Bitcoin dominance charts reveal the hidden story of the cryptocurrency market (feat. Python)

Hello, everyone! Today we're here with a really exciting topic: the Bitcoin Dominance Chart. Have you ever wondered how much influence Bitcoin has in the cryptocurrency market? If so, this post is for you!

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The Bitcoin Dominance Chart is an important indicator of Bitcoin's share of the overall cryptocurrency market. It allows us to read the market's trends and create investment strategies. But how do you create such a beautiful chart?

Today, we're sharing with you Chart Bitcoin Dominance Directly with Pythonif you're not familiar with coding, don't worry. I'll walk you through it step by step!

So, let's get started.

What is a Bitcoin Dominance Chart?

The Bitcoin Dominance Chart is a graph that shows how important Bitcoin is in the cryptocurrency market. In other words, it's a visual representation of Bitcoin's "share" of the total cryptocurrency market.

This chart is expressed as a percentage (%), which is simple to calculate: divide Bitcoin's market capitalization by the market capitalization of the entire cryptocurrency market and multiply by 100. For example, if Bitcoin's dominance is 501 TP3T, it means that Bitcoin accounts for half of the total cryptocurrency market.

The Bitcoin Dominance chart shows how Bitcoin's dominance changes over time: when it goes up, it means money is flowing into Bitcoin, and when it goes down, it can be a sign that attention is shifting to other cryptocurrencies (altcoins).

Even beginners can use this chart to get a sense of the big picture of the cryptocurrency market: a higher Bitcoin dominance usually means that money flows to safe havens when the market is unstable, while a lower dominance could mean that investors are investing in other coins in hopes of higher returns.

As you can see, the Bitcoin Dominance Chart is a useful tool for understanding the complex cryptocurrency market at a glance.

Cryptocurrency Market Data Delivery Platform: CoinGecko

To plot a Bitcoin dominance chart, you need to import data, and the relevant service is the CoinGeckoat CoinGecko.com. CoinGecko is an important data delivery platform for the cryptocurrency market. Its key features and services include

  1. Comprehensive data tracking: We track over 9,000 cryptocurrencies and 781 exchanges.
  2. Real-time market data: Provides real-time information on prices, market capitalization, volume, and more.
  3. User-friendly interface: Intuitive interface that's easy to use for beginners and experts alike.
  4. API Services: Provides an API for developers to integrate CoinGecko's data into their applications.
  5. Research Reports: Provides in-depth analysis and research reports on the cryptocurrency market.
  6. News aggregator: We've partnered with CryptoPanic to bring you the latest crypto news.
  7. NFT data: Provides data on a collection of over 4,000 NFTs from 11 blockchain networks.
  8. DEX data: GeckoTerminal provides on-chain DEX data for over 2 million coins from 145 blockchain networks.

Through these various services, CoinGecko provides users with comprehensive and reliable information about the cryptocurrency market.

Creating a Bitcoin Dominance Chart in Python

Now we're going to create our own Bitcoin dominance chart using Python code, and I'll walk you through it as we go.

import requests
import pandas as pd
import matplotlib.pyplot as plt
from datetime import datetime

def get_bitcoin_dominance(days=30):
    try:
        # Bitcoin Market Data
        btc_url = "https://api.coingecko.com/api/v3/coins/bitcoin/market_chart"
        btc_params = {
            'vs_currency': 'usd',
            'days': str(days),
            'interval': 'daily'
        }
        btc_response = requests.get(btc_url, params=btc_params, timeout=10)
        btc_response.raise_for_status()
        btc_data = btc_response.json()

        # Global Market Data
        global_url = "https://api.coingecko.com/api/v3/global"
        global_response = requests.get(global_url, timeout=10)
        global_response.raise_for_status()
        global_data = global_response.json()
        total_market_cap = global_data['data']['total_market_cap']['usd']

        # Calculate Dominance
        dominance_data = []
        for btc_point in btc_data['market_caps']:
            date = datetime.fromtimestamp(btc_point[0] / 1000)
            btc_cap = btc_point[1]
            dominance = (btc_cap / total_market_cap) * 100
            dominance_data.append({'date': date, 'dominance': dominance})

        return pd.DataFrame(dominance_data)

    except requests.RequestException as e:
        print(f"API request error: {e}")
        return None
    except Exception as e:
        print(f"Unexpected error: {e}")
        return None

def plot_bitcoin_dominance(df, save_path='bitcoin_dominance_chart.png'):
    return None. if df is None or df.empty:
        print("No data available for plotting")
        return

    try:
        plt.figure(figsize=(12, 6))
        plt.plot(df['date'], df['dominance'], color='orange', linewidth=2)
        plt.title('Bitcoin Market Dominance', fontsize=20, pad=20)
        plt.xlabel('Date', fontsize=14)
        plt.ylabel('Dominance (%)', fontsize=14)
        plt.grid(True, linestyle='--', alpha=0.7)
        plt.gcf().autofmt_xdate()
        plt.tight_layout()
        plt.savefig(save_path, dpi=300, bbox_inches='tight')
        print(f"Chart saved as {save_path}")
        plt.show()

    except Exception as e:
        print(f"Error creating chart: {e}")
    finally:
        plt.close()

def main():
    df = get_bitcoin_dominance(30)
    if df is not None:
        df = df.dropna().sort_values('date')
        plot_bitcoin_dominance(df)

if __name__ == "__main__":
    main()

Code commentary

  1. Import the required libraries.
  2. get_bitcoin_dominance function. This function uses the CoinGecko API to get bitcoin and overall market data.
  3. Get Bitcoin market capitalization data from the API.
  4. Get market capitalization data for the entire cryptocurrency market.
  5. Calculate Bitcoin dominance: (Bitcoin market cap / total market cap * 100)
  6. Convert the calculated data into a pandas DataFrame.
  7. plot_bitcoin_dominance The function uses the calculated data to draw a chart.
  8. Use matplotlib to draw a line graph, set a title and axis labels.
  9. Save the graph to a file and display it on the screen.
  10. main function calls the two functions above to run the entire process.
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What the Bitcoin Dominance Chart Means

Now, we've created a Bitcoin Dominance chart, which allows us to see the evolution of Bitcoin's influence in the cryptocurrency market at a glance.

When Bitcoin dominance increases, the altcoin market generally tends to weaken, and vice versa, when dominance decreases, the altcoin market tends to strengthen. This information can be very helpful in planning your investment strategy.

Finalize

Today we created our own Bitcoin dominance chart using Python. Visualizing data in this way makes it easy to understand complex market conditions. Why not use this code to do your own analysis? You might just discover the hidden story of the cryptocurrency market!

Bitcoin dominance charts are an important tool for crypto investors. They allow you to see the big picture of the market and make better investment decisions. We hope this post has been helpful in your crypto journey.

What will happen to the price of Bitcoin in the future, and can AI predict it? Bitcoin Price Prediction: 2024 Predictions with R and Machine Learning Check out the post to find out!

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