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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

This proposed Chinese equity screen combines membership in the metaverse industry with a rounded price pattern and seven consecutive down sessions. The accompanying explanation frames the falling-price condition as an added technical filter intended to…

Piețele din ChinaAcțiuniIndicatori tehniciMomentum
BigQuant

This report explains how the MSCI China A50 Connect Index selects and weights large-cap Chinese equities. It chooses stocks across GICS industries, first taking leading free-float market-cap names by industry and then filling to 50 constituents; weights are…

AcțiuniPiețele din ChinaInvestiții bazate pe factoriConstruirea portofoliului
BigQuant

This study examines quantitative stock selection within China’s electronics and electronic-components sectors. It reviews conventional fundamental and price-volume factors, reporting promising selection results for valuation, quarterly profit growth, return…

AcțiuniInvestiții bazate pe factoriPiețele din ChinaTestare istorică
BigQuant

The document introduces the Bias indicator, which expresses a closing price’s percentage deviation from its moving average over a chosen number of days. The calculation compares the close with the moving average, subtracts the average, and scales the…

Indicatori tehniciStatistică
BigQuant

Return on equity (ROE) measures net income relative to shareholders’ equity, expressing how much profit a company generates from its equity base. The document gives the formula and a simple numerical illustration, then describes how investors may interpret…

AcțiuniInvestiții bazate pe factoriStatisticăGestionarea riscului
BigQuant

The document describes a stock strategy that scores candidates with a neural network, buys up to three holdings, and aims to sell each after three trading days. It stores each stock and its entry-day index in a context list, then compares that index with the…

AcțiuniDimensionarea pozițiilorExecuțieTestare istorică
BigQuant

This weekly report assesses Chinese equity-market sentiment after a sharp March decline and a subsequent rebound. Its composite sentiment score rose from 38 to 51, while the authors judged that near-term further weakness had become less likely, despite…

AcțiuniSentimentContracte futuresOpțiuni
BigQuant

This tutorial develops a stock factor from the sum of trading volume during the first 15 minutes of a session. It explains why opening activity may be informative: overnight news is reflected in early trading, the opening period contributes to price…

AcțiuniIndicatori tehniciInvestiții bazate pe factoriTranzacționare de înaltă frecvență
BigQuant

The discussion compares quantitative research practices in China and overseas. It says Chinese investors more often try to predict stock prices directly, while overseas researchers may estimate missing observations, factor values, company revenue, or…

Învățare automatăStatisticăAcțiuniPiețele din China
BigQuant

This post describes a live-order funding problem in an equities strategy. A buy signal was calculated using the previous close for 18,100 shares, while the stock opened higher and the trader submitted the order near the open using the fifth ask level. With…

AcțiuniExecuțieDimensionarea pozițiilorGestionarea riscului
BigQuant

The document addresses how to combine multiple stock-selection factors when they have different preferred directions. Its example asks how to score one factor from low to high and another from high to low, then rank securities by the average of their scores.…

AcțiuniInvestiții bazate pe factoriConstruirea portofoliului
BigQuant

This brief explanation describes “doing T” in Chinese equities: using intraday buys and sells to adjust the cost basis of an existing position, despite the market’s T+1 settlement rule. It says the trader needs to keep cash available rather than invest the…

AcțiuniPiețele din ChinaTranzacționare în grilăDimensionarea pozițiilor
BigQuant

This guide outlines a workflow that combines TQ EDB market and indicator data services with Coze as a conversational research assistant. After adding the EDB skill, a researcher can describe a task and request data retrieval, idea checks, simple backtests,…

Contracte futuresMărfuriTestare istoricăStatistică
BigQuant

This Chinese-language research summary describes a stock-selection factor built from quarterly profitability data. It defines a trend measure as the sensitivity of profitability to time in a linear regression, with separate versions based on…

AcțiuniInvestiții bazate pe factoriStatisticăTestare istorică
BigQuant

The article reviews research on the 2016 launch of Morningstar’s sustainability ratings for U.S. mutual funds. The ratings use portfolio holdings and company ESG scores to assign funds one to five stars within their categories; the star display appears more…

AcțiuniStatisticăSentimentBazat pe evenimente
BigQuant

This guide recommends choosing community trading strategies according to an investor's capital, return expectations, and tolerance for drawdown. It distinguishes a conservative profile, associated with diversified holdings, a smoother equity curve, a longer…

Gestionarea risculuiTestare istoricăConstruirea portofoliuluiDimensionarea pozițiilor
BigQuant

This indicator description explains a ZigZag variant that calculates turning points from the high and low values of Heikin Ashi candles. The Heikin Ashi period is configurable, and users can choose whether the Heikin Ashi candles themselves are displayed.…

Indicatori tehniciVolatilitate
BigQuant

This article examines whether financial factors such as value, size, profitability, investment, and momentum can be timed using predictive signals. It groups candidate signals into financial conditions, economic conditions, investor sentiment, factor…

Investiții bazate pe factoriAcțiuniMomentumSentiment
BigQuant

The report describes an asset allocation approach that measures cycle states and uses machine learning to estimate the probability that assets will outperform one another. It reviews macroeconomic timing frameworks, then describes cycle factors derived from…

Active din mai multe claseÎnvățare automatăStatisticăConstruirea portofoliului
BigQuant

This tutorial surveys support vector machines, k-nearest neighbors, naive Bayes, and the perceptron as lightweight classifiers for relatively small datasets and feature sets. It explains SVM’s maximum-margin boundary, the role of support vectors, soft…

Învățare automatăStatistică
BigQuant

This April 2020 market note combines valuation, trading activity, sentiment, sector flows, and style factor monitoring to assess Chinese equities. It describes subdued market turnover and relatively low overall valuations, while agriculture-related stocks…

AcțiuniPiețele din ChinaInvestiții bazate pe factoriMomentum
BigQuant

This forum question concerns adding a moving-average exit condition to an AI stock-selection backtest. The proposed logic waits until a minimum holding period has passed, then examines positions in reverse StockRanker prediction order and sells eligible…

AcțiuniIndicatori tehniciTestare istoricăExecuție
BigQuant

The document presents a way to estimate how often a one-minute Chinese convertible-bond bar closes above its open after three consecutive up bars. It converts each bar’s return into a binary up-or-not indicator, scans the series for three up bars, and counts…

StatisticăTestare istoricăIndicatori tehniciInstrumente cu venit fix
BigQuant

This review of factor performance during the 2018–2020 quant crisis examines why diversified equity strategies struggled. It analyzes standard size, value, investment, profitability, and momentum factors, alongside portfolios formed by sorting stocks on size…

AcțiuniInvestiții bazate pe factoriMomentumStatistică