Applying AI and Machine Learning to investment management.

Financial markets are complex, noisy environments that continuously change and evolve. We do not assume that what worked in the past will continue to work in the future. Static ideas, like static rules, work for a while but then often stop working. Adaption is fundamental to survival, which in portfolio management means the ability to profit in most environments while mitigating risk. 

​AIM's PIE is specifically designed to deal with the different realities of financial markets without biases and emotions. Its objective is to deliver investment outcomes which are superior to conventional approaches by continuously learning and adapting as markets evolve.

PIE can operate on any portfolio of liquid instruments over any desired time frame.

Single Asset Index

Single Asset Class

Multi Asset Class

PIE dynamically adjusts exposure between (0%-100%) to a chosen index (e.g. S&P500).

PIE dynamically allocates across stocks representative of different industry sectors (or the constituents of an index).

PIE dynamically allocates across different asset classes to provide a range of risk solutions.

Portfolio Manager & PIE working together.
The portfolio manager sets the investable universe and time frame, defines limits (if any), portfolio objectives and acceptable risk tolerance levels, checks output generated by PIE, and executes the trades.

PIE analyses and processes market data, extracts information from data, builds models out of these information, predicts asset price behavior, minimizes portfolio drawdown risks,  and determines optimal portfolio weights.

​The portfolio manager’s ability to select stocks, themes or asset classes (strategic decisions) is preserved, and is supported and enhanced by an industrial grade software that efficiently takes tactical informed decisions.

​PIE allows for total automation of the investment process.