QUICK SUMMARY | 5 Min Read | Running existing APIs side-by-side, instead, can cut costs while catapulting automation and reducing inefficiencies, but it requires a critical missing piece – artificial intelligence. Automation: If API brings about the ideal conditions for automation, then multiple APIs side-by-side can pave the way for hyper-automation. If API brings about the ideal conditions for automation, then multiple APIs side-by-side can pave the way for hyper-automation. Dynamic scalabilityThe objective of running multiple APIs side-by-side is to gain additional capabilities or insight within the least amount of time. Using multiple APIs led by AI is innovating operations, processes and leading customer experience, all key to business success.

This is the second part of the article about investment strategies applied to the market of crypto assets. With the breakthrough of Deep Neural Networks and Reinforcement Learning we can deeply explore many entrenched problems at the financial markets which haven't been reachable till now. The investors' interest in topic is growing rapidly and here are some intriguing opinions about using Deep Learning on financial markets: There are existing a lot of Deep Learning approaches to the financial market trading. However many of them try to predict price movements or trends (Heaton et al., 2016; Niaki and Hoseinzade, 2013; Freitas et al., 2009). With history prices of all assets as its input, a neural network can output a predicted vector of asset prices for the next period.The performance of these price-prediction-based algorithms however highly depend on the degree of prediction accuracy, but it turns out that future market prices are too difficult to predict.