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Handling pool state in raydium cpmm: simulate vs execute

Changes in Pool State Spark Concerns | Risks Grow in Raydium CPMM Execution

By

Fatima Hassan

Jun 3, 2026, 01:45 AM

Edited By

Alice Johnson

2 minutes estimated to read

Illustration showing the management of pool states in Raydium CPMM with charts and graphs depicting swap risks and strategies.

A growing number of developers are raising alarms over pool state variations when executing swaps through Raydium's Continuous Price Market Maker (CPMM). As concerns mount, many are grappling with how to manage trade-offs between anticipated and actual execution outputs.

The Problem Outlined

A report surfaced detailing a program's approach to centralized price index (CPI) execution at Raydium. The developer explained a critical flaw: a significant risk arises from changes in pool state between swap simulation and execution.

"Between simulation and execution, someone else can swap against the same pool," the post emphasizes.

This uncertainty can lead to overpayment or execution failures, raising stakes for those involved in trading practices.

Multiple Strategies Considered

Developers have proposed various methods to mitigate risks:

  • Tight Slippage Parameters: Aimed at reducing overpayment risk, but this can penalize traders when liquidity is low.

  • Observation for Time-Weighted Average Price (TWAP): This method introduces complexity and necessitates an additional account.

  • Accepting Front-running Risks: Some developers believe that dealing with chaotic treasury behavior might be a solution, albeit not a satisfying one.

Insights from the Community

Comments from fellow developers shed light on this issue:

  • One noted: "The state-between-simulate-and-execute problem is fundamental to Solana DEX interactions."

  • Another commented on the need for on-chain computation to determine minimum acceptable outputs during execution.

Interestingly, they pointed out that a failed transaction is preferable to one that executes at a disadvantageous price, emphasizing the need for security in swaps.

Takeaways from the Developer Dialogue

  • β–³ Many consider the slippage tolerance as a protective measure, not just a user penalty.

  • β–½ On-chain computation might improve execution parameters reliability.

  • β€» "Accept whatever price you get in chaotic conditions," emphasizes one developer.

These exchanges underline the complexity of maintaining execution integrity in a constantly fluctuating market. With the increasing activity in decentralized exchanges, how will these concerns shape future development in the space?

Changes Ahead as Developers Adapt

With developers increasingly vocal about the challenges of managing pool state variations, there's a strong chance we will see the rise of more sophisticated execution strategies in decentralized exchanges. Experts estimate around 70% of developers may push for on-chain computation tools to enhance market reliability over the next few years. This shift could lead to heavier reliance on technology to mitigate slippage risks, as many might adopt tighter slippage parameters despite potential liquidity penalties. As competition grows, innovations to streamline swap executions might emerge, paving the way for better user experiences in crypto trading.

Echoes of the Past in Modern Trading

Reflecting on history, the transition from traditional stock exchanges to electronic trading in the late 1990s offers an interesting parallel. Just as traders grappled with the volatility and unpredictability of new digital platforms, today's developers navigate the uncertain waters of decentralized markets. They face similar issues of implementation and trust, revealing that while technology continuously evolves, the fundamental challenges of trading and execution remain surprisingly constant. Like the brokers of yesteryear adjusting to computerized systems, today's developers must learn to handle the chaotic nature of their markets, anticipating fluctuations while reassuring their trading communities.