Working in quantitative research over the Summer, things that seemed relatively simple such as finding stock data required a lot of syntax and code that was not intuitive to get results. We hoped to fix this.
What it does
It is a website which takes in voice commands to return in-depth stock data or results from back tested trading strategies.
How we built it
Challenges we ran into
We ran into problems incorporating the python back end with our website as it was built with PHP. We got around the problem by having the website automatically download a file rather than pass it to a python program.
Accomplishments that we're proud of
We are proud thagt we were actually able to incorporate trading algorithms not just metrics plotting. We are also proud that we have a UI and not just a terminal. The goal of our project was ease of use for trading "beginners" and that helps substantially.
What we learned
If we plan on incorporating a python back end, we need to be more mindful of website structure and plan it out ahead of time. We also learned about API authentification and natural language frameworks.
What's next for Talk To Trade
We need more algorithms and more stocks to analyze. For a production level tool we need to add in a lot of aliases for the various stocks. We wouild also like to make it useful for people who are actively trading by adding in the capability to purchase and sell stock from the website.