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Home Cryptocurrency

How to build a personalized crypto portfolio tracker using ChatGPT

n70products by n70products
April 10, 2025
in Cryptocurrency
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How to build a personalized crypto portfolio tracker using ChatGPT
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Key takeaways

  • AI instruments like ChatGPT may also help each skilled and new crypto buyers observe portfolios with ease, releasing up time for different funding actions and making the method extra accessible.

  • Defining particular necessities, reminiscent of which cryptocurrencies to trace and the specified knowledge factors, is important for constructing an efficient portfolio tracker tailor-made to your funding targets.

  • By combining ChatGPT with real-time crypto knowledge from APIs like CoinMarketCap, you possibly can generate useful market commentary and evaluation, offering deeper insights into your portfolio efficiency.Creating further options like worth alerts, efficiency evaluation and a user-friendly interface could make your tracker extra useful, serving to you keep forward of market developments and handle your crypto investments extra successfully.

In case you’re a cryptocurrency investor, you’ve clearly bought a powerful urge for food for danger! Cryptocurrency portfolios contain many immersive levels, from desktop analysis on the profitability of cryptocurrencies to actively buying and selling crypto to monitoring rules. Managing a portfolio of cryptocurrencies could be advanced and time-consuming, even for savvy buyers. 

Conversely, for those who’re a beginner on the planet of cryptocurrencies and need to set your self up for achievement, chances are you’ll be postpone by the complexity of all of it. 

The excellent news is that artificial intelligence (AI) affords useful instruments for the crypto business, serving to you simplify portfolio monitoring and evaluation when utilized successfully. 

As an skilled crypto investor, this may also help release your useful time to deal with different actions in your funding lifecycle. In case you’re a brand new investor, AI may also help you are taking that all-important first step. Learn on to see how AI, and particularly, ChatGPT, may also help you construct a custom-made portfolio tracker.

To start with, what’s it? 

Let’s discover out.

What’s ChatGPT?

ChatGPT is a conversational AI model that may ship numerous duties utilizing user-defined prompts — together with knowledge retrieval, evaluation and visualizations. 

The GPT stands for “Generative Pre-trained Transformer,” which references the truth that it’s a giant language mannequin extensively skilled on copious quantities of textual content from various sources throughout the web and designed to know context and ship actionable outcomes for end-users. 

The intelligence of ChatGPT makes it a strong useful resource for constructing a crypto portfolio tracker particularly geared towards your funding profile and targets.

Let’s learn to construct a customized portfolio tracker with ChatGPT.

Step 1: Outline your necessities

Technical specifics however, it’s essential to first outline what you anticipate out of your crypto portfolio tracker. For instance, think about the next questions:

  • What cryptocurrencies will you observe? 

  • What’s your funding strategy? Are you trying to actively day commerce cryptocurrencies or are you trying to “purchase and maintain” them for the long run?

  • What are the information factors you want to compile for the tracker? These could embody however are usually not restricted to cost, market cap, quantity and even information summaries from the net that would materially alter your funding choices.

  • What precisely do you want the tracker to ship for you? Actual-time updates? Periodic summaries? Maybe a mix of each?

  • What would you like the output to seem like? Alerts, efficiency evaluation, historic knowledge or one thing else?

Upon getting a transparent understanding of your necessities, you possibly can move on to the next steps. It’s best observe to put in writing down your necessities in a consolidated specs doc so you possibly can preserve refining them later if required.

Step 2: Arrange a ChatGPT occasion

That is the enjoyable bit! Properly, it’s for those who get pleasure from geeking out on code. Do not forget that ChatGPT is a big language mannequin with an enormous quantity of intelligence sitting beneath it. 

Utilizing ChatGPT successfully subsequently requires you to have the ability to entry the underlying mannequin, which you are able to do through an Software Program Interface, or API. 

The corporate that owns ChatGPT — OpenAI — supplies API entry to the device you possibly can make the most of to construct your tracker. It’s easier than you would possibly suppose. You need to use a primary three-step course of to arrange your personal ChatGPT occasion:

  1. Navigate to OpenAI and join an API key.

  2. Arrange an surroundings to make API calls. Python is a perfect selection for this, however there are options, reminiscent of Node.js.

  3. Write a primary script to speak with ChatGPT utilizing the API key. Right here’s a Pythonic script that you could be discover helpful for incorporating OpenAI capabilities into Python. (Be aware that that is solely supposed as a consultant instance to clarify OpenAI integration and to not be seen as monetary recommendation.)

Basic script to communicate with ChatGPT using the API key

Step 3: Combine a cryptocurrency knowledge supply

Together with your ChatGPT occasion arrange, it’s time to full the opposite a part of the puzzle, particularly, your cryptocurrency knowledge supply. There are various locations to look, and a number of other APIs may also help with the knowledge required for this step. 

Examples embody CoinGecko, CoinMarketCap and CryptoCompare. Do your analysis on these choices and select one that matches your necessities. When you’ve made your selection, select one that matches your necessities and combine it with the ChatGPT occasion you spun up as a part of Step 2. 

For instance, for those who resolve to make use of the CoinMarketCap API, the next code will get you the newest worth of Bitcoin, which you will be buying and selling as a part of your crypto portfolio. 

Python code to get the latest price of Bitcoin using CoinMarketCap API key
BTC price fetched with Python code

Step 4: Mix ChatGPT and crypto knowledge

You’ve performed the onerous bit, and given that you just now have each an AI functionality (ChatGPT) and a cryptocurrency knowledge supply (CoinMarketCap on this instance), you might be able to construct a crypto portfolio tracker. To do that, you possibly can leverage immediate engineering to faucet into ChatGPT’s intelligence to request knowledge and generate insights.

For instance, if you would like your tracker to return a abstract of cryptocurrency costs at a desired time, summarized in a knowledge body for visualization, think about writing the next code:

“`python    # Set your OpenAI API key    consumer = OpenAI(api_key=openai_api_key)    messages = [        {“role”: “system”, “content”: “You are an expert market analyst with expertise in cryptocurrency trends.”},        {“role”: “user”, “content”: f”Given that the current price of {symbol} is ${price:.2f} as of {date}, provide a concise commentary on the market status, including a recommendation.”}    ]    attempt:        response = consumer.chat.completions.create(            mannequin=”gpt-4o-mini”,            messages=messages,            max_tokens=100,            temperature=0.7        )        commentary = response.selections[0].message.content material        return commentary    besides Exception as e:        print(f”Error acquiring commentary for {image}: {e}”)        return “No commentary obtainable.”def build_crypto_dataframe(cmc_api_key: str, openai_api_key: str, symbols: checklist, convert: str = “USD”) -> pd.DataFrame:    information = []    # Seize the present datetime as soon as for consistency throughout all queries.    current_timestamp = datetime.now().strftime(“%Y-%m-%d %H:%M:%S”)    for image in symbols:        worth = get_crypto_price(cmc_api_key, image, convert)        if worth is None:            commentary = “No commentary obtainable resulting from error retrieving worth.”        else:            commentary = get_openai_commentary(openai_api_key, image, worth, current_timestamp)        information.append({            “Image”: image,            “Worth”: worth,            “Date”: current_timestamp,            “Market Commentary”: commentary        })    df = pd.DataFrame(information)    return df# Instance utilization:if __name__ == ‘__main__’:    # Substitute together with your precise API keys.    cmc_api_key = ‘YOUR_API_KEY’    openai_api_key = ‘YOUR_API_KEY’    # Specify the cryptocurrencies of curiosity.    crypto_symbols = [“BTC”, “ETH”, “XRP”]    # Construct the information body containing worth and commentary.    crypto_df = build_crypto_dataframe(cmc_api_key, openai_api_key, crypto_symbols)    # Print the ensuing dataframe.    print(crypto_df)

The above piece of code takes three cryptocurrencies in your portfolio — Bitcoin (BTC), Ether (ETH) and XRP (XRP), and makes use of the ChatGPT API to get the present worth out there as seen within the CoinMarketCap knowledge supply. It organizes the leads to a desk with AI-generated market commentary, offering a simple method to monitor your portfolio and assess market circumstances.

Cryptocurrency price summary with market commentary

Step 5: Develop further options

Now you can improve your tracker by including extra performance or together with interesting visualizations. For instance, think about:

  • Alerts: Arrange electronic mail or SMS alerts for vital worth adjustments.

  • Efficiency evaluation: Observe portfolio efficiency over time and supply insights. 

  • Visualizations: Combine historic knowledge to visualise developments in costs. For the savvy investor, this may also help establish the subsequent main market shift.

Step 6: Create a person interface

To make your crypto portfolio tracker user-friendly, it’s advisable to develop an internet or cellular interface. Once more, Python frameworks like Flask, Streamlit or Django may also help spin up easy however intuitive net functions, with options reminiscent of React Native or Flutter serving to with cellular apps. No matter selection, simplicity is vital.

Do you know? Flask affords light-weight flexibility, Streamlit simplifies knowledge visualization and Django supplies strong, safe backends. All are useful for constructing instruments to trace costs and market developments!

Step 7: Check and deploy

Just be sure you totally take a look at your tracker to make sure accuracy and reliability. As soon as examined, deploy it to a server or cloud platform like AWS or Heroku. Monitor the usefulness of the tracker over time and tweak the options as desired. 

The mixing of AI with cryptocurrencies may also help observe your portfolio. It permits you to construct a custom-made tracker with market insights to handle your crypto holdings. Nevertheless, consider risks: AI predictions could also be inaccurate, API knowledge can lag and over-reliance would possibly skew choices. Proceed cautiously.

Glad AI-powered buying and selling! 



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