Register for 7-day free access
Blog

Calibrate Your Entries with Historical Backtests: The Cycle × OTM Matrix

Reading time: 8 minutes

Is 30% OTM Safe Enough?

This is the question I get asked most. People asking it want a number, but the honest answer is: it depends on how long you plan to hold.

The same 30% OTM cushion means completely different assignment odds when held for 1 week versus 4 weeks. People used to go by feel. Not anymore—the Historical Backtest module turns this question into a lookup table.


How to Read the Matrix

Open "Historical Backtest" inside "My Portfolio," and the first table is the cycle × OTM matrix:

  • Horizontal axis: OTM width (20% / 25% / 30% / 35% / 40%)
  • Vertical axis: holding period (1 week / 2 weeks / 4 weeks)
  • Each cell: the historical non-assignment rate—the share of similar past positions that expired without assignment

Take SOXL as an example (equal-weighted mean):

Period \ OTM20%25%30%35%40%
1 week96.5%98.25%99.3%99.77%99.77%
2 weeks92.16%95.09%97.43%98.36%99.53%
4 weeks88.16%91.68%94.37%96.37%97.66%

Reading it is straightforward: SOXL at 30% OTM held for 1 week has a historical non-assignment rate of 99.3%; held for 4 weeks, it drops to 94.37%. Every extra stretch of time you hold, you pay for it in risk.


A Complete Pre-Trade Calibration Routine

My current routine before opening a position:

  • Step 1: Spot a contract on the Opportunities page; note its OTM width and days to expiry
  • Step 2: Open the backtest matrix, find the matching cell, check the historical non-assignment rate
  • Step 3: If the rate falls below my personal line (mine is 95%), either go deeper OTM or shorten the period
  • Step 4: Switch to the "untouched during period" view and look again—expiring unassigned doesn't mean the ride was smooth

Step 4 matters. The non-assignment rate only tells you where price stood on expiration day; the untouched rate tells you how scary the journey was. The wider the gap between the two numbers, the bumpier the ride.


Nine-Underlying Tail Comparison: Know "How Bad Can It Get"

Below the matrix is a nine-underlying tail comparison table with three numbers: historical worst, the P1 tail (the average of the worst 1%), and the non-assignment rate at 30% OTM.

This table isn't for comparing returns—it's for understanding risk. All nine are leveraged ETFs, yet their tails differ wildly. For a detailed breakdown, see "Tail Profiles of Nine Leveraged ETFs" in the Data & insights series. For now, remember one line: different underlyings, same OTM width, completely different safety margins.


Three Things Not to Misread

  • Non-assignment rate ≠ win rate. Avoiding assignment doesn't mean you made money—a mid-period premium drawdown may have stopped you out early
  • Historical non-assignment rate ≠ future probability. It describes the past; it promises nothing about the future
  • Untouched at close ≠ untouched intraday. Wick-throughs that recovered by the close are invisible to the matrix

The same disclaimer sits at the top of the page. Tools give you a frame of reference; the decision is always yours.


⚠️ Risk Disclaimer: Historical backtests are based on past data and do not guarantee future performance. Non-assignment rate is not win rate. Leveraged ETFs are highly volatile—choose your OTM width and holding period according to your own risk tolerance.