01. Introduction

AI For Trading C1 L1 A01 Introduction V2

Building a Workflow for AI: Lesson Overview

Purpose

  • Develop foundational skills in trading algorithms using AI.
  • Enhance decision-making in financial markets.

Instructor

  • Metin: 10 years in data science and quantitative analysis within the investment industry.
  • Experience with major financial institutions and teaching machine learning for five years.

Learning Objectives

  • Understand core concepts linking data analysis with AI trading.
  • Focus on both theoretical knowledge and practical skills.

Key Focus Areas

  1. Data Preparation
    • Cleaning, pre-processing, and structuring datasets.
    • Importance of well-prepared data for successful AI projects.
  2. Algorithm Development
    • Evaluating trading strategies against benchmarks.
    • Building AI-powered trading models.

Practical Approach

  • Hands-on coding in Python using Jupyter Notebooks.
  • Focus on stock investments, adaptable to various asset classes.

Course Setup

  • Interactive and comprehensive learning experience.
  • Practical applications alongside theoretical backgrounds.

Goal

  • Equip learners with the necessary tools and knowledge for advancing in AI-driven trading.

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