Your question is Stock Price Forecasting Approach. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
You are asked to build a model that predicts stock prices from historical market data. The goal is to produce forecasts that could support downstream investment research, while avoiding common mistakes like leakage and unrealistic backtests.
How would you approach building a predictive model for stock prices?