Quantitative Research and Development
Live SPY Algorithmic Backed bots for Day Trading Stocks by utilizing ALPACA / IBrokers as the REST Agents.
A Quantitative Pre-Trading Research tool for stocks, Crypto, Govt Bonds and ETFs hosted on AWS EC2 - Migration to JS ongoing
FPGA & CuDNN/CUDA infrastructure for low-latency algorithmic trading. Implements market data parsing, order book management, and strategy logic in Verilog/VHDL. Designed for Xilinx/Intel FPGAs with PCIe/10G networking support.
Development and Research on Quantitative problems which have been implemented mathematically like market making models and pricing models
Research repository for high-frequency trading network latency optimization, focusing on FPGA-based packet processing, BGP route simulation, and ethical latency arbitrage techniques.
A RAGentic system built with Semantic Kernel's Architecture and C# that performs quantitative research by analyzing YouTube videos, Market trends, and generating trading signals. This system combines the power of AI-driven content analysis with sophisticated trading algorithms.