1. Time 3 months
1.1. Trading
1.1.1. Intraday
1.1.1.1. Learning curve
1.1.1.1.1. Strategy building
1.1.1.1.2. Testing
1.1.1.1.3. Journeral
1.1.1.1.4. Psychology
1.1.1.2. Fundamental Analyses
1.1.1.2.1. Reading news and articles
1.1.1.3. Technical Analyses
1.1.1.3.1. Price action, chart pattern
1.1.2. Prop firms
1.1.2.1. Alpha capital group
1.1.2.1.1. 50K
1.1.2.2. Ofp prop firm
1.1.2.2.1. 25k
1.1.2.3. Topstep
1.1.2.3.1. 50k
2. Jobs application
2.1. Countries
2.1.1. Italy
2.1.2. Austria
2.1.3. Netherlands
2.1.4. Luxembourg
3. Online course
3.1. 365 Data science
4. Portfolio for jobs
4.1. 3 Projects
4.1.1. 1. Project - Prediction of gold prices.
4.1.2. 2. Project - Synthetic data for fraud transaction in financial industry.
4.1.3. 3. Project - Customer churn prediction using machine learning.
5. Skills required
5.1. Python
5.2. Statistics
5.3. Machine learning
5.4. SQL
5.5. Deep learning and neural net
5.6. Probability
5.7. Maths
6. Priority no . 1 - Jku university
6.1. September Exam
6.1.1. Machine learning supervised
6.1.2. Theoritical concepts of Machine learning
6.1.3. Ai in life science
6.1.4. Python
6.1.5. Robotic system
6.1.6. Basic data analysis
6.1.7. Robopsychology
6.1.8. Deep reinforcement learning
6.2. Semester
6.2.1. Seminar
6.2.2. Practical work
6.2.3. Subjects