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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
Quantpedia
Dokumentu skaits: 86
TqSdk
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

The note shows how to retrieve Chinese A-share index membership data in BigQuant and filter it for a chosen index. It reads the basic index constituent table, then selects records by the index identifier; an additional filter narrows membership to a…

AkcijasĶīnas tirgiVēsturisko datu pārbaude
BigQuant

This brief discussion asks how to translate legacy rolling-factor expressions into SQL: a five-day sum of turnover, a five-day mean of closing prices shifted three days back, and a ten-day statistic. It also raises a practical data-type issue when…

AkcijasStatistika
BigQuant

This report summary studies whether mutual funds that performed relatively well continue to do so, and whether weak performers remain weak. It defines persistence through the serial relationship in a fund’s Sharpe ratios: each month, it calculates Sharpe…

AkcijasStatistikaFaktoru ieguldīšanaPortfeļa veidošana
BigQuant

The document raises a visualization concern: a smooth backtest equity curve may conceal the size of fluctuations a strategy could experience in practice. It proposes displaying results as daily candles, including each day’s high and low, so readers can see…

Vēsturisko datu pārbaudeRiska pārvaldībaSvārstīgums
BigQuant

This paper proposes a Transformer model for predicting stock price movements, with enhancements intended to capture both local structure and longer-range relationships in financial time series. A multi-scale Gaussian prior is added to encourage the attention…

AkcijasMašīnmācīšanāsStatistika
BigQuant

This report overview argues that commodity price forecasts should combine fundamental and technical analysis. It groups actively traded Chinese commodity futures into five broad sectors—ferrous materials, chemicals, agriculture, nonferrous metals, and…

IzejvielasNākotnes līgumiSvārstīgumsTehniskie indikatori
BigQuant

This trading-rule example explains how to identify stocks that have had exactly one limit-up day during a recent lookback window and then return close to that event day's opening price. The suggested workflow begins with a precomputed limit-up status…

AkcijasTehniskie indikatoriVēsturisko datu pārbaudeRīkojumu izpilde
BigQuant

This brief troubleshooting exchange addresses an error encountered when industry features are passed to a shared data-cleaning module for industry neutralization. The reported failure says the industry field is not one-dimensional, but the exchange does not…

Faktoru ieguldīšanaStatistika
BigQuant

This study examines whether firms with predictable quarterly earnings patterns earn unusual stock returns when they announce earnings in their historically strong quarter. It measures seasonality mainly by ranking a firm’s earnings over five years and…

AkcijasFaktoru ieguldīšanaUz notikumiem balstīta tirdzniecībaStatistika
BigQuant

This brief Q&A explains how to trigger a stock purchase on a chosen trading date within a BigQuant strategy’s main function. The suggested method is to read the simulation’s current date and time through the platform’s current-time interface, compare it with…

AkcijasVēsturisko datu pārbaudeRīkojumu izpildePozīcijas apjoma noteikšana
BigQuant

This investment research summary argues that demand from downstream applications may offer more useful opportunities than broad electronics-sector classifications. It highlights automotive electronics, virtual and augmented reality, defense, industrial and…

AkcijasĶīnas tirgiFaktoru ieguldīšana
BigQuant

The article introduces support as a price area associated with repeated local lows and resistance as an area associated with repeated local highs. It outlines a simple charting workflow: gather price history, use a rolling window to identify local extrema,…

Tehniskie indikatoriCenas izrāviensRiska pārvaldība
BigQuant

The article argues that greater differences among stocks can improve the opportunity set for systematic equity strategies. When company returns, sectors, and factors diverge, models can rank securities using valuation, momentum, quality, earnings revisions,…

AkcijasFaktoru ieguldīšanaTirgus mikrostruktūraMašīnmācīšanās
BigQuant

This A-share stock selection example screens for companies meeting three stated criteria: profit growth above 15%, return on equity above 15% for three consecutive years, and a price-to-earnings ratio below 35. The implementation treats profit growth, return…

AkcijasFaktoru ieguldīšanaVēsturisko datu pārbaudePortfeļa veidošana
BigQuant

This research summary reviews stock-selection factors derived from tick-by-tick trade data, including large-buy share, buy-order concentration, intraday aggressive buying, and informed buying or selling measures. After orthogonalization, the factors…

AkcijasĶīnas tirgiAugstas frekvences tirdzniecībaFaktoru ieguldīšana
BigQuant

The document describes a study of four MSCI smart beta equity indexes and a market weighted benchmark. It uses principal component analysis (PCA) to separate shared market movements from strategy specific components, then regresses those components on Fama…

AkcijasFaktoru ieguldīšanaStatistikaPortfeļa veidošana
BigQuant

This paper summary describes a reinforcement-learning approach to continuous-time mean-variance portfolio selection. It frames the problem as entropy-regularized relaxed stochastic control, aiming to balance theoretical tractability with practical…

Portfeļa veidošanaMašīnmācīšanāsRiska pārvaldība
BigQuant

This research note explores whether patent data can reveal links between companies that are missed by industry or supply-chain groupings. It uses shared International Patent Classification information to estimate technological similarity, then tests whether…

AkcijasFaktoru ieguldīšanaCenas impulssAtgriešanās pie vidējās vērtības
BigQuant

This Chinese-language example describes a value-oriented stock selection strategy that refreshes its portfolio every 30 trading days. It selects stocks with positive price-to-book ratios below 1.5 and positive price-to-earnings ratios below 15, provided they…

AkcijasFaktoru ieguldīšanaVēsturisko datu pārbaudePortfeļa veidošana
BigQuant

This research summary reviews a study of how unexpected Federal Reserve policy changes relate to returns across firms with different financing constraints. Using U.S. company and stock data from 1994 to 2007, the study classifies firms by constraint indices…

AkcijasStatistikaUz notikumiem balstīta tirdzniecībaRiska pārvaldība
BigQuant

The article presents a four-stage account of how quantitative traders might exploit retail attention around a fast-rising stock. It describes monitoring public sentiment and trading history to estimate likely stop levels, placing and canceling large pre-open…

AkcijasTirgus mikrostruktūraTirgus noskaņojumsRīkojumu izpilde
BigQuant

The document explains a backtesting context method that checks whether a sell order for a specified security remains unfilled. The method takes the security symbol as its argument and returns a Boolean value indicating whether an order is still awaiting…

Rīkojumu izpildeAkcijas
BigQuant

This Chinese-language post collects questions about factor research and strategy implementation, but does not provide answers. Topics include adding data factors, scheduling entries and exits, evaluating and combining factors, handling collinearity,…

AkcijasFaktoru ieguldīšanaMašīnmācīšanāsStatistika