Digital Signal Processing for Predicting Stock Prices
نویسندگان
چکیده
منابع مشابه
A Hybrid Time Lagged Network for Predicting Stock Prices
Traditionally, technical analysis approach, that predicts stock prices based on historical prices and volume, basic concepts of trends, price patterns and oscillators, is commonly used by stock investors to aid investment decisions. Advanced intelligent techniques, ranging from pure mathematical models and expert systems to neural networks, have also been used in many financial trading systems ...
متن کاملPredicting protein subcellular location using digital signal processing.
The biological functions of a protein are closely related to its attributes in a cell. With the rapid accumulation of newly found protein sequence data in databanks, it is highly desirable to develop an automated method for predicting the subcellular location of proteins. The establishment of such a predictor will expedite the functional determination of newly found proteins and the process of ...
متن کاملPSpice for Digital Signal Processing
PSpice for Digital Signal Processing is the last in a series of five books using Cadence Orcad PSpice version 10.5 and introduces a very novel approach to learning digital signal processing (DSP). DSP is traditionally taught using Matlab/Simulink software but has some inherent weaknesses for students particularly at the introductory level. The ‘plug in variables and play’ nature of these softwa...
متن کاملPredicting the direction of stock market prices using random forest
Predicting trends in stock market prices has been an area of interest for researchers for many years due to its complex and dynamic nature. Intrinsic volatility in stock market across the globe makes the task of prediction challenging. Forecasting and diffusion modeling, although effective can’t be the panacea to the diverse range of problems encountered in prediction, short-term or otherwise. ...
متن کاملDigital Signal Processing Fundamentals
Recent advances in digital signal processing (DSP) technology make it easier for scientists to develop powerful personal computer-based data acquisition and analysis systems. This application note discusses DSP technology from a hardware, software, and application point of view. The Reduced Instruction Set Computer (RISC) architecture of the Texas Instruments (TI) TMS320C30 chip is used as an e...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2020
ISSN: 0975-8887
DOI: 10.5120/ijca2020920762