Episode 5 – “How to Use AI to Predict Market Sentiment Before It Affects Stock Prices”
🕒 Exact Runtime: 4.5 minutes
🧠 Skill Level: Intermediate to Advanced
🎯 Target Audience: Retail investors who want to make smart timing decisions
📢 Language: Pure English (No Hindi)
🔍 Focus: Use AI tools to analyze sentiment signals before the price moves — like the smart money does.
📝 Best Possible Prompt for VideoTuto.io
(Paste this into the tool to get a full AI-generated video with visuals, transitions, and overlays.)
✅ 🎯 Prompt Title:
How to Use AI to Predict Stock Market Sentiment Before It Moves the Price
✅ 🎯 Prompt Text (for VideoTuto.io):
Create a 4.5-minute YouTube video script in English, designed for Indian retail investors.
✅ Topic: "How to Use AI to Predict Market Sentiment Before It Affects Stock Prices"
✅ The goal is to help viewers use ChatGPT, Google Trends, Twitter/X sentiment, and Trendlyne to detect fear or greed in the market early.
✅ Break the video into these sections:
[0:00 – 0:30]
Hook: “Most people buy after a rally and sell during panic. But what if you could use AI to spot fear or greed in real time — before prices move?”
[0:30 – 1:30]
Explain what market sentiment is. Use examples like fear selling in March 2020 or euphoria in 2021.
Mention that while charts show the past, sentiment shows the present psychology of the market.
[1:30 – 2:30]
Tool 1: Use Google Trends
→ Search terms like “Sensex crash,” “best stocks to buy now,” or “stock market news.”
→ Rising fear-related searches? Market may dip.
→ Rising greed-related searches? A rally may be overbought.
Tool 2: Use Twitter sentiment via ChatGPT
→ Copy tweets from a trending hashtag like #StockMarketIndia
→ Paste into ChatGPT:
“Analyze this text sentiment: Is it positive, fearful, or greedy?”
→ Result = real-time market emotion
[2:30 – 3:30]
Tool 3: Use Trendlyne’s heatmaps & alerts
→ Check unusual volume, insider selling, mutual fund buying/selling.
→ Combine it with ChatGPT for interpretation.
Bonus: Use ChatGPT to interpret news headlines
Paste headlines like: “RBI raises repo rate” or “Crude oil hits $100”
Ask:
“How will this affect Indian stock market sentiment?”
[3:30 – 4:20]
Recap the system:
Google Trends = Retail search activity
Twitter + ChatGPT = Emotion signals
Trendlyne = Insider & investor behavior
News + AI = Macro interpretation
Explain how combining all this gives you AI-powered emotional radar — before the herd reacts.
[4:20 – 4:30]
CTA: “In the next episode, we’ll build a live AI dashboard to track stock news + sentiment + technical levels in one place.
Like, Subscribe, and comment:
Do you want me to track any specific sector or company next?”
✅ Sample On-Screen Visual Suggestions:
Google Trends graph for "Sensex crash" spiking
Screenshot of ChatGPT analyzing tweet sentiment
Trendlyne's FII/DII heatmap
News headline with ChatGPT summary: “This is negative for auto stocks”
"Most retail investors make decisions based on price charts. But charts reflect the past — not what’s about to happen.
Imagine if you could use AI to detect panic or euphoria — before the market reacts.
In this 4.5-minute video, I’ll show you how to use ChatGPT, Google Trends, and Trendlyne to read market sentiment like a pro."
视频信息
答案文本
视频字幕
Most retail investors make decisions based on price charts. But charts reflect the past, not what's about to happen. Imagine if you could use AI to detect panic or euphoria before the market reacts. Sentiment analysis shows the present psychology of the market, acting as a leading indicator. For example, AI sentiment tools detected the fear before the March 2020 crash and the excessive greed during the 2021 euphoria, giving smart investors early warning signals.
Google Trends is your window into retail investor psychology. When people search for terms like 'Sensex crash' or 'stock market news', it reveals their emotional state. Fear-related searches typically spike before market crashes, while greed-related searches like 'best stocks to buy now' peak before corrections. This creates a powerful early warning system. The search volume acts as a sentiment thermometer, showing you when the crowd is getting too fearful or too greedy, often days before it shows up in stock prices.
Twitter sentiment analysis with ChatGPT gives you real-time market emotion readings. Start by collecting tweets from hashtags like StockMarketIndia. Copy the tweet text and paste it into ChatGPT with a simple prompt asking whether the sentiment is positive, fearful, or greedy. ChatGPT instantly categorizes the emotional tone. For example, panic selling tweets show fear, value buying tweets show optimism, and FOMO tweets reveal dangerous greed. By tracking these sentiment shifts, you can detect emotional extremes before they move stock prices.
Trendlyne provides institutional behavior data that retail investors rarely see. Track FII and DII buying patterns, unusual volume spikes, insider trading activity, and mutual fund movements. Combine this with ChatGPT for news analysis. Feed headlines like 'RBI raises repo rate' into ChatGPT and get instant market impact assessments. The AI tells you this is negative for banking stocks, bearish for real estate, and bullish for bond yields. This creates a comprehensive intelligence system combining institutional money flows with macro news interpretation, giving you the same insights as professional traders.
Now you have a complete AI-powered emotional radar system. Google Trends shows retail search activity, Twitter with ChatGPT reveals real-time emotion signals, Trendlyne provides institutional behavior data, and news analysis gives macro interpretation. When all four components align, you get powerful buy or sell signals before the market moves. This system detected the March 2020 crash, the 2021 euphoria, and countless other opportunities. In our next episode, we'll build a live AI dashboard to track stock news, sentiment, and technical levels in one place. Like and subscribe, and comment which sector or company you want me to track next!