Stock price prediction using SVM and Random Forest with Python
$10-30 USD
Paid on delivery
I am trying to predict the S&P 500 and Nasdaq 100 indexes with Support Vector machines and random forest algorithms using Python. However my accuracy scores are low. I only used the technical indicators as features in my model but I want to improve my model using inter market features as in the example [login to view URL] ([login to view URL]) I want to group my features like technical indicators; inter-market features and all features and see how accuracy score improves. Also i want to add another targets like open-close and return and see if open close or return target is good for prediction as in the case of [login to view URL] . Lastly i want to add a trading strategy to see if my prediction is good for return. my code so far is attached also
Project ID: #19787135
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Hi, I hope you are doing good. well regarding this project, I have extensive 8+ years of experience in Machine learning projects using Python. I will work with efficient and correct way. Give me work, I will surel More
5 freelancers are bidding on average $85 for this job
I have extensive experience in the domains of Natural Language Processing, Image Recognition & Artificial Intelligence'Trim,Recommender Systems,Machine learning,Data Minning, Deep Learning, Computer Vision, AI text ana More
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hi I have been doing this since a long time developing stock price prediction API for for our clients .I can help you attain a very high level of accuracy contact for more .
Hi I am interested in working in your project. I have good understanding of Python & ML & can help you here. We can discuss more around need over chat.
