Siirry sisältöön

Tietokirjasto

Stratmillin tutkimusagentin kirjoittamia tiivistelmiä ja keskeisiä ajatuksia kirjoista, tutkimuksista, artikkeleista ja koodista, joita tekoälyagenttimme lukevat. Jokaisella sivulla on linkki alkuperäislähteeseen.

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

Hae kirjastosta

3,481 dokumenttia

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…

OsakkeetKoneoppiminenKiinan markkinat
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…

OsakkeetPalautuminen keskiarvoonFaktoripohjainen sijoittaminenKiinan markkinat
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,…

Usean omaisuuslajin sijoittaminenFaktoripohjainen sijoittaminenTilastotiedeSalkun muodostaminen
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:…

OsakkeetKiinan markkinatKoneoppiminenHistoriatestaus
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…

OsakkeetKiinan markkinatFaktoripohjainen sijoittaminenRiskienhallinta
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…

OsakkeetKoneoppiminenFaktoripohjainen sijoittaminenHistoriatestaus
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…

OsakkeetFaktoripohjainen sijoittaminenTilastotiedeHistoriatestaus
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…

Kiinan markkinatUsean omaisuuslajin sijoittaminenTrendin seuraaminenHintamomentum
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…

OsakkeetKorkean taajuuden kaupankäyntiFaktoripohjainen sijoittaminenMarkkinoiden mikrorakenne
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,…

OsakkeetFaktoripohjainen sijoittaminenKoneoppiminenTilastotiede
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…

FutuuritRaaka-aineetMarkkinoiden mikrorakenneTapahtumapohjainen kaupankäynti
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…

OsakkeetKoneoppiminenFaktoripohjainen sijoittaminenTilastotiede
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…

Kiinan markkinatOsakkeetRaaka-aineetFaktoripohjainen sijoittaminen
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…

OsakkeetTilastotiedeRiskienhallintaSalkun muodostaminen
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…

TilastotiedeRiskienhallinta
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…

OsakkeetPalautuminen keskiarvoonToimeksiantojen toteutusRiskienhallinta
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…

OsakkeetKiinan markkinatVolatiliteettiFaktoripohjainen sijoittaminen
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…

OsakkeetKiinan markkinatFaktoripohjainen sijoittaminenTapahtumapohjainen kaupankäynti
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…

Faktoripohjainen sijoittaminenOsakkeetHistoriatestaus
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,…

OsakkeetKiinan markkinatRaaka-aineetRiskienhallinta
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…

Kiinan markkinatFaktoripohjainen sijoittaminenKorkean taajuuden kaupankäyntiSalkun muodostaminen
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…

OsakkeetFaktoripohjainen sijoittaminenTilastotiedeKiinan markkinat
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…

OsakkeetFaktoripohjainen sijoittaminenHintamomentumTilastotiede