English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 66 Lessons (5h 18m) | 2.33 GB
Master No-Code Algorithmic Trading with ChatGPT: Build, Test, and Automate Your Crypto Trading Bots on Binance
Welcome to the most comprehensive no-code Algorithmic Trading Course! Master the art of automated trading with ChatGPT, Python, and Machine Learning!
Did you know that many retail traders face challenges when navigating the complexities of cryptocurrency trading? This course is designed to empower you with comprehensive knowledge and practical skills to build, test, and automate your own trading bots, enhanced with machine learning techniques—all without needing to write a single line of code. You’ll gain a deep understanding of algorithmic trading, machine learning, and data analysis, equipping you with the expertise needed to navigate the markets confidently and effectively.
This course focuses on learning and mastery, ensuring you acquire the foundational and advanced skills necessary to thrive in the evolving world of automated trading.
What You’ll Learn:
Understanding Algorithmic Trading, Machine Learning, and Cryptocurrency: Gain a solid foundation in algorithmic trading principles, machine learning basics, and cryptocurrency market dynamics. Learn key terminologies and the importance of automation and machine learning in trading.
Setting Up Your Development Environment: Get hands-on guidance on preparing your system for algorithmic trading. Learn how to install Python and essential libraries, connect to the Binance cryptocurrency exchange, and prepare for integrating machine learning models.
Harnessing the Power of ChatGPT: Discover how ChatGPT can assist you in coding, debugging, and optimizing trading algorithms and machine learning models. Learn effective prompting techniques and navigate the ChatGPT portal with ease.
Trading Basics and Concepts: Understand the core principles of trading, including investing vs. trading, spot vs. futures trading, candlestick charts, and different types of orders such as limit, market, stop loss, and take profit.
Data Acquisition and Preparation: Learn to fetch and preprocess real-time and historical data, clean it, and prepare it for analysis. Visualize your data to gain valuable trading insights and prepare it for machine learning applications.
Developing Basic Trading Strategies: Dive into fundamental trading strategies, including Moving Averages (EMAs), Relative Strength Index (RSI) strategies, and learn how to implement these strategies with the help of ChatGPT.
Building and Implementing Trading Bots: Get step-by-step guidance on building your first trading bot, implementing various trading strategies, and coding them into your bot using ChatGPT. Enhance your bots with machine learning models to improve decision-making and strategy performance.
Machine Learning for Trading: Understand the basics of machine learning and how to apply it to trading. Learn to build, train, and evaluate machine learning models that can predict market trends and optimize trading strategies.
Advanced Strategies for Spot and Futures Trading: Learn to develop and implement advanced trading strategies for both spot and futures markets, with detailed coding instructions and machine learning integrations.
Why This Course is Unique:
- No Coding Required: Leverage the power of ChatGPT to handle all the coding tasks, making this course accessible to anyone, regardless of their programming experience.
- Machine Learning Integration: Uniquely combine algorithmic trading with machine learning to create more robust and adaptive trading strategies.
- Comprehensive and Practical: Covering everything from the basics to advanced trading and machine learning strategies, this course provides practical, hands-on experience in building and automating trading bots.
- Expert Guidance: Learn from an experienced finance professional and data scientist, ensuring you get top-quality education and insights.
- Robust Trading Infrastructure: Learn to set up a secure and reliable trading infrastructure using cloud services, ensuring your trading bots and machine learning models run efficiently and effectively.
By the end of this course, you’ll have the skills and confidence to build, optimize, and deploy your own trading bots and machine learning models, all with the support of ChatGPT. Don’t miss this opportunity to revolutionize your trading experience!
What are you waiting for? Join now and take the first step towards mastering algorithmic trading with ChatGPT, Python, and Machine Learning.
Thanks, and looking forward to seeing you in the course!
Who this course is for:
- New Traders: Those venturing into cryptocurrency trading seeking to harness trading without delving into intricate coding.
- Crypto Fans: Enthusiasts with a grasp of cryptocurrencies and blockchain technology aiming to elevate their trading strategies through automation.
- Python Novices: Individuals with Python knowledge eager to witness practical applications in finance and trading sectors guided by ChatGPT.
- Financial Experts: Professionals in finance, investment, or related fields seeking to enhance their expertise in trading and automation.
- Tech-Savvy Investors: Investors intrigued by technology and innovation looking to blend AI and trading for optimized investment strategies.
- Scholars: Those pursuing studies in finance, economics, computer science, or related fields intrigued by the real-world implications of trading.
- DIY Enthusiasts: Hobbyists who enjoy exploring new technologies and wish to delve into AI-powered trading bots.
- Innovators: Individuals aiming to create automated trading systems for business purposes within the financial technology sector.
- Aspiring and experienced traders looking to automate their trading strategies using Machine Learning and ChatGPT.
Table of Contents
Introduction to Algorithmic Trading and Cryptocurrency
1 Welcome and Course Overview
2 Introduction to Algorithmic Trading
3 Basics of Cryptocurrency Markets
4 Overview of Python for Trading
5 All Python scripts used in the course
Setting Up the Development Environment
6 Installing Python and Essential Libraries
7 Connecting to Cryptocurrency Exchange
8 Connecting to Other Cryptocurrency Exchanges (KuCoin, etc.)
9 Join Telegram Community
10 Join my Telegram Channel! Stay updated with the latest news, tips, and more
Getting Started with ChatGPT
11 Introduction to ChatGPT and Prompting Basics
12 Signing Up for ChatGPT
13 Navigating the ChatGPT Portal
Effective chatGPT Prompting for Algo trading
14 Getting the Best Out of ChatGPT
15 Crafting Precise Prompts
16 Advanced Prompt Structuring – Leveraging Context and Instructions
17 Dynamic Prompting – Adapting to Different Trading Scenarios
Custom GPTs
18 Creating custom GPTs
19 Exploring Algo Trade Architect GPT
20 UPDATE – Custom GPT Monetized
21 UPDATE – Algo Trade Architect 25th may, 2025
Trading Basics and Concepts
22 Investing vs. Trading
23 Spot vs. Futures Trading
24 Candlestick Charts
25 Limit and Market Orders
26 Stop Loss and Take Profit
Data Acquisition and Preparation
27 Introduction to Data Sources and Fetching Real-Time Data
28 Fetching Historical Data
29 Cleaning and Preprocessing Data
30 Plotting Data for Analysis
Basic Trading Strategies
31 Introduction to Trading Strategies
32 Moving Averages (EMAs) Strategy
33 RSI Strategy
Building The BOT (First Strategy)
34 The Road Ahead
35 Our Trading Strategy
36 Implementing the Trading Strategy in TradingClass (Part 1)
37 Implementing the Trading Strategy in TradingClass (Part 2)
38 Implementing the Trading Strategy in TradingClass (Part 3)
39 Implementing the Trading Strategy in TradingClass (Part 4)
40 Implementing the Trading Strategy in TradingClass (Part 5)
41 Implementing the Trading Strategy in TradingClass (Part 6)
Building The BOT (Second Strategy)
42 Introduction to New Strategy
43 Implementing the Trading Strategy in TopGainers (Part 1)
44 Implementing the Trading Strategy in TopGainers (Part 2)
45 Implementing the Trading Strategy in TopGainers (Part 3)
46 Finalizing the Trading Strategy TopGainers (Part 4)
Backtesting Strategies
47 Backtesting Mean Reversion Strategy
48 Backtesting MACD Crossover Strategy
49 Backtesting ROC Strategy
Deploying your BOT (AWS)
50 Introduction to GitHub & Sign Up
51 Basic Github and Linux Commands
52 Introduction to AWS Cloud
53 Creating an AWS Account and Setting up EC2 Instance
54 Running the bot in Cloud
Machine Learning for Trading
55 Introduction to Machine Learning in Finance
56 Supervised Learning for Trading
57 Time Series Analysis for Trading
58 Model Evaluation and Optimization
Creating an Algorithmic Trading Strategy Using ML
59 The Strategy Explained
60 Building Our ML Trading BOT (Part 1)
61 Building Our ML Trading BOT (Part 2)
62 Building Our ML Trading BOT (Part 3)
63 Building Our ML Trading BOT (Part 4)
64 Building Our ML Trading BOT (Part 5)
65 Bringing It All Together – Running Our Complete ML Trading BOT
66 What’s Next
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