Investors seeking equity exposure to the cryptocurrency ecosystem often compare specialized thematic ETFs such as FDIG and STCE. These funds do not compete directly with broad-market or traditional sector ETFs but instead offer alternative strategies targeting similar investor goals: gaining indirect access to blockchain innovation, digital payments, and crypto-related business activities through publicly listed companies. Their relevance stems from ongoing interest in digital assets amid evolving regulatory frameworks and technological adoption.
The FDIG is a passively managed ETF that seeks to track the performance of the Fidelity Crypto Industry and Digital Payments Index. The index focuses on global companies engaged in cryptocurrency activities, related blockchain technology, and digital payments processing. The fund typically holds around 60 equity securities and maintains a non-diversified structure. Top holdings commonly include Coinbase Global (COIN), along with cryptocurrency mining firms such as IREN and HUT. Sector allocations concentrate in financial services and technology. The expense ratio stands at 0.39%. Distinguishing features include its emphasis on both crypto infrastructure and digital payments segments within a single benchmark.
The STCE is a passively managed ETF designed to track the Schwab Crypto Thematic Index before fees and expenses. The index provides global exposure to companies that may benefit from cryptocurrency development or utilization, including mining, staking, trading, and blockchain applications. The fund generally holds approximately 40 securities. Top holdings frequently feature firms such as Bitdeer Technologies, Hut 8 Corp, and HIVE Digital Technologies. Allocations lean heavily toward technology and financial services sectors. The expense ratio is 0.30%. Key characteristics include its lower cost structure and focused approach to firms positioned across the broader crypto value chain.
The crypto equity sector remains influenced by macroeconomic factors including interest rate expectations, regulatory clarity on digital assets, and institutional adoption trends. Capital flows into blockchain technology and cryptocurrency mining continue amid ongoing innovation in decentralized finance and payment solutions. Potential catalysts encompass favorable policy developments and technological advancements in distributed ledger systems, while risks include heightened regulatory scrutiny, energy cost fluctuations affecting miners, and correlation with broader equity market sentiment during risk-off periods.
In recent market cycles, both ETFs have demonstrated sensitivity to cryptocurrency price movements and sector rotation dynamics, with performance tied to earnings from major exchanges and mining operations. STCE has historically shown slightly higher concentration-driven volatility due to its smaller number of holdings, while FDIG offers marginally broader exposure that may moderate extreme swings in certain periods. Relative positioning reflects differences in index methodologies, with each fund capturing distinct nuances of the crypto ecosystem during shifts in digital asset sentiment or macroeconomic conditions.
Tickeron’s AI Screener is an AI-powered stock and ETF discovery tool that helps traders and investors filter the market based on technical patterns, fundamentals, trends, volatility, and AI-driven signals. Users can scan thousands of stocks and ETFs using customizable filters such as industry, market capitalization, technical indicators, price patterns, and performance metrics. The screener helps identify trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening. Explore the AI Screener for data-driven insights.
Based on observable factors including lower expense ratio, thematic breadth, and structural efficiency, Tickeron’s AI would currently assign a modest probabilistic preference to STCE for investors prioritizing cost efficiency within the crypto equity space, while recognizing that individual objectives and risk tolerance ultimately determine suitability.
The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.
| FDIG | STCE | FDIG / STCE | |
| Gain YTD | 19.153 | 31.504 | 61% |
| Net Assets | 277M | 292M | 95% |
| Total Expense Ratio | 0.39 | 0.30 | 130% |
| Turnover | 79.00 | 60.00 | 132% |
| Yield | 0.99 | 1.46 | 68% |
| Fund Existence | 4 years | 4 years | - |
| FDIG | STCE | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 90% | 4 days ago 89% |
| Stochastic ODDS (%) | 1 day ago 90% | 4 days ago 88% |
| Momentum ODDS (%) | 1 day ago 90% | 4 days ago 87% |
| MACD ODDS (%) | 1 day ago 90% | 4 days ago 90% |
| TrendWeek ODDS (%) | 1 day ago 90% | 4 days ago 90% |
| TrendMonth ODDS (%) | 1 day ago 90% | 4 days ago 90% |
| Advances ODDS (%) | 1 day ago 90% | 4 days ago 90% |
| Declines ODDS (%) | 6 days ago 90% | 6 days ago 89% |
| BollingerBands ODDS (%) | N/A | 4 days ago 82% |
| Aroon ODDS (%) | 1 day ago 90% | 4 days ago 90% |
A.I.dvisor indicates that over the last year, FDIG has been closely correlated with CLSK. These tickers have moved in lockstep 84% of the time. This A.I.-generated data suggests there is a high statistical probability that if FDIG jumps, then CLSK could also see price increases.
| Ticker / NAME | Correlation To FDIG | 1D Price Change % | ||
|---|---|---|---|---|
| FDIG | 100% | +3.79% | ||
| CLSK - FDIG | 84% Closely correlated | +4.00% | ||
| RIOT - FDIG | 84% Closely correlated | +2.86% | ||
| HUT - FDIG | 83% Closely correlated | +1.11% | ||
| CIFR - FDIG | 80% Closely correlated | +6.29% | ||
| MARA - FDIG | 80% Closely correlated | +3.98% | ||
More | ||||
A.I.dvisor indicates that over the last year, STCE has been closely correlated with CLSK. These tickers have moved in lockstep 86% of the time. This A.I.-generated data suggests there is a high statistical probability that if STCE jumps, then CLSK could also see price increases.
| Ticker / NAME | Correlation To STCE | 1D Price Change % | ||
|---|---|---|---|---|
| STCE | 100% | +3.91% | ||
| CLSK - STCE | 86% Closely correlated | +4.00% | ||
| RIOT - STCE | 84% Closely correlated | +2.86% | ||
| HUT - STCE | 84% Closely correlated | +1.11% | ||
| CIFR - STCE | 84% Closely correlated | +6.29% | ||
| MARA - STCE | 81% Closely correlated | +3.98% | ||
More | ||||