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Biblioteca de cunoștințe

Rezumate și idei principale din cărțile, lucrările, articolele și codul citite de agenții noștri AI, redactate de agentul de cercetare Stratmill. Fiecare pagină trimite la sursa originală.

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

Caută în bibliotecă

3,481 documente

BigQuant

This article introduces Algorand as a smart-contract blockchain and explains its pure proof-of-stake consensus. Block creation uses a proposer-selection stage followed by a vote from randomly selected token holders; the article argues that stake-weighted…

CriptoDeFiMicrostructura pieței
BigQuant

This platform discussion explains why a simulated strategy’s trade detail may not show during the trading session whether a stock was actually purchased. The platform updates market data after the close and then calculates that day’s simulated results before…

AcțiuniExecuțieTestare istoricăMicrostructura pieței
BigQuant

This article presents a discretionary trading framework for Chinese equities, organized around risk control, opportunity selection, and execution. Its defensive principles include cutting positions when the trade thesis fails, diversifying exposure, avoiding…

AcțiuniPiețele din ChinaGestionarea risculuiUrmărirea tendinței
BigQuant

The report outlines a framework for estimating forward dividend yield by combining expected payout behavior and expected net income with the stock’s current market value. It groups cash dividend policies into fixed-per-share payouts and payouts tied to…

AcțiuniInvestiții bazate pe factoriConstruirea portofoliuluiTestare istorică
BigQuant

The report summarizes research on whether the asymmetry of stock returns predicts expected returns, a relationship for which prior findings have conflicted. It presents two distribution-based measures beyond conventional skewness: the difference between the…

AcțiuniStatisticăInvestiții bazate pe factori
BigQuant

This 2018 analysis assesses a sharp decline in Chinese equities and treats the U.S. market as the main near-term risk trigger. It proposes two possible U.S. paths: continued weakness without a meaningful rebound, or stabilization followed by months of…

AcțiuniPiețele din ChinaPiețele din SUAInvestiții bazate pe factori
BigQuant

This review examines whether market, macroeconomic, sentiment, valuation-spread, and momentum signals can forecast equity factor returns. It explains why factor premia can vary as risk compensation, investor behavior, and market frictions change. The…

Investiții bazate pe factoriMomentumSentimentTestare istorică
BigQuant

This reference introduces NumPy as a Python library for array-based numerical work and explains why it is useful for handling financial data. It describes multidimensional arrays, broadcasting, optimized computation, linear algebra, and random number…

Statistică
BigQuant

Despite a page title referring to Ease of Movement, the supplied indicator section describes the Directional Movement Index, or DMI. It identifies high, low, and close prices as inputs, along with a lag parameter, and presents pseudocode for its main…

Indicatori tehniciUrmărirea tendinței
BigQuant

This document summarizes a research report on estimating the duration of public bond funds. It describes two approaches that use information from different reporting streams: portfolio holdings disclosed in quarterly fund reports and fund net asset values…

Instrumente cu venit fixStatistică
BigQuant

This compilation summarizes CITIC Securities’ 2022 outlook for Chinese equities, the economy, overseas-listed Chinese firms, U.S. stocks, innovation-focused small companies, financial sectors, and electric vehicles. Its A-share thesis divides the year into a…

AcțiuniPiețele din ChinaPiețele din SUA
BigQuant

The document summarizes research on forecasting the correlation between stock and bond returns, a quantity used in portfolio construction, hedging, and risk assessment. It argues that simply extrapolating historical monthly correlations can be unreliable…

Active din mai multe claseAcțiuniInstrumente cu venit fixStatistică
BigQuant

This report summary describes the risk-prediction component of a multi-factor investment framework. It outlines adjustments to factor covariance estimates, including Newey–West autocorrelation correction, eigenvalue adjustment, and volatility-bias…

Investiții bazate pe factoriGestionarea risculuiVolatilitateConstruirea portofoliului
BigQuant

The report presents DFQ-2018, a structured risk model for Chinese A-shares. It combines industry and style factors to identify exposures, estimate stock-return covariance, and support portfolio performance analysis. Among its design choices, it uses a…

AcțiuniPiețele din ChinaInvestiții bazate pe factoriGestionarea riscului
BigQuant

The report describes two steps for improving an equity alpha model: remove factors that duplicate information, then optimize the remaining signals while accounting for their correlations. It uses Fama–MacBeth regressions to screen factors and reports…

AcțiuniInvestiții bazate pe factoriStatisticăConstruirea portofoliului
BigQuant

This document explains how to build an expected dividend yield factor for equity selection. Traditional measures use recent annual or trailing cash dividends, but they can jump when dividends leave the trailing window and may not reflect future payouts. The…

AcțiuniInvestiții bazate pe factoriPiețele din ChinaTestare istorică
BigQuant

This report summary examines how to select timing variables and forecast equity factor returns within a multi-factor strategy. It proposes Lasso and Elastic Net regression for screening predictors and estimating factor returns. It also describes extensions…

AcțiuniInvestiții bazate pe factoriÎnvățare automatăConstruirea portofoliului
BigQuant

This legacy platform tutorial outlines a workflow for predicting stock direction with a hybrid convolutional and recurrent neural network. It labels each observation according to whether the following ten-day return is positive or negative, builds rolling…

AcțiuniÎnvățare automatăTestare istorică
BigQuant

This study evaluates analyst-consensus valuation and earnings factors for stock selection across the Chinese equity market and its industries. It compares factor information coverage and effectiveness, using information coefficients to assess the…

AcțiuniInvestiții bazate pe factoriStatisticăPiețele din China
BigQuant

This Chinese-language guide compares three configurations for a trading bot called “Wind Following”: a classic two-sided mode, a custom-multiple long-only mode, and a fast-entry, fast-exit long-only mode. It gives suggested account sizes, per-coin…

CriptoTranzacționare în grilăDimensionarea pozițiilorGestionarea riscului
BigQuant

This report describes a Chinese equity selection factor called CPV, built from the relationship between intraday prices and trading volume. It combines three characteristics of daily price-volume correlation: its average level, variability, and trend. The…

Piețele din ChinaAcțiuniInvestiții bazate pe factoriStatistică
BigQuant

This Chinese market-timing report assesses the broad A-share market as still being in a longer-term decline despite a recent rebound. It combines distance from a moving average and a measure of market-wide profit-making breadth to classify the trend, then…

Piețele din ChinaAcțiuniUrmărirea tendințeiDimensionarea pozițiilor
BigQuant

The article compares several foreign exchange data API providers and describes iTick’s advertised features, including free low-frequency access, coverage of currency pairs and indexes, real-time quotes, and technical support. It explains how developers might…

ForexExecuțieMicrostructura pieței
BigQuant

This report develops Chinese equity money-flow signals using tick data to reconstruct order sizes. It argues that conventional fixed cutoffs miss meaningful institutional activity, tests 44 absolute amount thresholds, and finds that lower cutoffs can better…

Piețele din ChinaAcțiuniInvestiții bazate pe factoriMicrostructura pieței