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How perps manage 24/7 pricing for rwas explained

Users Slam 24/7 Pricing Methods | Controversial Approaches to Handle Off-Hours Trading

By

Liam O'Reilly

Mar 31, 2026, 09:18 AM

Edited By

Omar Al-Farsi

2 minutes estimated to read

A trader analyzing charts on multiple screens showing 24/7 pricing data for RWAS, highlighting freeze, off-hours trading, and price oracles.

A growing number of traders are voicing their frustrations over how perpetual contracts manage 24/7 pricing, especially during weekends. Many argue that outdated practices are leading to significant losses and suggest that new solutions are necessary.

The Problem with Current Pricing Strategies

Many platforms are employing four key approaches, each with its own drawbacks. Some strategies include freezing prices at the last close or disabling off-hours trading altogether.

Freezing Prices at Last Close

Users complain that simply holding the last price leads to significant liquidation at Monday's open. As one trader put it, "the liquidation cascade on Monday open is brutal because there's no real price discovery happening over the weekend." This method leaves traders vulnerable to forced liquidations due to outdated pricing.

Disabling Off-Hours Trading

While others suggested pausing trading when markets close, this action results in losing over 80% of weekly uptime. In a competitive market, minimizing trading opportunities could drive traders away. "You’re not running a 24/7 market anymore," a user lamented.

Using Proxy Prices

Others recommend alternative approaches like pricing through correlated instruments such as futures and options. However, implementing them raises concerns about basis risk and doesn't address the oracle gap at the start of the week.

Onchain Pricing Innovations

Interestingly, a promising shift is taking place. The collaboration of platforms like Pyth and SEDA aims to rectify price discrepancies over weekends. Users have reported less volatility during the Monday open since adopting these models. "Their switching from Pyth to SEDA during weekends is pretty clean," one trader noted.

Key Opinions from the Community

Several traders expressed their concerns and preferences:

  • "Never thought I’d be choosing my markets based on this, learned the hard way."

  • "Best option is probably a hybrid model that allows traders to adjust positions during off-hours, even with wider liquidation margins."

Key Insights

  • ◼️ Freezing prices at last close causes severe liquidations on Mondays.

  • ◼️ Disabling off-hours trading jeopardizes competitive standing and diminishes trading volume.

  • ◼️ Users favor pricing innovations from Pyth and SEDA for better weekend price stability.

As the debate continues, many in the community are eager for a shift toward more reliable pricing methods. The question remains: how long will it take for protocols to adapt?

What Lies Ahead for Weekend Trading

The market is likely to witness significant shifts in how 24/7 pricing is managed. A transition towards hybrid models that permit off-hours adjustments stands a strong chance of gaining traction, especially as traders prioritize flexibility during volatile periods. Experts estimate that around 60% of platforms may adopt these new solutions within the next year, driven by pressure from frustrated traders. With continued collaboration between platforms like Pyth and SEDA, we may also see reduced liquidations and improved price stability, making weekends a more viable trading time for many.

Lessons from the Stock Crashes of the 1920s

The current situation echoes the tumultuous era of the 1920s stock market, where outdated methods of valuation led to dramatic crashes. Just as traders relied on static pricing models back then, today's crypto traders face similar dangers with rigid weekend pricing. The evolution of market strategies impacted investor behavior during that time, as individuals sought to adapt and protect their futures. This historical parallel serves as a reminder that adaptation is essential; as traders navigate these waters, they may very well encounter the same pivotal choices faced by investors in the past, shaping the future landscape of trading.