DPST and IFED represent distinct strategies within the U.S. equity landscape, with DPST delivering leveraged exposure to regional banks and IFED offering policy-sensitive large-cap selection. They do not compete directly but provide alternative paths for investors seeking exposure to financial sector or monetary policy themes. Comparing them highlights differences in leverage, diversification, cost, and macroeconomic sensitivity, aiding informed positioning in evolving interest rate and banking environments.
The Direxion Daily Regional Banks Bull 3X Shares (DPST) is a leveraged ETF that seeks daily investment results, before fees and expenses, of 300% of the performance of the S&P Regional Banks Select Industry Index. It holds approximately 148 securities, with 100% allocation to the financials sector. Top holdings include regional banks such as Flagstar Bank Na, Zions Bancorporation, Bank Ozk, Texas Capital, and Associated Bancorp. The fund employs a passive leveraged strategy with daily rebalancing to maintain target exposure. Its expense ratio stands at 0.92%. As a leveraged product, it amplifies both gains and losses relative to the underlying index and is suited for short-term tactical use rather than long-term buy-and-hold.
The ETRACS IFED Invest with the Fed TR Index ETN (IFED) tracks the IFED Large-Cap US Equity Index Total Return, less applicable fees. This ETN uses a rules-based active strategy that selects and weights large-cap U.S. equities based on their positioning relative to prevailing Federal Reserve monetary policy signals and key firm metrics. It falls into the large blend category and carries an annual tracking fee of 0.45%. The structure relies on the credit of the issuer rather than holding underlying assets directly. Holdings emphasize large-cap names responsive to interest rate and policy shifts, providing dynamic exposure without traditional leverage. The approach aims to maximize benefits from the current monetary environment through transparent, rules-driven adjustments.
Both ETFs operate within the U.S. financial and large-cap equity markets, influenced by Federal Reserve policy, interest rate expectations, and regional banking health. Regional banks face ongoing pressures from regulatory scrutiny, deposit dynamics, and economic cycles, while large-cap equities respond to broader monetary easing or tightening signals. Capital flows into financials often accelerate during anticipated rate cuts, whereas policy-sensitive strategies like IFED’s adjust weights based on Fed actions. Macro drivers include inflation trends, employment data, and geopolitical events affecting credit conditions. Sector risks encompass credit quality deterioration in banks and valuation shifts in large-cap names tied to policy pivots.
In recent market cycles, DPST has exhibited amplified volatility due to its 3x leverage, magnifying moves in regional bank stocks amid interest rate fluctuations and earnings reports. IFED’s positioning has shown more measured responses, benefiting from its focus on large-cap equities aligned with Federal Reserve signals during periods of policy accommodation. Relative positioning highlights DPST’s higher sensitivity to banking-specific catalysts versus IFED’s broader resilience through diversified large-cap exposure. Volatility differences stem from leverage in DPST versus the adaptive, non-leveraged methodology in IFED, with sector rotation favoring one or the other depending on monetary policy momentum.
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 to uncover opportunities aligned with your strategy.
Tickeron’s AI would likely favor IFED at present due to its lower cost structure, broader diversification across large-cap equities, and adaptive alignment with Federal Reserve policy signals, which may offer more consistent positioning amid ongoing monetary uncertainty compared to DPST’s concentrated leveraged regional bank exposure.
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| DPST | IFED | DPST / IFED | |
| Gain YTD | 31.869 | -3.069 | -1,038% |
| Net Assets | 440M | 73.1M | 602% |
| Total Expense Ratio | 0.92 | N/A | - |
| Turnover | 152.00 | N/A | - |
| Yield | 1.86 | 0.00 | - |
| Fund Existence | 11 years | 5 years | - |
| DPST | IFED | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 90% | 1 day ago 70% |
| Stochastic ODDS (%) | 1 day ago 90% | 1 day ago 69% |
| Momentum ODDS (%) | 1 day ago 90% | 1 day ago 88% |
| MACD ODDS (%) | 1 day ago 90% | 1 day ago 79% |
| TrendWeek ODDS (%) | 1 day ago 90% | 1 day ago 70% |
| TrendMonth ODDS (%) | 1 day ago 90% | 1 day ago 81% |
| Advances ODDS (%) | 1 day ago 90% | 2 days ago 83% |
| Declines ODDS (%) | 27 days ago 90% | 7 days ago 68% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 75% |
| Aroon ODDS (%) | 1 day ago 90% | 1 day ago 78% |
| 1 Day | |||
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| MFs / NAME | Price $ | Chg $ | Chg % |
| RSEAX | 18.12 | N/A | N/A |
| Russell Inv US Strategic Equity A | |||
| TQVAX | 21.83 | N/A | N/A |
| T. Rowe Price Integrated US LCV Eq Adv | |||
| TIHAX | 16.39 | N/A | N/A |
| Transamerica International Stock A | |||
| MOPCX | 27.71 | -0.31 | -1.11% |
| NYLI WMC Small Companies Class C | |||
| RGLDX | 30.52 | -0.61 | -1.96% |
| American Funds Global Insight R-3 | |||
A.I.dvisor indicates that over the last year, DPST has been closely correlated with FNB. These tickers have moved in lockstep 94% of the time. This A.I.-generated data suggests there is a high statistical probability that if DPST jumps, then FNB could also see price increases.
| Ticker / NAME | Correlation To DPST | 1D Price Change % | ||
|---|---|---|---|---|
| DPST | 100% | +4.69% | ||
| FNB - DPST | 94% Closely correlated | +2.12% | ||
| ASB - DPST | 94% Closely correlated | +1.70% | ||
| ONB - DPST | 94% Closely correlated | +1.28% | ||
| FULT - DPST | 93% Closely correlated | +2.65% | ||
| UBSI - DPST | 93% Closely correlated | +0.78% | ||
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