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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

The document introduces charts for comparing Bitcoin and Ethereum options implied volatility across delta levels. It describes two views: a spread calculated by subtracting Ethereum implied volatility from Bitcoin implied volatility, and a ratio calculated…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Amberdata research

The article argues that Bitcoin implied volatility should be read alongside broader market measures. It highlights VIX, VVIX, MOVE, the dollar index, gold volatility, and yield curve shape as potential clues to changes in crypto volatility. It attributes…

KriptoaktīviSvārstīgumsOpcijasVairāku aktīvu tirdzniecība
Amberdata research

The article presents realized volatility (RV) as a measure of observed price movement and implied volatility (IV) as the options market’s forecast. It uses the ratio of 7-day RV to 30-day RV to distinguish short-term expansion from compression, then compares…

KriptoaktīviOpcijasSvārstīgumsTehniskie indikatori
Amberdata research

This market snapshot combines price action with ETF and stablecoin flows, derivatives positioning, funding rates, open interest, orderbook depth, spreads, and volatility. It interprets the period as consolidation: Bitcoin and Ether held up better than…

KriptoaktīviPerpetuālie nākotnes līgumiArbitrāžaTirgus mikrostruktūra
Amberdata research

This article explains Nouns DAO’s model: one NFT is auctioned each day, with proceeds accruing to a treasury that holders allocate through proposals and votes. It presents gradual, recurring funding as a way to give members time to coordinate and assess…

KriptoaktīviBlokķēdes datiDeFi
Amberdata research

This overview explains how centralized exchange spot-volume dashboards can be used to examine market activity across exchanges, quote currencies, stablecoins, and frequently traded tokens. It describes comparing total volume and exchange shares, then…

KriptoaktīviTūlītējo darījumu tirgiOpcijasTirgus mikrostruktūra
Amberdata research

This partial report examines Binance ETH/USDT trading and order book behavior around the yen carry trade unwind. It connects macro events—including yen appreciation and a sharp Nikkei decline—to crypto price moves, then describes how volume, net trading…

KriptoaktīviSvārstīgumsTirgus mikrostruktūraRīkojumu izpilde
Amberdata research

This weekly market note interprets Bitcoin and Ether options alongside macro conditions for the week of February 26, 2023. It describes rising bond yields and hawkish Federal Reserve expectations as pressure on risk assets, while noting that crypto had…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Amberdata research

This document outlines a compliance-oriented framework for assessing digital asset risks. It recommends categorizing protocol-level concerns such as smart-contract integrity, consensus vulnerabilities, and network security, while evaluating privacy coins…

KriptoaktīviRiska pārvaldībaBlokķēdes datiSvārstīgums
Amberdata research

The article describes a short-term stock screen for companies classified in the metaverse theme. It selects stocks that appeared on the previous day’s trading leaderboard and had turnover between 2% and 9%. The stated rationale is to combine a current…

AkcijasCenas impulssRīkojumu izpildeRiska pārvaldība
Amberdata research

This market snapshot combines regulatory and adoption news with Bitcoin on-chain indicators. It discusses a proposed SEC crypto task force, Arizona legislation to permit public funds to hold digital assets, and increased Solana activity associated with…

KriptoaktīviBlokķēdes datiStatistikaTirgus noskaņojums
Amberdata research

This Chinese stock-screening note combines a turnover-rate band of 3%–12%, three consecutive declining sessions, and a weekly moving-average condition involving the 30-week average. It presents the conditions as a way to find stocks with a longer-term upward…

AkcijasĶīnas tirgiTehniskie indikatoriSekošana tendencei
Amberdata research

The newsletter links geopolitical tension involving Iran to volatility in oil, precious metals, and risk assets, arguing that broader risk sentiment may set crypto’s near-term direction. It reviews macro events but gives greater weight to geopolitics and…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Amberdata research

The article explains call/put skew as the difference in implied volatility between comparable options. Higher call implied volatility is interpreted as stronger demand for upside exposure, while higher put implied volatility suggests greater demand for…

KriptoaktīviOpcijasSvārstīgumsTirgus noskaņojums
Amberdata research

This market recap reviews crypto options conditions after an early-month rally, focusing on realized and implied volatility, term structure, skew, trading flows, and dealer gamma. It reports higher realized volatility in BTC and ETH, stronger demand for…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Amberdata research

This podcast recap follows Ilan Levy-Mayer’s path into trading and his work at a futures brokerage. It describes the broker’s role in helping hedgers, speculators, and self-directed traders choose platforms, understand markets, and manage risk. The firm’s…

Nākotnes līgumiIzejvielasKriptoaktīviRiska pārvaldība
Amberdata research

The article explains how inflation, interest rates, and economic growth can shape crypto prices and liquidity. It recommends comparing crypto returns with inflation measures and traditional markets using rolling correlations and regression, since Bitcoin may…

KriptoaktīviVairāku aktīvu tirdzniecībaStatistikaRiska pārvaldība
Amberdata research

This weekly market note assesses Bitcoin and Ether options against a quiet spot market and low recent realized volatility. It discusses implied volatility across maturities, volatility risk premium, and contango in the term structure. The author considers…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Amberdata research

The document outlines a basic backtesting workflow: define a strategy, gather historical data, calculate returns and supporting statistics, then decide whether to deploy or refine the idea. It notes that crypto strategies may use pairs trades, rebalancing…

KriptoaktīviVēsturisko datu pārbaudeTirgus mikrostruktūraStatistika
Amberdata research

This weekly market commentary reviews crypto options positioning alongside moves in macro markets. It argues that a strong Bitcoin rally coincided with a decline in year-end implied volatility skew, which the authors interpret as traders anticipating slower…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Amberdata research

This market snapshot reviews crypto developments alongside indicators of institutional and trader positioning. It discusses exchange security after a major exchange hack, a USDC refund mechanism, proposed crypto investment products, US policy changes, and…

KriptoaktīviNākotnes līgumiTirgus noskaņojumsTirgus mikrostruktūra
Amberdata research

This newsletter reviews how macroeconomic uncertainty and US policy signals shaped crypto prices and options conditions. It links employment and inflation data, tariff concerns, and changing expectations for rate cuts with broad risk-asset volatility. It…

KriptoaktīviOpcijasSvārstīgumsRiska pārvaldība
Amberdata research

This primer surveys real-time and historical cryptocurrency data used in trading, research, and risk analysis. It distinguishes trade records, price feeds, and order-book data, describing tick-by-tick trades, normalized aggressor direction, snapshots, best…

KriptoaktīviTirgus mikrostruktūraVēsturisko datu pārbaudeRīkojumu izpilde
Amberdata research

This podcast recap follows a derivatives trader’s move from FX options into crypto and outlines how an OTC desk serves institutional and high-net-worth clients. The desk makes markets in spot and options, handles customer flow, and manages risk across the…

KriptoaktīviOpcijasNākotnes līgumiSvārstīgums