Forex Prediction

I have a clean set of historical foreign-exchange price data and I want an ML model that can learn from it and generate short-term price predictions. The core of the job is to build, train, and evaluate the model, then present the resulting forecasts on clear line charts so that performance trends are immediately visible.

Please work in Python; pandas for data wrangling, scikit-learn for the implementation, and matplotlib or Plotly for the visual layer are ideal. If you prefer a different yet equivalent library, just let me know—what matters most is reliable, well-documented code I can rerun on new price feeds.

Deliverables I need: • Fully commented source code (Jupyter notebook or.py script) • Saved, reusable model and any preprocessing pipelines • Line-chart visualizations comparing actual vs. predicted values • A brief read-me explaining setup steps and interpretation of the results

If you see opportunities to extend accuracy—say, by adding feature engineering or tuning hyperparameters—I’m open to your suggestions, provided the Random Forest remains the primary learner. Budget: GBP 250–750 Skills: Python, Software Architecture, Statistics, Machine Learning (ML), Statistical Analysis, Data Visualization, Data Analysis, Time Series Analysis