By using algorithms that work on more than 200 markets simultaneously, MIDA allows you to zero out the risk by executing a diversified portfolio in instruments, using any broker.
Trading automatically, robotic and aseptically, removes the main causes of loss on markets linked to the human aspect of a trader: emotions, fear and greed.
Having a solid Fintech company at your side allows you to cut the time and cost of developing a platform ready for use.
The basket of algorithms of the MIDA platform is based on a component of mathematical analysis. The models accurately study the price of the underlying of any type (shares, futures, forex, etc.) and do not act on the basis of the classic statistical indicator as happens in the basic technical analysis. This allows you to have a completely scientific approach in evaluating the strategy that no longer expresses a statistical trend subject to high risk exposure. The calculation model adopted therefore allows a substantial reduction of the intrinsic risk of the single strategy but above all the possibility of making extremely reliable forecasting assessments.
The structure of these models is further confirmed by the specific mode of operation of the model itself. In most cases the algorithms are managed in hedging mode. The Market Neutralrepresents today the best form of investment in terms of risk control. This strategy does not expose the investment to market fluctuations and by adopting money management mechanisms it allows to obtain a high return in terms of profit even with respect to the low risk level. The approach does not involve the use of financial levers as often happens in the most aggressive funds but simply the adaptation of a multi-market management and an appropriate and modular recapitalization model. The I&M Quantitative Team has studied a methodology that substantially increases the profit of Portfolio and enhances its control over risk respectively through the Money Management and Risk Management modules.
The most cutting-edge hardware and software solutions have been prepared for the realization of the technological stack. In particular, specific machines have been assembled that can handle quantitative analysis systems with the help of parallel computing technologies (CUDA-FPGA hardware) and software that can manage these analyzes through parallel computing toolboxes.