1. A Predictive Model for the Global Cryptocurrency Market
Minul Wimalagunaratne, Guhanathan Poravie
Informatics Institute of Technology, Sri Lanka

2. The Cryptocurrency Market, 2017 1315 crypto-coins
US $300 billion market cap
The Dominance of Bitcoin
Market Dominance: 56.5%
All time high: $10500
24hr Trading Volume $12 billion

3. International Conference on Innovations in Infobusiness and Technology
Background
Extreme Volatility
“In a short period of time, it [the cryptocurrency market] can reach all-time highs and crash, repeatedly, seemingly out of nowhere”
(Bamburic, 2017)
Key Stakeholders
Miners
Investors
Traders
International Conference on Innovations in Infobusiness and Technology

4. Significance of the Research
A solution for predicting prices for Bitcoin as well as Altcoins, which takes into consideration technological methodologies and multiple market factors in the form of a hybrid approach.
Talk about stake holders
International Conference on Innovations in Infobusiness and Technology

5. Factors that can be used to predict the price of Cryptocurrency
Public Perception
Trading Information
Historic Information
Trading Volume: opening price, closing price, trading volume
Historic price: patters in prices
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6. Capturing the Public Perception through Sentiment Analysis
Scraping blogs/ communities Social Media
To capture the aspect of public perception.
International Conference on Innovations in Infobusiness and Technology

7. Manipulating Trading Information Through Machine Learning
Using trading volume
Identify patterns in using historic price data
Changes of price in Bitcoin affecting Altcoins
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8. Proposed System API’s of Online Exchanges API’s of Social Media
Machine learning
Sentiment Analysis
Prediction
Price prediction of BTC and Altcoins
International Conference on Innovations in Infobusiness and Technology

9. International Conference on Innovations in Infobusiness and Technology
Thank You!
Acknowledgments
Special thanks to Mr. Guhanathan Poravie for the assistance and guidance provided.
International Conference on Innovations in Infobusiness and Technology