Telegram-Driven Tradetron Strategy
Budget: ₹600 – ₹1,500 INR
I already receive both buy and sell stock signals through a dedicated Telegram channel and want every alert to translate automatically into live entries and exits on Tradetron. The job is to build a complete Tradetron strategy that listens to my channel, decodes each message, and triggers the corresponding order without manual intervention.
Core task
• Connect the Telegram API or a webhook to capture every signal in real time.
• Map the message fields (symbol, side, quantity, stop-loss, targets, time validity, etc.) to Tradetron conditions and position builders.
• Handle both fresh entries and exits so reversals or partial closes are executed cleanly.
• Include safeguards for malformed messages, network delays, and market-hour checks.
Acceptance criteria
1. A working Tradetron strategy visible in my account that initiates and closes stock trades exactly as the Telegram messages dictate.
2. A lightweight parser script (Python or node is fine) with clear instructions so I can edit the message format later if the channel changes.
3. A short Loom or written walkthrough showing one end-to-end trade fired from Telegram and filled in a paper-trading deployment. Once this is proven, we will switch to live.
If you have handled Telegram bots, webhooks, or Tradetron automations before, this should be straightforward; if you can suggest extra risk controls or logging, even better.
Core task
• Connect the Telegram API or a webhook to capture every signal in real time.
• Map the message fields (symbol, side, quantity, stop-loss, targets, time validity, etc.) to Tradetron conditions and position builders.
• Handle both fresh entries and exits so reversals or partial closes are executed cleanly.
• Include safeguards for malformed messages, network delays, and market-hour checks.
Acceptance criteria
1. A working Tradetron strategy visible in my account that initiates and closes stock trades exactly as the Telegram messages dictate.
2. A lightweight parser script (Python or node is fine) with clear instructions so I can edit the message format later if the channel changes.
3. A short Loom or written walkthrough showing one end-to-end trade fired from Telegram and filled in a paper-trading deployment. Once this is proven, we will switch to live.
If you have handled Telegram bots, webhooks, or Tradetron automations before, this should be straightforward; if you can suggest extra risk controls or logging, even better.
Related categories:
Python
Node.js
Software Development
Risk Management
Automation
API Integration
Market Analysis
Telegram API