Difference between revisions of "Group07 proposal"

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== <big>Data Source</big> ==
 
== <big>Data Source</big> ==
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'''Dataset'''
  
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The dataset of [https://www.kaggle.com/philmohun/cryptocurrency-financial-data] contains the following:
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*Currency: Name of currency
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*Date: Date refers to the calendar date for the particular row - 24 hours midnight to midnight
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*Open: Open is what the price was at the beginning of the day
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*High: Highest recorded trading price of the day
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*Low: Lowest recorded trading price of the day
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*Close: Close is what the price was at the end of the day
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*Volume: Volume represents the monetary value of the currency traded in a 24 hour period, denoted in USD
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*Market Cap: Market cap is circulating supply x price of the coin. For example, if you have 100 coins that are worth $10 each your market cap is $1,000
 
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Revision as of 17:47, 2 March 2020

Home - PicSource: https://cryptonews.com/news/the-beginner-s-guide-to-cryptocurrency-trading-1036.htm


Overview

As of March 2018, there are 1,658 cryptocurrencies in existence. The total cryptocurrency market capitalization is just under $369 billion. With the help of cryptography and a collective booking system called blockchain, cryptocurrencies build a distributed, safe and decentralized payment system, which does not need banks, intermediates, an organization or a central technical infrastructure to work.

However, mainly due to lack of regulatory support, Cryptocurrencies are highly volatile, which makes it a risky investment. Therefore, in this project, a Shiny web application is created with the cryptocurrency analysis in mind. It integrates three types of analysis: Time Series Analysis, Correlation Analysis and Portfolio Selection Analysis within one application. This application is made to be informative and allows potential investors of cryptocurrency to interact with the data embedded within the application, view the visualization and generate results based on the selected filters before they make decision on cryptocurrency investment.


Project Motivation and Objectives

We aim to achieve the following objectives in our project:

1. An overview of different cryptocurrency in time series, including open/close price, high/low price shown in a candlestick diagram and distribution of each cryptocurrency capital.

2. Correlation analyze among all cryptocurrency. Correlation analysis between Bitcoin and others cryptocurrency, which will help us reveal the similar price pattern of cryptocurrency.

3. Portfolio selection analyze in a deterministic optimization method. In this project, we will use this data as a starting point for a detailed analysis into what is driving price action, and what can be done to predict future movement.


Data Source

Dataset

The dataset of [1] contains the following:

  • Currency: Name of currency
  • Date: Date refers to the calendar date for the particular row - 24 hours midnight to midnight
  • Open: Open is what the price was at the beginning of the day
  • High: Highest recorded trading price of the day
  • Low: Lowest recorded trading price of the day
  • Close: Close is what the price was at the end of the day
  • Volume: Volume represents the monetary value of the currency traded in a 24 hour period, denoted in USD
  • Market Cap: Market cap is circulating supply x price of the coin. For example, if you have 100 coins that are worth $10 each your market cap is $1,000


Proposed Scope and Methodology


Tools & R Packages



Team Members

Chen Peng

Guo Yichao


References