1. Trading Platform
1.1. Web IDE
1.1.1. System independent platform where just need an internet browser to access it
1.2. Back Testing
1.2.1. Performance of algorithm using historical data
1.3. Live Trading
1.3.1. Integration with User's broker using API
1.4. Paper Trading
1.4.1. Live testing of algorithm
1.4.1.1. Selection of best performing algorithms
1.4.1.1.1. Public investment on algorithms
1.5. Historical Data
2. Community
2.1. Forum
2.2. Collaboration
2.3. Intellectual property right
2.4. Events
2.5. Contests
2.5.1. Cash prizes and rank against others
3. Education
3.1. Tutorial
3.1.1. Write algorithm from scratch
3.1.2. Hands on Quantston platform
3.2. Lecture
3.2.1. Research tools and useful financial concepts
3.2.2. Educational Curriculum
3.3. Workshop
3.3.1. Learning Approach to Quantitative Finance
3.3.1.1. Educational Institutions
3.3.1.1.1. No setup for lectures and homework
3.3.1.1.2. Existing teaching material from top schools
3.3.1.1.3. Live and historical data
3.3.1.1.4. Exclusive contest can provide a goal for students
3.3.1.1.5. Completely free and Open source
3.3.1.2. Professional Gatherings
4. Risk Module
4.1. Portfolio Optimization
4.2. Market Stress Testing
4.3. Profitable Factor
5. Research
5.1. Data
5.1.1. Free Data
5.1.2. Premium Data
5.2. IPython Notebook
5.2.1. Flexible data access
5.2.2. post-hoc analysis