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My (non-technical) essay.
Summary:
*BigData and DeepLearning are popular buzz words nowadays. But the number of the genuine success stories is relatively small.
*In trading the BigData technology is mostly associated with automatic analysis of the news and sentiment in social networks. But unless you are Google or Reuters, you will never be the one who gets the news first. Additionally, a market reaction both to news and sentiment is often vague and amorph.
*Large deep neural networks closely resemble a human brain, which also has a lot of neurons, interconnected in many layers. But it doesn’t mean a breakthrough to a real artificial intelligence: all is not gold that glitters.
*A positive side: trading is only a part of the financial world. Likely, BigData + DeepLearing has a high potential in adjacent areas like risk profiling and credibility analysis.
So IMO there is more hype than opportunities. However, I would be happy to hear the opposite opinions (esp. with concrete examples of success stories).
Summary:
*BigData and DeepLearning are popular buzz words nowadays. But the number of the genuine success stories is relatively small.
*In trading the BigData technology is mostly associated with automatic analysis of the news and sentiment in social networks. But unless you are Google or Reuters, you will never be the one who gets the news first. Additionally, a market reaction both to news and sentiment is often vague and amorph.
*Large deep neural networks closely resemble a human brain, which also has a lot of neurons, interconnected in many layers. But it doesn’t mean a breakthrough to a real artificial intelligence: all is not gold that glitters.
*A positive side: trading is only a part of the financial world. Likely, BigData + DeepLearing has a high potential in adjacent areas like risk profiling and credibility analysis.
So IMO there is more hype than opportunities. However, I would be happy to hear the opposite opinions (esp. with concrete examples of success stories).
