FINECIENT- Firms Valuation in Weak EFficient Markets.

Inspiration

In addition to financial statements, prediction of trader confidence still persists to influence market prices of stocks, and this issue is much more prevalent for firms in weak efficient markets. Not only a bad PR, but also day to day traders rarely using sound financial analysis for investment can effect firms stock price. Instead investor depends on their peers groups and what others are saying to make prediction.

What it does

Our product creates investment decision reports Using multilingual sentimental and Spectral analysis to carb weak efficient financial markets. No more rumour and gossip driven stock valuation.

How we built it (Model)

Model takes the weighted approach to incorporate sentimental analysis on local from both credible sources as well as other online avenues. Past financial report are also given a weight based on past trend predictability.

We intend to make this using Natural Language Processing (NLP) APIs, python as well as data scrapping from credible financial sources. MVP will have Hindi, Bangla, and English for sentimental analysis.

Challenges we ran into

We ran into issues with API qualitative analysis, we are thinking to solve it by defining the sources with credibility in our program. This is still a ongoing process, so we will solve as we go.