🤖 Hands-On: Use AI to Automate Email Replies using TradingView

🤖 Hands-On: Use AI to Automate Email Replies using TradingView

Managing emails can take up hours of productive time. What if you could let AI handle your email replies automatically—while you focus on market analysis, project work, or trading on TradingView?

In this AI Computer Classes Indore guide, you’ll learn how to use AI tools and APIs to set up automated, intelligent email responses based on message context and tone—integrating with real-world platforms like TradingView for alerts and notifications.

💡 Why Automate Email Replies?

Automation can:

• 🕒 Save hours of repetitive typing.
• 🧠 Ensure consistent tone and professionalism.
• 🚀 Respond instantly to leads, clients, or alerts.
• 📊 Integrate with tools like TradingView to react to market changes automatically.

AI doesn’t just reply — it understands intent, matches tone, and acts intelligently.

🧠 Step 1: Understand the Workflow

Here’s what the AI-powered email automation process looks like:

1. Incoming Email / Alert → Triggered from Gmail or a trading alert (like TradingView).
2. AI Engine (ChatGPT or Python Script) → Reads the email content.
3. AI Generates a Smart Reply → Based on templates, tone, or data.
4. Reply Sent Automatically → Through Gmail API or third-party service.

⚙️ Step 2: Tools You’ll Need

ToolPurposeExample UseChatGPT / OpenAI APIGenerate intelligent replies“Summarize and respond to new client emails politely.”PythonAutomate workflowFetch emails, process text, send repliesGmail APIManage inbox and send emailsAutomate sending repliesTradingView WebhooksTrigger alerts to email AI“When RSI crosses 70, send AI an alert.”

You can connect these tools easily with Zapier, Make.com, or Python scripts.

🧩 Step 3: Set Up Gmail API (for Automation)

1. Go to Google Cloud Console → Create a new project.
2. Enable Gmail API.
3. Configure OAuth 2.0 credentials for secure access.
4. Use the Python google-auth library to connect.

Example snippet:

from googleapiclient.discovery import build
from google.oauth2.credentials import Credentials

service = build('gmail', 'v1', credentials=creds)
results = service.users().messages().list(userId='me', q='is:unread').execute()

This lets your script fetch unread emails for processing.

🧠 Step 4: Generate AI Replies

You can use ChatGPT API (or similar LLM tools) to write context-aware replies.

Example:

import openai

def generate_reply(email_text):
    prompt = f"Write a professional email reply to: {email_text}"
    response = openai.ChatCompletion.create(
        model="gpt-4",
        messages=[{"role": "user", "content": prompt}]
    )
    return response['choices'][0]['message']['content']

💬 The AI reply will automatically match the sender’s tone — formal, friendly, or technical.

📈 Step 5: Integrate with TradingView Alerts

You can use TradingView webhooks to trigger automated messages when market events occur.

Example:

• Create an alert in TradingView like:
• “RSI > 70 — Possible Overbought Condition.”
• Send the alert as a webhook to your AI script.
• The AI can then generate a custom email to your trading team or clients:
• “RSI for BTC/USD crossed 70. Consider reviewing your position.”

💡 This transforms AI into your trading assistant, keeping communication instant and data-driven.

🧩 Step 6: Automate Sending Replies

Once the AI reply is ready, send it automatically using Gmail API:

def send_email(to, subject, message):
    email_message = {
        'raw': base64.urlsafe_b64encode(
            f"To: {to}\nSubject: {subject}\n\n{message}".encode("utf-8")
        ).decode("utf-8")
    }
    service.users().messages().send(userId='me', body=email_message).execute()

With this, your system can reply instantly — even while you’re offline.

📊 Step 7: Track and Monitor

Track your automation efficiency by logging:

• Number of emails auto-processed
• AI accuracy rate (based on manual review)
• Response time improvement

You can visualize this in Power BI or Excel for data-driven analysis.

🧠 Pro Tips

✅ Use filters to exclude sensitive or complex emails from auto-replies.

✅ Fine-tune prompts to maintain tone consistency.

✅ Store successful AI replies to improve future training.

✅ Set up a human-in-the-loop system for review when needed.

🎓 Learn AI Automation at AI Computer Classes – Indore

At AI Computer Classes Indore, you’ll learn how to:

• Build AI-powered workflows with Python
• Integrate APIs like Gmail, TradingView, and OpenAI
• Automate repetitive office or trading tasks
• Visualize AI-driven insights using Power BI

Whether you’re in tech, business, or finance — you can leverage AI to work smarter, not harder.

🌟 Final Thoughts

AI automation isn’t just about saving time — it’s about enhancing precision and intelligence in everyday tasks.

By connecting ChatGPT, Gmail, and TradingView, you can create your own AI communication assistant — one that never sleeps, always replies, and keeps your operations running seamlessly.

📞 Contact AI Computer Classes – Indore

✉ Email: hello@aicomputerclasses.com

📱 Phone: +91 91113 33255

📍 Address: 208, Captain CS Naidu Building, near Greater Kailash Road, opposite School of Excellence For Eye, Opposite Grotto Arcade, Old Palasia, Indore, Madhya Pradesh 452018

🌐 Website: www.aicomputerclasses.com