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How AI Predictive Analytics is Redefining Risk Management in Tokenized Asset Portfolios?

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Designing Prediction Market Modules For White Label BaaS

Tokenized asset portfolios are rapidly becoming a core component of modern digital finance. By converting real-world and financial assets into blockchain-based tokens, enterprises unlock greater liquidity, fractional ownership, and global market access. While these advantages are significant, they also introduce a level of complexity that traditional risk management frameworks were never designed to handle. This growing complexity has accelerated the adoption of AI-powered financial analytics to improve visibility and decision-making across digital investment ecosystems.

Unlike conventional portfolios that operate within defined market hours and centralized systems, tokenized assets function in a continuous, decentralized environment. Risk factors evolve in real time, driven by on-chain activity, secondary market behavior, protocol dependencies, and regulatory developments. In such an ecosystem, identifying risk after it has already materialized is both inefficient and costly, making advanced AI in risk management a critical requirement rather than an optional enhancement.

This reality is pushing enterprises and institutional investors toward predictive risk management. AI predictive analytics enables organizations to anticipate potential risk scenarios before they escalate, allowing for timely intervention and informed decision-making. Rather than reacting to volatility, liquidity shocks, or compliance issues, enterprises can proactively manage exposure across tokenized asset portfolios using data-driven forecasting models.

Key drivers behind the need for predictive risk management include:

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  • Continuous market operations: Tokenized assets trade 24/7, increasing exposure to sudden market shifts and reinforcing the need for real-time Tokenized assets risk analysis.
  • Data-rich environments: Massive volumes of on-chain and off-chain data require intelligent interpretation through AI-powered financial analytics to extract meaningful risk insights.
  • Dynamic portfolio exposure: Asset correlations and liquidity profiles change rapidly in tokenized ecosystems, increasing demand for AI-enhanced portfolio risk optimization.

The New Risk Landscape of Tokenized Asset Portfolios

Tokenization is changing investments and transforming how investors view risks in their portfolios. While traditional asset portfolios have mostly well-defined risks (e.g., market volatility, credit risk, macroeconomic conditions), tokenized portfolios span multiple markets and three distinct areas – financial markets, blockchain infrastructure, and digital asset performance. This convergence has elevated the role of Artificial intelligence in investment risk analysis, as manual risk models struggle to process these interconnected variables.

This convergence introduces a new and unique set of uncertainties that necessitate holistic risk assessments; therefore, risk is no longer just about asset performance, but how the technology layers, market infrastructure, and regulatory interpretations affect portfolio risk.

1. Market Risk

Risk in the tokenized marketplace is exacerbated by numerous buys and sells, speculative trading, and a speculative trading environment. Because of the short-term nature of many Tokenized Assets (TAs), their prices could be significantly misaligned with their underlying asset’s industrial value due to issues such as lack of liquidity, speculative trading behavior, and larger movements in the broader cryptocurrency market. If not monitored regularly, the volatility associated with TAs may produce large impacts to portfolio value, highlighting the importance of AI predictive analytics for forward-looking risk assessment.

2. Liquidity Risk

Liquidity for TAs is typically highly fragmented (e.g., decentralized exchanges, centralized exchanges, OTC brokerage accounts) and may appear adequate prior to periods of stress; however, when stress occurs, liquidity may be very limited. As such, it becomes essential to apply AI-enhanced portfolio risk optimization techniques to anticipate liquidity constraints when planning and executing exit strategies and allocating capital.

3. Risk with Smart Contracts

Smart contracts determine how to create, distribute and move tokenized assets from one person to another. Systemic risk can arise from improper contract logic, security holes in the contract or poor upgrade management. The risk is of a technical nature; however, financial ramifications will be direct, making automated Tokenized assets risk analysis increasingly necessary.

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4. Risk due to Regulation

Tokenized assets are often used across multiple jurisdictions and have changing compliance laws and regulations. Changes to the laws surrounding compliance, reporting and asset classification will change the structure of portfolios and compiler will have participation. Predictive compliance monitoring using AI in risk management helps enterprises stay ahead of regulatory shifts.

5. Operational Risk

Reliance on oracles, custodians, blockchains and other third-party services is a potential point of failure in operations. Failure at one of these points will impact either the availability of the asset, the accuracy of its price or the completion of a transaction, reinforcing the need for AI-powered financial analytics across operational layers.

Build AI-Powered Risk Intelligence Into Your Tokenization Stack

Why Traditional Risk Models Fall Short in Tokenized Markets

Traditional risk management frameworks were developed for centralized financial systems with predictable reporting cycles and limited data sources. While effective for legacy portfolios, these models struggle to address the dynamic nature of tokenized assets, particularly when compared to modern Artificial intelligence in investment risk frameworks.

Conventional models rely heavily on historical data and assume relatively stable market behavior. Tokenized markets, however, evolve in real time and generate risk signals that require immediate analysis supported by AI predictive analytics.

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Key limitations of traditional risk models include:

  • Backward-looking analysis: Historical performance fails to capture emerging on-chain trends identified through Tokenized assets risk analysis.
  • Static assumptions: Fixed correlations and volatility assumptions do not reflect real-time dynamics captured through AI-enhanced portfolio risk optimization.
  • Delayed response cycles: Manual reviews and periodic reporting slow down decision-making in environments requiring real-time AI in risk management.
  • Limited data integration: Inability to process blockchain data, smart contract activity, and decentralized liquidity metrics without AI-powered financial analytics.

As a result, risk is often identified only after losses occur, making mitigation reactive rather than preventive.

How AI Predictive Analytics Changes Risk Assessment

AI analytics is transforming the way risk is assessed and managed in a tokenized portfolio. AI predictive analytics employs machine learning, statistical modeling and real-time data to provide continuous risk assessments as conditions change, redefining AI in risk management practices.

AI models provide more than just static thresholds or historical averages for making risk assessments; they continuously evolve to reflect historical data while also incorporating live market and blockchain data. This allows for risk assessments based on future probabilities and scenarios, strengthening Artificial intelligence in investment risk strategies.

Here is how AI is changing risk assessments:

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  • Continuous intelligence: Real-time updates to risk metrics as new information comes in through AI-powered financial analytics.
  • Pattern recognition: Machine learning recognizes correlations and patterns in data sets that a human may not be able to recognize, enabling deeper Tokenized assets risk analysis.
  • Predictions based on probability: Risk is assessed based on probabilities of occurrence and impact, not historical averages, supporting AI-enhanced portfolio risk optimization.

The result is a shift for enterprises to move from traditional methods of risk reporting to anticipating future risks, thereby improving their overall resilience in managing their tokenized asset portfolios.

Key Predictive Risk Capabilities Powered by AI

AI-powered risk management platforms provide specialized capabilities that are particularly suited to tokenized asset ecosystems and enterprise-grade AI in risk management.

1. Forecasting Volatility

To determine future volatility, AI analyzes an assortment of factors including historical prices, volume of trades, depth of the order book and sentiment indicators. These insights support AI predictive analytics by allowing portfolio managers to anticipate price swings and manage exposure proactively.

2. Liquidity Stress Testing

Using simulated market stress events, predictive analytics evaluates liquidity behavior across venues. This form of Tokenized assets risk analysis is critical for large institutional exits and capital preservation.

3. Scenario Simulation & Stress Analysis

AI allows for advanced scenario modeling under regulatory changes, downturns, or macroeconomic shocks, strengthening AI-enhanced portfolio risk optimization strategies.

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4. Anomaly Detection and Risk Signals

By continuously scanning transaction flows, smart contract data, and market behavior, AI systems enhance Artificial intelligence in investment risk monitoring by detecting early warning signals.

Where AI-Driven Risk Intelligence Delivers the Most Value

AI predictive analytics delivers the greatest value in tokenized portfolios that involve complex assets, long investment horizons, or regulatory oversight. Proactive AI-powered financial analytics helps preserve capital and maintain investor confidence.

High-impact application areas include:

  • Tokenized real estate and infrastructure: Predictive valuation and liquidity modeling using AI in risk management
  • Private credit and debt instruments: Default risk forecasting through Tokenized assets risk analysis
  • Commodity-backed assets: Volatility and supply-demand forecasting enabled by AI predictive analytics
  • Institutional multi-asset portfolios: Cross-asset correlation and AI-enhanced portfolio risk optimization

From Reactive Controls to Predictive Risk Management: How Antier Enables the Shift

As organizations build Tokenized asset portfolios that are larger and more complex than ever before, they require more sophisticated risk controls. Antier addresses this need by delivering enterprise-ready frameworks built on AI-powered financial analytics, AI predictive analytics, and advanced blockchain intelligence.

Antier’s AI-driven blockchain solutions enable organizations to move beyond reactive controls and embrace predictive, data-driven AI in risk management. By combining real-time on-chain data with off-chain market intelligence, Antier strengthens Artificial intelligence in investment risk capabilities across tokenized ecosystems.

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By embedding predictive intelligence into tokenized asset operations, Antier enables enterprises to implement scalable AI-enhanced portfolio risk optimization, preparing portfolios for market volatility, regulatory change, and operational complexity.

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When Will Bitcoin’s (BTC) Bear Market End? 4 AIs Predict the Turning Point

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When Will Bitcoin's (BTC) Bear Market End? 4 AIs Predict the Turning Point


“Right now, we are in the confusion phase,” ChatGPT claimed.

Bitcoin (BTC) has been in an evident downtrend over the past few months, which intensified at the start of February. This caused analysts and market observers to claim that the asset has entered a bear market.

Investors are now perhaps curious to find out when that period will be over, so we consulted four of the most popular AI-powered chatbots to give their take on the matter.

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Brace for Several More Months

According to ChatGPT, BTC is likely in the middle-to-late stage of the bear phase rather than the beginning. However, it suggested that there is a strong possibility for a final shakeout before entering a slow accumulation stage.

The chatbot pointed out that in previous cases, Bitcoin’s bear market has rarely ended dramatically, and its conclusion looked “quiet and uninteresting.”

“Right now, we are in the confusion phase – which historically is closer to the end than the beginning,” ChatGPT added.

Perplexity predicted that the bear phase could end in the second quarter of the year, assuming that the negative sentiment among investors lately has marked the bottom zone. Earlier this month, the popular Fear & Greed Index plummeted to “Extreme Fear” territory of 6, a level last observed in August 2019.

This reflects the panic across market participants following the recent decline; however, it may also be interpreted as a buying opportunity. After all, renowned investors and prominent figures, including Warren Buffett, have long advised that investors should step in when prices are collapsing and exit the ecosystem when “Greed” dominates.

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According to Perplexity, the potential end of the bear market in Q2 might be followed by consolidation and a renewed bull run towards the end of 2026. It went even further, forecasting that BTC’s valuation could hit a new all-time high of around $150,000 before New Year’s Eve.

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A Lot More Pain?

Grok, the chatbot integrated into the social media platform X, outlined a more pessimistic viewpoint. It claimed that the bears will remain in charge until the end of the year, adding that there might be a further crash to as low as $55,000. The chatbot warned that, in the event of a global geopolitical event, such as a major war, the price could tumble further than the depicted level.

Google’s Gemini presented a similar scenario. It expects subdued performance until late 2026 as the market prepares for the 2027-2028 run toward new peaks.

“If the current cycle follows the ‘four-year’ script, the absolute capitulation point (the ‘true bottom’) may not arrive until late 2026, especially around October or November,” it stated.

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Ault Capital Group Unveils Ault Blockchain Public Testnet

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Ault Capital Group Unveils Ault Blockchain Public Testnet

[PRESS RELEASE – Las Vegas, Nevada, February 11th, 2026]

Ault Capital Group today announced the public testnet launch of Ault Blockchain, a Layer 1 network designed for trading, settlement, and institutional-grade onchain infrastructure. This launch marks the first public release of the protocol and opens access to developers, infrastructure operators, and early network participants.

Ault Blockchain is built as a Cosmos-based Layer 1 with full Ethereum Virtual Machine compatibility, enabling Ethereum-native smart contracts and tooling to run without modification. The network is governed by Ault DAO, which oversees protocol rules, economic parameters, and long-term upgrades through onchain governance.

The public testnet provides a live environment for evaluating core network functionality, validator performance, and infrastructure design. This early access seeks community engagement and feedback by contributors who add value to the network’s development and stability.

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In contrast to typical launch models, Ault Blockchain will not conduct a public token sale. Instead, the native AULT token will be distributed exclusively through a protocol-controlled emissions schedule tied to measurable network participation, including consensus security and licensed infrastructure operations rather than speculative activity.

Milton “Todd” Ault III, founder and executive chairman of Ault Capital Group, said: “Ault Blockchain was built the opposite way most networks are built. We started with real financial use cases and then designed the blockchain to support them. Participation is based on defined roles and verifiable work, not speculation, with transparent economics that are meant to support long-term network health from day one.”

The network launch is supported by a group of established infrastructure and development partners. B-Harvest serves as Ault Blockchain’s primary development partner, contributing to protocol engineering and core network architecture. Xangle focuses on development of Ault’s official explorers and relevant hubs.QuickNode provides RPC infrastructure to support network access and reliability. Finally Protofire supports Safe-related tooling across EVM environments.

Ault Blockchain introduces a licensed participation framework for infrastructure operators. Licensed Mining Nodes are authorized to perform defined off-chain services, beginning with cryptographic randomness at launch. In parallel, Proof-of-Stake validators and delegators secure network consensus and collect transaction fees under transparent, DAO-governed economics. After launch, the core team will shift its focus to the core team’s roadmap including spot trading on decentralized exchanges, lending services, perps trading, and other advanced workloads are being explored and may deploy over time as the network evolves.

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Ault Blockchain’s testnet launch follows the completion of an initial protocol security audit and precedes further validator onboarding and ecosystem testing. Ault Blockchain’s mainnet launch will occur after additional testing milestones are met. At genesis, the chain will launch with its core protocol modules, EVM compatibility, an initial validator set, and onchain governance in place, marking a new era for institutional finance.

To learn more about Ault Blockchain, visit https://Aultblockchain.com and read project documentation to view the testnet scanner go to the following link . https://ault-evm-testnet.explorer.xangle.io/home

About Ault Blockchain

Ault Blockchain is a finance-first, institutional-grade Layer-1 blockchain designed to support trading, settlement, and data-driven workloads. Built on the Cosmos SDK with full Ethereum Virtual Machine compatibility, the network enables unmodified Ethereum smart contracts while providing fast finality and native cross-chain interoperability.

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Governed onchain by Ault DAO and supported by a licensed infrastructure framework, Ault Blockchain aligns network economics with verifiable participation rather than speculative token distribution. With real-world financial and analytics applications launching from day one, Ault Blockchain is optimized for next-generation onchain finance.

About Ault DAO

Ault DAO is the decentralized governance body responsible for overseeing the Ault Blockchain protocol. The DAO was created by and is overseen by Ault DAO, LLC, a Wyoming DAO LLC. Through onchain governance, the DAO manages protocol parameters, validator participation, and network upgrades, ensuring transparent and community-driven decision-making aligned with the network’s long-term objectives.

About Ault Capital Group

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Ault Capital Group is a diversified investment and holding company focused on technology-driven businesses, digital assets, and financial infrastructure. Through its operating companies and strategic investments, Ault Capital Group supports platforms across blockchain, data infrastructure, and emerging technologies. The firm emphasizes disciplined capital allocation and long-term value creation.

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Arbitrum price forecast: what’s next amid 45% ARB downturn?

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Arbitrum ARB Token Symbol
Arbitrum ARB Token Symbol
  • Arbitrum price hovered near $0.10 as cryptocurrencies saw fresh declines.
  • The token was down nearly 20% in the past week and 45% over the past month.
  • Robinhood Chain has launched its public testnet on Arbitrum.

Arbitrum (ARB) traded around $0.10 at the time of writing on Wednesday, with bulls looking to break above $0.11 following an intraday dip amid broader market weakness.

Ethereum and XRP prices were all down on the day as Bitcoin dropped under $65k again.

The slight dip for ARB as of early US trading hours came as the latest network developments saw Robinhood announce the public testnet launch of its real-world asset platform on Arbitrum.

Arbitrum price hovers near $0.10

The ARB token traded at highs of $0.22 on January 14, 2026. However, as bearish sentiment that has carried from Q4, 2025 decimated crypto bulls, ARB steadily fell and hit lows of $0.099 on Feb 5.

Despite a bounce to $0.12, prices are back near this critical level.

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On Wednesday, broader weakness remained a key factor across crypto.

However, Arbitrum shared news that the Robinhood Chain was now live in public testnet, and developers can tap into its infrastructure to support tokenized real-world and digital assets.

From a network growth viewpoint, this is hugely positive news for Arbitrum.

But can bulls ride it as a fresh catalyst for a rebound? The altcoin is down more than 20% in the past week and by over 45% in the past month.

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Arbitrum price forecast

As noted, the ARB token has experienced a sharp decline since peaking at highs of $0.62 in August 2025.

The October 10 crash saw it plummet to lows of $0.10.

Prices briefly steadied to $0.36, but the overall downtrend resumed and ARB broke to $0.094 amid the February 5, 2026, crypto market route.

That crash below the critical support level of $0.10 accelerated the weakness, and an extended downtrend of five months saw the token hit its all-time low.

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ARB price is up 13% from that low, but in terms of technical analysis, the daily chart shows ARB continues to trend with an entrenched bearish structure.

For instance, the current price is below the 20-day EMA, which offers upside resistance around $0.13.

Arbitrum Price Chart
ARB price chart by TradingView

Meanwhile, the Relative Strength Index (RSI) hovers in oversold territory at 24, signaling potential exhaustion.

However, there’s no immediate reversal formation yet, and the Supertrend indicator is flashing bearish signals.

The price trajectory points lower, and short-term bearish continuation could see ARB dip to a new all-time low under $0.09.

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On the flipside, if oversold conditions trigger a bounce, the further strength above $0.13-$0.15 highlights the next targets at $0.22 and $0.35.

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BlockFills halts withdrawals, restricts trading, according to reports

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BlockFills halts withdrawals, restricts trading, according to reports

Amid sharp, mostly downward volatility in crypto markets, BlockFills has halted withdrawals and restricted trading on its platform, according to reports in Mining Mag and the Financial Times.

Based in Chicago and backed in part by market-making giant Susquehanna Investment Group, BlockFills saw $60 billion in trading volume last year, according to the FT.

“In light of recent market and financial conditions, and to further the protection of clients and the firm, BlockFills took the action last week of temporarily suspending client deposits and withdrawals,” a spokesperson told the newspaper.

“Clients have been able to continue trading with BlockFills for the purpose of opening and closing positions in spot and derivatives trading and select other circumstances,” the spokesperson said.

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BlockFills’ moves come as the months-long slide in crypto prices accelerated into a full-blown crash last week. Bitcoin plunged to as low as $60,000 before bouncing to its current $67,000, still down about 50% from its record high last October.

The action is reminiscent of 2022’s crypto winter, which saw numerous platforms forced to suspend withdrawals as the bear market deepened, with many of them ultimately collapsing.

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Silver Price Stabilises | Market Pulse

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Silver Price Stabilises | Market Pulse

As indicated by today’s ATR reading on the XAG/USD chart, trading activity has returned to the more normal levels seen prior to the third week of January, when:

→ silver entered a phase of exuberant growth towards its record high around the $120 mark;
→ this was followed by a dramatic collapse towards the $75 area.

The volatility indicator has now fallen back to customary levels, suggesting that supply and demand are gradually moving into balance.

Yesterday’s release of weaker US retail sales data could have served as a bullish catalyst for gold and silver, as signs of slowing economic activity ahead of key employment figures tend to increase demand for safe-haven assets. However, this did not occur, reinforcing the view that the market is stabilising.

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On 2 February, when analysing the XAG/USD chart, we wrote:

“Even if silver attempts to turn higher under the current conditions of extreme oversold territory, it may encounter a strong resistance zone in the $87.5–95 range, where bears previously demonstrated clear dominance by breaking the long-term ascending channel.”

Indeed, the highlighted area not only halted the recovery impulse but also — after forming a head and shoulders reversal pattern — pushed silver down to a lower low.

Price action analysis allows for several important observations:

→ the V-shaped rebound below the psychological $70 level appears to reflect the liquidation of a cascade of buyers’ stop-loss orders, followed by a wave of buying that signals aggressive demand;
→ the bullish gap around $78 now appears to be acting as support.

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In light of the above, it is reasonable to conclude that the XAG/USD market may continue developing a consolidation phase, fluctuating between two key zones:

→ resistance near $95;
→ support around $70.

For a long-term outlook on silver prices, see this article.

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This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.

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Bitcoin Fails To Pass $69,000 In A US Nonfarm Payrolls Reaction

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Bitcoin Fails To Pass $69,000 In A US Nonfarm Payrolls Reaction

Bitcoin (BTC) saw flash volatility around Wednesday’s Wall Street open as US jobs data came in well above expectations.

Key points:

  • Bitcoin attempts to rescue the day’s losses on the back of stronger US nonfarm payrolls data.

  • Mixed signals result in risk assets diverging in their reactions to the numbers.

  • Bitcoin traders stay wary of a deeper BTC price dip to come.

Analysis: Fed interest-rate pause to “continue”

Data from TradingView tracked a BTC price spike to nearly $69,000 which quickly retraced, extending daily losses past 4% at the time of writing.

BTC/USD one-hour chart. Source: Cointelegraph/TradingView

US nonfarm payrolls outperformed considerably on the day, with 130,000 jobs added in January versus the anticipated 55,000.

US civilian unemployment data. Source: Bureau of Labor Statistics

Strong labor-market numbers tend to imply less need to lower interest rates — typically a headwind for crypto and risk assets. At the same time, the reduced likelihood of recession creates a nuanced picture for risk-asset performance.

As such, the S&P 500 initially gained 0.5%, while the Nasdaq Composite Index fell 0.6% before both retraced their moves.

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Precious metals also saw uncertain price action, with gold hitting new February highs before giving back gains to target $5,000 support.

XAU/USD four-hour chart. Source: Cointelegraph/TradingView

Reacting, trading resource The Kobeissi Letter additionally referenced cooling unemployment in predicting that the Federal Reserve would hold rates steady at its March meeting.

“The unemployment rate FELL to 4.3%, below expectations of 4.4%. This was a much stronger than expected jobs report, all around the board,” it wrote in a post on X. 

“The Fed pause will continue.”

Fed target rate probabilities for March FOMC meeting (screenshot). Source: CME Group

The latest data from CME Group’s FedWatch Tool put the odds of a March rate pause at over 90%.

Attention now focused on Friday’s Consumer Price Index (CPI) print for further cues as to the path of inflation.

Trader eyes BTC price “slow bleed” toward $50,000

Commenting on recent BTC price action, traders remained unimpressed and skewed toward fresh downside.

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Related: BTC traders wait for $50K bottom: Five things to know in Bitcoin this week

Daan Crypto Trades brought in Fibonacci retracement levels at $64,569, $62,474 and $59,805 while eyeing the potential for a deeper retracement.

“Pretty weak showing overall after the initial bounce. Bulls failed to push higher past that $72K+ mark and instead saw price break down again,” he summarized

“Unless ~$68k is retaken, the fib retracement levels are the ones to watch in the short term.”

BTC/USDT perpetual contract one-hour chart. Source: Daan Crypto Trades/X

Earlier, Cointelegraph reported on $69,000 having key long-term significance, with the risk of an extended rangebound environment developing around that level now higher.

$50,000 BTC price bottom targets also persisted, with trader Jelle arguing that BTC/USD was copying 2022 bear market trajectory “closely.”

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“Would see a relatively slow bleed towards the low $50ks from here – before bouncing back up; if it keeps playing out the same,” he told X followers.

“Lots of people talk about buying there. I wonder if they will if price gets there.”

BTC/USD 2022 chart fractal. Source: Jelle/X