# Risk $5 to Make $50: How to Pick 0DTE Iron Condor Strikes by Spread Premium

> Spread premium targeting picks 0DTE iron condor strikes by what each entry collects or risks, not by delta. Credit and debit examples, backtested in 2026.

- URL: https://optionomega.com/blog/0dte-iron-condor-spread-premium-targeting/
- Published: 2026-08-06
- Author: Option Omega
- Topics: 0DTE, Iron Condor, Reverse Iron Condor, Optimizer, SPX
- Video: [Risk $5 to Make $50: How to Set Up Trades by Risk/Reward (0 DTE Iron Condor and Reverse Iron Condor)](https://www.youtube.com/watch?v=eHgVZM42tPE)

## Key points

- Spread premium targeting picks the spread whose price is closest to a target you set, so every entry collects or risks about the same amount.
- On a 0DTE short iron condor, an Optimizer run of close to 300 backtests ($2–$6 targets, 50 wide) showed higher premium targets had higher capture rates in 2026.
- On a debit strategy, risking about $10 per trade had a higher capture rate than risking about $25, year to date at the time of the video.
- A long iron condor risking about $5 for a payout of up to about $50 won only about 28% of the time and still came out ahead year to date at recording.

Most traders pick iron condor strikes by delta or by width. But what many traders care about most is risk and reward: how much they collect, how much they pay, and how much they can lose.

Spread premium targeting in Option Omega flips the process. Users set the premium they want, and the backtester finds the strikes that match it on every entry. We walked through it with a 0DTE short iron condor optimized across about 300 backtests, a debit strategy whose cost per spread was all over the map, and a long iron condor that risks about $5 for a payout of up to about $50.

## What spread premium targeting does

With spread premium targeting, users choose a spread width and a target premium for each side. At entry, the backtest selects the spread of that width whose price is closest to the target.

- **On credit trades,** the target is what you collect. A $4 target on a 50-wide put spread means each entry finds the 50-wide spread worth about $4.
- **On debit trades,** the target is what you pay. A $10 target means you risk about $10 per spread, every time.

Delta-based entries drift: the same delta can cost $9 one day and $30 the next. Premium targeting keeps what each entry collects or pays more consistent across market conditions.

## Example 1: A 0DTE short iron condor

We started with a 0DTE short iron condor from the Option Omega trial. (New to this trade? See [how to backtest a 0DTE iron condor on SPX](https://optionomega.com/blog/how-to-backtest-a-0dte-iron-condor-on-spx/).) The original backtest used $4 legs on the put and call sides. We switched both sides to spread premium targeting at about $4 each and reran it year to date. It had held up reasonably well for most of 2026, softening only in the month before recording.

### Optimizing the premium target

One good backtest is not proof. The real question is whether $4 is special, or whether results hold up across a range of premiums. That's what the [Optimizer](https://optionomega.com/features/backtesting/) helps show.

The setup:

- **Width:** 50 wide on both sides
- **Put target:** $2.00 to $6.00 in $0.25 steps
- **Call target:** $2.00 to $6.00 in $0.25 steps
- **Total:** close to 300 backtests, run at once in a minute or two

Sorting the results by capture rate showed a clear pattern. Higher premium targets produced higher capture rates in this 2026 backtest. That's a different direction than we expected.

We deliberately did not pick the single best result, since the top row of an optimization is especially prone to overfitting. We chose a configuration from the middle of the strong cluster instead. Its capture rate was still significantly better than the original $4 backtest over the same year-to-date period, which is also the period it was chosen from.

Picking from the middle of a strong cluster shows whether a result hinges on one exact setting. It doesn't rule out overfitting, and the best setting in a backtest won't necessarily be the best one going forward.

## Example 2: Debit trades and the cost of each spread

The second example is where premium targeting gets interesting. We took a debit strategy from the trial and opened its trade log. The spreads were roughly 12 to 15 wide, and the cost per spread was all over the map: about $9, $10, $12, $13, and one at $30.

That $30 entry is what premium targeting is designed to address. With delta- or width-based strikes, the cost of each spread isn't fixed.

### Same strategy, fixed cost

First, we switched the legs to spread premium targets of $15 and $10. The results barely moved. The capture rate was the same, it had one extra winner by chance, and MAR was slightly lower. So in this test, targeting premium didn't break the strategy.

### Risking $10 instead of $25

The original version risked about $25 per trade, and the max loser in the backtest was right around $25. Next we asked: could the same idea work risking only $10?

We set the targets to $6 and $4, about $10 total. Year to date, the $10 version had a **higher** capture rate than the $25 version, and MAR held up. In this test, paying less didn't mean a lower capture rate.

### How cheap debit trades can come out ahead

Most of these trades lose. Many expire worthless. But every so often one finishes in the money and pays 3x or even 5x the cost. In one trade the spread finished partly in the money after SPX moved about 35 points from the open.

With the cost of each trade capped, a few outsized winners can carry a strategy's results.

## Risk $5 to make $50: the long iron condor

The last test pushed the idea to the extreme. We expected it to fail.

| Setting | Value |
| --- | --- |
| Structure | Long iron condor, also called a reverse iron condor or RIC (a call debit spread plus a put debit spread) |
| Put spread target | $3 debit |
| Call spread target | $2 debit |
| Total risk per trade | about $5 |
| Maximum payout | about $50 (about $45 profit after the $5 cost) |
| Win rate, year to date at recording | about 28% |

Year to date at the time of the recording, it came out ahead. There were enough outsized moves in 2026 to make up for losing more than 7 times out of 10.

A 28% win rate sounds bad until you look at the payoff. Risking about $5 for a payout of up to about $50 (about $45 of profit) means a handful of winners can cover a long run of small losses. Win rate on its own says little without the risk/reward next to it.

The entry conditions came from an existing trial backtest. The point here is the risk/reward framing, not the specific filters.

## Key takeaways

- **Spread premium targeting picks strikes by what each entry collects or pays,** not by delta alone, which keeps that cost consistent from entry to entry.
- **We optimized the target, then picked from the middle.** Close to 300 backtests ran in the Optimizer, and we chose a setting inside the strong zone rather than the single best row.
- **On the debit strategy, cheaper did better in our test.** Risking about $10 instead of $25 produced a higher capture rate year to date in 2026.
- **A low win rate needs the payoff next to it.** The long iron condor won about 28% of the time and still came out ahead year to date, risking about $5 for a payout of up to about $50.

Spread premium targeting is available in the [backtester](https://optionomega.com/features/backtesting/) and on the Option Omega [automation platform](https://optionomega.com/features/trading/), so the same settings you backtest can be traded live.

**Try it on your own strategy.** [Start a free trial](https://optionomega.com/pricing/), open a saved test, switch a leg to spread premium targeting, and run an optimization across a range of targets.

*Watch the full walkthrough: [Risk $5 to Make $50: How to Set Up Trades by Risk/Reward](https://www.youtube.com/watch?v=eHgVZM42tPE).*

*Backtest results are hypothetical and do not guarantee future performance. Options trading involves substantial risk.*