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Bitcoin Price Prediction: Will BTC Hold? Or A Drop Is Inevitable?

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Bitcoin price prediction as BTC faces another rejection. Analyzing key support levels and what to expect next.

Bitcoin (BTC) price is struggling to maintain footing above $68,000 today, down 1% as the prediction of selling pressure mounts following a rigid rejection at the $76,000 ceiling a week ago. The market leader is currently navigating a perilous consolidation phase analysts call a “No-Trade Zone,” where conflicting signals between derivatives data and spot buying are creating high volatility.

The rejection at higher levels coincides with a distinct shift in institutional sentiment, evidenced by ETF flows showing signs of reversal amid broader geopolitical uncertainty.

On-chain data from Santiment reveals that large wallet holders, specifically those with significant BTC balances, trimmed positions on the 22nd, dropping collective holdings from 1.15 million to 1.14 million BTC. This distribution suggests that without a decisive catalyst, the path of least resistance remains sideways to down.

Bitcoin price prediction as BTC faces another rejection. Analyzing key support levels and what to expect next.
BTC ETFs flows, Coinglass

Can BTC Hold the $65,000 Support Level Amid Bear Flag Fears?

Bitcoin price technical structure on the 1-day chart presents a precarious setup for bullish prediction. Trading just above $68,000, BTC is oscillating within a narrowing range defined by fading buyer strength.

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The immediate concern is the massive volume node between the $70,700 and $63,500 area, where approximately 1.72 million BTC have been transacted. This range acts as a critical battleground; a loss of the lower bound could trigger a cascading liquidation event.

Technically, the formation of a bear flag following the recent 39% flagpole decline raises the risk of a deeper capitulation. If sellers force a daily close below the $63,700 trigger level, Fibonacci extension targets suggest downside exposure toward $57,000 and potentially $52,700.

Bitcoin price prediction as BTC faces another rejection. Analyzing key support levels and what to expect next.
Bitcoin USD, TradingView

Conversely, momentum indicators like the RSI are flattening, hinting at a potential hidden divergence that typically precedes a reversal, but confirmation is absent. (Where are the bulls waiting? Likely at the 200-day SMA near $93k or lower trendline support.

For the bullish case to regain validity, price action must decisively reclaim the $71,000 mid-range resistance. Until then, the divergence between stabilizing smaller wallets (1k-10k BTC) and profit-taking mega-whales paints a picture of a market in conflict, often resulting in extended consolidation before the next major impulse.

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Bitcoin Price Prediction Is Down, But Investors Rotate to Infrastructure as Hyper Targets SVM Scalability

While spot Bitcoin struggles with overhead resistance, smart money creates a noticeable trend of capital rotation into high-beta infrastructure plays. Investors often hedge against mainnet chop by allocating to Layer 2 protocols that promise to solve Bitcoin’s velocity constraints. Leading this surge is Bitcoin Hyper ($HYPER), the first-ever Bitcoin Layer 2 to integrate the Solana Virtual Machine (SVM).

The project has defied the broader market pullback, amassing an impressive $32 Million in its ongoing presale. Bitcoin Hyper aims to deliver sub-second finality and high-speed smart contracts directly to the Bitcoin ecosystem, effectively bridging the gap between Bitcoin’s security and Solana’s speed. Current data prices $HYPER at $0.0136 with 36% APY on staking rewards.

This massive fundraising milestone indicates that investors are rotating toward infrastructure capable of unlocking trillions in dormant BTC capital. By utilizing a Decentralized Canonical Bridge, Bitcoin Hyper allows seamless asset transfers, addressing the critical lack of programmability on the main chain. While emerging Layer 2s carry inherent execution risks, the sheer volume of capital raised suggests the market views SVM integration as a necessary evolution for Bitcoin.

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Those looking to position themselves before next-generation L2s go live can research Bitcoin Hyper here.

The post Bitcoin Price Prediction: Will BTC Hold? Or A Drop Is Inevitable? appeared first on Cryptonews.

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Tron DAO Scales AI Fund to $1B for Agentic Economy

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Payments, AI, Tron

TRON DAO has scaled up its artificial intelligence fund by a factor of ten, from $100 million to $1 billion, targeting investments in and acquisitions of early-stage startups building core infrastructure for the agentic economy.

The billion-dollar fund, announced on Monday, will focus investments in four areas: agent identity systems, stablecoin-based payment rails, tokenized real-world assets (RWA), and developer tooling for autonomous financial systems.

The expansion is built on Tron DAO’s theses dating back to 2023, which foresees stablecoins becoming the practical medium of exchange between AI agents, stablecoins becoming the natural payment layer for “AI-augmented people,” and the rise of tokenized equity. 

Blockchains race to support agentic AI

Tron is just one of many crypto-native ecosystems to expand investment into AI by targeting the agentic payment economy. Solana and Base have also made moves to expand into this nascent field; others recently include Visa, Stripe, and World. 

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In September, the Ethereum Foundation formally entered the agentic AI race with the launch of the “dAI Team,” which aims to make Ethereum the “preferred settlement and coordination layer” for AI agents and the machine economy. 

However, it is a notable contrast to TRON’s approach as Ethereum is positioning itself as a trust and coordination layer rather than a payments rail, leaning into its decentralization ethos rather than competing on speed and fees.

Payments, AI, Tron
Agentic payment volume on the x402 protocol has spiked recently. Source: Artemis

Tron scaling to support AI agents, Justin Sun says

Tron said its blockchain is positioned to serve the future agentic economy with 370 million user accounts, more than $21 billion in daily transaction volume, and over $85 billion in circulating USDt (USDT).

Tron founder Justin Sun previously told Cointelegraph that many AI agent use cases involve small, frequent transactions, “which require networks that are fast and inexpensive to use.” 

Average confirmation times are about three seconds on TRON, compared with roughly 12 seconds on Ethereum, “making it well-suited for high-frequency transactions,” he said, citing an Arkham report.

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Related: Agentic AI commerce may spell the end of internet ads: a16z Crypto

Regarding scaling, he said the real question is what happens if AI agents move from a handful of applications to mainstream machine-to-machine commerce.

“To support this shift, infrastructure is beginning to develop around the ecosystem,” he continued, mentioning an AI agent framework recently launched on TRON called AINFT, which is designed to help developers build and deploy autonomous agents.

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