1. What Makes Hedging “Advanced”?
Basic hedging uses straightforward tools like:
Buying puts to protect long positions
Selling futures against a portfolio
Using simple covered calls
Advanced hedging goes several steps deeper, using:
Multi-leg derivatives
Volatility-based adjustments
Dynamic delta/gamma balancing
Cross-asset risk offsets
Market-structure aligned protection
Time decay and IV crush advantage
Partial, rolling, and ratio hedging
The idea is simple: Instead of eliminating risk completely, advanced hedging balances risk and return to improve profitability over time.
2. Dynamic Delta Hedging
One of the core concepts in advanced hedging is delta hedging, primarily used by option writers, institutions, and algorithmic traders.
How it works:
Every option has delta, which measures how much the option’s price moves relative to the underlying.
A trader continuously adjusts futures or stock positions to keep the overall delta close to zero.
For example:
You sell a call option with delta +0.4
To hedge, you short 40 shares (or equivalent futures)
As the market moves, delta changes, so you rebalance (buy/short) to stay delta-neutral.
Why it’s advanced:
Requires constant monitoring
Involves forecasting volatility shifts
Needs strong understanding of Greeks
Delta hedging is the backbone of market-neutral strategies, used heavily by HFTs, prop desks, and market makers.
3. Gamma Scalping
Gamma scalping is an advanced extension of delta hedging.
Key idea:
When you buy options, you gain positive gamma.
Positive gamma lets you profit from intraday price swings, provided you adjust delta actively.
Example:
You buy a straddle (long gamma).
When market moves up, you sell futures at higher price.
When market dips, you buy futures at lower price.
Even if the option decays, this scalping around volatility can outperform theta loss.
Why advanced?
Requires rapid execution and discipline
Depends on volatility forecasts and market structure
Works best in high VIX environments
Many algorithmic strategies use gamma scalping to capture volatility spikes.
4. Ratio Hedging
Instead of a 1:1 hedge, advanced traders use ratio hedging to reduce cost and maximize coverage efficiency.
Example
You hold:
100 shares of a stock
Instead of buying 1 put, you buy:
0.75 puts (3/4th hedge) to reduce premium cost
Or in F&O:
You hedge an equity portfolio with Nifty futures at 0.7 ratio
This covers systemic risk while leaving room for upside.
Why it’s useful:
Cheaper than full hedging
Maintains bullish bias
Helps outperform in rising markets
Professional hedgers rarely hedge 100%—they target optimal hedge ratio, statistically between 0.5 to 0.8.
5. Calendar (Time-Based) Hedging
This technique uses different expiry cycles to hedge positions.
Example
Long monthly futures
Short weekly futures
Or long far-month options and short near-month options
This helps exploit:
Time decay differences
Volatility mispricing
Event-driven risk (Budget, RBI policy, earnings)
Effectiveness:
Calendar hedging allows traders to create income from theta while keeping long-term directional protection.
6. Volatility Hedging (Vega Hedging)
For traders dealing with events like:
Elections
Monetary policy
Global uncertainty
Result season
Volatility hedging becomes essential.
How Vega hedging works:
You neutralize exposure to changes in implied volatility.
Example:
Short straddle = short vega
To hedge, you buy options with similar vega but different strikes or expiries
Or use VIX futures to counter volatility spikes
Why advanced?
Vega moves are unpredictable and can explode during sudden news. Vega hedging is crucial for premium sellers.
7. Cross-Asset Hedging
Institutions and advanced traders hedge positions using different but correlated assets.
Examples:
Hedge HDFC Bank equity risk using Bank Nifty futures
Hedge crude oil exposure with USDINR (as crude affects currency)
Hedge Nifty positions with SGX/GIFT Nifty
Hedge IT stocks using Nasdaq futures
Hedge gold with USD or 10-year bond yields
Why it works:
Market correlations are powerful, especially in globalized trading.
Cross-asset hedging reduces:
Volatility shock
Black swan impact
Sectoral divergence
8. Protective Options Structures
Instead of buying simple puts, advanced traders use multi-leg structures to reduce cost and improve payoff.
a) Collar Hedge
Long stock
Long put
Short call
Reduces cost of put = low-cost downside protection.
b) Put Spread Hedge
Buy ATM put
Sell OTM put
Lower cost than outright put, ideal for event hedging.
c) Synthetic Futures
Long call + short put
or
Short call + long put
Used to replicate or hedge futures efficiently.
d) Risk Reversal
Sell OTM call
Buy OTM put
Used extensively by institutions during bearish phases.
These structures protect against downside while keeping cost manageable.
9. Tail-Risk Hedging
Tail-risk hedging protects against rare, unexpected, but massive crashes (e.g., COVID crash, 2008, sudden geopolitical tension).
Popular tools:
Deep OTM puts
VIX futures / options
Long strangles on low IV days
Black Swan hedges (long gamma long vega)
Though expensive, tail hedging saves portfolios during extreme volatility.
10. AI-Driven Hedging Models
Modern hedging integrates machine learning for:
Volatility prediction
Correlation breakdown detection
Regime identification
Market-structure shifts
Auto delta/gamma adjustments
AI-based hedging can:
Reduce reaction time
Improve precision
Adjust dynamically to liquidity
Detect early signs of volatility expansion
This is used heavily by institutional options desks and large quant funds.
11. Market-Structure Based Hedging
Advanced traders hedge based on:
Liquidity zones
POC levels
Volume profile
VWAP zones
Break of structure (BoS)
Premium/discount zones
For example:
Hedging when price approaches a high-volume node
Hedging intraday longs near previous day high liquidity traps
Scaling hedges based on market structure weakness
This creates context-based hedging, not blind hedging.
12. Rolling Hedges
Instead of static positions, advanced traders roll hedges:
To next strike
Next expiry
Different ratio
Different structure
Rolling helps:
Lock profits on hedges
Reduce premium cost
Maintain continuous risk protection
Adjust to trend changes
Example:
Your protective put becomes profitable after a fall
→ Roll down and capture gains while maintaining coverage.
Conclusion
Advanced hedging is not about eliminating risk—it’s about controlling it intelligently. From delta-gamma management to cross-asset protection, option structures to AI-driven adjustments, the goal is simple: survive volatility, protect capital, and ensure consistent profitability.
Basic hedging uses straightforward tools like:
Buying puts to protect long positions
Selling futures against a portfolio
Using simple covered calls
Advanced hedging goes several steps deeper, using:
Multi-leg derivatives
Volatility-based adjustments
Dynamic delta/gamma balancing
Cross-asset risk offsets
Market-structure aligned protection
Time decay and IV crush advantage
Partial, rolling, and ratio hedging
The idea is simple: Instead of eliminating risk completely, advanced hedging balances risk and return to improve profitability over time.
2. Dynamic Delta Hedging
One of the core concepts in advanced hedging is delta hedging, primarily used by option writers, institutions, and algorithmic traders.
How it works:
Every option has delta, which measures how much the option’s price moves relative to the underlying.
A trader continuously adjusts futures or stock positions to keep the overall delta close to zero.
For example:
You sell a call option with delta +0.4
To hedge, you short 40 shares (or equivalent futures)
As the market moves, delta changes, so you rebalance (buy/short) to stay delta-neutral.
Why it’s advanced:
Requires constant monitoring
Involves forecasting volatility shifts
Needs strong understanding of Greeks
Delta hedging is the backbone of market-neutral strategies, used heavily by HFTs, prop desks, and market makers.
3. Gamma Scalping
Gamma scalping is an advanced extension of delta hedging.
Key idea:
When you buy options, you gain positive gamma.
Positive gamma lets you profit from intraday price swings, provided you adjust delta actively.
Example:
You buy a straddle (long gamma).
When market moves up, you sell futures at higher price.
When market dips, you buy futures at lower price.
Even if the option decays, this scalping around volatility can outperform theta loss.
Why advanced?
Requires rapid execution and discipline
Depends on volatility forecasts and market structure
Works best in high VIX environments
Many algorithmic strategies use gamma scalping to capture volatility spikes.
4. Ratio Hedging
Instead of a 1:1 hedge, advanced traders use ratio hedging to reduce cost and maximize coverage efficiency.
Example
You hold:
100 shares of a stock
Instead of buying 1 put, you buy:
0.75 puts (3/4th hedge) to reduce premium cost
Or in F&O:
You hedge an equity portfolio with Nifty futures at 0.7 ratio
This covers systemic risk while leaving room for upside.
Why it’s useful:
Cheaper than full hedging
Maintains bullish bias
Helps outperform in rising markets
Professional hedgers rarely hedge 100%—they target optimal hedge ratio, statistically between 0.5 to 0.8.
5. Calendar (Time-Based) Hedging
This technique uses different expiry cycles to hedge positions.
Example
Long monthly futures
Short weekly futures
Or long far-month options and short near-month options
This helps exploit:
Time decay differences
Volatility mispricing
Event-driven risk (Budget, RBI policy, earnings)
Effectiveness:
Calendar hedging allows traders to create income from theta while keeping long-term directional protection.
6. Volatility Hedging (Vega Hedging)
For traders dealing with events like:
Elections
Monetary policy
Global uncertainty
Result season
Volatility hedging becomes essential.
How Vega hedging works:
You neutralize exposure to changes in implied volatility.
Example:
Short straddle = short vega
To hedge, you buy options with similar vega but different strikes or expiries
Or use VIX futures to counter volatility spikes
Why advanced?
Vega moves are unpredictable and can explode during sudden news. Vega hedging is crucial for premium sellers.
7. Cross-Asset Hedging
Institutions and advanced traders hedge positions using different but correlated assets.
Examples:
Hedge HDFC Bank equity risk using Bank Nifty futures
Hedge crude oil exposure with USDINR (as crude affects currency)
Hedge Nifty positions with SGX/GIFT Nifty
Hedge IT stocks using Nasdaq futures
Hedge gold with USD or 10-year bond yields
Why it works:
Market correlations are powerful, especially in globalized trading.
Cross-asset hedging reduces:
Volatility shock
Black swan impact
Sectoral divergence
8. Protective Options Structures
Instead of buying simple puts, advanced traders use multi-leg structures to reduce cost and improve payoff.
a) Collar Hedge
Long stock
Long put
Short call
Reduces cost of put = low-cost downside protection.
b) Put Spread Hedge
Buy ATM put
Sell OTM put
Lower cost than outright put, ideal for event hedging.
c) Synthetic Futures
Long call + short put
or
Short call + long put
Used to replicate or hedge futures efficiently.
d) Risk Reversal
Sell OTM call
Buy OTM put
Used extensively by institutions during bearish phases.
These structures protect against downside while keeping cost manageable.
9. Tail-Risk Hedging
Tail-risk hedging protects against rare, unexpected, but massive crashes (e.g., COVID crash, 2008, sudden geopolitical tension).
Popular tools:
Deep OTM puts
VIX futures / options
Long strangles on low IV days
Black Swan hedges (long gamma long vega)
Though expensive, tail hedging saves portfolios during extreme volatility.
10. AI-Driven Hedging Models
Modern hedging integrates machine learning for:
Volatility prediction
Correlation breakdown detection
Regime identification
Market-structure shifts
Auto delta/gamma adjustments
AI-based hedging can:
Reduce reaction time
Improve precision
Adjust dynamically to liquidity
Detect early signs of volatility expansion
This is used heavily by institutional options desks and large quant funds.
11. Market-Structure Based Hedging
Advanced traders hedge based on:
Liquidity zones
POC levels
Volume profile
VWAP zones
Break of structure (BoS)
Premium/discount zones
For example:
Hedging when price approaches a high-volume node
Hedging intraday longs near previous day high liquidity traps
Scaling hedges based on market structure weakness
This creates context-based hedging, not blind hedging.
12. Rolling Hedges
Instead of static positions, advanced traders roll hedges:
To next strike
Next expiry
Different ratio
Different structure
Rolling helps:
Lock profits on hedges
Reduce premium cost
Maintain continuous risk protection
Adjust to trend changes
Example:
Your protective put becomes profitable after a fall
→ Roll down and capture gains while maintaining coverage.
Conclusion
Advanced hedging is not about eliminating risk—it’s about controlling it intelligently. From delta-gamma management to cross-asset protection, option structures to AI-driven adjustments, the goal is simple: survive volatility, protect capital, and ensure consistent profitability.
I built a Buy & Sell Signal Indicator with 85% accuracy.
📈 Get access via DM or
WhatsApp: wa.link/d997q0
Contact - +91 76782 40962
| Email: techncialexpress@gmail.com
| Script Coder | Trader | Investor | From India
📈 Get access via DM or
WhatsApp: wa.link/d997q0
Contact - +91 76782 40962
| Email: techncialexpress@gmail.com
| Script Coder | Trader | Investor | From India
Pubblicazioni correlate
Declinazione di responsabilità
Le informazioni e le pubblicazioni non sono intese come, e non costituiscono, consulenza o raccomandazioni finanziarie, di investimento, di trading o di altro tipo fornite o approvate da TradingView. Per ulteriori informazioni, consultare i Termini di utilizzo.
I built a Buy & Sell Signal Indicator with 85% accuracy.
📈 Get access via DM or
WhatsApp: wa.link/d997q0
Contact - +91 76782 40962
| Email: techncialexpress@gmail.com
| Script Coder | Trader | Investor | From India
📈 Get access via DM or
WhatsApp: wa.link/d997q0
Contact - +91 76782 40962
| Email: techncialexpress@gmail.com
| Script Coder | Trader | Investor | From India
Pubblicazioni correlate
Declinazione di responsabilità
Le informazioni e le pubblicazioni non sono intese come, e non costituiscono, consulenza o raccomandazioni finanziarie, di investimento, di trading o di altro tipo fornite o approvate da TradingView. Per ulteriori informazioni, consultare i Termini di utilizzo.
