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hybrid strategy for stock trading

My project is to develop a hybrid model of computationally efficient functional link artificial neural network trained using traditional back propagation algorithm for stock trading decision prediction. The output of the work would be buy, sell and hold [login to view URL] is mentioned in the reference paper. data used is 5 years historical prices of axis bank, canara bank and allahabad bank. Data is taken from NSE website. time period is 01/01/2013 to 01/01/2018. Programming language- python or java.

Compétences : Java, Python

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Concernant l'employeur :
( 0 commentaires ) India

Nº du projet : #17306900

8 freelance font une offre moyenne de ₹983/heure pour ce travail

abhilashtv

Hi, ➲ 7+ years of full-time experience in Python / Django with 50,000+ Upwork hours billed and 50+ successful Python projects ➲ Upwork Top 10 Certification for Python and Django ➲ Guaranteed Results Policy: Pay only Plus

₹750 INR / heure
(11 Commentaires)
5.0
dinhfreedom

Dear sir. Your project attracted my attention at first glance, because I've really rich experience in Hybrid Strategy for Stock Trading Programming. I'm really confident about your project, and very eager to join you Plus

₹600 INR / heure
(17 Commentaires)
5.1
₹3333 INR / heure
(3 Commentaires)
3.9
general985

Hello sir. I'm excited about your project, because I've really rich experience in Stock Trading Programming. I've developed many projects similar to yours and excellent skills. If you award me, I'll provide wonderfu Plus

₹600 INR / heure
(11 Commentaires)
3.3
₹638 INR / heure
(0 Commentaires)
0.0
₹555 INR / heure
(0 Commentaires)
0.0
muruganrajendran

Hi, I'm skilled in Python and can help you build this application using AI/ML technology of your choice. I should admit that I'm not expert in AI/ML but willing to learn. We can use IBM Watson or Google's Tensorflow f Plus

₹750 INR / heure
(0 Commentaires)
0.0
₹638 INR / heure
(0 Commentaires)
0.0