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Tesla 1day indicators tool (Macro-Level Technical AI)

Don Jayamaha JrDon Jayamaha Jr
785 views
2/3/2026
Official Page

📅 Analyze Tesla’s daily trading structure with AI using 6 Alpha Vantage indicators. This tool evaluates long-term trend health, volatility patterns, and potential reversal signals at the 1-day timeframe. Designed for use within the Tesla Financial Market Data Analyst Tool, this agent helps swing and position traders anchor macro sentiment.

⚠️ Not standalone. Must be executed via Execute Workflow 🔌 Requires:


🔍 What It Does

This tool queries a secured webhook (/1dayData) to retrieve real-time, trimmed JSON data for:

  • RSI (Relative Strength Index)
  • BBANDS (Bollinger Bands)
  • SMA (Simple Moving Average)
  • EMA (Exponential Moving Average)
  • ADX (Average Directional Index)
  • MACD (Moving Average Convergence Divergence)

These values are then passed to a LangChain AI Agent powered by GPT-4.1, which returns:

  • A 2–3 sentence market condition summary
  • Structured indicator values
  • Timeframe tag ("1d")

📋 Sample Output

{
  "summary": "TSLA shows consolidation on the daily chart. RSI is neutral, BBANDS are contracting, and MACD is flattening.",
  "timeframe": "1d",
  "indicators": {
    "RSI": 51.3,
    "BBANDS": {
      "upper": 192.80,
      "lower": 168.20,
      "middle": 180.50,
      "close": 179.90
    },
    "SMA": 181.10,
    "EMA": 179.75,
    "ADX": 15.8,
    "MACD": {
      "macd": -0.25,
      "signal": -0.20,
      "histogram": -0.05
    }
  }
}

🧠 Agent Components

| Component | Description | | ----------------------------- | -------------------------------------------------- | | 1day Data (HTTP Node) | Pulls latest data from secured /1dayData webhook | | OpenAI Chat Model | GPT-4.1 powers the analysis logic | | Tesla 1day Indicators Agent | LangChain agent performing interpretation | | Simple Memory | Short-term session continuity |


🛠️ Setup Instructions

  1. Import Workflow into n8n

    • Name: Tesla_1day_Indicators_Tool
  2. Add Required Credentials

    • Alpha Vantage Premium (via HTTP Query Auth)
    • OpenAI GPT-4.1 (Chat Model)
  3. Install Webhook Fetcher

  4. Execution Context This tool is only triggered via: 👉 Tesla Financial Market Data Analyst Tool

    • Inputs expected:

      • message: optional context
      • sessionId: session memory linkage

📌 Sticky Notes Overview

📘 Tesla 1-Day Indicators Tool – Purpose and integration 📡 Webhook Fetcher – Pulls daily Alpha Vantage data via HTTPS 🧠 GPT-4.1 Model – Reasoning for trend classification 🔗 Sub-Agent Trigger – Used only by Financial Market Analyst 🧠 Memory Buffer – Ensures consistent session logic


🔒 Licensing & Support

© 2025 Treasurium Capital Limited Company This workflow—including prompts, logic, and formatting—is protected IP.

🔗 Don Jayamaha – LinkedIn 🔗 Creator Profile


🚀 Evaluate long-term Tesla price behavior with AI-enhanced technical analysis—critical for swing trading strategy. Required by the Tesla Financial Market Data Analyst Tool.

AI-Powered Tesla 1-Day Indicators Tool (Macro-Level Technical Analysis)

This n8n workflow leverages AI to provide macro-level technical indicators for Tesla's 1-day stock performance. It acts as a specialized AI agent that can be triggered by another workflow, making it a powerful component for broader financial analysis or reporting systems.

What it does

This workflow is designed to be a sub-workflow, meaning it's executed by another n8n workflow. When triggered, it utilizes an AI agent powered by an OpenAI Chat Model and a simple memory buffer to process requests related to Tesla's 1-day technical indicators.

  1. Listens for Execution: The workflow starts when it's explicitly called by another n8n workflow.
  2. Initializes AI Agent: An AI Agent node is set up to handle the core logic and reasoning.
  3. Configures Language Model: It uses an OpenAI Chat Model as the underlying language model for the AI agent, enabling it to understand and generate responses.
  4. Establishes Memory: A Simple Memory (Buffer Window) is used to give the AI agent a short-term memory, allowing for more coherent and context-aware interactions within a single execution.
  5. Processes Request: The AI Agent, using the OpenAI model and its memory, processes the input received from the triggering workflow to generate macro-level technical indicators for Tesla's 1-day performance.

Prerequisites/Requirements

  • n8n Instance: A running n8n instance.
  • OpenAI Account: An OpenAI API key with access to their chat models. This will need to be configured as an n8n credential.

Setup/Usage

  1. Import the Workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure OpenAI Credentials:
    • In n8n, go to "Credentials".
    • Add a new credential of type "OpenAI API".
    • Enter your OpenAI API key.
    • Name the credential appropriately (e.g., OpenAI-Key).
  3. Connect Credentials:
    • Open the imported workflow.
    • Locate the "OpenAI Chat Model" node.
    • In the node's settings, select your newly created OpenAI API credential.
  4. Trigger from Another Workflow: This workflow is designed to be called by an "Execute Workflow" node in another n8n workflow. The triggering workflow would pass the necessary input (e.g., a prompt asking for specific Tesla indicators) to this workflow.

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