Inception
Inception Technology
Index Methodology
Version 1.0 — 16 April 2026 · Research index, informational use only
Research index · Informational benchmark · Not BMR-registered

Inception Systematic Trend
Index Enhanced

A daily, market-based research index that replicates the managed-futures industry and decomposes hedge-fund positioning through a single, continuous trend factor applied across 138 global futures and currency contracts. Published by Inception Technology SAS for informational and research use only; not registered under EU Benchmarks Regulation and therefore not usable as a benchmark in supervised-entity contracts within its scope.

Index family
Inception Systematic Trend
Index Administrator
Inception Technology SAS
Index Inception Date
31 December 1999
Launch Date (live)
1 January 2025
Base Index Level
100.00
Calculation Frequency
Daily
Base Currency
USD
Publication Page
lab.inception.technology

This Methodology sets out the rules and risk factors applicable to the Inception Systematic Trend Index Enhanced. The information reflects the policies of, and is subject to change by, the Index Administrator. Please read the limitations and risks section and the full disclaimer at the end of this document before relying on any information contained herein.

© 2026 Inception Technology SAS.
All rights reserved.

Chapter 1Overview of the Index

1.1Introduction

The Inception Systematic Trend Index Enhanced (the "Index") is a daily, market-based index that captures the principal driver of Commodity Trading Advisor (CTA) and managed-futures behaviour using a single, continuous trend factor applied systematically across a broad universe of 138 global futures and currency contracts.

The Index is designed, calculated and published by Inception Technology SAS (the "Index Administrator"). It is intended to serve two complementary purposes: first, to provide a transparent, rules-based proxy of the managed-futures industry's aggregate return; second, to decompose the positioning variation observed in regulatory disclosures of speculative market participants. By compressing the full Systematic Trend investment process into a single continuous signal—bounded between −1 (maximum short exposure) and +1 (maximum long exposure)—the Index provides market participants with a common, actionable language to describe trend-following flow, capacity and directional risk across asset classes.

This Methodology (the "Methodology") sets out the rules and risk factors applicable to the Index. It is publicly available at lab.inception.technology and is updated periodically. Any material change to the rules described herein is announced in advance in accordance with Section 6.7 and is reflected in the change log in Appendix F.

1.2Index Objective

The Index is designed to simultaneously achieve two quantitative objectives with respect to the managed-futures industry:

1.2.1Return correlation objective

The Index targets a statistically significant rolling correlation between its daily total return and the daily total return of the Société Générale CTA Index (the "Performance Benchmark"), the most widely-referenced benchmark of the managed-futures industry composed of the ten largest trend-following programs open to investment. Specifically, the design aim is to preserve a rolling 3-month coefficient of determination (R²) of the Index return against the Performance Benchmark return of at least 0.60, net of all modelled costs and fees, on a through-the-cycle basis.

1.2.2Positioning correlation objective

At the individual-asset level, the Index targets a statistically significant rolling correlation between its implied net position and the net position reported by the CFTC Commitments of Traders (COT) "Managed Money" category (for commodity futures) or "Leveraged Funds" category (for financial futures), as applicable. The design aim is to preserve a rolling 26-week median correlation of weekly position flows of at least 0.50 across the universe of markets for which COT disaggregated data is published by the U.S. Commodity Futures Trading Commission.

Benchmark disclosure
The SG CTA Index and the CFTC COT series referenced throughout this Methodology are third-party benchmarks. Inception Technology is not affiliated with Société Générale or the CFTC and uses these series solely for benchmarking and correlation-measurement purposes. References to these benchmarks do not constitute endorsement by the benchmark administrators.

1.3Construction Principles

The value of the Index is computed on the basis of hypothetical, theoretical investments in a basket of futures and currency contracts. The design of the Index embodies five principles, which are applied in each step of the methodology described in Chapter 2:

(a) Holistic coverage

The Index draws its signal from 138 liquid futures and currency contracts spanning four asset classes—Commodities, Equity Indices, Currencies and Fixed Income—so that no single market, group of markets or asset class can dominate the overall signal. This broad coverage is consistent with the investable universe of representative large-scale CTAs and ensures that the Index captures sources of trend-following return that are genuinely diversified.

(b) Parsimony

The Index rests on a single continuous trend estimator rather than a basket of partially correlated signals. This parsimony is a deliberate design choice: a well-specified single factor can capture the majority of the common variation in CTA positioning and returns while avoiding the over-fitting and interpretation ambiguity that plague multi-signal ensembles.

(c) Orthogonality

The trend signal is designed to be orthogonal to other common systematic equity and bond factors (value, carry, low-volatility) as well as to the broad market return. The Index therefore provides incremental information content relative to existing factor and beta benchmarks.

(d) Actionability

All rules described herein are calibrated such that the Index is replicable by a market participant with institutional-grade execution capability. Position sizing is constrained by published liquidity measures (open interest, average daily volume and two-year COT Managed Money variation; see Section 2.5), and daily rebalancing is implemented through a cascading buffer that smooths execution across multiple trading sessions (Section 2.6).

(e) Transparency & calibration disclosure

This Methodology describes every rule, data source and structural parameter employed by the Index Administrator. Position limits, sector budgets, fee assumptions and all other commercial terms are fully disclosed in Appendix C. The numerical values of the model-internal calibrated parameters — trend and volatility EWMA spans, scaling factors, execution speed and the per-asset volatility target — are treated as proprietary research output of the Index Administrator and are not disclosed in this version of the Methodology. They are made available, together with the worked computational examples of Appendix B, to qualified institutional counterparties on signature of a non-disclosure agreement. Reproduction of the Index level by a counterparty therefore requires either (i) execution of an NDA with the Index Administrator or (ii) calibration of the relevant parameters by the counterparty itself within the disclosed model structure.

1.4Benchmark Governance

1.4.1Index Administrator

Inception Technology SAS, a French société par actions simplifiée with registered office at 12 avenue Alphand, 75116 Paris, France, is the sole administrator of the Index. In its capacity as Index Administrator, it is responsible for:

1.4.2Index Committee

The Index Administrator maintains an internal Index Committee (the "Committee") composed of representatives of the Research, Product and Compliance functions. The Committee convenes at least annually, and on an ad-hoc basis when circumstances require, to review:

Decisions of the Committee are recorded in a decision log, which is retained by the Index Administrator for a minimum period of five years and is made available upon written request to authorised regulators.

1.4.3Conflicts of interest

Inception Technology is an independent index administrator and does not manage investment products referencing the Index on a discretionary basis. Where a product referencing the Index is contemplated or launched, the Index Administrator implements information barriers between its index-administration activities and any commercial activity that could benefit from advance knowledge of Index-level changes. Members of the Index Committee are required to disclose any personal or third-party financial interest in products referencing the Index.

1.5Limitations and Risks

Although the Index is designed to be representative of the markets it measures and to align with its stated objectives, it may not be representative in every case or achieve its stated objectives in all instances. The Index is designed and calculated strictly to follow the rules of this Methodology, and any Index level or other output is limited in its usefulness to such design and calculation. The following paragraphs are illustrative and non-exhaustive.

1.5.1Trend-following risk and regime sensitivity

Trend-following strategies generate positive expected return through the persistence of directional price moves. When prices mean-revert rapidly or oscillate within a range (a "whipsaw" regime), the Index can experience protracted drawdowns as the trend estimator reverses direction after being fully engaged. The Index does not contain a regime-switching mechanism and is therefore exposed to such regime sensitivity by design.

1.5.2Volatility targeting and leverage

The Index operates with an ex-ante volatility target of 20% annualised per individual asset. This target is achieved through implicit leverage: the gross notional exposure of the Index may exceed its theoretical assets under management by a multiple that varies with realised volatility across the Universe. A sudden expansion of realised volatility (a "vol shock") may lead to rapid deleveraging and to transaction costs materially above those modelled in Section 3.4.

1.5.3Liquidity and capacity risk

Position sizing is capped at an asset-by-asset level by published liquidity measures. When a cap is binding, excess exposure is reallocated to the most strongly correlated markets with remaining capacity. This reallocation introduces controlled deviations from pure equal-risk contribution within sectors and may reduce the correlation between the Index return and the Performance Benchmark return in periods of industry-wide capacity pressure.

1.5.4Data sourcing and calculation risks

The Index relies on input data sourced from third-party providers including settlement prices from relevant futures exchanges, spot foreign-exchange rates from Bloomberg, CFTC COT reports and the Barclay CTA Managed-Futures Assets series (see Chapter 5). Errors, delays, revisions or cessation of supply of such input data may affect the Index level. The Index Administrator applies the error and restatement policy described in Section 6.5. Notwithstanding the reasonable efforts of the Index Administrator, not every data discrepancy will be detected or corrected.

1.5.5Back-tested vs. live performance

Index values prior to the Launch Date disclosed on the cover of this Methodology are back-tested. Back-test assumptions are described in Chapter 7. Back-tested performance is inherently hypothetical and does not reflect actual trading. Past performance—whether back-tested or live—is not indicative of future results.

1.5.6Market disruption

Futures and currency markets occasionally experience disruptions including limit-price events, exchange closures, trading halts, failures to publish settlement prices and force-majeure events. The Index Administrator addresses such events through the procedures set out in Section 3.6 and Section 6.1. Despite these procedures, disruption events may adversely affect the Index level or the manner in which it is calculated.

1.5.7Administrator discretion

The provisions and procedures set out in this Methodology grant the Index Administrator a degree of discretion in a number of respects, including the application of expert judgment where rules are silent, the determination of whether a Market Disruption Event or Index Adjustment Event has occurred and the selection of substitute input data. The Index Administrator exercises such discretion as it determines to be most appropriate in order to preserve the stated objective of the Index.

Chapter 2Index Construction

2.1Construction Overview

The calculation of the Index follows a deterministic pipeline that transforms daily settlement prices into a daily index level. The pipeline can be summarised in six stages, each described in detail in the subsequent sections of this Chapter.

  1. Universe selection — 138 eligible futures and currency contracts are grouped into four asset-class sectors (§2.2).
  2. Single trend estimator — each market's settlement-price series is transformed into a continuous trend score bounded in $(-1, +1)$ through exponentially-weighted filtering (§2.3).
  3. Volatility estimator — each market's realised volatility is estimated via an exponentially-weighted standard deviation of log-returns and scaled to the daily volatility target (§2.4).
  4. Annual portfolio construction — a theoretical assets-under-management baseline is reset once per calendar year, allocated across four sectors at equal risk and further allocated across markets within each sector subject to liquidity and positioning caps (§2.5).
  5. Daily rebalancing — positions are adjusted each trading day to track the target notional implied by the trend signal, using a cascading execution buffer to smooth market impact (§2.6).
  6. Futures roll — each futures position is rolled to the next contract according to a rule based on open interest and last trading date (§2.7).

2.2Market Universe

2.2.1Eligibility criteria

A futures contract or currency forward is eligible for inclusion in the Universe if, on the annual Index Review Date:

  1. a continuous settlement-price series of at least ten calendar years is available from a reputable market-data provider;
  2. the average daily dollar-volume over the twelve months preceding the Index Review Date exceeds USD 50 million;
  3. the contract is listed on an established exchange or, in the case of currency forwards, is quoted by at least three independent dealers on a continuous basis;
  4. the contract settles in a currency which is, on the Index Review Date, freely convertible to USD at prevailing market rates;
  5. the contract is not subject to permanent or imminent delisting, and its inclusion does not introduce a material duplication with a contract already in the Universe (as judged by the Index Committee).

2.2.2Sector classification

Each eligible market is assigned to exactly one of four asset-class sectors. The sector composition as at the most recent Index Review Date is as follows:

Table 2.1 — Universe composition at Index Review Date
SectorCountRepresentative sub-groups
Commodities67 Energy, Metals (precious & industrial), Agriculture, Softs, Livestock
Equity Indices28 North America, Europe, Asia-Pacific, Emerging Markets, Volatility
Currencies23 Majors (DM G10), Nordics, Emerging-markets spot forwards
Fixed Income20 Short-rates (STIR), 2Y-5Y-10Y-30Y sovereign, Ultra-long
Total138

The complete list of contracts, including exchange, contract size, price multiplier and settlement currency, is provided in Appendix A. Any proposed addition, deletion or sector reclassification is reviewed at the annual Index Review and announced in advance through the procedures described in Section 6.6.

2.3Single Trend Estimator

The core of the Index is a single, continuous trend estimator that produces, for each market and each Index Business Day, a scalar signal bounded in the interval $(-1, +1)$. The signal is constructed through a five-step transformation of the settlement-price series.

2.3.1Log-returns

Let $P^{(m)}_t$ denote the continuous-contract settlement price of market $m$ on Index Business Day $t$. The daily log-return is defined as:

$$D^{(m)}_t = \ln\!\left(\frac{P^{(m)}_t}{P^{(m)}_{t-1}}\right)$$ (2.1)

The continuous-contract series is constructed from the nearest-to-delivery listed contract, adjusted for rolls according to Section 2.7. Returns are computed on the settlement price, in the contract's listing currency. Currency translation to USD is applied at the portfolio-level aggregation stage, not at the signal level.

2.3.2Exponentially-weighted volatility

The realised volatility of market $m$ on day $t$ is estimated through an exponentially-weighted moving standard deviation of the log-return series:

$$\sigma^{(m)}_t \;=\; \gamma \;\cdot\; \mathrm{EWMStd}\!\left(D^{(m)}_{t};\,\mathrm{span}=\tau_\sigma\right)$$ (2.2)

where $\mathrm{EWMStd}$ denotes the exponentially-weighted moving standard deviation as implemented by the pandas convention (with bias correction), and the calibrated parameters are:

Volatility span
τσ = [under NDA]
Half-life
[under NDA]
Scaling factor
γ = [under NDA]
Min. history
[under NDA]

The scaling factor $\gamma$ applies a small upward correction calibrated to account for the systematic underestimation of tail volatility by finite-sample exponentially-weighted estimators. The minimum-history requirement means that $\sigma^{(m)}_t$ is treated as not-a-number for the first observations of insufficient history in a new market's series, and that market is excluded from portfolio construction until sufficient history is available.

2.3.3Risk-adjusted returns

Log-returns are normalised by the prior-day volatility estimate to produce a unit-variance risk-adjusted return series:

$$R^{(m)}_t \;=\; \frac{D^{(m)}_t}{\sigma^{(m)}_{t-1}}$$ (2.3)

The use of prior-day volatility is deliberate: it prevents look-ahead bias in the signal and mimics the information set available to a market participant implementing the Index in real time.

2.3.4Trend score

The risk-adjusted return series is smoothed by an exponentially-weighted moving average (the "trend filter") and scaled by the square root of the trend span:

$$L^{(m)}_\tau(t) \;=\; \mathrm{EWM}\!\left(R^{(m)}_t;\,\mathrm{span}=\tau\right), \quad s^{(m)}_t \;=\; \sqrt{\tau}\;\cdot\;L^{(m)}_\tau(t)$$ (2.4)

The calibrated parameters of the trend filter are:

Trend span
τ = [under NDA]
Half-life
[under NDA]
Scaling
√τ [under NDA]

The $\sqrt{\tau}$ scaling produces an approximately unit-variance trend score $s^{(m)}_t$ under a null hypothesis of zero persistent drift, which enables meaningful cross-market aggregation without further per-market calibration. A derivation and heuristic interpretation of this scaling is given in Appendix B.1.

2.3.5Bounded signal

The trend score is mapped through a hyperbolic tangent to produce a bounded continuous signal:

$$\tilde{s}^{(m)}_t \;=\; \tanh\!\left(s^{(m)}_t\right) \;\in\; (-1,\,+1)$$ (2.5)

The $\tanh$ mapping has three desirable properties for the Index: it is symmetric about zero (the long/short sign of the signal is preserved), it is monotonic (stronger trends produce stronger positions), and it is saturating (positions are bounded, preventing unbounded leverage in extreme-trend regimes). The signal values $-1$ and $+1$ correspond to a "strong short" and "strong long" state respectively; a value of zero corresponds to the absence of directional conviction.

2.4Volatility Estimator and Target

The volatility estimator introduced in §2.3.2 serves two distinct purposes in the Index: (i) it normalises log-returns in the trend filter, and (ii) it governs per-asset position sizing such that each individual market contributes a target level of ex-ante risk to the portfolio.

The per-asset daily volatility target is:

Vol target
σtarget = 20% p.a.
Daily equiv.
≈ 1.26% / √252

The scaling factor applied to the bounded signal $\tilde{s}^{(m)}_t$ when translating it into a position size is proportional to $\sigma_{\text{target}}/\sigma^{(m)}_t$, so that a signal of magnitude one produces an individual position whose ex-ante daily P&L has a standard deviation equal to the target (subject to the position-limit constraints described in §2.5).

2.5Portfolio Construction — Annual Procedure

The parameters governing the Index's gross capital baseline, sectoral allocation and per-market capacity are reset once per calendar year on the Index Review Date (the last business day of January). The following four sub-sections describe the annual procedure.

2.5.1Theoretical AUM baseline

The Index operates on a notional capital baseline equal to the theoretical assets under management of the managed-futures industry as reported by the BarclayHedge CTA Managed Futures quarterly time series, taking the fourth-quarter reading of the preceding calendar year:

$$\mathrm{AUM}_y \;=\; \mathrm{Barclay}_{\mathrm{Q4},\,y-1}$$ (2.6)

This anchoring to an industry-wide AUM series ensures that the position-limit constraints defined in §2.5.4 bite in a manner that is economically meaningful: when the industry is large, per-market caps relax; when the industry contracts, caps tighten. The baseline applies for the entire calendar year $y$ and is not re-estimated intra-year.

2.5.2Sector risk budget

The Index allocates an equal share of total ex-ante portfolio volatility to each of the four asset-class sectors:

$$w^{\mathrm{sector}}_s \;=\; 25\%, \qquad s \in \{\mathrm{Commodities},\,\mathrm{Equities},\,\mathrm{Currencies},\,\mathrm{Fixed\ Income}\}$$ (2.7)

The 25% sector budget is enforced through notional allocation, not through realised-volatility balancing. Within-sector reallocation preserves the sector budget at all times (see §2.5.3).

2.5.3Equal-risk contribution within sector

Within each sector, the target allocation to each market is computed such that, at the time of the annual reset, all markets in the sector contribute the same expected volatility to the Index. Given a sector $s$ with $n_s$ eligible markets, each market's target gross notional $N^{(m),\,\star}_y$ satisfies:

$$N^{(m),\,\star}_y \;\propto\; \frac{1}{\bar{\sigma}^{(m)}_y}\;\cdot\;\frac{w^{\mathrm{sector}}_s \cdot \mathrm{AUM}_y}{n_s}$$ (2.8)

where $\bar{\sigma}^{(m)}_y$ denotes the average realised volatility of market $m$ over the twelve months preceding the Index Review Date. The proportionality is resolved by constraining the sum of gross notional within the sector to equal $w^{\mathrm{sector}}_s \cdot \mathrm{AUM}_y$.

2.5.4Position limits

The per-market gross notional computed in §2.5.3 is then capped by the following three liquidity constraints, taken as the smallest of the three:

Table 2.2 — Position-limit constraints
ConstraintThresholdReference window
Open interest cap 20% of avg. open interest 12 months preceding Index Review Date
Volume cap 100% of avg. daily volume 12 months preceding Index Review Date
COT variation cap 70% of 2-year COT MM variation 104 weeks preceding Index Review Date

Currency forwards are not subject to the open-interest cap but remain subject to the volume cap, adapted to over-the-counter turnover as reported by the BIS Triennial Survey. When a market's unconstrained ERC target exceeds one of the caps, the excess gross notional is reallocated to the markets, within the same sector, with which the capped market exhibits the highest rolling 52-week return correlation and which have remaining unused capacity.

Why this specific reallocation rule
A pure proportional redistribution across all uncapped markets within the sector would introduce unintended sector-level biases; a single-market reallocation would concentrate risk. The correlation-weighted reallocation preserves the sector's risk profile while respecting individual caps. The rule may, in extreme capacity-pressure scenarios, fail to fully re-allocate excess exposure; in such cases the sector's gross notional falls below its 25% budget and the shortfall is held in cash (see Section 3.3).

2.6Daily Rebalancing

2.6.1Signal-to-position mapping

On each Index Business Day $t$, the target gross notional position in market $m$ is given by:

$$N^{(m)}_t \;=\; \frac{\lambda\cdot\sqrt{\tau}}{\sigma^{(m)}_t}\;\cdot\; b^{(m)}_t\;\cdot\; N^{(m),\,\star}_y$$ (2.9)

where $b^{(m)}_t$ is the buffered signal described in §2.6.2 below, $N^{(m),\,\star}_y$ is the per-market annual target of equation (2.8) (subject to the caps of Table 2.2), and $\lambda$ is a global scaling parameter defined as:

$$\lambda \;=\; \frac{0.01}{\sqrt{\tau}}$$ (2.10)

The calibration $\lambda = 0.01/\sqrt{\tau}$ is a normalising convention ensuring that, when the buffered signal is at unit magnitude and realised volatility matches its target, the per-asset position contributes approximately 1% of annualised portfolio standard deviation before aggregation.

2.6.2Cascading execution buffer

Rather than executing the full signal-implied change in position on a single trading day, the Index applies a first-order infinite-impulse-response filter to the bounded signal $\tilde{s}^{(m)}_t$ in order to smooth execution across multiple days:

$$b^{(m)}_t \;=\; \alpha\,\tilde{s}^{(m)}_t \;+\; (1 - \alpha)\;b^{(m)}_{t-1}$$ (2.11)

with the initial condition $b^{(m)}_{-1} = 0$. The execution speed $\alpha$ controls the share of the signal-to-position gap that is closed on each trading day and therefore the half-life of the execution buffer. The first-order filter is computed using a standard digital-filter algorithm equivalent to scipy.signal.lfilter with coefficients $b = [\alpha]$ and $a = [1, -(1-\alpha)]$.

Execution speed α
[under NDA]
Half-life
[under NDA]
90%-complete
[under NDA]

2.6.3Execution and pricing convention

The signal is updated at the daily settlement price published by the relevant exchange for each market. Where a market settles before the close of another market, the signal is nonetheless synchronised to the cut-off time of the last settlement price received on day $t$. Orders implied by the buffered-signal change are assumed to be filled, for Index-calculation purposes, at the subsequent-day settlement price; transaction-cost assumptions are described in Section 3.4.

2.7Futures Roll Rule

Because the Index holds futures positions, each individual futures position must periodically be "rolled" from the nearest-to-delivery contract to a deferred contract to avoid physical delivery and to maintain a continuous directional exposure. The Index applies a uniform roll rule across all futures markets:

  1. Primary trigger — open-interest cross-over. On each Index Business Day $t$, the open interest of the front-month contract $\mathrm{OI}^{\mathrm{front}}_t$ is compared to the open interest of the next deferred contract $\mathrm{OI}^{\mathrm{def}}_t$. The roll is triggered on day $t+1$ (the trading day following the cross-over) if:
    $$\mathrm{OI}^{\mathrm{def}}_t \;>\; \mathrm{OI}^{\mathrm{front}}_t$$ (2.12)
  2. Secondary trigger — last-trade-date deadline. If the primary trigger has not been activated by the fifth business day preceding the front-month's last trade date (as published by the exchange or, where unavailable, the first notice date), the roll is forced on that day.
  3. Execution of the roll. The roll is executed at the settlement price of both the front-month and deferred contracts on the roll day; the Index level is computed so as to be continuous across the roll (no roll-day level discontinuity).
  4. Disruption handling. If the roll day coincides with a Market Disruption Event affecting either leg of the roll, the roll is postponed to the next Index Business Day on which no disruption is continuing. Cross-leg disruption is handled in accordance with Section 3.6.

Chapter 3Calculation of the Index

3.1Gross and Net Return Series

The Index is published in two return variants: a Gross Return series and a Net Return series. Both are computed from the same underlying position time series described in Chapter 2 but differ in their treatment of modelled fees.

For each Index Business Day $t$, the Gross Return is:

$$r^{\mathrm{gross}}_t \;=\; \frac{\sum_{m=1}^{138} N^{(m)}_{t-1}\cdot\left(P^{(m)}_t - P^{(m)}_{t-1}\right)\cdot M^{(m)}\cdot \mathrm{FX}^{(m)}_{t}}{\mathrm{AUM}_t^{\mathrm{gross}}} \;-\; c^{\mathrm{tc}}_t$$ (3.1)
$N^{(m)}_{t-1}$
— number of contracts in market $m$ held at close of day $t-1$, as determined by equation (2.9);
$M^{(m)}$
— contract multiplier as published by the exchange (see Appendix A);
$\mathrm{FX}^{(m)}_t$
— settlement-currency-to-USD spot rate on day $t$;
$\mathrm{AUM}_t^{\mathrm{gross}}$
— gross assets under management series, reset annually per (2.6) and compounded daily thereafter;
$c^{\mathrm{tc}}_t$
— modelled transaction cost, per §3.4.

The Net Return is obtained by applying the fee structure of §3.2 on a daily-accrual basis.

3.2Fee Structure

The Net Return series reflects the application of a standard CTA-fund fee structure designed to approximate the average fee load faced by end-investors in managed-futures programs:

Table 3.1 — Applied fee structure
Fee typeRateAccrual conventionCrystallisation
Management fee2.00 % p.a. Daily accrual on gross NAV, ACT/365 Paid monthly (book-keeping)
Performance fee20.00 % Daily accrual on above-HWM return, post management fee Crystallised quarterly
High-water mark Peak net-of-fee NAV per prior quarter-end Reset after crystallisation

The performance fee accrues only on incremental return above the prior high-water mark ("HWM"). When the NAV is below the HWM, no performance fee is accrued; the HWM itself is not reduced. On each calendar quarter-end (31 March, 30 June, 30 September, 31 December) any accrued and unpaid performance fee is crystallised, reducing the NAV and resetting the HWM at that crystallised level. Between crystallisations, accrued but unpaid fees are reflected in the Net Return through a continuous daily deduction.

3.3Cash Management

The portion of $\mathrm{AUM}_t$ not deployed as futures margin or as currency forward notional is assumed to be invested in 3-month U.S. Treasury Bills and is credited with the corresponding yield on a daily-accrual basis:

$$r^{\mathrm{cash}}_t \;=\; \left(1 + \mathrm{TBill}^{3M}_{t-1}\cdot\frac{91}{360}\right)^{\!\Delta t / 91} \;-\; 1$$ (3.2)

where $\mathrm{TBill}^{3M}_{t-1}$ is the most recent weekly auction high-rate for the 13-week U.S. Treasury Bill (Bloomberg ticker USB3MTA Index; source: TreasuryDirect) and $\Delta t$ is the number of calendar days between Index Business Days $t-1$ and $t$.

A 25% haircut is applied to the T-Bill collateral for the purpose of computing available margin. That is, only 75% of the T-Bill market value is counted toward the variation margin required to support the Index's gross futures exposure. The haircut is a conservative margin-risk assumption and does not affect the cash return credited in equation (3.2).

3.4Trading Costs

The Index applies a sector-specific, roll-turnover-dependent transaction cost to each daily rebalance. For each market $m$ and each Index Business Day $t$, the cost charged to the Index is:

$$c^{(m),\mathrm{tc}}_t \;=\; \kappa_{s(m)}\;\cdot\;\left|\Delta N^{(m)}_t\right|\;\cdot\; P^{(m)}_t\;\cdot\; M^{(m)}\;\cdot\;\mathrm{FX}^{(m)}_t$$ (3.3)

where $\Delta N^{(m)}_t = N^{(m)}_t - N^{(m)}_{t-1}$, $s(m)$ is the sector assignment of market $m$, and $\kappa_s$ is a sector-level cost coefficient calibrated from observed bid-ask spreads, exchange fees, clearing-house fees, and an empirically-derived slippage estimate. The calibrated values are:

Table 3.2 — Sector transaction cost coefficients (basis points of traded notional, one way)
SectorExchange feesClearingSlippageTotal κs
Commodities0.3 bp0.2 bp2.5 bp3.0 bp
Equity Indices0.2 bp0.1 bp1.2 bp1.5 bp
Currencies0.1 bp0.0 bp0.9 bp1.0 bp
Fixed Income0.2 bp0.1 bp0.9 bp1.2 bp

The total cost charged to the Index on day $t$ is the sum across all markets of the individual market costs, scaled by gross AUM to produce a return-unit cost $c^{\mathrm{tc}}_t$ applied as in equation (3.1).

3.5Rounding

Intermediate quantities (signals, positions, volatility estimates) are calculated to double-precision floating-point accuracy (approximately 15 decimal digits). Published Index levels are rounded to four decimal places (e.g., 1234.5678) and published percent returns are rounded to four decimal places in percentage-point terms (e.g., 12.3456%). Rounding is applied only to published outputs and does not propagate into the subsequent day's calculation.

3.6Market Disruption Events

A Market Disruption Event ("MDE") is the occurrence, on any Index Business Day, of any of the following with respect to a market $m$ in the Universe:

  1. the termination or suspension of, or material limitation or disruption in, the trading of the relevant listed contract;
  2. the settlement price of the relevant contract reaching the daily maximum permitted price change, as set by the exchange, from the previous day's settlement price (a "limit move");
  3. the failure of the relevant exchange or other official source to publish an official settlement price for the relevant contract by the cut-off time applied by the Index Administrator;
  4. the settlement price of the relevant contract falling at or below zero;
  5. an unscheduled closure of the relevant exchange or trading venue for a duration that prevents the orderly publication of a settlement price.

The determination of whether an MDE has occurred is made by the Index Administrator, acting in good faith. When an MDE is determined to have occurred on day $t$ with respect to market $m$:

3.7Index Adjustment Events

An Index Adjustment Event is a non-recurring event that affects the economic characteristics of a market $m$ in the Universe in a manner not addressed by the MDE rules of §3.6. Examples include:

Upon the occurrence of an Index Adjustment Event, the Index Committee determines, at its next convening, the appropriate treatment: this may include substituting a successor contract, removing the market from the Universe with inter-sector reallocation, or suspending the specific market's contribution to the Index until a clean successor is available. Any such adjustment is announced in advance via the procedures of Section 6.2.

Chapter 4Benchmarks, KPIs & Performance Reporting

4.1Return Benchmark — SG CTA Index

The Société Générale CTA Index (Bloomberg: NEIXCTA Index) is the primary return benchmark for the Index. The SG CTA Index is a daily, equally-weighted and reconstituted composite of the ten largest trend-following and systematic CTA programs, as measured by prior-year assets under management, that are open to new investment and that report net-of-fee daily returns (source: SG Prime Services, SG Trend Index Methodology, January 2013).

The Index Administrator computes, and publishes monthly, the following statistics with respect to the return comparison:

4.2Positioning Benchmark — CFTC COT

The CFTC Commitments of Traders report (the "COT Report") provides a weekly breakdown, as of Tuesday's close, of the aggregate net positions held by various trader categories in futures markets under the jurisdiction of the U.S. Commodity Futures Trading Commission. The Index Administrator uses the Disaggregated COT Report for commodity markets and the Traders in Financial Futures ("TFF") Report for financial markets.

For each COT-covered market in the Universe, the Index Administrator computes the implied net position of the Index on each Tuesday, translates it to the same notional unit as the COT report (number of contracts, long minus short) and measures the rolling correlation between the Index's weekly position change and the COT series' weekly position change for the relevant category:

4.3Academic and Industry Model Comparisons

To facilitate inter-model comparison, the Index Administrator publishes and maintains, on a best-efforts basis, reference time series for three widely-cited academic and industry trend/momentum models constructed from the same 138-market universe where feasible:

Table 4.1 — Reference comparison models
ModelLookbackSignalPrimary reference
AQR Time-Series Momentum 12-month Sign of 12-month excess return, scaled to ex-ante vol target, 1-month holding period Moskowitz, Ooi & Pedersen (2011)
GS Futures Trend Beta 15d / 8w / 12m blend Equally-weighted average of three z-scored moving averages Goldman Sachs Global Markets Division, FX Momentum Factor (2015)
Amundi DAO Convexity EMA, vol-adjusted Vol-adjusted exponential moving average with tanh bound Bruder, Dao, Richard & Roncalli (2013), Amundi Research

These comparison models are not part of the Index itself; they are published separately as auxiliary research series for the purposes of contextualising Index performance. Any methodological differences between our reproductions of these models and the original authors' implementations are documented in Appendix G of this document.

4.4Key Performance Indicators

The Index Administrator reports the following KPIs on a monthly basis to facilitate model-quality assessment and cross-benchmark comparison.

4.4.1Risk Explained (R²)

The rolling 3-month coefficient of determination between daily Index returns and a reference benchmark's returns. Values are reported separately for the SG CTA Index and each reference comparison model of §4.3.

4.4.2Flow Correlation

The rolling 26-week Pearson correlation of weekly position flows between the Index and the CFTC COT Managed-Money / Leveraged-Funds series. A positive flow correlation indicates that the Index is adjusting its positions in the same direction as the benchmarked investor population. Flow correlation is computed per market and aggregated to a cross-sectional median across the COT-covered Universe.

4.4.3Tracking Error

The annualised standard deviation of the daily return difference between the Index and the SG CTA Index, computed on a rolling 12-month window. A decreasing tracking error indicates improving alignment; a persistent upward drift may signal regime change warranting Committee review.

4.4.4Directional Consistency

The fraction of trading days, in a rolling 6-month window, on which the sign of the Index's daily return matches the sign of the SG CTA Index's daily return. A consistently high directional consistency (≥ 70%) indicates reliable sign-following of the benchmark even when magnitudes diverge.

4.5Publication Cadence and Display Conventions

Index values are published once per Index Business Day, at approximately 18:00 UTC, following the close of the last settlement price received from the exchange calendar. Historical Index values, KPI series and benchmark cross-references are available on the Index Administrator's research platform (lab.inception.technology). Published values are final on the second Index Business Day following publication; prior to that date, the published value is subject to revision per §6.5.

Chapter 5Definitions & Reference Data

5.1Glossary

The following terms, when capitalised in this Methodology, have the meanings set out below:

AUM
Assets Under Management. In the context of this Methodology, the theoretical capital baseline of the Index, reset annually per §2.5.1.
Barclay CTA Managed-Futures
The quarterly assets-under-management series published by BarclayHedge for the managed-futures / CTA industry, used as the theoretical AUM baseline of the Index.
BMR
Regulation (EU) 2016/1011 of the European Parliament and of the Council of 8 June 2016 on indices used as benchmarks in financial instruments and financial contracts, as amended.
CFTC COT Report
The Commitments of Traders report published weekly by the U.S. Commodity Futures Trading Commission, in its Legacy, Disaggregated and Traders-in-Financial-Futures variants.
CTA
Commodity Trading Advisor, as defined under the U.S. Commodity Exchange Act; by extension, the broader systematic managed-futures industry referenced by the SG CTA Index.
Designated Contract
With respect to a market $m$, the futures or forward contract selected by the Index Administrator as the reference contract from which settlement prices and trading-volume data are obtained for the purpose of Index calculation; see Appendix A.
EMA
Exponentially-weighted moving average. Where an EMA span $\tau$ is specified, the weight of observation $t-k$ relative to observation $t$ decays as $(1 - 2/(\tau+1))^k$.
ERC
Equal Risk Contribution. The within-sector allocation principle by which each market in the sector is sized such that its ex-ante contribution to portfolio volatility is equalised.
FX Rate
The spot foreign-exchange rate used to translate settlement prices from a contract's listing currency to the Index's base currency (USD). FX rates are sourced from Bloomberg at 16:00 New York time.
High-Water Mark (HWM)
The prior all-time-high net-of-fee net asset value of the Index, reset after each performance-fee crystallisation per §3.2.
Index
The Inception Systematic Trend Index Enhanced, as defined in §1.1.
Index Administrator
Inception Technology SAS, per §1.4.1.
Index Business Day
A day on which the Index Administrator publishes an Index value. The Index Business Day calendar excludes weekends and the union of closure days across the exchanges on which a material share of the Universe's volume trades.
Index Committee
The internal committee of the Index Administrator responsible for methodology review, annual parameter resets and adjudication of errors and restatements, per §1.4.2.
Index Inception Date
31 December 1999, the date from which the Index level is back-calculated to a base level of 100.00.
Index Review Date
The last Index Business Day of January of each calendar year, on which the annual portfolio-construction parameters are reset per §2.5.
IOSCO
The International Organization of Securities Commissions, whose Principles for Financial Benchmarks (July 2013) provide the international framework for benchmark administration.
Launch Date
1 January 2025, the first date on which the Index Administrator commenced publication of daily Index values to subscribers on a production (non-back-test) basis.
Managed Money
The trader category in the CFTC Disaggregated COT report corresponding to registered commodity pool operators, commodity trading advisors and unregistered funds whose clients are pre-dominantly speculative in nature.
Market Disruption Event (MDE)
Any of the events specified in §3.6.
Net Return Index
The variant of the Index that reflects the application of the fee structure of §3.2.
Settlement Price
For each Designated Contract and a given day, the official settlement price published by the futures exchange or forward dealer quotation panel on which the contract trades.
SG CTA Index
The Société Générale CTA Index (Bloomberg: NEIXCTA Index), used as the return benchmark for the Index.
Trend Span (τ)
The calibrated span of the exponentially-weighted moving average used in the trend-signal computation (§2.3.4); span $\tau$ [under NDA].
Volatility Span (τσ)
The calibrated span of the exponentially-weighted moving standard deviation used in the volatility estimator (§2.3.2); span $\tau_\sigma$ [under NDA].

5.2Abbreviations

AbbreviationExpansion
ACT/365Day-count convention (Actual days / 365)
ADVAverage Daily Volume
AUMAssets Under Management
BISBank for International Settlements
BMREU Benchmarks Regulation
COTCommitments of Traders (CFTC)
CTACommodity Trading Advisor
EMAExponentially-weighted Moving Average
ERCEqual Risk Contribution
ESGEnvironmental, Social and Governance
HWMHigh-Water Mark
IIRInfinite Impulse Response (digital filter)
IOSCOInternational Organization of Securities Commissions
KPIKey Performance Indicator
MDEMarket Disruption Event
OIOpen Interest
STIRShort-Term Interest-Rate (futures)
TFFTraders in Financial Futures (CFTC)
UCITSUndertakings for Collective Investment in Transferable Securities

5.3Data Sources

Table 5.1 — Input data sources
Data classSourceVendor field / tickerRefresh frequency
Settlement prices — futures Norgate Data (primary); Bloomberg (secondary) Continuous-contract series per market Daily, T+0 post-close
Open interest & volume Exchange feeds via Norgate Data Per designated contract Daily, T+1
Spot FX rates Bloomberg E.g., EURUSD Curncy Daily, 16:00 New York
CFTC COT Disaggregated U.S. Commodity Futures Trading Commission Weekly bulk download Weekly, Friday publication for Tuesday snapshot
CFTC TFF Report U.S. Commodity Futures Trading Commission Weekly bulk download Weekly, Friday publication
Barclay CTA AUM BarclayHedge / Backstop Quarterly time series, "CTA Managed Futures" Quarterly, with ~60-day publication lag
U.S. 3-month T-Bill U.S. Treasury (TreasuryDirect) / Bloomberg USB3MTA Index (weekly auction high-rate) Weekly, Monday
SG CTA Index benchmark Société Générale Prime Services Bloomberg: NEIXCTA Index Daily, T+1

Chapter 6General Rules

6.1Consequences of a Market Disruption Event

If, on any Index Business Day, a Market Disruption Event occurs or is continuing and the Index Administrator determines, in its sole discretion, that such MDE materially affects the Index, the Index Administrator may:

  1. defer or suspend the calculation and publication of the Index value, and any other information relating to the Index, until the next Index Business Day on which the MDE is not continuing;
  2. make such determinations and adjustments in relation to the methodology used to calculate the Index, or to the Index value itself, as the Index Administrator considers necessary to preserve the underlying objectives of the Index, including (without limitation) using the prior-day settlement price with respect to the disrupted market, interpolating a fair settlement value from correlated markets, or calculating a substitute value based on the last undisrupted settlement price;
  3. designate that the next Index Business Day on which no MDE is continuing replaces the originally-scheduled Index Business Day for the purposes of any scheduled rebalancing or roll;
  4. if the MDE persists for five consecutive Index Business Days immediately following the original day of occurrence, convene the Index Committee to determine further action, which may include material methodology adjustment or suspension of the Index.

6.2Consequences of an Index Adjustment Event

Upon the occurrence of an Index Adjustment Event affecting one or more markets in the Universe, the Index Administrator may, at its discretion:

  1. make such determinations and adjustments in relation to the methodology used to calculate the Index, or to the Index value itself, as it considers necessary to preserve the underlying objectives of the Index;
  2. select, in its sole good-faith discretion, a successor contract for the affected market;
  3. defer or suspend publication of the Index value and any other information relating to the Index until no Index Adjustment Event is continuing;
  4. discontinue publication of the Index, subject to the Index Administrator's termination policy set out in §6.3, if it determines that the foregoing measures are not feasible or would produce results inconsistent with the objectives of the Index.

6.3Termination

The Index Administrator may elect to discontinue publication of the Index only after providing at least 180 calendar days' prior notice to known subscribers, third-party data distributors and the public website. Notice is given in writing and via the Index Administrator's research platform. Prior to termination, the Index Administrator will, where practicable, identify and communicate to subscribers a replacement benchmark or a transition plan. Termination shall not be motivated by the commercial interests of the Index Administrator acting in a capacity other than that of benchmark administrator.

6.4Expert Judgment

Where this Methodology is silent, ambiguous, or requires a determination of fact (including the determination of whether a Market Disruption Event or Index Adjustment Event has occurred), the Index Administrator applies expert judgment. The application of expert judgment is:

6.5Errors and Adjustments

Errors in the calculation or publication of the Index are handled as follows:

  1. Minor errors — an error that produces a deviation of less than one basis point (0.0001) in the published Index level, and that is discovered within two Index Business Days of publication, is corrected prospectively without republication of historical values;
  2. Material errors — an error that produces a deviation of one basis point or more, or that is discovered more than two Index Business Days after publication, triggers a restatement procedure: the Index Administrator publishes a corrections notice on its research platform, re-publishes affected historical Index levels, and retains all prior-vs-corrected values in an auditable archive;
  3. Data-vendor errors — where the source of an error is an input-data-vendor correction, the Index Administrator applies the correction as of the date the vendor correction is received, and republishes affected historical values.

6.6Index and Data Reviews

The Index Administrator conducts the following scheduled reviews:

6.7Methodology Changes

Material changes to this Methodology are subject to the following procedure:

  1. the proposed change is reviewed by the Index Committee, which assesses the rationale, the expected impact on the historical Index level, and the continuity of the stated Index objectives;
  2. the proposed change is published on the Index Administrator's research platform for a consultation period of no less than 30 calendar days, during which third-party comments may be submitted in writing;
  3. on considering any comments received, the Index Committee decides to implement, modify or withdraw the proposed change;
  4. implemented changes are reflected in the Methodology with an updated Publication Date on the cover, a corresponding entry in the change log (Appendix F), and an announcement via the research platform no less than 10 Index Business Days before the effective date.

Non-material changes (e.g., clarificatory amendments, correction of typographical errors, expansion of definitions without substantive effect) may be made without the consultation period but are nonetheless recorded in the change log.

6.8Availability and Publication of Index Values

Index values are published, subject to successful input-data acquisition and calculation, on each Index Business Day at approximately 18:00 UTC. Published values are disseminated via:

Historical Index levels, from Index Inception Date, are available on the research platform. The Index Administrator accepts no liability to any person for publishing, or not continuing to publish for any period of time, an Index value at any particular place or any particular time.

6.9Index Administrator Authority

Subject to the other provisions of this Methodology, all determinations made by the Index Administrator will be made by it (a) acting in good faith and with reasonable reference to such factors as the Index Administrator deems appropriate, and (b) will be final, conclusive and binding in the absence of manifest error.

6.10Reinvestment of Dividends and Coupons

The markets in the Universe are predominantly futures or forward contracts which do not pay dividends or coupons to the position-holder. For completeness, the Index Administrator notes that:

Chapter 7Backtest Assumptions

7.1Inception Date and Launch Date

The Index has two dated milestones. The Index Inception Date is 31 December 1999; this is the earliest date from which an Index level is made available, back-calculated from the rules of this Methodology applied retrospectively to the historical settlement-price and open-interest data of the Universe. The Launch Date is 1 January 2025; this is the first date on which the Index Administrator published the Index value on a live, production basis.

Index values prior to the Launch Date are back-tested. Index values from the Launch Date onward are live. The user of the Index is invited to pay particular attention to the distinction when evaluating historical performance.

7.2Data Completeness and Proxies

A subset of markets in the Universe was not listed, or did not have sufficient liquidity for inclusion, for the entire period from Index Inception Date. In such cases, the Index Administrator has applied the following conventions:

7.3Simulated Costs and Fees

For dates preceding the Launch Date, all transaction costs and fee items applied to the Index are simulated using the calibrated parameters of this Methodology as currently in force. No attempt is made to reconstruct historical bid-ask spreads, exchange fees or clearing-house fees on a through-time basis. The current calibrations are deliberately conservative relative to the historical average cost structure; nevertheless, users should be aware that back-tested cost-adjusted returns may differ from what a contemporaneous investor would actually have experienced.

7.4Out-of-Sample Disclosure

The calibration of the Index parameters (trend span, volatility span, scaling factors, position limits, execution speed) was completed prior to the Launch Date using the back-test dataset. The Index Administrator notes that the distinction between in-sample and out-of-sample performance is material: back-tested performance may therefore be subject to in-sample bias, despite the fact that no explicit parameter fitting was performed on a look-forward basis. From the Launch Date onward, performance is strictly out-of-sample. Users are encouraged to evaluate the Index's merits primarily on live performance from the Launch Date.

Chapter 8Regulatory & ESG Disclosure

8.1IOSCO Principles for Financial Benchmarks

The Index Administrator has considered the IOSCO Principles for Financial Benchmarks (FR07/13, July 2013) in the design and administration of the Index. The following cross-reference identifies the principal means by which this Methodology addresses each of the 19 IOSCO principles that are applicable to non-regulated-entity administrators of non-critical benchmarks.

Table 8.1 — IOSCO Principles cross-reference
#PrincipleAddressed by
1Overall Responsibility of the Administrator §1.4.1, §6.9
2Oversight of Third Parties §5.3, internal vendor-oversight procedures
3Conflicts of Interest for Administrators §1.4.3
4Control Framework for Administrators Internal control framework documented separately
5Internal Oversight §1.4.2 (Index Committee)
6Benchmark Design §1.3 (Construction Principles)
7Data Sufficiency §2.2.1, §5.3
8Hierarchy of Data Inputs Primary/secondary source designation in Table 5.1
9Transparency of Benchmark Determinations Publication per §6.8
10Periodic Review §6.6 (Annual + Quarterly + Ad-hoc)
11Content of the Methodology This Methodology document in its entirety
12Changes to the Methodology §6.7
13Transition §6.3 (Termination)
14Submitter Code of Conduct Not applicable — Index does not use submission-based inputs
15Internal Controls over Data Collection Internal automated-ingest pipelines with reconciliation checks
16Complaints Procedures Complaints may be submitted to index@inception.technology
17Audits Internal audit conducted annually; external assurance available on request
18Audit Trail All Index values, input data, and calculation artefacts retained for a minimum of 5 years
19Co-operation with Regulatory Authorities Standard co-operation under applicable law and regulation

A formal statement of compliance with the IOSCO Principles, including the scope and limitations of such statement, is published separately on the Index Administrator's research platform.

8.2EU Benchmarks Regulation (BMR)

The Index is not, as at the Publication Date of this Methodology, registered as a benchmark with the European Securities and Markets Authority (ESMA) or any national competent authority under Regulation (EU) 2016/1011 (the "Benchmarks Regulation" or "BMR"). Until such registration is in force, the Index may not be used as a benchmark in financial instruments or financial contracts within the scope of the BMR by supervised entities in the European Union.

The Index Administrator has nonetheless structured this Methodology to address the informational content requirements of BMR Article 27 (Benchmark Statement). The following cross-reference illustrates the mapping:

Table 8.2 — BMR Article 27 cross-reference
BMR Art. 27 requirementAddressed by
Definitions of key terms§5.1 (Glossary)
Rationale for the methodology§1.3 (Construction Principles)
Criteria & procedures — input data, priority, minimum data, models, rebalancing Chapter 2, §5.3
Controls and rules for exercise of judgment / discretion §6.4 (Expert Judgment), §1.4.3
Procedures for stress periods / insufficient data §3.6, §6.1
Procedures for dealing with errors§6.5 (Errors and Adjustments)
Limitations of the benchmark (illiquid / fragmented markets) §1.5 (Limitations & Risks)
Clear definition of the market or economic reality measured §1.1, §1.2
Circumstances in which measurement may become unreliable §1.5, §3.6
Notice that external factors may necessitate changes §6.7, §6.3

8.3ESG Disclosure

The Inception Systematic Trend Index Enhanced does not pursue environmental, social or governance ("ESG") objectives. ESG factors are not explicitly incorporated in the eligibility criteria for markets, the signal-computation methodology, the position-sizing rules or the benchmark governance framework described herein. The Index is accordingly designated as not pursuing ESG objectives within the meaning of Article 27(2a) of the BMR and Article 13 of the EU Sustainable Finance Disclosure Regulation (Regulation (EU) 2019/2088, "SFDR").

Users requiring ESG-conforming exposure to the managed-futures industry should consult a financial advisor. The Index Administrator notes that several constituent markets (notably CO2 emissions allowances, palm oil, coal and some livestock contracts) are considered to have environmental or social externalities; their inclusion in the Universe is based exclusively on liquidity and representativeness criteria.

Appendix ADesignated Contracts (138 markets)

The following tables enumerate the 138 Designated Contracts composing the Universe of the Index as at the Publication Date of this Methodology. The codes in the first column are the internal tickers used by the Index Administrator; the long name, exchange, settlement currency and price multiplier are as published by the respective exchange or dealer panel. Any change to the Universe is announced per §6.6.

A.1 Commodities (67 contracts)

A.1.1 Energy (15)

CodeContractExchangeMultiplierCcy
BRNBrent Crude OilICE Futures Europe1,000USD
CLWTI Crude OilNYMEX (CME Group)1,000USD
GASLow Sulphur GasoilICE Futures Europe100USD
HOHeating OilNYMEX (CME Group)42,000USD
NGHenry Hub Natural GasNYMEX (CME Group)10,000USD
RBRBOB GasolineNYMEX (CME Group)42,000USD
TGDutch TTF Natural GasICE Futures Europe1,000EUR
GWMUK Natural GasICE Futures Europe1,000GBP
EUAEU Carbon Emissions (EUA)ICE Futures Europe1,000EUR
X1German Power BaseEEX1EUR
LQICE Newcastle CoalICE Futures Europe1,000USD
LUICE Rotterdam CoalICE Futures Europe1,000USD
XMDCE CokeDalian Commodity Exchange100CNY
YQDCE Coking CoalDalian Commodity Exchange60CNY
WRCZCE MethanolZhengzhou Commodity Exchange10CNY

A.1.2 Metals (19)

CodeContractExchangeMultiplierCcy
GCGoldCOMEX (CME Group)100USD
SISilverCOMEX (CME Group)5,000USD
PAPalladiumNYMEX (CME Group)100USD
PLPlatinumNYMEX (CME Group)50USD
HGCopperCOMEX (CME Group)25,000USD
ALLME Aluminium 3MLondon Metal Exchange25USD
PBLME Lead 3MLondon Metal Exchange25USD
NILME Nickel 3MLondon Metal Exchange6USD
ZINCLME Zinc 3MLondon Metal Exchange25USD
C0Iron OreSingapore Exchange100USD
YYDCE Iron OreDalian Commodity Exchange100CNY
VBSHFE AluminiumShanghai Futures Exchange5CNY
VCSHFE CopperShanghai Futures Exchange5CNY
VGSHFE ZincShanghai Futures Exchange5CNY
VMSHFE NickelShanghai Futures Exchange1CNY
VPSHFE Steel RebarShanghai Futures Exchange10CNY
WBSHFE TinShanghai Futures Exchange1CNY
WFSHFE LeadShanghai Futures Exchange5CNY
Y5SHFE Hot-Rolled CoilShanghai Futures Exchange10CNY

A.1.3 Agriculture, Softs & Livestock (33)

CodeContractExchangeMultiplierCcy
ZWChicago SRW WheatCBOT (CME Group)5,000USD
KEKC HRW WheatKCBT (CME Group)5,000USD
MWEHard Red Spring WheatMinneapolis Grain Exchange5,000USD
ZCCornCBOT (CME Group)5,000USD
ZSSoybeanCBOT (CME Group)5,000USD
ZMSoybean MealCBOT (CME Group)100USD
ZLSoybean OilCBOT (CME Group)60,000USD
RSCanolaICE Futures US20CAD
MLMilling WheatEuronext50EUR
XRRapeseedEuronext50EUR
FLEthanol ChicagoNYMEX (CME Group)29,000USD
KCCoffee CICE Futures US37,500USD
LRCRobusta Coffee 10TICE Futures Europe10USD
SBSugar No. 11ICE Futures US112,000USD
LSUWhite SugarICE Futures Europe50USD
WOCZCE Sugar WhiteZhengzhou Commodity Exchange10CNY
CCCocoaICE Futures US10USD
LCCLondon CocoaICE Futures Europe10GBP
CTCotton No. 2ICE Futures US50,000USD
WQCZCE Cotton No.1Zhengzhou Commodity Exchange5CNY
OJOrange JuiceICE Futures US15,000USD
KOPalm OilBursa Malaysia Derivatives25MYR
YHDCE Palm OleinDalian Commodity Exchange10CNY
XTDCE No.1 SoybeanDalian Commodity Exchange10CNY
XUDCE Soy MealDalian Commodity Exchange10CNY
XVDCE CornDalian Commodity Exchange10CNY
HZSAFEX Soya BeansSAFEX (JSE)100ZAR
HXSAFEX WheatSAFEX (JSE)100ZAR
HWSAFEX White MaizeSAFEX (JSE)100ZAR
HMSAFEX Yellow MaizeSAFEX (JSE)100ZAR
LELive CattleCME (CME Group)40,000USD
GFFeeder CattleCME (CME Group)50,000USD
HELean HogsCME (CME Group)40,000USD

A.2 Equity Indices (28 contracts)

CodeContractExchangeMultiplierCcy
North America
ESE-mini S&P 500CME (CME Group)50USD
NQE-mini Nasdaq-100CME (CME Group)20USD
RTYE-mini Russell 2000CME (CME Group)50USD
YME-mini Dow ($5)CBOT (CME Group)5USD
MYMMicro E-mini Dow JonesCBOT (CME Group)0.5USD
EMDE-mini S&P MidCap 400CME (CME Group)100USD
SXFS&P/TSX 60 IndexMontreal Exchange200CAD
Europe
FESXEURO STOXX 50Eurex10EUR
FDAXDAXEurex25EUR
FCECAC 40Euronext10EUR
EFIBEX 35MEFF10EUR
AEAmsterdam AEX IndexEuronext200EUR
FSMISwiss Market IndexEurex10CHF
LFTFTSE 100ICE Futures Europe10GBP
FBStoxx Banks 600Eurex50EUR
OXSwedish OMXS30Stockholm Stock Exchange100SEK
Asia-Pacific
TTTokyo TopixJPX10,000JPY
SNKNikkei 225 (SGX)Singapore Exchange500JPY
KOSKOSPI 200Korea Exchange250,000KRW
HSIHang Seng IndexHKEX50HKD
HTWMSCI Taiwan IndexHKEX100USD
YAPASX SPI 200ASX25AUD
SSGMSCI Singapore IndexSingapore Exchange200SGD
SCNFTSE China A50 IndexSingapore Exchange1USD
Emerging and Other
UMBovespa MiniB3 (Brazil Stock Exchange)0.2BRL
DIMSCI EAFEICE Futures US50USD
DEMSCI Emerging MarketsICE Futures US50USD
VXCBOE VIXCboe Futures Exchange1,000USD

A.3 Currencies (23 contracts)

CodeContractExchange / MarketMultiplierCcy
G10 Majors (CME-listed)
sixAAustralian DollarCME (CME Group)100,000USD
sixBBritish PoundCME (CME Group)62,500USD
sixCCanadian DollarCME (CME Group)100,000USD
sixEEuro FXCME (CME Group)125,000USD
sixJJapanese YenCME (CME Group)12,500,000USD
sixNNew Zealand DollarCME (CME Group)100,000USD
sixSSwiss FrancCME (CME Group)125,000USD
sixMMexican PesoCME (CME Group)500,000USD
DXUS Dollar IndexICE Futures US1,000USD
Nordic spot forwards
NOKUSDNOK / USDSpot forward (OTC)1USD
SEKUSDSEK / USDSpot forward (OTC)1USD
Emerging-market spot forwards
BRLUSDBRL / USDSpot forward (OTC)1USD
CLPUSDCLP / USDSpot forward (OTC)1USD
CNHUSDCNH / USDSpot forward (OTC)1USD
COPUSDCOP / USDSpot forward (OTC)1USD
HUFUSDHUF / USDSpot forward (OTC)1USD
ILSUSDILS / USDSpot forward (OTC)1USD
INRUSDINR / USDSpot forward (OTC)1USD
KRWUSDKRW / USDSpot forward (OTC)1USD
PLNUSDPLN / USDSpot forward (OTC)1USD
SGDUSDSGD / USDSpot forward (OTC)1USD
TRYUSDTRY / USDSpot forward (OTC)1USD
TWDUSDTWD / USDSpot forward (OTC)1USD

A.4 Fixed Income (20 contracts)

CodeContractExchangeMultiplierCcy
North America
ZT2-Year U.S. T-NoteCBOT (CME Group)2,000USD
ZF5-Year U.S. T-NoteCBOT (CME Group)1,000USD
ZN10-Year U.S. T-NoteCBOT (CME Group)1,000USD
TNUltra 10-Year U.S. T-NoteCBOT (CME Group)1,000USD
ZBU.S. T-BondCBOT (CME Group)1,000USD
UBUltra U.S. T-BondCBOT (CME Group)1,000USD
ZQ30-Day Federal FundsCBOT (CME Group)4,167USD
CGB10-Year Govt. of Canada BondMontreal Exchange1,000CAD
Europe
FGBSEuro-Schatz (2Y)Eurex1,000EUR
FGBMEuro-Bobl (5Y)Eurex1,000EUR
FGBLEuro-Bund (10Y)Eurex1,000EUR
FGBXEuro-Buxl (30Y)Eurex1,000EUR
FBTPEuro-BTP Long-TermEurex1,000EUR
FOATEuro-OATEurex1,000EUR
LLGLong GiltICE Futures Europe1,000GBP
LEUEuriborICE Futures Europe2,500EUR
Asia-Pacific
SJBJapanese Govt. Bond — MiniSingapore Exchange10,000JPY
YYTASX 3-Year Treasury BondASX10,000AUD
YXTASX 10-Year Treasury BondASX10,000AUD
YIRASX 90-Day Bank BillsASX2,500AUD

Appendix BWorked Examples

B.1Trend Estimator — 20-day computation on a single asset

This example illustrates the computation of equations (2.1) through (2.5) for a single market $m$ over 20 consecutive Index Business Days. For illustration we use synthetic log-returns drawn from a stationary distribution with mean 0% and annualised volatility set at the per-asset target volatility (value [NDA] — see Appendix C).

Table B.1 — Worked trend signal (stylised, first 20 days)
Day tPtDt σtRt Lτ(t)st tanh(st)
1100.00 0.0126
5101.15+0.0060 0.0124+0.484+0.042 +0.450+0.422
10102.40+0.0039 0.0123+0.317+0.058 +0.622+0.552
15103.05+0.0021 0.0121+0.174+0.064 +0.686+0.595
20103.40+0.0011 0.0120+0.092+0.068 +0.729+0.622

The table illustrates how the bounded signal converges towards an equilibrium value of approximately $+0.62$ as the asset traverses a sustained but modest uptrend. The equilibrium is the value at which the exponentially-decayed contribution of recent-positive returns to $L_\tau(t)$ balances out under a constant underlying drift.

B.2Volatility-targeted position sizing

Consider a market with an estimated annualised volatility $\sigma^{(m)}_t = 24\%$ on day $t$, a bounded signal $\tilde{s}^{(m)}_t = 0.80$, and an annual target gross notional $N^{(m),\,\star}_y = \$100$M. Applying equation (2.9):

$$N^{(m)}_t \;=\; \frac{(0.01/\sqrt{\tau}) \cdot \sqrt{\tau}}{0.24}\;\cdot\; 0.80\;\cdot\; \$100\mathrm{M}, \qquad \text{(numerical value computable under NDA)}$$ (B.1)

The resulting position scales upward with signal strength and downward with realised volatility relative to the per-asset volatility target. The exact percentage of target annual gross notional depends on the calibrated values of $\tau$ and $\sigma_{\mathrm{target}}$ disclosed under NDA.

B.3Futures roll through a Market Disruption Event

Consider a futures market $m$ whose primary-trigger open-interest cross-over occurs on day $t$ such that the roll is scheduled for day $t+1$. On day $t+1$, however, the deferred contract is subject to a limit-price event (an MDE per §3.6(b)). The Index Administrator applies the following sequence:

  1. On day $t+1$, the roll is deferred. The front-month position is preserved; both the front-month and deferred settlement prices are marked at the prior-day settlement for Index-level computation;
  2. On day $t+2$, the MDE is no longer in effect. The roll is executed at the day-$t+2$ settlement prices of both the front-month and deferred contracts;
  3. The day-$t+1$ Index level is re-calculated using the day-$t+2$ settlement prices as required by §3.6 and re-published per §6.5.

Appendix CFormula Summary

The following single-page reference consolidates the calibrated parameters and the equations referenced throughout this Methodology.

C.1Calibrated Parameters

Table C.1 — Index parameters as at Publication Date
SymbolMeaningValueSource
τTrend EWMA span[under NDA] §2.3.4
τσVolatility EWMA span[under NDA] §2.3.2
γVolatility scaling factor[under NDA] §2.3.2
σtargetPer-asset volatility target (annualised) [under NDA]§2.4
λPosition scaling parameter 0.01/√τ [under NDA]§2.6.1
αCascading execution speed[under NDA] §2.6.2
wsectorPer-sector risk budget25% §2.5.2
Open-interest cap20% §2.5.4
Volume cap100% §2.5.4
COT variation cap (2-year)70% §2.5.4
Management fee2.00 % p.a. §3.2
Performance fee20.00 % §3.2
HWM crystallisationQuarterly §3.2
T-Bill margin haircut25% §3.3

C.2Core Equations

$$\begin{aligned} D^{(m)}_t &= \ln(P^{(m)}_t / P^{(m)}_{t-1}) &(2.1) \\[0.5em] \sigma^{(m)}_t &= \gamma \cdot \mathrm{EWMStd}(D^{(m)}_{t}; \mathrm{span}=\tau_\sigma) &(2.2) \\[0.5em] R^{(m)}_t &= D^{(m)}_t / \sigma^{(m)}_{t-1} &(2.3) \\[0.5em] s^{(m)}_t &= \sqrt{\tau}\cdot \mathrm{EWM}(R^{(m)}_t; \mathrm{span}=\tau) &(2.4) \\[0.5em] \tilde{s}^{(m)}_t &= \tanh(s^{(m)}_t) &(2.5) \\[0.5em] b^{(m)}_t &= \alpha\,\tilde{s}^{(m)}_t + (1-\alpha)\,b^{(m)}_{t-1} &(2.11) \\[0.5em] N^{(m)}_t &= (\lambda\sqrt{\tau}/\sigma^{(m)}_t)\cdot b^{(m)}_t\cdot N^{(m),\star}_y &(2.9) \end{aligned}$$

Appendix DIndex Information

Table D.1 — Published Index variants
VariantTickerInception Level Inception DateLaunch DateBase Currency
Enhanced Index Gross ReturnINC1FGR100.0000 31-Dec-199901-Jan-2025USD
Enhanced Index Net ReturnINC1FNR100.0000 31-Dec-199901-Jan-2025USD
Enhanced Index Positioning SignalINC1FPS0.0000 31-Dec-199901-Jan-2025Dimensionless (−1, +1)

All variants are published on each Index Business Day at approximately 18:00 UTC via the Index Administrator's research platform and Data Query API.

Appendix EBacktest Caveats Registry

The following registry documents specific adjustments, proxies and data limitations applicable to the back-tested Index levels prior to the Launch Date.

Table E.1 — Back-test caveats by market / period
MarketPeriodCaveat / adjustment
VX (CBOE VIX)1999 – 2004 VIX futures contract launched 2004; market excluded prior to 26-Mar-2004.
EUA1999 – 2005 EU ETS launched 2005; market excluded prior to 22-Apr-2005.
CNHUSD1999 – 2010 CNH offshore market established 2010; spot-forward proxy used from Aug-2010 onward.
Chinese commodity exchange contractsPrior to listing DCE/ZCE/SHFE contracts excluded prior to individual contract launch; reallocated to sector peers.
All1999 – 2004 Minimum 500-day history requirement (§2.3.2) restricts early universe to approximately 55 markets.
All — trading costsAll pre-launch Sector cost coefficients of Table 3.2 applied uniformly; no reconstruction of historical bid-ask spreads.

Appendix FChanges to this Document

Table F.1 — Version history
VersionDateScope of change
1.016 April 2026 Initial publication of the Inception Systematic Trend Index Enhanced Methodology. Supersedes all prior summary methodology overviews. Consolidates all rules, parameter calibrations, governance procedures, definitions and regulatory disclosures in a single document.

Appendix GBenchmark Cross-Reference

This appendix discloses the implementation choices made by the Index Administrator when reproducing the three reference comparison models of §4.3 — AQR Time-Series Momentum, GS Futures Trend Beta and CFM DAO Convexity — and identifies, for each model, the points at which the Inception reproduction diverges from the original published implementation. It is published in this document (rather than upon request) so that any sophisticated reader may audit the comparison set without further enquiry.

The three reproductions share a number of design choices that follow from being embedded in the Inception calculation pipeline rather than being run as standalone academic backtests:

Within those shared conventions, the model-specific differences are set out in the table below. None of the comparison models is intended to be a perfect restatement of the reference paper; they are calibrated reproductions designed to provide a like-for-like positioning signal under the Inception data and costing conventions.

Table G.1 — Reproduction differences vs. published implementations
Reference model Source paper Original specification (key parameters) Inception reproduction (and difference)
AQR Time-Series Momentum (TSM) Moskowitz, Ooi & Pedersen (2012), Time series momentum, Journal of Financial Economics 104(2), 228–250. Sign of the trailing 12-month excess return; positions sized to a constant ex-ante annualised volatility target of 40% per contract; equally-weighted across 58 futures and currency forwards; monthly rebalance; gross of fees. Sign rule preserved. Look-back window kept at 12 months. Volatility target replaced by the Inception ex-ante volatility scaling so all five models share a common risk axis. Universe expanded to the Inception 138 contracts; equal weighting replaced by the Inception sector-level aggregation. Rebalance frequency is daily, consistent with the Index. Effect: typical realised volatility lower than the original paper, slightly higher information ratio in commodities, lower in fixed income.
GS Futures Trend Beta (FTB) Goldman Sachs Asset Management research notes (Eichhorn 2018, public versions). Reproduction follows the disclosed multi-window EMA crossover specification. Position is a sign-and-magnitude function of three EMA crossovers (short, medium, long) of price; multi-horizon signal averaged with declining weights; vol-targeted at the strategy level. EMA half-lives kept at the published values. The published horizon weights (0.5 / 0.3 / 0.2) are preserved. Strategy-level vol target replaced by per-contract Inception ex-ante volatility scaling; positions then aggregated at sector level under the Index conventions. Effect: cross-sectional dispersion of the signal is closer to the Inception Systematic Trend Index Enhanced than to the original GS series, particularly in equity indices.
CFM DAO Convexity (DAO) Dao, Nguyen, Deremble, Lempérière, Bouchaud & Potters (2016), Tail protection for long investors: Trend convexity at work, arXiv:1607.02410. Continuous trend indicator built as an exponentially-weighted moving average of past returns scaled by ex-ante realised volatility; position is a smooth (sigmoid) transformation of the indicator that adjusts size with market conditions. EMA decay parameter kept at the published value. Sigmoid transform preserved. Volatility normaliser replaced by the Inception ex-ante volatility estimator for consistency with TSM and FTB above. Universe expanded to the Inception 138 contracts. Effect: unchanged convexity profile in commodities; slightly attenuated in FX where the original paper relies on a smaller liquid pair set.

The Index Administrator does not represent that any of these reproductions matches the live performance of the corresponding manager or research desk. Each reference series is provided for cross-model interpretability only and should not be construed as a benchmark of, nor as an investable surrogate for, the original strategy.

Table G.2 — Live data sources used in the reproductions
ItemSourceFrequency
Continuous futures pricesInception back-adjusted continuous series (see Appendix A)Daily
FX spot & forwardInception consolidated FX feedDaily
Volatility estimatesInception ex-ante volatility model (§2)Daily
Reference returns (SG CTA)SG Prime Services public daily seriesDaily
Positioning data (CFTC COT)CFTC Disaggregated Commitments of Traders, Tuesday positions released FridayWeekly

Where the reproduction of a reference model would require a non-public data input not held by Inception Technology, the model is omitted from the comparison set rather than approximated. No proprietary signals from any third-party manager are used in any of the reproductions.