Mid-Term Technical Analysis AI Agent for Tesla Stock - n8n Workflow

Quantitative financial analysts and algorithmic traders.
Users seeking specialized, modular AI agents within their n8n templates.
Developers building complex, multi-stage n8n workflow automations for market data.
Teams needing automated interpretation of technical indicators (RSI, BBANDS, MACD) in an n8n environment.

This specialized n8n workflow functions as the Tesla 1-Hour Technical Indicators Analyst AI, a crucial component within a larger trading system (often triggered by a parent n8n workflow, like a Financial Market Analyst Tool). The core problem it solves is transforming raw, time-series indicator data into actionable, interpretative insights regarding Tesla’s mid-term trend.

Unlike simple data fetching, this n8n workflow leverages the power of GPT-4.1 to apply expert knowledge, determining market conditions (e.g., overbought/oversold, trend strength) based on multiple synchronized indicator readings. This modular design ensures that complex financial reasoning is handled efficiently by a dedicated n8n node, maximizing reliability and context retention through a Simple Memory module. This high-value n8n template is designed for precise, low-latency market analysis.

This modular n8n workflow is designed to be executed on demand by a parent workflow, functioning as a specialized sub-tool. The entire process hinges on the 'Tesla 1hour Indicators Agent' n8n node, which orchestrates the data flow and reasoning.

1. Trigger: The n8n trigger is the 'When Executed by Another Workflow' n8n node, which receives an input message and session ID from the main trading automation n8n workflow.


2. Data Retrieval (Tool Call): The 'Tesla 1hour Indicators Agent' first utilizes the '1hour Data' n8n node (an HTTP Request Tool). This tool calls a secure external webhook endpoint responsible for fetching pre-processed, 1-hour interval technical indicator data for Tesla (TSLA) from services like Alpha Vantage. Only the latest 20 data points are returned.


3. Context Management: A 'Simple Memory' n8n node is connected to the agent, ensuring that context (the sessionId) is maintained across various requests, allowing the agent to provide consistent analysis.


4. AI Reasoning: The agent—powered by the 'OpenAI Chat Model' (GPT-4.1)—ingests the data and the user's initial prompt (the message). The comprehensive system prompt guides the AI to parse the latest indicator values (RSI, BBANDS, MACD, etc.), interpret the current mid-term trend (1-hour timeframe), and assess momentum.


5. Output: The n8n node concludes by generating a structured JSON object containing a summarized trend analysis and the latest numerical values for all indicators. This clean output is then passed back to the calling n8n workflow for final signal generation.

To deploy this specialized n8n workflow template, follow these steps:

1. Import: Import the provided n8n workflow JSON file into your n8n instance.


2. OpenAI Credential Setup: Ensure you have an 'OpenAi account' credential set up and linked to the 'OpenAI Chat Model' n8n node. This typically requires your OpenAI API key.


3. Data Feed Dependency: This n8n workflow relies on a separate, preceding workflow (the 'Tesla 1hour Webhook Tool') to clean and deliver Alpha Vantage data to the webhook URL specified in the '1hour Data' n8n node. You must ensure the webhook URL is active and correctly configured to return the structured indicator JSON.


4. Workflow Linking: Verify that your parent n8n workflow (e.g., 'Tesla Financial Market Data Analyst Tool') is correctly configured to use the 'Execute Workflow' n8n node to call this specific sub-workflow, passing the required message and sessionId inputs to the n8n trigger.

This n8n workflow relies on advanced LangChain nodes and standard n8n nodes for data orchestration:

When Executed by Another Workflow (n8n Trigger):
Function: Serves as the activation point, allowing the modular n8n workflow to be called by a master n8n workflow automation.
Key Configuration: Accepts message and sessionId inputs.

Tesla 1hour Indicators Agent (n8n node):
Function: The central orchestrator, managing data retrieval, memory, and AI reasoning using the dedicated system prompt for 1-hour TSLA technical analysis.
Key Configuration: Uses an extensive system message defining its role, required tools (RSI, BBANDS, MACD, etc.), and the precise JSON output format.

OpenAI Chat Model (n8n node):
Function: Provides the Large Language Model reasoning capability, configured here to use gpt-4.1 for high-quality financial interpretation.
Key Configuration: Linked via 'OpenAi account' credential.

1hour Data (n8n node - HTTP Request Tool):
Function: Acts as a specific tool the AI agent can invoke to fetch the necessary market indicator data from an external, secured webhook.
Key Configuration: URL is set to the pre-cleaned data feed webhook (https://treasurium.app.n8n.cloud/webhook/1hourData).

Simple Memory (n8n node):
Function: Stores and retrieves short-term conversation context, ensuring the AI agent maintains continuity within a single analytical session.