Uncategorized

We at YUKKA Lab feel very honoured to be named a Gartner Cool Vendor in Natural Language Processing for Processing Enormous Volumes of Unstructured Data. For us, this is a tremendous third-party recognition in such a competitive deep tech field for our innovative solution that transforms the worlds unstructured news in real-time into measurable scores and signals.   Our goal: Empowering business experts to make better-informed decisions, deliver advisory excellence to their clients and improve their performance by being always on top of the news and having unique insights into the market.    Real-time news-based: Credit-Watch-Scores...

Since the start of the Energy Crisis, YUKKA Lab news-based algorithms have detected an unprecedented increase in reports on insolvencies, bankruptcies and production & delivery issues within the German energy sector. Major trending topics detected by YUKKA algorithms and Google Trends include ‘Blackout’ and ‘Electrical Heating’ as a result of surging energy prices.  [pdf-embedder url="https://www.yukkalab.com/wp-content/uploads/2022/11/Energy-Report.pdf" title="Energy Report"]...

Curious to monitor and manage supply chain risks of your portfolio in real-time? In Germany, flight disruptions due to staff shortages at major airports and workers strikes at the Hamburg harbour have led to supply chain disruptions in June. Find out more in our news-based Supply Chain Impact Report!Not your target group? Contact us to get a customised supply chain impact report for your portfolio! [pdf-embedder url="https://www.yukkalab.com/wp-content/uploads/2022/11/supply-chain-impact-report-yukka.pdf"]...

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...

At YUKKA Lab, we’re constantly working on cutting edge solutions to solve problems around unstructured data and its application in industry. Here's what Dean Shaff, one of our YUKKA Lab Data Scientists, discovered while solving a key technical challenge on the road to implementing one of our most exciting new features. A must read for any data scientist out there working with ElasticSearch. https://medium.com/yukkalab/efficient-float-array-storage-on-elasticsearch-a098f937bbc2 ...

Am 21. Oktober startete der Batch 5 des Wiener weXelerate, am 29. Jänner wurde die aktuelle Runde des Innovationsnetzwerks erfolgreich abgeschlossen. Dabei lief in diesem Batch vieles anders als in vorherigen Runden. Bereits in der Auswahl ist der frühere Plan, Corporate-Startup- Matches zu suchen, weiterentwickelt worden: Denn nun wurden Startups und Projekte in den Fokus gerückt, die mit mehreren Corporate Partnern gemeinsam arbeiten können – um so mehr Synergien zu ermöglichen.  Wien , wir kommen wieder! https://brutkasten.com/wexelerate-batch-5/ ...

With the 2020 US presidential election just around the corner, we take a final look at the sentiment surrounding the two presidential candidates. As we can see in the figure down below, throughout the past month, the sentiment lead has switched regularly between Donald Trump and Joe Biden. However, since October 25th, Biden's sentiment has managed to stay ahead of that of Trump. Furthermore, Joe Biden is recently getting more attention in the news as well, a relevant factor that often goes unrecognized. The number of news that talk about...

12 Start-ups haben es ins Scale-up-Programm des Fintech-Inkubators F10 geschafft. Über 80 Teams hatten sich für die Teilnahme am 3-monatigen Bootcamp beworben. Das Scale-up-Programm soll den Teilnehmern die Möglichkeit bieten, Prototypen und Proof-of-Concepts zu entwickeln sowie mit Schweizer Banken, Versicherern und der Börsenbetreiberin Six zusammenzuarbeiten, wie es in einer Mitteilung heisst. https://www.netzwoche.ch/news/2020-04-24/diese-12-start-ups-kommen-unter-die-fittiche-von-f10-fintech ...