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ProShares Long Online/Short Stores ETF(CLIX)
Advisory History & Simulated Performance *
*as per simulation (see disclosures)- ALL
- 1Y
- 1M
- 1W
- BUY Advisory
- SELL Advisory (Profit)
- SELL Advisory (Loss)
- Profit
- Loss
- PASS (Skip)
Advisory Performance History (Simulated)
Upturn Advisory & Investor View for CLIX
10/08/2026: CLIX (1-star) is currently NOT-A-BUY. Pass it for now.
The ProShares Long Online/Short Stores ETF (CLIX) is a thematic product that provides investors with a long position in online retail and a short position in traditional physical retail. By design, the fund aims to benefit from the divergence between these two business models rather than just overall sector growth. Its main strengths include the convenience of a single vehicle for a complex hedge and its specialized thematic focus. However, investors must monitor the 'omnichannel' transition of legacy retailers, which could undermine the strategy, and be aware of higher expense ratios and lower liquidity compared to broader retail ETFs. It is best suited for tactical, sophisticated investors looking for a specific directional view on the retail industry.
How to Read the Upturn Advisory
The Upturn Star Rating and the current BUY, SELL, or PASS advisory are generated by Upturn’s AI advisory engine based on proprietary signal analysis, price behavior, advisory history, and historical signal performance.
ETF holdings, costs, diversification, valuation, risks, and market conditions provide supporting context about the fund.
Investor Fit
| Investor style | Fit | Why |
|---|---|---|
| Growth investor | Strong fit | The long portion of the portfolio captures high-growth leaders in the e-commerce sector. |
| Momentum investor | Strong fit while signal remains positive | This fund is well-suited for investors attempting to capture the momentum of the digital retail transition relative to legacy retail. |
| Value investor | Weak fit | The fund's focus on high-growth, high-multiple tech-retailers often conflicts with traditional value-based valuation metrics. |
| Dividend/Income investor | Weak fit | The fund does not focus on income generation and may incur costs associated with shorting stocks that reduce potential returns. |
| Low-risk investor | Weak fit | The use of short exposure and concentration in thematic retail makes this a high-volatility instrument unsuitable for low-risk portfolios. |
Investor Profile
Ideal Investor Profile
Sophisticated or tactical investors who have a strong conviction regarding the long-term decline of physical retail relative to e-commerce growth.
Suitability
Best suited for tactical investors who understand the risks of short-exposure and are looking for a specific thematic hedge.
Risk Profile
| Risk factor | Level | Why it matters |
|---|---|---|
| Volatility | High | The dual-exposure strategy significantly amplifies the impact of daily price fluctuations. |
| Market risk | High | Broad market downturns can negatively impact the long positions while rising retail sentiment could hurt the short leg. |
| Concentration | Medium / high | The fund is heavily concentrated in the specific sub-industry of retail, lacking broader sector diversification. |
| Tracking/expense | Medium | Costs associated with borrowing securities for short positions can drag on performance. |
| Liquidity | Medium | Lower average volume can make entering or exiting large positions more expensive during periods of market stress. |
| Business/sector quality | Medium | The fund relies on the ongoing, binary divide between online and physical retail business models. |
Risk Analysis
Volatility
CLIX exhibits higher-than-average volatility due to the leveraged-like nature of its long/short strategy.
Market Risk
Risks include adverse price movements in the retail sector and the specific risk that physical retail outperforms online retail.
What the ETF Owns
| Exposure Type | Exposure | Weight (%) | Retail Investor Read |
|---|---|---|---|
| Sector | Long Online Retailers (e.g., Amazon, Shopify, Wayfair) | 100 | This component captures growth from companies that generate the vast majority of their revenue through e-commerce channels. |
| Derivatives | Short Brick-and-Mortar Retailers (Inverse exposure via swaps) | -50 | The short component is designed to hedge or benefit from the relative underperformance of traditional physical store-based retailers. |
| Cash/collateral | Cash and Cash Equivalents | 50 | Cash balances are maintained to manage margin requirements and collateral for the short derivative positions. |
Price Behavior

Rolling Over
The price momentum is slowing down and beginning to turn downward.

Smooth
The stock has moved along a generally orderly path with only modest fluctuations.
Analysis of Past Performance
Type ETF | Historic Profit 1.05% | Avg. Invested days 41 | Today’s Advisory PASS |
Upturn Advisory Rating ![]() | Upturn Advisory Performance | ETF Returns Performance |
ETF Fundamentals 
Source: EOD Historical Data • Updated Oct 8, 2026
Fund Basics
| Metric | Value |
|---|---|
| Fund Size (AUM) | $5.90M |
| Issuer | ProShares |
| Expense Ratio | 0.65% |
| Distribution Yield | 0.5% |
| Inception | Nov 14, 2017 |
Performance
| Period | Total Return |
|---|---|
| YTD | -7.03% |
| 1 Year | -8.05% |
| 3 Year | +17.34% |
| 5 Year | -3.63% |
| 10 Year | +0.00% |
Risk Metrics
| Metric | Value |
|---|---|
| 1Y Volatility | 18.98% |
| 3Y Volatility | 19.45% |
| 3Y Sharpe Ratio | 0.7 |
Market Cap Distribution
| Cap Size | Weight |
|---|---|
| Mega Cap | 32.64% |
| Micro Cap | 17.81% |
| Mid Cap | 16.64% |
| Small Cap | 9.81% |
Top Sectors
| Sector | Weight |
|---|---|
| Consumer Cyclicals | 96.99% |
| Technology | 3.01% |
| Basic Materials | 0.00% |
| Financial Services | 0.00% |
Asset Allocation
Portfolio Characteristics
| Metric | Value |
|---|---|
| Portfolio P/E | 20.23x |
| Portfolio P/B | 3.49x |
| Portfolio P/S | 1.27x |
| Holdings Turnover | 1.07% |
Top Holdings
| Holding | Weight |
|---|---|
| Amazon | 20.30% |
| Alibaba Group Holding | 7.17% |
| eBay | 6.51% |
| Carvana | 3.88% |
| PDD Holdings | 3.75% |
Upturn AI Summary
AI Summarization is directionally correct and might not be accurate.
Summarized information shown could be a few years old and not current.
Fundamental Rating based on AI could be based on old data.
AI-generated summaries may have inaccuracies (hallucinations). Please verify the information before taking action.

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