How to build a personalized crypto portfolio tracker using ChatGPT

Main meals

• AI tools, such as Chatgpt, can help tracking the weaving wallets with experience and new new, which is released from time for other investment activities and making the process easier.

• Determining specific requirements, such as cryptocurrencies to track the required data points, is necessary to build an effective portfolio of your investment goals.

• By combining ChatGPT and actual time encryption data from application programming facades such as Coinmarketca, you can create comments and analyzes in the market, and provide deeper visions in the performance of your portfolio. Additional features such as price alerts, performance analysis and an easy -to -use interface can be developed more effectively.

If you are an investor of cryptocurrency, you are clearly getting a strong appetite for risks! The coded currency portfolios include many overwhelming stages, from desktop research on the profitability of encrypted currencies to actively trading coding to monitoring regulations. Management of a group of cryptocurrencies can be complex and take a long time, even for smart investors.

On the contrary, if you are a beginner in the world of cryptocurrencies and want to prepare yourself for success, you may be postponed by complex all of this.

The good news is that artificial intelligence (AI) provides valuable tools for the encryption industry, which helps you to simplify the tracking of the wallet and analyze it when applied effectively.

As an experienced investor in encryption, this can help free your precious time to focus on other activities in your investment life cycle. If you are a new investor, AI can help you take this first important step. Read to see how AI, specifically, ChatGPT, can help you build a dedicated portfolio.

To start, what is this?

Let’s discover.

What is ChatGPT?

ChatGPT is an Amnesty International Conversation model that can make various tasks using specific claims by the user-including data recovery, analysis and perceptions.

GPT means “pre -training adapter”, which indicates the fact that it is a large linguistic model on a large scale on abundant amounts of text from various sources via the Internet and designed to understand the context and provide practical results for the final users.

ChatGPT intelligence makes a strong resource for building a specially directed encryption porridge towards the investment profile and your goals.

Let’s learn how to create a customized portfolio with ChatGPT.

Step 1: Determine your requirements

Despite the technical details, it is important to determine what you expect from the encryption portfolio follower. For example, think about the following questions:

• What are the encrypted currencies that you will follow?

• What is your investment approach? Do you look forward to the final work in the cryptocurrencies actively or do you look for “buying and keeping them” in the long run?

• What are the data points you need to collect to track? These things may include, but not limited to, the maximum market, size, and even web news that can change your investment decisions fundamentally.

• What do you need exactly to the follower to present to you? Real -time updates? Periodic summaries? Maybe a mixture of both?

• How do you want the output to look? Alerts, performance analysis, historical data or anything else?

Once you have a clear understanding of your requirements, you can move to the following steps. It is better to write your requirements in the standard specifications document so that you can continue to improve it later if necessary.

Step 2: Preparation ChatGPT

This is the fun thing! Well, if you are enjoying the code. Remember that Chatgpt is a large language model with a large amount of intelligence sitting under it.

Using Chatgpt effectively requires you to be able to reach the basic model, which you can do via the application program or API.

The company that owns Chatgpt – Openai provides API access to the tool you can use to build your follower. It is simpler than you might think. You can use your three -step process to set up your ChatgPT preparation:

1. Go to Openai and register for the API key.

2. Prepare an environment for API calls. Python is the perfect choice for this, but there are alternatives, such as node.js.

3. Write a basic text to communicate with ChatGPT using the API key. Here is a Bethonian text that you may find useful to integrate Openai’s capabilities into Python. (Note that this only aims at an acting example to explain Openai’s integration and not to look at it as a financial advice.)

Step 3: Merging the source of cryptocurrency data

With your Chatgpt counter preparation, it’s time to complete the other part of the puzzle, that is, the source of the cryptocurrency data. There are many places to be seen, and many applications programming interfaces can help in the information required for this step.

Examples include Coingecko, Coinmarketcap and CryptocCOSPARE. Do your search on these options and choose one that fits your requirements. Once you make your choice, choose one that fits your requirements and integrates it with a ChatgPt counterpart as part of step 2.

For example, if you decide to use the API Coinmarketcap, the next code will get the latest price for Bitcoin, which may be traded as part of your encryption portfolio.

Step 4: Combining ChatGPT and Crypto data

You have done the difficult thing, and given that you now have the possibility of AI (ChatGPT) and the codarketcap in this example), you are ready to create a encryption portfolio follower. To do this, you can take advantage of fast engineering to take advantage of the Chatgpt intelligence to order data and create visions.

For example, if you want to repeat your tracking device as a summary of the desired currency prices, it is summarized as part of the visualization data, consider writing the following code:

=====================================================================

Bethon

# Set your Openai API key

Client = openai (API_KEY = openai_API_KEY)

Messages = (

{“The role”: “The System”, “Content”: “You are an expert market analyst with experience in encrypted currency trends.”,

{“The Role”: “User”, “Content”: F ”given that the current price of {Symbol} is $ {price:.

))

Trying:

Response = client.Chat.completes.create (

Form = “GPT-4O-MINI”,

Messages = messages,

max_tokens = 100,

Temperature = 0.7

))

Comment

Return the comment

Except for the exception as e:

Print (F “error in getting a comment for {symbol}: {e}))

Return “No Comment available.”

Def Build_crypto_dataframe (cmc_API_KEY: Str, Openai_API_KEY: Str, Codes: List, Convert: Str = “USD”) -> pd.dataframe:

Records = ()

# Patch the existing Datetime once for consistency across all queries.

Current_timestamp = datetime.now (). Strftime (” % Y- % M- % D % H: % M: % S”)

For symbols in symbols:

Price = Get_crypto_price (cmc_API_KEY, icon, conversion)

If the price is nothing:

Comment = “No comment is available due to the price recovery error.”

last:

Comment

Records.app ({

“Symbol”: the symbol,

“Price”: Price,

History: Current_Timestamp,

“Market Comment”: Comment

}))

DF = pd.dataframe (records)

DF return

# Example use:

If __ _name__ == ‘__main__’:

# Replace the actual API switches.

CMC_API_KEY = ‘Your_API_KEY’

Openai_API_KEY = ‘Your_API_KEY’

# Determine the encrypted currencies of interest.

Crypto_symbols = (“” BTC “,” ETH “,” XRP “)

# Building data frame that contains price and suspension.

Crypto_df = Build_crypto_Dataframe (cmc_API_KEY, openai_API_KEY, Crypto_symbols)

# Print the resulting data data.

Crypto_df print

“

=====================================================================

The above part of the code takes three cryptocurrencies in your wallet – Bitcoin (BTC), ETHER (ETH) and XRP (XRP), and API ChatGPT is used to get the current price in the market as shown in the CoinMarketca data source. It organizes the results in a schedule with the suspension of the market created from artificial intelligence, which provides a direct way to monitor your portfolio and evaluate the market conditions.

Step 5: Developing additional features

You can now improve your follower by adding more jobs or including attractive perceptions. For example, keep in mind:

• Alerts: Prepare e -mail alerts or SMS for major prices.

• Performance analysis: Follow the performance of a wallet over time and provide visions.

• Perceptions: Merging historical data to perceive price trends. For a smart investor, this can help determine the main transformation in the next market.

Step 6: Create a user interface

To make your encryption portfolio easy to use, it is advisable to develop a web or a portable interface. Again, Python business frameworks such as Flask, Streplelit or Django can help increase simple but intuitive web applications, with alternatives such as React Native or FLTER with mobile applications. Regardless of the choice, simplicity is the key.

Do you know? Flask provides lightweight flexibility, simplifying simplification of data perception, and Django provides a strong and safe background. All are useful for construction tools to track prices and market trends!

Step 7: Test and Publishing

Ensure that you are tested completely to ensure accuracy and reliability. Once tested, post it on a server or cloud platform like AWS or Heroku. Monitor the benefit of the follower over time and adjust the features as desired.

Merging artificial intelligence with cryptocurrencies can help track your wallet. It allows you to create a custom tracker with market visions to manage encryption holdings. However, consider the risks: artificial intelligence predictions may be inaccurate, API data may be delayed and excessive dependence on decisions. Go ahead with caution.

The happy trading in which artificial intelligence works!