Chart Technical Analysis Practical Trading Techniques Part 4. Winning Trading Using 'Auxiliary Indicators' B

You can understand it by linking basic knowledge including price and trading volume with auxiliary indicators.

Learn theory and practice real trading at the same time through INVEST CRYPTO Academy's exclusive 'Trading Simulation' lecture!

Learn theory and practice real trading at the same time through INVEST CRYPTO Academy's exclusive 'Trading Simulation' lecture!

Learn theory and practice real trading at the same time through INVEST CRYPTO Academy's exclusive 'Trading Simulation' lecture!

You can understand it by linking basic knowledge including price and trading volume with auxiliary indicators.

Learn theory and practice real trading at the same time through INVEST CRYPTO Academy's exclusive 'Trading Simulation' lecture!

The fact that you can analyze data more easily and effectively with Python Pandas instead of Excel! Learn the basic functions of the Pandas library and how to use it in practice through financial data analysis.

"Why does my automated trading collapse in a bear market?" I have also deeply pondered this same question. Most automated trading logics on the market seem to generate profits during a bull market, but they lose their ability to respond the moment the market sentiment changes. To solve this problem, I have combined the know-how I researched myself over the past two years with the latest AI technology. In this course, you will learn how to directly design a 'Transformer-based deep learning model' that simultaneously reads macroeconomic trends and individual stock flows, and how to automatically train and deploy it in a free GPU environment. In particular, we will introduce sophisticated data normalization techniques at the hedge fund level to build an 'Intelligent Comprehensive Scoring System' that goes beyond simple indicators to incorporate news sentiment. To this, we add an 'AI Safety Gate' that implants the insight of a trader with 20 years of experience on Wall Street, adding a final layer of confidence from a human trader's perspective right before a purchase. Beyond simple buying and selling functions, you will directly implement the entire process of an institutional-grade algorithmic system by adding dynamic take-profit and stop-loss logic, eight self-recovery mechanisms, and real-time Slack reports.

Do you want to create a tool that can help you with your real-world investments using Python? In this course, you will learn how to create an interactive web dashboard for financial data analysis for intermediate Python users and learn about pair trading strategies for in-depth quantitative work. We hope that you will be able to create your own useful analysis tools to help you analyze financial data more powerfully and make wise investment decisions.

This course covers the process of automating algorithmic trading in local and cloud environments, and focuses on hands-on practice.

This is a course for beginners in stock data analysis. Get started with stock data analysis using Python!