Inspiration

We had encountered many news articles related with the issues and uncertainty in the trading market.

What it does

As a whole, it helps the layman who enters the field of trading to enjoy and have all of its benefit equivalent to a daily market investor by providing with the best suggestions based on current information sources.

How we built it

We introduce a web based application model which uses the natural language processing and ML algorithms, along with some of the API.

Challenges we ran into

The main challenge is to collect the correct set of data for training and testing of our model in real world scenario.

Accomplishments that we're proud of

What we learned

What's next for Forex Market Sentiment Predictor

In future we are planning to make it work multilingual, and make it extract the data from various multimedia sources(audio, video, images, etc.)

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