I Built a Causal AI Model to Find What Actually Causes Stock Drawdowns

This story was originally published on HackerNoon at: https://hackernoon.com/i-built-a-causal-ai-model-to-find-what-actually-causes-stock-drawdowns. Do valuations cause crashes? Use Causal AI & EODHD data to prove how profitability and beta drive downside risk during market shocks. Move beyond correlation. Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories. You can also check exclusive content about #causal-ai, #stock-drawdowns, #causal-inference, #stock-drawdown-modelling, #inverse-probability-weighting, #causal-ai-for-markets, #counterfactual-risk-analysis, #maximum-drawdown-modeling, and more. This story was written by: @nikhiladithyan. Learn more about this writer by checking @nikhiladithyan's about page, and for more stories, please visit hackernoon.com. The EODHD causal AI framework analyzes how valuation, volatility, and profitability affect a stock’s downside. The data comes from ten years of S&P 500 stocks, which is more than enough to see how company characteristics shape real risk, not just statistical noise.