Trading software provider 4th Story has introduced new portfolio features to its automated trading strategy platform. The new features are designed to accommodate cross-strategy risk management and optimisation and portfolio-based investing.
Algorithmic strategies developed on 4th Story's platform can now track the performance of other strategies as they make their investment decisions, meaning trading strategists can back test the effect of different sizing techniques on the overall return of their portfolio of automated strategies.
4th Story has also added the ability to run portfolio-based strategies, such as investing in the top and bottom rated securities in a basket, rebalancing periodically. Strategists can use both fundamental and market data to construct models for portfolio-based investing and rebalancing. Users can back test and optimise these across the portfolio, then operate them periodically or in real time.