An options-based strategy well-suited for NSE F&O markets. Leverages the unique characteristics of NIFTY and BANK NIFTY weekly options including time decay, volatility cycles, and expiry behaviour.
Complexity
Beginner
Easy to implement
NSE Suitability
High
5.2 / 10 score
Timeframe
Daily
Short to medium term
Best For
Beginner Traders
5–15 days moves
Indicators Used
1
Options Chain
Win Rate (Backtest)
14.3%
Below 50% threshold
Avg Return / Trade
-0.19%
Per trade, after costs
Max Drawdown
-2.9%
Within typical range
Trades / Year
7
Small sample — interpret with caution
About the Put Call Ratio Strategy Strategy
The Put Call Ratio Strategy analyzes the volume of put options relative to call options traded on NSE equity segments to gauge market sentiment and potential reversals. This ratio acts as a contrarian indicator, revealing whether participants are positioning defensively or aggressively at specific price levels.
The strategy captures shifts in implied fear and greed by monitoring how option flow changes throughout the trading session. When the ratio reaches extreme levels, it often signals exhaustion in the prevailing trend. On NSE, this approach is particularly relevant given the consistent liquidity in major index options and large-cap stocks, which ensures reliable option chain data during market hours. NSE's extended trading window and high retail participation also generate distinct sentiment patterns that the ratio can effectively track.
Traders typically establish setups when the Put Call Ratio deviates significantly from its average range, suggesting either excessive put buying near support or call accumulation near resistance. The strategy works best on daily timeframes where sentiment extremes become more pronounced and actionable. Because NSE equity options experience predictable volatility patterns tied to domestic economic data releases and market open dynamics, traders can identify recurring ratio thresholds that precede directional moves.
Who This Strategy Is For
This Beginner strategy suits Beginner Traders comfortable with a Daily timeframe and holding periods around several days. It's built for the Equity segment on NSE, so it fits traders who can check positions without needing intraday execution speed. Because it uses a small, well-known set of indicators, it's a reasonable starting point if you're new to systematic NSE trading.
Equity Curve (Backtest)
HIGH QUALITY
Tested on: NTPC
· 2024-05-13 to 2026-06-30
Total Return
-1.4%
CAGR
-0.7%
Sharpe Ratio
-0.58
Sortino Ratio
-0.87
Calmar Ratio
-0.24
Win Rate
14.3%
NSE Market Fit
5OUT OF 10
Moderate Fit
This strategy is well-suited for current NSE market conditions.
Win rate quality Needs Caution
Risk-adjusted return Needs Caution
Drawdown control Excellent
Trade frequency (sample size) Needs Caution
Sharpe ratio Needs Caution
Monthly Returns Heatmap
2024
2025
2026
Jan
—
—
+0.9%
Feb
—
—
—
Mar
—
—
—
Apr
—
—
—
May
—
—
-0.6%
Jun
—
—
—
Jul
—
-0.7%
—
Aug
—
-0.9%
—
Sep
—
-0.1%
—
Oct
-0.1%
—
—
Nov
—
—
—
Dec
—
—
—
Positive return Negative return
Performance vs Nifty 50
Nifty 50 comparison isn't available for this backtest period yet.
Identify the market context — determine if conditions are trending or ranging, and confirm the higher timeframe direction
2
Wait for the specific entry signal defined by the strategy rules — do not enter without full confirmation
3
Execute with pre-defined stop loss and target — manage the trade according to the exit rules without discretionary override
Entry & Exit Rules
Risk Management Rules
Risk Per Trade
1.0%
of total capital
Min Capital
₹30,000
Hold Period
5–15 days
Segment
Equity, Futures
Common Mistakes to Avoid
⚠️ As with any systematic strategy, the most common mistake is deviating from the defined entry/exit rules mid-trade based on emotion rather than the backtested logic.
Full Backtest Report
Backtested on NTPC ·
2024-05-13 to 2026-06-30 ·
Capital ₹100,000
Equity Curve
Live tracking coming soon
We're building forward-tested, paper-trade tracking for this strategy so you can see how it performs
on live NSE data — not just historical backtests. Check back soon.
No sample trades added yet for this strategy.
Strategy Parameters
The exact rules and default values this strategy uses — adjust them when you run a full backtest.
Parameter
Default
Min
Max
Type
Description
pcr_bullish
0.7
0.5
1.0
decimal
PCR below this level signals bullish sentiment
pcr_bearish
1.3
1.0
2.0
decimal
PCR above this level signals bearish sentiment
smoothing_period
5
3
20
integer
Period to smooth PCR for cleaner signals
atr_stop
2.0
1.0
3.0
decimal
ATR multiple for stop loss
Frequently Asked Questions
The Put-Call Ratio (PCR) measures the volume or open interest of put options relative to call options. A high PCR (above 1.3) indicates excessive bearish sentiment (often a contrarian bullish signal), while a low PCR (below 0.7) indicates excessive bullish sentiment (often a contrarian bearish signal) due to crowd psychology extremes.
NSE's official website publishes live option chain data including PCR for Nifty, Bank Nifty, and individual F&O stocks. Most trading platforms (Zerodha Kite, Upstox, Sensibull) also display real-time PCR calculations directly within their options chain interface, updated throughout the trading session.
Open Interest PCR is generally considered more reliable for identifying sustained positioning since it reflects actual outstanding contracts rather than just the day's trading activity, which can be skewed by short-term speculation. Volume PCR is more useful for identifying immediate intraday sentiment shifts during the trading session.
Nifty PCR readings above 1.7-1.8 have historically coincided with extreme fear and often preceded short-term bottoms, while readings below 0.5-0.6 have coincided with extreme greed often preceding short-term tops. These extremes should be combined with price action confirmation rather than traded as standalone contrarian signals.
Related Strategies
Looking for alternatives? 0DTE Options Strategy is a similar Intermediate strategy in the same Options category, with Very High NSE suitability.
MomentumIQ is an educational platform for strategy research and backtesting. We do not provide investment advice, recommendations, or tips. All backtest results are hypothetical, based on historical data, and for educational purposes only. Past performance is not indicative of future results. Backtested results may not account for brokerage, slippage, taxes, or other real-world costs. Please consult a SEBI-registered investment advisor before making any investment decisions.
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