The cryptocurrency and blockchain sectors continue to attract significant investor interest amid evolving regulatory landscapes, technological advancements, and institutional adoption. Fidelity Crypto Industry and Digital Payments ETF (FDIG) and iShares Blockchain and Tech ETF (IBLC) represent two distinct passive approaches to this thematic space. Rather than competing directly for identical mandates, they offer complementary yet differentiated exposure within the broader digital assets and fintech ecosystem, helping investors navigate sector-specific risks and opportunities through equity securities.
FDIG seeks to track the Fidelity Crypto Industry and Digital Payments Index, providing exposure to global companies engaged in cryptocurrency activities, related blockchain technology, and digital payments processing. The fund is passively managed and non-diversified, typically holding 60–77 equity securities. Top holdings often include cryptocurrency miners such as IREN Ltd, Hut 8 Corp, Applied Digital, and TeraWulf, alongside Coinbase Global Inc (COIN) and cash equivalents from securities lending. Sector allocations emphasize financial services and technology, with a notable digital payments component. The expense ratio stands at 0.39%. The strategy employs rules-based index construction with periodic rebalancing to maintain alignment with the underlying benchmark.
IBLC seeks to track an index composed of U.S. and non-U.S. companies involved in the development, innovation, and application of blockchain and crypto technologies. The fund is passively managed and non-diversified, holding approximately 40–43 securities. Holdings tend to be more concentrated, with the top 10 positions accounting for roughly 64% of assets; recent examples include IREN Ltd, Circle Internet Group, Coinbase Global Inc (COIN), Advanced Micro Devices Inc (AMD), and Hut 8 Corp. Sector breakdown shows heavy weighting toward financial services and information technology. The expense ratio is 0.47%. Rebalancing follows the index methodology to reflect changes in constituent eligibility based on revenue thresholds tied to blockchain activities.
The blockchain and digital assets sector operates at the intersection of financial innovation, regulatory evolution, and technological infrastructure development. Key macro drivers include institutional interest in digital payments solutions, energy consumption considerations for mining operations, and ongoing policy developments around cryptocurrency frameworks in major jurisdictions. Capital flows into blockchain-related equities often correlate with broader risk sentiment and interest rate expectations. Sector risks encompass high volatility, regulatory uncertainty, technological obsolescence, and concentration in a limited number of specialized companies. Both ETFs position investors for potential growth in these areas while exposing them to the cyclical nature of crypto markets and associated equities.
In recent market cycles, both ETFs have exhibited elevated volatility consistent with their thematic focus on cryptocurrency-adjacent equities. FDIG’s broader inclusion of digital payments companies and slightly larger number of holdings may contribute to marginally different sensitivity to sector rotations compared with the more concentrated IBLC. Performance differentials have often reflected shifts in miner profitability, semiconductor demand, and exchange operator earnings during periods of changing crypto asset prices and macroeconomic conditions. Relative positioning favors FDIG for investors prioritizing cost efficiency and modest diversification, while IBLC may offer stronger alignment with pure-play blockchain technology themes during periods of infrastructure-focused momentum.
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Based on observable structural factors, Tickeron’s AI would currently assign a modestly higher probability of favorability to FDIG due to its lower expense ratio, broader holdings profile, and balanced exposure across crypto industry and digital payments segments, which may support more consistent trend participation with relatively lower cost drag over extended periods.
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| FDIG | IBLC | FDIG / IBLC | |
| Gain YTD | 17.501 | 27.220 | 64% |
| Net Assets | 304M | 98.4M | 309% |
| Total Expense Ratio | 0.39 | 0.47 | 83% |
| Turnover | 79.00 | 51.00 | 155% |
| Yield | 0.99 | 1.03 | 96% |
| Fund Existence | 4 years | 4 years | - |
| FDIG | IBLC | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 90% | N/A |
| Stochastic ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Momentum ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| MACD ODDS (%) | 1 day ago 83% | 1 day ago 85% |
| TrendWeek ODDS (%) | 1 day ago 90% | 1 day ago 88% |
| TrendMonth ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Advances ODDS (%) | 8 days ago 90% | 9 days ago 90% |
| Declines ODDS (%) | 1 day ago 90% | 1 day ago 87% |
| BollingerBands ODDS (%) | N/A | 1 day ago 88% |
| Aroon ODDS (%) | 1 day ago 90% | 1 day ago 90% |
A.I.dvisor indicates that over the last year, FDIG has been closely correlated with CLSK. These tickers have moved in lockstep 85% 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% | -1.95% | ||
| CLSK - FDIG | 85% Closely correlated | -1.46% | ||
| RIOT - FDIG | 84% Closely correlated | +0.19% | ||
| HUT - FDIG | 83% Closely correlated | -0.59% | ||
| CIFR - FDIG | 80% Closely correlated | -1.78% | ||
| MARA - FDIG | 80% Closely correlated | -1.01% | ||
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A.I.dvisor indicates that over the last year, IBLC has been closely correlated with RIOT. These tickers have moved in lockstep 85% of the time. This A.I.-generated data suggests there is a high statistical probability that if IBLC jumps, then RIOT could also see price increases.
| Ticker / NAME | Correlation To IBLC | 1D Price Change % | ||
|---|---|---|---|---|
| IBLC | 100% | -2.19% | ||
| RIOT - IBLC | 85% Closely correlated | +0.19% | ||
| CLSK - IBLC | 84% Closely correlated | -1.46% | ||
| HUT - IBLC | 82% Closely correlated | -0.59% | ||
| CIFR - IBLC | 80% Closely correlated | -1.78% | ||
| MARA - IBLC | 80% Closely correlated | -1.01% | ||
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