DBP
Price
$102.50
Change
-$0.87 (-0.84%)
Updated
Sep 4 closing price
Net Assets
238.49M
Intraday BUY SELL Signals
FGDL
Price
$59.06
Change
-$0.53 (-0.89%)
Updated
Sep 4 closing price
Net Assets
457.75M
Intraday BUY SELL Signals
SLV
Price
$59.82
Change
-$0.73 (-1.21%)
Updated
Sep 4 closing price
Net Assets
32.96B
Intraday BUY SELL Signals
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DBP or FGDL or SLV

DBP vs FGDL vs SLV Comparison Chart in %
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A.I.Advisor
Sep 01, 2026

Which ETF would AI Choose? Invesco DB Precious Metals Fund (DBP) vs. Franklin Responsibly Sourced Gold ETF (FGDL) vs. iShares Silver Trust (SLV)

Key Takeaways

  • DBP employs a futures-based strategy tracking a rules-based index of gold and silver contracts, offering exposure to both metals with potential tax advantages from 60/40 treatment but higher expense ratios near 0.75%.
  • FGDL provides direct physical gold exposure through responsibly sourced bullion at a low 0.15% expense ratio, emphasizing ESG-aligned sourcing standards.
  • SLV delivers pure physical silver exposure via a grantor trust structure at a 0.50% expense ratio, resulting in higher volatility tied to industrial demand factors.
  • Structural differences include futures collateralization in DBP versus physical holdings in FGDL and SLV, affecting tracking precision, liquidity profiles, and tax treatment.
  • FGDL stands out for cost efficiency and single-commodity focus, while DBP provides broader precious metals diversification and SLV offers concentrated silver sensitivity.
  • All three ETFs operate within the precious metals theme but vary in risk-adjusted positioning due to commodity mix, replication method, and fee structures.

Introduction

These three ETFs provide distinct approaches to precious metals exposure, making them relevant for comparison in the current environment of fluctuating commodity prices and shifting investor interest in gold and silver. DBP uses futures on both gold and silver, FGDL focuses on physical gold with responsible sourcing, and SLV targets physical silver. They compete within the same broad sector yet represent different strategic implementations—one multi-metal futures-based, one ESG-oriented gold physical, and one silver-specific physical—allowing investors to evaluate trade-offs in diversification, costs, and thematic tilts.

Invesco DB Precious Metals Fund (DBP) Overview

DBP seeks to track the DBIQ Optimum Yield Precious Metals Index Excess Return, a rules-based index composed of futures contracts on gold and silver. The fund maintains a commodity pool structure with collateral primarily in U.S. Treasury securities and money market instruments. It typically holds a limited number of positions focused on futures and cash equivalents rather than individual equities. The expense ratio stands at approximately 0.75%. Rebalancing occurs annually in November. Distinguishing features include its futures-based approach, which can mitigate certain contango effects through optimized contract selection, and 60/40 tax treatment on gains and losses.

Franklin Responsibly Sourced Gold ETF (FGDL) Overview

FGDL aims to reflect the performance of the LBMA Gold Price, less expenses, by holding physical gold bullion that meets responsible sourcing criteria under the London Bullion Market Association guidelines for bars refined after 2012. Structured as a grantor trust, it maintains a single primary holding of gold bars custodied at JPMorgan Chase Bank. The expense ratio is 0.15%. The fund offers a passive, physically backed strategy with an emphasis on environmental, social, and governance factors in the gold supply chain. No active rebalancing of commodity positions occurs beyond maintaining the physical inventory.

iShares Silver Trust (SLV) Overview

SLV seeks to reflect the performance of the LBMA Silver Price before expenses and liabilities through direct ownership of physical silver bullion. It operates as a grantor trust with a single holding of silver stored in London vaults. The expense ratio is 0.50%. The structure provides straightforward exposure to silver spot prices without futures or derivatives. As a passive vehicle, it does not engage in activities to profit from or offset price changes in the underlying metal.

Industry and Thematic Landscape

The precious metals sector continues to attract attention amid macroeconomic drivers such as inflation hedging, geopolitical tensions, and industrial demand for silver in electronics and renewable energy applications. Capital flows into gold often reflect safe-haven demand, while silver exhibits greater sensitivity to economic cycles and supply constraints from mining operations. Regulatory shifts around responsible sourcing and environmental standards influence gold-related products, and broader commodity market dynamics affect futures curves for multi-metal strategies. Sector risks include price volatility from currency fluctuations, changes in central bank policies, and varying levels of physical supply availability.

Performance and Positioning Comparison

In recent market cycles, the ETFs have shown differentiated behavior driven by their underlying exposures. DBP’s futures-based mix of gold and silver has delivered relatively moderated volatility compared to pure silver plays, with performance influenced by roll yields and collateral income. FGDL has benefited from tight tracking to spot gold prices and lower costs, supporting more consistent positioning in gold-dominant environments. SLV has experienced higher drawdowns and rebounds tied to silver’s industrial demand sensitivity and greater price swings. Relative differences arise from commodity concentration, with DBP offering blended exposure, FGDL focused efficiency in gold, and SLV amplified silver beta.

AI Screener

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 opportunities with the AI Screener.

Tickeron AI Verdict

Based on structural strength, FGDL demonstrates advantages in cost efficiency and direct physical gold exposure with responsible sourcing, supporting favorable risk-adjusted positioning in gold-focused allocations. DBP offers diversified precious metals access through futures with potential tax benefits, while SLV provides targeted silver sensitivity at moderate cost. Tickeron’s AI would currently assign the highest probabilistic preference to FGDL for its combination of low expenses, physical backing, and thematic alignment in prevailing market conditions.

Disclaimer

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.

Disclaimers and Limitations

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SUMMARIES
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FUNDAMENTALS
Fundamentals
SLV has more net assets: 33B vs. FGDL (458M) and DBP (238M). FGDL has a higher annual dividend yield than DBP and SLV: FGDL (2.531) vs DBP (-0.297) and SLV (-7.141). DBP was incepted earlier than FGDL and SLV: DBP (20 years) vs FGDL (4 years) and SLV (20 years). FGDL (0.15) has a lower expense ratio than SLV (0.50) and DBP (0.75).
DBPFGDLSLV
Gain YTD-0.2972.531-7.141
Net Assets238M458M33B
Total Expense Ratio0.750.150.50
TurnoverN/AN/AN/A
Yield2.450.000.00
Fund Existence20 years4 years20 years
TECHNICAL ANALYSIS
Technical Analysis
DBPFGDLSLV
RSI
ODDS (%)
Bearish Trend 2 days ago
80%
Bearish Trend 2 days ago
68%
Bearish Trend 2 days ago
83%
Stochastic
ODDS (%)
Bullish Trend 2 days ago
87%
Bullish Trend 2 days ago
87%
Bullish Trend 2 days ago
90%
Momentum
ODDS (%)
Bearish Trend 2 days ago
72%
Bearish Trend 2 days ago
65%
Bearish Trend 2 days ago
83%
MACD
ODDS (%)
Bearish Trend 2 days ago
73%
Bearish Trend 2 days ago
54%
Bearish Trend 2 days ago
82%
TrendWeek
ODDS (%)
Bearish Trend 2 days ago
74%
Bearish Trend 2 days ago
68%
Bearish Trend 2 days ago
84%
TrendMonth
ODDS (%)
Bullish Trend 2 days ago
87%
Bullish Trend 2 days ago
87%
Bullish Trend 2 days ago
90%
Advances
ODDS (%)
Bullish Trend 3 days ago
85%
Bullish Trend 3 days ago
84%
Bullish Trend 3 days ago
90%
Declines
ODDS (%)
Bearish Trend 5 days ago
71%
Bearish Trend 5 days ago
62%
N/A
BollingerBands
ODDS (%)
Bearish Trend 2 days ago
75%
Bearish Trend 2 days ago
72%
Bearish Trend 2 days ago
82%
Aroon
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
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