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Zināšanu bibliotēka

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
Dokumentu skaits: 20,364
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
Dokumentu skaits: 560
QuantInsti blog
Dokumentu skaits: 511
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
Dokumentu skaits: 45
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
Dokumentu skaits: 21
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 reference surveys machine-learning methods and relates them to investment research tasks. It covers linear and logistic regression, naive Bayes, nearest neighbors, support vector machines, decision trees and ensembles, neural networks, sequence models,…

MašīnmācīšanāsStatistikaAkcijasRiska pārvaldība
Amberdata research

This market commentary reviews BTC and ETH options conditions ahead of expected ETH ETF trading. It reports falling realized volatility and softer one-month implied volatility, alongside positive carry that may appeal to traders expecting range-bound prices.…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Amberdata research

This market commentary links a stronger-than-expected U.S. jobs report and falling unemployment to reduced expectations for a large Federal Reserve rate cut. It discusses upcoming inflation releases as possible catalysts for further rate-market repricing,…

KriptoaktīviOpcijasSvārstīgumsUz notikumiem balstīta tirdzniecība
Amberdata research

This market commentary examines Bitcoin and Ether options alongside spot prices, macro events, and regulatory news as of April 23, 2023. It discusses dealer gamma, implied volatility, volatility risk premium, term structure, and trading flows. The author…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Amberdata research

This article explains how derivatives can hedge existing crypto holdings or express views on future prices, and how market data can inform those decisions. It describes monitoring open interest and trading volume for clues about liquidity and changes in…

KriptoaktīviAtvasināto instrumentu cenu noteikšanaRiska pārvaldībaArbitrāža
Amberdata research

This market snapshot discusses legal and regulatory developments alongside trading conditions across centralized exchanges, decentralized exchanges, lending protocols, and blockchain networks. It describes a court ruling in Grayscale’s challenge to the SEC…

KriptoaktīviDeFiRīkojumu izpildeTirgus mikrostruktūra
Amberdata research

This research summary compares high-frequency factors built from minute data in stocks and futures. It groups signals into return-distribution measures, intraday volume patterns, price-volume relationships, order-flow measures, and trend strength. Reported…

AkcijasNākotnes līgumiAugstas frekvences tirdzniecībaFaktoru ieguldīšana
Amberdata research

This article explains how on-chain monitoring can help liquidity providers and DeFi teams detect contract risks and unusual pool activity. It outlines reentrancy, code flaws, and front-running as common vulnerabilities, then recommends tracking liquidity,…

KriptoaktīviDeFiBlokķēdes datiRiska pārvaldība
Amberdata research

This weekly digital asset review combines regulatory and product news with market indicators for Bitcoin, Ethereum, and Solana. It discusses ETF holdings and weekly flows, futures open interest across exchanges, long-short ratios, and funding rates. The…

KriptoaktīviNākotnes līgumiTehniskie indikatoriTirgus noskaņojums
Amberdata research

This market commentary links Federal Reserve expectations and geopolitical events with moves in bonds, gold, equities, and crypto. It reports that markets were pricing a greater chance of the Federal Reserve holding rates, while gold continued rising amid…

KriptoaktīviOpcijasSvārstīgumsNākotnes līgumi
Amberdata research

The document introduces a charting feature for viewing how implied-volatility smiles have changed over recent time intervals and where current option pricing sits on those curves. The visualization is intended to help traders assess both the level of implied…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Amberdata research

The document explains how DeFi borrowers pledge collateral worth more than their loans, creating a buffer against falling crypto prices. It discusses how lending platforms set overcollateralization ratios according to collateral risk, market conditions, and…

KriptoaktīviDeFiRiska pārvaldībaPozīcijas apjoma noteikšana
Amberdata research

The post presents a Chinese equity screen combining daily price range, a ranking based on net large-order activity, and a minimum market-capitalization condition. Its stated rationale is to find stocks with notable volatility and trading activity while…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
Amberdata research

This market recap reviews BTC and ETH options conditions around a period of rising crypto prices and an approaching halving. It compares realized and implied volatility, term structures, call and put skew, options activity, and dealer gamma. The commentary…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Amberdata research

This midweek market recap summarizes changes in Bitcoin options conditions, with brief coverage of volatility, term structure, skew, option flows, and gamma positioning. It reports that realized volatility continued to rise, implied volatility farther out on…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Amberdata research

This report studies whether DeFi lending activity in USDC, USDT, and DAI is associated with Ethereum volatility. It estimates daily volatility with the Garman-Klass method, which uses open, high, low, and close prices, then applies Augmented Dickey-Fuller…

KriptoaktīviDeFiSvārstīgumsStatistika
Amberdata research

This market snapshot reviews crypto developments around Bitcoin’s reported all-time high and the passage of the GENIUS Act, alongside ETF flows, corporate treasury activity, futures open interest, long-short ratios, and funding rates. It describes a market…

KriptoaktīviNākotnes līgumiPerpetuālie nākotnes līgumiTirgus noskaņojums
Amberdata research

The document describes how machine learning is being used by institutional trading teams for execution, risk management, and signal research, with digital assets as a key setting. It argues that model quality depends on access to reliable, detailed data from…

MašīnmācīšanāsKriptoaktīviBlokķēdes datiTirgus mikrostruktūra
Amberdata research

This podcast introduction describes a discussion with T3 Index founder Simon Ho about volatility indexes, options trading, and building an index business. It identifies Spike as an index derived from SPY options that competes with the Cboe VIX, and mentions…

OpcijasSvārstīgumsAkcijasKriptoaktīvi
Amberdata research

This overview explains several crypto market data types and their uses. OHLCV bars summarize opening, high, low, and closing prices alongside traded volume; the post connects OHLC data to candlestick chart analysis. It describes VWAP and TWAP as aggregated…

KriptoaktīviTirgus mikrostruktūraRīkojumu izpildeStatistika
Amberdata research

This mid-week derivatives recap summarizes conditions in Bitcoin and Ethereum options. It reports that realized volatility recovered during the week, while both assets’ volatility term structures moved lower; Bitcoin’s curve shifted further into contango. As…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Amberdata research

This webinar overview introduces several Bitcoin and Ethereum measures that researchers might turn into trading signals. It groups them into market-cycle or valuation indicators, including Pi Cycle, Realized Cap, and the Bitcoin Yardstick; sentiment measures…

KriptoaktīviBlokķēdes datiTirgus noskaņojumsStatistika
Amberdata research

This market commentary argues that quiet spot trading, low realized volatility, and a steep options term structure favor a near-term short-volatility bias in Bitcoin and Ether. It notes that scheduled inflation releases and a potential Bitcoin spot ETF…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Amberdata research

This newsletter discusses crypto market behavior during a sharp tariff-driven selloff in equities. It compares volatility across equities, gold, and bitcoin, observing that bitcoin implied volatility had not risen as much as other measures at the time. The…

KriptoaktīviOpcijasSvārstīgumsTirgus mikrostruktūra