Jupiter Borrowing Rate Analysis & Recommendations (02/04/25)

SUMMARY

This report examines Jupiter’s competitive positioning in the perpetual futures market, focusing on rate structures, market share dynamics, and growth potential. Our research synthesizes data across rate frameworks, comparative funding environments, and detailed volume/OI analysis to demonstrate why reducing fees, rather than capping JLP supply, represents the optimal path for sustainable growth. The current SOL borrowing rate (33.11%) is 3x higher than competitors (HyperLiquid: 10.95%, Binance: -0.833%), while BTC and ETH rates remain more competitive (14.8% and 13.7%)

Recommendations:

  • Reduce base borrowing rate from 10% to 3% across all assets
  • Implement revised dual slope parameters:
    • SOL: 25% target, 200% max, 875% upper slope
    • ETH: 15% target, 90% max, 375% upper slope
    • BTC: 15% target, 80% max, 325% upper slope
    • Stables: 10% target, 20-26% max, 50-77.7% upper slope
  • Allow natural market forces to determine JLP pricing rather than implementing caps
  • Focus on growing absolute volume through competitive rates rather than maintaining high fees
    • JLP consistently outperforms market index on Sharpe ratio metrics since October 2024

Parameter Methodology and Rationale

Our parameter calibration employs a dynamic risk premium framework designed to optimize protocol performance across varying market conditions. The model synthesizes historical market data through carefully tuned multipliers that scale with asset volatility, creating a responsive yet stable rate environment. At its core, the framework targets risk-adjusted returns through implied Sharpe ratios that scale progressively with utilization, ensuring liquidity providers receive appropriate compensation during periods of market stress while maintaining attractive rates during normal conditions. A minimum borrowing rate of 10% annually has been implemented across all assets, aligning with major centralized venues and establishing high/low ranges in the perpetual futures market.

The system’s core mechanics leverage proprietary utilization factors that dynamically adjust to market conditions, with specific enhancements for different asset classes. The framework employs more aggressive scaling factors for traditional crypto assets, while stable assets see the modified treatment through specialized multipliers that reflect their unique risk characteristics. This approach allows traders to naturally size their positions based on their return expectations against our implied risk-adjusted return thresholds, creating an efficient market-driven equilibrium.

The framework’s dual slope methodology creates distinct behavioral zones that help optimize capital efficiency. Primary metrics are derived from a complex interplay of volatility measures and utilization patterns, enabling organic responses to changing market conditions while maintaining protocol stability. Targeting specific risk-adjusted return thresholds through our premium structure creates natural arbitrage opportunities when returns deviate from equilibrium levels, helping maintain balanced market dynamics. This comprehensive approach ensures the protocol can adapt to market evolution while providing appropriate incentive structures for all participants, with rates computed continuously to maintain precision in execution.

Understanding the Parameters

The dual-slope model uses four key parameters to manage borrowing rates and utilization:

Target Rate: The optimal borrowing rate when utilization is at the target level (80%). This rate is designed to be attractive enough for traders while adequately compensating JLP providers. It represents the equilibrium point where borrowing demand and liquidity provision are well-balanced.

Max Rate: The highest borrowing rate applied when utilization reaches 100%. This serves as a circuit breaker during high utilization periods, strongly incentivizing traders to reduce positions or attract new liquidity. The significant increase from the target to max rate helps prevent utilization from staying too high for extended periods.

Lower Slope: The rate of increase in borrowing costs from 0% to 80% utilization. A gentler slope here keeps rates reasonable during normal market conditions while still providing meaningful yields to JLP providers.

Upper Slope: The rate of increase from 80% to 100% utilization. The steeper slope creates strong economic pressure to maintain utilization below the target level, helping protect protocol liquidity during stress periods.


Recommendations

Dual Slope Borrowing Rate Parameters

Asset Min Rate APR Target Rate APR Max Rate APR Lower Slope APR Upper Slope APR
SOL 3% 25% 200% 27.5% 875%
ETH 3% 15% 90% 15% 375%
BTC 3% 15% 80% 15% 325%
USDC 3% 10% 25.54% 8.75% 77.70%
USDT 3% 10% 20% 8.75% 50%


Supporting Data

SOL, ETH, and BTC Volatility and Ut metrics:




Rationale

Funding / Borrow Rate Comparison

Funding Rates (as of Jan 30, 2025)

Asset Drift Binance HyperLiquid dYdX Zeta
SOL-PERP +7.81% -0.83% +10.95% +2.40% +58.98%
BTC-PERP -10.87% +1.34% +10.95% +52.44% -53.87%
ETH-PERP +7.29% +10.28% +10.95% +48.77% +23.14%

Borrow Rates

Asset Flash Jupiter
SOL-PERP +39.3613% +33.1152%
BTC-PERP +30.7196% +14.8587%
ETH-PERP +30.6162% +13.7646%

While ETH and BTC rates remain somewhat competitive with Binance, HyperLiquid, and Drift, the SOL rate on Jupiter is at least three times higher than on those platforms. Continuing with higher fees in hopes of retaining trading volume may not be effective, as traders are price-sensitive and gravitate toward venues offering lower fees and deeper liquidity.

While Jupiter’s liquidity is robust, it is also comparatively expensive. Data shows Jupiter’s share of CEX trading volume for SOL ranges from 5–9%, a figure that has remained flat but has potential for growth. We believe setting the base rate at 3% would better align with the broader market and average. funding rates across competitor venues, where fees have been generally lower. Traders actively seek optimal funding conditions. The recommended 3% base rate and adjusted slopes aim to preserve liquidity while keeping borrowing costs competitive, ultimately helping attract and retain greater trading volume.

Avg. 30-day funding rates:

Asset Drift Rates Binance Rate
SOL 5.58% 0.72%
BTC 7.32% 6.86%
ETH -3.88% 5.96%

DEX Perpetual Futures - OI and Volume Comparison

Venue Open Interest (m) Volume (m) Open Interest % Volume %
Jupiter 366.74 429.56 28.39 43.32
HyperLiquid 700.00 310.00 54.19 31.26
Drift 188.00 200.00 14.55 20.17
dYdX 37.00 52.00 2.86 5.24

This data represents the state of Solana perpetual futures trading across major decentralized exchanges (DEXes).

Their high volume relative to open interest (429.56M/366.74M) indicates active trading rather than just position holding.

HyperLiquid’s dominance in open interest ($700M, 54.19% of total) while having lower volume suggests they might be attracting more longer-term position traders, which is evident as they are offering better funding rates/fees for position holdingThis could also reflect their focus on market making and professional trading infrastructure.

Drift maintains a solid third position with balanced metrics. Their approximately 15-20% market share across both metrics suggests a stable, established user base.

CEX Competitive Positioning Analysis

  • Jupiter maintains ~7% volume share for Solana trading, slightly lower than its OI share (~10%)
  • Binance dominates with ~50-60% of both volume and OI
  • Bybit/OKX account for 15-30% combined volume share

Jupiter’s higher OI share compared to its volume share suggests that it has built features that traders value more highly than centralized exchanges like Binance for position holding. However, Jupiter’s elevated borrowing fee structure suppresses its natural growth potential. The data indicates that Jupiter has developed a superior product that traders actively want to use - the next step is to allow market forces to operate efficiently by bringing fees in line with competitors.




JLP Cap, its impact on growth, and next steps

In any financial market, prices find their natural equilibrium through the interaction of supply and demand. Assets carry inherent risks, and their returns should properly reflect these risk profiles. When an asset’s returns exceed what’s justified by its risk profile, the market naturally corrects this through price discovery. We can observe this principle in traditional markets - when U.S. Treasury bonds see high demand, their yields decline as prices rise, effectively reducing returns to match their risk profile.
This same framework reveals essential insights about Jupiter’s current state. The JLP 30-day Sharpe ratio has consistently outperformed the index since October, indicating returns that exceed what’s justified by the underlying risk. This outperformance isn’t necessarily positive - rather, it signals a market inefficiency that’s creating opportunities for value extraction.
Arbitrageurs are capturing millions of dollars by exploiting the premium between JLP’s fundamental value and market price. This premium exists because artificially high fees create expectations of outsized returns, as evidenced by JLP’s superior Sharpe ratio. The market is already responding to this inefficiency - we see this in the faster growth rate of AUM compared to fees accrued through trading and borrowing rates.


The market is attempting to reprice JLP to reflect its risk/volatility profile better. This is a healthy, “self-healing” process where those naturally replace market participants who demand higher returns with lower return requirements. However, artificially high fees and caps on JLP disrupt this natural adjustment.
The declining utilization rates and rising AUM point to fundamental issues with the current borrowing rate parameters. Rather than artificially capping AUM to maintain high utilization, Jupiter should adjust borrowing rates to align with broader market sentiment. The data shows traders explore platforms with more attractive financing rates, suggesting the market is seeking a more efficient equilibrium.
By reducing fees instead of capping JLP, Jupiter can:

  1. Allow natural price discovery to establish appropriate risk-adjusted returns
  2. Capture value currently being extracted by arbitrageurs
  3. Deepen liquidity pools through increased AUM
  4. Position itself as the most cost-effective venue for trading
  5. Build sustainable competitive advantages against venues like HyperLiquid

This approach recognizes that while the current liquidity provider model may not persist indefinitely, maximizing its efficiency now creates the strongest foundation for Jupiter’s eventual transition to alternative market structures, such as order books.

The empirical evidence supports this direction, from market metrics to trading patterns. By embracing rather than resisting market forces, Jupiter can create a more efficient, sustainable ecosystem that better serves all participants while building the infrastructure needed for long-term success in the evolving DeFi landscape.

The relationship between trading volume and volatility shows a clear correlation, while utilization remains uncorrelated. This suggests that during high volatility periods, Jupiter is potentially losing volume to competitors due to high fees rather than a lack of capital. Reducing fees would position Jupiter to capture this volume, potentially generating more total revenue than maintaining high fees with lower volume.



Consider two scenarios:

  1. High fees + capped JLP: Limited growth, vulnerable to competition, artificially maintained returns
  2. Competitive fees + uncapped JLP: Natural growth, market-driven returns, sustainable competitive advantage

The data supports scenario 2. Looking at utilization trends, we see periods where trading volume spikes don’t correlate with high utilization, suggesting traders actively seek the most cost-effective venues regardless of liquidity depth.

Furthermore, the perpetual futures market shows signs of maturation, where competition shifts from liquidity depth to execution costs. Jupiter’s strong liquidity and trader base position it perfectly to compete on fees, but only if it moves away from artificial constraints on market growth.

The choice between capping JLP and reducing fees isn’t just about short-term metrics – it’s about choosing between artificial stability and sustainable growth. The market data clearly suggests that embracing competitive fees while allowing natural capital inflow will create a stronger, more resilient protocol in the long term.

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Updated recommendations (02/13/25)

Given the recent utilization and volume trends, we propose further reducing borrowing fees. The rationale above aligns with these recommendations.

Asset Min Rate APR Target Rate APR Max Rate APR Lower Slope APR Upper Slope APR
SOL 3% 20% 75% 21.25% 275%
ETH 3% 11% 40% 10% 145%
BTC 3% 11% 50% 10% 195%
USDC 3% 10% 30% 8.75% 100%
USDT 3% 10% 10% 8.75% 0%

3 Likes

in a future JUP would be in the list

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Evaluating Jupiter’s Growth Strategy - Borrowing Rate Recommendations

Summary

The recommendations propose significantly reducing borrowing fees and removing the JLP cap as a means to drive growth. While exploring strategies to expand Jupiter’s market position is valuable, it is important to carefully weigh additional risks alongside growth opportunities to ensure a sustainable approach.

After reviewing the available data, we believe that certain factors warrant further consideration:

  1. Reducing borrowing fees by 3x would result in a significant decrease in protocol revenue, without clear evidence that this would meaningfully increase trading volume. Additionally, lowering fees could introduce systemic risks by altering the risk-return dynamics for liquidity providers.
  2. Removing the JLP cap could increase exposure to market manipulation risks, given Jupiter’s reliance on an oracle-based pricing model and its current share of market liquidity.

This analysis explores these considerations in more detail, highlighting why a gradual and structured approach to fee adjustments may be preferable. We also suggest that Jupiter’s long-term growth under the current pool-based model may be better supported by implementing dynamic open interest cap updates and refining liquidity pricing mechanisms.

Key Considerations: Risks and Market Realities

1. Considerations for JLP Growth and Utilization Constraints

The JLP supply cap plays a critical role in managing risk and maintaining market stability within Jupiter’s current liquidity model. While removing this cap could theoretically enable growth, it also introduces potential risks that need to be carefully considered.

Jupiter’s market share (~7% of global volume, ~10% of open interest), while relying on a price oracle, is what primarily inhibits growth.

That is the main reason for capping the open interest and, eventually, JLP AUM. The goal is not to artificially increase utilization. This problem worsens with the lack of an effective price impact in Jupiter’s model, as all available liquidity is offered at the oracle price. This creates a significant risk of market manipulation where any single trader can tap into all liquidity in the LP pool. Once the available liquidity provides sufficient profit to a malicious trader, prices may be manipulated to extract value from the protocol. Expanding the JLP supply without addressing this would significantly increase manipulation risk, not drive meaningful growth. The real path to growth under the current pool based model lies in the dynamic management of open interest caps, as well as effective pricing of liquidity through price impact.

2. JLP Risk is not limited to the Volatility of the Index

The analysis places significant emphasis on JLP’s Sharpe ratio, comparing it directly to the underlying asset basket. While Sharpe ratio is a useful risk-adjusted return metric, it does not capture the full scope of risks that JLP liquidity providers (LPs) assume.

JLP LPs assume greater risks than simply holding the assets – their exposure includes additional risks such as manipulation risk, redemption risk, and directional market moves. JLP’s Sharpe Ratio doesn’t account for these risks – comparing it directly to an asset basket ignores the premium that should naturally exist to compensate LPs for taking on these additional exposures. It’s also important to note that liquidity providers to JLP face a different risk profile compared to market makers on competitors in Gauntlet’s analysis. Unlike MM firms operating on CEXs and certain DEXs, JLP LPs lack granular control over order flow and exposure, making direct comparisons misleading. Market makers on Binance, HyperLiquid, or dYdX have the ability to hedge in real time, manage spreads dynamically, and adjust inventory with more precision—none of which is available to JLP providers under the current model. Outperformance in Sharpe Ratio does not indicate inefficiency—rather, it may reflect a necessary premium for risk-taking.

Ignoring these critical factors does not allow us to draw any conclusions about JLP’s efficiency and appropriate fee structures.

3. Considerations on Borrowing Rates, Trading Volume, and Utilization Dynamics

The relationship between trading volume, volatility, and utilization suggests that multiple factors influence trader behavior beyond borrowing rates alone. The data shows that while trading volume tends to increase during periods of high volatility. This suggests that traders may not be as sensitive to borrowing fees as implied, particularly during high-volatility periods.

Additionally, changes in borrowing rates should be considered in the context of liquidity risk management. Increasing utilization, particularly during periods of heightened leverage demand, can lead to extended periods of full pool utilization. For example, during the weeks following the U.S. presidential elections, utilization reached 100% for prolonged periods, not due to a reduction in JLP liquidity but rather due to increased demand for leverage.

  • During this period, utilization remained high and borrowing rates reached their maximum level (~90%), indicating that the elevated rates did not necessarily deter borrowing or significantly reduce open interest.
  • Under these conditions, lowering the maximum borrowing rate to 75%, as proposed, could reduce incentives for liquidity providers, potentially impacting overall liquidity depth at critical moments.
  • Maintaining available liquidity is essential for a positive trader experience. Extended periods of full utilization will lead to liquidity shortages, which could negatively impact growth in volume.

Given these dynamics, the potential impact of borrowing rate reductions on trading volume and liquidity availability should be assessed carefully to ensure that any adjustments balance trader incentives with risk management and protocol sustainability.

This high demand indicates that reducing fees may not be the key driver of volume growth, but rather that Jupiter must ensure a robust liquidity structure that can handle volatility effectively.

4. Additional Considerations in Comparative Analysis Against Other DEXs

When comparing Jupiter’s fee structure and market dynamics to other DEXs, there are several additional factors that should be taken into account to provide a more complete assessment. These factors may influence volume trends, trader behavior, and liquidity provision in ways that are not fully captured by a direct fee comparison:

  • The impact of incentives such as airdrop farming – Many DEXs have experienced volume inflows driven by token incentives rather than purely organic trading demand. When assessing volume sensitivity to fees, it is important to account for incentives, which in some cases can be comparable in scale to trading fees.
  • Total cost of execution vs. borrowing/funding rates alone – Traders consider their overall cost of execution, which includes opening fees, slippage, and liquidation costs, in addition to borrowing or funding fees. A comprehensive comparison should factor in these additional components rather than focusing solely on funding vs. borrowing rates.
  • Understanding open interest dynamics on different platforms – HyperLiquid’s high open interest relative to volume (54.19% of total OI) has been interpreted as evidence that it attracts long-term position traders due to lower holding costs. However, a significant portion of this open interest may come from short hedging positions, which are not currently viable on Jupiter due to the absence of a funding rate. Many traders use perpetual futures as a hedging tool for long spot exposure, keeping short positions open for extended periods.
    • Platforms like HyperLiquid support this type of trading with stable, low-cost funding rates.
    • Without a true funding rate mechanism, Jupiter does not currently offer the same flexibility for hedging, which may impact its OI growth relative to competitors.
    • A direct comparison of OI without accounting for funding rate structures and trader behavior may not fully explain the differences in market share.
  • Assessing trading behavior over a representative time frame – Evaluating market behavior over a short 30-day period may not provide a full picture, as trading patterns can vary significantly depending on market conditions. Looking at historical rate trends over a longer time frame reveals that the liquidity cost gap between platforms fluctuates, with Jupiter being competitive in certain periods.

Considering these factors can help create a more holistic comparison of trading dynamics across platforms, ensuring that conclusions about fee competitiveness and market positioning are based on a broader market context.

Conclusion: A Balanced Approach to Jupiter’s Growth

The recommendations aim to support Jupiter’s expansion, and exploring strategies for growth is valuable. However, it is important to ensure that any adjustments consider market behavior, liquidity dynamics, and associated risks.

Key considerations include:

  • Adjustments to JLP caps should be accompanied by structural improvements (Dynamic price impact, open interest caps) to mitigate risks such as market manipulation.
  • There is no clear evidence that a large reduction in the borrowing fees component would lead to a proportional increase in trading volume.
  • JLP’s Sharpe ratio does not fully capture all risks faced by liquidity providers, including manipulation and redemption risks, which may justify a higher return premium. Significantly lowering fees could reduce incentives for liquidity provisioning, potentially affecting protocol stability.

Given these factors, a cautious and data-driven approach to fee adjustments is recommended. Gradual changes, accompanied by thorough testing and ongoing assessment, would provide better insight into how fee structures impact both traders and liquidity providers, ensuring a more sustainable path forward.

Alternative Borrowing Rate Recommendations

  • SOL: Reduce the maximum rate from 230% → 150% and the target rate from 60% → 50% to improve competitiveness while still compensating liquidity providers adequately, particularly at times of high volatility.
  • BTC/ETH: Increase the maximum rate to 120% to ensure liquidity providers are fairly compensated during periods of high utilization, mitigating liquidity risks.
  • All Assets (including stables): Implement a minimum rate of 3% to encourage short position utilization and align JLP exposure with its theoretical target, reducing reliance on excessive long positions.
Asset Min Rate APR Target Rate APR Max Rate APR Target Utilization Lower Slope APR Upper Slope APR
SOL 3% 50% 150% 80% 58.75% 500%
BTC 3% 20% 120% 80% 21.25% 500%
ETH 3% 23% 120% 80% 25% 485%
USDT 3% 10% 25% 80% 8.75% 75%
USDC 3% 10% 25% 80% 8.75% 75%
4 Likes

very nice and interesting post, thank you :sunglasses:

Thanks for your response. We understand that the JLP AUM cap increase should not be unlimited. Our post primarily aimed to explain that capping the JLP won’t affect Jupiter’s success as a trading venue, and that artificially protecting the caps is not a cure-all solution. Jupiter needs to become more competitive, and while we acknowledge it’s difficult to accurately predict the impact of lowering borrow fees, we stand by our initial recommendations from our first post if you prefer a more conservative approach to changes. Caps can be increased dynamically, but claiming that just having a cap will improve Jupiter’s competitiveness is not accurate.

Asset Min Rate APR Target Rate APR Max Rate APR Lower Slope APR Upper Slope APR
SOL 3% 25% 200% 27.5% 875%
ETH 3% 15% 90% 15% 375%
BTC 3% 15% 80% 15% 325%
USDC 3% 10% 25.54% 8.75% 77.70%
USDT 3% 10% 20% 8.75% 50%

Also, please smooth your funding rate chart at least to daily averages. The picture will change drastically.

On another note, JLP providers can hedge their exposure with custom trading strategies that are now freely available on the market.

What’s the justification for these specific borrow fee values you’re proposing? It would be helpful to understand your methodology in more detail. Are the rates determined by factors such as volatility, utilization, open interest, or competing venues? Do you have models to support your recommendations?

Perhaps most concerningly, your report inadequately addresses implementation risks associated with their proposed fee reduction strategy. There’s no discussion of potential market share change from sudden fee changes nor any suggestion of a phased implementation approach to mitigate such risks. This analysis could benefit from quantitative backing and a more thorough consideration of implementation challenges.

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