What is P/E Ratio?
P/E ratio divides share price by earnings per share, showing how many years of earnings the market pays for. High P/E can mean growth expectations or overvaluation depending on sector.
Formula
P/E Ratio = Stock Price ÷ Earnings Per Share Example: Stock Price: ₹1,200 EPS (TTM): ₹60 P/E = 1,200 ÷ 60 = 20 Interpretation: You pay ₹20 for every ₹1 of annual profit At current earnings, it takes 20 years to "earn back" your investment
Indian market context (NSE)
Reference levels: Nifty 50 at 24,300, Reliance Industries at ₹1,300, Bank Nifty futures at 55,000 (lot size 30). Examples below show how P/E Ratio shows up on Indian index, equity, and futures books — update to live quotes in your journal.
Nifty 50 perspective
Nifty index P/E near 22x at 24,300 contextualises market valuation vs 10-year average — useful macro filter, not a day-trade signal.
Reliance Industries perspective
Reliance at ₹1,300 with EPS ₹95 implies P/E ≈ 13.7x — compare to own 5-year band and sector peers before conflating “cheap” with “bullish”.
A Reliance position at ₹1,300 with different P/E context than a mid-cap momentum name — your journal should capture which valuation frame justified the trade.
How to validate
- Minimum sample: 30 closed trades on one strategy tag before trusting P/E Ratio.
- Check for one outlier week inflating P/E Ratio — export largest winners and losers.
- Recompute P/E Ratio after including brokerage, STT, and slippage on F&O tags.
- Compare P/E Ratio on the same date range as profit factor and max drawdown.
How to track in TradeLyser
- Open Strategy Board or analytics → filter by strategy tag and review period.
- Locate the widget or column reporting P/E Ratio (or export trades to compute manually).
- Store snapshot values in weekly review: P/E Ratio, profit factor, drawdown, trade count.
- If P/E Ratio is custom, add a spreadsheet column fed from TradeLyser CSV export.
Best practices
- Publish P/E Ratio per strategy, not only at account level.
- Use the same calculation window (weekly vs monthly) year-round.
- Pair P/E Ratio with sample size in every review slide or note.
- Document formula used so mentors interpret the same number.
Common pitfalls
- Changing rules after fewer than 20 trades because P/E Ratio moved slightly.
- Mixing intraday and positional tags when computing P/E Ratio.
- Ignoring costs so P/E Ratio looks better than banked P&L.
- Letting one outlier trade dominate the P/E Ratio reading.
How to use this in TradeLyser
Add “fundamental / event” tag when P/E or earnings drove the thesis. Review win rate for fundamental tags only after results season.
Related terms
Earnings per share is net profit attributable to common shareholders divided by shares outstanding.
Market capitalisation is share price multiplied by shares outstanding. It buckets companies into large, mid, and small cap with different liquidity and volatility profiles.
FAQ
What is a good P/E ratio?
It depends on the industry and growth expectations. Generally, 15-25 is moderate. High-growth tech stocks often trade at 50+ P/E, while mature companies trade at 10-15. Compare to industry peers, not absolute numbers.
What does a high P/E ratio mean?
A high P/E suggests investors expect strong future growth and are willing to pay a premium today. It could also mean the stock is overvalued. Context matters—compare to historical P/E and industry averages.
What does a low P/E ratio mean?
A low P/E may indicate undervaluation or that investors expect declining earnings. It could be a value opportunity or a value trap. Investigate why the P/E is low before assuming it's cheap.
How do you calculate P/E ratio?
P/E = Stock Price ÷ Earnings Per Share. If a stock trades at ₹500 and EPS is ₹25, P/E = 500 ÷ 25 = 20. This means investors pay ₹20 for every ₹1 of annual earnings.
What is trailing vs forward P/E?
Trailing P/E uses past 12 months' actual earnings. Forward P/E uses estimated future earnings. Forward P/E is more useful for growth stocks but relies on analyst estimates that may be wrong.
Start journaling with
TradeLyser
Connect your broker, tag strategies, and review performance with AI-assisted insights.