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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
WonderTrader
14 documente
Alphalens
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 outlines a way to run multiple parameterized tasks in BigQuant, a low-code platform where a visual workflow is represented as a graph of modules. A parallel mapping function can dispatch different inputs to a function, and the same pattern can…

Învățare automatăTestare istorică
BigQuant

The document describes deploying the small Kronos pretrained model on a quantitative research platform to forecast five-minute candlestick data for stocks. Kronos represents OHLCV sequences as hierarchical discrete tokens using a specialized tokenizer, then…

Învățare automatăAcțiuniTestare istoricăPiețele din China
BigQuant

This research summary compares Naive Bayes, linear discriminant analysis (LDA), and quadratic discriminant analysis (QDA) as supervised methods for multi-factor stock selection. The described process extracts and preprocesses features and labels, retrains…

AcțiuniÎnvățare automatăInvestiții bazate pe factoriTestare istorică
BigQuant

The document proposes separating sector allocation from industry selection because broad sector shifts are linked more closely to economic conditions, while industry performance depends on factors such as earnings, valuation, and capital flows. It argues…

Piețele din ChinaAcțiuniInvestiții bazate pe factoriConstruirea portofoliului
BigQuant

This paper-reading digest summarizes several computer vision methods: InstanceFCN for generating object instance masks from position-sensitive score maps; a two-stream residual network that combines full-resolution detail with pooled features for…

Învățare automatăStatistică
BigQuant

This article explains Bollinger Bands as a moving average surrounded by upper and lower bands set a chosen number of standard deviations away. It walks through a small closing-price example and gives a second illustrative calculation using a 20-period…

Indicatori tehniciVolatilitateRevenire la medieUrmărirea tendinței
BigQuant

The document summarizes research using public Northbound investor holdings and trading-flow data to build 12 factors for Chinese equities. It reports testing those factors from December 2016 through December 2019 across Northbound-held stocks, the CSI 800,…

AcțiuniPiețele din ChinaInvestiții bazate pe factoriStatistică
BigQuant

This research summary argues that bond fund rankings based on a single historical performance measure can be distorted by differences in market style, objectives, holdings, manager skill, fund size, and risk controls. Its proposed approach narrows the…

Instrumente cu venit fixStatisticăInvestiții bazate pe factoriConstruirea portofoliului
BigQuant

This proposed Chinese equity screen combines three conditions: price amplitude above a stated threshold, a shortening negative MACD histogram on a 15-minute chart, and evidence interpreted as institutional buying. The rationale is that elevated amplitude…

Piețele din ChinaAcțiuniIndicatori tehniciMomentum
BigQuant

This note argues that quantitative strategy results depend on the combination of input factors and predictive models. It says that different factors can produce substantially different backtests when paired with the same model, and that a given factor can…

Investiții bazate pe factoriÎnvățare automatăTestare istorică
BigQuant

This study examines whether U.S. equity mutual fund managers adjust market exposure when broad stock mispricing changes. It builds a market mispricing measure from a financing-based long-short factor, then orthogonalizes it against macroeconomic variables. A…

AcțiuniInvestiții bazate pe factoriStatisticăTestare istorică
BigQuant

This factor study examines whether the share of a stock’s trading volume occurring in the opening call auction contains information useful for equity selection. It builds an opening call-auction volume proportion factor from relative volume and moving…

AcțiuniTranzacționare de înaltă frecvențăMicrostructura piețeiInvestiții bazate pe factori
BigQuant

This research summary describes a model for estimating whether a company will meet or exceed analyst expectations in its next reporting period. Its premise is that earnings delivery has persistence: stocks that beat expectations in one period are more likely…

AcțiuniÎnvățare automatăStatisticăInvestiții bazate pe factori
BigQuant

The report applies a modified Grinold-style decomposition to attribute equity index returns to dividend yield, nominal earnings growth, and changes in the price-to-earnings multiple. It compares major Chinese broad-market indexes and selected industry…

AcțiuniPiețele din ChinaPiețele din SUAInvestiții bazate pe factori
BigQuant

This overview explains Dow Theory through three trend scales: primary movements that define the broad market direction, secondary moves that correct the primary trend, and shorter daily fluctuations. It also summarizes six principles later writers attributed…

Urmărirea tendințeiIndicatori tehniciMicrostructura pieței
BigQuant

This brief Chinese-language post describes a stock-selection submission that adds price-to-sales and dividend-yield filters, then increases the weight assigned to dividend yield. The author says the results improved, but provides no performance figures, test…

AcțiuniInvestiții bazate pe factoriConstruirea portofoliului
BigQuant

The document outlines a China equity industry-rotation strategy using the Shenwan Level 1 industry classification. It ranks industries with a composite momentum measure formed from recent 5-day, 20-day, and 60-day returns, weighted 0.4, 0.3, and 0.3. Each…

Piețele din ChinaAcțiuniMomentumInvestiții bazate pe factori
BigQuant

The document raises a measurement question about Rank IC, a rank-based measure of association between model predictions and subsequent returns. The author reports that Rank IC computed on a custom training set differs substantially from the value produced by…

StatisticăÎnvățare automatăTestare istorică
BigQuant

This research report explains how equity risk factors and factor models can help identify portfolio risks, estimate return covariances, and analyze portfolio performance. It distinguishes risk factors from alpha factors and discusses factor returns,…

Piețele din ChinaAcțiuniGestionarea risculuiConstruirea portofoliului
BigQuant

This report outlines a framework for researching quantitative commodity signals in iron ore. It groups inputs into fundamental factors covering supply, demand, and inventories, plus a separate sentiment category. Because fundamental data updates less…

MărfuriInvestiții bazate pe factoriSentimentMomentum
BigQuant

This research summary examines generalized linear models as ways to combine stock factor exposures into forecasts of future returns. Its workflow includes extracting features and labels, preprocessing features, forming training sets, and retraining on a…

Piețele din ChinaAcțiuniÎnvățare automatăInvestiții bazate pe factori
BigQuant

This discussion explores representing Chinese stocks that hit the daily price limit as members of a shared hot theme, then counting limit-up names within each theme. The example is state-owned enterprise reform, where stocks from different industry sectors…

AcțiuniPiețele din ChinaMomentumInvestiții bazate pe factori
BigQuant

This summary of a 2018 A-share report reviews quantitative fund products, equity factor styles, and institutional responses to a difficult market structure. It says index-enhanced fund assets rose by 55.31 billion while hedged and actively managed…

AcțiuniPiețele din ChinaInvestiții bazate pe factoriRevenire la medie
BigQuant

This brief indicator note introduces the Consecutive Break (CB) measure and names a close-price input with upward and downward length parameters. Its pseudocode defines an upward count as the number of consecutive bars in which the close exceeds the previous…

AcțiuniIndicatori tehniciMomentum