investing Tag

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...

In times of great uncertainty and volatility, we all want to know where and when to invest. And when not. The mood often turns before the prices. Our Augmented Language Intelligence measures whether investors have confidence in the stock markets, whether their gut feeling is "POSITIVE", or whether they prefer to take cover and reduce their investment ratios. What does our short-term model currently show? On 21 September, the Daily Model recommended a substantial reduction in the investment ratio! Since then unchanged in hedging mode. see chart above, left scale: Investment...