*Data last updated: 2026-04-28 00:53 (UTC+8)
As of 2026-04-28 00:53, Atlassian (TEAM) is priced at $69,68, with a total market cap of $18,21B, a P/E ratio of -207,12, and a dividend yield of %0,00. Today, the stock price fluctuated between $68,83 and $71,95. The current price is %1,23 above the day's low and %3,15 below the day's high, with a trading volume of 5,72M. Over the past 52 weeks, TEAM has traded between $56,01 to $242,00, and the current price is -%71,20 away from the 52-week high.
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Gate Learn Articles
Governance Scandal Rocks Across: $23M Misused and Votes Manipulated by the Team?
The founder of Glue publicly accused the cross-chain bridge protocol Across team of manipulating DAO votes and misappropriating $23 million, raising widespread concerns about the transparency of decentralized governance mechanisms and the centralization of power.
2025-07-02
Pi Price Prediction: Stabilizing Above $0.40, How the Core Team Maintains the Bottom Line
The price of the Pi Network recently fell from $2.79 to about $0.49, but due to the core team controlling 90% of the supply and adjusting the unlocking progress, the price has stabilized above $0.40. Analysis of future market trends.
2025-07-08
In-depth analysis of Trump team's decentralized lending project WLF: Token allocation and fundraising methods
As the latest exploration of Trump's team in the cryptocurrency field, WLF aims to leverage blockchain technology to provide users with decentralized lending services. The core of the project is the governance token WLFI, which operates on the Ethereum blockchain and is managed and operated in a decentralized manner.
2024-09-30
Blogs
Gate Ventures Weekly Crypto Recap (April 27, 2026)
Resilient economic data and expectations of a "higher-for-longer" Federal Reserve policy stance pushed the 10-year U.S. Treasury yield to 4.31%.
2026-04-27
KelpDAO Hack Fallout: How Aave Contained 80% of the $200 Million Bad Debt
KelpDAO suffered a $292 million loss due to a hack, while Aave saw $8.45 billion in outflows within 48 hours. DeFi United has raised $160 million, covering nearly 80% of the bad debt gap.
2026-04-27
Japanese Corporate Bitcoin Treasury Strategy: Metaplanet Raises $50 Million Through Zero-Coupon Bonds to Buy BTC
Japanese publicly listed company Metaplanet has allocated the entire $50 million raised from its 20th zero-coupon bond issuance to purchase BTC. With this move, Metaplanet’s total holdings have reached 40,177 BTC, making it the third-largest public company holder of Bitcoin globally.
2026-04-27
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Atlassian (TEAM) Latest News
ZetaChain Launches Anuma, a Privacy-Focused AI Aggregation Platform
Gate News message, April 28 — ZetaChain's team has officially launched Anuma, a privacy-focused AI aggregation platform that enables users to access multiple AI models—including GPT, Claude, Gemini, Grok, DeepSeek, Kimi, and Qwen—through a single interface. Anuma features local privacy storage, multi-model collaboration, and a unified context memory system across different models. The platform's web interface is now open for use.
2026-04-27 23:49ZetaChain GatewayEVM Contract Exploited, Cross-Chain Transactions Halted
Gate News message, April 27 — ZetaChain announced that its GatewayEVM contract was exploited on April 28, affecting only internal team wallets. The team has sealed off the attack vector to prevent further fund loss, and no user funds were impacted by the incident. As a precautionary measure, ZetaChain has paused cross-chain transactions while the investigation continues. The platform will publish a detailed post-mortem report once the investigation is complete. Current status updates are available on the project's official tracking page.
2026-04-27 15:13Solana Selects Falcon for Post-Quantum Cryptography, Migration Preparations Complete
Gate News message, April 27 — Solana's official team published a comprehensive quantum computing roadmap, reaffirming that quantum threats remain years away while the ecosystem has already completed extensive research and technical preparation. Two independent validator client development teams, Anza and Firedancer (collectively representing a significant portion of network stake), have independently determined the need for a signature-compact post-quantum digital signature scheme suitable for high-throughput blockchains. Both teams selected the Falcon scheme and have published initial implementation code on GitHub. Additionally, Solana Winternitz Vault, developed by Blueshift, has been running in the ecosystem for over two years, providing a direct quantum-resistant pathway. Earlier this year, Google Quantum AI cited the Vault as a leading case of forward-thinking post-quantum work in its whitepaper. Solana's current quantum roadmap includes three components: continuing quantum research and evaluating Falcon and alternative approaches; adopting post-quantum schemes for new wallets when quantum becomes a credible threat; and migrating existing wallets to the selected scheme. The network stated that migration work is manageable and can be completed rapidly, with network performance expected to remain unaffected.
2026-04-27 14:00Lagrange Team Multisig Distributes 55.7M LA Tokens to 5 Addresses, Representing 28.86% of Circulating Supply
Gate News message, April 27 — According to Arkham data, Lagrange (LA) team's multisig address distributed approximately 55.70 million LA tokens to 5 addresses one minute ago, valued at around $8.91 million. LA currently trades at $0.1599, down 4.38% in the past 24 hours. With a circulating supply of 193 million tokens, the distributed amount represents 28.86% of total circulation. The token's current market capitalization stands at approximately $30.87 million.
2026-04-27 07:17Alibaba's PAI Releases Open-Source AgenticQwen Model: 8B Version Approaches 235B Performance via Dual Data Flywheels
Gate News message, April 27 — Alibaba's PAI team has released and open-sourced AgenticQwen, a small-scale agentic language model designed for industrial-grade tool-calling applications. The model comes in two versions: 8B and 30B-A3B. Trained through an innovative "dual data flywheel" reinforcement learning framework, AgenticQwen achieves near-trillion-parameter model-level agentic capabilities while significantly reducing inference costs. The dual data flywheel mechanism addresses the homogenization problem in traditional synthetic data. The reasoning flywheel automatically generates harder variants from model errors, while the agentic flywheel expands simple linear workflows (such as single booking processes) into multi-branch behavior trees with constraints, rejections, and adversarial conditions, simulating real-world complex decision scenarios. Benchmarks show AgenticQwen-8B scored 47.4 on real tool environment benchmarks (TAU-2 and BFCL-V4), far exceeding the base Qwen3-8B (23.8) and approaching Qwen3-235B (52.0). AgenticQwen-30B-A3B (with only 3B parameters activated) achieved 50.2. The model has been deployed in internal production systems similar to Manus, significantly narrowing the gap with 235B models in end-to-end inference time. However, the model is limited by a native context length of 40K tokens, which constrains its performance on deep search tasks.





























































































































































































































































































































