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Bitcoin Price Prediction Technique Using Artificial Intelligence And Machine Learning
Abstract: When it comes to predicting the value of Bitcoin, this paper discusses how linear regression and long short-term memory models work. Bitcoin has evolved into more of an investment vehicle as it has grown in popularity. It is based on the Block chain technology that has led to the creation of other cryptocurrencies. Because it is difficult to determine the value of this predictor, a Machine Learning Algorithm and an Artificial Neural Network Model are used to test it. Methodology: The researchers used bitcoin data sets to learn about machine learning and artificial intelligence. Python libraries were used to assist with the data filtering process. Python has one of the most powerful tools for working with data and making it look good: plotting. After reviewing our data, we narrow it down to the most important features and attributes. People tested the model, and the results were recorded. When compared to other Machine Learning models, the linear regression model has a 99.87 percent accuracy rate. In fact, it outperforms the competition. This model has a much lower mini error rate of 0.08 percent than the other models. When it comes to optimization, neural networks outperform machine learning, as demonstrated by the following example. The Tkinter library is used in this work to create a small GUI that allows people to enter values for the High, Low, and Open features of a coin in order to calculate how much the coin will be worth when it is traded again. This paper compares and contrasts ANN and machine learning models in terms of how they work. We used a linear regression to see how well each machine learning model performed in this study because there were other machine learning models.
Notices, Deadlines & Correspondence
Patent Information
Applicants
1. Dr. Saroj Kumar
2. Shehab Mohamed Beram
3. Dr. Kirti Khanna
4. Dr. Anurag Shrivastava
5. Dr. Sumira Malik
6. Dr. Jayasri Murali Iyengar
7. Santosh Kumar Sharma
8. Dr. Sumanta Bhattacharya
Inventors
1. Dr. Saroj Kumar
2. Shehab Mohamed Beram
3. Dr. Kirti Khanna
4. Dr. Anurag Shrivastava
5. Dr. Sumira Malik
6. Dr. Jayasri Murali Iyengar
7. Santosh Kumar Sharma
8. Dr. Sumanta Bhattacharya
Specification
Investing in the stock market is a good idea, but what better way than with
cryptocurrency? With the rise of e-money and crypto currencies, investing in
them is the best way to grow your money. You don't have to worry about being
taxed in other countries if you don't invest in Bitcoin or any other crypto
currency. Bitcoin is not under the control of any country or government. The
rise in value and popularity of Bitcoin has spawned a slew of new crypto
currencies. This has resulted in a plethora of similar currencies. People who
are new to the cryptocurrency market appreciate how simple it is to buy and
sell cryptocurrencies on exchanges such as WazirX, Binance, and others. This
is one of the most important reasons. These easy-to-use platforms make it
simple to open an account and begin trading. A legal ID, such as an adhaar or
PAN card, can assist you in registering for a Gmail or Facebook account. You
will need these documents to complete this task. Because cryptocurrency
trading takes place on a peer-to-peer network, there is no need for a broker,
lawyer, or agent. This eliminates the need for additional costs associated with
stock market investing. The fact that you can buy a small amount of a
cryptocurrency's assets makes cryptocurrency trading so versatile. You don't
have to spend all of your money on one item. You can buy a small amount of it
and spend the rest on other coins. It is possible for businessmen and other
investors who work during business hours to compete in the Cryptocurrency,
seven days a week on an equal footing with the rest of the market. Traditional
exchanges can take days or even weeks to complete a transaction, but crypto
currency exchanges are much faster because assets can be bought and sold in
seconds. This technology should be used by everyone because it is in their best
interests. Long checks at traditional exchanges are no longer required as a
result of blockchain technology. As an added bonus, you can see how far
you've progressed with each asset at a glance and keep track of your orders
more quickly. Because there have been a lot of digital coins and block chain
technology has been used, cryptocurrency trading has become very popular
recently, but it has raised the most important issue, the scalability issue. VISA,
on the other hand, handles far more transactions per day. In terms of
transaction speed, the cryptocurrency market cannot compete with well-known
companies such as VISA. The systems that support these technologies, such as
Visa and MasterCard, cost a lot of money and time to run. When you look at
support and resistance, you can see where these directions may come to a halt.
The overall pattern demonstrates how these patterns may change over time. All
three of these components are present in a technical chart analysis. The
knowledge of how the market thinks. Cryptocurrencies haven't been around
long enough to accumulate enough data on critical resistance and support
levels. This is not the same as the stock market, currency exchanges, or
commodity markets. As a result, people have a difficult time making
predictions and improving their skills. Long Short-Term Memory was found to
be more accurate than Linear Regression in the study's findings. We might get
different results if we look at more than just open, close, high, and low.
Because of the volatility of the market and the influence of things like social
media, it's not possible to predict the future of the cryptocurrency market
based solely on data. As technology advances, more data can be collected,
analysed, and used. The results of this experiment will improve as time goes on.
CLAIMS
1. Bitcoin Price Prediction Technique using Artificial Intelligence and Machine
Learning examine the bitcoin market's predictability from 1 to 60 minutes.
2. Machine learning based Bitcoin - cryptocurrency price predictor of claim 1,
wherein said that Cryptocurrency is a new type of asset created by advances in
financial technology that has opened doors for researchers.
3. Machine learning based Bitcoin - cryptocurrency price predictor of claim 1,
wherein said we evaluate ML models.
4. Machine learning based Bitcoin - cryptocurrency price predictor of claim 1,
wherein said we use a robust feature set.
5. Machine learning based Bitcoin - cryptocurrency price predictor of claim 1,
wherein said that Longer forecast horizons improve predictability.
6. Machine learning based Bitcoin - cryptocurrency price predictor of claim 1,
wherein said that the system is fully automated and self-sufficient
7. Machine learning based Bitcoin - cryptocurrency price predictor of claim 1,
wherein said that this research looks at all of the important and recent work
that has been done so far, as well as its limitations and challenges
8. Machine learning based Bitcoin - cryptocurrency price predictor of claim 1,
wherein said that in recent years, abandoned object has become a hot topic in
surveillance system.
Documents
Application Documents
| # | Name | Date |
|---|---|---|
| 1 | 202111061406-STATEMENT OF UNDERTAKING (FORM 3) [29-12-2021(online)].pdf | 2021-12-29 |
| 2 | 202111061406-REQUEST FOR EARLY PUBLICATION(FORM-9) [29-12-2021(online)].pdf | 2021-12-29 |
| 3 | 202111061406-POWER OF AUTHORITY [29-12-2021(online)].pdf | 2021-12-29 |
| 4 | 202111061406-FORM-9 [29-12-2021(online)].pdf | 2021-12-29 |
| 5 | 202111061406-FORM 1 [29-12-2021(online)].pdf | 2021-12-29 |
| 6 | 202111061406-DRAWINGS [29-12-2021(online)].pdf | 2021-12-29 |
| 7 | 202111061406-DECLARATION OF INVENTORSHIP (FORM 5) [29-12-2021(online)].pdf | 2021-12-29 |
| 8 | 202111061406-COMPLETE SPECIFICATION [29-12-2021(online)].pdf | 2021-12-29 |