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financial data prediction using deep neural network

this study address the issue wherein the attempt will be made to train computer to beat experienced traders for financial asset trading. This is tackled by injecting a deep neural network (NN) to deal with financial signal representation and trading by using two trends like, the learning concepts of deep learning (DL) and backpropagation .The deep learning (DL) is utilized for sensing the dynamic varying market condition for informative feature learning, after that the back propagation module which helps to reduce error and interact with deep representations and provide decisions to acquire the ultimate rewards in an unknown environment within task-aware backpropagation through time method.

Keywords: Deep learning (DL), financial signal processing, neural network (NN).

Skills: Algoritma, Finansal Araştırma, Matematik, İstatistiksel Analiz, İstatistik

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( 0 reviews ) India

Project ID: #16736242

8 freelancers are bidding on average ₹11486 for this job

dinhfreedom

-----Very Nice Job. Professional Statistics & Finance & Machine Learning expert. Best result in time----- [login to view URL] I read your description very carefully. I am very interesting for your project because I have ri More

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chumkibhowmick

I am currently working on a paper on Portfolio Optimisation in R using Machine Learning. I am a full-time freelancer looking for a long term business alliance. I have a 5 star rated profile in [login to view URL] too. If you ar More

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rizwanmpec

Expert in Matlab, Simulink, Power System, Signal Processing, Image Processing Artificial Intelligence. Excellent in Electrical Engg. Similar project finished like Electricity Data forecasting with 11 techniques of NN More

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conanhero

• Data Scientist resarching and developing machine learning projects. • Fullstack Engineer has been focused on the high traffic and big data projects. Specialities: • Researching and implementing Machine Learning (M More

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ChrisJ23

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phalikishk

I guarantee 0.99 R2 test prediction using neural network LSTM model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . More

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marjan2012

I think your data set is High Frequency data! My guess: Limit Book Order data! I am not sure if you just need deep neural net, but maybe Reinforcement Learning might help as well. Anyway feel confidence to contact m More

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