Latest Quant (QNT) Price Analysis

Deep Dive

1. Technical Resistance Breakdown (Bearish Impact)

Overview: QNT faced rejection at the critical 23.6% Fibonacci retracement level ($113.18) and fell below its 200-day exponential moving average ($101.39). The daily RSI (39) shows weakening momentum, while the MACD histogram flipped negative (-0.0199) on September 8.

What this means: Technical traders interpreted the failure to reclaim $105 as a sign to exit positions, triggering cascading sell orders. The breakdown below the psychologically important $100 level (now at $99.94) exacerbated bearish sentiment.

What to look out for: A close above the 200-day EMA ($101.39) could stabilize prices, while sustained trading below $97.58 (swing low) risks a drop to the 30-day SMA ($105.87) support zone.

2. Profit-Taking Pressure (Bearish Impact)

Overview: On-chain data shows QNT exchange inflows spiked to $3.05M in the past 96 hours (AMBCrypto), coinciding with the price drop. This follows a 41.06% YTD gain, making QNT vulnerable to profit-taking.

What this means: Long-term holders are trimming positions after the July rally, creating sustained selling pressure. The 222% surge in trading volume (now $33.7M) confirms heightened distribution activity.

3. Mixed Catalyst Impact (Neutral-Bearish)

Overview: While Quant’s Overledger Fusion launch (Quant Network) aims to boost blockchain interoperability, traders appear cautious about the phased rollout. The mainnet launch remains weeks away, delaying concrete adoption metrics.

What this means: The “sell the news” effect is outweighing fundamental optimism. Market participants are waiting for measurable impacts from institutional partnerships like the ECB’s digital euro project before re-entering positions.

Conclusion

QNT’s drop reflects technical breakdowns and profit-taking rather than fundamental deterioration. The key test is whether institutional adoption catalysts can offset bearish chart patterns.

Key watch: Can QNT hold above its July swing low of $97.58? A breakdown here could trigger algorithmic selling, while a recovery above $105 would suggest accumulation by strategic buyers. Monitor the Fusion Testnet launch timeline for institutional traction signals.

Deep Dive

1. Technical Momentum (Bullish Impact)

Overview: QNT reclaimed its 7-day SMA ($101.64) and shows a bullish MACD crossover (+0.03 histogram). The price is testing the $105 resistance level, last defended in early August.

What this means: Short-term traders are reacting to the MACD signal and Fibonacci retracement levels. A close above $105 could trigger algorithmic buy orders targeting $108–$112. However, RSI at 43.3 suggests room for upside before overbought conditions.

What to watch: Hourly closes above $105 and volume spikes above $10M (vs. current $9.9M 24h volume).

2. Quant Fusion Updates (Mixed Impact)

Overview: On August 14, Quant shared progress on its Layer 2.5 Fusion Devnet, including open-source connector trials for Hedera and SUI. Mainnet launch is expected “within months.”

What this means: While not an immediate catalyst, the updates reinforce Quant’s enterprise blockchain credibility. Institutions may be accumulating QNT ahead of staking opportunities. However, the 14% price drop since the August 14 announcement suggests sell-the-news behavior.

What to watch: Testnet launch timeline and partnerships with financial institutions.

3. Sibos 2025 Visibility (Neutral Impact)

Overview: Quant confirmed participation in Sibos 2025 (Sept 29–Oct 2), Europe’s largest fintech conference, with a focus on tokenized banking solutions.

What this means: The event could catalyze new bank partnerships, but the muted price reaction (-0.38% since the August 19 announcement) implies skepticism until concrete deals emerge.

Conclusion

QNT’s 24h gain reflects technical trading and guarded optimism about its enterprise blockchain roadmap, though momentum remains fragile without fresh institutional adoption signals. Key watch: Can QNT hold $102 support during Tuesday’s Asian trading session (historically high volatility)?