Onboarding and Training

Empowering You to Excel

Welcome to Alpha Options! We’re excited to have you on board and look forward to supporting your journey with us. To help you hit the ground running, we’ve compiled a set of resources across key areas. We encourage you to explore these topics not just academically, but also practically, applying what you learn to real-world scenarios as you progress.

Interactive Brokers & Tradingview

Familiarize yourself with the platform and create a paper account to test out trades in a risk-free environment.

• Getting Started with Interactive Brokers

• Open a paper account

• Setting Up Interactive Brokers Mosaic (TWS) Software

• Get a free account at Tradingview - An excelent chart analysis tooi with 100s of open source ideas

Interactive Brokers ib_insync API

Understand how to interact with Interactive Brokers' system programmatically.

• Introduction to ib_insync API

• ib_insync documentation

• example of placing option orders with ib_insync

Python Programming

Get to grips with Python and its main libraries to kickstart your coding journey.

• Python Tutorials

• Python Libraries for Data Science

Stock Market Fundamentals

Get an overview of how the stock market works.

• Introduction to the Stock Market

Options Market

Deep dive into options trading, strategies, the Greeks, and stock volatility.

• Options Trading for Beginners

• Options Trading complete guide

• 0DTE Option investment

• Understanding the Greeks

VIX: The Volatility Index

Learn why VIX is important in our trading strategies.

• Understanding VIX

Backtesting in Financial Markets

Explore what backtesting is, different approaches, and examples in Python.

• Introduction to Backtesting

• Backtesting libraries in Python

Technical Indicators for the Stock Market

Get to know different technical indicators used in stock market analysis.

• Technical Indicators Explained

• Technical Indicators for intraday

• Technical Indicators for Options (discussion on leading vs. trailing).

• Technical Indicators for Options II

Software Architecture & Object-Oriented Programming

Understand the basics of software architecture and OOP in Python.

• Software Architecture Basics

• Object-Oriented Programming in Python

Data Science

Explore data structures and the basics of AI applied to time series and NLP processing.

• Data Structures in Python

• Introduction to AI for time series analysis

• NPL processing in Python

Mathematics

Review some of the mathematical foundations relevant to our work, such as basic statistics, Lorentzian space, and stochastic calculus.

• Use of logarithmic scales

• Basics of Statistics for Data Science

• Other resource videos for Data Science

• Advanced mathematics for Data Science

• Stochastic Calculus

Remember, the key is to blend theoretical knowledge with practical application. We encourage you to constantly relate what you learn to real-world examples and consider how it applies to our work at Alpha Options. Happy learning!