Research
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Airbrake for Sport Rockets [DRAFT]
AgentML is an autonomous LLM-agent system that can analyze datasets, write and execute code, train and evaluate machine learning models, and provide visual insights, enabling users from diverse backgrounds to efficiently build and deploy ML solutions without extensive coding expertise.
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Statistical Analysis of Pivot Points Strategies for Intraday SPX Trading [DRAFT]
Analyzes the use of pivot points for improving intraday SPX trading strategies amid shifting market dynamics post-2016.
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S&P 500 Simulator using Cellular Automata with LSTM Weights
The Cellular S&P 500 Simulator is an experimental model that uses LSTM neural networks as weights for a cellular automata to simulate the stock market, providing a novel approach to visualize and explore the intricate relationships and dynamics within the S&P 500 index.
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AgentML
AgentML is an autonomous LLM-agent system that can analyze datasets, write and execute code, train and evaluate machine learning models, and provide visual insights, enabling users from diverse backgrounds to efficiently build and deploy ML solutions without extensive coding expertise.
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CT Scan Pre-Processing to Enhance PAA Segmentation Accuracy
The Cellular S&P 500 Simulator is an experimental model that uses LSTM neural networks as weights for a cellular automata to simulate the stock market, providing a novel approach to visualize and explore the intricate relationships and dynamics within the S&P 500 index.