
Trade Dashboard
The firm is planning to introduce an AI-powered trade recommendation dashboard for internal use by its investment teams. The tool will integrate multiple real-time data sources, including market data feeds, economic indicators, news sentiment, analyst reports, and alternative datasets, to generate actionable trade ideas across asset classes. Design a desktop-first AI Trade Recommendation Dashboard that enables users to: - View AI-generated trade ideas with confidence scores and risk-return assessments. - Understand the reasoning behind recommendations via explainable AI modules, such as feature importance, contributing factors, and supporting news. - Filter trades by asset class, strategy type, holding period, and risk tolerance. - Run backtests or forward simulations on suggested trades. Integrate market, sentiment, and alternative data in a unified view. - Track recommended trades over time and compare them to executed trades for performance attribution. - Collaborate by commenting on, modifying, and sharing AI-generated ideas with team members. - Set alerts for new recommendations in specific markets or strategies. - Ensure compliance with internal trading rules and regulatory requirements.
The firm is planning to introduce an AI-powered trade recommendation dashboard for internal use by its investment teams. The tool will integrate multiple real-time data sources, including market data feeds, economic indicators, news sentiment, analyst reports, and alternative datasets, to generate actionable trade ideas across asset classes. Design a desktop-first AI Trade Recommendation Dashboard that enables users to: - View AI-generated trade ideas with confidence scores and risk-return assessments. - Understand the reasoning behind recommendations via explainable AI modules, such as feature importance, contributing factors, and supporting news. - Filter trades by asset class, strategy type, holding period, and risk tolerance. - Run backtests or forward simulations on suggested trades. Integrate market, sentiment, and alternative data in a unified view. - Track recommended trades over time and compare them to executed trades for performance attribution. - Collaborate by commenting on, modifying, and sharing AI-generated ideas with team members. - Set alerts for new recommendations in specific markets or strategies. - Ensure compliance with internal trading rules and regulatory requirements.
The firm is planning to introduce an AI-powered trade recommendation dashboard for internal use by its investment teams. The tool will integrate multiple real-time data sources, including market data feeds, economic indicators, news sentiment, analyst reports, and alternative datasets, to generate actionable trade ideas across asset classes. Design a desktop-first AI Trade Recommendation Dashboard that enables users to: - View AI-generated trade ideas with confidence scores and risk-return assessments. - Understand the reasoning behind recommendations via explainable AI modules, such as feature importance, contributing factors, and supporting news. - Filter trades by asset class, strategy type, holding period, and risk tolerance. - Run backtests or forward simulations on suggested trades. Integrate market, sentiment, and alternative data in a unified view. - Track recommended trades over time and compare them to executed trades for performance attribution. - Collaborate by commenting on, modifying, and sharing AI-generated ideas with team members. - Set alerts for new recommendations in specific markets or strategies. - Ensure compliance with internal trading rules and regulatory requirements.
PROJECT DETAILS
Year
2025
Duration
48 Hours
Deliverables
Stakeholder understanding, Workflows, Sketches, Wireframes














