6 Build Your Own AI Dashboard: Track Stock Sentiment, News & Trends LIVE!
🎯 Prompt Text (for VideoTuto.io):
Create a 4.5-minute YouTube video script in English, tailored for Indian retail investors.
✅ Topic: “How to Build a Live AI Dashboard to Track Stock Sentiment, News & Technical Trends — Step-by-Step”
✅ Goal: Teach viewers how to combine ChatGPT, Google Trends, Twitter/X sentiment, and Trendlyne in one practical, easy-to-use dashboard for live decision-making.
Break the video into clear, compelling sections:
[0:00 – 0:30]
Hook:
“Ever wonder how the pros track news, sentiment, and price action — all on one screen, before the herd sees it? Today, we’ll reveal how to build your own AI-powered dashboard so you can react faster than anyone else.”
[0:30 – 1:00]
Why You Need a Dashboard:
Explain the chaos of switching between multiple apps and news feeds.
Introduce the concept: one place to see market mood, news headlines, and key technical signals for your favorite stocks or sectors.
[1:00 – 2:00]
Step 1: Set Up Google Trends & Twitter Feed in Dashboard
Guide: Add “Sensex crash,” “best stocks to buy now” on Google Trends widget.
Show how to embed or screenshot trending finance hashtags from X/Twitter for real-time emotional pulse.
[2:00 – 3:00]
Step 2: Plug in Trendlyne Alerts & FII/DII Flows
Guide: Add Trendlyne’s heatmaps, insider trading alerts, mutual fund flows.
Pro Tip: Use ChatGPT to explain whether a headline like “Heavy selling by FIIs” is panic or opportunity — and what sectors may react.
[3:00 – 4:00]
Step 3: AI-Powered News + Technical Levels
Add a news headline ticker — use ChatGPT to instantly interpret if it’s bullish, bearish, or neutral.
Show adding simple technicals (moving averages, RSI) in the dashboard for final confirmation.
[4:00 – 4:20]
Recap & How to Use:
Quick system review: Trends = what people search, Twitter = real emotion, Trendlyne = smart money moves, News+AI = macro insights, technicals = entry/exit points.
Show a simulated real use-case: How you’d react to breaking news with this dashboard vs. just following price.
[4:20 – 4:30]
CTA:
“In the next episode, we’ll track breaking market events in real time using this dashboard. Like, subscribe, and comment: Which sectors or stocks do you want live-tracked next week?”
Sample On-Screen Visual Suggestions:
Split-screen of a real dashboard with Google Trends, Trendlyne, and X/Twitter
ChatGPT summarizing a breaking headline: “Negative for Bank Nifty”
Technical chart with moving average crossover annotated
Simulated alert pop-up: “Retail panic rising in auto sector”
Voiceover (First 45 seconds):
“Most investors struggle to keep up with the onslaught of news and emotions in the stock market. But what if you could see it all — market trends, live sentiment, pro investor moves, and technical signals — on a single dashboard? In this 4.5-minute video, I’ll show you how to combine AI tools like ChatGPT, Google Trends, Twitter, and Trendlyne to build your personal market command center.”
视频信息
答案文本
视频字幕
Ever wonder how the pros track news, sentiment, and price action all on one screen, before the herd sees it? Most investors struggle with information overload, switching between multiple apps, news feeds, and trading platforms. Today, we'll reveal how to build your own AI-powered dashboard so you can react faster than anyone else. Imagine having market trends, live sentiment, professional investor moves, and technical signals all in one place.
Let's start building your dashboard with Google Trends and social media integration. First, add a Google Trends widget to track key search terms like 'Sensex crash' and 'best stocks to buy now'. These searches reveal retail investor sentiment before it shows up in price action. Next, embed trending finance hashtags from Twitter or X to capture real-time emotional pulse. When search volume spikes for panic-related terms, it often signals market bottoms. Conversely, searches for 'best stocks to buy' typically peak near market tops, indicating retail FOMO.
Now let's add professional investor data with Trendlyne integration. This gives you access to FII and DII flow tracking, sector heatmaps showing where smart money is moving, and insider trading alerts. The color-coded heatmaps instantly show you which sectors are seeing institutional buying or selling. When you see heavy FII selling, use ChatGPT to interpret whether this is panic selling creating opportunity, or smart money exiting before trouble. Mutual fund flow data shows retail investor behavior, while insider trading alerts reveal when company executives are buying or selling their own stock.
The third component is AI-powered news analysis using ChatGPT. Set up a real-time news ticker that feeds headlines directly to ChatGPT for instant sentiment analysis. The AI classifies each headline as bullish, bearish, or neutral, and explains the potential sector impacts. For example, when RBI raises repo rates, ChatGPT immediately identifies this as bearish for banking stocks due to margin compression. The system provides automated sentiment scoring and translates complex financial jargon into simple, actionable insights that retail investors can understand and act upon quickly.
Here's your complete AI dashboard in action. You now have Google Trends showing search sentiment, Twitter capturing real emotions, Trendlyne tracking smart money moves, AI news providing macro insights, and technical indicators for precise entry and exit points. In this live demo, we see panic searches rising, high fear on social media, FII selling but DII buying, bearish AI news analysis, and Nifty at technical support with oversold RSI. All signals align for a potential buy opportunity. This integrated approach helps you react faster than the herd and make informed decisions based on multiple data sources rather than just price action.