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| Stock Market | Day 13 |
How Professional Traders Scan Stocks
Many beginners ask:
"Which stock should I buy?"
Professionals ask:
"How do I find good stocks consistently?"
The goal is not to get tips.
The goal is to build a repeatable process.
What is Stock Scanning?
Stock scanning means filtering thousands of stocks to find a few worth analyzing.
Think of it like this:
5000+ Stocks
↓
200 Stocks
↓
50 Stocks
↓
10 Stocks
↓
2-3 Trade Candidates
Step 1: Start with Quality Stocks
As a beginner, focus on:
NIFTY 50
NIFTY Next 50
Strong sector leaders
Avoid:
Penny stocks
Illiquid stocks
Random operator-driven stocks
Step 2: Find Stocks Above the 50 EMA
A simple scan:
Condition
Price > 50 EMA
Why?
This filters out many weak stocks.
You're left with stocks already showing strength.
Step 3: Find Stocks Near 52-Week Highs
Many beginners do the opposite.
They search:
"Which stock has fallen 80%?"
Professionals often look for:
"Which stock is near its highs?"
Strong stocks tend to remain strong.
Step 4: Look for Volume Expansion
One of the most powerful filters.
Example:
Average volume = 10 lakh shares
Today's volume = 30 lakh shares
That's unusual activity.
Ask:
Why is volume suddenly increasing?
Step 5: Relative Strength
A stock may rise even when the market is weak.
Example:
NIFTY falls 1%
Stock rises 2%
This is relative strength.
These stocks often become future leaders.
Step 6: Breakout Scan
Look for stocks near important resistance.
Example:
Resistance = ₹500
Current price = ₹495
This deserves attention.
You can prepare before the breakout.
Step 7: Pullback Scan
Not every trade needs a breakout.
Look for:
Strong uptrend
Pullback to 20 EMA
Pullback to 50 EMA
Support zone
Often these provide lower-risk entries.
The Evening Scanning Routine
After market close:
Scan 1
Stocks above 50 EMA
Scan 2
Stocks near 52-week highs
Scan 3
Volume 2x or more than average
Scan 4
Breakout candidates
Scan 5
Strong sectors
Then build your watchlist.
Sector Analysis (Very Important)
Money often moves by sector.
Examples:
Banking
IT
Pharma
Auto
FMCG
Metals
If a sector is strong, many stocks within it may perform well.
Example
Suppose banking is strong.
Then look at:
HDFC Bank
ICICI Bank
State Bank of India
A strong sector creates a favorable environment.
Watchlist System
Create three groups.
A-Grade
Ready to trade.
Everything aligns.
B-Grade
Interesting but needs confirmation.
C-Grade
Avoid for now.
Example A-Grade Setup
Weekly:
Bullish
Daily:
Pullback to support
Volume:
Increasing
RSI:
Above 50
EMA:
Price above 50 EMA
Risk:Reward:
1:3
This deserves attention.
Example C-Grade Setup
Weekly:
Downtrend
Daily:
Weak
Volume:
Low
RSI:
Below 50
No support nearby
Skip.
Common Beginner Mistakes
❌ Looking at Too Many Stocks
More charts ≠ better results.
Start with 30–50 quality stocks.
❌ Chasing News
By the time news reaches most traders, the move may already be underway.
Use charts and risk management.
❌ Buying Because a Stock is Cheap
₹20 stock is not automatically better than ₹2000 stock.
Price alone means nothing.
The Professional Routine
Weekend
Review sectors
Review weekly charts
Update watchlist
Daily
15–20 minutes after market close
Scan
Update levels
Plan trades
A Complete Stock Selection Framework
Before adding a stock to your watchlist:
✅ Weekly uptrend
✅ Daily setup
✅ Above 50 EMA
✅ Volume increasing
✅ Sector strength
✅ Risk:Reward ≥ 1:2
If all are present, the stock moves closer to the top of your list.
The Biggest Realization
Professional traders don't search for:
"The next multibagger."
They search for:
"High-probability setups with controlled risk."
That mindset creates consistency.
What You've Learned So Far
Market Basics
Candlesticks
Support & Resistance
Trend Analysis
Volume Analysis
Risk Management
EMA/SMA
RSI
Chart Patterns
Multi-Timeframe Analysis
Swing Trading System
Stock Scanning & Watchlist Building
You now have the framework needed to start analyzing and selecting stocks systematically.
Next Lesson: Trading Psychology
This is where many traders struggle.
You'll learn:
Fear
Greed
FOMO
Revenge Trading
Overtrading
Discipline
Building a trader's mindset
Most trading failures are psychological, not technical. This lesson can have a bigger impact than any indicator.
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