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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 document reports a question about inconsistent price bases in a Chinese stock strategy backtest. A user compares adjusted closing prices retrieved from a stock factor data table with a position cost price returned after placing an order. The former is…

AkcijasVēsturisko datu pārbaudeRiska pārvaldība
BigQuant

The report evaluates ten equity valuation measures, including earnings, book, sales, cash flow, dividend, enterprise value, and growth based ratios. It first describes how factor levels vary across industries and company sizes, and how those relationships…

AkcijasFaktoru ieguldīšanaStatistikaVēsturisko datu pārbaude
BigQuant

This research roundup describes two separate studies. The first examines the Stochastic Volatility Inspired (SVI) parameterization for modeling implied volatility surfaces. It reports theoretical results and empirical analysis suggesting that, under…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšanaStatistika
BigQuant

A forum question examines whether checking an asset's tradeability during a daily backtest is useful when the resulting order may execute on the following day. The concern is that an asset deemed tradable on the signal date could be suspended by the time the…

Vēsturisko datu pārbaudeRīkojumu izpildeAkcijas
BigQuant

This research note describes a method for detecting support and resistance lines in Chinese A-share price data and studying breakout behavior. It defines slope patterns for continuation formations, including triangles, rectangles, flags, and broadening…

AkcijasĶīnas tirgiCenas izrāviensTehniskie indikatori
BigQuant

This forum exchange addresses two practical questions about factor analysis: how to submit a factor that needs Python processing beyond SQL, and whether factor values must exist for every stock on every trading day. The reply says the SQL field may be left…

Faktoru ieguldīšanaAkcijasStatistika
BigQuant

The report examines how different types of restricted-share unlocks relate to stock performance before and after the release date. It describes supply pressure from newly tradable shares and anticipatory trading by other market participants as possible…

Ķīnas tirgiAkcijasUz notikumiem balstīta tirdzniecībaVēsturisko datu pārbaude
BigQuant

This summary of a Goldman Sachs outlook presents a framework for assessing China’s 2022 equity market across macroeconomic growth, corporate earnings, market cycles, policy, politics, regulation, and valuation. The report expected slower growth amid…

AkcijasĶīnas tirgiFaktoru ieguldīšanaRiska pārvaldība
BigQuant

This reference explains how a futures platform derives performance and activity measures at four levels: individual accounts, weighted account portfolios, individual strategies, and weighted strategy portfolios. It maps daily balance, fees, margin, risk,…

Nākotnes līgumiStatistikaRiska pārvaldībaPortfeļa veidošana
BigQuant

The article proposes a discretionary screen for Chinese stocks that may be entering a strong upward move. It combines four price and volume features: at least one limit-up session in roughly the prior month, an upward price gap, a run of at least four or…

AkcijasĶīnas tirgiCenas impulssCenas izrāviens
BigQuant

The document outlines a portfolio-allocation framework built around five macro risk factors: economic growth, consumer inflation, producer inflation, interest rates, and exchange rates. It describes constructing tradable factor proxies, reducing overlap…

Vairāku aktīvu tirdzniecībaPortfeļa veidošanaRiska pārvaldībaFaktoru ieguldīšana
BigQuant

The document shows a SQL query that combines Chinese stock data with valuation, profitability, growth, liquidity, leverage, turnover, and price-volume measures. Examples include book-to-market, earnings-to-price, sales-to-price, cash-flow-to-price, EBITDA…

AkcijasFaktoru ieguldīšanaTehniskie indikatoriĶīnas tirgi
BigQuant

This brief note frames Chinese A-share price-volume factors as potential signals of local trading behavior. It argues that prices can deviate from underlying value when trading activity affects how individual stocks are priced. Price reversal measures…

AkcijasĶīnas tirgiFaktoru ieguldīšanaAtgriešanās pie vidējās vērtības
BigQuant

The document outlines an equity screening idea for mainland Chinese main-board stocks. It combines a robotics-industry theme, a limit on circulating market capitalization, a specified turnover range, and a rising KDJ reading. It includes example screening…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
BigQuant

This 2018 market commentary explains a sharp equity selloff through the interaction of growth, inflation expectations, and the expected pace of Federal Reserve rate increases. It uses a simple valuation relationship—earnings divided by interest rates plus…

AkcijasFiksēta ienākuma instrumentiIzejvielasSvārstīgums
BigQuant

This research summary tests stock-selection signals derived from candlestick upper and lower shadows, then compares them with shadow measures based on the Williams indicator. The reported results distinguish the two approaches: candlestick upper-shadow…

Ķīnas tirgiAkcijasTehniskie indikatoriFaktoru ieguldīšana
BigQuant

The document introduces the standard form of an equity multi-factor model: stock returns are represented as a linear combination of factor returns, plus a residual component that the factors do not explain. It also notes that a portfolio’s return can be…

AkcijasFaktoru ieguldīšanaPortfeļa veidošanaStatistika
BigQuant

This note describes ways to reduce memory use and speed up parameter tuning for an ETF rotation strategy. It recommends moving suitable calculations into SQL, loading only needed data, reusing cached data, releasing large objects, precomputing values during…

Vēsturisko datu pārbaudePortfeļa veidošanaRīkojumu izpilde
BigQuant

This brief event description presents a practical application of large language models to automated trading. Its central idea is a digital trader that interprets natural-language instructions and connects them to trade execution, with examples intended to…

MašīnmācīšanāsRīkojumu izpilde
BigQuant

This study examines equity factors built from changes in analyst forecasts and tests how forecast stability affects their relationship with next-month stock returns. It reports that revision factors are positively associated with subsequent returns, but…

AkcijasFaktoru ieguldīšanaStatistikaVēsturisko datu pārbaude
BigQuant

This brief discussion outlines a short-term approach centered on stocks that open sharply higher. It argues that a gap-up can indicate strength, but says the opening move should be evaluated alongside additional signals, including buying pressure, relative…

AkcijasCenas impulssCenas izrāviensRīkojumu izpilde
BigQuant

The document explains how factor-based Smart Beta products can serve investors seeking diversified equity exposure and can act as underlying holdings in fund-of-funds portfolios. It describes the approach as using passive strategies that increase exposure to…

Faktoru ieguldīšanaPortfeļa veidošanaAkcijasĶīnas tirgi
BigQuant

This Chinese-language account describes a learning project that builds a China stock selection strategy with five ranked factors and a two-day forward price label. It trains a Ridge regression model, standardizes the inputs, and periodically retrains before…

MašīnmācīšanāsAkcijasFaktoru ieguldīšanaVēsturisko datu pārbaude
BigQuant

This short platform discussion addresses why a strategy may appear to buy and sell on the same day despite China’s T+1 stock-trading convention. The suggested code adjustment is to make the sell conditions refer to currently held instruments rather than the…

Ķīnas tirgiAkcijasRīkojumu izpildeVēsturisko datu pārbaude