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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
Quantopian lekcijas
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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
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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

This report summary introduces entropy pooling as a way to incorporate qualitative or quantitative views into a risk model by updating a probability distribution. It contrasts the approach with the Black–Litterman model, describing broader choices for risk…

StatistikaPortfeļa veidošanaRiska pārvaldībaVairāku aktīvu tirdzniecība
BigQuant

The document summarizes research on weighting equity alpha factors through factor-mimicking portfolios (FMPs). It presents FMPs as an alternative representation of alpha signals under a stock covariance model, with linear combinations of factors…

AkcijasFaktoru ieguldīšanaPortfeļa veidošanaStatistika
BigQuant

The research note explains how alpha factors can be represented through factor-mimicking portfolios (FMPs) under a stock covariance model. It describes translating linear combinations of alpha factors into corresponding combinations of FMPs, then choosing…

AkcijasFaktoru ieguldīšanaPortfeļa veidošanaStatistika
BigQuant

This article outlines a directional strategy for Chinese equity index futures based on a schedule of daily long, short, or no-trade signals prepared in advance for the week. It describes opening an initial position around 10 a.m., adding to it around 2 p.m.…

Nākotnes līgumiĶīnas tirgiVēsturisko datu pārbaudeRīkojumu izpilde
BigQuant

This report summary describes fundamental implied returns, or FIR, as a measure of fundamental momentum intended to use more information than conventional measures. FIR accounts for lagged fundamental variables and their time trends, and can be constructed…

AkcijasCenas impulssFaktoru ieguldīšanaStatistika
BigQuant

This overview presents fixed-income-plus investing as a way to seek steadier returns by combining bonds and equities. Its central portfolio argument is that historically low, often negative, correlations between Chinese stocks and bonds can let an…

Fiksēta ienākuma instrumentiAkcijasVairāku aktīvu tirdzniecībaPortfeļa veidošana
BigQuant

The document summarizes research on using corporate earnings-call transcripts to predict subsequent stock-price movements. Earnings calls contain management discussion of financial performance and information that investors and analysts may use when making…

AkcijasMašīnmācīšanāsTirgus noskaņojumsStatistika
BigQuant

This research framework measures crowding in equity industries using price and trading activity. It groups candidate indicators into trend-oriented measures, including price deviation and moving-average dispersion; supplementary measures such as turnover,…

AkcijasĶīnas tirgiFaktoru ieguldīšanaCenas impulss
BigQuant

This study examines why publicly listed Asian companies disclose environmental, social, and governance information. Using panel data and regression models, it tests whether economic sustainability performance, profitability, leverage, and company size are…

AkcijasĶīnas tirgiStatistika
BigQuant

The document proposes adding a simple API to retrieve selected strategy performance metrics over a specified date range. Examples include the Sharpe ratio, annualized return, benchmark return, and alpha. The request responds to a gap between an existing…

Vēsturisko datu pārbaudeStatistikaMašīnmācīšanās
BigQuant

This stock-selection rule screens companies classified in the metaverse industry, requires the prior day’s actual turnover rate to fall between 3% and 28%, and looks for a weekly close crossing above its 30-week moving average. The rationale is that the…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
BigQuant

The discussion explains that a supervised model learns from factors paired with labels, where a label defines the target. For stock selection, the target might be future returns over a chosen horizon. The model and label together determine what predictions…

MašīnmācīšanāsFaktoru ieguldīšanaAkcijasStatistika
BigQuant

This study examines how exposure to international trade relates to US stock returns. It uses industry transportation costs as a measure of globalization exposure, sorting stocks into portfolios and comparing their excess returns. The reported evidence…

AkcijasFaktoru ieguldīšanaASV tirgiPortfeļa veidošana
BigQuant

The document answers whether a factor can be neutralized for both market capitalization and industry exposure. It recommends including market capitalization as a continuous explanatory variable and industry membership as dummy variables in the same…

Faktoru ieguldīšanaStatistikaAkcijas
BigQuant

This event study examines how Chinese A-share prices behave around formal earnings reports, especially when companies previously issued earnings forecasts. It compares reported results with forecast ranges and groups companies by forecast category or by the…

AkcijasUz notikumiem balstīta tirdzniecībaCenas impulssStatistika
BigQuant

This report applies behavioral finance to equity factor research, using the disposition effect and prospect theory to explain how investors' risk preferences may differ depending on whether they hold gains or losses. It constructs a capital gains overhang…

AkcijasĶīnas tirgiFaktoru ieguldīšanaVēsturisko datu pārbaude
BigQuant

This report compares groups of Chinese equity factors across industries, focusing on cash flow, valuation, size, momentum, liquidity, volatility, beta, and alpha. Its stated findings come from portfolio net value behavior, industry-level results, ranking…

AkcijasFaktoru ieguldīšanaStatistikaCenas impulss
BigQuant

This BigQuant forum post discusses how to define a factor for stocks closing above their historical maximum high. The example query groups earlier price records by instrument and name to calculate a prior high, then compares a later close with that value.…

AkcijasCenas izrāviensTehniskie indikatoriĶīnas tirgi
BigQuant

This study describes a grouped-factor approach to combining quality, growth, and value signals for A-share stock selection. A quality composite based on enterprise value and return on equity ranks stocks and defines a filtered universe for further selection.…

AkcijasFaktoru ieguldīšanaPortfeļa veidošanaĶīnas tirgi
BigQuant

This Chinese-language post outlines an equity screen for companies classified in the metaverse theme. It selects stocks whose actual turnover rate from two sessions earlier falls between 3% and 28%, and whose current control-related measure exceeds 21. The…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
BigQuant

This research summary asks whether financial data vendors act as information intermediaries in equity markets. It focuses on FirstCall, a Thomson Reuters service, and whether the timing of its distribution of earnings information affects how investors…

AkcijasUz notikumiem balstīta tirdzniecībaTirgus mikrostruktūraStatistika
BigQuant

This research note summarizes a study of downside volatility as a measure of portfolio risk and compares it with conventional volatility. It reports that the measures are generally closely related, but their relationship weakens during historically turbulent…

SvārstīgumsRiska pārvaldībaFaktoru ieguldīšanaPortfeļa veidošana
BigQuant

This 2020 research summary argues that the Shenzhen 100 could suit long-term allocation, describing it as a liquid large- and mid-cap index with both growth and blue-chip characteristics. It cites fundamentals reported at the time, including return on equity…

AkcijasĶīnas tirgiFaktoru ieguldīšanaPortfeļa veidošana
BigQuant

This Chinese-language knowledge post explains a mismatch in a sample trailing-stop calculation. The code obtains a holding duration by subtracting the position’s last sale date from the current date, which yields calendar days. It then passes that duration…

AkcijasRiska pārvaldībaRīkojumu izpildeVēsturisko datu pārbaude