Vai al contenuto

Libreria delle conoscenze

Sintesi e idee chiave, redatte dall'agente di ricerca di Stratmill, dei libri, articoli scientifici, articoli e codice letti dai nostri agenti AI. Ogni pagina rimanda all'originale.

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

Cerca nella libreria

766 documenti

Amberdata research

This market commentary reviews Bitcoin and Ether options through realized and implied volatility, expiry term structures, call skew, and relative value. It reports Bitcoin realized volatility in the mid-30s and Ether near 50 after spot weakness, while…

OpzioniCriptoVolatilitàPrezzi dei derivati
Amberdata research

This market snapshot discusses the October 2023 Bitcoin rally alongside regulatory headlines, exchange activity, DeFi markets, lending, and network metrics. It cautions that reports of a spot ETF listing or approval rumors did not establish that an ETF had…

CriptoMercati spotDeFiDati on-chain
Amberdata research

The article explains open interest as the number of derivatives contracts that remain open and presents it as a measure of participation in crypto futures markets. It recommends reading changes in OI alongside price: rising OI with rising prices may support…

CriptoFuturesMicrostruttura del mercatoSentiment
Amberdata research

This article explains why total value locked can give a misleading impression of a decentralized finance protocol’s health. TVL rises or falls with the market prices of deposited assets, so a decline may reflect falling token prices rather than users…

DeFiCriptoDati on-chainMicrostruttura del mercato
Amberdata research

The document explains how implied volatility (IV) surfaces organized by option moneyness can help identify relative pricing anomalies. A floating surface compares options at their actual listed expirations, while a constant surface interpolates or…

OpzioniVolatilitàPrezzi dei derivatiCripto
Amberdata research

This article applies the stock-to-flow ratio to Bitcoin as a scarcity-based valuation approach. It defines stock as the existing supply and flow as new annual issuance, then estimates Bitcoin’s annual production from the change in supply over a year. Using…

CriptoStatisticaBacktest
Amberdata research

This weekly market review surveys Bitcoin and Ether options through realized and implied volatility, term structure, skew, relative value, option flows, and dealer gamma positioning. It describes falling front-end implied volatility, a pronounced shift…

CriptoOpzioniVolatilitàPrezzi dei derivati
Amberdata research

The document explains volatility cones as percentile benchmarks of historical realized volatility across several lookback periods. Traders compare current realized volatility with levels such as the lower quartile, median, and upper quartile to judge whether…

CriptoOpzioniVolatilitàGestione del rischio
Amberdata research

This mid-week recap summarizes conditions in Bitcoin and Ether derivatives as of January 18, 2023. It highlights realized volatility returning above 20%, a shift to inverted term structures, and a complete reversal in skew. These measures describe different…

CriptoOpzioniVolatilitàPrezzi dei derivati
Amberdata research

This market recap interprets Bitcoin and Ether options volatility, term structure, skew, trading flows, and dealer gamma around anticipated spot ETF decisions. It reports rising implied volatility alongside stable recent realized volatility, with Bitcoin’s…

CriptoOpzioniVolatilitàMicrostruttura del mercato
Amberdata research

This weekly crypto market snapshot combines regulatory and company news with indicators of institutional activity and derivatives positioning. It covers the launch of XRP and Dogecoin ETFs, Tether’s U.S.-focused stablecoin, a large corporate Solana purchase,…

CriptoFuturesSentimentMicrostruttura del mercato
Amberdata research

The document compares Ethereum, Polygon, BNB Chain, Avalanche, Arbitrum, Optimism, and Base by their early network histories. It describes how each network differs in architecture, consensus, execution environment, token use, and launch context, then uses…

CriptoDati on-chainStatisticaMicrostruttura del mercato
Amberdata research

This note describes a two-stage ranking factor for equities. For each stock, it ranks the recent ten-day low-price observations through time, then ranks those values across stocks on the same date. The intended interpretation is that a larger final factor…

AzioniInvestimento fattorialeStatisticaBacktest
Amberdata research

This case study describes how blockchain ratings company Metafide used a third-party data platform to support an AI and machine-learning product. Its required inputs spanned blockchain networks, crypto market data, decentralized finance, and several traded…

CriptoApprendimento automaticoDati on-chainDeFi
Amberdata research

The article argues that ETH options volatility may offer a long-volatility opportunity despite the historically positive variance risk premium often observed in crypto. It compares ETH and BTC implied and realized volatility, describing ETH’s relative…

CriptoOpzioniVolatilitàPrezzi dei derivati
Amberdata research

This market commentary examines crypto options and volatility around the US presidential inauguration, alongside regulatory developments and upcoming economic releases. It argues that Bitcoin’s implied volatility around the event was close to the realized…

CriptoOpzioniVolatilitàFutures perpetui
Amberdata research

This overview frames institutional digital-asset adoption around three operational challenges: custody, compliance, and market infrastructure. It explains that private-key loss can mean permanent loss of bearer assets, and describes institutional use of…

CriptoDeFiGestione del rischioMicrostruttura del mercato
Amberdata research

The document explains how to read order book depth snapshots and update sequences to assess liquidity, possible support and resistance, and the price impact of larger trades. Comparing bid and ask stacks over time can reveal whether displayed liquidity…

CriptoMicrostruttura del mercatoEsecuzioneGestione del rischio
Amberdata research

This market recap reviews BTC and ETH options conditions around ETF-related news. It describes a surge in realized volatility followed by lower implied volatility after the event, and explains that the resulting negative volatility carry is not, by itself, a…

CriptoOpzioniVolatilitàPrezzi dei derivati
Amberdata research

This article explains governance and day-to-day management practices for organizations handling crypto market, blockchain, liquidity, and customer data. It recommends assigning data stewards, setting access rules, defining quality standards, protecting data…

CriptoDati on-chainDeFiGestione del rischio
Amberdata research

The document outlines ways to compare blockchain activity and use cross-chain data in trading research. It proposes converting transaction volume into a common currency, aligning observations across networks in time, and adjusting measurements so activity…

CriptoDati on-chainArbitraggioEsecuzione
Amberdata research

The article compares the first 30 trading days of US spot Bitcoin and Ethereum ETFs, examining net flows, assets under management, issuer patterns, and asset prices. It reports substantial Bitcoin ETF inflows alongside redemptions from Grayscale, while…

CriptoMulti-assetMercati spotBasato su eventi
Amberdata research

This market snapshot reviews Coinbase’s crypto futures approval and Base’s launch alongside activity across centralized exchanges, decentralized exchanges, lending markets, and several blockchain networks. It reports declining exchange volumes and market…

CriptoMercati spotDeFiFutures perpetui