What we do

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 We first assess where market consensus lies by analyzing the net positioning of market participants, combining publicly available data with our proprietary algorithmic models

 We then apply a second proprietary LLM-based model to quantify the intensity of sentiment and emotions associated with a particular consensus view in the market

 We use a news-driven signal to identify entry points and take positions against crowded markets. By applying strict stop-loss discipline and systematic exit rules, we structure trades so that the overall risk-to-reward profile remains firmly in our favor