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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
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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
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QuantInsti blog
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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
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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
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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 article compares three types of privacy-enhancing tools in digital assets: mixers, privacy coins, and zero-knowledge proofs. Mixers obscure the link between senders and receivers, while privacy coins can conceal transaction details at the protocol…

KriptoaktīviDeFiRiska pārvaldībaTirgus mikrostruktūra
Amberdata research

The article compares Bitcoin market conditions in late 2023 with the rally in late 2020, using spot returns, options implied volatility, futures basis, and realized volatility. It reports that implied volatility was near its 2023 high amid call buying, while…

KriptoaktīviOpcijasNākotnes līgumiSvārstīgums
Amberdata research

The document introduces Uniswap V3’s concentrated liquidity, where providers allocate liquidity within chosen price ranges, and explains how to examine decentralized exchange activity through trade records, prices, and OHLCV aggregates. Individual trades…

KriptoaktīviDeFiTirgus mikrostruktūraRīkojumu izpilde
Amberdata research

This notice describes global cryptocurrency reference rates calculated as volume-weighted moving averages across exchanges. Users can request a rate by asset symbol, aggregating across exchanges and cross-rate pairs, or by a specific trading pair,…

KriptoaktīviTūlītējo darījumu tirgiTirgus mikrostruktūra
Amberdata research

This podcast summary describes SOMA.finance’s plans to connect traditional finance with blockchain markets through token issuance, a decentralized exchange, and yield products. It says the platform aims to support tokenized securities and digital assets,…

DeFiKriptoaktīviAkcijasIzejvielas
Amberdata research

The document reviews BTC and ETH conditions after a sharp market squeeze, connecting macro uncertainty and price levels with options pricing. It describes falling implied volatility alongside elevated realized volatility, negative carry, changes in term…

KriptoaktīviOpcijasSvārstīgumsTirgus noskaņojums
Amberdata research

FalconX product manager Jill Gao describes moving from traditional finance into crypto product development and discusses changes in institutional trading. The document outlines Marketspot, a Telegram-based analytics tool that lets users query historical…

KriptoaktīviOpcijasSvārstīgumsPerpetuālie nākotnes līgumi
Amberdata research

This market commentary combines a US macro calendar with views on Japanese rates, Bitcoin, and Ethereum options. It notes that the Federal Reserve decision and US employment report could move markets, while a weaker employment result might support bonds and…

KriptoaktīviOpcijasSvārstīgumsValūtu tirgus
Amberdata research

This report surveys digital-asset market conditions in the first quarter of 2025, connecting sharp price moves with macroeconomic news, regulatory actions, exchange security events, and institutional positioning. It discusses Bitcoin and Ethereum, ETF flows,…

KriptoaktīviBlokķēdes datiAtvasināto instrumentu cenu noteikšanaSvārstīgums
Amberdata research

This post outlines a Chinese equity screen that combines an amplitude threshold, a proxy for institutional buying, and a recent large daily gain. The intended logic is to find volatile stocks attracting institutional interest that have also shown a strong…

AkcijasSvārstīgumsCenas impulssTehniskie indikatori
Amberdata research

This market recap reviews BTC and ETH options positioning during a period when spot prices struggled near technical levels and traders anticipated volatility around the Bitcoin halving. It compares realized and implied volatility, term structures, skew,…

KriptoaktīviOpcijasSvārstīgumsRiska pārvaldība
Amberdata research

The document summarizes research and a webinar discussion of Bitcoin options across bull, bear, and volatile market conditions. The presenters examined the volatility surface and its regimes, and argued that traders may find opportunities by adapting ideas…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Amberdata research

This brief market recap points readers to four themes in Bitcoin and Ether derivatives: pronounced put skew, the volatility spread between ETH and BTC, large realized-volatility days influencing markets, and buying of longer-dated calls described as…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Amberdata research

The document argues that informed DeFi analysis requires four complementary data views: protocol, pool, asset, and wallet. Protocol data supports comparisons across financial functions such as lending, staking, and asset management. Pool data describes…

DeFiKriptoaktīviBlokķēdes datiArbitrāža
Amberdata research

This overview surveys ways institutions can seek yield in decentralized finance, including lending, liquidity provision, staking, and yield farming. It outlines the main exposures associated with each: smart-contract and liquidation risks in lending,…

DeFiKriptoaktīviRiska pārvaldībaRīkojumu izpilde
Amberdata research

This brief market recap describes conditions in Bitcoin and Ether derivatives as of February 8, 2023. It tracks realized volatility, futures or options term structure, skew, and observed option flows. The reported picture is declining realized volatility, a…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Amberdata research

The document introduces decentralized finance as blockchain based software that can perform functions commonly handled by financial institutions. It describes smart contracts supporting lending, trading, liquidity pools, risk management, derivatives,…

KriptoaktīviDeFiArbitrāžaBlokķēdes dati
Amberdata research

The episode explains how Ethereum’s move to proof of stake helped create demand for liquid staking. Users stake ETH and receive liquid staking tokens that can be used in decentralized finance, lowering the technical and asset threshold for participating in…

KriptoaktīviDeFiBlokķēdes dati
Amberdata research

This market recap reviews BTC and ETH options after a sharp spot recovery. It discusses realized and implied volatility, term structures, volatility carry, call and put skew, relative value between the assets, option flows, and dealer gamma. The commentary…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Amberdata research

This weekly snapshot reviews digital-asset activity from February 6 to 13, 2024. It compares centralized exchange volume in major Bitcoin quote pairs, decentralized exchange volumes, lending deposits and withdrawals, token-level depositor activity, and…

KriptoaktīviTūlītējo darījumu tirgiDeFiTirgus mikrostruktūra
Amberdata research

The document outlines a framework for estimating implied volatility and theoretical option values for altcoins without actively traded options. An Altcoin SVI endpoint bootstraps volatility curves and recalibrates them every 24 hours for 7-day and 30-day…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Amberdata research

This market recap interprets a sharp Bitcoin rally and concurrent Ethereum strength through realized and implied volatility, term structure, skew, option flows, and dealer gamma. It reports that volatility rose as spot advanced, options buyers chased upside…

KriptoaktīviOpcijasSvārstīgumsTirgus mikrostruktūra
Amberdata research

This document describes a Chinese A-share stock screen combining a technical condition, an earnings-growth filter, and price trend checks. The initial version selects stocks with RSI below 65, year-over-year growth in net profit attributable to…

Ķīnas tirgiAkcijasTehniskie indikatoriFaktoru ieguldīšana