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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: 3,481

BigQuant

The document outlines the role of an integrated quantitative trading platform. It describes a workflow that brings market data analysis, strategy development, historical backtesting, risk assessment, and automated execution together. It also notes that…

Vēsturisko datu pārbaudeRīkojumu izpildeRiska pārvaldībaVairāku aktīvu tirdzniecība
BigQuant

The document outlines a broad framework for evaluating equity factors. It combines periodic cross-sectional robust linear regression to estimate factor returns, information coefficients (IC) to measure the relationship between factor exposures and subsequent…

AkcijasFaktoru ieguldīšanaStatistikaVēsturisko datu pārbaude
BigQuant

This stock-selection strategy ranks shares using large-order net inflow and relative price performance. Its stated purchase screen looks at the prior 30 trading days, selecting stocks whose net inflow share from very large orders is among the top 5% of the…

AkcijasCenas impulssStatistikaVēsturisko datu pārbaude
BigQuant

This research note describes a method for detecting support and resistance lines in Chinese A-share price series. It adapts a local high and low point approach with quantile regression, defining line slopes for continuation patterns such as triangles,…

AkcijasĶīnas tirgiTehniskie indikatoriCenas izrāviens
BigQuant

This tutorial explains how to request foreign exchange futures market data through an HTTP endpoint and a WebSocket connection. It uses the micro British pound continuous contract as an example, showing how request parameters identify the bar interval,…

Nākotnes līgumiValūtu tirgusTirgus mikrostruktūraRīkojumu izpilde
BigQuant

The article summarizes research on whether diversified business groups take longer than single industry firms to have earnings news reflected in share prices. It argues that interpreting segment results is harder when a company spans businesses with…

AkcijasCenas impulssStatistikaFaktoru ieguldīšana
BigQuant

A user reports that BigQuant’s trade simulation showed a purchase at the market open and a sale at the close on the same day, despite having no carried position and expecting the position to be zero. The response explains that this can be normal because the…

Rīkojumu izpildeVēsturisko datu pārbaude
BigQuant

This brief question-and-answer explains how to assess whether returns across factor-sorted groups are ordered. A factor analysis sorts stocks in a chosen universe by factor value and divides them into groups; the lowest-ranked factor values form the bottom…

Faktoru ieguldīšanaAkcijasStatistika
BigQuant

This BigQuant example builds a mainland Chinese stock portfolio by screening for eligible main-board shares and excluding suspended, ST, and recently listed names. It requires positive trailing earnings and dividend yield, caps float market capitalization,…

AkcijasĶīnas tirgiFaktoru ieguldīšanaPortfeļa veidošana
BigQuant

This discussion compares high-frequency price and volume strategies with lower-frequency fundamental quant investing in China’s equity market. It argues that high-frequency approaches depend heavily on hardware and execution capabilities, while fundamental…

Ķīnas tirgiAkcijasAugstas frekvences tirdzniecībaFaktoru ieguldīšana
BigQuant

This support exchange addresses errors encountered while following a BigQuant tutorial. It identifies two script issues: a data source table name cannot contain spaces, and the daily Chinese stock bar table exposes fields such as close, open, high, and low…

AkcijasStatistika
BigQuant

The report analyzes cross-sectional price momentum in Chinese equities and organizes possible improvements along two dimensions: whether a change refines the measurement or the formation process, and whether it uses price or return information. Examples…

AkcijasĶīnas tirgiCenas impulssFaktoru ieguldīšana
BigQuant

This report surveys asset-allocation approaches grouped by their inputs: mean-variance models, risk-allocation models, and subjective methods. It expresses several optimization-based risk models, including mean-variance, risk parity, and maximum…

Vairāku aktīvu tirdzniecībaPortfeļa veidošanaRiska pārvaldībaVēsturisko datu pārbaude
BigQuant

This example selects stocks from the Chinese equity market using dividend yield, share price, and circulating market capitalization. It first keeps the highest-dividend-yield quarter of the market and stocks priced below 10 yuan, then excludes certain…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaPortfeļa veidošana
BigQuant

The document introduces quantitative investing as using computer technology to analyze investment data, make trading decisions, and execute trades. It outlines two practical advantages: computers can process large amounts of information quickly, and…

Vairāku aktīvu tirdzniecībaStatistikaRiska pārvaldība
BigQuant

This research summary compares three sources for studying foreign ownership of China A-shares: QFII/RQFII disclosures, Stock Connect holdings, and Refinitiv Ownership data. QFII reports arrive at lower frequency and can be substantially delayed. Stock…

AkcijasĶīnas tirgiFaktoru ieguldīšanaStatistika
BigQuant

The document shows a workflow for calculating daily industry-level average price-to-earnings ratios for Chinese stocks. It queries industry membership and valuation data, groups constituents by date and industry, filters valuation records to each group,…

AkcijasĶīnas tirgiStatistikaRīkojumu izpilde
BigQuant

The document summarizes a study of stock price movement prediction in China’s A-share market. It describes combining five data types: historical trading data, technical indicators, company announcements, news, and Baidu search activity. The researchers…

AkcijasĶīnas tirgiMašīnmācīšanāsTehniskie indikatori
BigQuant

The report presents a Chinese equity timing approach that combines a prior model based on limit-move breadth with a price-volume confirmation model. Its premise is that the two systems capture different long-entry periods: the combined model aims to retain…

AkcijasĶīnas tirgiCenas impulssVēsturisko datu pārbaude
BigQuant

The document describes research that turns intraday stock volume data into factors for stock selection. It presents seven conventional volume distribution factors and six specialized ones. The methods include measuring minute volume through bucket entropy…

AkcijasFaktoru ieguldīšanaAugstas frekvences tirdzniecībaStatistika
BigQuant

This overview introduces several machine learning approaches used in stock strategies: deep neural networks, convolutional networks, LSTMs, gradient-boosted trees, and a ranking model built around GBDT. It briefly describes what each model can learn or…

MašīnmācīšanāsAkcijasRiska pārvaldībaVēsturisko datu pārbaude
BigQuant

This indicator takes the derivative of the difference between an arithmetic moving average and a geometric moving average. Both averages are calculated from OHLC4 prices, the mean of the open, high, low, and close for each bar. The description identifies…

Tehniskie indikatori
BigQuant

This Chinese-language report reviews the development of China’s quantitative fund industry across three periods: before 2010, 2010–2015, and 2016 onward. It outlines a strategy landscape spanning market-neutral equity, index enhancement, quantitative stock…

Ķīnas tirgiVairāku aktīvu tirdzniecībaSekošana tendenceiArbitrāža
BigQuant

This review summarizes research on how company news coverage relates to investment efficiency in US firms. The study measures inefficient investment as the difference between actual investment and an expected level based on sales growth, separating…

AkcijasASV tirgiUz notikumiem balstīta tirdzniecībaTirgus noskaņojums