AWS Python Scalping Bot Development
Budget: ₹10,000 – ₹25,000 INR
I want my existing scalping ideas turned into a production-ready Python algorithm that runs 24/7 on an AWS EC2 instance. The code must pull real-time market data through Dhan’s WebSocket feed, place and manage orders via the Dhan API Gateway / Order Router pipeline, and reach NSE servers with minimal latency.
Here is the full flow I need you to wire together: live data → strategy logic (kept private for now) → order execution with dynamic stop-loss and target management → detailed logging → performance reporting pushed to Excel/Google Sheets and instant Telegram alerts. Robust error handling, reconnect logic, and latency monitoring are essential so the bot can trade unattended.
Deliverables:
• Clean, well-documented Python code packaged for one-click deployment on my EC2 instance
• Configuration files or environment variables for API keys, symbols, quantity, SL/target ratios, etc.
• Logging system that stores raw ticks, order responses, and P&L in timestamped files
• Lightweight dashboard or scripts that export session stats to a spreadsheet and fire Telegram messages in real time
• A brief hand-off session walking me through setup, parameters, and how to tweak the private scalping rules without touching the core infrastructure
I work exclusively with a scalping style, so every millisecond matters. If you have prior experience building low-latency trading bots on Dhan (or similar brokers) and can demonstrate solid WebSocket handling, let’s talk.
Here is the full flow I need you to wire together: live data → strategy logic (kept private for now) → order execution with dynamic stop-loss and target management → detailed logging → performance reporting pushed to Excel/Google Sheets and instant Telegram alerts. Robust error handling, reconnect logic, and latency monitoring are essential so the bot can trade unattended.
Deliverables:
• Clean, well-documented Python code packaged for one-click deployment on my EC2 instance
• Configuration files or environment variables for API keys, symbols, quantity, SL/target ratios, etc.
• Logging system that stores raw ticks, order responses, and P&L in timestamped files
• Lightweight dashboard or scripts that export session stats to a spreadsheet and fire Telegram messages in real time
• A brief hand-off session walking me through setup, parameters, and how to tweak the private scalping rules without touching the core infrastructure
I work exclusively with a scalping style, so every millisecond matters. If you have prior experience building low-latency trading bots on Dhan (or similar brokers) and can demonstrate solid WebSocket handling, let’s talk.