Contrary to common perception, automated trading does not marginalise human trading skills. Rather, it calls for these skills to gradually evolve. Historically, a trader’s focus has been on execution, but the focus now moves towards specialising in providing input to automatic trading strategies in close collaboration across several IT and trading functions. A successful strategy for automated trading relies on the deep market knowledge of the trader in combination with expertise in complementary disciplines such as machine learning, meteorology, and business intelligence.
A SUCCESSFUL STRATEGY FOR AUTOMATED TRADING RELIES ON THE DEEP MARKET KNOWLEDGE OF THE TRADER.
As digitalisation changes the industry, it also entails changes to SANIA Power. We encourage and train our traders to grasp the changes of their roles. To that end, we collaborate with external data scientists, quantitative analysts, information specialists and mathematicians who possess strong digital, programming, financial and mathematical skills. As a result, we now cooperate with more than ten experts working directly on data processing and data analysis.