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Generate daily Bitcoin on-chain metrics PDF report with NASDAQ data

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Generate daily Bitcoin on-chain metrics PDF report with NASDAQ data preview
Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Purpose and Audience This n8n automation workflow is designed to generate a Bitcoin Daily On Chain Metrics report in PDF format by fetching and transforming real time blockchain data. It is ideal f...

Best for

  • Crypto Trading automation workflows
  • Multimodal AI automation workflows
  • intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.manualtrigger, n8n-nodes-base.stickynote, n8n-nodes-base.set, n8n-nodes-base.httprequest, n8n-nodes-base.code

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Malik Hashir.

Original n8n.io source

1.1 Workflow description

Title
Generate daily Bitcoin on-chain metrics PDF report with NASDAQ data
Workflow name
Generate daily Bitcoin on-chain metrics PDF report with NASDAQ data

Purpose and Audience

This n8n automation workflow is designed to generate a Bitcoin Daily On-Chain Metrics report in PDF format by fetching and transforming real-time blockchain data. It is ideal for cryptocurrency analysts, traders, investors, and blockchain enthusiasts who want to monitor Bitcoin's network activity, market valuation, and security metrics efficiently.

What It Does

The workflow automates the retrieval of Bitcoin blockchain data via the Nasdaq API, processes key on-chain metrics such as transaction volume, fees, market cap, hash rate, and mining difficulty, and dynamically populates a visually appealing PDF report template. It provides a clear snapshot of Bitcoin’s network health, adoption levels, and market dynamics based on the latest available data.

Who Is It For

This workflow is perfect for crypto analysts, financial data scientists, blockchain researchers, and investors who require automated, up-to-date, and detailed Bitcoin network reports. It serves those looking to integrate real-time crypto data into their decision-making, reporting, or portfolio management processes with minimal manual intervention.

How to Setup

  1. Import the provided n8n workflow into your n8n instance.
  2. Configure API keys for Nasdaq data access and APITemplate.io for PDF generation within the workflow nodes.
  3. Trigger the workflow manually or use schedule trigger node for automatic execution to fetch the previous day's Bitcoin on-chain metrics.
  4. Review or download the generated PDF report containing all key Bitcoin metrics, including transaction volumes, market cap, miner revenue, hash rate, and more.

Note: Step by step setup guide is inlcuded with the workflow file.

Report Snapshot:

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - When clicking ‘Execute workflow’

Type / Role
n8n-nodes-base.manualTrigger - manualTrigger
Config choices
Version 1

Block 2 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 3 - Add API Key

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 4 - Get Data From Nasdaq Data Link

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 5 - Format the Output

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 6 - Combine All Items Into One Array

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 7 - Fetch, Edit and Update Template From APITemplate

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 8 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 9 - Download PDF Report

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

3. Summary Table

Workflow Generate daily Bitcoin on-chain metrics PDF report with NASDAQ data
Complexity intermediate
Nodes 9
Categories Crypto Trading, Multimodal AI
Author Malik Hashir
Published 25 Aug 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/7836/7836.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Generate daily Bitcoin on-chain metrics PDF report with NASDAQ data do?

Purpose and Audience This n8n automation workflow is designed to generate a Bitcoin Daily On Chain Metrics report in PDF format by fetching and transforming real time blockchain data. It is ideal f...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Crypto Trading, Multimodal AI use case.