Pāriet uz saturu

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: 3,481

BigQuant

The article reviews a method for evaluating active mutual funds by adjusting performance first for factor exposures and then for the characteristics of stocks held. It begins with Carhart four-factor alpha, then uses either a cross-sectional regression on…

AkcijasFaktoru ieguldīšanaStatistikaPortfeļa veidošana
BigQuant

This brief description introduces a strategy-rotation framework for adapting a portfolio to different market environments. It proposes tracking shifts in market style, identifying the style characteristics of individual strategies, and using quantitative…

Vairāku aktīvu tirdzniecībaPortfeļa veidošanaRiska pārvaldība
BigQuant

The document summarizes research proposing a portfolio-centered framework that brings ex ante and ex post attribution into one structure. It applies a consistent approach to explaining portfolio alpha, expected risk, and realized returns, broadening…

Portfeļa veidošanaRiska pārvaldībaStatistika
BigQuant

This brief summary of a factor-investing report reviews tests of capital-structure and solvency measures. For nine capital-structure factors, the report compares grouped portfolio performance, long-short returns, information coefficients, and Fama-MacBeth…

AkcijasFaktoru ieguldīšanaStatistikaPortfeļa veidošana
BigQuant

The document summarizes research on whether actively managed equity funds earn stronger future returns when their trading increases the technological similarity of their holdings. It describes Active Technological Similarity (ATS), built from the overlap in…

AkcijasFaktoru ieguldīšanaStatistikaPortfeļa veidošana
BigQuant

This summary compares financial growth signals and subsequent stock returns in overseas and Chinese markets. It defines asset growth as changes in balance-sheet items, including total assets, current assets, and inventory, and profit growth through measures…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaStatistika
BigQuant

This report describes a fundamental equity quality framework spanning profitability, growth stability, earnings quality, cash flow, operating efficiency, and solvency. It screens factors for historical long-term return behavior, then builds a composite…

AkcijasFaktoru ieguldīšanaStatistikaĶīnas tirgi
BigQuant

This research summary reviews dynamic ways to allocate among equity style factors, contrasting them with static allocation and grouping methods by whether they rely on returns, risk, or both. It first builds the investable factor set: 28 underlying factors…

AkcijasFaktoru ieguldīšanaPortfeļa veidošanaRiska pārvaldība
BigQuant

The document addresses a stock-selection model whose chosen stocks and reported backtest returns change when the backtest end date is moved forward by about twenty days. The explanation is that the training data differs across the runs. A model trained on a…

AkcijasMašīnmācīšanāsVēsturisko datu pārbaudeStatistika
BigQuant

The document raises a question about comparing backtested factors when they produce different numbers of trades. Its example contrasts one factor with 100 trades and a 2:1 profit-loss ratio against another with 1,000 trades and a 1.5:1 ratio, asking whether…

StatistikaVēsturisko datu pārbaude
BigQuant

This report describes a stock rotation strategy that seeks timely events associated with excess returns. Its event factors cover shareholder actions, dividend policies, earnings forecasts and reports, growth measures, and private placements. The strategy…

AkcijasUz notikumiem balstīta tirdzniecībaFaktoru ieguldīšanaStatistika
BigQuant

The document examines relationships between half-hour returns in major Chinese equity indices and outlines intraday momentum and reversal trades. It reports stronger positive relationships among some afternoon intervals, a negative relationship between the…

AkcijasCenas impulssAtgriešanās pie vidējās vērtībasStatistika
BigQuant

This opinion article argues that quantitative trading has become entrenched in China’s A-share market despite retail investor criticism. It attributes its perceived advantage to rapid automated execution, access to data and signals, and institutional tools…

Ķīnas tirgiAkcijasAugstas frekvences tirdzniecībaTirgus mikrostruktūra
BigQuant

The report outlines portfolio attribution methods for stocks and bonds, using both holdings and return series. For equity holdings, it applies a multifactor framework to separate common-factor returns from idiosyncratic returns, then estimates portfolio…

AkcijasFiksēta ienākuma instrumentiFaktoru ieguldīšanaPortfeļa veidošana
BigQuant

This weekly Chinese equity market note combines market timing, sentiment, fund positioning, capital flows, and sector rotation. Its timing discussion uses an RSRS model on the Shanghai Composite, SSE 50, and ChiNext indexes. The model issued no new signals…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
BigQuant

This report reviews ESG investing through active stock selection, benchmark optimization, and factor portfolios. It summarizes research using company ESG scores and components for five MSCI equity regions over 2010–2017, with quarterly portfolio rebalancing.…

AkcijasFaktoru ieguldīšanaPortfeļa veidošanaVēsturisko datu pārbaude
BigQuant

This research summary compares two ETFs tracking distinct China A-share indices focused on the ChiNext market. One index selects for quality and lower volatility, seeking financially sound companies with steadier price behavior. The other emphasizes growth…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaCenas impulss
BigQuant

This Chinese equity research note argues that quarterly profit growth alone can misidentify growth stocks. Small comparison-period earnings, denominator effects, and nonrecurring gains can create misleading growth rates. It proposes using analyst research…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaUz notikumiem balstīta tirdzniecība
BigQuant

This 2018 research summary introduces China’s two-year government bond futures contract, covering its notional size, eligible delivery bonds, price limits, and minimum margin. It explains that the delivery basket’s remaining-maturity range is narrow, helping…

Fiksēta ienākuma instrumentiNākotnes līgumiPārneseArbitrāža
BigQuant

The request specifies a stock factor backtest using a named factor table and factor. Factor values should be converted to ranks, with smaller values preferred. The intended universe is the CSI 1000, excluding Beijing Stock Exchange listings and ST-designated…

AkcijasFaktoru ieguldīšanaVēsturisko datu pārbaudePortfeļa veidošana
BigQuant

This article outlines a workflow for creating custom equity-selection rules from platform factors. It illustrates price-location features based on recent highs and lows, then combines return, volume, and market-relative conditions into a screening rule. The…

AkcijasFaktoru ieguldīšanaCenas impulssVēsturisko datu pārbaude
BigQuant

The article argues that robust quantitative trading depends less on choosing a factor or model in isolation than on a repeatable development process. It outlines a sequence: form a market-based hypothesis, analyze whether candidate factors distinguish…

Faktoru ieguldīšanaMašīnmācīšanāsVēsturisko datu pārbaudeRiska pārvaldība