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Home » Fintech

Bybit Launches AI Marketplace for Yield Strategies

Published on: July 13, 2026, 9:01 AM EDT
Kelvin Scott
Finance News Analyst • 636 Articles
Kelvin Scott, with over 8 years of experience, covers the latest trends in digital assets, financial markets, and regulatory developments. W... See full bio
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Bybit Skills Marketplace Launch
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Bybit launched a Skill Marketplace inside its AI Skill Hub on July 13, 2026, adding three automated AI Earn Skills for yield-focused trading. The Crypto Exchange leader calls itself the world’s second-largest cryptocurrency exchange by trading volume.

Key Takeaways

  • Bybit added three AI Earn Skills, per Bybit’s announcement, to its AI Skill Hub: Dual Asset Smart DCA, AI Event Double-Win, and Risk Parity Yield Optimizer.
  • The Dual Asset Smart DCA tool automatically buys dual-asset products when prices drop below set thresholds, targeting long-term accumulation.
  • The AI Event Double-Win Strategy monitors major market catalysts and times entries into double-win products around those events.
  • The Risk Parity Yield Optimizer rebalances holdings across savings, liquidity mining, dual-asset, and double-win products by real-time yield, per Bybit’s product description.
  • Bybit says it serves more than 80 million users worldwide, a scale that puts it near the top of Crypto Exchange Market Share rankings, and plans to add more Skills to the marketplace.

What Happened?

Bybit’s announcement frames the marketplace as an expansion of its existing AI Skill Hub rather than a standalone product. According to Bybit, the marketplace expands the capabilities of Bybit’s data-driven AI ecosystem, delivering intelligent solutions tailored to crypto yield optimization.

Each of the three Skills targets a different trading behavior. The Dual Asset Smart DCA strategy automates dip buying on dual-asset products, a structured product type that pays a yield in exchange for settlement risk between two assets. The AI Event Double-Win Strategy shifts that same automation toward event-driven timing, scanning news catalysts to size positions in double-win products, another structured product tied to price ranges around a set event.

The Risk Parity Yield Optimizer works differently. Instead of timing entries, it continuously reallocates a user’s balance across savings, liquidity mining, dual-asset, and double-win products based on real-time yield rates, aiming for a more diversified risk-adjusted return, per Bybit’s description, echoing the yield-chasing behavior in DeFi Market.

Bybit says all three Skills are live now for eligible traders and describes the launch as a step toward “the age of AI-powered trading,” with additional Skills expected on the same marketplace over time.

How the Skills Differ From Manual Trading?

The mechanical distinction Bybit is selling is automation of decision timing, not a new product class. Dual-asset and double-win products already exist on Bybit’s earn platform, and a trader could run the same dip-buying or event-timing logic manually.

What the AI layer changes is execution speed and consistency. Bybit says the Skills come with built-in risk management safeguards and detailed guidance on strategy parameters and potential outcomes, while leaving users in control of their own strategy parameters and risk tolerance.

That framing matters because none of the three Skills eliminates the underlying product risk. Dual-asset and double-win products carry settlement and market risk regardless of whether a human or an algorithm times the entry. Automating the entry point does not automate away the possibility of loss if prices move against the position.

Why This Fits Bybit’s Competitive Position?

Bybit is not introducing a new asset class here. It is repackaging existing dual-asset and double-win earn products behind an AI decision layer, which costs far less to build than new structured products and gives the exchange a fresh feature to market to its existing base. Yield products remain a core competitive lever among major exchanges, and market-share rankings show that lever matters more as trading fee competition compresses margins across the sector.

Framing automation as “AI Skills” is also a retention play aimed at retail traders who want structured yield exposure without actively monitoring price thresholds, rather than a technical leap in what the products themselves can do.

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CoinLaw’s Takeaway

This release solves a retention problem more than a yield problem. Bybit already offered dual-asset and double-win products; what it is adding is a decision layer that removes the manual monitoring those products previously required, which lowers the effort barrier for casual users who wanted structured yield exposure but did not want to watch price thresholds all day. The people who benefit most are traders already comfortable with dual-asset and double-win mechanics who lacked the time to run the strategies manually, not newcomers to structured crypto products.

The release does not publish backtested performance data, historical win rates, or a fee schedule for any of the three Skills, and none of that appears in the announcement. Automated timing does not change the settlement risk built into dual-asset or double-win products, and a system that “helps users allocate reasonable position sizes” is still exposing users to the same downside the underlying product carries. Traders evaluating this marketplace should treat the AI layer as a convenience feature layered on existing risk, not a new safeguard against it.

This article has been reviewed and fact-checked by Barry Elad. CoinLaw follows strict Publishing Principles and a documented Fact-Check Policy to ensure accuracy, transparency, and editorial independence across all content.

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Kelvin Scott

Kelvin Scott

Finance News Analyst


Kelvin Scott, with over 8 years of experience, covers the latest trends in digital assets, financial markets, and regulatory developments. With a strong focus on accuracy and clarity, he delivers timely updates to help readers navigate the fast-changing world of crypto and finance. An avid football fan, he never misses a chance to watch a good match, whether it’s Premier League drama or a local game.

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Table of Contents

  • Key Takeaways
  • What Happened?
  • How the Skills Differ From Manual Trading?
  • Why This Fits Bybit’s Competitive Position?
  • CoinLaw’s Takeaway
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