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Step-by-Step: Use Alerts in TradingView to Monitor Setups — Advanced 86

Step-by-Step: Use Alerts in TradingView to Monitor Setups — Advanced 86. Get practical lessons and hands-on examples at AIComputerClasses in Indore to master Trading & Stock Market skills quickly. This article from AIComputerClasses Indore breaks down “Step-by-Step: Use Alerts in TradingView to Monitor Setups — Advanced 86” into actionable steps. Includes references to tools like ChatGPT, Power BI, Excel, Figma, or Python where appropriate. Follow practical exercises and tool-based examples to learn rapidly.

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Trading & Stock Market

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Cinematic, hyperrealistic image of Indian students in a modern classroom in Indore learning TradingView on large computer screens. Charts, indicators, and live alerts are displayed, with a trainer explaining stock setups under a glowing banner “AI Computer Classes – Indore.” Style: cinematic lighting, realistic Indian environment, professional yet vibrant atmosphere, trading tools on monitors, and learners engaged in analysis.

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📈 Step-by-Step: Use Alerts in TradingView to Monitor Setups — Advanced 86

The world of stock trading moves fast ⚡ — and missing a key breakout or reversal setup can mean losing a golden opportunity. That’s why professional traders rely on TradingView alerts — powerful tools that help monitor setups automatically without staring at charts all day.

At AI Computer Classes – Indore, we help learners bridge the gap between theory and practice by teaching real-world trading automation using tools like TradingView, Excel, and even Python integrations.

In this tutorial, we’ll take you through a step-by-step guide on using alerts in TradingView effectively — from basic notifications to advanced alert scripting (Advanced 86 level).

💹 What Are TradingView Alerts?

TradingView alerts are custom notifications that trigger when specific market conditions are met — such as a price crossing a moving average or an RSI breaking below 30.

These alerts help traders to:

React instantly to market setups 🔔
Stay updated without being glued to charts
Automate parts of their trading strategy
Reduce emotional decision-making

TradingView allows you to create alerts on price levels, indicators, drawings, and even Pine Script conditions — making it one of the most flexible alert systems for traders.

💡 Learn from Experts at AI Computer Classes – Indore!

Boost your career with hands-on courses in Trading, AI, and Data Analytics.

👉 Join our latest batch now at AI Computer Classes

📍 Located in Old Palasia, Indore

⚙️ Step 1: Open TradingView and Select Your Chart

Log in to your TradingView account.
Choose the chart of the stock, cryptocurrency, or index you want to monitor.
Set up your preferred indicators like:

Moving Average (MA)
RSI (Relative Strength Index)
MACD

For example, if you’re tracking Nifty 50, load the Nifty chart and apply the 50 and 200 EMA to identify crossover signals.

⏰ Step 2: Locate the Alert Button

On the top toolbar of TradingView, click the 🔔 “Alert” icon.

A dialog box opens with options for setting:

Condition: What triggers the alert (e.g., EMA crossover)
Options: Greater than, less than, crossing, etc.
Alert name: Custom label like “Nifty EMA Crossover Alert”
Expiration date: When the alert should stop monitoring
Alert actions: Choose between pop-up, sound, email, or webhook

📩 Step 3: Set Basic Alerts

Let’s say you want to know when Nifty crosses 22,000:

Condition → Nifty
Operator → Crossing
Value → 22000
Notification Type → App + Email

Once set, TradingView will automatically notify you when that level is hit.

Pro Tip: You can also add alerts to specific indicators — for example, “RSI crossing above 70” to track overbought conditions.

🧩 Step 4: Advanced Alert Setup (Using Pine Script)

For power users, TradingView’s scripting language, Pine Script, allows automation of complex alerts.

Example: Create an alert when both the RSI and MACD give buy confirmation.

//@version=5
indicator("Advanced Buy Alert", overlay=true)
rsiValue = ta.rsi(close, 14)
macdLine = ta.ema(close, 12) - ta.ema(close, 26)
signalLine = ta.ema(macdLine, 9)

buySignal = (rsiValue < 30) and (macdLine > signalLine)
alertcondition(buySignal, title="Buy Signal", message="RSI and MACD Buy Setup Triggered")
plotshape(buySignal, style=shape.triangleup, color=color.new(color.green, 0), size=size.large)

After saving this script:

Add it to your chart
Create an alert on the Buy Signal condition
You’ll now receive alerts only when both RSI and MACD align — reducing false signals

💡 Learn from Experts at AI Computer Classes – Indore!

Master TradingView, Excel-based stock analysis, and data automation techniques.

👉 Enroll today at AI Computer Classes

📍 Old Palasia, Indore

🔔 Step 5: Use Alerts with Webhooks (Automation Level 86)

This is where it gets powerful.

With webhook alerts, you can connect TradingView to Python scripts, Excel sheets, or even Power BI dashboards.

Example webhook workflow:

TradingView detects your setup → Sends alert JSON data
Python script receives it via webhook
Script logs data in Excel or triggers a trade API

Here’s a small Python example using Flask:

from flask import Flask, request
import pandas as pd
app = Flask(__name__)

@app.route('/webhook', methods=['POST'])
def webhook():
    data = request.json
    df = pd.read_excel("alerts_log.xlsx")
    new_entry = {"Symbol": data["symbol"], "Price": data["price"], "Time": data["time"]}
    df = df.append(new_entry, ignore_index=True)
    df.to_excel("alerts_log.xlsx", index=False)
    return "Alert Received", 200

This makes your TradingView alerts feed directly into an Excel trading journal, automating your analysis pipeline.

📊 Step 6: Integrate with Power BI or Excel

Once you log your alert data into Excel, use Power BI to create dashboards showing:

Number of signals triggered per day
Accuracy rate of your strategy
Best-performing setups

You can visualize metrics like:

📈 Alert Frequency vs Profitability
🔥 Most Common Trigger Levels

This makes your trading approach data-driven instead of emotional.

💡 Learn from Experts at AI Computer Classes – Indore!

Boost your trading efficiency with hands-on courses in Technical Analysis, Python Automation, and Power BI Reporting.

👉 Start learning now at AI Computer Classes

📍 Visit us in Old Palasia, Indore

🧭 Step 7: Use ChatGPT for Strategy Improvement

Once alerts are running, you can use ChatGPT or Llama 3 to analyze patterns.

For example, export your alert logs and ask:

“Analyze which type of alerts gave the most profitable outcomes.”

AI tools can help identify patterns or suggest tweaks in your alert criteria. This turns your manual analysis into an AI-assisted trading system.

⚡ Step 8: Best Practices for Advanced Traders

✅ Don’t overload alerts: Focus only on 3–5 high-probability setups.
⏰ Review alerts weekly: Check false positives and refine scripts.
📊 Backtest strategies: Before setting live alerts, test historical data.
🔒 Secure your webhook endpoints: Avoid unauthorized access.
📱 Sync with TradingView app: Enable push notifications for real-time updates.

🎯 Benefits of Using TradingView Alerts

Save hours of screen time daily ⏰
Get notified instantly about trade opportunities
Eliminate emotional decisions
Automate routine tasks using AI & Python
Combine data insights with Power BI visualizations

🧭 Conclusion

TradingView alerts are not just notifications — they are your 24/7 trading assistant. When used with AI, Python, and Excel, they become part of a smart ecosystem that tracks, analyzes, and improves your trading setups.

At AI Computer Classes – Indore, we teach you how to apply these tools practically so that your trading is faster, data-driven, and stress-free.

“Trade smart, not hard — let technology work for you.” 💡

📞 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

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