THOR NextGen Stock

Model Portfolio Factsheet

As of January 31, 2026

Strategy
Domestic Equity
Benchmark
ARK Innovation ETF (ARKK)
Inception
February 2005
Management Fee
0.20%

Strategy Overview

The THOR NextGen Stock model portfolio is THOR's flagship strategy, providing systematic exposure to S&P 500 sectors using an equal-weight approach with proprietary risk management. The portfolio trades sector-based ETFs representing the major sectors of the S&P 500.

THOR's proprietary technology continuously evaluates each sector's risk profile independently. When individual sectors rotate toward risk-off conditions, the model systematically de-risks — overweighting the strongest performing sectors and moving weaker positions to short-duration treasuries.

Growth of $10,000

Hypothetical growth of a $10,000 investment from February 2005 through January 31, 2026. Net of 0.20% management fee.

Performance Summary

Returns for periods greater than one year are annualized. Net of 0.20% management fee.

PeriodTHOR NextGen Stock (Net)ARK Innovation ETF
MTD+0.28%-2.67%
QTD+0.28%-2.67%
YTD+0.28%-2.67%
1 Year+30.15%+19.09%
3 Year (Ann.)+33.47%+23.31%
5 Year (Ann.)+4.13%-11.29%
Since Inception (Ann.)+24.49%+7.28%

Calendar Year Returns

YearTHOR NextGen Stock (Net)ARK Innovation ETF
2020+206.66%+152.82%
2021-11.33%-23.38%
2022-52.00%-66.97%
2023+66.64%+67.64%
2024+27.86%+8.40%
2025+35.95%+35.49%

Monthly Returns

THOR NextGen Stock (Net) monthly returns. Net of 0.20% management fee.

YearJanFebMarAprMayJunJulAugSepOctNovDecFull Year
202016.51%2.36%-6.20%33.35%9.61%26.76%8.87%12.51%1.42%4.01%11.56%2.66%206.66%
20210.98%-6.62%-0.02%1.09%-2.65%21.63%-13.94%-0.20%-6.08%4.53%3.71%-10.13%-11.33%
2022-5.33%-0.02%-3.54%-5.06%-6.98%-14.00%-0.02%-10.41%-3.08%-5.09%-3.30%-13.15%-52.00%
202322.15%9.52%3.91%-0.04%8.32%3.40%5.76%-17.01%0.37%0.41%11.31%8.75%66.64%
2024-2.96%15.99%1.36%0.41%0.43%-7.76%12.13%0.44%0.40%0.37%15.38%-7.97%27.86%
20254.75%-8.72%-10.69%2.93%13.41%10.42%9.31%8.22%13.22%3.21%-10.93%0.32%35.95%
2026 YTD0.28%0.28%

Growth of $10,000

Hypothetical growth of a $10,000 investment from February 2005 through January 31, 2026.

THOR NextGen Stock (Net)
$37,906
+279.06% total return
ARK Innovation ETF
$15,332
+53.32% total return

Risk Statistics

Calculated from monthly returns, February 2005 – January 2026. Sharpe ratio assumes a 2.00% risk-free rate.

MetricTHOR NextGen Stock (Net)ARK Innovation ETF
Annualized Return+24.49%+7.28%
Annualized Std Dev33.48%43.61%
Sharpe Ratio0.670.12
Max Drawdown-62.29%-77.08%
Best Month+33.35%+31.44%
Worst Month-17.01%-28.90%
% Positive Months61.6%47.9%

Key Features

Broad Sector Exposure

Full coverage across S&P 500 sectors with equal weighting eliminates concentration risk.

Adaptive De-Risking

Proprietary signals independently evaluate each sector for risk-on/risk-off conditions.

100% Cash Capability

Can move entirely to short-duration treasuries when systemic risk is elevated.

0.20% Management Fee

Low, transparent fee structure. All performance shown is net of the annual management fee.

IMPORTANT DISCLOSURES ON HYPOTHETICAL PERFORMANCE DATA

Performance information for the strategy is back-tested and hypothetical, and does not reflect the returns of any actual investment portfolio. Past performance is no indication of future performance. This material is prepared by THOR Analytics, LLC (“THOR”) for informational purposes only. It is not intended to serve as a substitute for personalized investment or as a recommendation or solicitation for any particular security, strategy or investment product. The performance results provided herein represent the hypothetical back-test of the criteria of the strategy, do not reflect actual trading by THOR and do not represent the actual performance achieved by any THOR client. THOR has no client accounts for which it trades the strategy.

Relevance of the Hypothetical Performance Data to Recipient's Investment Objective

You are receiving this material as the adviser or provider has made a reasonable determination — through the implementation of certain policies and procedures, and based on available information — that the hypothetical performance data contained herein is relevant to your financial situation and investment objectives.

Criteria Used and Assumptions Made for the Hypothetical Performance

It is assumed that the securities used in the hypothetical back-tested results were available for purchase or sale during the time period presented and the markets were sufficiently liquid to permit the types of trading used. In addition, back-testing assumes purchase and sale prices believed to be attainable. Trades for the hypothetical returns were not actually executed. In actual trading, the prices attained may or may not be the same as the assumed order prices due to differences in the time the trades were executed and other factors. The results do not represent the impact that material economic and market factors might have on an investment adviser's decision-making process if the adviser were managing client money. Accordingly, the results may have over or under compensated for the impact, if any, of certain market factors such as lack of liquidity, money flow and other factors. Back-tested hypothetical returns are dependent on the market and economic conditions that existed during the period. Future market or economic conditions can adversely affect the returns. The hypothetical back-tested characteristics related to positions, position sizes and sector weights might differ materially from actual client portfolios.

Assumptions on Advisory Fees

The hypothetical performance results likewise reflect the deduction of an investment platform and manager fee of 0.55%. Advisory fees, however, may vary among clients invested in this strategy. Actual performance results will be reduced by fees including, but not limited to, investment management fees and other costs such as custodial, reporting, evaluation services, other expenses and a possible distribution fee. Actual advisory fees and expenses paid may be higher or lower than model advisory fees. The investment management fee paid to THOR Financial Technologies is separate and distinct from the internal fees and expenses charged by the respective funds. Prospective clients should consider all of these fees and charges when deciding whether to invest in the program. Performance results for this program do not reflect the impact of taxes. Select programs may engage in a significant amount of trading. Gains or losses will generally be short-term in nature; consequently, such programs will likely not be suitable for clients seeking tax efficiency. THOR Financial Technologies does not provide tax or legal advice. Moreover, the hypothetical performance does not include custodial, taxes or other fees that may be incurred by an investor. The hypothetical performance results represent the price return of the investments in the hypothetical portfolios. In order to provide more accurate prices that reflect the performance of the underlying assets of mutual funds and exchange-traded funds (“ETFs”) closing prices of mutual funds and ETFs are adjusted to correct for any capital gains, dividends, and/or splits. Hypothetical returns reflecting the use of ETFs are calculated based on the ETFs' sole end-of-day price.

The S&P 500 as a Benchmark

The S&P 500 index is widely regarded as the best single gauge of large-cap U.S. equities. The index includes 500 companies and covers approximately 80% of available market capitalization. The index results display the total return and assume the reinvestment of all dividends and interest. Investors cannot invest directly in the index and the index returns do not reflect any fees, expenses, or sales charges. The S&P 500 is shown for general market comparison purposes and does not represent the strategy. Past performance is not indicative of future results. Any information and data pertaining to an index contained in this document relate only to the index itself and not to any asset management product based on the index.

Risks and Limitations of Hypothetical Performance Data

Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading, but are based on the historical returns of the selected investments, indices or investment classes and various assumptions of past and future events. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. Also, since the trades have not actually been executed, the results may have under or overcompensated for the impact of certain market factors. In addition, hypothetical trading does not involve financial risk. No hypothetical trading record can completely account for the impact of financial risk in actual trading. For example, the ability to withstand losses or to adhere to a particular trading program in spite of the trading losses are material factors which can adversely affect the actual trading results. There are numerous other factors related to the economy or markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical performance results, all of which can adversely affect trading results.

The following are specific limitations of hypothetical, back-tested performance as presented in the Model: (a) the Model results do not reflect the results of actual trading using investor assets, but were achieved by means of the retroactive application of each of the referenced underlying Models, which may have been chosen with the benefit of hindsight; (b) back tested performance may not reflect the impact that any material market or economic factors might have had on an adviser's use of the hypothetical Model if the Model had been used during the period to actually manage investor assets; (c) such performance does not reflect the adviser's decision making process if the adviser were actually managing a client's portfolio, which may include sentiment and/or emotional influences by market and/or economic events; (d) back tested performance does not reflect actual client asset trading and cannot accurately account for trading costs and the ability to withstand losses and, (e) for various reasons including variances in Model account holdings, variances in the investment management fee incurred, market fluctuation, the date on which a client engages the adviser's investment management services, and any account contributions or withdrawals, the performance of a specific adviser's managed account may experience investment results that are materially different from those reflected by the respective Model.

Routine maintenance of the strategy — which includes updates to the strategy settings, fund substitutions, and the incorporation of recent market data into computational back-tests, among other adjustments — is performed at regular intervals. Hypothetical back-tested performance also differs from actual performance because, as noted, it is achieved through the retroactive application of screening designed with the benefit of hindsight. As a result, the screening process theoretically can continue to be changed until desired or better performance results are achieved. Further, back-tested screening performance does not represent the impact of technical factors, such as: 1) changes in signals as a result of changes in market data that occur after the cutoff time for trading and 2) the inability to execute trades when desired. In addition, performance results for clients that invest in the strategy will vary from the back-tested screening performance due to, for example, investment cash flows, frequency and precision of rebalancing and tax-management strategies.

Additional Disclosures

All information and data are generally based on information and data from third party sources. Neither the adviser nor any of its affiliates, officers, owners, employees, investment advisory representatives, licensors or contractors (“Non-Liable Parties” or “NLPs”) shall be liable for any error, omission, inaccuracy, or incompleteness in the material provided herein or any data related thereto, and any use of this material is conditioned upon a user's total release of such NLPs. No further distribution of this material is permitted without the adviser's express written consent, and no NLP is responsible for updating this information at any time since this information is exclusively used for educational and informational purposes. The services are not intended and should not be construed as financial or investment advice, a recommendation or promotion. Neither ETF Action nor its licensors shall be responsible for investment decisions, damages, or other losses resulting from use of the services. Past performance does not guarantee future performance. Neither ETF Action nor its licensors shall be considered an “expert” under the securities act of 1933. Neither ETF Action nor its licensors warrant that the services comply with the requirements of the NASD or any similar organization or with the securities laws of any jurisdiction. Any information contained in the services should not be acted upon without obtaining specific legal, tax, and investment advice from a licensed professional. Distribution prohibited without prior permission. Full terms of service, including terms of use, copyrights, and disclaimers are available at https://www.etfaction.com/terms. © Copyright ETF Action, Inc. All Rights Reserved.

Data Reliability and Definitions

ETF Action, LLC believes the information herein to be accurate (at time of publication) and was obtained from reliable sources, but makes no guarantees with respect to its accuracy. Calculations of fundamental data are based on weighted averages of reported results and consensus estimates of current ETF constituents. Valuation data (price/earnings, price/sales, price/cash flow, price/book value) are calculated using per share data divided by current NAV of corresponding ETF. Performance, risk and technical data (moving averages, relative performance, RSI) calculated for specified periods using ETF market price which may differ from net asset value (NAV). Fixed income fundamental data provided directly by FactSet and updated monthly. The Global Industry Classification Standard (GICS®) was developed by and/or is the exclusive property of MSCI, Inc. and S&P Global Market Intelligence Inc. GICS is a service mark of MSCI and S&P Global Market Intelligence and has been licensed for use by ETF Action. Source Data: FactSet Research Systems Inc.

For complete disclosures, please visit thorft.com/disclosures.