Image of XPASS
XPASSX-PASS
$0.02848
-5.67%
1D

X-PASS Price Prediction

5-Day Prediction
$0.02204
1-Month Prediction
$0.02152
3-Month Prediction
Locked
6-Month Prediction
Locked
1-Year Prediction
Locked
2030 Prediction
Locked
Current Price$0.02848
Price Prediction
$0.02152 (-24.54%)
Green Days
1 / 2 (50%)
50-Day SMA
$
200-Day SMA
$
Volatility
%
Fear & Greed Index
16 (Extreme Fear)
Sentiment
14-Day RSI
The value of X-PASS is forecasted to decrease by -24.54% and hit $0.02152 by Jan 18, 2026. Our technical analysis shows a market outlook, supported by a Fear & Greed Index reading of 16 (Extreme Fear). Over the past 30 days, X-PASS has seen 1/2 (50%) green days and displayed a price volatility of %.
Investment Calculator
Investment
$0.00
If you invest $10,000 in XPASS today and hold until Oct 05, 2026, our prediction suggests you could see a potential profit of $0.00, reflecting a `$` ROI over the next 0 days.
Disclaimer: This is not investment advice. The information provided is for general information purposes only. No information, materials, services and other content provided on this page constitute a solicitation, recommendation, endorsement, or any financial, investment, or other advice. Seek independent professional consultation in the form of legal, financial, and fiscal advice before making any investment decision.
Short-Term X-PASS Price Targets
DatePredictionPotential ROI
Dec 20, 2025
$0.02851
0.12%
Dec 21, 2025
$0.02564
9.96%
Dec 22, 2025
$0.02361
17.08%
Dec 23, 2025
$0.02261
20.62%
Dec 24, 2025
$0.02204
22.61%
Long-Term X-PASS Price Prediction
MonthMin. PriceAvg. PriceMax PricePotential ROI
Dec 2025$0.02010$0.02236$0.028510.12%
X-PASS's 50-Day, 200-Day Simple Moving Averages and 14-Day Relative Strength Index - RSI (14)
X-PASS Technical Analysis
Daily Simple Moving Average (SMA)
PeriodValueAction
Daily Exponential Moving Average (EMA)
PeriodValueAction
Weekly Simple Moving Average (SMA)
PeriodValueAction
Weekly Exponential Moving Average (EMA)
PeriodValueAction
X-PASS Oscillators

An oscillator is a technical analysis tool that constructs high and low bands between two extreme values, and then builds a trend indicator that fluctuates within these bounds. Traders use the trend indicator to discover short-term overbought or oversold conditions.

PeriodValueAction
RSI (14)NEUTRAL
Stoch RSI (14)NEUTRAL
Stochastic Fast (14)NEUTRAL
Commodity Channel Index (20)NEUTRAL
Average Directional Index (14)NEUTRAL
Awesome Oscillator (5, 34)NEUTRAL
Momentum (10)NEUTRAL
MACD (12, 26)NEUTRAL
Williams Percent Range (14)NEUTRAL
Ultimate Oscillator (7, 14, 28)NEUTRAL
VWMA (10)NEUTRAL
Hull Moving Average (9)NEUTRAL
Ichimoku Cloud B/L (9, 26, 52, 26)NEUTRAL
X-PASS Key Price Levels

Based on today's classical pivot point (P1) with the value of $0.03081, X-PASS has support levels of $0.02838, $0.02670, and the strongest at $0.02427. Similarly, X-PASS resistance levels are at $0.03249, $0.03491, and $0.03659.

#PriceStrength
S1$0.02838
S2$0.02670
S3$0.02427
#PriceStrength
R1$0.03249
R2$0.03491
R3$0.03659

XPASS Price Prediction FAQ

Our predictions are based on historical data, technical indicators, and market sentiment. While they provide directional insight, actual prices can vary due to unforeseen market events.

We use a wide array of tools, including SMA, EMA, RSI, MACD, Stochastic Oscillators, and Pivot Points, to generate reliable price predictions.

Moving averages like the 50-day and 200-day SMAs help smooth out price data and identify trends. A price above these averages often signals bullish momentum.

The XPASS price prediction updates daily because it relies on real-time data. As market conditions shift (think price movements, trading volume, or changes in technical indicators), the model adjusts its forecast to reflect the latest trends and sentiment. This ensures predictions stay relevant and accurate in a fast-moving crypto market.

The page provides daily and monthly ROI estimates, bullish/bearish labels, technical analysis, and an investment calculator to help plan long or short strategies. However, take our prediction data (and all prediction data for that matter) with a grain of salt. It's notoriously difficult to predict market prices, and no model should be treated as infallible.

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