
Learn a no-code approach to algorithmic trading using ChatGPT and machine learning, building customized strategies, connecting to multiple exchanges, and deploying bots on AWS with GitHub collaboration.
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ChatGPT, an OpenAI language model, helps with coding, debugging, back testing, and trading ideas, while prompting basics teach you to craft precise, context-rich prompts.
Navigate the ChatGPT portal to explore the dashboard, start new chats, view history, and use prompts and starters to test capabilities. Adjust settings for a tailored trading bot experience.
Learn to craft precise prompts for algorithmic trading with ChatGPT, focusing on specificity, context, and scope to reduce ambiguity, save time, and improve accuracy in trading insights.
Master advanced prompt structuring by leveraging context and clear instructions to elicit accurate, actionable responses from ChatGPT for building a powerful algorithmic trading bot.
Create a custom GPT specialized in algorithmic trading using a conversational builder, fine-tune tone and instructions, enable advanced features, and publish it for market analysis and automated trading.
Explore Algo Trade Architect to generate a Python class for an algo trading bot using Csxt library, with data fetching, order execution, stop-loss, and error handling for KuCoin and Binance.
Learn to read candlestick charts by analyzing open, high, low, and close prices, recognize hammer, shooting star, and doji patterns, and identify entry and exit points across trends.
Explore reliable data sources for algorithmic trading, including real-time data from Binance and historical data via Yfinance, and use Csxt to fetch live prices.
Fetch historical ohlcv data for btc-usd using yfinance, from January 1, 2021 to January 1, 2023, with daily candlestick data and timestamp conversion for backtesting.
Load historical data into a pandas dataframe using yfinance for AAPL. Clean and preprocess by handling missing values, removing duplicates, and ensuring numeric data types for reliable trading bots.
Fetch Bitcoin historical data with yfinance, plot closing prices and daily returns, and visualize volatility to inform trading decisions using Python.
Implement a moving averages EMA crossover strategy for Bitcoin with Python and yfinance, computing 50-day and 200-day EMAs, generating buy signals on crossovers and reporting total return and Sharpe ratio.
Backtest strategies with historical data and practice in a demo account to manage risk, stay updated on market trends, and apply risk management principles in crypto trading.
Implement the trading strategy by building a Python trading class that initializes with API key, API secret, leverage, balance, stop loss, take profit, and connects to Binance futures via Csxt.
Enhance your trading class by adding methods to fetch Binance account balance with Csxt and retrieve candlestick data, enabling you to manage investments and implement your trading strategy.
Extend the trading class to check candlestick patterns from the last two candles, including color green or red and volume vs the five-candle average, then place leveraged market orders.
Extend the trading class to continuously check candlestick patterns every 20 seconds and make parameters configurable, including api keys, leverage, stop loss, take profit, sleep duration, symbol, and time frame.
Introduce a new spot trading strategy targeting tokens that gain 10%+ in 24 hours, with continuous monitoring, immediate purchases, configurable take profit and stop loss, and post-trade cooldown.
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!