Recruitment of participants Lumiwealth - algorithmic trading

Lumiwealth - algorithmic trading
1 Month Payment Plans

Discover & Test Investment Strategies: Learn the fundamentals of Data Science and how to apply this to the world of Finance to help you both in your career and with your investing!

Course Learning Outcomes
The Fundamentals of Data Science
Backtesting an Investment Strategy; Using Historical Data to See How Your Strategies Would Have Performed
How to Build an Algorithmic Trading Robot
A Working Trading Robot That You Can Use

Part 1: Data Science Fundamentals
Week 1: Course Introduction

• Introductions
• Course Layout and Tools
• System Setup
• Q&A

Week 2: Python Refresher

• Numbers and Strings
• Loops
• Conditionals
• Functions
• Q&A

Week 3: Setting Up A Backtest

• Python Classes and Libraries Refresher
• Setting Up a Backtesting Library
• How to Place a Trade
• How to Get Historical Data
• Interpreting Backtesting Results
• Q&A

Week 4: Pandas for Algo Trading

• Pandas Basics
• Loading Data From a Website (eg. Insider Information)
• Loading Data From a CSV
• How to Run Technical Analysis on Pricing Data
• Creating a Technical Analysis Bot
• Q&A

Part 2: Data Science for Finance
Week 5: How to Run Your Bot Live and In The Cloud

• Linking Your Bot to a Broker
• Running a Bot Live
• Replit Introduction and Setup
• Running a Bot on Replit, In The Cloud
• Project Presentations
• Q&A

Week 6: Market Mechanics and Strategy Components

• Review of Order Types
• Review of Market Mechanics
• Review of Important Functions for Algorithms
• Project Presentations
• Q&A

Week 7: Working With Stock and Economic Data

• Getting Yahoo Finance Data
• Getting Data From Nasdaq
• Building a Bot Together Live (What Do You Want to Build?)
• Project Presentations
• Q&A

Week 8: Financial Performance Metrics

• Calculating Returns: CAGR, StDev, Max Drawdown, and Sharpe Ratio
• Building a Bot Together Live (What Do You Want to Build?)
• Project Presentations
• Q&A
• Part 3: Building a Trading Robot

Week 9: Debt Trading Case Study

• Downloading/Analyzing Economic Data
• Turning the Case Study Into An Algorithm + Results
• Project Presentations
• Q&A

Week 10: Trading Bot Examples

• Strategy Examples (Including Our Latest Strategies)
• Project Presentations
• Q&A

Week 11: Trading Bot Examples

• Strategy Examples (Including Our Latest Strategies)
• Project Presentations
• Q&A

Week 12: Machine Learning Intro

• Forecasting Time Series Data Using Machine Learning AI
• Q&A