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
Quantopian lekcijas
Dokumentu skaits: 45
Binance API docs
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

A user asks why a BigQuant query for Ping An Bank returns values in the thousands when the stock trades around the teens. The supplied workflow selects the A-share instrument, then builds a forward label from the close five sessions ahead divided by the next…

AkcijasMašīnmācīšanāsĶīnas tirgi
BigQuant

This report summary examines whether separating overnight returns from intraday returns can improve equity reversal factors in China’s A-share market. It links the market’s T+1 trading convention with a possible low-open, rising-intraday pattern that may…

AkcijasAtgriešanās pie vidējās vērtībasFaktoru ieguldīšanaĶīnas tirgi
BigQuant

This research summary argues that a fund’s track record can mix the results of successive managers, obscuring changes in style and investment approach. It proposes constructing a separate index for each manager from funds solely attributed to that manager,…

Vairāku aktīvu tirdzniecībaFaktoru ieguldīšanaStatistikaPortfeļa veidošana
BigQuant

This article argues that training one stock-selection model on all market data may struggle with noisy observations and changing factor behavior. Its proposed approach is to classify market conditions and maintain strategies suited to different regimes:…

AkcijasĶīnas tirgiMašīnmācīšanāsVēsturisko datu pārbaude
BigQuant

This report describes a Chinese equity risk model built on a standard multifactor framework and informed by the Barra approach. It estimates stock return covariance through factor return covariance and specific return variances. The model adjusts these…

AkcijasĶīnas tirgiFaktoru ieguldīšanaRiska pārvaldība
BigQuant

This post outlines an A-share stock-selection framework that uses eight cross-sectionally ranked features covering valuation, momentum and reversal, and liquidity. A LightGBM regression model predicts relative returns over a five-trading-day horizon; the…

AkcijasMašīnmācīšanāsFaktoru ieguldīšanaVēsturisko datu pārbaude
BigQuant

This research summary compares ten equity valuation measures, including book-to-price, earnings-to-price, sales-to-price, dividend yield, growth-adjusted earnings multiples, cash-flow yields, and EBITDA relative to enterprise value. It describes what each…

AkcijasFaktoru ieguldīšanaStatistikaVēsturisko datu pārbaude
BigQuant

This note reconstructs a Chinese ETF rotation strategy that selects a small pool of relatively uncorrelated assets, including equity index ETFs and gold. Every five trading days, it compares each fund’s 20-day return, holds the strongest when that return is…

Ķīnas tirgiVairāku aktīvu tirdzniecībaSekošana tendenceiCenas impulss
BigQuant

This research note examines whether intraday stock market snapshots can support factors for stock selection. Snapshot data records prices, volumes, trade counts, and order-book quotes at regular intervals; the note contrasts it with trade-by-trade data and…

AkcijasAugstas frekvences tirdzniecībaFaktoru ieguldīšanaTirgus mikrostruktūra
BigQuant

This overview surveys several ways to rank or select equities using quantitative models. It groups approaches into factor and risk models, statistical methods, machine learning, macroeconomic inputs, and behavioral signals. Examples include combining value,…

AkcijasFaktoru ieguldīšanaMašīnmācīšanāsStatistika
BigQuant

The study examines whether WTI crude futures trading before weekly US Energy Information Administration inventory releases is consistent with informed trading. It compares announcement outcomes with analyst expectations and analyzes intraday prices and…

Nākotnes līgumiIzejvielasTirgus mikrostruktūraUz notikumiem balstīta tirdzniecība
BigQuant

The article introduces random forests as an ensemble of decision trees and explains how bootstrap sampling and random feature selection create diversity among trees. It reviews classification and regression trees, impurity measures, pruning, regression…

AkcijasMašīnmācīšanāsFaktoru ieguldīšanaStatistika
BigQuant

This report summary describes two models for China’s nonferrous metals sector: macroeconomic and industry-data timing for the sector, and multifactor stock selection within it. For timing, it uses mean t-tests to identify candidate indicators for both…

Ķīnas tirgiAkcijasIzejvielasFaktoru ieguldīšana
BigQuant

This research review examines whether actively managed U.S. equity funds can generate CAPM alpha without weakening the coskewness of their returns with the market. It explains why investors who value positive skew may care about coskewness alongside…

AkcijasStatistikaRiska pārvaldībaPortfeļa veidošana
BigQuant

The note introduces quantitative investing as a standardized process that uses data, mathematical rules, and a model to make investment decisions. It contrasts this approach with discretionary stock selection based on personal feelings, describing how a…

StatistikaRiska pārvaldība
BigQuant

The article sketches a basic intraday T+0 approach for a stock expected to move within a relatively narrow range for some time. It proposes setting a price-amplitude threshold and making frequent small-lot trades to capture gains from oscillations. The…

AkcijasAtgriešanās pie vidējās vērtībasRīkojumu izpildeRiska pārvaldība
BigQuant

This study examines how analyst coverage and earnings forecast revisions relate to the negative association between idiosyncratic volatility (IVOL) and future stock returns in Chinese A-shares. It measures IVOL from residual volatility in a Fama–French…

AkcijasĶīnas tirgiSvārstīgumsFaktoru ieguldīšana
BigQuant

This weekly report summarizes several Chinese equity strategies for May 2018, including multi-factor index enhancement, short-horizon price-volume, AI stock selection, Smart Beta, event-driven selection, ESG, similarity matching, and an R-breaker trading…

AkcijasĶīnas tirgiFaktoru ieguldīšanaUz notikumiem balstīta tirdzniecība
BigQuant

This announcement describes the launch of a collaborative factor research group and outlines how participants will share and preserve their work. The organizers propose regular progress summaries, periodic research reports, and presentations, with factors…

Faktoru ieguldīšanaAkcijasVēsturisko datu pārbaude
BigQuant

This excerpt analyzes how China’s carbon-reduction targets and global renewable deployment could create work for construction companies in power generation, storage, and grid infrastructure. It describes engineering opportunities in wind and solar projects,…

AkcijasĶīnas tirgiIzejvielasRiska pārvaldība
BigQuant

This research summary examines whether intraday data can improve sector-rotation signals, focusing on realized skewness and the share of volatility attributable to downside moves. It describes constructing these measures from high-frequency observations and…

Ķīnas tirgiFaktoru ieguldīšanaAugstas frekvences tirdzniecībaPortfeļa veidošana
BigQuant

The document reviews Chinese A-share stocks with very large gains from two perspectives. First, it surveys high-return stocks by year since 2009 and considers market conditions, company size, recent listings, and corporate restructuring as possible…

AkcijasFaktoru ieguldīšanaStatistikaĶīnas tirgi
BigQuant

The document defines industry leader stocks as companies with strong analyst coverage and fundamentals that are closely related to those of other firms in their industry. It reports that analysts tend to cover more heavily companies whose fundamentals move…

AkcijasFaktoru ieguldīšanaCenas impulssStatistika