Bitcoin Price Prediction Using Deep Learning Algorithms

Cryptographic money is an advanced resource or we can basically say it's a computerized cash. This money utilizes cryptography and influences blockchain innovation. One of the elements of this resource is that it is decentralized, truly intending that there's no focal body who issues them so they are insusceptible to all the control done by the public authority. In recent years, the Bitcoin network has attracted investors, businesses, and corporations while facilitating services and product deals. Moreover, Bitcoin has made itself the dominant source of decentralized cryptocurrency. While considerable research has been done concerning Bitcoin network analysis, limited research has been conducted on predicting the Bitcoin price.

ln exchanges of money gave by the public authority are approved by the banks however exchanges finished with digital currency are not approved by any bank. One ought to ask how we can guarantee there's no twofold spending. As cryptographic money is decentralized, every one of the exchanges are approved by some pool of companions. Presently you might ask why they do as such, for effective approval of the exchanges the companions get a small amount of the digital currency as their expense. One of the highlights of digital money is that anybody can perceive how much an individual is holding this cryptographic money in their wallets.

Bitcoin was the primary cryptographic money developed by an unknown individual called Satoshi Nakamoto and acquainted with the world through a white paper in 2008. At the present time the cost of 1 BTC (Bitcoin) is around 38,000$. Around then no one has idea that it might at any point arrive at this cost. In any case, nothing occurs suddenly, there are altogether the secret examples that an ordinary person can't see. Imagine a scenario where we let you know that you can foresee the following day's cost of any resource. We can do as such by utilizing past information of the resource.

To predict the future price of bitcoin, we will need the past data and learn the hidden patterns in it. The major steps will be uploading data, and reformatting it so that we can learn all the hidden patterns. After data reformation, we will use deep learning algorithms, a sequence model to be precise, and will fit it on bitcoin past data.

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Steps that we are going to follow :

1. Data Loading and Analysis

We will be using Bitcoin data from the past 7 years. The dataset will be provided in CSV format and we will read it using pandas in python. We will then plot the price data using pandas and observe the price pattern using candlesticks.

2. Data Reformatting

Later on, we'll see what’s time-series data, and what all changes we need to make in the data so that hidden patterns can be learned easily.

3. Model Creation and Training

After generating data in the required format, we will create a sequence model that can learn patterns from a time series. We will use this model to predict the next day's price of bitcoin and we can also use this to predict the next N day's price of bitcoin.

What you will learn in this session :

• Loading data using python pandas
• What is time series analysis
• How to create neural networks using TensorFlow and Keras
• How sequence model works

This is going to be one of the best session that you have attended till date. This is the Live Session with Limited Seats and Limited Time for seat booking. So don't be late grab you seat now

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