Amplify Lithium & Battery Technology ETF (BATT) and Sprott Critical Materials ETF (SETM) both provide targeted equity exposure to materials and technologies supporting the global shift toward electrification and cleaner energy. These ETFs do not compete directly but offer complementary strategies within the critical materials and energy transition space. BATT narrows focus to the lithium battery ecosystem, while SETM spans a wider array of minerals and metals required for energy generation, transmission, and storage. Investors comparing the two gain insight into varying degrees of thematic concentration and sector breadth.
BATT seeks to track the EQM Lithium & Battery Technology Index. The fund invests at least 80% of its assets in securities of companies involved in the development, production, and use of lithium battery technology, encompassing battery storage, battery metals and materials, and electric vehicles. It holds approximately 55 securities and is non-diversified. Top holdings typically include Contemporary Amperex Technology Co Ltd, BHP Group Ltd, Tesla Inc, BYD Co Ltd, and Freeport-McMoRan Inc. Sector allocations concentrate in materials, industrials, and consumer discretionary, with notable exposure to lithium, nickel, and related supply-chain participants. The expense ratio stands at 0.59%. BATT employs a passive, rules-based approach with periodic index rebalancing.
SETM seeks to track the Nasdaq Sprott Critical Materials Index. The fund targets companies deriving at least 50% of revenue or assets from mining, exploration, production, recycling, or related activities involving energy transition materials, including uranium, copper, lithium, nickel, cobalt, graphite, manganese, rare earths, and silver. It typically holds 100–120 securities. Prominent holdings often feature NAC Kazatomprom JSC, Freeport-McMoRan Inc, Cameco Corp, Albemarle Corp, and Lynas Rare Earths Ltd. Allocations span metals and mining subsectors with global developed and emerging market exposure. The expense ratio is 0.65%. SETM follows a passive, market-cap-weighted methodology with semi-annual index rebalancing.
The critical materials sector benefits from rising global electricity demand, technological advancements in energy storage, and policy support for decarbonization. Macro drivers include expanding electric vehicle adoption, renewable energy infrastructure buildout, and supply-chain diversification efforts amid geopolitical considerations. Both ETFs face risks associated with commodity price volatility, regulatory changes in mining jurisdictions, and shifts in capital expenditure by major producers. Capital flows into energy transition themes have remained steady across recent market cycles, supporting long-term structural demand for the underlying holdings.
In recent market cycles, BATT has shown sensitivity to battery metal price movements and electric vehicle production trends, with performance influenced by earnings from key holdings in lithium and automotive sectors. SETM has reflected broader commodity cycles, including uranium and copper dynamics, leading to differentiated volatility relative to BATT. Relative positioning highlights BATT’s deeper tie to downstream battery and EV applications versus SETM’s upstream mining emphasis. Both funds exhibit elevated volatility compared with broad equity benchmarks due to their thematic concentration, with performance drivers tied to interest rate expectations, global manufacturing activity, and mineral supply constraints over multi-month periods.
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.
Based on observable structural characteristics, Tickeron’s AI would currently assign a modestly higher probability of favor to SETM. Its broader diversification across critical materials, larger number of holdings, and balanced exposure to multiple energy transition subsectors provide a more resilient profile amid evolving commodity and policy environments compared with BATT’s narrower lithium-battery focus.
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| BATT | SETM | BATT / SETM | |
| Gain YTD | 12.576 | 17.306 | 73% |
| Net Assets | 123M | 619M | 20% |
| Total Expense Ratio | 0.59 | 0.65 | 91% |
| Turnover | 73.00 | 55.00 | 133% |
| Yield | 1.61 | 1.31 | 122% |
| Fund Existence | 8 years | 4 years | - |
| BATT | SETM | |
|---|---|---|
| RSI ODDS (%) | N/A | 3 days ago 89% |
| Stochastic ODDS (%) | 3 days ago 80% | 3 days ago 90% |
| Momentum ODDS (%) | 3 days ago 89% | 3 days ago 88% |
| MACD ODDS (%) | 3 days ago 84% | 3 days ago 82% |
| TrendWeek ODDS (%) | 3 days ago 88% | 3 days ago 85% |
| TrendMonth ODDS (%) | 3 days ago 85% | 3 days ago 90% |
| Advances ODDS (%) | 13 days ago 88% | 4 days ago 90% |
| Declines ODDS (%) | 5 days ago 88% | 6 days ago 80% |
| BollingerBands ODDS (%) | 3 days ago 83% | 3 days ago 90% |
| Aroon ODDS (%) | 3 days ago 87% | 3 days ago 90% |
| 1 Day | |||
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| MFs / NAME | Price $ | Chg $ | Chg % |
| WSCOX | 18.68 | 0.08 | +0.43% |
| Allspring Disciplined Small Cap Inst | |||
| EITEX | 55.47 | 0.20 | +0.36% |
| Parametric Tax-Managed Emerg Mkt I | |||
| FCSDX | 19.61 | -0.05 | -0.25% |
| Fidelity Advisor Strategic Div & Inc C | |||
| MUIGX | 20.24 | -0.08 | -0.39% |
| Nationwide BNY Mellon Dyn US Core R6 | |||
| REPSX | 40.37 | -0.48 | -1.18% |
| ProFunds Real Estate UltraSector Svc | |||
A.I.dvisor indicates that over the last year, BATT has been closely correlated with BHP. These tickers have moved in lockstep 79% of the time. This A.I.-generated data suggests there is a high statistical probability that if BATT jumps, then BHP could also see price increases.
| Ticker / NAME | Correlation To BATT | 1D Price Change % | ||
|---|---|---|---|---|
| BATT | 100% | -1.05% | ||
| BHP - BATT | 79% Closely correlated | -0.34% | ||
| ALB - BATT | 59% Loosely correlated | -4.45% | ||
| SQM - BATT | 58% Loosely correlated | -4.20% | ||
| NIU - BATT | 57% Loosely correlated | -2.01% | ||
| ENS - BATT | 56% Loosely correlated | +1.07% | ||
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