīgums
Amberdata research

This podcast recap describes Loop Crypto’s approach to recurring cryptocurrency payments. Because ordinary crypto wallets send funds through user-initiated transactions, collecting subscriptions is less convenient than card-based payment collection. Loop’s…

KriptoaktīviRīkojumu izpildeTirgus mikrostruktūraDeFi
Amberdata research

The newsletter links Bitcoin’s recent weakness to U.S. market sentiment and argues that BTC continues to behave like a risk-sensitive asset. It notes rising Bitcoin volatility and shifting institutional options activity between IBIT and Deribit. It also…

KriptoaktīviOpcijasSvārstīgumsTirgus noskaņojums
Amberdata research

The document analyzes a sharp crypto market selloff through price moves, liquidations, open interest, funding, order book depth, imbalance, and spreads. It describes a two-stage explanation: macro events first pushed prices lower, then leveraged positions…

KriptoaktīviPerpetuālie nākotnes līgumiTirgus mikrostruktūraRiska pārvaldība
Amberdata research

This market recap describes how Bitcoin and Ether derivatives changed during a sharp Bitcoin rally linked in the document to positive news about BlackRock and EDX Markets. It tracks realized volatility, term structure, option skew, trading volume, and dealer…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Amberdata research

This market recap interprets Bitcoin and Ethereum options through realized and implied volatility, term structure, skew, option flows, and dealer gamma positioning. It describes Bitcoin volatility rising as spot tested resistance and Ethereum volatility…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Amberdata research

This podcast summary introduces Superstate's approach to representing traditional financial assets on a blockchain. Its featured product, USTB, is described as a tokenized short-term US government bond product. The discussion centers on using blockchain to…

Fiksēta ienākuma instrumentiDeFiKriptoaktīviAtvasināto instrumentu cenu noteikšana
Amberdata research

The snapshot combines macroeconomic news with market indicators for Bitcoin, Ether, and Solana. It discusses modest inflation relief alongside tariff and interest-rate concerns, a large loss from a highly leveraged Ether position, and the U.S. decision to…

KriptoaktīviNākotnes līgumiTirgus noskaņojumsTehniskie indikatori
Amberdata research

The report studies temporal changes in order-book depth and imbalance for Binance’s BTC/FDUSD market using minute-level data collected from July 1 to August 12, 2025. It describes an intraday depth peak around 11:00 UTC and a trough around 21:00 UTC,…

KriptoaktīviTirgus mikrostruktūraRīkojumu izpildeStatistika
Amberdata research

This report compares hourly Bitcoin returns, volatility, and trading volume across Binance, Bybit, Coinbase, HTX, Kraken, and OKX. It groups activity by the trading hours of several regions, using standard deviation of hourly returns as a volatility proxy…

KriptoaktīviSvārstīgumsStatistikaTirgus mikrostruktūra
Amberdata research

The article argues that a sharp selloff in World Liberty Financial Token (WLFI) preceded a broader cryptocurrency decline and may have offered an early warning of market stress. It highlights a reported surge in WLFI trading volume after tariff news,…

KriptoaktīviTirgus mikrostruktūraPerpetuālie nākotnes līgumiSvārstīgums
Amberdata research

This market recap reviews BTC and ETH options conditions during a week when spot prices drifted lower and realized volatility eased. Implied volatility also declined, but less than realized volatility, which the author says returned volatility carry to…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Amberdata research

The document outlines Lyra V2 as a decentralized options venue that replaced its earlier automated market maker model with a gasless central limit order book and on-chain settlement. It describes an app-chain architecture based on an optimistic Layer 2…

KriptoaktīviOpcijasAtvasināto instrumentu cenu noteikšanaRiska pārvaldība
Amberdata research

This market update reviews three developments in crypto derivatives: August activity at Deribit, the launch of Bumper, and Kraken’s plans to expand its derivatives business. It reports that Deribit’s volume rose while global derivatives volume fell, with…

KriptoaktīviOpcijasNākotnes līgumiSvārstīgums
Amberdata research

This report examines whether Bitcoin blockchain, exchange, investor, and miner measures move alongside price volatility in bull and bear phases. It groups indicators into institutional valuation and unrealized-profit measures, exchange liquidity and ETF…

KriptoaktīviBlokķēdes datiSvārstīgumsStatistika