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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 post explains how to calculate the number and share of stocks whose daily percentage change exceeds a chosen threshold. The proposed workflow filters a cross-sectional data frame on the return field, counts the qualifying rows, then divides by the total…

AkcijasStatistika
BigQuant

This forum post outlines the basic workflow of a multi-factor analysis backtest: sort stocks into groups by factor value, buy according to a rebalancing schedule, calculate each group’s returns, and report performance measures. It also notes that…

Faktoru ieguldīšanaVēsturisko datu pārbaudePortfeļa veidošana
BigQuant

This article summarizes research on the relationship between U.S. industry portfolio returns and the VIX, an options-derived measure of expected stock-market volatility. It describes analysis of 49 industry portfolios, comparing return characteristics and…

AkcijasSvārstīgumsFaktoru ieguldīšanaPortfeļa veidošana
BigQuant

Gerber statistics offer a threshold-based way to estimate dependence between asset returns. Each return is classified by whether it rises or falls beyond an asset-specific threshold; paired observations count as concordant when both move substantially in the…

StatistikaPortfeļa veidošanaAkcijasFiksēta ienākuma instrumenti
BigQuant

This tutorial introduces gplearn, a Python library that uses genetic programming for regression and symbolic regression. Candidate expressions are iteratively selected, crossed, and mutated to find mathematical relationships in data. The resulting formulas…

MašīnmācīšanāsStatistikaFaktoru ieguldīšanaAkcijas
BigQuant

This study examines value, momentum, carry, and defensive factor returns across six asset classes using data spanning roughly a century. It compares each factor’s discovery period with earlier and later periods, using the long history and cross-asset…

Faktoru ieguldīšanaVairāku aktīvu tirdzniecībaCenas impulssPārnese
BigQuant

The document reviews a holdings-based framework for attributing Spanish domestic equity mutual fund performance to four sources: momentum-related trading, security selection, active market timing, and passive timing effects caused by changing security betas.…

AkcijasPortfeļa veidošanaStatistikaRiska pārvaldība
BigQuant

The document summarizes research on pairs trading among liquid large- and mid-cap stocks in Mainland China and Hong Kong from 1996 to 2017. It compares strategies confined to each market with strategies that form pairs across the two markets, assessing…

Pāru tirdzniecībaAkcijasĶīnas tirgiAtgriešanās pie vidējās vērtības
BigQuant

This A-share strategy ranks eligible stocks using year-over-year net-profit growth and total market capitalization. It subtracts each stock’s size rank from its growth rank, favoring companies with stronger earnings growth and relatively smaller market…

AkcijasFaktoru ieguldīšanaĶīnas tirgiPortfeļa veidošana
BigQuant

This page points to a presentation and code for a multi-instrument CTA strategy built around Dual Thrust. Its outline identifies trend capture, fixed-fraction position sizing for risk control, diversification or hedging across three instruments, and backtest…

Nākotnes līgumiSekošana tendenceiPozīcijas apjoma noteikšanaRiska pārvaldība
BigQuant

This platform discussion describes a research use case: detect a recent stock anomaly, wait for a later price adjustment, and potentially act when the stock reaches a level tied to the anomaly day. Its example defines an anomaly using a sharp increase in…

AkcijasUz notikumiem balstīta tirdzniecībaStatistikaĶīnas tirgi
BigQuant

This overview describes quantitative investing as the use of rules or factors developed by analyzing historical market data. It presents broad stock coverage and repeated trading as a way to aggregate small predictive edges, and says quant strategies may…

AkcijasMašīnmācīšanāsStatistikaRiska pārvaldība
BigQuant

This report summary reviews Schroders as an asset manager and describes its investment approach, asset mix, and historical fund performance. It says the firm focuses on asset management, with equities prominent in its portfolios, and reports that many funds…

Vairāku aktīvu tirdzniecībaAkcijasFaktoru ieguldīšanaPortfeļa veidošana
BigQuant

The post describes a discrepancy observed after adding a rolling-training module to a strategy on a Chinese quantitative trading platform. Without rolling training, the author says simulated live trades and later tracking backtests matched. With rolling…

MašīnmācīšanāsVēsturisko datu pārbaudeRīkojumu izpilde
BigQuant

This article warns against four stock-selection habits: judging risk by a share’s nominal price, chasing popular themes without understanding their drivers, buying on favorable announcements without considering expectations already reflected in the price,…

AkcijasĶīnas tirgiRiska pārvaldība
BigQuant

This report summary examines how to assess the banking sector using bank fundamentals alongside broader economic conditions. It argues that bank share-price movements are driven more by valuation than by changes in reported earnings, which may limit the…

AkcijasĶīnas tirgiStatistikaVēsturisko datu pārbaude
BigQuant

The document gives brief examples of using large-scale and unconventional data to inform investment research. Satellite images of retail and office parking areas are described as a way to estimate business activity, while satellite monitoring of shipping is…

Vairāku aktīvu tirdzniecībaTirgus noskaņojumsMašīnmācīšanās
BigQuant

This forum post documents a user’s difficulty placing repeated buy orders in a BigQuant backtest. The strategy loops over target stocks and submits equal-weight target-percentage orders; some buys return error -108, while later orders in the same loop can…

AkcijasRīkojumu izpildePortfeļa veidošanaVēsturisko datu pārbaude
BigQuant

This short question-and-answer concerns a futures backtest in which the account's total assets appear to rise to roughly twice the amount used to buy a stock. The author reports trying several order methods, including placing an order by quantity, by…

Nākotnes līgumiVēsturisko datu pārbaudeRiska pārvaldībaPozīcijas apjoma noteikšana
BigQuant

This article discusses how to manage strategy exposure during changing market conditions. It contrasts concentrating capital in one stock with spreading risk across positions or strategies, noting that concentration can produce sharp gains as well as large…

AkcijasRiska pārvaldībaPozīcijas apjoma noteikšanaTirgus noskaņojums
BigQuant

The report examines position management and timing for absolute-return equity strategies. It tests fundamental proxies for liquidity, earnings, and valuation: the year-over-year change in quarterly EPS, historical price-to-earnings valuation, and the…

AkcijasPozīcijas apjoma noteikšanaTehniskie indikatoriVēsturisko datu pārbaude
BigQuant

The document explains how Brinson attribution uses portfolio holdings to separate active return into allocation and security-selection effects. The framework can be applied across industries for equity funds or across broad asset classes for mixed-asset…

Portfeļa veidošanaStatistikaAkcijasVairāku aktīvu tirdzniecība
BigQuant

This note presents an investment case for China’s technology sector and describes the CSI Technology 50 Index. It argues that reduced access to overseas technology through acquisitions, combined with domestic innovation policies, creates a basis for…

AkcijasĶīnas tirgiFaktoru ieguldīšana
BigQuant

This brief Chinese-language strategy notice describes a minute-frequency approach to pursuing stocks that reach their daily price limits. It says the model monitors three dimensions across the market: concept or theme popularity, capital flows, and price…

AkcijasĶīnas tirgiCenas impulssCenas izrāviens