Forex Trading Fundamentals with Python

Day 1: Foundations of Forex Trading

Learning Objectives:

• Understand the fundamental principles of Forex trading.
• Explore the key market participants and their roles.
• Gain familiarity with essential Forex terminology and concepts.
• Install and configure Python for financial market analysis.

Agenda:

• Introduction to Forex Markets and Key Players.
• Forex Trading Fundamentals: Currency pairs, pips, spreads.
• Setting Up Python Environment and Libraries.
• Hands-On Lab: First Python Script for Forex.

Day 2: Data Analysis and Market Strategies

Learning Objectives:

• Develop data manipulation and analysis skills.
• Learn to retrieve and clean Forex market data.
• Understand basic technical indicators and trading strategies.

Agenda:

• Collecting and Cleaning Forex Data.
• Technical Indicators: Moving Averages, RSI, Bollinger Bands.
• Basics of Trading Strategies and Risk Management.
• Hands-On Lab: Plotting Market Trends in Python.

Day 3: Automating Forex Analysis and Trading

Learning Objectives:

• Build Python scripts to automate Forex data analysis.
• Create and backtest simple trading strategies.
• Explore basic algorithmic trading principles.

Agenda:

• Automating Data Retrieval with Python.
• Coding and Backtesting Trading Strategies.
• Basics of Algorithmic Trading Pipelines.
• Hands-On Lab: Backtesting Moving Average Strategy.

Day 4: Advanced Topics and Real-World Applications

Learning Objectives:

• Dive deeper into advanced analysis techniques.
• Explore risk management and performance optimization.
• Understand how to deploy and monitor trading algorithms.

Agenda:

• Advanced Analysis: Intro to Machine Learning for Forex.
• Strategy Optimization and Risk-Reward Ratios.
• Deploying and Monitoring Trading Algorithms.
• Hands-On Lab: End-to-End Trading Pipeline.

Instructor Kit

(PPTX/PDF of Slides + Optional Instructor Notes)
Comprehensive slide deck with detailed content covering all modules, plus optional instructor notes to enhance teaching effectiveness.

Student Kit / Handout

(with Free Branding)
Professionally designed handouts for students, including all essential course information and customizable branding options for your organization.

Course Agenda / Outline

Detailed day-by-day course agenda and outline, ensuring smooth course delivery and a structured learning experience for students.

Study Guide

A concise guide summarizing key concepts and topics covered in the course, perfect for post-course review and exam preparation.

FAQ

Answers to commonly asked questions about the course content, delivery, and labs to support instructors and students.

Briefing Doc

A high-level document summarizing the course objectives, target audience, and key learning outcomes, ideal for internal use and marketing.

Sales Enablement Kit for IT Training Sales Engineers

(Additional Fee)
Exclusive toolkit designed for IT training sales teams, including pitch decks, objection handling, and ROI documentation to support course sales.

Course AI GPT

(Course Assistant GPT so students can talk to the course materials!)
A cutting-edge AI-driven assistant that allows students to interact with course content, ask questions, and receive instant feedback.

Optional Podcast

(of the entire course or for each individual module)
Engaging audio content covering the entire course or individual modules, perfect for on-the-go learning or reinforcement.

Lab Guide

(Lab Environments are additional and can be found at CourseLabs.io)
Step-by-step lab guide to support hands-on learning, with lab environments available separately at CourseLabs.io.

Lab Files

(If you choose to host your own lab environment)
All necessary files and instructions for setting up and running labs in your own environment, offering flexibility in deployment.

Python: Version 3.9 or later

Matplotlib: Latest stable version (data visualization)

Plotly: Latest stable version (interactive visualization)

NumPy: Latest stable version (numerical computations)

pandas: Latest stable version (data manipulation)

mplfinance: Latest stable version (financial charting)

QuickFIX: Latest stable version (FIX protocol support)

Course Objectives:
This course is designed to provide students with a solid foundation in Forex trading, enabling them to:

• Understand the mechanics of the Forex market and its major players.
• Use Python to analyze financial data and create algorithmic trading strategies.
• Master data visualization techniques to identify trading opportunities.
• Implement risk management principles to optimize trading outcomes.

Learning Objectives:
By the end of this course, students will be able to:

• Set up Python for Forex trading and analyze real-time market data.
• Develop, backtest, and refine algorithmic trading strategies.
• Visualize trading data with industry-standard tools like Matplotlib and Plotly.
• Apply hands-on techniques to manage risk effectively in the Forex market.

Who This Course Is For:
This course is perfect for:

• Finance professionals transitioning into algorithmic trading.
• Developers and programmers interested in the Forex market.
• Data analysts looking to apply Python in financial modeling.
• Anyone eager to explore the intersection of finance and technology.

Course Format:

• 50% Lecture, 50% Hands-On Labs: Engage in practical, real-world projects while learning the concepts behind them.

Flexible Customization:
All courseware can be tailored to fit various durations, including 1, 2, 3, 4, or 5 days, depending on your organization’s needs.

Pricing:

• $40 per student per day.

Partner with us to deliver a versatile, high-impact course that equips learners with in-demand skills and real-world experience.