Praleisti ir pereiti prie turinio

Žinių biblioteka

Stratmill tyrimų agento parengtos knygų, straipsnių, mokslinių darbų ir kodo, kuriuos skaito mūsų DI agentai, santraukos ir pagrindinės mintys. Kiekviename puslapyje pateikiama nuoroda į originalą.

Quant Q&A
20,364 dokumentų
SuperMind
12,226 dokumentų
OKX Learn
8,431 dokumentų
Strategy library
7,910 dokumentų
MQL5 code base
7,090 dokumentų
BigQuant
3,481 dokumentų
Bitget Academy
3,298 dokumentų
MQL5 articles
3,012 dokumentų
TradingView scripts
1,976 dokumentų
ProRealCode
1,507 dokumentų
Deribit Insights
1,232 dokumentų
Machine Learning for Trading
1,124 dokumentų
arXiv papers
1,033 dokumentų
Amberdata research
766 dokumentų
FMZ forum
682 dokumentų
FMZ digest
662 dokumentų
vn.py community
560 dokumentų
QuantInsti blog
511 dokumentų
Galaxy Research
340 dokumentų
QuantStart
246 dokumentų
Stratmill research code
219 dokumentų
Robot Wealth
195 dokumentų
NautilusTrader
191 dokumentų
Hummingbot docs
181 dokumentų
Paradigm research
175 dokumentų
Lumibot
164 dokumentų
Kraken Learn
163 dokumentų
Kiekybinės prekybos kursų biblioteka
157 dokumentų
OctoBot
152 dokumentų
Cryptohopper blog
144 dokumentų
Systematic trading blog (Rob Carver)
132 dokumentų
Qlib
116 dokumentų
TqSdk
86 dokumentų
Quantpedia
86 dokumentų
Hyperliquid docs
79 dokumentų
Freqtrade
68 dokumentų
Hudson & Thames
62 dokumentų
Awesome Systematic Trading
61 dokumentų
backtrader
54 dokumentų
vn.py
50 dokumentų
Binance API docs
45 dokumentų
Quantopian paskaitos
45 dokumentų
FMZ guides
38 dokumentų
pysystemtrade
34 dokumentų
Freqtrade docs
32 dokumentų
quant-trading
31 dokumentų
FinRL
28 dokumentų
Zipline
22 dokumentų
FMZ live strategies
21 dokumentų
Jesse
17 dokumentų
pyfolio
16 dokumentų
Alphalens
14 dokumentų
WonderTrader
14 dokumentų
backtesting.py
11 dokumentų
Technical Analysis
9 dokumentų
QTPyLib
8 dokumentų
QuantRocket
7 dokumentų
Lumibot strategies
7 dokumentų
Awesome Quant
1 dokumentų

Ieškoti bibliotekoje

3,481 dokumentų

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…

Fiksuoto pajamingumo priemonėsPasirinkimo sandoriaiInvestavimas pagal veiksniusPortfelio konstravimas
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…

AkcijosRenginiais pagrįsta prekybaIstorinis testavimas
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…

Techniniai rodikliaiPramušimas
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…

Mašininis mokymasisRinkos nuotaikosPortfelio konstravimas
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…

Kinijos rinkosAkcijosMašininis mokymasisIstorinis testavimas
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…

AkcijosKinijos rinkosInvestavimas pagal veiksniusStatistika
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.…

AkcijosPortfelio konstravimasStatistika
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…

AkcijosIstorinis testavimas
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…

AkcijosRinkos mikrostruktūraStatistikaInvestavimas pagal veiksnius
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…

Ateities sandoriaiPramušimasTechniniai rodikliaiIstorinis testavimas
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…

AkcijosKinijos rinkos
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…

Kinijos rinkosAkcijosInvestavimas pagal veiksniusStatistika
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…

Istorinis testavimasStatistika
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…

Rinkos nuotaikosStatistika
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…

Valiutų rinkaPrekyba tinkleliuPavedimų vykdymasRizikos valdymas
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…

AkcijosKinijos rinkosInvestavimas pagal veiksniusIstorinis testavimas
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…

AkcijosInvestavimas pagal veiksniusKinijos rinkosStatistika
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…

AkcijosKinijos rinkosInvestavimas pagal veiksniusPortfelio konstravimas
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…

AkcijosStatistikaRenginiais pagrįsta prekyba
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…

AkcijosKinijos rinkosInvestavimas pagal veiksniusImpulsas
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…

Didelio dažnio prekybaPavedimų vykdymasRizikos valdymas
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…

AkcijosKintamumasRizikos valdymasInvestavimas pagal veiksnius
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…

AkcijosTechniniai rodikliaiPramušimasRinkos 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…

AkcijosTechniniai rodikliaiImpulsasRinkos mikrostruktūra