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VeChain

VeChain Breakout Analysis

Real-time breakout probability and pattern analysis for VET

20.14%
Neutral Breakout
100%
False Breakout Risk
Extreme
Risk Level
Range Breakout
Pattern
4-24 hours
Time Horizon

VeChain shows a low probability of a neutral breakout. Current conditions don't strongly favor a breakout.

View VET Analysis
MTF Alignment:0.3333%

Component Scores

40
Structure
16.63
Momentum
10
Volume
60
Volatility
100
Level Proximity
44.8
Cycle
98.68
Trend Alignment
70
Liquidity

Supporting Factors

No supporting factors identified

Warning Factors

  • •Lack of volume confirmation
  • •Momentum divergence present
  • •High false breakout risk (100.0%)
  • •Low market quality (32.5)
  • •Poor multi-timeframe alignment
  • •Market correlations breaking down

Confidence Range

Lower: 33.1%Base: 42.12%Upper: 51.14%
Confidence Level: 43%
42.12
Total Score
VET
Asset
Neutral

Understanding Breakout Analysis

What It Measures

  • Breakout Probability: Likelihood of a price breakout
  • Direction Bias: Expected breakout direction (bullish/bearish)
  • Pattern Recognition: Triangle, channel, range breakouts
  • Risk Assessment: False breakout probability

Component Scores

  • Structure: Price pattern formation quality
  • Momentum: Strength of directional movement
  • Volume: Trading activity confirmation
  • Volatility: Market compression/expansion state

Trading Insights

High Probability Setup: Look for scores above 70% with supporting factors and low false breakout risk. Multi-timeframe alignment increases reliability.

Risk Management: Higher false breakout risk means tighter stops. Consider waiting for confirmation candles before entering.

Not Financial Advice: Breakout analysis is one tool among many. Always combine with other indicators and proper risk management.

Want the full picture?

View buy/sell zones, technical signals, and more for VET

View Free Analysis
Flicker: VeChain Breakout Analysis - Pattern & Probability
VeChain Breakout Analysis - Pattern & Probability

Analyze VET breakout potential with probability scores, pattern recognition, and multi-timeframe alignment for informed trading decisions.

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