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Century Financial Consultancy

Portfolio Mix

Click on the dial to see the conservative, moderate & aggressive portfolio strategies.

Asset Allocation
10%
Equities
10%
Indices
10%
Forex
20%
Commodities
50%
Bonds
Note: This is for illustrative purposes only and there is no obligation to accept the asset allocation provided by this tool. The Portfolio Mix is neither investment advice nor a suggestion on asset allocation to be adopted by the investors.
Instruments
Description
Trend
Trading Range
equites
Johnson & Johnson
Trend
Range $235 - $280
Johnson & Johnson is a high quality healthcare company with strong long-term growth potential. In Q1 2026, the company delivered 9.9% revenue growth to $24.1 billion and increased its full year outlook to $100.8 billion in sales and $11.55 adjusted EPS, reflecting confidence in its business. Unlike many competitors, J&J is staying out of the obesity drug market and instead focusing on higher-growth areas such as oncology and neuroscience. Management aims to make J&J the world's leading cancer company by 2030, supported by new drug approvals and strategic acquisitions. In MedTech, the upcoming OTTAVA robotic surgery platform targets a 40 million procedure market, with management expecting robotics to become a meaningful growth driver from 2028. Strong execution, innovation, and a diversified business position J&J to deliver an increase in shareholder value.
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indeces
Swiss Market Index
Trend
Range CHF 13,473 -
CHF 14,892
The Swiss Market Index (SMI) is highly concentrated in defensive sectors, with Healthcare accounting for roughly 35–40% of the index, followed by Consumer Staples at around 20–25%, and Financials at approximately 15–20%. The remainder is spread across Industrials, Consumer Discretionary, and other smaller sectors, giving the index a distinctly defensive profile compared with more technology-heavy global benchmarks. At the company level, the SMI is dominated by three global champions—Nestlé, Novartis, and Roche—which together represent well over half of the index’s weight. This concentration provides investors with exposure to high-quality, cash-generative businesses with strong global market positions, underpinning the SMI’s reputation as a defensive and resilient equity market index.
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forex
USD/CAD
Trend
Range 1.4063 - 1.4350
From a technical stance, the currency pair is up after retesting its breakout at the 1.412-1.415 price mark. This is a major level that has historically acted as both support and resistance. From a fundamental perspective, the dollar rides bullish waves on a hawkish Fed. At the June FOMC meeting, the Fed took a hawkish hold. In its March projections, the Fed expected PCE Inflation at 2.7% for 2026 and 2.2% for 2027; in its latest projections, these have increased significantly to 3.3% and 2.5%, respectively. This has led markets to price 32bps of rate hikes this year, with a cumulative 42bps by this time next year, versus 19bps and 33bps, respectively, ahead of the release. Further support comes from the strong GDP reading. The Q1 QoQ GDP data clocked in at 2.1% versus the analyst expectation of 1.6%. This stronger-than-expected GDP reading is expected to strengthen the dollar.
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commodities
Gold
Trend
Range $3,540 - $4,420
Gold remains under pressure as a hawkish US Fed keeps real yields and the dollar higher. The 5-year real yield is at 1.90%, up 30 bps MoM, while the 10-year real yield is at 2.16%, up 13 bps MoM. This helped the US dollar break above major resistance in June, creating headwinds for gold. Total known ETF Holdings of Gold sit at 96.72 million troy ounces at the end of June, down from the 2026 peak of 101 million troy ounces. The macro environment for the precious metal seems to have shifted to a rates-driven regime, with markets already pricing in one rate hike and indicating a 22% chance of another hike by the end of the year. Technically, gold broke below its 50-week EMA in June, which is now a major resistance at $4,230. A failed retest of that level could signal renewed downside momentum, with the June lows acting as a key support area to monitor.
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bonds
iShares Core U.S.
Aggregate Bond
ETF (AGG)
Trend
Range $98.81 - $99.15
The iShares Core U.S. Aggregate Bond ETF (AGG) is a prominent fund that closely tracks the Bloomberg U.S. Aggregate Bond Index, offering a comprehensive snapshot of the U.S. investment-grade bond market. With a diversified portfolio of over 8,000 bonds, including government, corporate, mortgage-backed, and asset-backed securities, AGG provides extensive coverage of the U.S. bond market. The ETF is designed for cost effciency, boasting a low expense ratio of 0.03% — significantly below industry standards — and managing assets exceeding $135.21 billion. AGG has delivered one-year returns of 3.85%, with a 12-month dividend yield of 3.95%. This makes it an attractive option for investors seeking broad exposure to U.S. bonds at minimal cost, with the potential for income and capital appreciation. The ETF has an effective duration of 5.85, making it less sensitive to interest rate fluctuations.
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iShares iBoxx $
Investment
Grade Corporate
Bond ETF (LQD)
Trend
Range $108.82 - $109.32
The iShares iBoxx $ Investment Grade Corporate Bond ETF (LQD) seeks to track the performance of an index comprising U.S. dollar-denominated investment-grade corporate bonds. It provides investors with exposure to the high-quality segment of the corporate bond market, offering broad diversification across various sectors, maturities, and credit ratings. With a low expense ratio of 0.14% and strong liquidity, LQD is an attractive option for those seeking income and stability in the fixed-income space. The fund has delivered a 1-year return of 4.85%. The ETF has a 12-month dividend yield of 4.56%. It carries moderate interest rate risk and low credit risk, with the majority of its holdings rated A or higher by major credit rating agencies. LQD may be considered by investors seeking diversified exposure to the investment-grade corporate bond market, subject to their investment objectives and risk tolerance.
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iShares iBoxx
$ High Yield
Corporate
Bond ETF (HYG)
Trend
Range $79.50 - $80.01
The iShares iBoxx $ High Yield Corporate Bond ETF (HYG) is designed to mirror a broad index of U.S. dollar-denominated high-yield corporate bonds. Its primary goal is to offer investors access to the high-yield bond market's potentially high returns and diversification benefits. HYG holds over 1,000 bonds across various sectors and credit ratings, with substantial allocations in the 3-5-year and 5-7-year maturity ranges. The fund has posted a 1-year return of 7.48%. It also features an attractive 12-month dividend yield of 5.82% and a low expense ratio of 0.49%, making it particularly appealing to income-focused investors. While HYG carries a moderate risk profile — characterised by higher credit risk and the volatility typical of high-yield bonds — it offers the potential for enhanced returns. Additionally, its lower correlation with other fixed-income and equity markets can improve the overall risk-return balance, making HYG a compelling option for those seeking a well-rounded and diversified portfolio.
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Vanguard
Short-Term
Corporate Bond
Index
Trend
Range $78.66 - $78.81
The Vanguard Short-Term Corporate Bond Index (VCSH) is a mutual fund that focuses on high-quality corporate bonds with maturities of 1 to 5 years. Its primary goal is to provide investors with a stable and moderate level of current income while minimising exposure to interest rate risk. The fund closely tracks the Bloomberg U.S. 1-5 Year Corporate Bond Index, which reflects the performance of U.S. dollar-denominated, investment-grade, fixed-rate bonds issued by companies in the industrial, utility, and financial sectors. With a remarkably low expense ratio of 0.03%, far below the industry average, VCSH has consistently outperformed its benchmark. The fund has delivered one-year returns of 4.54% and a 12-month dividend yield of 4.42%. It is well-diversified across various sectors, including financials, consumer non-cyclical, communications, and technology. VCSH is an excellent choice for investors seeking income generation while prioritising risk management and liquidity in their portfolios.
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Data Source: Bloomberg
Date: 2nd July, 2026

Arun Leslie John
Chief Market Analyst

Deepa Sachanandani
Deputy Head - Research

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The product and investment ideas do not consider the risk profile and financial position of the recipient and may not be suitable for everyone.
Trading in financial markets involves a significant risk of loss, which can exceed deposits. Please read the complete disclaimer carefully.
DISCLAIMER: Century Financial Consultancy LLC (“CFC”) is Limited Liability Company incorporated under the Laws of UAE and is duly licensed and regulated by the Emirates Securities and Commodities Authority of UAE (SCA). This information is for illustrative proposes only and must not be construed to be an advice to invest or otherwise in any investment or financial product. CFC does not guarantee as to adequacy, accuracy, completeness or reliability of any information or data contained herein and under no circumstances whatsoever none of such information or data be construed as an advice or trading strategy or recommendation to deal (Buy/Sell) in any investment or financial product. CFC is not responsible or liable for any result, gain or loss, based on this information, in whole or in part. Please refer to the disclaimer section of the website for full disclosure of the terms and conditions.
Risks & Assumptions
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The strategy might suffer from look-ahead bias which occurs due to use of information or data in a study or simulation that would not have been known or available during the period being analyzed. This can lead to inaccurate results in the study or simulation.
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Future price movements may not be exactly the same as the historical price movements and this could lead to variation in performance.
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Testing can sometimes lead to over-optimization. This is a condition where performance results are tuned so high to the past they are no longer as accurate in the future.
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The model assumes no slippages in trading. Slippage refers to the difference between the expected price of a trade and the price at which the trade is actually executed.
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Drawdowns in actual trading can be higher than the tested system and loses could significant in the event of leverage.
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Unforeseen events can lead to variation in performance from the tested trading strategy.
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The tested result has been computed with price feeds available from Bloomberg.
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The testing environment has not considered transaction or any other costs.
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Trading indicators used for the purpose of testing has been provided by Bloomberg.
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The strategy might suffer from data mining fallacy, selection bias and backfill bias.