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Automated Brokerage Analytics with n8n & Investment Dashboard
Developed an end-to-end automation and analytics system using n8n, Supabase, and a React.js dashboard to track and analyze brokerage account activity and investment performance on a recurring basis.
Scope of Work & Implementation
Built an n8n workflow scheduled to run every Monday morning to automatically query weekly brokerage account activity from a master account.
Processed and normalized financial data, including:
Trades and transactions
Portfolio value changes
Dividend payments
Stored all structured financial data securely in a Supabase (PostgreSQL) database for long-term tracking and analysis.
Implemented math-based calculations and sorting logic to:
Validate investment performance
Support potential reweighting of investment strategies
Apply client-defined quantitative rules for decision-making
Calculated and reported weekly dividend income and computed reinvestment amounts automatically.
Dashboard Development
Designed and developed a responsive React.js dashboard styled with Tailwind CSS.
Pulled real-time and historical data directly from Supabase.
Displayed key investment metrics across multiple timeframes:
Rolling 4-week performance
90-day metrics
6-month performance
12-month performance
Presented clean, readable insights for ongoing portfolio monitoring and strategy evaluation.
Tech Stack
Automation: n8n
Backend & Database: Supabase (PostgreSQL)
Frontend: React.js, Tailwind CSS
Scheduling & Data Processing: Cron-based workflows, custom math logic
Result
The solution fully automated weekly brokerage data collection, analysis, and reporting, eliminating manual tracking while providing a clear, data-driven dashboard for evaluating investment performance and strategy adjustments.
Видео Automated Brokerage Analytics with n8n & Investment Dashboard канала Warda Owais
Scope of Work & Implementation
Built an n8n workflow scheduled to run every Monday morning to automatically query weekly brokerage account activity from a master account.
Processed and normalized financial data, including:
Trades and transactions
Portfolio value changes
Dividend payments
Stored all structured financial data securely in a Supabase (PostgreSQL) database for long-term tracking and analysis.
Implemented math-based calculations and sorting logic to:
Validate investment performance
Support potential reweighting of investment strategies
Apply client-defined quantitative rules for decision-making
Calculated and reported weekly dividend income and computed reinvestment amounts automatically.
Dashboard Development
Designed and developed a responsive React.js dashboard styled with Tailwind CSS.
Pulled real-time and historical data directly from Supabase.
Displayed key investment metrics across multiple timeframes:
Rolling 4-week performance
90-day metrics
6-month performance
12-month performance
Presented clean, readable insights for ongoing portfolio monitoring and strategy evaluation.
Tech Stack
Automation: n8n
Backend & Database: Supabase (PostgreSQL)
Frontend: React.js, Tailwind CSS
Scheduling & Data Processing: Cron-based workflows, custom math logic
Result
The solution fully automated weekly brokerage data collection, analysis, and reporting, eliminating manual tracking while providing a clear, data-driven dashboard for evaluating investment performance and strategy adjustments.
Видео Automated Brokerage Analytics with n8n & Investment Dashboard канала Warda Owais
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Информация о видео
24 января 2026 г. 20:05:31
00:04:45
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