Investors seeking leveraged equity exposure face a clear choice between sector-specific amplification and broad-market leverage. Direxion Daily Regional Banks Bull 3X Shares (DPST) and Direxion Daily S&P 500 Bull 3X Shares (SPXL) do not compete directly; instead, they represent distinct strategies for investors targeting similar goals of magnified daily returns. DPST isolates the regional banking sector, while SPXL captures the performance of the largest U.S. companies. The comparison highlights structural differences in concentration, cost, and sensitivity to macroeconomic drivers, helping investors align ETF selection with their risk tolerance and market outlook.
DPST seeks daily investment results, before fees and expenses, of 300% of the performance of the S&P Regional Banks Select Industry Index. The fund maintains approximately 141 holdings, all within the financials sector, with top positions typically including Flagstar Bank, Zions Bancorporation, Bank OZK, Texas Capital Bancshares, and Associated Bancorp. Sector allocation is 100% financials, reflecting the index's exclusive focus on U.S. regional banks and thrifts. The expense ratio is 0.92%. As a leveraged ETF, DPST uses swaps and other derivatives to achieve its daily target and resets exposure each trading day. This structure suits investors seeking amplified exposure to interest-rate-sensitive regional banks but introduces significant volatility and compounding effects over longer periods.
SPXL seeks daily investment results, before fees and expenses, of 300% of the performance of the S&P 500 Index. The fund holds approximately 500 securities, providing broad exposure across market-capitalization-weighted large- and mid-cap U.S. companies. Top holdings typically include Nvidia, Apple, Microsoft, Amazon, and Alphabet. Sector allocations reflect the S&P 500, with significant weights in information technology, financials, health care, and consumer discretionary. The net expense ratio is 0.84%. Like DPST, SPXL is a leveraged ETF that employs derivatives and resets daily, making it appropriate for short-term directional views on overall U.S. equity markets rather than extended holding periods.
Both ETFs operate within the U.S. equity market but respond to different drivers. Regional banks face ongoing sensitivity to Federal Reserve interest-rate policy, credit quality trends, and regulatory oversight, with capital flows influenced by economic growth expectations and deposit competition. The broader S&P 500 environment reflects corporate earnings across technology, healthcare, and industrials, alongside macroeconomic factors such as inflation trends, consumer spending, and global supply-chain developments. Recent market cycles have highlighted how sector rotation between financials and growth-oriented industries can shift relative performance, while both vehicles remain exposed to overall equity market sentiment and liquidity conditions.
In recent weeks and months, DPST has exhibited heightened volatility tied to regional bank earnings reports and interest-rate expectations, amplifying moves in its concentrated holdings. SPXL has tracked broader equity advances or declines with 3x leverage, benefiting from diversification across multiple sectors and leaders in technology and consumer areas. Relative positioning shows DPST more sensitive to financial-sector-specific catalysts such as net interest margin expansion or regulatory changes, while SPXL responds to aggregate large-cap momentum. Over multiple market cycles, the broad diversification of SPXL has generally produced more consistent trend exposure, whereas DPST's sector focus introduces greater dispersion during periods of banking stress or recovery.
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. Investors seeking data-driven insights into leveraged ETFs and sector exposure may find the tool valuable for refining their research process.
Based on observable structural factors, Tickeron’s AI would currently assign a higher probability of favorable positioning to SPXL. Its lower net expense ratio, substantially greater diversification across hundreds of holdings and multiple sectors, and alignment with broad large-cap equity trends provide a more balanced risk profile compared with DPST’s concentrated regional-bank exposure. While DPST offers targeted amplification for investors with a specific bullish view on financials, SPXL’s broader mandate and cost efficiency support more consistent trend participation across varying market environments.
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.
| DPST | SPXL | DPST / SPXL | |
| Gain YTD | 31.869 | 22.704 | 140% |
| Net Assets | 440M | 6.75B | 7% |
| Total Expense Ratio | 0.92 | 0.84 | 110% |
| Turnover | 152.00 | 71.00 | 214% |
| Yield | 1.86 | 0.52 | 357% |
| Fund Existence | 11 years | 18 years | - |
| DPST | SPXL | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 84% |
| TrendWeek ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| TrendMonth ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Advances ODDS (%) | 2 days ago 90% | 9 days ago 90% |
| Declines ODDS (%) | 27 days ago 90% | 7 days ago 88% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| BTGD | 22.15 | 0.30 | +1.37% |
| STKd 100% Bitcoin & 100% Gold ETF | |||
| XCEM | 54.96 | 0.14 | +0.26% |
| Columbia EM Core ex-China ETF | |||
| ADIV | 19.28 | 0.04 | +0.21% |
| Guinness Atkinson Asia Pcfc Div Bldr ETF | |||
| BUFG | 29.22 | -0.08 | -0.29% |
| FT Vest Buffered Allocation Gr ETF | |||
| GXIG | 24.86 | -0.11 | -0.43% |
| Global X Investment Grade Corp Bd ETF | |||
A.I.dvisor indicates that over the last year, SPXL has been loosely correlated with MSFT. These tickers have moved in lockstep 63% of the time. This A.I.-generated data suggests there is some statistical probability that if SPXL jumps, then MSFT could also see price increases.
| Ticker / NAME | Correlation To SPXL | 1D Price Change % | ||
|---|---|---|---|---|
| SPXL | 100% | -0.94% | ||
| MSFT - SPXL | 63% Loosely correlated | -3.18% | ||
| AAPL - SPXL | 62% Loosely correlated | -0.34% | ||
| AMZN - SPXL | 60% Loosely correlated | -4.75% | ||
| META - SPXL | 59% Loosely correlated | -2.32% | ||
| NVDA - SPXL | 56% Loosely correlated | -0.97% | ||
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