HUSPI Estimations: How much does development cost

Self-Learning AI Trading Assistant (Estimation Request)

This project entails developing a sophisticated AI model that surpasses simple bots. This self-learning AI should automate and continuously optimize trading activities for the client’s customer base.

Project Details:

AI Assistant Project Scope
  • In-depth evaluation of the client’s MVP and trading data to understand specific needs and opportunities.
  • Development of a tailored AI model architecture optimized for the client’s market niche.
  • Training and implementation of the self-learning AI model for robust performance and continuous improvement.
  • Integration of the AI model with the existing MVP platform.
  • Ongoing support and maintenance to ensure the AI model’s effectiveness.
Target Group: Newer Traders Seeking Guidance

Novice Investors: Individuals who are new to trading and want guidance in making informed decisions. The AI could provide recommendations and insights based on market data.

Passive Investors Seeking Active Management: Investors who traditionally avoid active management but are interested in a data-driven approach to potentially improve returns.

Why choose HUSPI?
  • We have meticulously analyzed the project requirements and possess the expertise to develop a precise estimate.
  • Our proposal outlines a comprehensive roadmap for constructing and integrating the AI model, ensuring cost transparency and seamless implementation. We are confident in our ability to deliver a solution that exceeds expectations.
Technology Stack
  • Data Acquisition & Management:
    • Data Storage: GCP / AWS / Azure
    • Data Processing & Engineering: Python libraries like Pandas, NumPy, and libraries for data cleaning and manipulation (e.g., scikit-learn) to prepare the data for AI model training.
  • AI Model Development & Training:
    • Programming Language: Python
    • Machine Learning Framework: TensorFlow
    • Deep Learning Library: Keras

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