Predictive AI Model for Financial Patterns
Budget: $750 – $1,500 USD
I'm in need of an AI model that can predict outcomes in a binary pattern system, specifically with financial data. This model should utilize deep learning techniques, particularly Long Short-Term Memory (LSTM) networks, and historical pattern analysis to achieve over 90% accuracy in predictions. Additionally, the model should be able to provide smart decision-making recommendations for managing risk.
Key Requirements:
- The model should be trained primarily on financial data. This could encompass data from various financial sectors, such as the stock market, cryptocurrency market, and forex market.
- The historical financial data will be provided in Excel sheets, so the model should be able to process and learn from this format efficiently.
Ideal Skills and Experience:
- Proficiency in AI and machine learning, with a particular expertise in deep learning and LSTM networks.
- Strong background in financial data analysis.
- Experience in developing predictive models and risk management systems.
Key Requirements:
- The model should be trained primarily on financial data. This could encompass data from various financial sectors, such as the stock market, cryptocurrency market, and forex market.
- The historical financial data will be provided in Excel sheets, so the model should be able to process and learn from this format efficiently.
Ideal Skills and Experience:
- Proficiency in AI and machine learning, with a particular expertise in deep learning and LSTM networks.
- Strong background in financial data analysis.
- Experience in developing predictive models and risk management systems.