Developments in Technical Analysis with Machine Learning

This web­i­nar explo­res the signi­fi­cant role of machi­ne lear­ning (ML) in tech­ni­cal ana­ly­sis for finan­cial mar­kets, empha­si­zing both clas­si­cal approa­ches and the cut­ting-edge poten­ti­al of deep lear­ning algo­rith­ms. We will out­line the distinc­tions bet­ween super­vi­sed and unsu­per­vi­sed lear­ning, and how the­se metho­do­lo­gies unco­ver pat­terns in mar­ket data, revo­lu­tio­ni­zing tech­ni­cal ana­ly­sis. Addi­tio­nal­ly, we will high­light the emer­ging role of gene­ra­ti­ve AI, show­ca­sing prac­ti­cal use cases.

Car­los Jau­re­guí­zar is the CEO of Rob­exia AI Lab, an Arti­fi­ci­al Intel­li­gence labo­ra­to­ry spe­cia­li­zing main­ly in quan­ti­ta­ti­ve ana­ly­sis. He is also the foun­der and vice-pre­si­dent of IEATEC and the foun­der and pre­si­dent of IDIASEF. Aca­de­mi­cal­ly, Car­los Jau­re­guí­zar holds a Bachelor's degree in Eco­no­mics (UAM), a Master's in Finan­cial Mar­kets (UAM), and a Ph.D. in Appli­ed Eco­no­mics with cum lau­de distinc­tion from URJC.

San­dra Nieto is the cur­rent pre­si­dent of IEATEC and COO at Rob­exia AI Lab. She holds a Bachelor's degree in Com­mu­ni­ca­ti­on (UMA) and spe­cia­li­zed in mar­ke­ting and adver­ti­sing (UCM). She is CESGA cer­ti­fied and has a Master's in Arti­fi­ci­al Intel­li­gence from the IIA Insti­tu­te. Working in the finan­cial sec­tor, she deve­lo­ped an inte­rest in tech­ni­cal ana­ly­sis, con­tri­bu­ting to seve­ral artic­les on the subject.

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