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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

The document explains how to refer to the prior day’s K and D values from a KDJ indicator in a factor expression. It recommends applying a one-period shift to the desired indicator series. The example uses the K series, and the same approach applies to the D…

Indicatori tehnici
BigQuant

This Chinese equity strategy seeks stocks that open at the daily upper price limit and remain there, using a platform field to identify the condition. It first excludes special-treatment stocks, suspended stocks, and Beijing Stock Exchange listings, then…

AcțiuniMomentumPiețele din ChinaDimensionarea pozițiilor
BigQuant

This meetup outline raises questions about constructing sector or industry factors, measuring correlations among industries, and choosing industry classifications that reflect granularity and supply-chain relationships. It identifies these as topics for…

Piețele din ChinaAcțiuniInvestiții bazate pe factoriExecuție
BigQuant

This report explains the risk-prediction component of a multi-factor investment framework. It describes estimating a structured risk matrix from factor covariance and specific-risk components, with adjustments intended to improve consistency and accuracy.…

AcțiuniInvestiții bazate pe factoriVolatilitateGestionarea riscului
BigQuant

This short assignment outlines a basic path from investment experience to systematic strategy development. The author mentions buy-and-hold contributions to gold and Nasdaq exposure, stock subscriptions, and stock selection informed by company fundamentals,…

AcțiuniMărfuriIndicatori tehniciTestare istorică
BigQuant

This article presents four ways traders may interpret unusually high trading volume in stocks. After a prolonged decline, a volume spike is framed as a possible sign of selling exhaustion and accumulation. Heavy volume after an extended rise is treated as a…

AcțiuniIndicatori tehniciStrăpungereGestionarea riscului
BigQuant

This report introduces quantitative funds in China and distinguishes three operating models. Active quantitative funds use models to select stocks in search of returns above a benchmark. Index-enhanced funds combine index exposure with model-based stock…

Piețele din ChinaAcțiuniInvestiții bazate pe factoriConstruirea portofoliului
BigQuant

This research constructs a stock-selection factor from the short-term correlation between trading volume and price movement. It uses that relationship to distinguish stocks whose volume and price move together from those that diverge, then ranks stocks for a…

AcțiuniInvestiții bazate pe factoriStatisticăTestare istorică
BigQuant

This research summary describes a corporate-governance factor for Chinese equities, built from 58 measures across board structure, ownership and shareholders, financial governance, compensation and incentives, governance conduct, and external oversight. It…

AcțiuniPiețele din ChinaInvestiții bazate pe factoriConstruirea portofoliului
BigQuant

This research summary measures listed companies’ earnings quality by the relative size of accruals in reported profits, then tests accruals as a stock selection factor in China’s A-share market. Its regression findings describe operating profit as…

Piețele din ChinaAcțiuniInvestiții bazate pe factoriStatistică
BigQuant

The document challenges the claim that US rules define high-frequency trading by a fixed limit of 15 orders per second, contrasting that claim with a behavior-based way of identifying high-frequency activity. It lists characteristics such as automated order…

Tranzacționare de înaltă frecvențăMicrostructura piețeiExecuțiePiețele din SUA
BigQuant

This brief platform discussion asks how to inspect the output of an intermediate neural-network layer in a visual workflow. One reply recommends adding and running a notebook cell after execution, inspecting the layer object’s properties, and reading its…

Învățare automată
BigQuant

This brief troubleshooting note addresses a Python AttributeError raised when a strategy tries to access a last-sale-date attribute on a Zipline equity object. The suggested correction is to build the holdings mapping from each position’s equity symbol and…

Acțiuni
BigQuant

This account develops an equity-selection process that compares equal-weighted factor rankings with weights that adapt to each factor’s recent Rank IC information ratio. It describes screening a large factor pool for missing data, outliers, redundancy,…

Piețele din ChinaAcțiuniInvestiții bazate pe factoriStatistică
BigQuant

The document describes five visual clues that it associates with concentrated control of a stock’s float: prices rising on declining volume, orderly pullbacks that hold support, brief intraday volume spikes, stair-step advances with bounded consolidations,…

AcțiuniIndicatori tehniciMomentumStrăpungere
BigQuant

The document describes four chart patterns that it interprets as possible consolidation after a stock reaches its daily limit-up price: a three-candle sequence with long upper and lower shadows, a sideways stretch of small bullish candles or dojis above the…

AcțiuniIndicatori tehniciStrăpungereMomentum
BigQuant

This Chinese equities research reproduction develops a cross-sectional factor from minute-level volume surges. A surge is defined when the minute-to-minute volume increase exceeds that stock’s daily average increase by one standard deviation. For each surge,…

AcțiuniInvestiții bazate pe factoriTranzacționare de înaltă frecvențăStatistică
BigQuant

This document summarizes a research report on recurring changes in traditional equity factor performance, including value, momentum, low volatility, and quality. Its central idea is to identify factor regimes from the factors’ own return histories, since the…

AcțiuniInvestiții bazate pe factoriMomentumVolatilitate
BigQuant

This brief indicator note introduces Chaikin Money Flow (CMF) and gives its calculation from high, low, close, and volume data over a lookback window. For each bar, it weights volume according to where the close falls within that bar’s high-low range: closes…

Indicatori tehniciStatistică
BigQuant

This research summary reviews the US retirement system through three pillars: federal retirement benefits, employer-sponsored pension plans, and individual retirement accounts. It compares their contribution or collection arrangements, asset management, and…

Active din mai multe claseConstruirea portofoliuluiAcțiuni
BigQuant

This Chinese-language research summary reviews interim earnings forecasts for ChiNext, a Chinese growth-stock board. It reports that 703 listed companies had published forecasts and evaluates profit growth using free-float market-cap weighting. The analysis…

AcțiuniPiețele din ChinaStatisticăInvestiții bazate pe factori
BigQuant

This study proposes a monthly stock-selection factor based on how prices respond when individual stocks experience unusually large intraday increases in trading volume. It identifies spikes by comparing each minute’s volume increase with that stock’s daily…

AcțiuniInvestiții bazate pe factoriIndicatori tehniciTestare istorică
BigQuant

A BigQuant user reports an error stating that an expression argument was expected to be a string but instead was null. The reported fix is to enable the position formula option in the position allocation module. This identifies a configuration setting that…

ExecuțieDimensionarea pozițiilor
BigQuant

The report studies momentum-based rotation among 15 E Fund industry, theme, and selected broad-market ETFs. It compares 20-, 60-, and 120-day return momentum measures, using information coefficient and ranked portfolio tests over a historical Chinese market…

Piețele din ChinaActive din mai multe claseMomentumConstruirea portofoliului