MINIMAX-W 00100.HK (MINIMAX) Stock Price Today—Real Time Charts and Quotes

Q: What are the 52-week high and low prices for MINIMAX-W 00100.HK (MINIMAX)?

MINIMAX has a 52-week high of $0 and a 52-week low of $0, with the current price at $0.

Q: What is the price-to-earnings (P/E) ratio of MINIMAX-W 00100.HK (MINIMAX)? What does it indicate?

The current P/E ratio (TTM) of MINIMAX is 0, indicating how much investors pay for each dollar of earnings. A higher P/E ratio often reflects stronger growth expectations, while a lower P/E ratio may suggest a more attractive valuation or slower growth. Comparing it with the average P/E of the -- industry for a better context.

Q: What is the market cap of MINIMAX-W 00100.HK (MINIMAX)?

MINIMAX-W 00100.HK (MINIMAX) currently has a market cap of approximately $0.

Q: What is the most recent quarterly earnings per share (EPS) for MINIMAX-W 00100.HK (MINIMAX)?

MINIMAX-W 00100.HK (MINIMAX)'s diluted earnings per share (Diluted EPS) is --. EPS = Net Income / Total Diluted Shares, which is a key metric for measuring a company's profitability.

Q: Should you buy or sell MINIMAX-W 00100.HK (MINIMAX) now?

As of now, MINIMAX is trading at $0, with a P/E ratio of 0 and a diluted EPS of --. Your buy or sell decisions should be based on your investment goals and risk tolerance. We recommend making an overall judgment by considering MINIMAX-W 00100.HK's financial reports, the outlook of the -- sector, and your own holdings. Investing involves risk—please make decisions prudently.

Q: What factors can affect the stock price of MINIMAX-W 00100.HK (MINIMAX)?

Key factors include: company quarterly reports (revenue, EPS), competition and trends in the -- sector, macroeconomic environment (interest rate, inflation), market sentiment, as well as major events like product releases and mergers & acquisitions.

Q: How to buy MINIMAX-W 00100.HK (MINIMAX) stock?

You can buy MINIMAX-W 00100.HK (MINIMAX) through Gate. Sign up for a Gate account and complete identity verification, then go to the MINIMAX-W 00100.HK trading page to make a purchase. Gate supports fractional share trading, so you can start investing without buying a whole share.

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*Data last updated: 2026-04-13 19:08 (UTC+8)

As of 2026-04-13 19:08, MINIMAX-W 00100.HK (MINIMAX) is priced at $0, with a total market cap of --, a P/E ratio of 0,00, and a dividend yield of %0,00. Today, the stock price fluctuated between $0 and $0. The current price is %0,00 above the day's low and %0,00 below the day's high, with a trading volume of --. Over the past 52 weeks, MINIMAX has traded between $0 to $0, and the current price is %0,00 away from the 52-week high.

MINIMAX Key Stats

P/E Ratio0,00

Dividend Yield (TTM)%0,00

Shares Outstanding0,00

Learn More about MINIMAX-W 00100.HK (MINIMAX)

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MINIMAX-W 00100.HK (MINIMAX) FAQ

What's the stock price of MINIMAX-W 00100.HK (MINIMAX) today?

MINIMAX-W 00100.HK (MINIMAX) is currently trading at $0, with a 24h change of %0,00. The 52-week trading range is $0–$0.

What are the 52-week high and low prices for MINIMAX-W 00100.HK (MINIMAX)?

What is the price-to-earnings (P/E) ratio of MINIMAX-W 00100.HK (MINIMAX)? What does it indicate?

What is the market cap of MINIMAX-W 00100.HK (MINIMAX)?

What is the most recent quarterly earnings per share (EPS) for MINIMAX-W 00100.HK (MINIMAX)?

Should you buy or sell MINIMAX-W 00100.HK (MINIMAX) now?

What factors can affect the stock price of MINIMAX-W 00100.HK (MINIMAX)?

How to buy MINIMAX-W 00100.HK (MINIMAX) stock?

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MINIMAX-W 00100.HK (MINIMAX) Latest News

2026-04-12 15:01

Moore Threads MTT S5000 GPU completes MiniMax M2.7 model adaptation

Gate News message: On April 12, Moore Threads announced that its AI training and inference integrated GPU MTT S5000 has completed Day-0 adaptation for the MiniMax M2.7 large model. This adaptation demonstrates the technical support capability of domestic GPUs for AI large models.

2026-04-12 04:49

MiniMax announced that the M2.7 model is officially open-sourced, with multiple benchmark tests achieving SOTA performance

Gate News, April 12, MiniMax announced that MiniMax M2.7 has now been officially open-sourced. The model achieved a score of 56.22% on the SWE-Pro benchmark and 57.0% on the Terminal Bench 2 benchmark, both reaching SOTA (state-of-the-art, current best) performance. Users can now access the model on Hugging Face. MiniMax-M2.7 is its first model that deeply participates in its own evolution process; it can build complex agent frameworks and use an agent team, advanced skills, and dynamic tool search capabilities to complete highly complex productivity tasks.

2026-04-09 03:35

MiniMax launches the all-modal command-line tool MMX-CLI, designed specifically for AI agents

Gate News message, April 9, MiniMax released a new product MMX-CLI, a fully multimodal command-line tool designed specifically for AI Agents, aiming to let Agents conveniently and reliably call MiniMax’s various AI capabilities. The product’s design goal is to let Agents use MiniMax’s different capabilities in the most natural way—“execute commands, get results”—so they can complete complex automated workflows in Agent environments such as Claude Code and OpenClaw. This toolset integrates MiniMax’s fully multimodal model capabilities, and Agents can call it via the command line. Meanwhile, to address the issues that ordinary command-line tools can easily encounter in Agent automation environments, MMX-CLI makes three key design choices: output isolation and a pure data mode (send human-friendly information such as progress bars to the standard error stream, while the standard output stream provides only clean file paths or JSON data to prevent interfering with an Agent’s parsing); semantic status codes (assign distinct exit codes for different failure types such as authentication failure and parameter errors, so the Agent can determine the error type without parsing text and decide whether to retry); non-blocking and asynchronous task control (if parameters are missing, it reports an error and exits directly to avoid tasks hanging; it provides a --async flag to support asynchronous mode, allowing the Agent to submit long-running tasks and process other transactions in parallel).

2026-04-02 02:02

Hong Kong stocks: Most OpenClaw concept stocks fall; Zhipu drops more than 15%

Gate News message, April 2, Hong Kong stock OpenClaw concept stocks (AI open-source model related concepts) mostly fell. Zhipu (02513.HK) fell more than 15%, MINIMAX-W (00100.HK) fell more than 9%, Kingsoft Cloud (03896.HK) and Xiaomi Group (01810.HK) fell more than 3%, Alibaba (09988.HK) and Meituan (03690.HK) fell more than 2%.

2026-03-29 05:05

OpenClaw releases v2026.3.28: OpenAI/Codex apply_patch enabled by default, new xAI x_search and MiniMax image generation added.

According to 1M AI News monitoring, the open-source AI agent tool OpenClaw has released v2026.3.28. This version includes two breaking changes: the removal of the deprecated Qwen OAuth integration for portal.qwen.ai, and the cessation of automatic migration for old configurations from two months ago, where outdated legacy keys will result in direct validation failures. The new version also switches the built-in xAI provider to the Responses API, adds first-class x_search; includes MiniMax image-01 for image generation and image editing; supports asynchronous requireApproval approval processes for plugins; and defaults to enabling apply_patch for OpenAI and OpenAI Codex models. In addition, this update also adds Gemini CLI backend support and fixes issues related to Anthropic crash reasons, Gemini 3.1 alias resolution, and Codex image understanding.

Hot Posts About MINIMAX-W 00100.HK (MINIMAX)

Bykaranteli

2 hours ago

JUST IN: NVIDIA’s MiniMax M2.7 boosts AI workflows with scalable MoE architecture and open-source integrations. If adoption accelerates, expect broader AI workflow efficiency across crypto analytics and on-chain tooling. $NVDA

K-LinePoet

9 hours ago

Hong Kong stocks' large models and AI application sectors collectively opened higher, with Zhipu opening nearly 15%, MINIMAX-W opening over 8%, and Kingsoft Cloud, Kingsoft Software, and Tencent Holdings all opening higher.

GasFeeCryer

16 hours ago

I just came across a pretty interesting study. Thirty-six top AI models were used in an experiment where they had to choose which currency to use across more than 9,000 economic scenarios. The results were somewhat surprising—these AI systems repeatedly selected Bitcoin instead of traditional fiat currencies like the US dollar or the British pound. The research team involved AI models developed by companies such as OpenAI, Google, Anthropic, xAI, DeepSeek, and MiniMax. They didn't steer the models toward any particular choice; instead, they let the AI evaluate based on objective criteria like reliability, transaction costs, programmability, censorship resistance, and store of value. The outcome? Bitcoin accounted for 48.3%, stablecoins 33.2%, and traditional bank currencies only 8.9%. Most astonishingly, none of the AI models considered fiat currencies the optimal choice—over 90% of the responses favored cryptocurrencies. Interestingly, the decision logic of AI in different scenarios was quite clear. When asked about long-term storage of value, 79.1% of AI chose Bitcoin—that was the most consistent result across the experiment. The reason makes sense: Bitcoin’s fixed supply and decentralized design give it a significant advantage in assessing store of value. But in everyday payment and small transfer scenarios, AI tended to prefer stablecoins because they are less volatile, settle faster, and are more practical. This actually reflects a pretty realistic phenomenon: AI inadvertently constructs a two-tier currency system—Bitcoin as digital gold, stablecoins as transaction tools. This logic has already been practiced within the crypto ecosystem. However, it’s important to note that AI models from different companies showed significant variation. Some had a 68% bias toward Bitcoin, while others only 26%. Researchers believe this may stem from differences in training data and model design—after all, language models are trained on vast amounts of human conversations and economic stories, and the way cryptocurrencies are portrayed in these data sets will influence AI judgments. From a broader perspective, this study touches on an emerging trend. As AI becomes increasingly programmed as autonomous agents executing economic activities—such as online trading, negotiations, or calculations—the design logic of currencies might truly change. Some developers are already experimenting with enabling AI to acquire computing power and data via Bitcoin’s Lightning Network. Cryptocurrencies, being inherently programmable, cross-border, and accessible via APIs, offer natural advantages for machine-to-machine economies. Of course, there are skeptics. Critics point out that this is just an experiment with 36 models, a limited sample size. Moreover, AI choices are fundamentally based on statistical patterns in training data, not on real market trends or independent rational judgment. The research team themselves admit that these findings cannot directly predict future currency movements. But most observers believe that this study points toward a direction: as AI plays an increasingly important role in the digital economy, the design of monetary systems may evolve accordingly. This could be a noteworthy signal for the entire cryptocurrency ecosystem.

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