---
# System prepended metadata

title: Financial Machine Learning

---

# Financial Machine Learning
## Goals
## Weekly Log
### Week 1 — August 25 to September 1
1. Started React course on Udemy
2. [Developed roadmap for next month(s)](https://docs.google.com/document/d/1ia4yI4gdJsn1W4O76p_s95xyK56Wf6wYcH1J4LJG2bk/edit?usp=sharing)
3. [Progress on model object hierarchy](https://balsamiq.cloud/s2prqck/p7dhqlp)

#### Notes
* Duke Roots course for React?
* Django might be a better option vs. Flask
    * Higher start-up cost
    * More libraries
* Expression building interface example: https://ifttt.com/explore
* Talk to Conitzer/traders about object hierarchy/map
### Week 2 — September 1 to September 8
#### Goals
1. Finish object hierarchy
2. High fidelity rule building UI Wireframes
3. Low-fidelity backtesting UI Wireframes
4. Restricted backend for rule building. Constraints: (1) only daily market price dataset (2) 5+ transformation types (3) only market orders (4) U.S. equities