Technical Analysis ALGORITHMS

Technical analysis is a tool widely used by traders all across the globe. But pattern and form recognitions is a challenging exercice, especially in the financial equity market where thousands of updates happen within a small timeframe. In technical analysis, transitions between rising and falling trends are often signaled by price patterns. By definition, a price pattern is a recognizable configuration of price movement that is identified using a series of trendlines and/or curves. How do you automatically detect these forms ? Well, this is where machine learning comes in place and help. Which data do you take into account? At which frequency ? In which window frame ? Auto adapting to which volatility? For which rate of successful detection? This is what we are answering.

Natural Language processing – mood analyser

Deep learning model builds up representation of whole sentences based on the sentence structure. It computes a sentiment based on how words compose the meaning of longer phrases. This prevents the model not to be as easily fooled as if it was just looking at words in isolation, giving positive points for positive words and negative points for negative words… then summing these up. These algorithms are especially useful for marketing purposes, the mood of your consumers, how to adjust your product offering depending of what people currently feel. It comes very handy to measure the impact of what you are saying to your audience and how it reacts to your speech. How things might get interpreted.

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