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Deep ITM Option Buying

Deep ITM Option Buying

Beginner ★ Very High NSE Fit Daily (Expiry) 9/10 Popularity

An options-based strategy extremely 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
Very High
9.2 / 10 score
Timeframe
Daily (Expiry)
Short to medium term
Best For
Options Traders
7–30 days moves
Indicators Used
1
Options Chain
Win Rate (Backtest)
26.9%
Below 50% threshold
Avg Return / Trade
-0.08%
Per trade, after costs
Max Drawdown
-5.6%
Within typical range
Trades / Year
26
Statistically reasonable sample
About the Deep ITM Option Buying Strategy
Deep ITM Option Buying is a strategy that captures intrinsic value and reduced time decay by purchasing call or put options trading deep in-the-money. These options behave similarly to their underlying stock, moving almost point-for-point with price changes, while offering leverage compared to outright equity ownership.

The strategy is particularly relevant on NSE because the options segment benefits from consistent daily liquidity in major index and stock contracts, especially during the final hours before expiry. Deep ITM options typically have tight bid-ask spreads in this environment, making entry and exit execution more reliable. NSE's volatility patterns often create opportunities where Deep ITM options are overlooked by retail traders focused on cheaper, out-of-the-money premiums.

The setup looks for Deep ITM options where the strike is sufficiently far inside-the-money that delta approaches 1.0, meaning the option's price movement mirrors the underlying nearly exactly. Traders monitor the Options Chain to identify contracts with high open interest and liquidity, then initiate positions ahead of expected directional moves. The reduced theta decay on ITM options makes this suitable for daily holding through expiry, where the option's remaining extrinsic value is minimal.
Who This Strategy Is For
This Beginner strategy suits Options Traders comfortable with a Daily (Expiry) timeframe and holding periods around 7–30 days. It's built for the Options 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: RELIANCE  ·  2021-07-05 to 2026-07-15
Total Return
-2.2%
CAGR
-0.5%
Sharpe Ratio
-0.21
Sortino Ratio
-0.32
Calmar Ratio
-0.09
Win Rate
26.9%
NSE Market Fit
9 OUT OF 10
Very High 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) Good
Sharpe ratio Needs Caution
Monthly Returns Heatmap
20222023202420252026
Jan -0.8% — — -0.7% —
Feb -0.5% -0.5% — -1.2% -0.7%
Mar +1.9% — — — -0.9%
Apr — — -0.6% -0.8% —
May — +0.9% -0.7% +1.9% -0.1%
Jun -0.1% — -0.9% — —
Jul — — +1.8% — —
Aug — — -1.1% — —
Sep -0.1% — — -0.5% —
Oct — — -0.9% +0.9% —
Nov +1% — — — —
Dec — +0.9% -0.6% — —
Positive return Negative return
Performance vs Nifty 50
Nifty 50 comparison isn't available for this backtest period yet.
Trade Distribution
26 Total
Profitable 7 (26.9%)
Losing 19 (73.1%)
↑ Avg Win +1,333
↓ Avg Loss -606
★ Best Trade +1,917
▼ Worst Trade -1,075
Returns Distribution
Recent Backtest Results
Period Symbol Capital Total Return CAGR Max Drawdown Win Rate Trades Sharpe Ratio View
2 Years (2024–2026) RELIANCE ₹100,000 -2.2% -0.5% -5.6% 26.9% 26 -0.21 View
💡 Tip: Backtest on more data to increase confidence. Our users get best results with 3+ years of backtesting. Run Extended Backtest
How It Works (Quick Overview)
1
Step 1
Identify the market direction and key support/resistance levels on the NIFTY or BANK NIFTY chart
2
Step 2
Select the appropriate strike price based on Delta and time to expiry — ATM or slightly OTM
3
Step 3
Enter on a confirmed directional signal — manage with a 30–50% premium stop loss and defined target
View Detailed Rules & Setup →

Best Market Conditions

This strategy performs best in:

Want stock exposure but avoid assignment risk
Delta 0.70–0.85 — moves nearly 1:1 with underlying
IV low — deep ITM options have low extrinsic value
Using options instead of futures to cap downside
30+ DTE — sufficient time to be right on direction
How This Strategy Works
1
Identify the market direction and key support/resistance levels on the NIFTY or BANK NIFTY chart
2
Select the appropriate strike price based on Delta and time to expiry — ATM or slightly OTM
3
Enter on a confirmed directional signal — manage with a 30–50% premium stop loss and defined target
Entry & Exit Rules
✓ Entry Conditions
Want stock exposure but avoid assignment risk
Delta 0.70–0.85 — moves nearly 1:1 with underlying
IV low — deep ITM options have low extrinsic value
Using options instead of futures to cap downside
30+ DTE — sufficient time to be right on direction
✕ Avoid When
Very wide bid-ask spread on deep ITM options — illiquidity cost
Near expiry — deep ITM loses time value too fast
When simple equity holding is more cost-effective
Options chain is illiquid — only liquid on near ATM
High IV — deep ITM premium inflated by extrinsic value
Risk Management Rules
Risk Per Trade
1.5%
of total capital
Min Capital
₹1,00,000
Hold Period
7–30 days
Segment
Options
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 RELIANCE · 2021-07-05 to 2026-07-15 · 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.

Sample Trade Walkthrough
HDFC 2024-01-15 · Long
WIN
Entry ₹
₹1,660.00
Stop Loss ₹
₹1,600.00
Target ₹
₹1,780.00
Exit ₹
₹1,778.00
Bought HDFC 1,600 CE (Feb monthly, 35 DTE) — delta 0.78, deep ITM. Option price was ₹78. Technical breakout confirmed. Stock moved from ₹1,660 to ₹1,778 (+₹118). Delta ~0.80 means option moved ~₹94. Option exit price: ₹78 + ₹94 = ₹172. Return on option: 120% on ₹78 invested vs 7% on ₹1,660 stock. Leverage with defined risk — ideal for directional trades.
Strategy Parameters
ParameterDefaultMinMaxTypeDescription
delta_target 0.75 0.60 0.90 decimal Deep ITM means high delta — acts like stock
dte_entry 30 15 60 integer Days to expiry
trend_ema 20 10 50 integer Only trade in EMA trend direction
profit_pct 30.0 20.0 60.0 decimal Exit at N% gain
stop_pct 20.0 10.0 40.0 decimal Exit at N% loss
Frequently Asked Questions
Deep ITM (In The Money) Option Buying purchases options with strikes significantly favorable to current price (high delta, typically 0.80-0.95), behaving almost like the underlying stock or futures itself but with reduced capital requirement and limited downside compared to outright stock ownership.
Deep ITM options require less margin than futures while providing similar directional exposure (high delta). They also have inherently limited downside risk (premium paid) compared to futures which can result in margin calls during adverse moves, making them attractive for traders wanting leveraged exposure with defined maximum loss.
Deep ITM options have significantly lower time decay (theta) relative to their premium compared to ATM options, since most of their value is intrinsic rather than extrinsic (time value). This makes them more suitable for holding over multi-day or multi-week periods compared to ATM options which decay faster.
Choose 30-60 days to expiry for swing trades to minimize the impact of time decay while maintaining substantial delta exposure. For longer-term directional views, monthly or even quarterly expiry Deep ITM options can serve as a capital-efficient alternative to holding the underlying stock directly.
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SEBI Compliance Disclaimer

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.