Deep Dive
1. Technical Weakness (Bearish Impact)
Overview: G trades at $0.00488, below its 7-day SMA ($0.005016) and 30-day SMA ($0.005412). The RSI-14 sits at 35.01 – nearing oversold territory but not yet signaling reversal. MACD shows slight bullish divergence (+0.000041 histogram) but lacks momentum confirmation.
What this means: The price remains trapped in a descending channel (ATH of $0.05764 in July 2024 vs. current -91.5% drawdown). Weak technicals suggest traders are exiting on minor rallies rather than accumulating. Key support at $0.0047987 (recent swing low) failed to hold during intraday dips.
2. Supply Centralization Risks (Bearish Impact)
Overview: As of October 2025 data, the top wallet holds 42.52% of G’s supply, with the top 5 controlling 71.56% (Gate.io). No major wallet movements were reported in the past week, but such concentration historically correlates with high volatility.
What this means: Large holders could suppress prices via gradual selling to avoid slippage. This overhang discourages retail buying, as seen in the 48.1% drop in 24h trading volume to $2.22M. The project’s 10.36B circulating supply (86.3% of total) exacerbates sell-side pressure.
3. Macro Crypto Sentiment (Mixed Impact)
Overview: The crypto Fear & Greed Index sits at 25 (“Fear”), while Bitcoin dominance rose to 58.64% (+0.19% in 24h), signaling capital rotation away from altcoins like G.
What this means: Gravity’s -27.82% 30d return aligns with the “Bitcoin Season” trend (Altcoin Season Index: 20/100). However, G’s underperformance vs. the crypto market’s -10.41% 30d decline suggests coin-specific headwinds dominate.
Conclusion
Gravity’s decline reflects technical breakdowns, whale-driven liquidity risks, and its status as a “high-beta” altcoin during risk-off markets. While oversold RSI levels could invite short-term traders, the lack of fundamental catalysts (e.g., no major protocol updates since August’s Gravity SDK release) limits upside potential.
Key watch: Whether G holds above its 2025 low of $0.0047987 – a breakdown could trigger algorithmic stop-losses and accelerate declines.