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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)
Dokumentu skaits: 132
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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QuantRocket
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Lumibot strategies
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Awesome Quant
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Meklēt bibliotēkā

Dokumentu skaits: 766

Amberdata research

This market review attributes Bitcoin’s sharp early-2026 decline to several overlapping forces: hawkish policy expectations, cross-asset losses, regulatory news, leveraged liquidations, and weaker institutional demand. It describes a feedback loop in which…

KriptoaktīviNākotnes līgumiSvārstīgumsTirgus mikrostruktūra
Amberdata research

The article explains how open interest can help traders assess activity, liquidity, sentiment, and possible trend strength in crypto derivatives. It recommends reading open interest alongside trading volume: increases in both may accompany a strong trend,…

KriptoaktīviNākotnes līgumiOpcijasTirgus mikrostruktūra
Amberdata research

The document explains how changes in cryptocurrency ETF holdings and assets under custody (AUC) can be used to observe institutional participation in Bitcoin and Ethereum. Rising balances may reflect increased exposure and confidence, while declines may…

KriptoaktīviTirgus noskaņojumsTirgus mikrostruktūraRiska pārvaldība
Amberdata research

This overview explains how historical crypto data can support trend analysis, forecasting, risk measurement, benchmarking, and strategy backtesting. It defines common market records, including trade history, prices, OHLCV bars, VWAP, TWAP, volume, market…

KriptoaktīviBlokķēdes datiVēsturisko datu pārbaudeRiska pārvaldība
Amberdata research

This newsletter connects U.S. inflation and labor market data with crypto market conditions and Bitcoin options positioning. It notes that easing inflation has shifted attention toward upcoming employment reports, while markets were pricing further rate…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Amberdata research

This market recap reviews Bitcoin and Ether options during a period of sharply higher realized volatility amid geopolitical risk. It contrasts strong short-dated volatility with softer one-month implied volatility, discusses inversion in both term…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Amberdata research

This short market recap highlights how the SVB news affected Bitcoin and Ethereum derivatives. It reports that realized volatility rose sharply, both assets’ volatility term structures moved into backwardation, and downside skew increased before retreating.…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Amberdata research

This weekly commentary examines Bitcoin and Ether options conditions around anticipated central-bank decisions. It discusses a higher October forward-volatility kink in Bitcoin, differing dealer gamma profiles between the assets, and options transactions…

KriptoaktīviOpcijasSvārstīgumsTirgus mikrostruktūra
Amberdata research

This episode recap introduces dealer gamma profiles and their possible effects on crypto price dynamics. Dealers commonly adjust hedges to maintain delta neutrality; when their net options exposure is short gamma, hedging may involve selling into rising…

KriptoaktīviOpcijasSvārstīgumsTirgus mikrostruktūra
Amberdata research

The document explains Bitcoin’s scheduled reduction in block issuance, describing how the reward falls by half every 210,000 blocks and how this supports a capped supply. It lists past and projected halving dates and rewards, and notes the expected 2024…

KriptoaktīviBlokķēdes datiUz notikumiem balstīta tirdzniecībaRiska pārvaldība
Amberdata research

The article explains a mempool as the node-level holding area for blockchain transactions awaiting confirmation. Transactions are broadcast to nodes, then selected by miners or validators for inclusion in blocks; confirmed transactions leave the pool, while…

KriptoaktīviTirgus mikrostruktūraRīkojumu izpildeRiska pārvaldība
Amberdata research

This overview compares lending and borrowing features of Aave, Compound, and MakerDAO. It explains that Aave supports multiple assets and loan types, including flash loans that must be repaid within one blockchain transaction. Compound represents supplied…

DeFiKriptoaktīviBlokķēdes datiRiska pārvaldība
Amberdata research

This announcement summarizes a report built around four years of Bitcoin options data, with Deribit as its main market reference, and discusses Ethereum options as well. It reports that in 2022 ETH options exceeded BTC options in volume and open interest for…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Amberdata research

This newsletter links crypto market expectations to macroeconomic developments, including an inflation surprise, the upcoming FOMC decision, tariff uncertainty, and movements in equities and volatility measures. It describes Bitcoin as closely tied to…

KriptoaktīviOpcijasSvārstīgumsTirgus noskaņojums
Amberdata research

The analysis examines execution conditions in Binance’s BTC/FDUSD market using 50,526 minutes of order book observations from July 1 to August 12, 2025. It argues that displayed depth grows nonlinearly with distance from the mid-price, so large orders may…

KriptoaktīviRīkojumu izpildeTirgus mikrostruktūraStatistika
Amberdata research

The article explains how periodic funding payments in perpetual swaps help keep contract prices near spot prices. When funding is positive, longs pay shorts; when negative, shorts pay longs. These payments affect the net cost of holding a position and can…

KriptoaktīviPerpetuālie nākotnes līgumiPārneseArbitrāža
Amberdata research

A flash loan lets a user borrow cryptocurrency without collateral, provided the loan is repaid within the same blockchain transaction. The document explains how an attacker can use borrowed funds to exploit smart-contract flaws, including manipulating prices…

KriptoaktīviDeFiBlokķēdes datiRiska pārvaldība
Amberdata research

This article explains how to compare Bitcoin and Ether options volatility surfaces across strikes and expirations to identify relative-value trades. Traders can examine differences in implied-volatility level, skew, and term structure, then investigate…

KriptoaktīviOpcijasSvārstīgumsPāru tirdzniecība
Amberdata research

The article describes how analytics, artificial intelligence, and machine learning may support cryptocurrency trading. It highlights searching large datasets for patterns, comparing markets, forecasting potential changes, and automating trading decisions. It…

KriptoaktīviMašīnmācīšanāsVēsturisko datu pārbaudeRiska pārvaldība
Amberdata research

This weekly market recap discusses Bitcoin and Ether options through realized and implied volatility, term structure, call skew, relative value, trading flows, and dealer gamma. It reports elevated realized volatility in both assets, firmer implied…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Amberdata research

This newsletter links macroeconomic developments to crypto and options-market positioning. It discusses how stronger employment data and rising Treasury yields changed market-implied expectations for the next Federal Reserve decision, and frames inflation…

KriptoaktīviOpcijasSvārstīgumsTirgus noskaņojums
Amberdata research

This overview outlines ways banks may use digital asset data across front, middle, and back office functions. Trading teams can apply real-time and historical data to research, strategy backtesting, and portfolio management. Risk and treasury teams can…

KriptoaktīviBlokķēdes datiRiska pārvaldībaVēsturisko datu pārbaude
Amberdata research

This digital-asset snapshot combines spot prices and volume with order-book liquidity, perpetual funding, open interest, long/short positioning, liquidations, stablecoin flows, and staking yields. Its central market reading is that Bitcoin’s price strength…

KriptoaktīviPerpetuālie nākotnes līgumiTirgus mikrostruktūraRiska pārvaldība
Amberdata research

The interview describes Itos Finance’s plans for on-chain structured products, drawing on co-founder Terence An’s experience in high-frequency trading and market infrastructure. Its central risk-management idea is to offer options that can hedge liquidity…

DeFiOpcijasSvārstīgumsRiska pārvaldība