Inspiration

According to City Index "Trade market opportunities with a global leader. 73% of retail CFD accounts lose money", OANDA "Use OANDA to trade the major global indices. 76.6% of retail CFD accounts lose money", and IG "Open a virtual £10K demo account. 75% of retail CFD accounts lose money".

Most individual traders lose money, this project is aiming to empower all type of investors, from very small to institutional.

What it does Do?

Stock Prices and Foreign Exchange (FX) Prediction Using Machine Learning and Deep Learning Techniques on Microsoft Azure Machine Learning.

How we built it

Challenges we ran into

As, the process of predicting how the stock market will perform is an extremely sophisticated and nonlinear problem. Factors and features could reach millions of dimensions. Therefore, an accurate prediction could be impossible, however, reaching a high level of accuracy is our aim.

The importance of this project comes from both the complexity of predicting such a time series and the size of this market. The complexity pushed institutional and individual investors to move to automated trading systems aiming to incorporate all dimensions in their decision. Moreover, placing passive strategies to trade in such a dynamic and volatile market could lead to lower success rate than using proactive leading strategies with machine and deep learning algorithm as we are proposing in this project. It worth mentioning that over 80% of these markets are traded using algorithmic trading systems. The second factor, the Equity market size is currently volatilizing between $85 and $100 Trillion with a daily turnover and exchange of ownership surging to $303 Billion in Nasdaq alone. Conversely, the Foreign Exchange (FX) daily turnover stretched to $6.6 trillion.

Accomplishments that we're proud of

Ahlia Data Breaker team is trying to center Bahrain at this $100+ Trillion domain using machine and deep learning techniques.
The Explained variance 0.98733, which is better than what is presented in the market.

What we learned

Feature engineering, visualization, and subject matter expert is what make the AI projects work

What's next for ADB (Ahlia Data Breaker)

Trying to lunch the product as a service through Azure after adding Azure Cognitive Services platform fully interactable, achieve human parity in computer vision, speech, and language, and to empower customers of all abilities. According to the World Health Association, only 1 in 10 people with a disability.

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