Multi-Asset Trading Platform Development. Bids preferable from developers based in Navi Mumbai (Vashi)
Budget: ₹750 – ₹1,250 INR
The goal is to ship a single, cohesive trading application that runs smoothly on desktop, web, and mobile. It needs to ingest live feeds from major stock exchanges and commodities markets, blend those with financial-news APIs in real time, and present the data through an intuitive interface.
Core functionality includes:
• Real-time data analysis with customizable dashboards and charting
• Automated trading algorithms triggered by user-defined rules as well as news sentiment or technical indicators
• Portfolio management—performance metrics, risk analysis, and P&L across multiple broker accounts
Implementation should emphasise low-latency data handling, secure authentication, and the flexibility to plug in additional data providers or execution venues later on. Clean, well-documented code is essential; I prefer a modular architecture that separates data ingestion, strategy logic, and UI so updates can roll out per component without full redeployments.
Deliverables
1. Cross-platform installers / builds (Windows, macOS, Linux), responsive web app, and mobile builds (iOS, Android)
2. Source code with setup instructions and comments
3. API connectors for the selected stock exchanges, commodities feeds, and news services, all wired into a unified data layer
4. At least one sample automated strategy that can be enabled or disabled in settings
5. Portfolio and risk dashboard with basic export options (CSV/PDF)
6. Test suite covering critical paths—data ingestion, order execution, and performance calculations
Acceptance criteria: the platform streams tick data with sub-second delay, executes test orders on a sandbox account without manual intervention, and keeps portfolio metrics in sync across all devices within 5 seconds.
If this aligns with your skill set, let me know which technologies and frameworks you’d use so we can lock in the roadmap.
Core functionality includes:
• Real-time data analysis with customizable dashboards and charting
• Automated trading algorithms triggered by user-defined rules as well as news sentiment or technical indicators
• Portfolio management—performance metrics, risk analysis, and P&L across multiple broker accounts
Implementation should emphasise low-latency data handling, secure authentication, and the flexibility to plug in additional data providers or execution venues later on. Clean, well-documented code is essential; I prefer a modular architecture that separates data ingestion, strategy logic, and UI so updates can roll out per component without full redeployments.
Deliverables
1. Cross-platform installers / builds (Windows, macOS, Linux), responsive web app, and mobile builds (iOS, Android)
2. Source code with setup instructions and comments
3. API connectors for the selected stock exchanges, commodities feeds, and news services, all wired into a unified data layer
4. At least one sample automated strategy that can be enabled or disabled in settings
5. Portfolio and risk dashboard with basic export options (CSV/PDF)
6. Test suite covering critical paths—data ingestion, order execution, and performance calculations
Acceptance criteria: the platform streams tick data with sub-second delay, executes test orders on a sandbox account without manual intervention, and keeps portfolio metrics in sync across all devices within 5 seconds.
If this aligns with your skill set, let me know which technologies and frameworks you’d use so we can lock in the roadmap.