Cardano targets $1.20, but sellers have the upper hand – What now?

ambcryptoPubblicato 2025-09-17Pubblicato ultima volta 2025-09-18

Key Takeaways

Why are traders optimistic about ADA’s breakout?

ADA’s trading volume and market cap are surging, which could fuel a sustained rally toward $1.20 resistance.

What signals caution for ADA’s rally?

Sellers are dominating the Spot and Futures markets, suggesting downward pressure that could stall ADA’s bullish momentum.


Cardano [ADA] is drawing attention after breaking free from a consolidating triangle pattern — a move that often signals the start of a new trend.

The consolidation pattern has been at hold since the early March. As things stand, bulls currently appear to have won the battle. Next, we can expect institutions and whales to enter as well.

The next target lies at the $1.2 resistance level.

With technicals leaning bullish, traders are now asking whether the surge in trading activity and growing market cap can overpower persistent selling pressure in both Spot and Futures markets.

Source: TradingView

ADA trading volume fuels optimism

AMBCrypto’s look at Token Terminal showed that ADA’s trading volume had climbed sharply since early July. This surge could provide the volatility needed to sustain a breakout.

Rising activity is often a bullish sign, and for ADA, this suggests that liquidity is returning, and retail traders are re-engaging with the token.

Source: Token Terminal

In addition, Cardano’s circulating market cap looked to be increasing at press time, further supporting the altcoin’s bullish technical structure and market activity.

Source: Token Terminal

But sellers still dominate

However, ADA’s on-chain metrics sparked cautionary signals.

CryptoQuant’s 90-day cumulative volume delta data showed an uptick in seller dominance across both Spot and Futures markets over the last 24 hours, despite other indicators ticking all the bullish boxes.

This selling activity could blunt ADA’s breakout attempt if buyers fail to build enough momentum to reclaim control.

Source: CryptoQuant

What to watch for, next

The next few sessions will be critical for ADA. If buying pressure continues to expand in line with trading volume, the breakout could extend toward higher resistance levels.

But if sellers maintain dominance, Cardano risks slipping back into consolidation before retaining its long-term bullish structure.

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Jensen Huang: Prompts are Becoming Obsolete, Loops are the New Paradigm

Jensen Huang, alongside AI leaders like Peter Norvig, Boris Cherny, and Andrew Ng, is advocating for a shift from "prompt engineering" to "loop engineering" as the new paradigm for AI development. Instead of manually crafting individual prompts, the focus is now on designing autonomous loops—systems where AI agents execute tasks, self-validate results, and iterate until completion without constant human oversight. A loop is a management framework that enables agents to operate independently. Key implementations are seen in Claude Code (with features like /loop, /goal, and /schedule) and OpenAI Codex, which employ multiple agents working in parallel within isolated environments. A core principle is the separation of roles: one agent (or model) performs the task, while an independent agent (or a smaller, separate model) validates the output to ensure objectivity. The article outlines a practical roadmap for implementing loops, starting with a "four-condition test" to assess suitability, building a minimal viable loop, and emphasizing critical pitfalls to avoid, such as lacking hard stop conditions or allowing loops to handle tasks requiring human judgment. This evolution is framed as the fourth major shift in AI interaction: from Prompt Engineering (crafting instructions) to Context Engineering (providing background information), then to Harness Engineering (building tool-enabled environments), and finally to Loop Engineering (creating self-sustaining systems). This progression reflects a consistent trend of increasing abstraction, moving human involvement from direct instruction to system design and rule-setting. The concept has academic roots in frameworks like ReAct, which formalized the "reason-act-observe" cycle. While loop engineering promises greater automation, experts caution about managing token costs and warn against outsourcing understanding—AI can assist, but deep problem comprehension remains essential.

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Jensen Huang: Prompts are Becoming Obsolete, Loops are the New Paradigm

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Benvenuto nella Community HTX. Qui puoi rimanere informato sugli ultimi sviluppi della piattaforma e accedere ad approfondimenti esperti sul mercato. Le opinioni degli utenti sul prezzo di ADA ADA sono presentate come di seguito.

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