Analyst Reveals Bitcoin Strategy With 250% Potential Upside — Key Entry Levels Identified

bitcoinistPubblicato 2026-03-09Pubblicato ultima volta 2026-03-09

Introduzione

A popular crypto analyst, Ali Martinez, has outlined a Bitcoin buy-and-hold strategy with a potential upside of over 250%. The plan is based on the Cumulative Value Days Destroyed (CVDD) indicator, an on-chain metric used to identify long-term support and resistance levels. The analysis suggests that Bitcoin's price could bottom out around the CVDD line at approximately $49,330, which has historically acted as a cycle bottom and a prime accumulation zone. From this entry point, the strategy identifies two key profit-taking levels: $178,478 (the CVDD 3.618x line) and $273,158 (the Alpha CVDD line). A move from the suggested entry to the first target would represent a gain of over 260%. At the time of writing, Bitcoin price is approximately $67,350, down over 1% in the past 24 hours.

A popular crypto analyst on the social media platform X has shared a buy-and-hold strategy for Bitcoin, which could potentially yield over 250% gain in the near future.

BTC Price To Bottom Out Around $49,000?

In a recent post on the X platform, market pundit Ali Martinez put forward an exciting trade plan for Bitcoin, the world’s largest cryptocurrency by market capitalization. This strategy revolves around the CVDD (Cumulative Value Days Destroyed) Channel.

CVDD is an on-chain technical indicator based on the volume of aged capital being sent into the market. This on-chain metric is typically used in highlighting zones of long-term support or resistance based on the movement of long-held coins.

The Cumulative Value Days Destroyed line, which is typically the lowest line in the channel, signals a phase of severe undervaluation. The channel extensions (the resistance bands, which are usually the targets during bull markets) are then created by applying Fibonacci multiples to the base CVDD line.

From a historical perspective, the Bitcoin price has never dropped below the CVDD line (the base line of the channel), marking it as a relevant indicator for identifying cycle bottoms. Hence, the line is often considered a primary accumulation zone, where investors often bet on a price reversal.

Source: @ali_charts on X

As shown in the highlighted chart, this CVDD line (blue) is currently around $49,330, representing the potential Bitcoin bottom in this bearish phase. According to Martinez, this price point also represents the perfect spot to take a position in the flagship cryptocurrency.

Next, the market analyst says to take profit from this trade at the resistance levels around $178,478 or $273,158. These $178,478 and $273,158 resistance levels are the CVDD 3.618x and Alpha CVDD lines, respectively, of the channel, and they represent potential cycle tops for the Bitcoin price.

If the price of BTC indeed soars from $49,330 to at least the $178,478 top, that would represent an over 260% rally in one cycle. Meanwhile, it would take a further 53% upside movement from $178,478 toward the next resistance level.

Bitcoin Price Overview

As of this writing, the price of BTC stands at around $67,350, reflecting a more than 1% decline in the past 24 hours. According to data from CoinGecko, the premier cryptocurrency is barely up by 1% kn the weekly timeframe.

The price of BTC on the daily timeframe | Source: BTCUSDT chart on TradingView

Domande pertinenti

QWhat is the CVDD indicator and how is it used in the Bitcoin strategy mentioned?

ACVDD (Cumulative Value Days Destroyed) is an on-chain technical indicator based on the volume of aged capital being sent into the market. It is used to highlight zones of long-term support or resistance based on the movement of long-held coins. In this strategy, the CVDD line (approximately $49,330) is identified as a potential cycle bottom and accumulation zone, while its Fibonacci multiples ($178,478 and $273,158) represent potential cycle tops for taking profits.

QAccording to Ali Martinez, what are the key entry and profit-taking levels for Bitcoin in this strategy?

AThe key entry level is near $49,330, which is the CVDD line and potential bottom. The profit-taking levels are between $178,478 (CVDD 3.618x) and $273,158 (Alpha CVDD line), representing potential cycle tops.

QWhat potential percentage gain does this strategy offer if Bitcoin reaches the first profit target?

AIf Bitcoin rises from the entry point of $49,330 to the first profit target of $178,478, it would represent a gain of over 260%.

QWhat is the current price of Bitcoin and its recent performance as mentioned in the article?

AAs of the writing of the article, the price is around $67,350, reflecting a more than 1% decline in the past 24 hours and a barely 1% increase on the weekly timeframe.

QWhy is the CVDD line considered a significant indicator for identifying cycle bottoms in Bitcoin?

AFrom a historical perspective, the Bitcoin price has never dropped below the CVDD line, marking it as a relevant indicator for identifying cycle bottoms. It is often considered a primary accumulation zone where investors bet on a price reversal.

Letture associate

Bitcoin Liquidation Shakeout Leaves Traders Watching $66K Resistance And $61K Support

Bitcoin's recent volatility triggered a major liquidation event, wiping out roughly $980 million in leveraged positions within 24 hours as price swung from ~$64,100 down to $60,700 and back above $63,000. Traders are now watching key technical levels. Major pivot resistance is identified at $66,247, with reclaimed highs near $64,234 and next resistance at $65,890. Critical support zones lie between $63,127-$63,354, then $62,459, with broader downside targets around $59,150-$60,171. Liquidation heatmaps show significant liquidity clusters above ($63.5K-$66K) and below ($58.5K-$61K) spot price, creating a volatile corridor. The market is in a corrective phase; a clean break above resistance is needed for a bullish shift, while failure to hold low-$63K support risks a move toward lower liquidity zones.

bitcoinist10 min fa

Bitcoin Liquidation Shakeout Leaves Traders Watching $66K Resistance And $61K Support

bitcoinist10 min fa

U.S. Government Bans Foreign Nationals from Using Fable 5, Anthropic Issues Rebuttal

U.S. Government Bans Foreign Access to Fable 5, Anthropic Issues Rebuttal On June 12th, the U.S. government ordered AI company Anthropic to immediately suspend all foreign access—including foreign nationals within the U.S. and Anthropic's own foreign employees—to its newly released Fable 5 and Mythos 5 AI models, citing national security concerns. This forced Anthropic to temporarily disable access to both models for all users globally, as it cannot technically differentiate user nationality at scale. The models, released just three days prior, represent Anthropic's highest public capability tier. Fable 5 is the first publicly available model from the advanced "Mythos" family, while Mythos 5 is a less-restricted version for approved cybersecurity and critical infrastructure partners. The government's directive was reportedly triggered by claims from another company that it could "jailbreak" Mythos 5, raising alarm within the Trump administration. Anthropic, in a detailed public statement, strongly challenged this rationale. The company argues the demonstrated "jailbreak" is a narrow, non-generalized technique that merely involves identifying minor, known software vulnerabilities—a capability common to other publicly available models like OpenAI's GPT-5.5 and routinely used by cybersecurity defenders. Anthropic stated it has complied with the order but disagrees with the government's standard, warning that applying it industry-wide would halt all new frontier model deployments. The company criticized the lack of a transparent, fact-based legal process and expressed confidence the situation stems from a misunderstanding. It is working to restore access and will release more technical details within 24 hours. Other Anthropic models remain unaffected.

链捕手12 min fa

U.S. Government Bans Foreign Nationals from Using Fable 5, Anthropic Issues Rebuttal

链捕手12 min fa

The Revelation from the Raydium Theft Incident: New DeFi Vulnerabilities Lurking in Forgotten Old Contracts

**Raydium Exploit Reveals DeFi's Hidden Risk: Forgotten "Zombie" Contracts** A recent attack on Raydium's deprecated V3 AMM pools resulted in a loss of approximately $1.34 million. The hacker exploited pools that were no longer supported by Raydium's current UI or SDK but remained fully functional and accessible on-chain. This incident highlights a critical, often overlooked category of risk in DeFi: inactive or legacy smart contracts that projects fail to properly decommission. Since March 2025, there have been at least 8 publicly reported attacks targeting such abandoned contracts, with total losses around $10.8 million. Including older pools and deprecated features, the count rises to 10 incidents with roughly $22.5 million in losses. These "zombie contracts" represent a lifecycle management failure rather than a code vulnerability, yet they are typically misclassified under general "code bug" categories in security reports, masking the true scale of the problem. The root cause is that projects often merely document a contract as "deprecated" without taking essential technical steps to secure it: withdrawing remaining assets, disabling external call functions, and implementing ongoing monitoring. These forgotten, under-monitored components become prime targets for attackers. To address this, the industry needs to recognize "zombie contracts" as a distinct risk category and establish standardized decommissioning protocols. Essential steps should include: 1) a formal retirement announcement, 2) removal of all front-end integrations, 3) withdrawal of locked assets, 4) disabling key contract functions, 5) ongoing security monitoring, 6) clear user communication, and 7) a post-mortem analysis. The value of a DeFi project lies not only in its current TVL but also in the security of its historical codebase, which has now become a new attack surface.

Foresight News2 h fa

The Revelation from the Raydium Theft Incident: New DeFi Vulnerabilities Lurking in Forgotten Old Contracts

Foresight News2 h fa

Solayer Launches Margin Trade to Consolidate Perpetual Multi-Asset Trading on Mainnet

Solayer, a high-performance SVM-compatible Layer 1 blockchain, has launched its Margin Trade platform on mainnet. This unified cross-asset perpetual trading platform merges traditional and digital finance, developed with input from institutional and crypto trading experts. It offers trading for a diverse range of assets, including top cryptocurrencies, commodities like gold and oil, and equities such as the synthetic MT500 index. Key features include cross-margin trading with a unified collateral pool for improved capital efficiency, real-time execution, and full on-chain transparency with non-custodial asset ownership. The launch includes the first perpetual market for Pearl Research ($PRL) with up to 3x leverage. Future plans involve expanding asset listings and adding isolated margin functionality. Built on the high-throughput Solayer network capable of 330,000 TPS, the platform aims to provide the speed required for serious trading. Following successful testnet phases, Margin Trade's mainnet debut marks a significant step in Solayer's goal to unify traditional and crypto markets on-chain with institutional-grade decentralized finance infrastructure.

TheNewsCrypto2 h fa

Solayer Launches Margin Trade to Consolidate Perpetual Multi-Asset Trading on Mainnet

TheNewsCrypto2 h fa

Robots Begin to 'Consume Data': The Hidden Production Chain from Indian Data Factories to Billion-Dollar Humanoid Robots

Robots have started to 'consume data,' driving the formation of a new industrial supply chain focused on producing training data for embodied AI. Unlike large language models, which are trained on vast internet text corpora, embodied AI models face a 'data desert' in the physical world. This has created a massive demand for first-person perspective video data (Ego Data), captured by workers wearing cameras in places like Indian garment factories. Companies like Neocambrian AI are establishing 'data factories' where workers perform standardized tasks (e.g., sorting clothes, kitchen organization) to generate thousands of hours of video. Research, such as NVIDIA's EgoScale, demonstrates that scaling this human demonstration data predictably improves robot performance, particularly for dexterous manipulation. This has validated a training path combining large-scale human data for pre-training with smaller amounts of robot-specific data for fine-tuning. The value of different data types varies significantly, forming a 'data pyramid.' The base consists of low-cost, large-scale internet and Ego Data. Higher layers include more expensive motion-capture data (e.g., from data gloves), simulation/synthetic data, and the most costly and scarce layer: real robot teleoperation data. This demand has spawned a layered ecosystem of data suppliers: low-cost data factories, motion capture and alignment specialists, robot-native teleoperation service providers, simulation data companies, and platforms aiming for data standardization. Robot companies themselves are adopting a 'layered procurement' strategy: outsourcing generic Ego Data while building in-house capabilities for robot-specific adaptation data and the critical deployment/failure data generated in real-world applications. The industry is shifting focus from hardware and basic mobility to the data pipelines required for general-purpose capability. While parallels exist to data labeling companies like Scale AI in the LLM boom, the physical complexity of robot data—involving action success ambiguity and sim-to-real gaps—requires more integrated solutions for data collection, annotation, and a continuous feedback loop. The race is on to build the data engines that will teach robots to operate reliably in the unstructured real world.

marsbit4 h fa

Robots Begin to 'Consume Data': The Hidden Production Chain from Indian Data Factories to Billion-Dollar Humanoid Robots

marsbit4 h fa

Trading

Spot
Futures
活动图片