Pi Network price prediction: $0.20 still in play as 3 signals align

ambcryptoОпубликовано 2026-03-03Обновлено 2026-03-03

Введение

In mid-February, AMBCrypto cautioned that Pi Network's (PI) 58.1% rally appeared to be buyer exhaustion rather than a bullish reversal. PI was rejected at the $0.20 supply zone and is currently trading at $0.171. Despite the pullback, prices held above the $0.13 local lows, and key indicators suggest limited selling pressure. The 20 and 50-day moving averages are nearing a bullish crossover, with the 20DMA acting as dynamic support. A triangle pattern on the H4 chart indicates an impending breakout. If Bitcoin surpasses and holds above $70k, PI could retest $0.20 and challenge the $0.216 high. The short-term outlook remains cautiously optimistic, contingent on broader market momentum.

In mid-February, AMBCrypto had warned that a Pi Network [PI] rally looked more like buyer exhaustion than a bullish reversal.

During that rally, PI had moved 58.1% higher in 4 days, on the back of high Spot Volume.

However, it ran into the $0.2 supply zone and was unable to overcome it. At the time of writing, PI was trading at $0.171.

The rejection from the overhead supply has come true, but what is likely to follow in March? An argument can be made for a bullish breakout and a long-term trend shift for PI, especially if Bitcoin can push past $70k.

The chances of a PI breakout past $0.2

The rejection from $0.2 did not send PI prices below the $0.13 local lows. Such a scenario would have been a clear signal of bearish intent.

Instead, the altcoin prices fell to $0.16 and rebounded.

At the same time, the OBV did not see a steep drop-off from the mid-February rally levels. This meant that selling pressure was not high. Additionally, the 20 and 50-day moving averages were on the verge of making a bullish crossover.

Over the past week, the 20DMA has served as a dynamic support to Pi Network token prices.

The lack of selling pressure and the challenge of the $0.173 level suggested a move higher could occur in the short-term.

Pi Network short-term price prediction

The H4 local resistance at $0.1788 would likely be a firm test of bullish resolve.

At the time of writing, the altcoin was approaching the apex of a triangle pattern (orange). The direction of the breakout from this chart pattern could determine the next impulse move.

It is possible that a Bitcoin [BTC] short squeeze could give the altcoin market some temporary respite. In this case, a PI move toward $0.2 and the $0.216 local high could materialize.


Final Summary

  • PI’s short-term direction hinged on the direction of the breakout from the triangle pattern.
  • The Pi Network price prediction is a move toward $0.20 and $0.216, provided Bitcoin can climb above $70k and maintain the momentum.

Disclaimer: The information presented does not constitute financial, investment, trading, or other types of advice and is solely the writer’s opinion.

Связанные с этим вопросы

QWhat was the main reason AMBCrypto warned that the Pi Network rally in mid-February might not be a bullish reversal?

AAMBCrypto warned that the rally looked more like buyer exhaustion than a bullish reversal.

QWhat key price level did Pi Network (PI) fail to overcome during its February rally?

API failed to overcome the $0.2 supply zone.

QWhat two technical indicators suggested a lack of significant selling pressure and a potential bullish crossover?

AThe On-Balance Volume (OBV) did not see a steep drop-off, and the 20 and 50-day moving averages were on the verge of a bullish crossover.

QWhat chart pattern's breakout direction is expected to determine Pi Network's next significant price move?

AThe direction of the breakout from the triangle pattern (orange) is expected to determine the next impulse move.

QAccording to the article, what two conditions could lead to a Pi Network price move toward $0.20 and $0.216?

AA move toward $0.20 and $0.216 could materialize if Bitcoin climbs above $70k and maintains its momentum, and if there is a Bitcoin short squeeze that gives the altcoin market respite.

Похожее

Apple Also Has to Pay Rent Now

Apple Pays Rent Too: The Two-Way Flow of "Traffic Tax" and "AI Capability Rent" Between Tech Giants For over two decades, Google has paid Apple an estimated $20 billion annually to remain the default search engine on Safari, a "traffic tax" for a critical user entry point. However, in 2026, the direction of this cash flow partially reversed. Apple agreed to pay Google roughly $1 billion per year to license its Gemini AI models, as Apple's own models reportedly struggled with complex tasks. This creates a unique dynamic: Apple acts as the "landlord" in the established search ecosystem, collecting rent from Google for access. Simultaneously, in the emerging AI arena, Apple becomes the "tenant," paying Google for access to cutting-edge AI capabilities it cannot currently match internally. While Apple claims its new models are "distilled" from Gemini outputs and contain "not a drop" of Google's original code, core dependencies remain. Its knowledge base is refined using Gemini's outputs, and its most powerful cloud model runs on Google's infrastructure. Apple has structured the deal as non-exclusive, allowing it to theoretically switch AI suppliers—a hedge against over-reliance. The future hinges on whether advanced AI models become a commodity (cheap and abundant) or remain a concentrated, scarce resource (expensive and controlled by few). Apple is betting on the former, leveraging its massive device ecosystem to be a powerful, choosy customer. If the latter proves true, its bargaining power could erode. This power dynamic is extending to developers. Apple, Google, and WeChat are all pushing for apps to expose their core functions as standardized "actions" or "intents" that their respective AI assistants (Siri, Gemini, WeChat AI) can directly call. The new scarce resource is no longer just app store visibility, but "being selected by the AI." The currency of "rent" has changed from a 30% revenue share to ceding control over how users interact with an app's functions.

marsbit30 мин. назад

Apple Also Has to Pay Rent Now

marsbit30 мин. назад

Missed the SpaceX IPO? WEEX's "First Trade Protection" Lets You Experience US Stock Trading Risk-Free.

With the excitement around SpaceX's recent public listing reigniting interest in the US stock market, Chinese investors face significant challenges accessing compliant and convenient trading channels following regulatory actions against major online brokers. This article explores the available options, highlighting their risks and limitations. Traditional paths for US stock investments remain problematic. Qualified Domestic Institutional Investor (QDII) and Listed Open-Ended Fund (LOF) products, while compliant, suffer from high fees, significant purchase premiums, and a very limited selection of assets. Small, unregulated offshore brokers pose substantial risks, including potential insolvency. While secure, VIP accounts at banks in Hong Kong or Singapore require high minimum deposits (often 1-2 million RMB) and in-person visits, placing them out of reach for most retail investors. The article positions cryptocurrency exchanges, specifically their TradFi (traditional finance on-chain) offerings, as a compelling alternative. Platforms like WEEX are noted for providing access to a wide range of US stocks and ETFs, including SpaceX (SPCXON), through tokenized assets. This method offers advantages such as a single account for both crypto and traditional assets, USDT-based settlement avoiding fiat complexities, flexible leverage, and robust risk management. To attract users, WEEX is promoting a "First Trade Guarantee" campaign. Running from June 15 to July 8 (UTC+8), it features a $30,000 prize pool. Users who trade $500 worth of US stock contracts can qualify for a guarantee on their first eligible trade: 100% loss coverage up to $30 or a 20% bonus on profits up to $30. The campaign is presented as a low-risk opportunity for both crypto natives and traditional investors to experience US stock trading.

marsbit32 мин. назад

Missed the SpaceX IPO? WEEX's "First Trade Protection" Lets You Experience US Stock Trading Risk-Free.

marsbit32 мин. назад

How Difficult is Chip Making? A Division Error Costs 475 Million Dollars

How Hard Is It to Make a Chip? A Division Error Cost $475 Million Chip expert Shi Kan, a researcher at the Chinese Academy of Sciences and a popular tech creator, explains the immense challenges of chip development. Chips are foundational to modern technology, but their creation is extraordinarily difficult. The journey from sand to a functional chip involves complex design and manufacturing, but a critical bottleneck is verification—ensuring the design works flawlessly before costly production. A single, undetected bug can have catastrophic consequences, as illustrated by the infamous 1994 Intel Pentium FDIV bug. A flaw in the floating-point division unit forced a recall costing $475 million. Unlike software, chips cannot be easily patched after manufacture, making "first-time success" paramount. However, industry surveys show only 24% of chip projects achieve this; over three-quarters require at least one costly re-spin due to design flaws. Verification has thus become the dominant phase, consuming up to 70% of the design cycle. The core challenge is a "verification impossible triangle" between high performance, good debuggability, and low cost. Exhaustively verifying a modern CPU core could take 15,000 years with software simulation, or 30 years with advanced hardware emulation—timeframes utterly impractical for development. Despite being essential, verification is often seen as unglamorous "dirty work," receiving less academic attention than fields like AI. Shi and his team are tackling this by developing an agile verification research framework called ENCORE, based on FPGA technology, to improve verification efficiency and debug capability. Beyond research, Shi engages in public science communication through long-form video content, aiming to demystify chip technology, AI, and computer science. He argues for the value of pursuing "hard and long-term" endeavors, whether in the meticulous world of chip verification or in creating substantive educational content, believing such sustained effort is likely the right path forward.

marsbit42 мин. назад

How Difficult is Chip Making? A Division Error Costs 475 Million Dollars

marsbit42 мин. назад

Claude to Mandate "Face-Scan ID Verification", No ID No Service Starting July?

Anthropic, the creator of Claude AI, has sent privacy policy update emails to users, signaling a significant shift. The key change, effective July 8, is the potential requirement for consumer-level users (Free, Pro, Max plans) to verify their age or identity. This verification would be conducted through the third-party service Persona, involving uploading a government-issued photo ID and taking a live selfie for comparison. Anthropic states this data is for security purposes only, will not be used for model training, and is processed by Persona, not stored on its own servers. The update also clarifies data handling for Claude's new capabilities: when performing multi-step tasks or connecting to third-party apps, user data may flow between Anthropic and those external services. Additionally, more information may be collected from users who participate in Anthropic research. This move is seen as a major step towards establishing accountability as AI agents become more powerful and autonomous, capable of executing complex, real-world tasks. It follows previous enforcement actions, like the banning of the "Fable 5" account, and indicates a broader industry trend toward stricter user identification and safety measures. The verification is expected to apply in specific scenarios, particularly as users engage Claude in more complex agentic workflows.

链捕手54 мин. назад

Claude to Mandate "Face-Scan ID Verification", No ID No Service Starting July?

链捕手54 мин. назад

Blockchain Has Finally Started to Sail into the Mainstream After 18 Years

Blockchain Finds Its True Path After 18 Years: Becoming the Financial Backbone for AI Agents and Autonomy This analysis explores a pivotal shift in the blockchain and crypto investment landscape, driven by the dominance of AI. Major venture capital firms, including Variant, Paradigm, Haun Ventures, and YZi Labs, are moving beyond pure "crypto" investment theses. They are expanding their focus to AI, robotics, and frontier tech, signaling that blockchain is no longer seen as a standalone sector but as an underlying infrastructure layer. The core argument is that blockchain's killer application may not be user-facing apps, but rather providing the economic rails for the coming wave of AI agents, autonomous robots, and automated systems. Key capabilities like self-custody wallets, programmable stablecoins for micropayments, on-chain identity, and verifiable smart contracts are positioned as essential for a future where machines conduct economic activity. The recent $1.4 billion investment by Tether (via its venture arm) in German robotics company NEURA Robotics exemplifies this, aiming to embed Tether's wallet tools directly into robots for autonomous transactions. While many "AI + Crypto" projects remain superficial, the article concludes that true value lies where crypto is a necessary component—enabling machine-to-machine payments, agent autonomy, verifiable data provenance, and open financial settlement for the AI era. For crypto venture capital, this convergence with AI represents both an adaptation to shifting capital flows and a potential path to unlocking the large-scale, non-speculative utility the industry has long sought.

marsbit1 ч. назад

Blockchain Has Finally Started to Sail into the Mainstream After 18 Years

marsbit1 ч. назад

Торговля

Спот
Фьючерсы
活动图片