Bank Nifty Short Strangle Strategy Backtest
Bank Nifty Short Strangle Option Strategy Backtest | This strategy is executed when you think the market will trading in the range or you can say range bound activity
Sell CALL above ATM - receive premium
Sell PUT below ATM - receive premium
β οΈ Short Strangle Strategy (High Risk)
How it works:
- Sell an OTM CALL option above ATM
- Sell an OTM PUT option below ATM
- Receive premium from both legs
- Profit if stock stays between the strikes
- Risk: UNLIMITED if stock moves significantly
Total PnL
-
Expectancy
-
Max Profit
-
Max Loss
-
Win %
-
Loss %
-
Avg Win
-
Avg Loss
-
Max Win Streak
-
Max Loss Streak
-
Max Drawdown
-
Recovery Days
-
Yearly Monthly PnL
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total PnL | Total Trades | MDD |
|---|
Yearly Weekday PnL
| Year | Mon | Tue | Wed | Thu | Fri | Sat | PnL | Trades |
|---|
Return Achieved
π Shows maximum profit potential reached during each trade:
β’ 200%+ = More than tripled your money
β’ 100-199% = Doubled to tripled (200-300% total)
β’ 50-99% = Made 50-99% profit at best point
β’ 0-49% = Small profit or breakeven
β’ Loss = Never went profitable
Calculated as: (Max Spread Value - Cost) Γ· Cost
β’ 200%+ = More than tripled your money
β’ 100-199% = Doubled to tripled (200-300% total)
β’ 50-99% = Made 50-99% profit at best point
β’ 0-49% = Small profit or breakeven
β’ Loss = Never went profitable
Calculated as: (Max Spread Value - Cost) Γ· Cost
| Year | 200%+ | 100-199% | 50-99% | 0-49% | Loss |
|---|
β Missed Opportunities
β οΈ Shows trades that showed profit potential but still ended in loss:
β’ Identifies "painful" trades where you could have taken profits
β’ High numbers suggest poor profit-taking discipline
β’ Helps improve exit timing and trade management
Example: "3 spreads reached 200%+ return but still closed at a loss"
β’ Identifies "painful" trades where you could have taken profits
β’ High numbers suggest poor profit-taking discipline
β’ Helps improve exit timing and trade management
Example: "3 spreads reached 200%+ return but still closed at a loss"
| Max Return Achieved | Missed Profit Count |
|---|
π Profit Giveback Analysis (Max Return vs Exit Return)
π Shows relationship between best performance and final outcome:
β’ Left columns β Gave back most profits (exited poorly)
β’ Right columns β Captured most profits (exited well)
β’ Diagonal β Exited near peak performance
β’ Helps identify if you exit too early or too late
Example: "15 spreads reached only 0-49% max return and exited at a loss"
β’ Left columns β Gave back most profits (exited poorly)
β’ Right columns β Captured most profits (exited well)
β’ Diagonal β Exited near peak performance
β’ Helps identify if you exit too early or too late
Example: "15 spreads reached only 0-49% max return and exited at a loss"
Understanding Bull Call Spread Metrics
Why Return Percentages instead of Price Multiples?
Traditional Price Multiples (Wrong for spreads):
β’ 2x price multiple β 200% return for spreadsβ’ Doesn't account for net debit cost
β’ Misleading for defined-risk strategies
Return Percentages (Correct for spreads):
β’ Shows actual profit percentageβ’ Accounts for cost (net debit)
β’ Matches how traders think about returns
π Calculation Example:
Buy Call: 53.65 | Sell Call: 16.05 β Net Debit: 37.60
During trade: Spread value reaches 90.00
Return = (90.00 - 37.60) Γ· 37.60 = 139% return
This goes in 100-199% bucket
π― How to Use These Metrics:
- Return Achieved: Assess trade setup quality
- Missed Opportunities: Improve profit-taking discipline
- Giveback Analysis: Optimize exit timing
Trades
| Symbol | Spot Entry | Spot Exit | Spot Ξ | Entry Date | Entry Day | Exit Date | Exit Day | Expiry | Strategy | Strikes | CALL Entry | PUT Entry | Total Credit | CALL Exit | PUT Exit | Exit Price | Strategy High | Strategy Low | DTE | PnL | Max Profit | Max Loss | Breakeven | Equity | DD |
|---|
Bull Call Spread Calculations:
β’ Net Debit = Buy Premium - Sell Premium
β’ Max Profit (Theor) = (Sell Strike - Buy Strike) - Net Debit
β’ Max Loss (Theor) = Net Debit (premium paid)
β’ High/Low = Spread value (Buy Price - Sell Price) during trade
β’ Actual PnL = Exit Spread Value - Entry Spread Value
β’ Net Debit = Buy Premium - Sell Premium
β’ Max Profit (Theor) = (Sell Strike - Buy Strike) - Net Debit
β’ Max Loss (Theor) = Net Debit (premium paid)
β’ High/Low = Spread value (Buy Price - Sell Price) during trade
β’ Actual PnL = Exit Spread Value - Entry Spread Value
"The temptation to βmake back losses quicklyβ is the root of most blowups. Revenge trading in options is especially dangerous."
"AI Backtesting tools are for informational and educational purposes only β they are not investment advice. We do not provide tips and advice. Investment in stock market is subject to financial risk, Please consult your financial advisor before investing any money"