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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
WonderTrader
Dokumentu skaits: 14
Alphalens
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

This report summary describes ways to derive equity selection factors from the distribution and time patterns of individual trade amounts within each minute. Proposed statistics include quantiles, standard deviation, skewness, and kurtosis. It also discusses…

AkcijasFaktoru ieguldīšanaTirgus mikrostruktūraAtgriešanās pie vidējās vērtības
BigQuant

This forum question concerns two lines in a portfolio trading template that limit how much cash may be allocated to an instrument. The poster asks whether the instrument is a stock selected by a prediction step, whether the maximum cash parameter is the…

Pozīcijas apjoma noteikšanaRiska pārvaldībaAkcijas
BigQuant

The document outlines a portfolio construction method for fund-of-funds portfolios targeting absolute returns. It combines Black-Litterman expected-return estimates, which blend market equilibrium returns with investors’ absolute or relative views according…

Vairāku aktīvu tirdzniecībaPortfeļa veidošanaRiska pārvaldībaStatistika
BigQuant

The speaker argues that quantitative investing should combine statistical description, machine learning prediction, and economic or financial theory. These serve different purposes: describing data, forecasting outcomes, and explaining underlying mechanisms.…

MašīnmācīšanāsStatistikaRiska pārvaldībaASV tirgi
BigQuant

This Chinese equity screening proposal selects stocks with MACD above zero, applies filters based on company type, and excludes the technology innovation board. The post presents the approach as combining a technical signal with company classification. It…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
BigQuant

This document examines Chinese A-share stocks that lose an ST designation after financial or other problems are resolved. It frames the removal as a potentially positive corporate event and discusses prediction based on periodic financial reports and…

AkcijasĶīnas tirgiUz notikumiem balstīta tirdzniecībaVēsturisko datu pārbaude
BigQuant

This article describes a customizable stock-selection strategy built around five rules, mainly intended to identify oversold shares that may be stabilizing, with some rules aimed at potential upward moves. It contrasts platform-generated AI strategies, which…

AkcijasĶīnas tirgiVēsturisko datu pārbaudeTehniskie indikatori
BigQuant

The document explains the Sharpe ratio as portfolio excess return over a risk-free rate divided by portfolio return volatility. It identifies the portfolio return, risk-free rate, and standard deviation as the inputs, with short-term government debt offered…

StatistikaRiska pārvaldībaPortfeļa veidošana
BigQuant

This research summary compares 17 machine learning approaches with conventional linear methods for predicting stock excess returns from 51 alpha factors. It describes splitting the prediction into two parts: an AR(1) forecast for return dispersion and a…

AkcijasMašīnmācīšanāsFaktoru ieguldīšanaStatistika
BigQuant

The document describes a monthly equity strategy based on market capitalization. At each month end, it ranks eligible stocks from smallest to largest by market value and buys the ten smallest. The portfolio holds those selections for the following month,…

AkcijasFaktoru ieguldīšanaĶīnas tirgiPortfeļa veidošana
BigQuant

This research note describes an equity timing framework that combines more than thirty indicators across liquidity, economic conditions, valuation, capital flows, technical signals, and investor sentiment. It aggregates the indicators into a score ranging…

AkcijasTehniskie indikatoriTirgus noskaņojumsStatistika
BigQuant

This review summarizes research applying machine learning to monthly and annual returns for Chinese A-shares. The study combines stock characteristics, macroeconomic variables, and industry indicators, then compares linear models, tree methods, and neural…

Ķīnas tirgiAkcijasMašīnmācīšanāsFaktoru ieguldīšana
BigQuant

This polemical essay argues that quantitative funds have an unfair advantage over retail traders, focusing on differences in settlement and trading rules. It claims that institutional strategies can exit or reverse positions rapidly while individual…

AkcijasAugstas frekvences tirdzniecībaTirgus mikrostruktūraRīkojumu izpilde
BigQuant

This document is a brief synopsis of a research report on strategic asset allocation and fund-of-funds investing. It says the report covers the research context, an asset-allocation framework, calculation models, and empirical strategy analysis. The subject…

Vairāku aktīvu tirdzniecībaPortfeļa veidošanaVēsturisko datu pārbaude
BigQuant

This practitioner report describes experiments using a deep neural network to select stocks for a rapid rotation strategy. The model labels stocks by their subsequent return over a short holding interval, divides outcomes into ranked classes, and uses a…

AkcijasMašīnmācīšanāsAugstas frekvences tirdzniecībaVēsturisko datu pārbaude
BigQuant

This assignment analyzes how a stock selection strategy’s exposure to market styles changes over time, then outlines a framework for rotating among factor strategies. The initial analysis uses a small-capitalization selection factor and compares strategy…

AkcijasFaktoru ieguldīšanaStatistikaVēsturisko datu pārbaude
BigQuant

This note explains how to use TA-Lib functions in feature definitions. It distinguishes the function name from its inputs and clarifies that a feature label such as “ma” is only a name, while the expression supplies the price series and parameters. For…

Tehniskie indikatori
BigQuant

The document summarizes research on shared movements across commodity markets. It reports that commodity return fluctuations often move together and that a common factor explains a substantial portion of their variation. The factor is closely associated with…

IzejvielasFaktoru ieguldīšanaStatistika
BigQuant

This research summary proposes an information-distribution uniformity factor, UID, based on the idea that uneven arrivals of information create changes in share-price volatility. It uses intraday stock data to calculate daily high-frequency volatility, then…

AkcijasĶīnas tirgiSvārstīgumsFaktoru ieguldīšana
BigQuant

This forum exchange addresses how to skip a planned stock purchase when the stock opens more than 9% above its previous close. The suggested workflow is to add the opening price and prior close to the prediction dataset, merge those values with the…

AkcijasVēsturisko datu pārbaudeRīkojumu izpilde
BigQuant

DynamicRS is a price indicator built from comparisons among the current bar's high or low, the corresponding value on the previous bar, a value from a specified number of bars earlier, and the prior indicator reading. When the high-side conditions are met,…

Tehniskie indikatoriAkcijas
BigQuant

The article reviews research on salience theory in equity pricing. Investors are proposed to overweight unusually prominent past returns relative to the market: strong standout gains can attract demand and raise prices, while conspicuous declines can depress…

AkcijasFaktoru ieguldīšanaTirgus noskaņojumsStatistika
BigQuant

A user asks whether a futures position should be counted at its full market value or at a value adjusted for margin when a strategy calculates returns by adding asset value and cash. The reply emphasizes that futures use margin and daily settlement, so their…

Nākotnes līgumiRiska pārvaldībaStatistika
BigQuant

This research summary considers how the CSI 300 might change if Chinese companies listed overseas returned to mainland China. It notes that trade tensions and tighter US oversight were associated with weaker performance of US-listed Chinese stocks relative…

AkcijasĶīnas tirgiPortfeļa veidošanaStatistika