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Quant Q&A
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SuperMind
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OKX Learn
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Strategy library
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MQL5 code base
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BigQuant
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Bitget Academy
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MQL5 articles
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TradingView scripts
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ProRealCode
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Deribit Insights
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Machine Learning for Trading
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arXiv papers
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Amberdata research
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FMZ forum
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FMZ digest
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vn.py community
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QuantInsti blog
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Galaxy Research
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QuantStart
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Stratmill research code
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Robot Wealth
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NautilusTrader
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Hummingbot docs
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Paradigm research
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Lumibot
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Kraken Learn
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Kvantitatīvās tirdzniecības kursu bibliotēka
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OctoBot
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Cryptohopper blog
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Systematic trading blog (Rob Carver)
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Qlib
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TqSdk
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Quantpedia
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Hyperliquid docs
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Freqtrade
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Hudson & Thames
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Awesome Systematic Trading
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backtrader
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vn.py
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Binance API docs
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Quantopian lekcijas
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FMZ guides
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pysystemtrade
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Freqtrade docs
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quant-trading
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FinRL
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Zipline
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FMZ live strategies
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Jesse
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pyfolio
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WonderTrader
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Alphalens
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backtesting.py
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Technical Analysis
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QTPyLib
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Lumibot strategies
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QuantRocket
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Awesome Quant
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Meklēt bibliotēkā

Dokumentu skaits: 766

Amberdata research

Gamma exposure (GEX) describes how an option’s delta changes as the underlying asset moves. The document explains why this matters in crypto options: as delta shifts, market makers may adjust their hedges, creating flows that can affect volatility and…

KriptoaktīviOpcijasAtvasināto instrumentu cenu noteikšanaRiska pārvaldība
Amberdata research

This market recap describes a week of softer realized and implied volatility in Bitcoin and Ether options as spot prices drifted within recent ranges without a major macro catalyst. It notes that Bitcoin’s term structure shifted lower, especially at the…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Amberdata research

This podcast recap explains BitMEX’s derivatives trading model through an interview with its CEO. It describes the platform as matching traders against one another rather than acting as the counterparty, then outlines a liquidation process supported by an…

KriptoaktīviAtvasināto instrumentu cenu noteikšanaPerpetuālie nākotnes līgumiTirgus mikrostruktūra
Amberdata research

This market update reviews spot exchange activity, Uniswap v3 pool volumes, DeFi lending, and Bitcoin network indicators. It highlights stablecoin-to-asset pools as a major source of Uniswap v3 trading volume, and proposes tracking new stablecoins’ pool…

KriptoaktīviDeFiBlokķēdes datiTūlītējo darījumu tirgi
Amberdata research

This overview describes an interactive Moody’s data story examining prominent stablecoin depegs through dynamic charts. The reported episodes include Terra’s collapse, an FTX-related USDT depeg, USDC losing its peg amid stress in traditional finance, and a…

KriptoaktīviDeFiSvārstīgumsRiska pārvaldība
Amberdata research

The article surveys possible uses of artificial intelligence in crypto trading and decentralized finance. It discusses robo-advisory, automated bots, strategy development and backtesting, risk assessment, arbitrage monitoring, sentiment analysis, predictive…

KriptoaktīviMašīnmācīšanāsVēsturisko datu pārbaudeArbitrāža
Amberdata research

This Chinese-language post describes a stock screen for the metaverse theme. Its initial conditions select shares with previous-day turnover above 8% and price above the five-day moving average. It then refines the screen by adding a MACD crossover…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
Amberdata research

This podcast recap describes Cboe Digital’s crypto spot and derivatives exchange and clearinghouse. It lists spot markets in several major digital assets and notes the launch of Bitcoin and Ethereum futures. A central topic is futures margin clearing, which…

KriptoaktīviNākotnes līgumiTūlītējo darījumu tirgiRiska pārvaldība
Amberdata research

The webinar summary outlines how data and infrastructure providers support institutions working with digital assets. Its central points are that blockchain data is unusually transparent, institutional interest in blockchain and digitally native finance…

KriptoaktīviBlokķēdes datiDeFiTirgus mikrostruktūra
Amberdata research

This excerpt organizes the 2025 crypto market into six regimes, grouped into early-year optimism, a mid-year build, and a late-year crisis and aftermath. It proposes identifying regimes through their triggers and through changes in flows, open interest,…

KriptoaktīviPerpetuālie nākotnes līgumiSvārstīgumsRiska pārvaldība
Amberdata research

This article introduces four ways portfolio managers can adapt familiar valuation concepts to blockchain assets. A discounted cash-flow approach replaces conventional corporate cash flows with protocol value accrual, such as transaction fees or staking…

KriptoaktīviBlokķēdes datiStatistikaIzejvielas
Amberdata research

This market snapshot assesses an early-2026 crypto rally using price and volume changes alongside open interest, perpetual funding, ETF flows, stablecoin supply, orderbook depth, and volatility. It interprets rising prices, expanding open interest, positive…

KriptoaktīviPerpetuālie nākotnes līgumiTirgus mikrostruktūraSvārstīgums
Amberdata research

This market snapshot discusses three digital-asset themes: institutional Bitcoin adoption, prospective uses for autonomous AI systems in decentralized finance, and tokenization of real-world assets. Its Bitcoin analysis describes a sharp rise above $100,000…

KriptoaktīviBlokķēdes datiTirgus noskaņojumsDeFi
Amberdata research

This podcast account follows Michael Dunn’s move from fixed-income and equity trading into crypto derivatives and Bitnomial’s effort to build a regulated U.S. exchange and clearing infrastructure. It describes exchange components such as matching engines,…

KriptoaktīviNākotnes līgumiOpcijasTirgus mikrostruktūra
Amberdata research

This market newsletter combines digital-asset developments with indicators and market commentary from October 2024. It reports growth in OpenEden’s tokenized U.S. Treasury vault, contrasts Bitcoin and Ethereum ETF assets and flows, and describes a recovery…

KriptoaktīviTūlītējo darījumu tirgiTehniskie indikatoriTirgus noskaņojums
Amberdata research

The article explains stablecoins as crypto assets designed to track another asset, usually the US dollar, and distinguishes reserve-backed tokens from algorithmic designs. Reserve-backed tokens depend on the issuer holding assets intended to support…

KriptoaktīviDeFiRiska pārvaldībaSvārstīgums
Amberdata research

This weekly market recap reviews Bitcoin and Ether derivatives conditions, including realized volatility, implied-volatility term structure, skew, option flows, and dealer gamma. It describes weak spot prices alongside subdued realized volatility, while…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Amberdata research

The article explains why financial institutions need direct on-chain data alongside market data, then identifies four obstacles: many changing data sources, protocol differences, complex processing, and scarce specialist talent. It describes how smart…

KriptoaktīviBlokķēdes datiDeFiTirgus mikrostruktūra
Amberdata research

This market recap describes how a sharp crypto decline affected BTC and ETH options. It reports rising realized volatility, a larger response in short-dated implied volatility than in longer maturities, and an inverted term structure after spot fell. The…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Amberdata research

The document explains how crypto data aggregators combine information from centralized and decentralized exchanges into normalized time series. It frames fragmentation across venues, trading pairs, and blockchains as an infrastructure problem for…

KriptoaktīviArbitrāžaVēsturisko datu pārbaudeRiska pārvaldība
Amberdata research

The article explains Active Fundamental Performance (AFP), a measure intended to identify mutual fund managers who select stocks well on fundamental information. For each fund, it computes the covariance between benchmark-adjusted portfolio weights, or…

AkcijasFaktoru ieguldīšanaStatistikaVēsturisko datu pārbaude
Amberdata research

This Q2 2023 report teaser examines Bitcoin and Ethereum options activity, volatility behavior, and the DVOL index. It describes a rules-based method for estimating trade aggressor direction using weighted heuristics, then discusses differences in spot and…

KriptoaktīviOpcijasSvārstīgumsTirgus mikrostruktūra
Amberdata research

This market snapshot interprets crypto conditions across derivatives, spot flows, order books, stablecoins, and DeFi lending. It describes continued long liquidations in BTC, ETH, and SOL, funding turning negative across major assets, and BTC–ETH correlation…

KriptoaktīviPerpetuālie nākotnes līgumiTirgus mikrostruktūraSvārstīgums
Amberdata research

This market note reviews Bitcoin and Ether options around a period of banking stress and major US economic releases. It describes Bitcoin’s term structure moving into backwardation, with near-dated implied volatility elevated relative to longer maturities,…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana