Backtest
How the Helion strategy is built, stress-tested, and disciplined — across the full market cycles a live track record can't yet show.
Backtest page — hover preview
1990–2025
Real observed options data
Both secular bears, replayed
0.97
Pre-2013 data validation
NAV correlation, two sources
−78% → −38%
Dot-com max drawdown
Unmanaged → disciplined
$1 → $19.70
Disciplined, 2000–2025
Net of fees (hypothetical)
The Backtest · Real Data, 1990–2025

How the Helion Strategy Is Built, Stress-Tested, and Disciplined

A live track record can only show the regimes markets have handed us since inception. The backtest reaches back through the ones they haven’t — on real, observed option prices.

The Helion strategy is implemented in both the Horizon and Meridian funds. Those vehicles differ in legal structure and investor eligibility — not in investment approach. Everything on this page describes the strategy itself, on a backtested / hypothetical basis. It is not a presentation of either fund’s live results.

The Question

The One Regime a Live Record Can’t Yet Show

Helion’s live history contains real drawdowns — but they share a defining feature: every one resolved in a V-shaped recovery. It contains no multi-year secular bear, because there hasn’t been one since 2000–02.

A long-dated, convex option sleeve is most exposed in precisely that regime — a slow, grinding decline that carries markets lower without ever spiking volatility.

So rather than assume, we tested the strategy against the two secular bears markets have actually seen: the dot-com bust (2000–02, index −49%) and the Global Financial Crisis (2007–09, index −57%) — on the real option prices that traded through both.

A Helion analyst at the desk, facing the market
What We Found

Left Unmanaged, Convexity Amplifies Bear Drawdowns

Convexity is not a hedge. It is leverage — and leverage cuts both ways.

In both secular bears, unmanaged convexity drew down more deeply than the index it is built on. It enters a bear heavily exposed, and long-dated options fall faster than the index. Most managers would bury this. We lead with it — because everything that follows only means something if you believe this part.

Maximum drawdown — unmanaged convexity vs. the index

Peak-to-trough, on real observed option prices. The convex sleeve is the deepest bar in both crises.

Backtested / hypothetical. Real option data; the reserve sleeve is a calibrated proxy (see “What Is Real”).

Survival depended on the shape of the recovery. In the GFC’s sharp V-shaped rebound convexity round-tripped its drawdown and recovered — the convex thesis working as designed. In the dot-com bust, an L-shaped grind with no bounce to recover into, that same unmanaged convexity compounded losses and badly lagged. The one regime absent from the live record is the regime in which convexity’s greatest strength inverts into its greatest liability.

Why You Can Trust the Pre-2013 Data

These Are Real Option Prices — and We Proved It

Our production data provider’s surface begins in 2013. To reach the dot-com bust and the GFC we sourced an independent vendor’s record of real, listed SPX option prices back to 1990 — then validated it against our production data on the years where both exist.

NAV correlation
0.97
The strategy’s NAV path on the pre-2013 source vs. our production data, over their overlap — near-identical behavior.
Price agreement
0.26%
Median difference in option mid-price between the two independent sources. Drawdown gap: ~1 point.
Volatility reconstruction
0.992
Reconstructed vs. actual VIX, 1996–2012 — the crisis volatility spikes are real, not assumed.

The dot-com bust and the Global Financial Crisis are replayed on the option prices that actually traded through them — validated to within a fraction of a percent of our production data. It is a reconstruction of those markets, not an estimate of them.

The full validation record — every window, every gate, and where the vendor data disagrees and by how much — is in the technical paper, available under NDA.

The Response

A Disciplined De-Risk Layer

Declines do not all look alike, and any single trigger tuned for one shape of decline will be late to the others — which matters most for a convex book, because it is the slow, grinding bear that hurts it worst. What Helion does about that is a rules-based exposure layer. In a sustained decline, recommended exposure is reduced toward a defensive floor; returning to full exposure is deliberate rather than automatic. All of it is implemented, advisory, and de-risk-only.

De-risking is systematic

When the framework confirms a sustained deterioration, recommended exposure is cut toward a defensive floor — promptly, on rules, and auditable at every step. It does not wait for conviction.

Returning to exposure is deliberate

Exposure is not restored on the first strong week. Bear markets produce vigorous rallies that fail, and a discipline that re-engages on one of them is not a discipline. Getting out is the easy half; this governs the hard half.

Advisory, not automatic

The framework produces exposure recommendations shown on the desk and reviewed and executed by the CIO. It never auto-trades, and it guarantees no protection.

How the framework is built — the signals themselves, the parameters that govern them, and the rules that combine them — is proprietary and is not published. What follows is what the framework did.

The Result

The Discipline Roughly Halves the Secular-Bear Drawdown

Dot-com · max drawdown
−78% → −38%
Unmanaged → disciplined
GFC · max drawdown
−65% → −23%
Unmanaged → disciplined
Both crises
Roughly halved
On real observed option prices

Maximum drawdown — with and without the discipline

Lower is better. Peak-to-trough, real option data. Same engine, same contracts — changing only whether the discipline is active.

It does not make the strategy safe. It makes the failure mode survivable — and, avoiding the deepest holes, it compounds from a far higher base through the recovery that follows.

Hypothetical / backtested — net of fees. The curve below is the strategy book’s research return, net of an illustrative 2% / 20% fee model (2% management, 20% incentive over an 8% soft hurdle with full catch-up and a high-water mark). It is not a presentation of either fund’s live results (see Performance for live figures). Backtested performance is not indicative of future results.

Growth of $1, net of fees — disciplined strategy vs. the index, 2000–2025

Logarithmic scale. Real option data. Net of an illustrative 2/20 fee model, vs. S&P 500 total return.

Hover any year to read both values for that year.

Avoiding the deepest bear drawdowns is what separates the disciplined line from the index over a full cycle.

Annual return by year, net of fees — disciplined vs. unmanaged vs. index

2000–2025, real option data, net of an illustrative 2/20 fee model. The dot-com years (2000–02) are where the discipline earns its keep.

Hover any year to read all three returns for that year.

Real options record · 2013–2025, net of feesReturn / yrWorst drawdownSortino
Unmanaged convexity19.7%−31.9%1.60
Current strategy — with the discipline19.7%−24.0%1.79
Out-of-sample (2021–2025, held back from development)13.9%−20.5%1.40

Comparable net return with a materially shallower drawdown and a better risk-adjusted return — the discipline earns its keep on downside and consistency, not by chasing return. On this 2013–2025 record the strategy compounded roughly 19.7% net of an illustrative 2/20 fee model — in line with the fund’s ~19.7% reported net. The out-of-sample years were held back from development, and the improvement rests on round, un-optimized parameters — consistent with a real edge rather than a curve fit.

Helion trading desk — the live strategy dashboard
How the Testing Was Built

What Is Real, and What Is a Proxy

We draw the line as tightly as we can: everything that can be real, is real.

InputReal / modeledSource & anchor check
Option prices & surface
strikes, expirations, mid prices
Real Listed SPX options, 1990–2025 (one independent source pre-2013, a second commercial source 2013+). Validated: NAV corr 0.97, price median 0.26%.
S&P 500 price pathReal 2000 peak 1527 · 2002 low 777 · 2007 peak 1565 · 2009 low 677 ✓
Interest ratesReal US Treasury (FRED), used to recompute implied vol & greeks from raw bid/ask.
Dividend yieldsReal Shiller monthly series ✓
Volatility (VIX)Real Actual / reconstructed crisis VIX, corr 0.992 (1996–2012). 2008 peak ~81 · 2002 peak ~42 ✓
Fixed-income / reserve sleeveCalibrated proxy The only modeled input. Rather than observed bond prices, the reserve sleeve uses a calibrated, rate-regime proxy for the desk’s active fixed-income management — making it the least certain part of the backtest. It is flagged plainly in The Honest Limits and the disclosures below.

Greeks recomputed, not trusted

We discard vendor-supplied greeks and recompute implied volatility and greeks from raw bid/ask with real rates and dividends — so the option leg is internally consistent across all 35 years.

The same engine, unchanged

Research runs the same engine as live trading from identical configuration files — the production logic is real code, never rewritten for the scenario.

Era-honest instruments

Option tenors are capped to what actually traded in each era, and the reserve sleeve is modeled as an active, rate-regime return rather than an assumed flat yield.

Out-of-sample, not in-sample

The 2021–2025 years were held back from development. The discipline improves return and drawdown there too — the test that separates a real edge from a curve fit.

The Honest Limits

What This Does Not Do

We would rather you hear it from us than find it later.

×

It is not a hedge, and it does not prevent losses. The convex sleeve is long-dated and can and does experience large drawdowns. Investors can lose principal.

×

It costs upside in sharp recoveries. A discipline that de-risks into weakness will sometimes be out of the market when it snaps back. A disciplined re-entry reduces that cost — it does not eliminate it.

×

The reserve sleeve is a modeled proxy. The option leg is real observed data; the fixed-income/reserve return is a calibrated proxy of the desk’s active management, and a genuine source of modeling uncertainty.

×

The out-of-sample evidence rests on a limited number of independent bear episodes. It is supportive. It is not conclusive.

×

It is a discipline, not a guarantee. It improved risk-adjusted outcomes in testing. It cannot promise to do so again. Backtested results are not indicative of future results.

Why This Matters

Convexity Is Not Rare. Surviving With It Is.

Plenty of managers will sell you asymmetric upside. Very few will show you the regime in which their own engine breaks — and fewer still have built, tested and shipped a rules-based discipline to survive it.

What the research says is narrow and specific: a convex sleeve, left alone, is a magnificent instrument in a market that recovers and a wealth-destroying one in a market that grinds. The difference between those two outcomes is not conviction, or timing, or a view. It is a rules-based exposure layer that de-risks promptly, returns to exposure deliberately, and is auditable at every step.

That is what Helion is. Not a hedge. Not a guarantee. A convex core with a disciplined risk framework wrapped around it — built to sit as a complementary sleeve inside a real portfolio, and honest enough to tell you where it hurts.

Evidence & Access

What We’ll Show You — and What Stays Ours

We’ve shown you what the framework did. Under NDA, qualified investors can see the evidence behind it in full — the complete record, the validation work, and the research programme that produced it. What the paper does not contain, and what we do not hand over under any agreement, is how the framework works. That is not a negotiating position and it is not a matter of trust: the way it is built is the firm itself, and it stays in-house — NDA or not.

The technical paper, available to qualified investors under a non-disclosure agreement, includes:

  • The full option-data validation record — every window, every gate, and exactly where the two independent data sources disagree and by how much.
  • Gross and net performance detail — the complete year-by-year record on both bases, including the out-of-sample split held back from development.
  • What the discipline is designed to achieve — the problem it addresses, the outcome it is built to produce, and how it behaved in each tested regime, described in terms of behaviour rather than construction.
  • The research record — the studies we ran and rejected, and the out-of-sample, beta-controlled tests behind what we kept: the evidence that this is disciplined engineering, not a curve fit.
  • How the backtest was built — data sourcing, the point-in-time and no-look-ahead controls, the fee model, and the fixed-income proxy’s limitations.

What it withholds is the construction: the signals, the parameters that govern them, the rules that combine them, and the mechanics of implementation. We are glad to prove the discipline works and to show you how rigorously it was tested. We will not show anyone how to rebuild it.

Access is subject to NDA and verification of investor status. Hypothetical and backtested performance is not indicative of future results.

Request the technical paper

Qualified investors, advisers, family offices and institutional allocators can request the technical paper and validation record under NDA.

Request Access

Helion Strategies reviews each request and reserves the right to decline. Interests are offered only through the applicable offering documents.

Important disclosures

Hypothetical and backtested performance. All performance shown on this page is backtested / hypothetical. Backtested performance is not indicative of future results and has inherent limitations, including that it is prepared with the benefit of hindsight and does not reflect the impact of actual trading, financing, liquidity constraints, or the emotional factors of real investment decisions.

Real option data, one modeled component. The option leg of the backtest uses real, observed listed SPX option prices (one independent source for periods before 2013 and a second commercial source from 2013), reconciled against each other over their overlap. The fixed-income / reserve sleeve is a calibrated proxy of the desk’s active management, not observed data, and is a source of modeling uncertainty.

Net of an illustrative fee model; not a fund return. Return figures are shown net of an illustrative 2% management / 20% incentive fee model (8% soft hurdle, full catch-up, high-water mark). They are the strategy book’s research return, not the live, audited net-of-fee return of any fund; actual fees, transaction costs, financing and slippage would affect realized returns. Live fund performance is reported separately on the Performance page.

One strategy, two vehicles. This page describes the Helion strategy, implemented in both the Helion Strategies Horizon Fund and the Helion Strategies Meridian Fund. Those vehicles differ in legal structure and investor eligibility, not in investment approach. Nothing here is a presentation of either fund’s live results.

Advisory framework. The exposure-management framework described here is advisory: it produces exposure recommendations reviewed and executed by the CIO. It does not automatically execute trades, and it does not guarantee any protection or outcome.

Risk. Options strategies are complex and involve substantial risk. A long-dated convex sleeve can experience large drawdowns. Investors can lose principal. Nothing herein is a guarantee of returns, risk reduction, downside protection, liquidity, or successful execution.

Offering. Interests are offered only through the applicable Private Placement Memorandum, operating agreement, subscription documents and governing documents, which control in the event of any conflict with this page. This material is for informational purposes only, is not an offer to sell or a solicitation of an offer to buy any security, and is not tax or legal advice.