LooksRare (LOOKS) Price Prediction: Technical Analysis and Future Outlook

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Current Market Overview

MetricValue
Current Price$0.013208
30-Day Price Change-25.20%
Fear & Greed Index64 (Greed)
Market SentimentBearish
Volatility9.35%
Green Days (30)11 (37%)
50-Day SMA$0.014842
200-Day SMA$0.022476
RSI (14)49.46 (Neutral)

According to technical indicators, LooksRare's price is expected to decline to $0.009873 by July 31, 2025. The market currently shows bearish sentiment despite greed signals from the Fear & Greed Index.

Technical Indicators

Moving Averages

Daily Simple Moving Average (SMA)

PeriodPriceSignal
SMA 3$0.012986BUY
SMA 50$0.014842SELL

Exponential Moving Average (EMA)

PeriodPriceSignal
EMA 21$0.013721SELL

Oscillators

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Price Levels

Support Zones

  1. Primary Support: $0.011616
  2. Secondary Support: $0.01114

Resistance Levels

  1. Immediate Resistance: $0.01275
  2. Upper Resistance: $0.013883

Long-Term Forecast (2025-2030)

YearLow EstimateHigh Estimate
2025$0.009049$0.013199
2030$0.017255$0.056344

The algorithm suggests LOOKS won't reach $10+ valuations, with a peak projection of **$0.388024 by 2050**.

Key Considerations for Traders

  1. Correlation Analysis: LOOKS shows weak correlation with top 100 cryptocurrencies.
  2. Historical Performance: 37% green days over the past month indicates high-risk conditions.
  3. SMA Crossovers: Watch for 50/200-day SMA interactions as trend reversal signals.

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FAQ

Will LooksRare recover in 2025?

Our analysis suggests a potential drop to $0.009873 by Q3 2025, with recovery possible in 2026.

Is now a good time to buy LOOKS?

Current technicals suggest caution due to bearish sentiment and declining moving averages.

What's the most optimistic 2030 prediction?

The upper price target for 2030 is $0.056344, representing a 326% increase from current levels.

How to Interpret Market Data

Disclaimer: This analysis represents market probabilities, not financial advice. Always conduct independent research before trading.


This version:
1. Removes promotional content
2. Organizes data with Markdown tables