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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
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

This brief forum exchange addresses a quant workflow problem: a ZScoreNorm standardization step produces only missing values. The response explains that the operation performs cross-sectional normalization and suggests inspecting the input data for an…

StatistikaMašīnmācīšanās
BigQuant

This summary of a Chinese brokerage factor-monitoring report compares recent performance across equity factors using several views: long-only excess returns, long-short returns, information ratios, and relative strength over roughly six months. Factors…

AkcijasFaktoru ieguldīšanaAtgriešanās pie vidējās vērtībasCenas impulss
BigQuant

The article argues that durable trading depends on treating each trade as a planned decision rather than an impulse. It recommends defining entry rules, recording the reason and timing for each trade, waiting for qualifying signals, and setting exit plans…

Riska pārvaldībaStatistika
BigQuant

This document summarizes long-run performance of Chinese equity factor portfolios and compares their results across market, economic, interest-rate, and volatility regimes. It reports that the portfolios had positive long-term returns, with size and…

AkcijasFaktoru ieguldīšanaPortfeļa veidošanaRiska pārvaldība
BigQuant

This forum post raises a factor-data debugging question: why can an industry-neutralized price-to-book factor contain missing values when the raw factor appears complete? It identifies an industry-neutralization function applied using a first-level industry…

AkcijasFaktoru ieguldīšanaStatistika
BigQuant

This report surveys hedging choices for U.S. equity portfolios during drawdowns and recessions, drawing on a historical sample from 1985 through 2018. It contrasts rolling index puts and short credit risk with Treasury and gold exposures, then examines…

AkcijasNākotnes līgumiOpcijasSekošana tendencei
BigQuant

This article proposes a qualitative decision framework based on comparing broad market strength with the strength of individual stocks. It organizes conditions into four cases: when both market and stock are strong, favor stock exposure; when the market is…

AkcijasCenas impulssRiska pārvaldība
BigQuant

This article argues that LSTM models trained on historical prices can appear to forecast stocks accurately because predicted daily prices often remain close to the previous day’s price. When plotted against actual prices, this persistence can look…

AkcijasMašīnmācīšanāsStatistikaVēsturisko datu pārbaude
BigQuant

This forum post reports a data-quality anomaly in the CSI 1000 constituent history: a query finds 1,001 component records for the index on July 26, 2023. It shows how to query the component table for dates from 2015 onward, then group records by date for the…

AkcijasĶīnas tirgiStatistika
BigQuant

This summary of a research report examines whether trade counts from tick-level transaction data can refine a traditional reversal factor in China’s order-driven A-share market. Trade count is defined as the number of matched transactions. The report says it…

Ķīnas tirgiAkcijasAtgriešanās pie vidējās vērtībasFaktoru ieguldīšana
BigQuant

The article summarizes a method for extracting priced common factors from stock returns. First, a Fama-MacBeth cross-sectional regression uses several return-predictive characteristics to estimate stocks’ expected returns. Stocks are then sorted into…

AkcijasFaktoru ieguldīšanaMašīnmācīšanāsStatistika
BigQuant

The report uses Hong Kong Exchange disclosures on holdings associated with northbound Stock Connect trading seats to estimate stock positions and sector-level additions. It argues that aggregate flows can obscure differences among market participants, then…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaVēsturisko datu pārbaude
BigQuant

This opinion article argues that quantitative trading is a tool used by larger market participants rather than the primary force setting a stock's longer-term direction. It describes how large orders might trigger automated buying or stop-driven selling,…

AkcijasTirgus mikrostruktūraTehniskie indikatoriRiska pārvaldība
BigQuant

This article outlines a reproduction of a research approach that predicts whether a stock’s closing price will rise or fall over a future horizon. It applies exponential smoothing to Apple daily price data, then builds a binary target from the price change…

AkcijasMašīnmācīšanāsTehniskie indikatoriStatistika
BigQuant

The report summary examines whether stock momentum spreads among companies linked by industry, geography, supply chains, or similar technologies. For A-shares, it reports that portfolios formed on industry momentum had higher average monthly returns at the…

Ķīnas tirgiAkcijasCenas impulssFaktoru ieguldīšana
BigQuant

This report excerpt describes a weekly framework for monitoring profitability and business conditions across selected primary and secondary industries in China's CITIC classification. It tracks trailing-twelve-month return on equity and places current…

Ķīnas tirgiAkcijasStatistikaFaktoru ieguldīšana
BigQuant

This tutorial introduces bias, variance, and irreducible error as sources of prediction error. It relates model complexity to underfitting and overfitting: overly simple models tend to perform poorly on both training and test data, while overly complex…

MašīnmācīšanāsStatistikaVēsturisko datu pārbaude
BigQuant

This brief programming note explains how to convert numeric timestamps in JSON into calendar dates. It uses sample values that pair large timestamp integers with compact date representations, then shows the general conversion approach in JavaScript and…

Statistika
BigQuant

The document introduces cointegration as a long-run relationship in which individually nonstationary series can have a linear combination that is stationary. It explains stationarity through stable statistical properties over time and contrasts it with…

Pāru tirdzniecībaStatistikaAtgriešanās pie vidējās vērtības
BigQuant

The article argues that mean and variance alone may miss information when market returns depart from a stable Gaussian pattern. It describes higher moments, especially odd-order moments, as potentially useful timing signals: their values reportedly expand…

AkcijasĶīnas tirgiTehniskie indikatoriStatistika
BigQuant

This guide explains how long-short equity portfolios combine stocks expected to rise with stocks expected to fall. It discusses possible return sources, including security selection, market timing, and exposure to factors such as value, growth, momentum, and…

AkcijasAtgriešanās pie vidējās vērtībasFaktoru ieguldīšanaPortfeļa veidošana
BigQuant

This discussion asks whether the maturation of China’s equity market will make quantitative investing harder. The concern is that institutional participation and competition may reduce behavioral inefficiencies and compress excess returns for both systematic…

AkcijasĶīnas tirgiStatistikaMašīnmācīšanās
BigQuant

This document describes a chart indicator that displays the MACD main line and signal line together with the MACD histogram. It is presented as a modification of the example MACD indicator included with MetaTrader 5. The fast and slow exponential moving…

Tehniskie indikatoriAkcijasVēsturisko datu pārbaude
BigQuant

The document summarizes a slack-based manager efficiency index (SMEI) for evaluating mutual fund managers as a whole rather than judging each fund in isolation. The data envelopment analysis framework treats risk, portfolio turnover, and a combined…

StatistikaFaktoru ieguldīšanaPortfeļa veidošanaRiska pārvaldība