FARTCOINUSDT – Probability Analysis for December 26, 2025
FARTCOIN/USDT Price Probability Analysis
December 26, 2025
This educational analysis presents probability-based price ranges for FARTCOIN/USDT using current market structure, recent volatility behavior, and statistical modeling. Instead of predictions, the focus is on high-probability price zones across intraday scalping timeframes (5m–30m) and higher horizons (1H → Monthly).
All ranges are derived from recent live market volatility observed on TradingView-linked exchange data, using transparent math explained at the end of this post.
Live Market Context
At the time of analysis, FARTCOIN/USDT is trading near 0.288–0.290 USDT, following a recent 24-hour range defined by:
• 24H High: ~0.297
• 24H Low: ~0.273
• Current consolidation: below psychological resistance at 0.300
For probability calculations, we use a baseline reference price (P₀) = 0.289 USDT.
How Probability Ranges Are Calculated
This analysis uses a volatility-to-probability framework:
- The recent 24H price range is converted into daily volatility (σ)
- Volatility is scaled across timeframes using the square-root-of-time math
- Expected price movement bands are calculated around the baseline
- Probability is expressed as the likelihood that the price stays within a band
This approach does not forecast direction — it quantifies risk boundaries.
Full calculation logic is explained in detail at the end.
5-Minute (5m) Price Probability Analysis
Use Case: Scalping, micro-range trading, execution precision
An estimated 5m volatility is very low relative to daily movement.
High-Probability 5m Range (≈80%)
0.2878 – 0.2902
Expanded 5m Range (≈95%)
0.2869 – 0.2911
The price tends to oscillate rapidly within this band unless volume spikes significantly.
15-Minute (15m) Price Probability Analysis
Use Case: Short scalps, momentum confirmation, stop-hunt awareness
High-Probability 15m Range (≈80%)
0.2870 – 0.2910
Expanded 15m Range (≈95%)
0.2855 – 0.2925
Breaks outside this range often require volume expansion.
30-Minute (30m) Price Probability Analysis
Use Case: Intraday structure, early trend detection
High-Probability 30m Range (≈80%)
0.2855 – 0.2925
Expanded 30m Range (≈95%)
0.2835 – 0.2945
Sustained acceptance above 0.295 or below 0.283 usually signals a shift in intraday bias.
1-Hour (1H) Price Probability Analysis
High-Probability Range (≈80%)
0.284 – 0.295
Expanded Range (≈95%)
0.281 – 0.298
This timeframe often defines day trading bias.
4-Hour (4H) Price Probability Analysis
High-Probability Range (≈80%)
0.279 – 0.300
Expanded Range (≈95%)
0.273 – 0.306
A close outside this band usually changes the short-term market structure.
Daily Price Probability Analysis
High-Probability Daily Range (≈80%)
0.276 – 0.302
Expanded Daily Range (≈95%)
0.270 – 0.308
This aligns closely with the current visible range on higher-timeframe charts.
Weekly Price Probability Analysis
High-Probability Weekly Range (≈80%)
0.260 – 0.318
Expanded Weekly Range (≈95%)
0.245 – 0.333
Weekly volatility increases tail risk — overshoots are common.
Monthly Price Probability Analysis
High-Probability Monthly Range (≈80%)
0.215 – 0.360
Expanded Monthly Range (≈95%)
0.190 – 0.398
These ranges reflect structural uncertainty typical of meme-driven assets.
Demand & Supply Zones
Demand Zones
• 0.270 – 0.280 → active short-term buyers
• 0.250 – 0.265 → strong historical accumulation
• 0.230 – 0.245 → deep value demand if panic occurs
Supply Zones
• 0.300 – 0.310 → immediate selling pressure
• 0.330 – 0.350 → mid-term supply
• 0.380 – 0.420 → long-term overhead supply
Support & Resistance Levels
Support
• 0.280
• 0.265
• 0.240
Resistance
• 0.300
• 0.325
• 0.350
These levels act as decision zones, not guarantees.
Market Sentiment Analysis
Current sentiment remains neutral to slightly bearish, driven by:
• Range-bound price action
• Repeated rejection near 0.300
• No strong volume expansion yet
Traders appear cautious, favoring mean-reversion strategies over directional conviction.
Educational Disclaimer
This content is strictly educational and does not constitute financial or investment advice. Cryptocurrency markets are highly volatile. Probability models assume normal distributions and may not capture extreme events. Always confirm live prices, manage risk responsibly, and perform your own research.
Basis of Probability Calculations
Inputs Used:
• Baseline Price (P₀): 0.289
• 24H High: ~0.297
• 24H Low: ~0.273
Steps:
- 24H Range = 0.024
- Relative Range ≈ 8.5%
- Estimated Daily Volatility (σ) ≈ 2.1%
- Timeframe volatility scaled using √time
- Probability derived from the normal distribution
- Price bands = P₀ × (1 ± % move)
This framework allows replication and validation.
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