Binance API: Visualizing Data with Real Time Chart

Explore building three projects to track real-time cryptocurrency price data with the Binance API, visualize it with Matplotlib in Python, and display top performers over the past 24 hours.

Explore tools and the Binance API with Python 3.x and Matplotlib to visualize data as charts. Choose Google Colab or a local IDE to run your project.

Discover Binance as a leading centralized exchange with 357 coins and 1414 pairs, and learn about Binance Smart Chain's low gas fees and strong data security.

Compare centralized and decentralized exchanges, highlighting private key custody, liquidity, and transaction speed, with examples such as Binance, Coinbase, KuCoin and PancakeSwap, Uniswap, SushiSwap.

Access the Binance API to gain full data access, using a free bridge between your program and Binance data for real-time updates and visualization.

Explore how the Binance API connects your app to the Binance ecosystem to request and receive real-time price data, using an API key as a secure access door.

Set up Google Colab as your IDE, log in with your Gmail to create a new notebook, and learn block-based testing and file renaming for Binance API work.

Learn how to sign up for a Binance account, verify your email, and complete KYC with ID to unlock trading and access the API key.

Generate your Binance API key via API management in the user center, label it clearly, and protect your secret key while exploring language options and the official API documentation.

Master Python basics: data types (string, integer, float, boolean), type conversions, and type checks. Learn user input, functions with parameters, and Matplotlib fundamentals for real-time charts.

Practice Python data types—strings, integers, floats, and booleans—through hands-on coding in Colab or an IDE, including variable assignment, type checks, and simple conversions.

Learn to get user data, store it in variables, and print a welcome message from a string input. Build a calculator using price and tax inputs, converting percentage to decimal.

Learn to define python functions with parameters using def and return, test calculations, and compute volume from width, length, and height with centimeter units.

Learn to visualize Ethereum price data over a week using Matplotlib, plotting days on the x-axis with price on the y-axis, labeling axes and adding a chart title.

Learn which countries Binance supports and how to access the Binance API by setting your IP to a supported location, using a VPN when needed to view real-time chart data.

Learn to set up a Python project, install Binance Connector, and import libraries to read crypto price data from Binance API using pandas, then explore the resulting data frame.

Create a check price function that takes coin one and coin two to form a pair, fetch its price from the Binance API, and print the data.

Learn to build a main menu function that prompts for two cryptocurrency coins, passes them to a data retrieval function, and prepares data visualization with real-time charts.

Learn to build a function that generates real-time candlestick charts from Binance data by installing the Binance Connector, preparing data history, and plotting with a candlestick chart.

Create a main menu function that prompts for the cryptocurrency pair, interval in hours, and a limit. Generate a real-time Binance chart using plotly and matplotlib.

Track the best performing cryptocurrencies by analyzing 24-hour price change percent, build a data frame of top gainers, and sort by price change percent for clear ranking.