Teach an agent to trade with signals and logging
spent another day researching and testing @manuscommunity and their bot. Task: The user attempted to teach a Manus agent to trade by importing or creating skills. When Manus failed to access real-time chart data due to 5-minute scan limits, it proposed generating a Python script for the user's terminal. The script integrated ProjectX APIs and a Telegram bot for real-time signals, while logging trade metadata to Google Sheets and CSV files.; tools: Manus. Human role: The original post does not say how a person stayed involved.; limitations: Manus initially lacked direct real-time data access, requiring a workaround via local Python execution. The setup involved manual steps for API key input and Telegram bot creation. Strategy refinement is an ongoing process dependent on accumulated data logs..
Tools
Published on Agent Work Atlas:
Overview
spent another day researching and testing @manuscommunity and their bot.
Workflow
The user attempted to teach a Manus agent to trade by importing or creating skills. When Manus failed to access real-time chart data due to 5-minute scan limits, it proposed generating a Python script for the user's terminal. The script integrated ProjectX APIs and a Telegram bot for real-time signals, while logging trade metadata to Google Sheets and CSV files.
Reported result
The system is currently operational, but no performance metrics or trading outcomes are reported. The user plans to review the data logs with Manus to refine the strategy over time. Success is pending future evaluation.
Human role
The original post does not say how a person stayed involved.
Limitations
Manus initially lacked direct real-time data access, requiring a workaround via local Python execution. The setup involved manual steps for API key input and Telegram bot creation. Strategy refinement is an ongoing process dependent on accumulated data logs.
Try it
Act as a trading automation assistant. I want to build a signal generation system using Manus and a local Python script. First, analyze my trading strategy requirements: [replaceable inputs: strategy type, timeframes, indicators]. Since Manus may have latency issues with real-time data, propose a Python script architecture that fetches data via [replaceable inputs: API provider, e.g., ProjectX] and sends alerts via [replaceable inputs: notification channel, e.g., Telegram]. Include code to log all trade signals and metadata to [replaceable inputs: storage location, e.g., Google Sheets/CSV]. Before generating the full script, provide a small sample dry run of the data fetching and logging logic for my review. Do not execute any trades or send live alerts without my explicit confirmation. If API keys are missing, ask for them securely. Output the Python code, setup instructions for the Telegram bot, and a sample log format.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.