A machine learning project aiming to analyze and predict CO2 emissions from country parameters such as economic indicators, population, energy use, land use, etc., provided by the World Bank. machine-learningstorytellingdata-visualizationpredictive-analysisco2-emissions ...
McMillan also digs into the ''new'' volatility products – options and futures – to explain how to discover which investment works best for you in today s markets, allowing for fewer losses and bigger returns. Plus, he describes how VIX futures can be used as technical indicators and the ...
The proposed technique helps to improve intraday trading by predicting the closing price of the stock for the next day and the trends of selected stocks in the near term.Rahul Maruti Dhokanehttps://ror.org/048q3sh29grid.448952.60000 0004 1767 7579Computer Science and Engineering DepartmentSuresh ...
As with most other technical indicators, the Three Line Strike recognition function is designed to identify and follow existing trends. Predictive Oncology momentum indicators are usually used to generate trading rules based on assumptions that Predictive Oncology trends in prices tend to continue for ...
SymbolDescriptionStock tradingTwo-way betting assets being traded on the market stocks, securities sports matches market sides, in two-way markets buy/sell (bid/ask) home/away (back/lay) opportunities to trade assets at time e.g. buy now e.g. bet home relevant data available for opportunity...
Advanced Charting Techniques for High Probability Trading: The Most Accurate And Predictive Charting Method Ever Created Connect with Wiley Publicity View the press kit for this title View all Press Releases There are over 175 recognized technical indicators that have been developed by traders, mathe...
This paper extends previous research by describing the CCI's utility in predicting other economic indicators, with personal expenditures as a test; and its potential relationship with stock market prices.3 Using the CCI to Predict Personal Expenditures There are substantial theoretical grounds for a ...
The combined methods, one probabilistic and one possibilistic, focused on discriminating the common use of multiple technical indicators (TI) to preselect stocks based on the probabilistic framework. Experiments showed that the proposed model could raise portfolio performance. Fischer and Krauss (2018) ...
Multifractal characterization of energy stocks in China: A multifractal detrended fluctuation analysis 2016, Physica A: Statistical Mechanics and its Applications Approximate amplitude encoding in shallow parameterized quantum circuits and its application to financial market indicators ...
Trading StrategyPredictive ModelingLS - SVMThis research examines the efficacy of technical analysis and predictive modeling in defining the optimal strategy for investing in the stocks indices of emerging markets. Trading strategies are set regarding different technical indicators based on moving averages ...