2Z - -3402.45% 7D Drop Amid Ongoing Market Downtrend

On OCT 9 2025, 2Z rose by 0% within 24 hours to reach $0.00029018, while registering a 3402.45% drop over the past week. This decline has extended to 4729.85% over both one-month and one-year timeframes, indicating prolonged downward momentum in the token's valuation.

The recent performance of 2Z reflects a deepening bearish trend, with all key timeframes showing substantial losses. While the token managed to hold steady in the last 24 hours, the 7D and longer-term metrics illustrate a sustained sell-off. Traders and investors are observing the market for signs of potential support levels, but so far, the price has continued to erode without a notable bounce.

The technical landscape for 2Z has been shaped by a consistent bearish bias. Key indicators such as the 50-day and 200-day moving averages remain well above current price levels, signaling a long-term downtrend. The Relative Strength Index (RSI) remains in the oversold territory, but without a corresponding price rebound, this suggests that the market is not reacting to typical bearish exhaustion signals. The absence of bullish follow-through has left the token in a technical limbo—oversold but directionally uncertain.

A continuation of the current trend would likely see 2Z testing further psychological and historical price levels. However, the prolonged bearish bias has led to a market environment where traditional breakout setups are less effective. The price action has become increasingly range-bound in the context of a larger downtrend, raising questions about the token’s ability to attract new buying interest.

Backtest Hypothesis

A proposed backtesting strategy for 2Z is based on the use of moving averages and RSI to identify potential reversal patterns amid a larger downtrend. The strategy employs a dual-moving average crossover (e.g., 20-day and 50-day) to detect intermediate-term trend changes. Additionally, it incorporates RSI levels to gauge the strength of the bearish move and identify potential overextended conditions.

The approach is designed to capture rebounds within a broader downtrend by entering long positions when the short-term moving average crosses above the long-term one and RSI moves above a key oversold level. Stop-loss and take-profit levels are set based on historical volatility and support/resistance levels.

This strategy aims to provide a framework for managing risk and capitalizing on short-term volatility without contradicting the larger bearish narrative. It reflects an attempt to extract directional bias from a token that, despite oversold conditions, has shown little in the way of recovery.