Project - Predicting Stock Price Movements

Overview

Artemis faced challenges in managing the dynamics of their publicly traded shares. Shareholder contributions were directly tied to construction costs at various stages. Maintaining high share prices was critical to prevent liquidity issues and ensure construction activities continued without disruption. The company needed a strategic approach to stabilize and enhance share value, ensuring shareholder satisfaction and project financing.

Solution:

• Feature Engineering and Heuristic Roles:
  • Extracted key features from historical stock data.
  • Identified patterns in seasonal price fluctuations.
  • Assessed the impact of political news on share prices.
• Data Integration:
  • Combined engineered features into a predictive framework.
  • Utilized historical data to train the model for accuracy and reliability.
• Forecasting and Insights:
  • Delivered long-term stock price predictions.
  • Provided executives with actionable insights to strategize and manage supply-demand dynamics effectively.

Outcome:

• Enabled Artemis’s leadership to make proactive decisions based on reliable forecasts.
• Sustained shareholder confidence by stabilizing and enhancing share prices.
• Supported the seamless progress of construction projects by aligning financial strategies with operational goals.

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