Crypto Indicators: Python, Binance, & Tradingview + Backtest

4 Min Read

What you’ll learn

  • Real-time Price Data Access: Learn to access Binance Exchange API using Python, organize data systematically for cryptocurrency analysis.
  • Real-World Application: Apply learned skills to analyze live market data, making informed decisions for profitable trading.
  • Interactive Plotting Mastery: Learn to create dynamic and insightful plots, visualizing cryptocurrency data for effective analysis.
  • Implement Indicators: Master Python to implement key indicators (SMA, RSI, MACD, …) for precise cryptocurrency analysis.
  • Diverse Cryptocurrency Analysis: Explore multiple cryptocurrencies, analyze trends across various time frames using Python for comprehensive insights.
  • Ichimoku as Advanced Example: Calculate, plot, and analyze the Ichimoku clouds and lines Using Python
  • Using the TradingView Python Package to Retrieve the Trading Signals
  • Backtesting and Evaluating the Trading Strategies Using Python


  • This course welcomes beginners, providing a step-by-step guide to Python and cryptocurrency analysis, ensuring accessibility for all learners.


Unlock the secrets of cryptocurrency trading with our comprehensive Udemy course, ‘Common Indicators for Cryptocurrencies Trading with Python.’ Whether you’re a beginner or an experienced trader, this course is designed to equip you with the knowledge and skills needed to succeed in the fast-paced world of crypto markets.

First, you’ll learn how to connect to the Binance API and retrieve historical price data, laying the foundation for informed trading decisions. We’ll guide you through organizing raw data efficiently, enabling you to extract valuable insights effectively.

Next, we’ll delve into technical analysis, teaching you how to plot price charts using close prices and candlestick patterns. You’ll master the calculation and interpretation of common indicators like Simple Moving Average (SMA), Relative Strength Index (RSI), and Moving Average Convergence Divergence (MACD). These indicators will empower you to identify trends, gauge market momentum, and time your trades strategically.

But that’s not all – we’ll take your analysis to the next level by introducing you to advanced techniques. You’ll learn how to calculate and plot the Ichimoku Cloud, a powerful tool for assessing market direction and potential support/resistance levels. With our step-by-step guidance, you’ll gain the confidence to integrate Ichimoku analysis into your trading strategy effectively.

Furthermore, this course will demonstrate the seamless integration of TradingView with Python, allowing you to harness the power of this versatile platform for in-depth analysis. You’ll discover how to leverage TradingView’s extensive library of indicators and tools to enhance your trading decisions further.

Throughout the course, we’ll also provide valuable data science hints, highlighting the analytical methods and best practices essential for mastering cryptocurrency trading. By the end of the course, you’ll have a comprehensive understanding of Binance API integration, data analysis techniques, and advanced indicators – arming you with the tools you need to navigate the crypto markets with confidence. Enroll now and take the first step towards becoming a successful cryptocurrency trader!

Who this course is for:

  • Python Enthusiasts: Individuals with a keen interest in Python programming looking to apply their skills to cryptocurrency analysis.
  • Cryptocurrency Enthusiasts: Anyone passionate about cryptocurrencies seeking practical insights and analysis techniques.
  • Traders and Investors: Those involved in or interested in cryptocurrency trading and investing, looking to enhance their analytical capabilities.
  • Developers and Data Analysts: Professionals in the development or data analysis fields aiming to expand their expertise into the cryptocurrency domain.
  • Beginners in Cryptocurrency: Individuals new to both Python and cryptocurrencies, eager to learn and apply analytical tools for informed decision-making.
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