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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
Quantpedia
86 documente
TqSdk
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
Prelegeri Quantopian
45 documente
Binance API docs
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

The document describes a seasonal earnings anomaly: companies may have predictable high- and low-profit quarters, yet announcements of peak or trough earnings can still surprise investors and produce abnormal stock returns. It attributes the mispricing…

AcțiuniBazat pe evenimenteTestare istorică
BigQuant

The article introduces the Fama-French five-factor model as an extension of the three-factor framework. It describes market, size, book-to-market, profitability, and investment factors, and explains that multiple regression estimates a stock’s exposure to…

AcțiuniInvestiții bazate pe factoriStatisticăRevenire la medie
BigQuant

These course notes discuss practical ways to follow a stock strategy built around pullbacks after strong stocks hit their price limits and later rebound with market sentiment. They caution that entering after a strategy has recently risen can mean buying…

AcțiuniMomentumGestionarea risculuiConstruirea portofoliului
BigQuant

This note presents a relative strength index calculation based on closing-price changes. It separates each change into its positive component and its absolute magnitude, then applies a smoothed moving average to each series. The ratio is transformed onto a…

Indicatori tehniciMomentumStatistică
BigQuant

The document reviews quality investing as a composite of company characteristics, including profitability, growth, stability, capital structure, accounting quality, and investment. It compares reported findings for U.S. equities with cross-sectional results…

AcțiuniInvestiții bazate pe factoriPiețele din ChinaStatistică
BigQuant

The document describes a style allocation approach that uses an illiquidity measure, called ILLIQ, to represent how much information is associated with each unit of trading value. It divides the stock universe into safer and riskier groups, then infers…

AcțiuniInvestiții bazate pe factoriMomentumGestionarea riscului
BigQuant

The document surveys data used to build quantitative investment strategies and support trading and risk decisions. It groups inputs into market prices, volumes and trades; company financials and valuation; macroeconomic indicators and policy; technical…

Active din mai multe claseStatisticăGestionarea riscului
BigQuant

This short forum exchange asks how to count trading days since a condition last became true. Its example starts counting on the session after the trigger: if the condition occurs on one date, the next trading day returns one and the following session returns…

AcțiuniStatisticăIndicatori tehnici
BigQuant

The document summarizes research on whether informed investors use industry ETFs to hedge long positions in stocks with favorable company-specific information. It describes a paired measure combining hedge funds’ unusually large stock holdings with an…

AcțiuniPiețele din SUABazat pe evenimenteArbitraj
BigQuant

This practice report compares a DeepAlpha deep neural network with LightGBM in a daily A-share stock-selection strategy. Both models use the same 32 short-term price and volume factors and five-year training sample. The portfolio buys the ten highest-ranked…

Piețele din ChinaAcțiuniÎnvățare automatăInvestiții bazate pe factori
BigQuant

The document describes an intraday trend strategy for Chinese equity index futures, based on a reported persistent opening momentum effect. It defines a bullish sequence as rising opening, low, and closing prices across bars, and a bearish sequence as…

Contracte futuresPiețele din ChinaMomentumUrmărirea tendinței
BigQuant

This article proposes changing position sizes and take-profit distances in a grid strategy to recover from underwater positions sooner. Instead of a fixed base position, it describes increasing additions in stages as price falls: one unit per grid initially,…

Tranzacționare în grilăDimensionarea pozițiilorGestionarea risculuiRevenire la medie
BigQuant

This research overview examines the development and current state of China’s pension arrangements, alongside the management of pension assets. It organizes retirement provision into three pillars: basic public pensions, occupational plans such as enterprise…

Piețele din ChinaConstruirea portofoliuluiGestionarea riscului
BigQuant

The discussion explains why a small-cap daily strategy may signal a full exit on one day and then recommend buying the same stocks in a new task the next day. The response attributes this to daily portfolio recalculation: if the selection changes from one…

AcțiuniExecuțieConstruirea portofoliului
BigQuant

This Chinese-language article describes a workflow for turning intraday trading data into daily stock-selection factors and using those factors in analysis and strategy development. Its example is a large-order-driven price-rise factor, alongside other…

AcțiuniTranzacționare de înaltă frecvențăInvestiții bazate pe factoriTestare istorică
BigQuant

This research summary argues that conventional momentum is a weak alpha signal in the Chinese stock market and proposes rebuilding it from intraday returns. The approach divides each trading day’s price change into five time segments, then recombines the…

AcțiuniPiețele din ChinaMomentumInvestiții bazate pe factori
BigQuant

This research summary outlines a monthly tactical framework for rotating among Chinese A-share industries. It combines two approaches: time-series timing based on industry classification, business-cycle indicators, fundamental forecasts, valuation…

AcțiuniPiețele din ChinaMomentumVolatilitate
BigQuant

This Chinese-language research note analyzes recent trading value as a liquidity factor for stock selection. It describes changing the evaluation horizon to five-day returns, excluding stocks at their daily upper price limit to reflect execution difficulty…

AcțiuniPiețele din ChinaInvestiții bazate pe factoriStatistică
BigQuant

The Traders Dynamic Index combines a smoothed RSI line, a signal line, a market base line, and volatility bands. Its configurable settings include RSI and smoothing periods, applied price, band period, overbought and oversold thresholds, and display toggles.…

Indicatori tehniciMomentumVolatilitate
BigQuant

This discussion answers how to calculate indicators with chosen parameters in BigQuant. It points users to DAI SQL’s technical analysis operators, which use TA-Lib, and illustrates the approach with a moving average applied to an open-price series. A SQL…

Indicatori tehniciAcțiuni
BigQuant

This report introduction frames research into how factor and stock weights affect style exposure in multi-factor equity portfolios. It focuses on reducing unintended market-cap, industry, and other style biases, which the authors associate with past setbacks…

AcțiuniInvestiții bazate pe factoriStatisticăTestare istorică
BigQuant

The document introduces the Williams Overbought/Oversold Index, commonly called Williams %R, as a technical indicator calculated from closing price and the recent high-low range. Its formula compares the close with the highest high over a lookback period,…

Indicatori tehniciAcțiuni
BigQuant

The document discusses the growth of electronic trading and presents algorithmic execution as a tool for handling large orders in volatile markets. Its core methods include splitting a parent order into smaller trades, aligning execution with market-volume…

ExecuțieMicrostructura piețeiÎnvățare automatăGestionarea riscului
BigQuant

This example describes a high-dividend stock selection model for the Chinese equity market. It first excludes special-treatment stocks, suspended stocks, and Beijing Stock Exchange listings. Within the remaining universe, it selects the 300 largest companies…

Piețele din ChinaAcțiuniInvestiții bazate pe factoriTestare istorică