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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
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
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 study treats a convertible bond as combining straight-bond value and embedded equity-option value, and examines how bond returns relate to the underlying stock. It reports positive return correlation across conversion-status groups, with average…

Fiksēta ienākuma instrumentiOpcijasFaktoru ieguldīšanaPortfeļa veidošana
BigQuant

The document describes a stock-selection research task: detect a recent unusual move, then retrieve that event day’s opening price for use in a later buy condition. The example defines an event as trading volume more than twice the previous comparison value…

AkcijasUz notikumiem balstīta tirdzniecībaVēsturisko datu pārbaude
BigQuant

The document introduces the Key Reversal technical indicator and names its inputs: closing, high, and low prices, along with lookback lengths and a day parameter. Its pseudocode defines a lower band from the lowest low over a selected window and an upper…

Tehniskie indikatoriCenas izrāviens
BigQuant

The document gives a brief overview of artificial intelligence, from the field’s origins to its wider adoption as data, computing hardware, and algorithms advanced. It describes AI as systems that model aspects of human reasoning and notes its use in…

MašīnmācīšanāsTirgus noskaņojumsPortfeļa veidošana
BigQuant

The article outlines a workflow for reconstructing and simulating a Chinese public fund’s equity holdings. It scrapes disclosed stock codes and portfolio weights for a China Merchants CSI 300 enhanced index fund, then assumes quarterly rebalancing: the…

Ķīnas tirgiAkcijasMašīnmācīšanāsVēsturisko datu pārbaude
BigQuant

The research note introduces APB, a stock factor intended to estimate buying and selling pressure from the relationship between price and volume. It defines the measure as the logarithm of the ratio between an equally weighted average price and a…

AkcijasĶīnas tirgiFaktoru ieguldīšanaStatistika
BigQuant

This report summary compares two ways to classify the investment style of equity funds for fund-of-funds research. Holdings-based analysis infers style from reported portfolio positions, while returns-based analysis infers it from portfolio performance.…

AkcijasPortfeļa veidošanaStatistika
BigQuant

This brief BigQuant forum answer addresses how to inspect the holding date for a particular stock position during a backtest. It points to retrieving the position from the backtest context by instrument and reading the position’s last sale date. That date…

AkcijasVēsturisko datu pārbaude
BigQuant

The document summarizes research on stock resiliency, labeled RES, as an expanded measure of liquidity. The cited study examines whether stocks with greater illiquidity earn a return premium, using resiliency as an additional measure alongside conventional…

AkcijasTirgus mikrostruktūraStatistikaFaktoru ieguldīšana
BigQuant

This daily futures strategy uses Bollinger Bands to signal directional trades when the close reaches or crosses an outer band. The middle band is an N-period simple moving average of closing prices, with upper and lower bands set by adding or subtracting K…

Nākotnes līgumiCenas izrāviensTehniskie indikatoriVēsturisko datu pārbaude
BigQuant

The note explains why a stock’s closing price shown on a quantitative trading platform can differ substantially from the price shown by a brokerage or market-data app. The platform adjusts historical price data to account for corporate actions, so the…

AkcijasĶīnas tirgi
BigQuant

This empirical study adapts the Fama–French five-factor framework to China’s A-share equities. It constructs market, size, book-to-market, profitability, and investment factors from monthly stock data, then forms size-sorted portfolios crossed with…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaStatistika
BigQuant

This discussion addresses a strategy that runs successfully in backtesting but fails during a simulated live trial. A suggested cause is a missing-data processing step that removes every row because one or more columns contain empty values. The proposed…

Vēsturisko datu pārbaudeStatistika
BigQuant

This literature note summarizes research on whether individual investors favor mutual funds that have recently produced unusually large positive returns. The study defines a fund-level MAX measure of extreme gains and reports that funds with higher MAX…

Tirgus noskaņojumsStatistika
BigQuant

This MetaTrader 5 expert advisor is designed to manage account equity and individual open trades, then place a grid of pending orders when price reaches a user-specified level. The trader must decide in advance where a grid would be appropriate; the EA does…

Valūtu tirgusRežģa tirdzniecībaRīkojumu izpildeRiska pārvaldība
BigQuant

This research summary adapts Joel Greenblatt’s value-and-quality stock-ranking idea to China’s A-share market. It uses EV/EBITDA as a valuation measure and ROIC as a business-quality measure in place of the original formula’s measures. The described screen…

AkcijasĶīnas tirgiFaktoru ieguldīšanaVēsturisko datu pārbaude
BigQuant

This report outlines a framework for studying rotation among five Chinese equity style pairs: large and small cap, value and growth, consumption and cyclical, financial and nonfinancial, and technology and traditional industries. It describes building…

AkcijasFaktoru ieguldīšanaĶīnas tirgiStatistika
BigQuant

This report summary describes three methods for rotating among equity industries using macroeconomic information. The first models industry excess returns from cyclical components of leading indicators spanning growth, inflation, trade, and liquidity. The…

AkcijasĶīnas tirgiFaktoru ieguldīšanaPortfeļa veidošana
BigQuant

This research review examines whether sell-side analyst output matters more during economic downturns, when uncertainty makes company valuation harder for both analysts and investors. Drawing on earnings forecasts and stock recommendations over several…

AkcijasStatistikaUz notikumiem balstīta tirdzniecība
BigQuant

This study examines holdings reported by institutions using the Stock Connect channels into mainland China, comparing static position and daily increase factors. It reports that Morgan Stanley Hong Kong Securities had stronger historical information…

AkcijasĶīnas tirgiFaktoru ieguldīšanaCenas impulss
BigQuant

The document compares Rust with C++, Java, Python, and Go for quantitative trading systems. It presents Rust as a way to reduce certain programming errors and support production debugging, while claiming that it offers performance close to C++, can use less…

Augstas frekvences tirdzniecībaRīkojumu izpildeRiska pārvaldība
BigQuant

The report proposes left- and right-tail conditional value-at-risk factors from intraday stock returns. For each stock, it describes measuring the average returns beyond the lower and upper 5% quantiles, then averaging daily values across a 20-trading-day…

AkcijasSvārstīgumsRiska pārvaldībaFaktoru ieguldīšana
BigQuant

This article argues that a sharp bullish candle during a decline should be judged by the likely position and cost basis of the buyers behind it, rather than by candle size alone. It proposes a “3D” screen for small, low-float, low-priced stocks after a…

AkcijasTehniskie indikatoriCenas izrāviensTirgus mikrostruktūra
BigQuant

This article proposes reading a stock’s volume ratio together with its turnover rate to assess changes in trading activity. It assigns interpretations to several combinations: turnover above 5% with a volume ratio of 2–3 as an early activity signal; turnover…

AkcijasTehniskie indikatoriCenas impulssTirgus mikrostruktūra