Engineering Alpha through Quantitative Machine Learning
Connect With UsAlphaForge is a Quantitative Machine Learning studio focused on developing cutting-edge strategies, tools, and infrastructure to drive consistent alpha in financial markets. We combine scientific rigor with real-time systems to reimagine quant trading.
We publish foundational and applied work in machine learning for finance, focusing on alpha extraction, regime shifts, vector signal engineering, and generative modeling for time series.
AlphaForge builds long/short and market-neutral strategies powered by ensemble ML, deep learning, and reinforcement learning. All systems are backed by live trading and robust backtesting pipelines.
Founded by Rajamohan Jabbala, former Amazon SDM and AI/ML leader, AlphaForge unites researchers, engineers, and data scientists obsessed with building the future of scientific trading.
Interested in partnering, investing, or joining? Reach out at hello@alphaforgeai.com or connect via LinkedIn.