Pi Network Token Slides as Trade Tensions and Unlocks Pressure Price

TheNewsCryptoОпубликовано 2026-01-19Обновлено 2026-01-19

Введение

Pi Network's native token, PI, declined sharply, approaching its October all-time low due to increased US-EU trade tensions and significant daily token unlocks. The price dropped roughly 8-9% in 24 hours to around $0.178. Geopolitical uncertainty escalated after the US announced new tariffs targeting eight countries, prompting an emergency EU meeting. Reports indicate French President Macron called for a "trade bazooka" against US market access. Additionally, over 4.6 million tokens are being released daily, creating substantial selling pressure as investors gain access to previously locked coins. The token, which missed the January crypto rally, remains highly volatile amid these combined pressures.

The PI token of Pi Network fell toward its October low as US-EU trade tensions increased and more than 4.6 million daily unlocks ignited increasing selling pressure. The native token has fallen heavily over a 12-hour period, going near its October all-time low after weeks of price inactivity, as per the market data.

At the time of writing, PI is hovering about 0.178 USD, down about 8-9% in the past 24 hours. The fall of the token coincides with wider market unpredictability ignited by increasing trade tensions between the United States and the European Union.

The President of the United States publicised a new set of tariffs against 8 countries as part of efforts to buy Greenland from Denmark, as per the official statements. The European Union replied by setting an emergency meeting.

The Volatility Faced by Pi Token

The President of France, Emmanuel Macron, asked for the union to position a “trade bazooka” that would substantially limit U.S. access to European markets, as per the report. In the beginning, the crypto market became stable as these geopolitical developments opened out but did not agree when Asian stock markets and futures opened, market data showed.

The Pi token, which had been influenced by volatility at the time of the last market fluctuations, faced potential losses at the time of this episode. The token was not a part of the January rally when the price of Bitcoin increased and a number of altcoins showed double-digit percentage gains, as per the price data.

The schedule of token unlock may show price instability, as per the industry analysts. The PiScanUnlock data reveals that the average number of daily token unlocks surpassed 4.6 million, which could create selling pressure as investors get access to the last locked coins. The Pi Network attained its previous all-time low in October, as per historical price records.

Highlighted Crypto News Today:

Canaan Risks Nasdaq Delisting as Shares Slip Below $1 Again

TagsCryptoPiPi Network

Связанные с этим вопросы

QWhat are the main factors contributing to the decline of Pi Network's token price?

AThe decline is attributed to increasing US-EU trade tensions and over 4.6 million daily token unlocks creating significant selling pressure.

QWhat was the price of PI token at the time of writing and how much did it drop in 24 hours?

AAt the time of writing, PI token was hovering around $0.178, down approximately 8-9% in the past 24 hours.

QHow did the European Union respond to the new US tariffs announced against 8 countries?

AThe European Union responded by setting an emergency meeting to address the new tariffs.

QWhat specific measure did French President Emmanuel Macron propose regarding US-European trade relations?

AEmmanuel Macron asked the European Union to position a 'trade bazooka' that would substantially limit U.S. access to European markets.

QHow many daily token unlocks were occurring according to PiScanUnlock data, and what concern does this raise?

APiScanUnlock data revealed that average daily token unlocks surpassed 4.6 million, which could create selling pressure as investors gain access to previously locked coins.

Похожее

Claude Opus 4.8 Finds a $4.5 Billion Bug: The AI Era is Mass-Producing Hackers

A researcher discovered a critical "infinite mint" vulnerability in the Zcash cryptocurrency's Orchard protocol using Claude Opus 4.8, leading to a swift fix but also a 50% market drop, erasing billions in value. This incident highlights a new era where powerful, accessible AI models are dramatically lowering the barrier to finding software vulnerabilities. Previously, the security community feared specialized models like Claude Mythos Preview, capable of finding decades-old zero-day exploits. The Zcash case, however, involved a publicly available, general-purpose model. This shift makes advanced security auditing—and attack capabilities—accessible to far more people, not just experts. The mass democratization of vulnerability discovery brings a dual challenge: a flood of low-quality, AI-generated false reports that overwhelm maintainers, and the real, rapid uncovering of deep, dangerous bugs. Open-source projects, often understaffed and unfunded, are particularly vulnerable to this "attention DDoS." The article cites examples like curl shutting down its bug bounty program due to the unsustainable workload. Our perceived digital safety has often been luck, relying on the high cost and effort required to find deeply hidden flaws in complex systems, as seen with historical vulnerabilities like Heartbleed or Baron Samedit. AI changes this cost structure, effectively "mass-producing flashlights" to illuminate every corner of our codebase. While large companies operate extensive security chains involving external white-hat hackers and massive defensive operations, the global cybersecurity workforce faces a severe shortage, especially of experienced personnel capable of analyzing complex threats and coordinating fixes. The core dilemma emerges: AI makes *finding* bugs cheap and scalable, but *fixing* them remains a slow, expensive, and human-intensive process. The article concludes that AI won't destroy the internet but acts as a bright light, revealing that our digital existence is not inherently secure but is precariously maintained by ongoing human effort. The true cost in the AI era may not be discovery, but whether there will be enough people left willing and able to do the hard work of repair.

marsbit4 мин. назад

Claude Opus 4.8 Finds a $4.5 Billion Bug: The AI Era is Mass-Producing Hackers

marsbit4 мин. назад

Codex Goal Mode Usage Guide: How to Make AI Continuously Pursue a Specific Objective

"Codex Goal Mode: How to Make AI Work Continuously Toward a Specific Goal" OpenAI's Codex "goal mode" (/goal) transforms the AI from a reactive code assistant into a proactive execution agent capable of working autonomously for hours or even days to achieve a defined objective. To maximize its effectiveness, follow these key principles: 1. **Define Clear, Verifiable Exit Criteria:** The goal prompt should be a concise, measurable success condition, not a lengthy specification. Use quantifiable metrics like "reduce build time by 30%" or "achieve 100% test parity." 2. **Provide Initial Guidance and Tools:** Direct Codex toward likely problem areas and specify available tools (e.g., browsers, testing environments) to prevent it from exploring unproductive paths. 3. **Enable Progress Measurement:** Equip Codex with ways to track advancement, such as creating comparison tools for visual tasks or evaluation sets, ensuring it can gauge its own progress. 4. **Use a Realistic Execution Environment:** For tasks like performance optimization, provide access to environments that closely mimic production (e.g., similar configs, databases) to yield valid results. 5. **Be Cautious with Visual Goals:** Avoid vague "pixel-perfect" instructions. Instead, supplement visual references with functional checklists or design system specifications to prevent Codex from obsessing over minor details. 6. **Implement Progress Tracking:** For long-running tasks, have Codex commit code to draft PRs, update progress documents, or send Slack updates to maintain visibility into its work. 7. **Review and Consolidate Results:** Once the goal is met, instruct Codex to review its work, clean up ineffective experimental code, and reflect on what strategies succeeded or failed. Ultimately, using goal mode shifts the developer's role from writing prompts to managing a persistent engineering agent—defining objectives, establishing metrics, configuring environments, and conducting final reviews.

marsbit1 ч. назад

Codex Goal Mode Usage Guide: How to Make AI Continuously Pursue a Specific Objective

marsbit1 ч. назад

From Ethereum to AI's 'CROPS': What Exactly Is This 'Slow Variable' That Vitalik Has Repeatedly Emphasized?

Recently, Vitalik Buterin has frequently emphasized the concept of "CROPS," first outlined in the Ethereum Foundation's March mandate as core principles guiding its focus: Censorship Resistance, Capture Resistance, Open Source, Privacy, and Security. CROPS represents Ethereum's commitment to providing foundational capabilities for user sovereignty—enabling asset ownership, identity expression, and coordination without reliance on centralized platforms or surrendering ultimate control. This framework is gaining new urgency with the rise of AI, particularly AI agents managing digital assets and automating transactions. While AI offers convenience, it risks centralizing user data, intent, and control if dependent on opaque, centralized services. Vitalik argues for "CROPS AI"—AI that is open, privacy-preserving, secure, and capable of local execution to maintain user agency. He highlights convergence between "CROPS Ethereum access layers" and "CROPS AI," such as using zero-knowledge proofs for private remote LLM calls and Ethereum RPC reads, ensuring users can access services without exposing sensitive information. Ultimately, CROPS is not just an abstract ideal but a practical guide for Ethereum's development and AI integration. It addresses the critical long-term question: as digital systems grow more powerful, how can users retain control over their privacy, assets, and autonomy? In an AI-driven era, these principles may define Ethereum's enduring value—prioritizing verifiable, secure, and user-centric design over short-term optimizations like speed and cost alone.

marsbit1 ч. назад

From Ethereum to AI's 'CROPS': What Exactly Is This 'Slow Variable' That Vitalik Has Repeatedly Emphasized?

marsbit1 ч. назад

Торговля

Спот
Фьючерсы
活动图片