Episode 7: Trade Smarter — Use AI Sentiment Alerts & Backtesting to Win
🎯 Prompt Text (for VideoTuto.io):
Create a concise, 3-minute YouTube video script in English, aimed at Indian retail investors.
✅ Topic: “Trade Smarter — Use AI Sentiment Alerts & Backtesting to Win”
✅ Goal: Guide viewers on how to transform AI-powered market sentiment signals into actionable trade alerts and validate those strategies through simple backtesting, helping them make smarter trading decisions.
Video Structure:
[0:00–0:24] Hook:
“AI market sentiment tools can reveal hidden market emotions. But which signals actually lead to profitable trades? In this episode, I’ll show you how to set up real-time alerts and test their effectiveness before risking your money.”
[0:24–0:48] Why It Matters:
“Most traders act on signals blindly and lose. The key is backtesting—checking how these signals performed historically to find the ones that truly work.”
[0:48–1:18] Step 1 — Set Up Trade Alerts:
“Create alerts for key signals like rising ‘Sensex panic’ searches on Google Trends combined with FII selling alerts from Trendlyne.”
“I’ll show you how to get notifications on your phone or app so you never miss these critical signals.”
[1:18–1:48] Step 2 — Backtest Your Strategy:
“Download past data on Google Trends, Twitter sentiment, and Trendlyne flows for your stock or index.”
“Mark when your alerts would have triggered and check how the market moved afterward.”
“Use ChatGPT to analyze whether these signals were profitable over the past six months.”
[1:48–2:27] Step 3 & Results — Fine-Tune & Confirm:
“Combine multiple signals for confirmation before taking action.”
“Here’s a recent alert example and how the stock moved right after.”
“We’ll quickly review backtest results using charts and spreadsheets.”
[2:27–3:00] CTA:
“In our next episode, I’ll teach you how to fully automate your sentiment alerts and backtesting process to trade smarter with ease. Like, subscribe, and comment below: What AI trading signals do you want me to test next?”
Visual Suggestions:
Dashboard alert pop-ups
Mobile notification of alerts
Side-by-side before and after charts
Spreadsheet showing backtest results highlighted
ChatGPT summarizing signal performance
Voiceover Sample (First 24 Seconds):
“AI market sentiment holds clues about market psychology—but does it really help you trade better? In this episode, learn how to convert real-time signals into trade alerts and backtest them for proven results with easy tools.”
视频信息
答案文本
视频字幕
AI market sentiment holds clues about market psychology—but does it really help you trade better? In this episode, learn how to convert real-time signals into trade alerts and backtest them for proven results with easy tools.
Most traders act on signals blindly and lose. The key is backtesting—checking how these signals performed historically to find the ones that truly work.
Create alerts for key signals like rising 'Sensex panic' searches on Google Trends combined with FII selling alerts from Trendlyne. I'll show you how to get notifications on your phone or app so you never miss these critical signals.
Download past data on Google Trends, Twitter sentiment, and Trendlyne flows for your stock or index. Mark when your alerts would have triggered and check how the market moved afterward. Use ChatGPT to analyze whether these signals were profitable over the past six months.
Combine multiple signals for confirmation before taking action. Here's a recent alert example and how the stock moved right after. We'll quickly review backtest results using charts and spreadsheets showing significant improvement with multi-signal strategies.