Alpha-Viz is a visualized diagnostic tool of trading strategy based on financial news. It utilized with Accern Alpha's dataset and allow investment managers to verify their strategies in a more efficient way by visualization. Alpha-Viz is a handy and well-visualized diagnostic tools for testing and tuning investor’s machine learning algorithms or data streams in a more efficient and interactive way based on financial news. It can directly see your max return based on the original investment and given strategy. It also shows details about key metrics of articles/stories on a specific trading day. Lastly, Alpha-Viz provides an overview of one specific strategy applied on multiple companies the user wishes to observe. All these features make it a great companion for investment managers.
We use a basic Bootstrap theme to create a dashboard for Alpha-Viz to make it more user-friendly. Alpha-Viz has a sidebar to enter Stock Symbol and dynamically configure Average Article Sentiment and Average Impact Score that will allow the user to indicate the sentiment, saturation, and impact score desired in their query of stocks. It also contains a chart display area Insight on the right to show the Strategy-Stock-Return Rate and corresponding alpha. There is a dynamic line across multiple coordinate panels to indicate appropriate times to buy or sell the given stock.
Demo: Alpha-Viz Demo Video: Alpha-Viz Video
Team member:
- Xun Gong
- Doug Steinberg
- Sharon Jiaqian Liu
Mentored by:
- Enrico Bertini
- Anshul Vikram Pandey
- Kumesh Aroomoogan
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent