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Top Crypto Gainers and Losers This Week

Top gainers and losers

In the year 2026, the cryptocurrency market remained a mix bag when it comes to the most popular virtual assets. If we look at the majors, they were more or less steady, but on the contrary, altcoins revealed a strong divergence. The money was moving from the privacy, DeFi, and exchange-related tokens, which were consistently under selling pressure, to the AI-driven projects and high-performance layer 1 blockchains. The whole scenario created more of a selective market than a widespread rally.

Top Gainers

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7 day chart- Render

The week was heavily influenced by narratives around AI and scalability. Render (RENDER) was at the forefront of the increase and enjoyed almost a 48% gain, with great trading volume being its primary support. The challenging GPU computing via decentralization, which is becoming the most common method of AI workload management and digital content making, is still attracting investor interest.

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7 day chart- POL

POL, which used to be MATIC, saw a spike of more than 32 percent as trust was restored to Ethereum’s scaling solutions. A network update and a budding ecosystem made Polygon gain strength again, with inconsistent trading volume indicating long-term holding rather than short-lived speculation.

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7 day chart- SUI

Sui (SUI) has made significant progress of about 18% and has been one of the large-cap altcoins with the highest volume. Its architectural design that allows for high throughput and its increasing participation in the areas of gaming and DeFi are making it more competitive among the layer 1 contenders of the future.

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7 day chart- ATOM

The rise of Cosmos Hub (ATOM) by 17.9% signals a constant and robust demand for the interoperability infrastructure. With a surge in cross-chain transactions, Cosmos is still enjoying the advantage of being the prime facilitator among various blockchains.

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7 day chart- TAO

Bittensor (TAO) saw an increase of almost 17%, which has further contributed to the general superior performance of the AI-associated tokens. The demand for decentralized machine learning and data markets continues to be a vibrant force pushing the project forward.

Top Losers

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7 day chart- NIGHT

The assets that prioritized privacy faced the toughest times. The price of Midnight (NIGHT) fell by more than 20 percent during the period of uncertainty regarding privacy technologies as a result of regulation, but the volume of trading indicates that the market still stays engaged.

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7 day chart- ZEC

Heavy volume couldn’t help Zcash (ZEC) as it dropped almost 15 percent. This was a signal of profit-taking and not a downturn in demand. Newer privacy protocols are still competing with the old ones and are putting pressure on them.

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7 day chart- CANTO

Canto (CANTO) experienced a decline of over 13 percent as DeFi infrastructure tokens lost their appeal. The lack of active traders further magnified the fall.

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7 day chart- SKY

Sky (SKY) also suffered, falling by nearly 10 percent; thus, the governance and stablecoin-related assets were regarded as less attractive.

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7 day chart- LEO

LEO Token’s drop of just over 6 percent, in line with the general decline of exchange-linked tokens, was nonetheless modest.

Market Takeaway

A significant shift in crypto markets was observed this week. The market is now prioritizing AI, scalability, and high-performance blockchains, leaving privacy and utility tokens still under pressure. The selection of the momentum is still set, with the investors getting into the stories that are driven by the innovation rather than by the whole market.

Disclaimer: All content provided on Times Crypto is for informational purposes only and does not constitute financial or trading advice. Trading and investing involve risk and may result in financial loss. We strongly recommend consulting a licensed financial advisor before making any investment decisions.

Harshit Dabra holds an MCA with a specialization in blockchain and is a Blockchain Research Analyst with 4+ years of experience in smart contracts, Solidity development, market analysis, and protocol research. He has worked with TheCoinRepublic, Netcom Learning, and other notable crypto organizations, and is experienced in Python automation and the React tech stack.

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