We believe history would repeat itself hence many of us manually 'go back' to the past and painstakingly try to find similar patterns that can 'predict' the future. It looks good in theory but the typical bottleneck would be nothing but ourselves. We typically see what we want to see and hope market would move according that what we believe have seen. Our psychology also tends come in the way that clouds our judgement in making sound trading decisions.
AmygdalaHD was created to address the need for more accurate trading forecasting with minimum human intervention. Based on unique proprietary Artificial Intelligence techniques, the system would go back to the history of more than 10 years in finding similar patterns, classify them and coming out with highly accurate prediction (more than 70%) in timely manner. It covers many instruments such as currencies, commodities, index and stocks depending on data availability. The system has built-in "self-learning" capability in order to keep generating accurate forecast signals to its subscribers.
In a nutshell, artificial intelligence logic being used can assume human’s brain-like capability such as study the data, “self-learn” its relationships and then classify and recognize repeating patterns. The system is then able to use this pattern classification capability in producing information to make highly accurate market forecasts. The ability to learn patterns based on the previous repeated data and patters, allows the program to generalize conclusions on related future directions of the markets.
In addition to typical forecast of forexcurrency pairs signals, AmygdalaHD is also producing other instruments such as for commodities, index and stocks. Forecast are generated automatically once new patters are found by the systems for the convenience of its users.
While every trader is responsible for their own trades, AmygdalaHD forecast provide very useful information to complement any trading strategy.
For technical support, feel free to contact us at support@amygdalahd.com
