AlphaLupe.ai

A solution that enables the rapid integration of data, transforming complex information into clear, easily understandable, and actionable insights. This process should streamline data assimilation, ensuring that the insights derived are both practical and immediately applicable, facilitating informed decision-making and strategic planning. > Data Transformation and preprocessing: Built an ensemble of Large Language models to vectorise and contextually understand large text (e.g. FOMC / ECB statements) into a causal knowledge matrix. Transforming petabytes of data into usable insights by portfolio managers. > Neural Network Models: Built an ensemble of NN models to predict market trends and securities price movements with confidence modelling. > Long/Short Equity PnL Modelling: Productised an automatic long/short strategy *based on perfect execution which consistently outperforms index in backtest and out of sample using neural network predictive model signals. > Economic Indicator nowcasting: Dynamic Factor Models on economic “big data” (FRED-MD dataset, Haver Analytics dataset with additional time series) to nowcast economic indicators like US headline, core CPI, etc. > Unobservable Theme Indexes: Real-time sentiment analysis of key events and themes like US 2024 elections, Russian Invasion of Ukraine, etc.