Managing Zero-Days: Why 25% Profit Targets May Work Best

2025 Market Measures: Zero Day to Expiration (0DTE) Options Performance Analysis

Key Concepts:

• Zero Day to Expiration (0DTE) Options: Options contracts expiring on the same day they are traded, offering a short-term, cash-settled trading approach.
• Iron Condor: A neutral options strategy involving the sale of an out-of-the-money call spread and an out-of-the-money put spread.
• Put Spread: A bearish options strategy involving the sale of a put option and the purchase of a further out-of-the-money put option.
• VIX (Volatility Index): A measure of market expectations of near-term volatility conveyed by S&P 500 index option prices.
• CVAR (Conditional Value at Risk): A risk management metric estimating the potential loss at a given confidence level.
• Intraday Range: The difference between the highest and lowest price of an asset during a single trading day.
• Delta: A measure of an option's sensitivity to changes in the underlying asset's price.
• Wing Rate: The frequency with which an option's price reaches the strike price of the wings (the outermost strikes in a condor).
• CR (Cost to Carry Ratio): A measure of the cost of holding an options position.

I. Market Overview – 2025 Performance

2025 was characterized by heightened market volatility, particularly in the first half of the year, with a significant swing in April. Volatility climbed from early February, peaking around a VIX level of 60+, before settling into a smoother, upward trend for the remainder of the year. The market experienced a “V-bottom” recovery. Importantly, the analysis focuses on intraday price action, as this is the primary driver for 0DTE traders, unlike longer-term traders who are affected by overnight and broader market movements. The 6.5-hour trading window for 0DTE options means most trades are exited within the first 2-3 hours.

II. Intraday Range and Volatility Comparison

Analysis of intraday trading ranges revealed that 2025 was consistent with the 10-year average, but lower than the 5-year average, which has been elevated since the beginning of the COVID-19 pandemic. A key observation was a tilt towards wider ranges on the upside (43%) compared to the downside (38%), suggesting a potential bias towards bullish strategies. This was largely attributed to the market’s predominantly upward trajectory after the February-April period. The 5-year average for both VIX and realized volatility was higher than the 10-year average, reflecting the increased volatility of recent years.

III. Strategy Performance: Iron Condors vs. Put Spreads

The core of the research compared the performance of 20-delta iron condors (with a $20 width and a 25% profit target, no stop-loss) against 30-delta put spreads (with wider wings to achieve comparable premium collection). The average premium collected for both strategies was approximately $53.

• Iron Condors: Significantly outperformed the put spreads in 2025. Average P&L was 4.88 (compared to a long-term average of 4.8), with improvements in average P&L, wing rate, and CR. The largest downside loss was also lower than the long-term average. Return on capital was substantially higher.
• Put Spreads: Performance was in line with the long-term average, or slightly worse. While profitable, the results were not as strong as the iron condor.

Notable Quote: “Zero DT performance can be very different if you experience large swings in crazy volatilities.” – Research Team

IV. Factors Contributing to Iron Condor Outperformance

Several factors contributed to the iron condor’s superior performance:

• Market Context: The predominantly upward market trend for much of the year favored the iron condor’s neutral strategy.
• Profit Target & Efficiency: Iron condors hit their 25% profit target approximately 7 minutes faster than put spreads.
• Downside Protection: The iron condor structure provided better protection against large downside moves, particularly during the 15 consecutive trading days in February-March that accounted for 58% of put spread losses.
• Upside Capture: While the market saw more upside moves, the iron condor structure was able to capitalize on the back-and-forth price action, allowing for consistent profit taking.

V. Risk Management & Volatility Analysis

• CVAR: 2025 exhibited better large downside management (lower CVAR) compared to the long-term average, contributing to the overall positive performance of both strategies.
• Volatility Dynamics: December experienced a larger drawdown in CVAR due to lower average volatility, highlighting the importance of volatility in 0DTE trading. A single day of increased volatility can significantly impact P&L.
• Correlation: The correlation between SPY price movement and 0DTE P&L was found to be very weak, almost zero.

Notable Quote: “You’re betting on the math model…You’re trading V, which is how the options are priced, but you’re saying those prices are fair and accurate.” – Trader Comment

VI. Key Takeaways & Recommendations

• Iron Condors Preferred: For the conditions of 2025, iron condors were the superior strategy, particularly for smaller to medium-sized accounts.
• Manage Profit Targets: Maintaining a 25% profit target is crucial for reducing the impact of market swings.
• Account Size Matters: Put spreads may be more suitable for larger accounts with a longer-term perspective, as they require greater capital to withstand wider P&L fluctuations.
• Zero DTE is Unique: Performance in 0DTE trading is not necessarily correlated with broader market trends. Strategies must be tailored to the unique characteristics of this short-term trading environment.
• Adapt to Volatility: Be prepared to adjust strategies based on changes in volatility levels.

Conclusion:

The 2025 Market Measures study demonstrates that 0DTE trading can be profitable even in volatile market conditions. The iron condor strategy, with its balanced risk-reward profile and efficient profit-taking, proved particularly effective. However, traders must understand the unique dynamics of 0DTE options and adapt their strategies accordingly, focusing on risk management and profit target optimization. The research emphasizes that success in 0DTE trading relies on understanding the mathematical model and exploiting the short-term pricing inefficiencies, rather than predicting long-term market direction.