Tag: Algorithmic trading

Introduction Environmental, social and governance (ESG) data has become an indispensable data set for financial institutions – used to assess a company’s risk and performance. ESG is broadly defined as a set of non-financial criteria or metrics that reflect how a company performs as a steward of nature (measuring carbon emissions, water usage, waste management […]

Introduction In an earlier blog post, we described an architecture for backtesting machine learning-based trading strategies on AWS. One of the key components in this architecture is the data management and analytics component. Depending on the specific use case, there are various options to implement this. Many companies adopt solutions based on data lakes and […]

It is well known that the majority of stock transactions are automated (as described here and here), for example using applications or “robots” implementing a trading strategy. More recently, an emerging trend in the financial services industry is the movement of trading solutions, such as algorithmic trading solutions, to the cloud (as described here and […]