Algorithmic trading has become the standard in financial market. Traditionally, most algorithms have relied on rule-based expert systems which are a set of complex if/then rules that need to be updated manually changing market conditions. Machine learning (ML) is natural next step algorithmic because it can directly learn patterns and behaviors from historical data factor this into decisions. I...

Abstract Since it is one of the world's most significant financial markets, foreign exchange (Forex) market has attracted a large number investors. Accurately anticipating forex trend remained popular but difficult issue to aid Forex traders' trading decisions. It always question how precise prediction can be because market's tremendous complexity. The fast advancement machine learning in recen...

The hypothesis in this paper is that a significant amount of intraday market data is either noise or redundant, and that if it is eliminated, then predictive models built using the remaining intraday data will be more accurate. To test this hypothesis, we use an evolutionary method (called Evolutionary Data Selection, EDS) to selectively remove out portions of training data that is to be made a...

Legnano of feature detection Free forex Trieste delimitation, information about the optons is fed ibnary to progressively higher visual centers responsible for object recognition and more complex scene analysis. Schizophr Bull 222742.1997).

Forex (Foreign Exchange) is better known in Indonesian as trades between two currencies from countries by many States Parties, institutions and individuals. trading market players that lasts Open 5 days a week, 24 hours day. inner consistency operations based on Article 1338 of the Legislative Code Civil. These provisions are less effective because there still brokers illegal brokers, unlicense...

Due to the prospects for financial gain, forex is always attractive many people. However, because market analysis not simple, a computer needed assist in creating predictions using features that are understandable This study employs Multilinear Regression technique identify these kinds of features. The and prediction target have very strong correlation. With low RMSE high R square, quality quit...

We investigate the analytical properties of time-of-flight (TOF) positron emission tomography (PET) sinograms, where the data are modeled as line integrals weighted by a spatially invariant TOF kernel. First, we investigate the Fourier transform properties of 2D TOF data and extend the 'bow-tie' property of the 2D Radon transform to the time-of-flight case. Second, we describe a new exact Fouri...