DRAW ME A BULL by Pierre Pauze is a series of 37 NFTs exploring the intersection between data analysis and their representation models. The works depict trading charts as a canvas where mathematical precision intertwines with the mysticism of predicting the future. These images were generated by AI models blending real crypto chart images with hand-painted fictive representations, challenging the distinction between raw data and human intervention in crafting these patterns.

Online data analyses emerge as the coveted rarity in a new era of "homo informaticus." Unraveling the past to prophesy the future, these processes sketch an algorithmic divination that subtly advances into our daily lives, orchestrated by programming. The question of the quantifiable and mathematics intertwines, more than ever, with dimensions tinged with prophetic and experimental nuances with reality.

The handling of such data often remains shrouded in opacity, reserved for an elite of initiated scriptwriters mastering a particular language. However, one domain seems to transcend this enigmatic barrier: trading. Indeed, trading charts and technical market analysis intriguingly blend engineering genius with a prognostic practice tinged with esoteric mysticism.

Regardless of the level of initiation, the hormones released during speculative transactions, laden with stakes, offer an intoxicating aesthetic experience during their visualization. Trading charts strikingly embody how the immaterial can manifest a palpable impact on matter. Shapes and colors become real-time dopamine catalysts, where fear dances with greed and the coldness of numbers shifts into hypnotic moments of contemplating forms.

This gesture approaches an aesthetic experience akin to facing a work of art. Generative AI learning models draw from the recovery of images, often originating from the works of other artists. Trading charts feed on the sum of transactions at a specific moment, creating shapes that belong to the collective. In this context, it becomes challenging to discern whether these emotions emanate from raw data or human intervention, blurring the boundaries between the digital and the tangible.

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