creation

2026-04-28 00:29:22 +00:00 · 2025-11-12 13:05:59 +01:00
parent 4aaf7d5caa
commit 53425e8128
1 changed files with 265 additions and 0 deletions
@@ -0,0 +1,265 @@
+Tesla 1day Indicators Tool (Macro-Level Technical AI)
+
+https://n8nworkflows.xyz/workflows/tesla-1day-indicators-tool--macro-level-technical-ai--4098
+
+
+# Tesla 1day Indicators Tool (Macro-Level Technical AI)
+
+### 1. Workflow Overview
+
+This workflow, **Tesla 1day Indicators Tool (Macro-Level Technical AI)**, is designed to perform daily timeframe technical analysis of Tesla (TSLA) stock price action using six key Alpha Vantage indicators. It is intended for swing and position traders to understand macro-level market sentiment and trend health.
+
+The workflow is **not standalone**; it must be triggered via an external workflow, specifically the Tesla Financial Market Data Analyst Tool. It relies on a secured webhook to fetch pre-processed indicator data, then uses an AI agent powered by OpenAI’s GPT-4.1 via LangChain to analyze and summarize the data into a concise market condition report.
+
+**Logical Blocks:**
+
+- **1.1 Input Reception:** Trigger node that receives execution calls and session context from the parent workflow.
+- **1.2 AI Agent Setup and Memory:** LangChain AI agent configured with GPT-4.1 and a short-term memory buffer to maintain session context.
+- **1.3 Data Retrieval:** HTTP request node fetching Tesla daily interval indicator data via a secured webhook.
+- **1.4 AI Processing:** The AI agent processes the fetched indicator data and contextual session memory to output a structured JSON summary of Tesla’s daily market condition.
+
+---
+
+### 2. Block-by-Block Analysis
+
+#### 1.1 Input Reception
+
+- **Overview:**  
+  This block receives execution triggers and input parameters from the Tesla Financial Market Data Analyst Tool, allowing session linkage and optional contextual messaging.
+
+- **Nodes Involved:**  
+  - `When Executed by Another Workflow`
+
+- **Node Details:**
+
+  - **When Executed by Another Workflow**  
+    - **Type:** Execute Workflow Trigger  
+    - **Role:** Entry point; activated when called by another workflow (parent)  
+    - **Configuration:**  
+      - Accepts two inputs: `message` (optional context string), `sessionId` (for session memory linkage)  
+    - **Input:** Trigger from external workflow call  
+    - **Output:** Passes inputs downstream to AI agent  
+    - **Version Requirements:** n8n 0.188+ recommended for Execute Workflow Trigger node stability  
+    - **Potential Failures:** Missing required inputs, workflow execution errors if parent workflow misconfigured  
+    - **Sticky Note:**  
+      > Trigger from Parent Workflow: This node activates the workflow when called to execute Workflow action from the Tesla Financial Market Analyst Tool. Ensure proper inputs `message`, `sessionId` are passed.
+
+---
+
+#### 1.2 AI Agent Setup and Memory
+
+- **Overview:**  
+  Configures the AI agent using LangChain with OpenAI GPT-4.1 for interpreting Tesla’s daily technical indicators. Maintains short-term memory to ensure session consistency across multiple invocations.
+
+- **Nodes Involved:**  
+  - `Tesla 1day Indicators Agent`  
+  - `OpenAI Chat Model`  
+  - `Simple Memory`
+
+- **Node Details:**
+
+  - **Tesla 1day Indicators Agent**  
+    - **Type:** LangChain Agent Node  
+    - **Role:** Core AI logic interpreting indicator data and generating output  
+    - **Configuration:**  
+      - Uses input `message` as prompt text  
+      - System message defines role as Tesla 1-Day Technical Indicators Analyst AI  
+      - Specifies access to 6 Alpha Vantage indicators and their meaning  
+      - Details data workflow: receives latest 20 trimmed indicator values from webhook  
+      - Outputs structured JSON summary with `summary`, `timeframe`, and `indicators` fields  
+      - Integrates with `OpenAI Chat Model` as language model and `Simple Memory` as memory buffer  
+    - **Key Expressions:**  
+      - Prompt text: `={{ $json.message }}` forwarded from trigger  
+      - System message contains detailed instructions and output format  
+    - **Inputs:**  
+      - Accepts inputs from `When Executed by Another Workflow` and from `1day Data` (indicator data) and `Simple Memory` (context)  
+    - **Outputs:**  
+      - AI-generated JSON summary  
+    - **Version Requirements:** n8n LangChain nodes version 1.8+ recommended for latest features  
+    - **Potential Failures:**  
+      - Invalid or missing input data  
+      - OpenAI API errors (auth, rate limits, timeouts)  
+      - Prompt interpretation errors leading to malformed output  
+    - **Sticky Note:**  
+      > Tesla 1-Day Technical Indicators AI  
+      > • Processes the webhook data and performs daily timeframe evaluation for TSLA.  
+      > • Outputs a JSON summary of market condition, trend state, and all indicator values.  
+      > • This feeds into the broader Tesla Financial Market Data Analyst.
+
+  - **OpenAI Chat Model**  
+    - **Type:** LangChain OpenAI Chat Model Node  
+    - **Role:** Provides GPT-4.1 language model processing for the LangChain agent  
+    - **Configuration:**  
+      - Model set to `gpt-4.1`  
+      - Credentials linked to OpenAI API key  
+    - **Inputs:** Receives prompt from agent node  
+    - **Outputs:** Returns AI-generated completions to agent  
+    - **Potential Failures:**  
+      - API key misconfiguration  
+      - Network issues  
+      - OpenAI rate limits or quota exhaustion  
+    - **Sticky Note:**  
+      > GPT Model for Reasoning  
+      > Utilizes OpenAI GPT-4.1 to interpret technical indicators and generate long-term trend analysis and structured JSON output.
+
+  - **Simple Memory**  
+    - **Type:** LangChain Memory Buffer Window Node  
+    - **Role:** Maintains short-term session memory for consistent AI contextual reasoning  
+    - **Configuration:** Default memory buffer, no special parameters  
+    - **Inputs:** Receives sessionId from trigger node  
+    - **Outputs:** Supplies memory context to AI agent  
+    - **Potential Failures:**  
+      - Loss of session context if sessionId is missing or inconsistent  
+    - **Sticky Note:**  
+      > Short-Term Memory Module  
+      > Maintains context across requests within the same session. Supports consistent logic between indicator evaluations for the Tesla Financial Market Analyst Tool.
+
+---
+
+#### 1.3 Data Retrieval
+
+- **Overview:**  
+  Fetches Tesla daily timeframe technical indicator data as JSON from a secured webhook endpoint, which itself queries Alpha Vantage’s Premium API and returns trimmed latest 20 values.
+
+- **Nodes Involved:**  
+  - `1day Data`
+
+- **Node Details:**
+
+  - **1day Data**  
+    - **Type:** HTTP Request Node  
+    - **Role:** Retrieves prepared Tesla daily indicator data for input to AI agent  
+    - **Configuration:**  
+      - Method: GET  
+      - URL: `https://treasurium.app.n8n.cloud/webhook/1dayData` (secured webhook)  
+      - No additional query parameters or headers set here; credentials handled by webhook service  
+    - **Inputs:** None (triggered downstream from AI agent node with integration)  
+    - **Outputs:** JSON containing latest 20 trimmed values for RSI, BBANDS, SMA, EMA, ADX, MACD  
+    - **Potential Failures:**  
+      - Network timeouts  
+      - Webhook not active or inaccessible  
+      - Data format changes from webhook source  
+      - Alpha Vantage API quota or auth issues propagated through webhook  
+    - **Sticky Note:**  
+      > 1-Day Indicator Data from Alpha Vantage  
+      > Makes an HTTP call to a secured webhook, which fetches Tesla 1-day interval indicators (RSI, BBANDS, SMA, EMA, ADX, MACD) via Alpha Vantage Premium API. Only the latest 20 values are returned, cleaned and trimmed.
+
+---
+
+#### 1.4 AI Processing and Output Generation
+
+- **Overview:**  
+  The LangChain AI agent combines the incoming webhook data and memory context to analyze Tesla’s daily technical indicators, inferring trend status, volatility, and momentum, and returns a structured JSON summary used by the parent financial analyst tool.
+
+- **Nodes Involved:**  
+  - `Tesla 1day Indicators Agent` (as the final processor)  
+
+- **Node Details:**  
+  - See details in Block 1.2 for the agent node’s processing configuration and output.  
+  - Output Format Example:  
+    ```json
+    {
+      "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
+        }
+      }
+    }
+    ```
+  - Potential Failures: See AI Agent node details  
+
+---
+
+### 3. Summary Table
+
+| Node Name                      | Node Type                               | Functional Role                                  | Input Node(s)                     | Output Node(s)                      | Sticky Note                                                                                                    |
+|-------------------------------|---------------------------------------|-------------------------------------------------|----------------------------------|-----------------------------------|---------------------------------------------------------------------------------------------------------------|
+| When Executed by Another Workflow | Execute Workflow Trigger               | Entry trigger from parent workflow with context | External call                    | Tesla 1day Indicators Agent       | Trigger from Parent Workflow: This node activates the workflow when called to execute Workflow action from the Tesla Financial Market Analyst Tool. Ensure proper inputs `message`, `sessionId` are passed. |
+| Tesla 1day Indicators Agent    | LangChain Agent                       | Core AI agent processing indicator data         | When Executed by Another Workflow, 1day Data, Simple Memory | -                                 | Tesla 1-Day Technical Indicators AI: Processes webhook data, performs daily evaluation, outputs JSON summary feeding Tesla Financial Market Data Analyst. |
+| OpenAI Chat Model              | LangChain OpenAI Chat Model           | Provides GPT-4.1 LLM for AI reasoning            | Tesla 1day Indicators Agent      | Tesla 1day Indicators Agent       | GPT Model for Reasoning: Uses OpenAI GPT-4.1 to interpret technical indicators and generate JSON output.       |
+| Simple Memory                  | LangChain Memory Buffer Window        | Maintains session context for consistent AI logic | When Executed by Another Workflow | Tesla 1day Indicators Agent       | Short-Term Memory Module: Maintains context across requests within the same session for consistent logic.      |
+| 1day Data                     | HTTP Request Node                     | Fetches Tesla daily technical indicator data     | None                            | Tesla 1day Indicators Agent       | 1-Day Indicator Data from Alpha Vantage: Calls secured webhook returning trimmed latest 20 values for RSI, BBANDS, SMA, EMA, ADX, MACD. |
+
+---
+
+### 4. Reproducing the Workflow from Scratch
+
+1. **Create Trigger Node**  
+   - Add **Execute Workflow Trigger** node named `When Executed by Another Workflow`  
+   - Configure inputs: `message` (string, optional), `sessionId` (string)  
+   - Position early in workflow (e.g., x=160, y=-200)
+
+2. **Set Up LangChain AI Agent**  
+   - Add **LangChain Agent** node named `Tesla 1day Indicators Agent`  
+   - Set parameter `text` to expression: `={{ $json.message }}`  
+   - Under options, paste the detailed system message specifying the AI role, indicators, data workflow, and required JSON output format (refer to overview for full system message)  
+   - Connect input from `When Executed by Another Workflow` node
+
+3. **Configure OpenAI Chat Model**  
+   - Add **LangChain OpenAI Chat Model** node named `OpenAI Chat Model`  
+   - Set model to `gpt-4.1`  
+   - Connect this node as the `ai_languageModel` credential/source in the LangChain Agent node  
+   - Attach valid OpenAI GPT-4.1 API credentials to this node
+
+4. **Add Short-Term Memory Module**  
+   - Add **LangChain Memory Buffer Window** node named `Simple Memory`  
+   - No special parameters needed; defaults suffice  
+   - Connect input from `When Executed by Another Workflow` node (to receive sessionId)  
+   - Link output as `ai_memory` to the LangChain Agent node
+
+5. **Add HTTP Request Node for Data Fetching**  
+   - Add **HTTP Request** node named `1day Data`  
+   - Set method to GET  
+   - Set URL to: `https://treasurium.app.n8n.cloud/webhook/1dayData`  
+   - No additional query parameters or headers required here  
+   - Connect output as `ai_tool` input to the LangChain Agent node
+
+6. **Wire Connections**  
+   - `When Executed by Another Workflow` connects main output to `Tesla 1day Indicators Agent` main input  
+   - `Simple Memory` output connects to `Tesla 1day Indicators Agent` memory input  
+   - `OpenAI Chat Model` output connects to `Tesla 1day Indicators Agent` language model input  
+   - `1day Data` output connects to `Tesla 1day Indicators Agent` tool input
+
+7. **Credentials Setup**  
+   - Create and add `OpenAI GPT-4.1` API key credential for the OpenAI Chat Model node  
+   - Ensure the secured webhook at `https://treasurium.app.n8n.cloud/webhook/1dayData` is active and accessible (provided by Tesla Quant Technical Indicators Webhooks Tool)  
+   - Alpha Vantage Premium API key is required for the webhook service but managed externally, not within this workflow
+
+8. **Naming and Positioning**  
+   - Name the workflow `Tesla 1day Indicators Tool n8n`  
+   - Arrange nodes logically for readability: Trigger → Memory + Data Fetch + OpenAI Model → AI Agent
+
+9. **Testing**  
+   - Trigger the workflow via `Execute Workflow` from the Tesla Financial Market Data Analyst Tool, passing `message` (optional) and `sessionId`  
+   - Inspect the JSON output from the LangChain Agent node for correctness and completeness
+
+---
+
+### 5. General Notes & Resources
+
+| Note Content                                                                                               | Context or Link                                                                                                 |
+|------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------|
+| This tool is designed to be triggered only via the Tesla Financial Market Data Analyst Tool and is not standalone. | Integration dependency                                                                                           |
+| Requires active webhook `/1dayData` from Tesla Quant Technical Indicators Webhooks Tool to supply indicator data. | https://n8n.io/workflows/4095-tesla-quant-technical-indicators-webhooks-tool/                                  |
+| Uses Alpha Vantage Premium API key managed externally by the webhook service for indicator data retrieval.  | Alpha Vantage API Documentation: https://www.alphavantage.co/documentation/                                    |
+| LangChain AI agent uses OpenAI GPT-4.1 for advanced technical analysis and structured output generation.    | OpenAI GPT-4 API: https://platform.openai.com/docs/models/gpt-4                                                  |
+| Session memory module ensures context continuity for consistent AI reasoning across multiple executions.    | Useful for multi-step or multi-timeframe analysis in parent workflow                                            |
+| Workflow and intellectual property © 2025 Treasurium Capital Limited Company, created by Don Jayamaha.       | LinkedIn: https://linkedin.com/in/donjayamahajr                                                                 |
+
+---
+
+This document provides a comprehensive, structured reference for understanding, reproducing, and maintaining the Tesla 1day Indicators Tool workflow. It covers node-by-node configurations, logical dependencies, potential failure points, and integration requirements for seamless operation within the Tesla financial data ecosystem.