bitcoin price prediction

1. BITCOIN PRICE PREDICTION USING
MACHINE LEARNING
Team Members
1. M.Deenadhayalan-(513320104008)
2. R.Pownkumar -(513320104029)
3. B.Dhanush kotti -(513320104301)
Guide by: Mr. G.Dhanasekaran M.E.,
CSE Department,
UCEA.

2. Introduction
Bitcoin is a decentralized digital currency
that has seen a tremendous increase in value over
the past few years, making it a popular choice for
investors. Predicting the price of bitcoin is a
challenging task due to its volatile nature, and
traditional methods have not always been
successful in accurately predicting its future
price movements. In recent years, machine
learning algorithms have shown great potential
in predicting the price of bitcoin.

3. Abstract
Predicting the price of bitcoin using
machine learning techniques. We used historical
data of bitcoin prices and extracted relevant
features such as trading volume, social media
sentiment, and market capitalization to train and
test the models.

4. Literature Survey
S.NO Author
Name/Title
Publications
and Year
Advantages Disadvantages/
Limitations
1. Kakul Nigam
Prediction of the
variation in price
of bitcoin using
machine learning
2023 6th
International
Conference on
Contemporary
Computing
and
Informatics
(IC3I)
For some, having a
prediction, even if
uncertain, can offer
peace of mind or
guide trading
decisions.
False or
misleading
predictions
can lead to
poor
investment
decisions and
financial
losses.
2. S.Ezhilin Freeda
Prediction of
bitcoin price
using deep
learning model
2021 5th
International
Conference on
Electronics,
Communicatio
n and
Aerospace
Technology(IC
ECA)
Predictions can
inform strategies
for hedging against
potential price
fluctuations.
Blindly relying
on predictions
can disregard
crucial
research and
risk
management
practices.

5. S.NO Author
Name/Title
Publications
and Year
Advantages Disadvantages/
Limitations
3 Joshila
Grace.LK.
Price
Prediction of
Bitcoin
Proceedings of
the Fifth
International
Conference on
Trends in
Electronics and
Informatics
(ICOEI).2021
Predictions
can help
investors
gauge
potential
future value
and make
informed
decisions
about
buying, sellin
g, or holding
Bitcoin.
Bitcoin's
notoriously
volatile
nature makes
accurate
predictions
extremely
challenging.
4 Tonghui Li
Prediction of
Bitcoin Price
Based on LSTM
2022
International
Conference on
Machine
Learning and
Intelligent
Systems
Engineering
(MLISE)
Predictions
can be used
to set stop-
loss orders
and other risk
management
strategies.
Predictions
can influence
market
behavior, pot
entially
causing them
to become
inaccurate.

6. Existing System
There are several existing machine learning models for bitcoin
price prediction that have been developed by researchers and
practitioners in the field.
LSTM Networks: LSTM Networks have been used to predict
bitcoin prices with good accuracy, particularly when combined with
technical indicators such as moving averages, volume, and momentum.
Prophet: Prophet is a time-series forecasting model developed
by facebook that can be used for prediction tasks such as predicting
stock prices, sales, and website traffic.
ARIMA: Autoregressive Integrated Moving Average(ARIMA)
models are a popular statistical method for time-series forecasting.
ARIMA models have been used to predict bitcoin prices by analysing
historical data and identifying trends and patterns.

7. Disadvantage of Existing System
• Cryptocurrency investors should take a price prediction with a
good degree of skepticism. One of the major problems with
many price predictions about bitcoin is that they lack sufficient
analytical support to back up their claims.
• In the price prediction they are use 2017-2022. Those five
years data are used in the project.

8. Proposed Solution
We are going to analysis full data sheet of
the bitcoin. From starting date upto till now.
Using those data and we are predict the future
price of the bitcoin with help of machine
learning.

9. Advantages of Proposed Solution
• Our project is helpful for the trader to buy and selling the
bitcoin.
• It maybe occur the big change in the cryptocurrency of
bitcoin.
• We are predict the future price of the bitcoin.
• Which mean the analysis those data till present day we predict
the next 20day price of the bitcoin.

10. References
• S.McNally,J.Roche,andS.Caton,”Predicting the price of bitcoin
using machine learning,” in parallel, distributed and network-
based processing(PDP), 2018 26th Euromicro International
Conference on, 2018
• R.Mittal,S.Arora,and M.P.S.Bhatia,”Automated
Cryptocurrencies prices. Prediction using machine
learning,”2018

11. Thank you