Perfect Crypto: Python, Binance API, Tradingview + Backtest

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Mahdi Behdani

2:37:36

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1 - Introduction

1 - Introduction.mp4

01:12

2 - Connecting to Binance API.mp4

06:58

2 - Cryptocurrency data retrieval organization and analysis

3 - PythonPowered Data Mastery Streamlining Cryptocurrency Analysis.mp4

03:19

4 - Organizing raw data and Saving in an Excel File.mp4

06:46

5 - Simplifying Cryptocurrency Data Management.mp4

04:49

6 - Retrieving-Crypto-Price-Information.zip

6 - Review of the Price Retrieving Process.mp4

02:07

3 - Plotting the Price Data Including Candlestick Charts

7 - Price Data Charts.mp4

05:26

8 - CandleStick Charts.mp4

07:54

4 - Technical Indicators Calculating Plotting and Analysis

9 - Calculating Technical Indicators SMA as First Example.mp4

03:48

10 - Indicators Plotting.mp4

05:57

10 - Multi-SMA-Indicators-Plotting.zip

11 - List of Popular Indicators.mp4

02:57

12 - RSI Indicator Calculation.mp4

04:05

13 - RSI Indicators Strategy.mp4

09:13

14 - MACD Details Calculation.mp4

05:54

15 - MACD Details Strategy.mp4

09:24

5 - Calculating Plotting and Using Ichimoku Indicator Advanced

16 - Ichimoku Create Future Datetimes.mp4

09:29

17 - Ichimoku Calculate Lines.mp4

07:02

18 - Ichimoku Plot Ichimoku Clouds and Lines.mp4

13:10

19 - Ichimoku Analysis.mp4

08:44

19 - Ichimoku-Integrated-Code.zip

6 - TradingView & Python Trading Suggestions

20 - Trading Suggestions Using the TradingView Python Package.mp4

07:52

21 - Advanced Crypto Filtering Live Filtering Based on the Common Indicators.mp4

10:46

21 - How-to-Use-the-TradingView-Python-Package.zip

7 - Backtesting and Evaluating Trading Strategies

22 - Backtesting & Python Evaluate Your Trading Strategies.mp4

16:49

22 - Backtesting-Notebook.zip

23 - Details of Backtest Results.mp4

03:55

Description

Python Cryptocurrency Technical Analytics; Perfect Charts, Indicators: RSI, MACD, and Ichimoku; Strategies Backtest

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

Who is this 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.

What You Need to Know?

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

More details

Description
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 â€“ 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 â€“ 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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Mahdi Behdani PhD Candidate | University of TorontoMahdi Behdani is a PhD candidate at the University of Toronto, currently pursuing advanced research in Engineering. With a strong passion for education and a commitment to sharing knowledge, Mahdi Behdani has embarked on a journey to teach and inspire others on Udemy.With a deep understanding of Python programming, Mahdi Behdani brings expertise in this versatile language to students eager to learn. Beyond programming, their proficiency extends to the intricate world of engineering, where they have honed their skills and knowledge through rigorous academic training and practical application.Furthermore, Mahdi Behdani possesses a unique specialization in algorithmic trading, a field at the intersection of finance and technology. Their in-depth understanding of trading strategies, quantitative analysis, and algorithm development equips students with valuable insights into the world of financial markets.As an educator on Udemy, Mahdi Behdani is dedicated to demystifying complex concepts, making them accessible and engaging for learners of all backgrounds. With their blend of academic rigor and practical experience, Mahdi Behdani is poised to guide students on a rewarding educational journey, helping them unlock new possibilities in the realms of Python programming, engineering, and algorithmic trading. Join Mahdi Behdani on Udemy to embark on a transformative learning experience today.

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