Machine Learning Trade Bot

Enhancement of existing trading signals with machine learning algorithms that can adapt to new data.

As a Licensed Financial Planner & Experience Fnancial Advisor at one of the top global investment firms in the world, firms often find themsleves in the thick of constant competition with othger major firms to manage and automatically trade assets in a highly dynamic environment. In recent years, investment firms of all sizes have heavily profited by developing and using computer algorithms that can buy and sell faster than human traders.

The speed of these transactions ggive investment advisoryt firms a competitive advantage early on. Unbeknownst to even the best traders and advisors, tech people still need to specifically program these systems (often even above their highest performing paygrade), which limits their ability to adapt to new data. The true competitive race to industry dominance exists within the continued upgrading of existing algorithmic trading systems to maintain the firm’s competitive advantage in the market. Nothing moreso than the enhancement of existing trading signals leveraging Machine Learning algorithms that can adapt to new data.

Demonstrated Usage:

• Establish a Baseline Performance

• Tune the Baseline Trading Algorithm

• Evaluate a New Machine Learning Classifier

• Create an Evaluation Report