Shifting Iron Condor โ€” does re-centering on long tenors work?

The idea (Sven's): sell an iron condor; when one side runs into loss, the OTHER side must be strongly in profit โ€” so you "shift" (re-center) the whole condor onto the new spot, lock in the net, and collect fresh premium. Repeat up to a few times. Hypothesis: this is easier on LONGER tenors (month/quarter) with slightly WIDER OTM strikes โ€” more room and more time to manage. We tested exactly that.

Setup: sell IC (call-spread +OTM% / put-spread โˆ’OTM%, wing = max(3%, OTM/2)); re-center when |spot/centerโˆ’1| โ‰ฅ OTM (spot reaches the short-strike region), same expiry, max 2 shifts (N2) vs static (N0). Tenors 30/60/90d, OTM 5/8/12%, M2 model 2024-26, per-trade % of notional (weekly entries).

Verdict: it does NOT hold on long tenors. Long-dated IC selling is already weak-to-negative even static (the variance premium lives at the SHORT end of the curve, not at 60โ€“90d), and the 2ร— shift makes it WORSE almost everywhere while fattening the worst week. The promising weekly 28d/5% cell from the first pass was threshold-fragile (it flipped sign when the shift trigger changed from 4% to 5%) โ€” an artifact, not an edge.

BTC โ€” full grid (static N0 vs 2ร— shift N2, per-trade %)

tenorOTMN0 /tradeN0 worstN2 /tradeN2 worstavg shiftsN2 by-year
Monat (30d)5%-0.033-2.69-0.369-4.001.9-25/-5/-10
Monat (30d)8%-0.022-3.09-0.199-6.861.6-17/+7/-12
Monat (30d)12%+0.186-5.70-0.108-7.920.9-22/+14/-4
2-Monat (60d)5%+0.046-2.35-0.257-2.662.0-9/-14/-6
2-Monat (60d)8%+0.059-2.55-0.172-5.171.9-15/-4/-0
2-Monat (60d)12%-0.190-4.92-0.210-9.661.5-43/+21/-1
Quartal (90d)5%-0.215-2.13-0.187-2.802.0+1/-20/-1
Quartal (90d)8%-0.299-2.34-0.303-3.992.0+1/-32/-3
Quartal (90d)12%-0.371-4.17+0.047-8.871.7-23/+31/-3

Green N2 cell = shifting beat static; red = shifting hurt. Mostly red. The one "green" BTC cell (90d/12%) is +0.05/trade with a 2024/25/26 swing of โˆ’23/+31/โˆ’3 โ€” pure noise, not a signal.

ETH โ€” full grid

tenorOTMN0 /tradeN0 worstN2 /tradeN2 worstavg shiftsN2 by-year
Monat (30d)5%+0.018-2.12-0.305-2.852.0-4/-26/-3
Monat (30d)8%-0.141-3.63-0.872-7.761.9-34/-50/-13
Monat (30d)12%-0.514-4.70-0.623-8.591.6-20/-40/-9
2-Monat (60d)5%-0.255-1.53-0.216-2.142.0-8/-14/-2
2-Monat (60d)8%-0.542-3.54-0.871-5.452.0-35/-50/-12
2-Monat (60d)12%-1.002-3.74-0.810-5.791.9-23/-70/+4
Quartal (90d)5%-0.201-1.29-0.256-2.192.0-1/-25/-2
Quartal (90d)8%-0.466-3.09-0.586-5.212.0-18/-43/-4
Quartal (90d)12%-1.098-3.17-0.709-4.432.0+6/-95/+10

ETH long-tenor IC selling is broadly negative (โˆ’0.5 to โˆ’1.1/trade at 60โ€“90d) โ€” and shifting makes it worse and roughly doubles the worst week.

Why it fails โ€” the mechanism

1. No premium to harvest at long tenor. The variance risk premium is concentrated in short-dated realized variance (Dew-Becker et al., JFE 2017: seller-Sharpe ~+1.3 short-dated, ~0 beyond 3 months). Selling 60โ€“90d crypto vol means selling something you are barely paid for โ€” so even the static IC bleeds. 2. Shifting realizes losses in trends. The intuition "one side's loss = the other side's gain" is true bar-to-bar, but when you re-center you BUY BACK the breached (losing) side and re-sell at the new level โ€” if the move continues (a trend, common over 1โ€“3 months) you keep locking in losses and re-selling into it. Two shifts already fatten the worst week 1.5โ€“2ร—. 3. Threshold fragility. The weekly 28d/5% cell that looked good (+0.21/trade) used a fixed 4% trigger; with the structure-scaled 5% trigger the same family is negative โ€” a sign flip on a tiny parameter change is the signature of an overfit, not a real effect.

How a shift trade actually plays out (BTC sample, best N2 cell 90_12_2)

entryshiftsPnLpath (event @ spot)
2024-01-052-4.68%open@43,918 โ†’ shif@49,939 โ†’ shif@56,392 โ†’ expi@66,220
2024-02-162+2.29%open@51,855 โ†’ shif@58,262 โ†’ shif@65,328 โ†’ expi@66,303
2024-03-292+2.06%open@69,974 โ†’ shif@61,291 โ†’ shif@68,716 โ†’ expi@60,879
2024-05-102+2.01%open@63,050 โ†’ shif@71,482 โ†’ shif@62,877 โ†’ expi@57,234
2024-06-212+1.85%open@63,638 โ†’ shif@55,750 โ†’ shif@62,487 โ†’ expi@61,949
2024-08-022-0.17%open@64,594 โ†’ shif@56,158 โ†’ shif@63,006 โ†’ expi@72,288
2024-09-132-4.29%open@57,963 โ†’ shif@65,238 โ†’ shif@73,195 โ†’ expi@100,989
2024-10-252-3.75%open@67,670 โ†’ shif@75,830 โ†’ shif@85,908 โ†’ expi@102,212

Each "shift@" is a forced re-center: the IC is closed at its current (often loss) value and re-opened around the new spot. You can see the shifts cluster in the trending windows โ€” exactly where they hurt.

Bottom line

The shifting/re-centering idea is mechanically sound but does not survive testing: long-tenor IC selling has no premium edge to begin with (VRP is short-end), and re-centering bleeds in trends. The right home for the decorrelated short-vol edge stays the SHORT tenor (weekly + overnight) where the premium actually is, with the futures-stop@breakeven as the two-sided hedge โ€” not long-dated condors that get shifted. M2 model, no exec costs (real shifting would cross ~16 spread legs per trade, making it strictly worse). Documented so it is not re-tested.

Source: run_sprint_shift_long.py (+ run_sprint_shift_ic.py), SPRINT_LOG.md.