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SPX 0 DTE Iron Butterfly

Scaling Model with Re-Centering Strategy

Based on TastyTrade Market Measures Research

Strategy Parameters

Wing Width
$10
Strikes Wide
2
Max Credit
$925
Max Loss
$75
Risk/Reward
1:12.3
Re-Center Trigger
15 pts

📈 Profit Target Comparison

Take Profit Win Amount Win Rate Loss Amount EV/Trade Daily (4 trades) Monthly
10% $92.50 70% $75 +$42.25 +$169 +$3,380
15% $138.75 59% $75 +$51.11 +$204 +$4,089
20% $185.00 52% $75 +$60.20 +$241 +$4,816
35% $323.75 39% $75 +$80.51 +$322 +$6,441

💰 Break-Even Analysis

Take Profit Win $ Lose $ Break-Even WR Actual WR Edge
10% $92.50 $75 44.8% 70% +25.2%
20% $185 $75 28.8% 52% +23.2%
35% $323.75 $75 18.8% 39% +20.2%

What This Means

You have a significant edge over break-even at every profit target. Even on your worst days, the math is working for you. The 10% target requires only a 45% win rate to break even, but historically wins 70% of the time.

🎯 Daily Scenarios (4 Positions @ 70% WR, 10% TP)

Excellent Day
4 Wins / 0 Losses
+$370
24% probability
Good Day
3 Wins / 1 Loss
+$202.50
41% probability
Break-Even Day
2 Wins / 2 Losses
+$35
26% probability
Bad Day
1 Win / 3 Losses
-$132.50
8% probability
Worst Day
0 Wins / 4 Losses
-$300
1% probability
Expected Daily P/L
+$169
65% of days are profitable

🔄 Why Re-Center Every 15 Points?

Risk Management

Metric Value
Max Daily Loss (4 flies) -$300
Max Weekly Loss (worst case) -$1,500
Expected Monthly Profit +$3,380 to +$6,441
Risk/Reward per Trade 1:12.3
Probability of Worst Day 1%

Afternoon Strategy (After 2:00 PM ET)

Why Afternoons Are Different

As expiration approaches, theta decay accelerates exponentially. This means smaller profit targets get hit faster - often in minutes instead of hours. Use a tighter setup to capitalize on rapid time decay.

Time Window Credit Take Profit Win $ Time to Fill Win Rate
9:30 - 11:00 AM $925 10% $92.50 30-60 min 70%
11:00 AM - 2:00 PM $850 5-10% $42-85 15-30 min 75-80%
2:00 - 3:00 PM $850 5% $42.50 5-15 min 80%+
3:00 - 3:45 PM $800 5% $40 1-5 min 80%+
After 3:45 PM Consider sitting out - gamma risk too high
Afternoon TP
5%
Stop Loss
$75
Expected WR
80%+
Time in Trade
1-15 min

Afternoon Edge

Pros: 5% profit target hits fast (minutes, not hours). Less time exposed to adverse moves. Quick in/out = less stress.

Cons: Gamma spikes mean wrong moves hit stops instantly. Need to be more selective on entries.

📊 Contract Sizing: 5 Contracts x 4 Flies

Win per Fly
$212.50
Loss per Fly
$375
Expected Daily
+$285
Days to Pass
~6 days
Daily Outcome Probability P/L Hits $250?
4 Wins / 0 Losses 41% +$850 Yes
3 Wins / 1 Loss 41% +$262.50 Yes
2 Wins / 2 Losses 15% -$325 No
1 Win / 3 Losses 3% -$912.50 No
0 Wins / 4 Losses 0.16% -$1,500 Blow-up
Days Hitting $250+ Target
82%
Both 4W and 3W days qualify for the challenge
Blow-Up Risk
Probability per day 0.16% (1 in 625 days)
Chance before passing (~6 days) ~1%
Cost if it happens $99 fee + ~$1,250 lost progress

🏃 Bootcamp Mode (5-Day Challenge)

The Plan

5 contracts per fly | Target $50/contract ($250 total)
One winning trade = done for the day
If first fly loses, re-center and try once more

Contracts
5
Win Target
$250
Loss (at $75 stop)
$375
Win Rate
80%
Scenario Result Next Step
First fly wins +$250 Done for the day
First fly loses, second wins -$125 Small loss, try tomorrow
Both flies lose -$750 Stop for day (near limit)
Expected Value Per Trade
+$125
80% × $250 - 20% × $375 = +$125

📊 Projection Calculator

Win Rate (%)
Contracts
Profit/Contract ($)
Stop/Contract ($)

The Bottom Line

Bootcamp: 5 Contracts, $50/contract, One and Done

Win = +$250 (goal met, stop trading)
Loss = -$375 (re-center, try once more)

80% win rate | +$125 EV per trade
Loss only sets back 1.5 days - plenty of recovery room

Disclaimer: This model is based on historical TastyTrade research data. Past performance does not guarantee future results. Options trading involves significant risk of loss and is not suitable for all investors. Always paper trade or start small to validate the strategy works for your trading style. The win rates and profit expectations shown are based on backtested data and actual results may vary.
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