AI Forex News Dashboard
Budget: ₹12,500 – ₹37,500 INR
I want a clean, self-contained trading dashboard that pulls together real-time stories from financial news websites and economic calendars, then runs advanced predictive modelling on every headline. For each item the interface should label the relevant currency pair, commodity, or index as likely Bullish, Bearish, or Neutral and display a confidence percentage.
The flow I have in mind is simple:
1. Aggregate news from the chosen sources, de-duplicate, and time-stamp it.
2. Pass the text through an AI model capable of more than basic sentiment—something that can weigh the macro context and output a directional probability.
3. Show the result in an uncluttered web or desktop dashboard with search, filtering by instrument class (currencies, commodities, indices) and optional pop-up or email alerts when confidence rises above a threshold I can set.
A light chart or spark-line next to each prediction would be welcome, but the must-have deliverables are the working feed, the AI inference, and the visual confidence read-out. Please include brief instructions for deploying the solution locally and an overview of any third-party APIs or libraries you use so I can maintain it myself later.
The flow I have in mind is simple:
1. Aggregate news from the chosen sources, de-duplicate, and time-stamp it.
2. Pass the text through an AI model capable of more than basic sentiment—something that can weigh the macro context and output a directional probability.
3. Show the result in an uncluttered web or desktop dashboard with search, filtering by instrument class (currencies, commodities, indices) and optional pop-up or email alerts when confidence rises above a threshold I can set.
A light chart or spark-line next to each prediction would be welcome, but the must-have deliverables are the working feed, the AI inference, and the visual confidence read-out. Please include brief instructions for deploying the solution locally and an overview of any third-party APIs or libraries you use so I can maintain it myself later.