LangChain Automate

LangChain Automate streamlines stock analysis through Telegram, enabling users to receive real-time technical evaluations and chart generation based on their specified ticker symbols and chart styles. This automated workflow integrates with multiple tools, ensuring seamless communication and analysis, ultimately empowering traders with actionable insights without requiring technical expertise.

7/8/2025
35 nodes
Complex
webhookcomplexlangchaintelegramtriggertelegramexecuteworkflowtriggerairtabletoolsplitinbatchesschedule triggerairtablesticky noteautomationadvancedcommunicationbotapiintegrationlogicroutingcron
Categories:
Communication & MessagingBusiness Process AutomationData Processing & AnalysisWebhook TriggeredComplex Workflow
Integrations:
LangChainTelegramTriggerTelegramExecuteWorkflowTriggerAirtableToolSplitInBatchesSchedule TriggerAirtableSticky Note

Target Audience

This workflow is ideal for:
- Traders and Investors: Those looking to analyze stock data and generate insights on stock performance.
- Financial Analysts: Professionals who require automated tools for technical analysis of financial charts.
- Developers: Individuals wanting to integrate AI capabilities into their applications using Telegram and LangChain.
- Businesses: Companies that aim to automate their stock analysis processes to enhance decision-making.
- Educators and Students: Those interested in learning about stock analysis and automation in finance.

Problem Solved

This workflow addresses the challenge of obtaining real-time stock analysis without the need for manual intervention. It allows users to:
- Automatically receive stock chart analyses based on user requests via Telegram.
- Utilize advanced AI capabilities to interpret stock charts, enabling users to make informed trading decisions.
- Save and manage stock tickers for future reference and analysis.
- Streamline the process of gathering and analyzing stock data, thus saving time and reducing complexity.

Workflow Steps

  • Trigger: The workflow starts with a Telegram Trigger that listens for incoming messages.
    2. Message Processing: The message is processed to determine if it contains text or voice input using a Switch node.
    3. Text and Voice Handling:
    - If text is detected, it is stored for further analysis.
    - If a voice message is received, it is downloaded and transcribed using the Transcribe node.
    4. AI Interaction: The transcribed or text message is sent to the AI Agent for analysis, which generates a request for stock analysis.
    5. Chart Generation: The Get Chart node is called to generate stock charts based on user-defined parameters (ticker and chart style).
    6. Technical Analysis: The generated chart is analyzed by the Technical Analysis node, providing insights into market trends, RSI, and other metrics.
    7. Results Delivery: The analysis and charts are sent back to the user via Telegram using the Send Analysis and Send Chart nodes.
    8. Data Management: Users can save tickers for future analysis using the Save Ticker node, which stores them in Airtable.
    9. Scheduled Analysis: The workflow can also be triggered on a schedule, allowing for regular updates and analyses of saved tickers.

    • Customization Guide

    Users can customize this workflow by:
    - Modifying Trigger Settings: Change the Telegram Trigger settings to listen for different types of messages or commands.
    - Adjusting Parameters: Update the chart styles and ticker symbols in the Get Chart node to suit specific analysis needs.
    - Changing AI Instructions: Alter the system messages and instructions in the AI Agent and Technical Analysis nodes to refine the analysis approach.
    - Integrating Additional Tools: Add more nodes for other financial data sources or analysis tools as needed.
    - Scheduling: Modify the Schedule Trigger settings to adjust the frequency of automated analyses based on user preferences.
    - Airtable Integration: Customize the Airtable base and table structure to accommodate additional data fields or records.