PIPPIN surges 20%, defends key support: Is a new ATH in sight?

ambcryptoPubblicato 2025-12-21Pubblicato ultima volta 2025-12-21

Introduzione

PIPPIN surged 20.27% to $0.48 after defending the key $0.4 support level, with its market cap recovering to $443 million. The rebound was driven by increased demand in the futures market, where open interest rose 24.29% and netflow surged 136.74%, indicating strong buyer dominance. The long/short ratio also climbed above 1, reflecting bullish sentiment. Despite lower liquidity in the spot market, buy volume significantly outweighed sell volume, with 98% dominance. Momentum indicators like RSI and Stochastic RSI showed bullish crossovers, suggesting potential for further gains toward $0.5 if buying continues, though a pullback remains possible if profit-taking occurs.

After retracing and dipping below the supply zone at $0.4 to $0.34, PIPPIN bounced back. The memecoin surged 20.27% to a local high of $0.48 before slightly retracing to $0.451 as of this writing.

Over the same period, PIPPIN’s market cap recovered from $308 million dip to $443 million, marking a $100 million jump.

But what triggered the rebound?

Demand for PIPPIN Futures rebounds

After PIPPIN breached the $0.4 support level, traders in the Futures market took the opportunity to add to existing positions.

According to CoinGlass, the memecoin’s Open Interest surged 24.29% to $150.73 million, but derivatives volume dropped 16% to $551 million.

Such a combination suggested existing holders added to or opened new positions while the market recorded less opposing activity.

New long positions were added, while exiting ones continued to hold. In fact, significant capital flowed into Futures.

The memecoin saw $168.44 million in Futures inflow, compared to $165.35 million in Sell Volume. As a result, Futures Netflow surged 136.74% to $3.09 million, a clear signal of buyer dominance.

Meanwhile, PIPPIN’s Long/Short Ratio jumped to 1.0251, but averaged around 0.5 across Binance and OKX. Often, a Ratio above 1 suggests that investors mainly deployed capital into taking long positions.

Buyers defend key levels

In the Spot market, as PIPPIN dropped below its critical zone, buyers stepped in and bought the dip.

According to TradingView, PIPPIN’s liquidity significantly dropped. Volume dropped to 3 million over the past 24 hours, compared to the 14-day moving average of 24.64 million.

The A/D Moving Average is at 10.44 million at press time, indicating reduced market participation.

Despite the reduced liquidity, buyers have dominated the market. At press time, Buy Sell Volume sat around 881k, while Buy Volume was 811.33k compared to 70.44k in sell volume.

The market shows extreme buying dominance with 98% while sellers controlled only 2% of the total.

Is the uptrend momentum sustainable?

PIPPIN rebounded as buyers stepped in across the Spot and Futures market and defended $0.4 zone.

As a result, the memecoin’s Relative Strength Index (RSI) made a bullish crossover, hiking to 72. At the same time, its Stochastic RSI also made a bullish crossover at 51, edging into the bullish zone.

When these two momentum indicators make a bullish crossover, it signals strong upward momentum with buyers dominating the market.

Often, such a combination positions the memecoin for a potential continuation of the trend. Therefore, if buyers continue to accumulate, PIPPIN could clear the $0.5 resistance and make another high.

Conversely, if profit taking picks up, another pullback could emerge, with $0.4 acting as key support.


Final Thoughts

  • Pippin surged 20.27% after successfully defending $0.4 and jumped to a local high of $0.48.
  • PIPPIN is well-positioned to reclaim $0.5 and target another eye if buying momentum.

Crypto di tendenza

Domande pertinenti

QWhat was the rebound percentage of PIPPIN after it defended the key support level?

APIPPIN surged 20.27% after successfully defending the key support level.

QWhat key support level did buyers defend, leading to PIPPIN's price rebound?

ABuyers defended the key support level at $0.4, which triggered the rebound.

QWhat does the Futures Netflow surge of 136.74% to $3.09 million indicate for PIPPIN?

AThe Futures Netflow surge indicates clear buyer dominance in the market.

QWhat do the bullish crossovers in RSI and Stochastic RSI suggest for PIPPIN's price momentum?

AThe bullish crossovers in RSI and Stochastic RSI signal strong upward momentum with buyers dominating the market, positioning PIPPIN for a potential continuation of the trend.

QWhat is the next key resistance level PIPPIN could target if buying momentum continues?

AIf buying momentum continues, PIPPIN could clear the $0.5 resistance level and target another all-time high.

Letture associate

NVIDIA's AI Sweeps ARC-AGI-3, Chinese-Led Team Aces All 183 Levels in One Go

NVIDIA's general-purpose coding agent AVO has achieved a perfect 100.00 RHAE score on the ARC-AGI-3 benchmark. It solved all 183 levels across 25 game environments in just 6,624 steps. ARC-AGI-3 is a notoriously difficult test where agents are placed into unfamiliar games with no instructions, forcing them to deduce rules and goals through trial and observation. Top models like Claude Opus 5 typically score only around 30% when acting alone. AVO's breakthrough comes not from improving the underlying AI model (Claude Opus 5), but from adding an intelligent external framework or "harness" around it. This framework addresses three key failure modes: misunderstanding global rules, misapplying familiar mechanics, and failing to learn correctly from success. Two core mechanisms drive AVO's performance: 1. **Persistent Memory:** It stores past attempts, compiler outputs, and reasoning across tasks, preventing the model from resetting and re-exploring dead ends when its context window fills. 2. **Supervisor Agent:** A separate module monitors the main agent's progress, intervening to redirect strategy when it gets stuck or repeats unproductive actions. Notably, AVO processed the visual game environments using a pure 64x64 text grid representation, without any image tokens. Originally developed for GPU kernel optimization, AVO autonomously evolved CUDA code for 7 days, producing attention kernels that outperformed NVIDIA's own cuDNN and the leading open-source implementation, FlashAttention-4. The same core architecture was then successfully applied to ARC-AGI-3, demonstrating its generalizability for long-horizon, autonomous problem-solving. The project features a predominantly Chinese team, including Distinguished Engineer Bing Xu (co-author of the original GAN paper and creator of MXNet) and Tianqi Chen (creator of TVM and XGBoost). NVIDIA's strategy highlights that while AI models are crucial, the surrounding system—managing memory, tools, and feedback—is equally vital for creating capable, long-term autonomous agents. This approach aligns with NVIDIA's focus on providing the essential hardware and software infrastructure for the next generation of AI workloads.

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