TLDR

• February recorded crypto security breaches totaling $26.5M to $35.7M, marking the lowest monthly figure since March 2025
• A $10M oracle manipulation attack on YieldBlox’s Stellar-based lending platform represented the month’s largest single exploit
• Private key compromise led to approximately $8.9M in losses for IoTeX on February 21
• Compared to January’s $86M in losses, February saw a dramatic 69%+ decline, and remained far below the $1.5B Bybit breach from February 2025
• Phishing scams persisted as a major vulnerability, responsible for $8.5M in February theft

February witnessed a dramatic downturn in cryptocurrency theft, with blockchain security experts reporting the lowest monthly losses in nearly a year. Leading security platforms PeckShield and CertiK documented total losses between $26.5 million and $35.7 million throughout the month.

This represents a significant improvement from January’s $86 million figure, marking a decline exceeding 69% in just one month. The contrast becomes even starker when compared to February 2025, when the massive $1.5 billion Bybit exchange compromise dominated the statistics.

While February recorded 15 separate security incidents, two major attacks drove the majority of financial damage. The most significant breach targeted YieldBlox, a decentralized autonomous organization operating a lending protocol on the Stellar blockchain, resulting in $10 million in stolen assets.

On February 22, an exploiter took advantage of low liquidity conditions within the USTRY/USDC trading pair. Through a strategically executed abnormal transaction, the attacker artificially pumped the token’s valuation by 100x, manipulating the system into permitting massive undercollateralized loan withdrawals.

The month’s second-largest security failure struck IoTeX, a blockchain platform focused on Internet-of-Things applications, on February 21. Unauthorized access to a compromised private key granted the attacker entry to the project’s token safe.

The perpetrator rapidly converted stolen tokens into ETH before moving funds through multiple cross-chain bridges toward Bitcoin. While CertiK’s analysis estimated damages near $9 million, IoTeX representatives contested this figure, claiming actual losses were closer to $2 million.

Foom.Cash, a privacy-focused protocol, suffered the third-largest attack with $2.2 million in losses. The exploit leveraged a cryptographic vulnerability to manufacture fraudulent zkSNARK proofs, generating fake authentication credentials that bypassed protocol security measures.

What Drove the Drop

According to PeckShield’s analysis, February’s reduced numbers stem largely from the absence of any catastrophic “mega-hack” comparable to previous incidents like the Bybit breach. Additionally, a significant Bitcoin price downturn early in the month, with values falling beneath $70,000, redirected market focus away from protocol vulnerabilities.

Kronos Research’s Dominick John attributed the improvement to enhanced risk management protocols, elevated counterparty vetting standards, and superior real-time security monitoring deployed across major cryptocurrency platforms. He highlighted that artificial intelligence-powered code auditing tools and automated vulnerability detection systems are identifying weaknesses before exploitation occurs.

Phishing Still a Problem

Despite encouraging overall trends, phishing schemes continue plaguing the crypto ecosystem. These social engineering attacks claimed $8.5 million during February.

The proliferation of “drainer-as-a-service” operations, including platforms like Angel Drainer and Inferno Drainer, has democratized sophisticated phishing campaigns. These services supply turnkey solutions including replica websites, counterfeit social media profiles, and pre-built malicious smart contracts, requiring only a revenue-sharing agreement with operators.

PeckShield recommended that both institutional players and high-value individual wallet holders implement multi-signature cold storage solutions while maintaining rigorous private key security protocols.

Notably, wallet drainer-related losses have shown substantial year-over-year improvement, declining from $494 million throughout 2024 to $83.85 million across 2025.

Bitcoin could gain ground if artificial intelligence reshapes labor markets or creates volatility that nudges central banks toward looser monetary policy, according to Greg Cipolaro, research lead at NYDIG. In a Friday note, he argued that AI may emerge as a general‑purpose technology on par with electricity, with macro effects on employment, economic growth and risk appetite that feed into the crypto market. The implications for Bitcoin (CRYPTO: BTC) hinge on the broader policy and liquidity backdrop: AI‑driven growth paired with ample liquidity and low real yields could be supportive, while a scenario of rising real yields and tighter policy would introduce headwinds. Conversely, if AI triggers labor disruption or market volatility that prompts fiscal expansion and looser policy, the liquidity impulse could again favor Bitcoin.

Key takeaways

• AI could act as a broad macro catalyst, influencing employment, growth, risk appetite, and ultimately Bitcoin (CRYPTO: BTC) through shifts in liquidity and policy expectations.
• Bitcoin’s direction depends on the interplay between AI‑driven growth, liquidity conditions, and the path of real interest rates; sustained expansion with accommodative policy may support BTC, while tighter real rates could weigh on it.
• Disruptive AI adoption may trigger fiscal expansion and easier monetary policy in some scenarios, delivering a liquidity impulse that tends to benefit Bitcoin (CRYPTO: BTC).
• Corporate AI ambitions are already reshaping corporate workforces, as seen in high‑visibility restructuring plans, signaling broader macro and market implications for risk assets.
• Regulatory and policy signals surrounding AI’s impact on employment could influence risk sentiment and crypto flows in the near term, alongside traditional equity and fixed income markets.

Tickers mentioned: $BTC, $SQ, $COIN, $GS

Market context: The AI wave is converging with ongoing liquidity dynamics and risk‑on sentiment in crypto markets. As institutions assess AI’s productivity gains and potential disruptions, macro data releases and central bank guidance will help determine whether crypto assets like Bitcoin can sustain a bid amid shifting policy expectations.

AI adoption is already altering corporate strategy and labor markets, a trend that crypto markets are watching closely. The broader narrative suggests that the technology could be a catalyst for both growth and volatility, depending on how fiscal and monetary authorities respond to changes in productivity and demand. In the near term, investors are parsing whether AI‑led productivity will accompany a period of loose financial conditions or whether the opposite dynamic—tightening policy in response to stronger growth—will prevail.

Why it matters

The intersection of AI and crypto sits at a critical juncture for investors and developers. If AI accelerates productive capacity while liquidity remains ample and real yields stay subdued, Bitcoin could benefit from a favorable risk environment and higher risk tolerance among investors seeking alternative stores of value. Conversely, if AI boosts output and real yields rise, policy normalization could reduce the appeal of risk assets, including BTC, even as the technology broadens the toolkit available to market participants.

From a labor‑market perspective, the outlook is nuanced. Goldman Sachs’ research arm suggested that widespread AI adoption could displace a portion of the workforce, even as it creates new opportunities. That tension—displacement alongside new roles—has historically been resolved through gradual adaptation and retraining rather than abrupt obsolescence. The practical implication for Bitcoin is not merely a price impulse but a shift in macro conditions that shape liquidity, risk appetite, and the relative attractiveness of crypto as an inflation‑hedge or diversification instrument.

Within the crypto industry, the AI rollout is not purely theoretical. Coinbase introduced a Payments MCP tool that enables AI agents to access on‑chain financial tools—an innovation that tests how AI can operate safely within decentralized systems while highlighting new risk vectors for security and market integrity. As AI agents gain more autonomy over financial actions, the ecosystem will need robust risk management, auditing, and compliance frameworks to avert unintended consequences.

The narrative is further complicated by corporate actions tied to AI. Block, the payments company co‑founded by Jack Dorsey, announced plans to cut roughly 40% of its staff as part of an AI‑driven restructuring, signaling that major tech and fintech firms are recalibrating cost structures in response to automation. That kind of market‑moving news underscores how AI may trigger both productivity gains and near‑term volatility as companies realign their workforces and investment priorities.

Looking ahead, the balance of macro forces—central bank policy, fiscal responses to AI‑enabled growth, and the pace of AI deployment—will shape how BTC trades in the coming quarters. If AI‑led productivity collapses into broader liquidity, Bitcoin could find a receptive environment; if not, the path of least resistance for BTC could be more challenging. The ongoing debate about AI’s macro impact is not just about employment; it’s about how money, policy, and risk assets interact in a world where automation and data drive more decision‑making than ever before.

What to watch next

• Upcoming macro data and central bank guidance to gauge whether AI‑driven growth translates into a more accommodative or restrictive policy environment.
• Details on Coinbase’s Payments MCP rollout, including any updates on safety assessments and the practical adoption by institutions and retail users.
• Further AI‑related restructurings or earnings commentary from major tech and fintech firms, and their impact on liquidity in crypto markets.
• New research updates from Goldman Sachs or other institutions outlining the labor market implications of AI and potential knock‑on effects for risk sentiment.
• BTC price responses to macro shocks linked to AI developments, providing a test of Bitcoin’s sensitivity to shifts in liquidity and policy expectations.

Sources & verification

• NYDIG research note by Greg Cipolaro on AI as a potential general‑purpose technology and its macro effects on BTC.
• Reports on Block’s planned staff reductions tied to AI‑driven restructuring.
• Goldman Sachs research on the potential displacement and creation of jobs due to AI adoption.
• Coinbase announcement of Payments MCP enabling AI agents to access on‑chain tools.
• Related coverage on AI, crypto funding, and industry developments referenced in the original reporting.

What the announcement changes

What to watch next

Rewritten Article Body: AI as a macro catalyst for Bitcoin

Bitcoin (CRYPTO: BTC) stands at the intersection of two transformative trends: artificial intelligence’s runaway potential and the evolving policy stance of global central banks. In a forward‑looking view, Greg Cipolaro, the research lead at NYDIG, framed AI as a “general‑purpose technology” whose macro effects—on employment, growth, and risk appetite—could materially influence the path for BTC. The core argument is simple but consequential: if AI‑driven growth is accompanied by expanding liquidity and low real rates, BTC could benefit from a more favorable macro backdrop. But if that growth pushes real yields higher and policy becomes more restrictive, Bitcoin could face headwinds that temper enthusiasm for risk‑sensitive assets.

Cipolaro’s logic rests on a classic macro equation: technology boosts productivity, which should lift demand for assets that function as stores of value or hedges against inflation and uncertainty. Yet the tech boom is not a guarantee of perpetual ease. In practice, the same AI adoption that accelerates growth can also provoke shifts in the labor market and in fiscal and monetary policy. If AI growth translates into higher real activity without overheating inflation, central banks might tolerate looser financial conditions longer. In such a scenario, Bitcoin could ride a liquidity tailwind as investors search for non‑traditional diversifiers amid rising risk appetite.

Conversely, Cipolaro warned that if AI‑driven productivity pushes the economy toward higher real yields, or if policymakers tighten to cool overheating, BTC’s path could weaken. The idea is not that Bitcoin is inherently fragile, but that its performance is increasingly tethered to the broader policy environment and the velocity of liquidity. In other words, BTC’s fate may be decided as much by macro policy reactions to AI‑enabled growth as by the technology’s direct impact on the crypto market. The takeaway is nuanced: the same technology that could lift BTC through liquidity cycles can also dampen it if it prompts policy normalization that drains speculative capital from risk assets.

The conversation around AI’s macro impact gains realism when considering how the labor market might respond. Goldman Sachs’ research arm, in August, noted that widespread AI adoption could displace a portion of the US workforce, even as it promises to create new opportunities. The report underscored a familiar theme in technology transitions: disruption and opportunity often coexist, with the net effect dependent on policy choices, retraining, and the speed at which new jobs emerge. For the crypto market, the implication is not a single directional move but a spectrum of outcomes shaped by policy signals and the pace of AI integration into the real economy.

Within the crypto ecosystem, the AI narrative is already producing tangible experiments. Coinbase announced a new tool, Payments MCP, designed to grant AI agents access to the same on‑chain financial tools used by humans. The development marks a significant step in integrating AI capabilities with decentralized finance, while also highlighting new risk vectors—from misfired automation to security vulnerabilities in autonomous actions. Industry executives stressed that safety must be a priority as AI agents operate in on‑chain environments, posing questions for risk management and compliance frameworks that will shape adoption trajectories.

Beyond wallets and protocols, AI is reshaping corporate strategy. Block, the payments company co‑founded by Jack Dorsey, disclosed plans to cut roughly 40% of its staff as part of a broader AI‑driven restructuring. The move is a vivid reminder that AI’s productivity gains can come with sharp adjustments to workforce composition and cost structures across the tech landscape. While such actions carry near‑term volatility for equities and tech‑driven liquidity, they also reflect the broader reallocation of resources toward more automated workflows and AI‑enabled platforms. For Bitcoin, these corporate shifts may contribute to liquidity dynamics and risk sentiment that influence price behavior in the months ahead.

As the AI‑era unfolds, Bitcoin’s trajectory will likely reflect a balance between macro stability and disruption. If AI accelerates growth without triggering aggressive tightening, BTC could benefit from an environment of ample liquidity and restrained inflation. If AI unlocks rapid productivity but also prompts policy normalization, risk assets—including Bitcoin—may face a more challenging climate. The overarching theme is that Bitcoin’s sensitivity to macro conditions is intensifying, driven not solely by on‑chain fundamentals but by the interconnected web of technology, labor markets, and policy responses that define the macro landscape.

In this evolving context, investors and builders alike should monitor the evolving AI policy narrative, corporate restructuring trends, and the practical rollout of AI‑driven financial tools within crypto ecosystems. The convergence of AI adoption, liquidity cycles, and central bank dynamics will play a decisive role in BTC’s direction in the near term, with the potential for both periods of outperformance and retracements depending on how policy and market sentiment respond to the AI shift.

Crypto markets remain under pressure after U.S. President Donald Trump confirmed that military operations against Iran will continue following joint U.S.–Israeli strikes that killed Iran’s Supreme Leader, Ayatollah Ali Khamenei.

Trump said combat operations are ongoing and will persist until U.S. strategic objectives are achieved, warning Tehran of further consequences as the conflict escalates.

Total crypto market cap analysis

The total crypto market capitalization has fallen sharply from January highs near $3.3 trillion to around $2.26 trillion at press time, marking a drawdown of more than $1 trillion at the peak of the selloff.

February saw an accelerated breakdown, with a large capitulation candle pushing the market toward the $2.1–$2.2 trillion support zone.

Currently, total market cap is consolidating near $2.26 trillion, showing mild stabilization but no clear reversal. Immediate support sits around $2.1 trillion, the recent wick low.

A break below that could open the door toward the psychological $2.0 trillion level. On the upside, resistance stands near $2.35–$2.4 trillion, where previous breakdown consolidation occurred.

Momentum suggests a bearish structure remains intact, though volatility has compressed, indicating markets are waiting for further geopolitical clarity.

Crypto market crash continues: Bitcoin struggles

Bitcoin (BTC) mirrors the broader market weakness. After topping near $96,000 in early January, BTC plunged below $70,000, briefly wicking toward the low $60,000s during February’s panic selling.

At the time of writing, BTC trades around $66,200.

Technically, Bitcoin remains below both its 50-day SMA (~$77,277) and 100-day SMA (~$83,408) — a bearish alignment that confirms downward momentum. The 50-day moving average is trending lower and approaching a potential bearish crossover configuration.

Immediate support lies around $64,000–$65,000, with stronger structural support near $60,000. Resistance remains heavy at $70,000, followed by the 50-day SMA near $77,000.

While markets have not made new lows since the initial strike shock, Trump’s confirmation of continued military operations adds uncertainty that could keep risk assets under pressure. For now, crypto appears to be stabilizing, but the broader downtrend remains intact unless key resistance levels are reclaimed.

South Korea’s finance minister has pledged reforms to strengthen how government agencies manage seized cryptocurrency, following a digital asset information leak involving the National Tax Service.

Seized Bitcoin under scrutiny as South Korea tightens digital asset controls

In a statement posted on social media, the minister said the government will work with the Financial Services Commission and the Financial Supervisory Service to conduct a full inspection of digital assets held by public institutions through legal enforcement measures such as seizures from tax delinquents.

The review will assess the current status and management practices of those holdings and introduce measures to prevent future incidents, including tighter digital asset security controls.

“Together with relevant agencies such as the Financial Services Commission and the Financial Supervisory Service, the government will inspect the current status and management practices of digital assets held and managed by government and public institutions through seizure and other enforcement measures,” Koo said on X. 

The minister clarified that the government does not actively invest in or hold cryptocurrency beyond assets acquired through legal enforcement processes.

The move comes after past security lapses raised concerns about how authorities safeguard confiscated crypto. South Korean police lost access to Bitcoin seized in 2021 after relying on a third-party custodian without maintaining control of private keys, exposing weaknesses in custody oversight.

The issue only came to light following an internal probe, drawing criticism over law enforcement’s digital asset handling procedures.

Authorities later arrested two suspects accused of stealing Bitcoin from wallets linked to seized assets, further highlighting vulnerabilities in state-managed crypto storage.

With digital asset seizures becoming more common in tax enforcement and criminal investigations, the latest review signals an effort to standardize custody practices and reinforce accountability. The government’s inspection is expected to evaluate storage methods, access controls, and inter-agency coordination to reduce operational risks tied to holding volatile and technically complex assets.

The finance minister said reforms would be implemented promptly once the review is complete, aiming to restore confidence in the state’s ability to securely manage seized digital assets.

TLDR

• ETH has experienced six consecutive monthly declines, representing its second-longest bearish streak since the 2018 crash.
• The cryptocurrency is hovering near its 2018 peak price level, currently struggling below the $2,000 mark.
• Multiple headwinds include large holder distribution, derivative market pressure, Layer 2 network competition, and persistent ETF capital outflows.
• Ethereum co-founder Vitalik Buterin suggests artificial intelligence could dramatically accelerate the network’s development timeline and strengthen security protocols.
• Wall Street analysts from Standard Chartered and VanEck maintain bullish long-term projections of $7,500 and $10,000 for ETH.

For the first time since the brutal 2018 bear market, Ethereum has registered six consecutive monthly closes in negative territory, establishing a concerning pattern that has traders questioning when the trend will reverse.

Market data from CoinGlass reveals that the only comparable stretch occurred during 2018’s devastating downturn, when ETH plummeted beneath the $85 threshold.

That previous collapse stemmed primarily from the implosion of the Initial Coin Offering (ICO) boom, as countless projects that had raised capital through ERC-20 token sales on Ethereum’s network simultaneously liquidated their holdings.

Today’s prolonged decline, however, stems from an entirely different combination of pressures.

Market observers identify several concurrent factors: systematic distribution by large wallet holders, aggressive selling in derivatives markets, broader economic instability, sustained withdrawals from spot Ethereum ETFs, and intensifying competition from Ethereum’s own Layer 2 scaling solutions that are siphoning away transaction fee revenue.

ETH currently trades marginally above the peak price it achieved during the 2018 cycle, a threshold that was previously celebrated as a significant psychological barrier.

Following a brief climb to $2,054, the asset retreated below the psychologically important $2,000 level. The price now sits beneath the 100-hour Simple Moving Average, a technical indicator often watched by short-term traders.

Critical Price Zones Under Surveillance

The nearest resistance barrier stands at $2,000, followed by more substantial obstacles at $2,120 and $2,155.

Should Ethereum mount a rally past $2,155, traders would then focus on resistance zones at $2,220 and $2,250.

Conversely, downside protection currently exists at $1,920, with another support layer at $1,880. A breach below $1,880 would likely trigger a test of $1,840 or $1,800, while $1,740 represents a more substantial floor should selling intensify.

Buterin Discusses AI’s Potential Impact on Ethereum Development

Ethereum founder Vitalik Buterin recently shared his perspective on how artificial intelligence tools could dramatically compress the timeline for implementing Ethereum’s technical roadmap.

His remarks followed a demonstration where a developer utilized AI assistance to prototype Ethereum’s entire vision through 2030 in just a matter of weeks.

Buterin personally experimented with AI coding capabilities, successfully building a version of his personal blog software in approximately one hour using only his laptop.

He proposed that approximately half of the efficiency gains achieved through AI should be redirected toward enhancing security measures, including expanded testing protocols and formal verification processes for code.

“People should be open to the possibility that the Ethereum roadmap will finish much faster than people expect,” Buterin wrote.

He further emphasized that completely bug-free code, once dismissed as an unattainable ideal, might soon become the baseline standard throughout cryptocurrency development.

Financial analysts at Standard Chartered maintain their ambitious long-term projection of $7,500 for ETH, grounded in Ethereum’s dominant position within stablecoins, decentralized finance protocols, and asset tokenization infrastructure.

VanEck has established an even more optimistic target of $10,000, pointing to the forthcoming Pectra and Glamsterdam network upgrades, which could theoretically enable processing of 100,000 transactions per second.

ETH continues to maintain a foothold above the $1,900 support threshold following its most recent decline from the $2,054 local high.

The Bitcoin price enters March bruised. February delivered close to 15% losses, echoing last year’s February, which saw the Bitcoin price drop by over 17%.

With five consecutive red months now on the books, starting from October 2025, and a median March return of −1.31%, the seasonal backdrop offers little comfort. But beneath the surface, a shift may be forming. Here is what the data shows heading into March.

Bitcoin Price Still Trades as a Risk Asset

One of the most pressing concerns for the Bitcoin price right now is its sustained correlation with US equities. This reflects in the historical sightings as a weak S&P 500 month-on-month ensured a dismal February for Bitcoin.

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As of March 1, the 30-day rolling correlation between Bitcoin and the S&P 500 stands at 0.55, up from around 0.50 in October 2025.

This means the Bitcoin price continues to move largely in step with stocks, undermining its appeal as a hedge against traditional market risk. With Trump’s new global tariffs adding pressure to equities and potential US-Iran military escalation weighing on risk appetite, Bitcoin’s risk-on behavior keeps it vulnerable.

Kevin Crowther, Founder of KC Private Wealth, emphasized this dynamic.

“Bitcoin’s high correlation to software stocks weakens its case as a hedge asset in times of uncertainty, and so as Trump continues to elevate economic uncertainty, continued BTC weakness should be expected,” Crowther said.

Meanwhile, gold and silver continue to surge while Bitcoin bleeds. However, if geopolitical tensions ease, particularly around Iran, risk sentiment could shift. And if the gold and silver trade becomes saturated, capital could begin rotating into Bitcoin as the next uncrowded allocation. That rotation hinges on the equity correlation breaking.

Bitcoin ETF Outflows Are Fading: A Quiet Shift

While the macro picture remains challenging, spot Bitcoin ETF data tells a more nuanced story. February marked the fourth consecutive month of net outflows, but the trend is shifting sharply.

November 2025 saw $3.48 billion in outflows. December brought $1.09 billion, January $1.61 billion, and February closed at just $206.52 million — a 94% reduction from November’s peak.

Orkun Mahir Kılıç, Co-Founder of Citrea, noted that these outflows reflect positioning adjustments rather than a structural retreat.

“The ETF outflows are more consistent with deleveraging than institutional abandonment. For flows to reverse meaningfully, markets need clearer macro direction and lower volatility,” Kılıç explained in an exclusive quote to BeInCrypto.

Nima Beni, Founder of Bitlease, was more direct about what the data signals, especially taking BlackRock’s IBIT outflow into account:

“ETF outflows are retail panic, creating institutional opportunity. BlackRock’s $2.13B IBIT outflow matters less than the fact that 94% of ETF Bitcoin holdings remained despite maximum fear. That’s institutional conviction, not abandonment,” Beni stated.

Overall, the experts didn’t seem perturbed by the ETF outflow streak.

Selling Pressure Is Exhausting Across the Board – The Bounce Catalyst?

Beyond ETFs, on-chain data shows that selling from both long-term holders and Bitcoin miners is drying up rapidly.

Long-term holders — wallets that have held Bitcoin for 365 days or more — are a critical group for gauging market direction. When their selling ends, the Bitcoin price tends to stabilize and recover. Throughout February, their net selling has collapsed. On February 5, the 30-day rolling net position change for long-term holders stood at −243,737 BTC. By March 1, that figure had fallen to just −31,967 BTC, an 87% reduction.

Miner behavior mirrors this trend. Bitcoin miners, who sell BTC to cover operational costs, saw peak capitulation around February 8 when net selling hit −4,718 BTC. By March 1, that had eased to −837 BTC, a sharp decline that suggests the worst of miner capitulation may be behind us.

Han Tan, Chief Market Analyst at Bybit, offered a key distinction here, taking the negative hash rate growth into account.

“Bitcoin miners aren’t capitulating; they’re making strategic diversifications. The drawdown in the hashrate is only to be expected in light of Bitcoin’s price plummet, but does not imply structural capitulation,” Tan noted.

Negative hash rate growth means the total computing power securing Bitcoin is falling instead of rising. This usually happens when miners turn off machines because mining becomes less profitable, often due to lower Bitcoin prices or higher energy costs. This explanation validates what Tan just highlighted.

Whales Are Accumulating Near the 20-Day SMA

While selling weakens, buying is quietly picking up among whale cohorts. Wallets holding between 100,000 and 1,000,000 BTC increased their holdings from 676,540 to 690,000 BTC around February 19–20, during a brief 4.06% price rebound. Crucially, they have not sold since.

Meanwhile, smaller whales holding between 1,000 and 10,000 BTC began accumulating from February 25, with holdings rising from 4.222 million to 4.23 million BTC.

Why are whales holding?

One likely reason is the 20-day Simple Moving Average (SMA), a short-term trend indicator that smooths prices over 20 days. The Bitcoin price currently trades just below the 20-day SMA at $67,100. The last time this level was decisively crossed — on January 1 — Bitcoin rallied by over 12%. Whales appear to be positioning for a similar breakout.

However, the long-term picture requires more conviction. The 50-day SMA sits at $77,200, and the 200-day SMA — the level that could genuinely confirm a bullish reversal — is far above at $96,800.

Han Tan from Bybit highlighted the importance of one such level:

“To the upside, Bitcoin may have to resurface above its 50-day SMA and reclaim the psychological $80k handle before more buyers are enticed back into the fold,” he added.​​​​​​​​​​​​​​​​

Bear Flag Threatens Bitcoin Price, but Invalidation Is in Play

On the three-day chart, the Bitcoin price trades inside a bear flag, a bearish continuation pattern where price consolidates upward within parallel trendlines after a sharp drop. The flagpole measures a roughly 39% decline, meaning a confirmed breakdown could project a similar move lower.

Adding weight to this, a hidden bearish divergence has formed on the Relative Strength Index (RSI), a momentum oscillator. Between February 6 and February 24, the Bitcoin price printed a lower high while RSI printed a higher high. This mismatch suggests that despite the bounce, underlying momentum still favors the downside.

The key levels are clear. On the upside, $71,300 is the first significant resistance. A move above $79,000 would invalidate the bear flag. However, continued BTC price bounces can also shift the structure toward a rising channel, which would become bullish. The next few 3-day candles would therefore determine if the flag breaks or the extension invalidates the bearish pole-and-flag rule.

On the downside, a breakdown below $62,300 opens the door to Fibonacci support levels at $56,800, $52,300, $47,800, and, in extreme scenarios, $41,400.

Crowther sees the most probable outcome as relatively contained, highlighting the chance of a mild bounce.

“Flat, or slightly positive price movement throughout March should be an investor’s base case scenario for now,” he said.

Kılıç, however, pushed back on the bearish framing, aligning with the on-chain selling exhaustion and bounce hopes:

“Extreme fear and the deepest ETF outflow streak in a year aren’t bearish signals. I’d actually define them as classic capitulation, flushing out weak hands and tightening supply,” he stated.

The most likely path for March, therefore, involves a local bounce — driven by exhausting sell pressure and whale accumulation — followed by renewed selling as the broader bear flag structure resolves. Selling is weakening, but it hasn’t been extinguished. A local bottom is not the same as a cycle bottom. March will likely be defined by whether $62,300 support holds or $79,000 resistance breaks first.

Polymarket recorded historic trading activity on the day of the joint U.S.–Israel strike on Iran, with single-day nominal trading volume reaching $478 million, according to an analyst tracking platform data.

War bets surge: Polymarket hits $478M daily volume

The surge marked the highest daily volume in the platform’s history. The politics sector alone accounted for $220 million, or 46.2% of total daily volume, also setting a record. Polymarket Builders, the ecosystem’s infrastructure arm, similarly posted a single-day high as geopolitical tensions drove traders into war-related contracts.

At the center of the activity was the contract titled “US strikes Iran by February 28, 2026?” hours before coordinated airstrikes were launched early Saturday morning, several newly created wallets piled into “yes” shares.

On-chain analytics firm Bubblemaps flagged six wallets that collectively profited roughly $1.2 million.

According to its findings, most of the wallets were funded within 24 hours of the attack, specifically targeted the February 28 deadline, and accumulated “yes” positions just hours before the strikes occurred, raising suspicions of potential insider knowledge.

The surge has drawn scrutiny from analysts and regulators alike, with critics suggesting that fresh accounts profiting off the timing of strikes could indicate access to privileged information.

Not all traders emerged unscathed. On-chain tracker Lookonchain highlighted one high-profile bettor, “anoin123,” who had built more than $2 million in profits over two months by consistently wagering that the U.S. and Israel would not strike Iran.

When the strike ultimately took place, the trader lost $6.5 million in a single day, flipping from multimillion-dollar gains to more than $4.5 million in losses.

The episode shows both the explosive growth of blockchain-based prediction markets during geopolitical crises and the mounting scrutiny surrounding suspiciously timed bets.

Bitcoin BTC$66,227.89 pulled back from Asian session highs alongside losses in the U.S. stock futures as Iran stepped up attacks in the Middle East.

The leading cryptocurrency fell back below $66,000 after hitting a high of nearly $67,000 in early Asian hours. The S&P 500 e-mini futures fell to 6,790, down 1.4% on the day, reversing the early rise to 6,857. Meanwhile, oil prices continued to trade higher by over 7% on both sides of the Atlantic.

Iran reportedly stepped up missile attacks on the U.S. assets in Bahrain, Kuwait and the UAE. It also attacked Saudi Arabia’s oil infrastructure, the widely-followed Warn and Gore OSINT handle. Saudi Arabia is one of the largest oil producers in the world.

Blockchain platforms are no longer experimental technologies. Enterprises across finance, supply chain, gaming, identity, and digital assets are investing in blockchain infrastructure to build scalable & secure systems. However, one of the first things that comes to the mind of the decision-makers is blockchain development cost 2026.

The answer depends on multiple factors, including architecture, infrastructure requirements, development scope, and long-term scalability planning. Unlike standard applications, blockchain platforms require specialized engineering, distributed infrastructure, and security-focused development practices.

Understanding the real cost structure helps organizations plan investments properly and avoid expensive redesigns later.

Reasons Behind the Varying Cost of Blockchain Platform Development

Blockchain platform development costs vary widely because platforms differ significantly in complexity and scale. A simple blockchain application is very different from a full enterprise blockchain infrastructure.

Several factors drive cost differences:

• Type of blockchain architecture (public, private, or consortium)
  
• Number of platform features
  
• Security requirements
  
• Transaction throughput requirements
  
• Infrastructure scale
  
• Integration with existing systems
  

For instance, a basic blockchain-based solution may involve limited smart contract functionality, while enterprise platforms require advanced permission management, auditing, analytics, and compliance layers. This is exactly the reason why blockchain development cost in 2026 can vary significantly depending on project scope.

What Defines a Blockchain Platform

Many organizations underestimate the scope of a blockchain platform. A blockchain platform is not just a smart contract or decentralized application; it is a complete software ecosystem.

A typical blockchain platform includes:

• Consensus mechanism implementation
  
• Smart contract infrastructure
  
• Node management systems
  
• User identity and permission layers
  
• APIs and integrations
  
• Admin dashboards
  
• Monitoring and analytics
  
• Security layers
  

Each of these components requires specialized development and testing. Blockchain software development services typically include both infrastructure engineering and application-layer development, which is why blockchain software development cost is higher than traditional application development.

Types of Blockchain Platforms Enterprises Build

Enterprise blockchain platforms vary depending on business objectives. Different types of platforms require different levels of investment.

Public Blockchain Platforms

Public blockchain platforms allow open participation and decentralized validation. These platforms typically require advanced token logic and high scalability. Typical use cases include:

• Tokenized ecosystems
  
• NFT marketplaces
  
• Web3 platforms
  
• Decentralized finance applications
  

Public platforms usually require higher security investments and extensive smart contract testing.

Private Blockchain Platforms

Private blockchain platforms restrict access to authorized participants and are commonly used by enterprises. Common use cases include:

• Supply chain tracking
  
• Identity management
  
• Enterprise data sharing
  
• Internal record management
  

Private platforms often require integration with internal systems, which increases development complexity.

Consortium Blockchain Platforms

Consortium blockchains are operated by multiple organizations. These platforms require advanced governance and permission models. Typical use cases include:

• Banking networks
  
• Healthcare data sharing
  
• Trade finance
  
• Logistics networks
  

Consortium platforms typically involve the highest coordination and development complexity.

Core Components That Determine Blockchain Development Cost

Several technical components directly influence blockchain software development cost. Understanding these components helps organizations estimate budgets more accurately.

Blockchain Architecture

Architecture design defines how nodes communicate and how data is validated. Poor architecture decisions often lead to expensive redesigns later. Architecture planning includes:

• Consensus mechanism selection
  
• Network topology design
  
• Data storage structure
  
• Security model definition
  
• Scalability planning
  

Architecture design alone can require significant engineering effort for enterprise platforms.

Smart Contract Development

Smart contracts form the logic layer of blockchain platforms. Secure smart contract development requires careful design and testing. Smart contract work includes:

• Token logic implementation
  
• Business rule automation
  
• Permission management
  
• Upgrade mechanisms
  
• Security testing
  

Smart contract errors can be extremely costly, making security-focused development essential.

Platform Infrastructure

Blockchain infrastructure cost represents a major portion of total investment. Infrastructure typically includes:

• Node hosting
  
• Cloud services
  
• Storage systems
  
• Monitoring tools
  
• Backup systems
  
• Load balancing
  

Enterprise-grade platforms require infrastructure designed for reliability and scalability.

Integration Systems

Most enterprises need blockchain platforms to integrate with existing systems. Typical integrations include:

• ERP systems
  
• Payment gateways
  
• Identity systems
  
• APIs
  
• Analytics platforms
  

Integration complexity significantly affects development cost.

Real Blockchain Development Cost Ranges

In 2026, the cost to build a blockchain platform depends largely on complexity and scale.Typical enterprise cost ranges include:

Basic Blockchain Platforms

Basic platforms with limited functionality typically cost:

$25,000 – $60,000

These platforms usually include:

• Basic smart contracts
• Simple dashboards
• Limited integrations
• Small-scale infrastructure
  

Suitable for prototypes or pilot deployments.

Mid-Scale Blockchain Platforms

Production-ready platforms typically cost:

$60,000 – $150,000

These platforms usually include:

• Advanced smart contracts
  
• Scalable infrastructure
  
• Multiple integrations
  
• Security testing
  
• Admin dashboards
  

Most enterprise projects usually fall into this range.

Large Enterprise Blockchain Platforms

Enterprise-grade blockchain platforms typically cost:

$150,000 – $400,000+

These platforms usually include:

• Custom blockchain architecture
• High transaction throughput
• Advanced security systems
• Complex integrations
• Compliance features
• Monitoring systems
  

Large platforms require extensive engineering and infrastructure planning.

These ranges represent typical enterprise blockchain development cost estimates in 2026. However, the actual costs depend on architecture complexity and feature requirements.

Blockchain Infrastructure Cost Explained

Blockchain infrastructure cost continues after development. Ongoing infrastructure expenses are an important part of long-term planning. Typical infrastructure costs include:

• Cloud hosting services
  
• Node operation costs
  
• Data storage
  
• Monitoring tools
  
• Security services
  
• Maintenance support
  

Infrastructure costs typically represent 10–25% of development cost annually, depending on platform scale. Planning infrastructure early helps avoid unexpected operational expenses.

Development Team vs Development Company

One major cost decision involves whether to build an internal team or hire a blockchain development company.

Internal Development Team

Building an internal team requires:

• Blockchain engineers
  
• Backend developers
  
• DevOps engineers
  
• Security specialists
  
• Project managers
  

Internal teams provide control but require significant hiring and training investment.

Hiring a Blockchain Development Company

On the other hand, many enterprises choose to hire a blockchain development company to reduce development risk. The key benefits include:

• Experienced blockchain engineers
  
• Established development processes
  
• Faster delivery timelines
  
• Proven architectures
  
• Lower hiring overhead
  

Blockchain software development services provided by experienced teams often reduce long-term costs by avoiding architectural mistakes.

Hidden Costs Enterprises Often Miss

Many blockchain projects exceed budgets because hidden costs are not considered early. Some of the common hidden costs include:

• Architecture redesign
  
• Security improvements
  
• Infrastructure scaling
  
• Compliance updates
  
• Performance optimization
  
• Integration changes
  

Planning these factors early improves cost predictability.

Final Thoughts

Blockchain platforms require significant investment, but properly designed platforms provide long-term value through automation, security, and scalability.

The cost to build a blockchain platform in 2026 depends on architecture complexity, infrastructure requirements, and development scope. Organizations that plan carefully and work with experienced blockchain development teams are more likely to build platforms that scale successfully.

Enterprises planning blockchain platforms should focus not only on initial development cost but also on infrastructure and long-term scalability.

Working with an experienced blockchain development company like Antier plays a significant role in ensuring that blockchain platforms are built for both performance and long-term sustainability.