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04 Aug

Posted at 17:25h in Uncategorized

We are going behind the scenes to discover how our in-house data scientist Alexander Pieper uses News Sentiment data to create Buy/Sell Signals for stocks. Transforming unstructured news data into structured signals! A Step-by-Step Guide to transform raw data into an AAPL Trading Signal in Python: https://medium.com/yukkalab/efficient-float-array-storage-on-elasticsearch-a098f937bbc2 Summary and Outlook What did we do in this article? We went from having raw News Sentiment data to having a daily executable investment signal for the Apple stock in only 14 lines of code (excluding backtesting (16 lines) and plots (45 lines)). A portfolio using this...

06 Jul

Posted at 16:04h in News & Trend Lab insights, Product, YUKKA

What happens when a madman decides to build walls and starts a trade war. Well, you better are on the safe side then. But is there any? And which side is it? Looking in the YUKKA News & Trend Lab We cannot deny the effects of trade wars on all economies. Also, or maybe especially the US shows heavy loss in sentiment. All calculations are made in regards to sentiment changes within the last 4 weeks (Friday, June 8th - Thursday, July 5th) - China: Delta change: 1.59% Maximum Drawdown: 5.14% - USA: Delta...

18 May

Posted at 15:37h in NLP, Product, YUKKA

Mistakes, misunderstandings and missteps. Most of us will do anything to avoid them. In many cases humans find it uncomfortable, not to say humiliating, to even admit to own fallibility. Nevertheless, mistakes are inevitable, not only to humans but also to algorithms. In the fast-paced world we now live in, a big source of such mistakes could be to easily incline toward optimizing what does not really matter! Given that in the financial domain the weight of influential parameters in the market can vary across time in our world of continuous...