The future of automated crypto trading just became more powerful and accessible.

NeuralTrade.eu, one of Europe’s most advanced AI-powered trading systems, has officially expanded beyond Bybit and Binance. The platform now delivers full automated execution and intelligent risk management across Bybit, Bybit EU, Binance, OKX, OKX EU, and Kraken — with new exchanges (including KuCoin and others) being added continuously.

In a 24/7, high-volatility market where emotions can destroy capital in seconds, NeuralTrade stands out by combining institutional-grade quantitative models with real-time AI auditing — all in a fully non-custodial environment.

In cryptocurrency trading, one of the biggest challenges is identifying whether a price dip represents a healthy pullback within an uptrend or the beginning of a deeper bearish move.

Many profitable algorithmic trading systems address this problem by combining two well-known momentum indicators: the Commodity Channel Index (CCI) and the Relative Strength Index (RSI).

When used correctly, this combination can help traders and crypto trading bots identify high-probability pullback opportunities while filtering out many false oversold signals.

Why Pullback Entries Matter

Many inexperienced traders attempt to buy breakouts after a strong price rally. While breakout strategies can be effective, they often result in entering after much of the move has already occurred.

Professional traders and sophisticated crypto bots often prefer pullback entries because they offer:

• Better risk-to-reward ratios

• Tighter stop-loss placement

• Lower emotional pressure

• Improved long-term consistency

• Earlier entry into emerging trends

The challenge is determining when a temporary decline is simply a pullback rather than the start of a major trend reversal.

Understanding the CCI + RSI Combination

The two indicators complement each other remarkably well, balancing speed and confirmation.

RSI (Relative Strength Index)

RSI measures the speed and strength of price movements on a scale from 0 to 100.

• RSI above 70 suggests overbought conditions.

• RSI below 30 suggests oversold conditions.

• RSI between 40 and 50 often signals temporary weakness during an established uptrend.

CCI (Commodity Channel Index)

CCI measures how far price has deviated from its statistical average.

• CCI above +100 indicates strong bullish momentum.

• CCI below -100 indicates strong bearish momentum.

• CCI below -200 often signals extreme selling pressure.

Unlike RSI, CCI tends to react faster to short-term price extremes, making it useful for detecting pullbacks before momentum fully recovers.

Why Oversold Alone Is Not Enough

One of the most common mistakes traders make is buying simply because RSI or CCI enters “oversold” territory. In strong downtrends, both indicators can remain oversold for extended periods while prices continue falling.

Successful trading systems rarely buy just because an asset is oversold. Instead, they wait for evidence that selling pressure is weakening and momentum is beginning to recover. This is where the CCI + RSI recovery pattern becomes a powerful tool.

The High-Probability Pullback Setup & Risk Management

A common pullback filter used by many algorithmic trading strategies looks for the following conditions. While this setup can work on various timeframes, algorithmic bots typically see the highest reliability on the 1-Hour (1H), 4-Hour (4H), and Daily charts to filter out intraday market noise.

The Entry Checklist:

1. Trend Filter: Price remains above the long-term trend (SMA200 or EMA200).

2. RSI Condition: RSI drops below 45, but is now rising.

3. CCI Condition: CCI drops below -100, but is now rising.

4. Volume: Volume begins to stabilize or increase on green candles.

Risk Management Setup:

• Stop-Loss (SL): Placed strictly below the recent swing low of the pullback, or using a 1.5x ATR (Average True Range) buffer to avoid being wicked out.

• Take-Profit (TP): Scaled out at the previous swing high, aiming for a minimum 1:2 Risk/Reward ratio.

The goal is not to buy maximum fear. The goal is to buy when fear is fading and buyers are starting to regain control.

Example of a Strong Pullback Signal

Market Conditions:

• RSI: 38 → 41 (Recovering)

• CCI: -168 → -122 (Recovering sharply)

• Price: Trading safely above SMA200

• Volume: Above the 20-period moving average

• MACD Histogram: Showing light pink/improving bars

Interpretation: The asset remains inside a larger bullish structure while both RSI and CCI show that bearish momentum is weakening. The recovery in both indicators suggests that the pullback may be ending and that a new bullish impulse could be developing. This specific setup often yields win rates significantly higher than a simple oversold reading when backtested across major crypto assets.

Additional Filters Used by Professional Trading Bots

Most advanced crypto trading bots do not rely solely on RSI and CCI. To improve accuracy and win rates, they often combine the setup with additional confirmation factors such as:

• Positive MACD Histogram

• Rising On-Balance Volume (OBV)

• Positive Klinger Oscillator flow

• Favorable Bid/Ask ratio and Order Book analysis

• Multi-timeframe trend alignment

These extra layers help reduce the number of trades taken during weak or highly volatile market conditions.

Real-World Application: Automating the Strategy

Monitoring these conditions manually across dozens of crypto assets 24/7 is impossible for a human trader.

One powerful example of this approach applied automatically can be found at NeuralTrade.eu. As an AI-powered crypto trading system, NeuralTrade combines multiple technical indicators, volume analysis, order-book data, and machine-learning models to identify these exact high-probability pullback opportunities.

Within the system, the CCI + RSI recovery pattern acts as an early warning signal, while additional layers of risk-management determine whether the setup has sufficient confirmation to justify a trade. This multi-layer approach helps avoid the false signals that plague single-indicator strategies.

Final Thoughts

The CCI + RSI pullback strategy is much more than a simple oversold setup. Its real strength comes from identifying momentum recovery rather than merely detecting temporary weakness.

When combined with trend confirmation (SMA200), solid risk management, and multi-timeframe analysis, it becomes one of the most effective tools for spotting entries in volatile cryptocurrency markets.

While no indicator is perfect, traders and bots that focus on recovery signals consistently outperform those who blindly buy oversold conditions.

Disclaimer: This article is for educational purposes only and should not be considered financial advice. Cryptocurrency trading involves substantial risk, and past performance does not guarantee future results. Always conduct your own research and use proper risk management before making any investment decisions.

Tech Review: How NeuralTrade Merges Quantitative Trading with AI Risk Control

By CryptoNews24 AI, Crypto Technology, Guides & Reviews

While many crypto trading bots rely solely on fixed rules and technical indicators, NeuralTrade follows a more advanced hybrid approach, combining traditional quant logic with Artificial Intelligence in a smart and controlled way.

The Hybrid Decision Process

NeuralTrade doesn’t let AI make direct trading decisions. Instead, it uses a two-layer system:

1. Quantitative Engine The bot first analyzes the market using multiple technical indicators, volume profiles, order book data, and multi-timeframe structures. It identifies potential trading opportunities and calculates a raw signal strength.

2. AI Risk Auditor Before executing any trade, the system sends a structured summary of the current market conditions to an AI model. This includes trend context, key indicator readings, risk warnings, and the overall setup quality.

   The AI acts as an independent Risk Auditor, evaluating whether the proposed trade makes sense from a broader risk perspective. It considers factors such as market regime, potential traps, and alignment with macro conditions. Based on this assessment, the AI returns its opinion, which is then combined with the bot’s internal scoring and the user’s personal risk profile.

Only when both the quant engine and the AI Auditor align does the trade get executed. This creates a powerful “second opinion” mechanism that helps filter out emotionally attractive but technically risky setups.

A Defense-First Philosophy

This architecture allows NeuralTrade to be aggressive when conditions are favorable, but also highly cautious during uncertain or dangerous market environments. The AI is particularly effective at spotting classic pitfalls such as bull traps, false reversals, and overextended moves lacking real volume support.

By keeping the AI in an auditing role rather than full decision-making, NeuralTrade maintains transparency and control while benefiting from the adaptability and contextual understanding that only AI can provide.

Final Thoughts

NeuralTrade represents a maturing step in crypto automation — moving away from purely mechanical bots toward systems that combine systematic quant analysis with intelligent risk oversight. For traders who want automation without blindly trusting black-box decisions, this hybrid model offers a more balanced and thoughtful solution.

Available at: NeuralTrade.eu

Financial Disclaimer: Trading cryptocurrencies involves significant risk. Past performance is not indicative of future results. NeuralTrade is a non-custodial tool. Always trade responsibly.

Tech Review: How NeuralTrade Merges AI with Quant Crypto Trading via API

Automation in crypto trading isn’t new. However, the vast majority of retail bots rely on rigid rules—blindly following moving averages or basic indicators, unable to adapt to sudden market shifts. The result is often getting trapped in false breakouts or panic selling during minor dips.

Recently, a new project caught our attention due to its unique architectural approach. NeuralTrade is an automated trading system designed specifically for the Bybit exchange, attempting to solve the problem of “blind automation” by introducing Artificial Intelligence as a risk-control mechanism.

The Hybrid Architecture: Quant Logic Meets AI Auditor

The most interesting aspect of NeuralTrade is that it doesn’t let AI make arbitrary trading decisions; instead, it uses it as an “AI Auditor.”

The process works on two levels:

1. Multi-Timeframe Engine: First, the algorithmic engine scans the market, analyzing over 18 technical indicators (including Momentum, Volume flow, and Order Book depth) in real-time.

2. Dynamic Risk Curve: When the system identifies a valid setup, it pings the AI. The AI grades the macroeconomic safety of the trade on a scale of 1 to 10. The algorithm then mathematically combines this AI score with the user’s personal risk profile. If the combined strength passes a strict threshold, the trade is executed. This ensures that the bot behaves entirely differently for a conservative user versus an aggressive one.

A Defense-First Approach

Looking under the hood, it becomes clear that NeuralTrade prioritizes capital preservation over reckless gains. It incorporates strict “Hard Veto” mechanisms:

• Anti-FOMO & Volume Collapse Filters: If a coin’s price is pumping but the bot detects a sudden drop in volume or heavy sell walls in the Order Book, it automatically vetoes the trade. This effectively prevents users from buying the local top.

• Early Exit & Hold Protection: The system is designed to distinguish between a normal, healthy market pullback (where it holds the position) and a structural collapse (where it triggers an early exit to minimize losses before the Stop Loss is even hit).

Technical Specifications

In terms of execution and security, the project adheres to solid industry standards:

• 100% Non-Custodial: NeuralTrade connects to Bybit exclusively via API keys with trade-only permissions. It never has access to user funds or withdrawal rights.

• Dynamic TP/SL (ATR-based): Rather than using arbitrary static percentages (like a fixed 1% Take Profit), it dynamically calculates Stop-Loss and Take-Profit levels based on the market’s current volatility (Average True Range).

Conclusion: NeuralTrade presents a serious tool for traders looking for automation backed by institutional-grade risk management. It avoids promising “get-rich-quick” results, focusing instead on providing a mathematically sound shield against emotional trading and market traps.

For those interested in exploring its technology, the platform is available at NeuralTrade.eu.

Financial Disclaimer

Risk Warning: Trading cryptocurrencies involves significant risk and can result in the loss of your invested capital. The high volatility of the crypto market means that prices can swing dramatically in short periods.

NeuralTrade provides an automated tool for trade execution and market analysis based on neural networks and technical indicators. However, past performance is not indicative of future results. No algorithm or AI can guarantee profits or eliminate the risk of loss.

Non-Financial Advice: The content of this website and the services provided by NeuralTrade are for informational and automation purposes only and do not constitute financial, investment, or legal advice. You are solely responsible for your trading decisions and should consult with a professional financial advisor before engaging in any investment activity.

Non-Custodial Service: NeuralTrade is a non-custodial platform. While we provide the technology to execute trades via API, we do not hold, manage, or have access to withdraw your funds. Your assets remain on the third-party exchange (Bybit), and you are responsible for maintaining the security of your account and API keys.

The race to move artificial intelligence from conversation to execution is accelerating.

ai.com, a new consumer AI platform founded by crypto executive Kris Marszalek, is entering the market with autonomous AI agents designed to act on users’ behalf, not just answer prompts.

The company says its agents can organize work, execute tasks across apps and even build missing tools themselves, a step that could push AI deeper into everyday digital life.

From crypto scale to consumer AI ambition

ai.com is led by Kris Marszalek, best known as co-founder and CEO of Crypto.com, one of the world’s largest consumer crypto platforms.

Marszalek will continue to lead both companies, positioning ai.com as a mass-market AI play rather than a niche developer tool.

The platform allows users to generate a personal AI agent in about 60 seconds, with no coding or technical setup.

Unlike standard chatbots, these agents are designed to carry out actions like sending messages, managing calendars, automating workflows or building simple projects.

ai.com says agents can even create new capabilities on their own if a task requires functionality that does not yet exist.

Those improvements, once validated, are shared across the wider agent network. In theory, that creates a flywheel effect: the more agents are used, the more capable all agents become.

Marszalek has framed this as a decentralized system that could speed progress toward artificial general intelligence, or AGI: AI systems that can perform a wide range of tasks at a human-like level.

“We are at a fundamental shift in AI’s evolution as we rapidly move beyond basic chats to AI agents actually getting things done for humans,” said Kris Marszalek, Founder and CEO of ai.com.

Our vision is a decentralized network of billions of agents who self-improve and share these improvements with each other, vastly and rapidly expanding agentic capabilities and accelerating the advent of AGI.

ai.com will officially launch its agent product on February 8, 2026, with a high-profile advertising debut during Super Bowl LX on NBC.

Autonomy meets privacy and regulation

While the promise is bold, autonomous agents raise immediate questions around safety, privacy and accountability.

ai.com says each agent operates in a secure, isolated environment where user data is encrypted with individual keys and actions are limited strictly by user permissions.

That architecture will be tested quickly if agents are allowed to trade stocks, handle payments or interact with third-party platforms.

Financial regulators, in particular, are likely to scrutinize how responsibility is assigned when an AI agent makes a mistake or executes a harmful action.

The company says users will retain full control, with all actions permission-based. Still, the real challenge will be proving that consumer-grade autonomy can scale without introducing new risks.

ai.com is free to start, with paid subscription tiers offering more advanced capabilities.

Additional features under exploration include financial integrations, agent marketplaces and social networks connecting humans, agents and agencies.

For now, ai.com’s launch signals a shift in the consumer AI narrative, away from asking questions and toward getting things done.

The post ai.com launches autonomous AI agents that act for users, not just chat appeared first on CoinJournal.

ai.com launches autonomous AI agents that act for users, not just chat

Source: https://coinjournal.net/news/ai-com-launches-autonomous-ai-agents-that-act-for-users-not-just-chat/ ***

Bittensor’s TAO token was showing strong bullish momentum as the artificial intelligence-linked cryptocurrency segment recorded notable gains.

TAO ranked among the top performers over the past 24 hours, with traders eyeing a potential breakout above the $240 level.

Beyond the broader AI narrative, improving market sentiment ahead of key macroeconomic events and earnings releases has helped drive renewed interest in the decentralised AI token.

Bittensor price touches $240

Bitcoin’s move to above $90,000 on Wednesday, and Ethereum’s uptick to $3,000 headlined crypto stories in early trading sessions on January 28.

An anticipated Federal Reserve decision and Big Tech earnings, which highlight this week’s events, helped put risk assets back into an upward trajectory.

As the top coins heave at resistance levels, Bittensor and other AI tokens rallied.

TAO price jumped 5% as derivatives signalled retail interest, with trading volumes spiking alongside heightened open interest in futures markets.

Having retested the $240 level and briefly touched $241, bulls are likely to regroup and power to new intraday highs.

Macroeconomic tailwinds could catapult TAO higher.

TAO gains as AI tokens rally

Bittensor was not the only AI-linked token to post gains on the day.

Rallies in Render, Virtuals Protocol and the Artificial Superintelligence Alliance placed all three among the top gainers within the top 100 cryptocurrencies by market capitalisation.

RENDER, VIRTUAL, and FET rose between 5% and 9% over the past 24 hours, while smaller tokens such as Oasis, AI Companion and Kite recorded sharper advances.

The broad-based move higher points to a renewed upswing in the AI crypto segment, underscoring the strength of the sector’s narrative, with Bittensor continuing to stand out through its subnet-based ecosystem.

Improving sentiment across the category suggests potential accumulation, with large holders showing interest as asset managers roll out investment products that provide exposure to AI-focused digital assets.

Bittensor price forecast

Bittensor’s architecture incentivises AI model contributions via competitive subnets, which is driving adoption and value accrual.

Technical patterns signal a potential bullish breakout, with support targets above $240 likely if bulls dominate on strong volume.

On the 4-hour chart, Bittensor sports positive momentum indicators, including RSI recovery and MACD.

The latter paints a bullish crossover pattern, suggesting taking out bears above $240 might be pivotal for buyers.

On the flip side, support lies around the $235-$230 area. Bulls will be eyeing the artificial intelligence narrative and the Fed.

The post TAO price gains 5% as AI crypto segment posts broad rally appeared first on CoinJournal.

TAO price gains 5% as AI crypto segment posts broad rally

Source: https://coinjournal.net/news/tao-price-gains-5-as-ai-crypto-segment-posts-broad-rally/

Akash Network’s AKT token climbed sharply on Tuesday, rising about 15% over the past 24 hours as renewed investor interest in decentralized artificial intelligence infrastructure lifted prices across the sector.

While the advance lagged gains seen in tokens such as Hyperliquid, Pump.fun and Axie Infinity, AKT outperformed many of its peers, reflecting growing confidence in decentralized cloud platforms as alternatives to centralized providers.

AKT leads gains among decentralized AI tokens

The broader crypto market posted modest gains on January 27, but a handful of AI-linked tokens recorded outsized moves.

AKT rose to around $0.53, up from intraday lows near $0.41, placing it among the strongest performers in its segment.

Trading activity also accelerated sharply, with 24-hour volume jumping more than 600% to above $45 million.

The surge lifted AKT above many decentralized AI peers, including established projects such as Bittensor and Render, which posted more muted intraday advances.

Market participants attribute the rally to increased attention on Akash Network’s role in distributed AI inference, as demand for decentralized GPU compute continues to grow.

Analysts also point to signs of larger-holder activity and broader sector momentum as contributing factors.

Adoption narrative supports near-term outlook

Interest in AI-related crypto assets has increasingly shifted toward practical adoption rather than speculative themes.

Projects such as Render, Bittensor, NEAR, and Virtuals Protocol have all seen recent price strength tied to real-world usage of AI infrastructure.

Akash Network, which operates a decentralized cloud and GPU marketplace for AI training and inference, has benefited from that shift in focus.

Analysts say investor interest has been supported by the platform’s positioning within the expanding AI compute market.

From a technical standpoint, AKT is showing broadly constructive signals, although near-term indicators remain mixed.

Prices are consolidating around the $0.48 to $0.50 area, a zone that represents near-term supply.

A sustained break above this level would be needed to extend the rally.

If momentum continues and broader market conditions remain supportive, analysts see potential upside toward $0.74, a level backed by improving MACD signals and a recovering relative strength index.

Further out, $1 and $2 are viewed as longer-term reference points, having marked key peaks in the previous market cycle.

However, analysts caution that volatility remains elevated. Profit-taking could trigger pullbacks, with initial support seen in the $0.43 to $0.35 range.

The post Akash Network rallies 15% as demand grows for decentralized AI infrastructure appeared first on CoinJournal.

Akash Network rallies 15% as demand grows for decentralized AI infrastructure

Source: https://coinjournal.net/news/akash-network-rallies-15-as-demand-grows-for-decentralized-ai-infrastructure/ ***

What Is Bittensor?

At its core, Bittensor is a decentralized network for artificial intelligence. Instead of AI models being developed and controlled exclusively within the closed ecosystems of major tech companies, Bittensor enables developers worldwide to contribute machine learning models or computing intelligence to an open network.

Participants who provide high-quality AI outputs are rewarded with the network’s native token, TAO, while others can access and leverage these AI capabilities through the protocol. The result is a global, permissionless marketplace for intelligence itself.

In simple terms, Bittensor aims to create an open, competitive, and decentralized AI economy, where innovation is driven by collaboration rather than centralized control.

How Does the Network Work?

The Bittensor ecosystem is organized into subnets, each focused on a specific type of AI task. These can include areas such as text generation, embeddings, inference, or other specialized data and machine-learning functions.

• Miners contribute AI models and generate outputs.

• Validators evaluate the quality, relevance, and usefulness of those outputs.

• Rewards in TAO are distributed based on performance and contribution quality.

Unlike traditional crypto mining, rewards are not based on raw computing power alone, but on how valuable and accurate the AI output is to the network.

Why Is TAO Important?

Decentralizing Artificial Intelligence
Bittensor offers an alternative to the concentration of AI development within a handful of powerful corporations.

Incentivizing Innovation
By rewarding performance, the network encourages continuous improvement of AI models and specialization across different domains.

Real Utility
TAO is not merely a speculative asset. It is the mechanism that enables participation, coordination, and access within a productive AI ecosystem. As demand for decentralized AI services grows, demand for TAO naturally follows.

Challenges and Long-Term Outlook

Bittensor is still an early-stage and highly ambitious project. The technology is complex, and large-scale adoption across the AI industry remains a significant challenge. Competition with centralized AI platforms is intense, and usability will be key to future growth.

However, its vision is compelling.

For those who believe the future of artificial intelligence should be open, competitive, and globally accessible, Bittensor represents one of the most intriguing experiments in the crypto-AI space. It is not a memecoin or a short-term narrative, but an attempt to rebuild AI infrastructure from the ground up—this time without gatekeepers.

Check our Market Overview 

Disclaimer: This article is for informational purposes only and does not constitute financial advice. Always conduct your own research (DYOR).

At a time when the broader crypto market is moving sideways and trading volumes remain subdued, projects with clear utility and long-term vision tend to stand out — and Bittensor is one of them.

What Is Bittensor (TAO)?

Bittensor is a decentralized machine learning network designed to allow participants to collaboratively build, train, and improve AI models in an open, permissionless environment.

Unlike traditional, centralized AI platforms controlled by large corporations, Bittensor aims to create a global, decentralized intelligence network, where contributors are rewarded based on the value of the knowledge they provide.

The native token, TAO, is used for:

• rewarding miners and validators who contribute high-quality AI models,

• staking and securing the network,

• governance and participation in the protocol’s evolution.

Why Is TAO Gaining Attention Now?

Interest in TAO has increased significantly in recent months for several key reasons:

1. Strong AI Narrative
Artificial Intelligence continues to dominate global tech discussions. Bittensor positions itself as a decentralized alternative to centralized AI systems, aligning perfectly with both the AI and Web3 narratives.

2. Scarcity-Driven Tokenomics
TAO features a capped supply and emission mechanics that resemble Bitcoin’s model, reinforcing its long-term scarcity narrative and attracting investors looking beyond short-term speculation.

3. Growing Network Activity
The expansion of subnetworks, increased validator participation, and rising staking activity indicate that the Bittensor ecosystem is growing organically, not purely through hype.

Risks to Consider

Despite its strong fundamentals, TAO remains a high-risk altcoin:

• it is highly volatile,

• the project is technically complex,

• and its success depends heavily on broader adoption of decentralized AI solutions.

As with all altcoins, careful research and risk management are essential.

Final Thoughts

Bittensor (TAO) is not just another trend-driven token. It represents an ambitious attempt to reshape how artificial intelligence is developed, shared, and rewarded through decentralization.

As the crypto market searches for the next major growth narrative beyond Bitcoin and Ethereum, TAO stands out as a project worth watching closely in 2026.

Disclaimer: This article is for informational purposes only and does not constitute financial advice. Always conduct your own research (DYOR).

Check our Market Overview 

AI tokens have joined memecoins in starting the year higher, with Render price set for a potential retest of $3.

This comes as the cryptocurrency market kicks off 2026 with renewed vigor. Bitcoin has broken above $92,000 while Ethereum bulls have eyes on strengthening above $3,100.

Amid this, artificial intelligence-related tokens lead the broader recovery in altcoins, which in the past 24 hours, includes major gains for Virtuals Protocol and Artificial Superintelligence Alliance.

Pepe soared to lead memecoin’s rebound last week.

RENDER price gains 15% as AI tokens lead crypto bounce

The Render project offers a decentralized GPU rendering network, and ranks as one of the top AI tokens in the crypto space.

Amid an overall spike for AI coins, its native token has surged by more than 15%.

This move in the past 24 hours has seen the token top the $2.10 mark, with the uptick riding an intraday pump in buying pressure.

Per CoinMarketCap, over $139 million in Render has been traded in this period.

On a weekly basis, RENDER has posted over 56% gains. This aligns with a broader rebound in the AI crypto segment, where related projects have demonstrated even stronger momentum.

For instance, FET has advanced by more than 15% in the past day and 30% this past week.

Elsewhere, Virtuals Protocol (VIRTUAL) has rallied more than 25% and 51% in the same time frames, respectively.

Render price hovered near $2.07 at the time of writing.

Bitcoin price buoys altcoins

The gains for RENDER and other AI tokens have materialized against a backdrop of positive developments in the broader market.

After struggling at the end of 2025, Bitcoin is showing strength as the price breaks above $92,000.

BTC’s upside looks to have bolstered risk appetite across digital assets, even as geopolitical tensions escalate.

Recent US military actions in Venezuela, including strikes and the capture of President Nicolás Maduro, have introduced uncertainty.

However, market participants appear to view these events as contained.

Bulls are prioritizing Bitcoin’s strength and potential implications for energy markets over immediate risk-off sentiment.

RENDER price forecast

As the new year unfolds, AI tokens are joining memecoins in delivering robust early performance.

While investors could yet rotate into top coins, the early moves have the likes of Pepe (PEPE) and Shiba Inu (SHIB) ranking among the top weekly performers.

Retail enthusiasm amid some level of certainty will be good for small caps.

In this case, RENDER could eye a breakout to $3 or higher.

The charts show technical indicators pointing to constructive momentum.

A look at the weekly Relative Strength Index (RSI) suggests a potential upside continuation.

Buyers may nonetheless have to contend with the resistance zone highlighted by the weekly moving average.

The post AI tokens lead crypto rebound as Bitcoin Breaks $92,000, Render jumps 15% appeared first on CoinJournal.

AI tokens lead crypto rebound as Bitcoin Breaks $92,000, Render jumps 15%

Source: https://coinjournal.net/news/ai-tokens-lead-crypto-rebound-as-bitcoin-breaks-92000-render-jumps-15/

Check our Market Overview 

Disclaimer: This article is for informational purposes only and does not constitute financial advice. Always conduct your own research (DYOR).