FARTCOINUSDT – Probability Analysis for December 05, 2025
FARTCOIN/USDT Price Probability Analysis — December 05, 2025
Current market snapshot
For transparency, we checked multiple live feeds: TradingView (FARTCOIN listings), Binance market pages, CoinMarketCap, and CoinGecko. Live mid/spot prints across venues are in the mid-$0.30s range; for the calculations below, we use a baseline price of 0.355316 USDT (CoinMarketCap / aggregated feed confirmation). (CoinMarketCap)
Binance 24-hour observed extremes (used to estimate short-term realized range): 24h high = 0.4027 USDT, 24h low = 0.3207 USDT. These values come from exchange/market pages and are used below to form a transparent volatility input. (Binance)
Basis of the probability model — explicit and reproducible
We use a simple, transparent volatility → probability framework so you can reproduce the numbers.
Step 1 — Reference price
Baseline price used for the bands: 0.355316 USDT (CoinMarketCap / aggregated feed). (CoinMarketCap)
Step 2 — Estimate short-term volatility from 24h high/low
We estimate daily volatility (σdaily) from the observed 24-hour high/low on Binance as follows:
- 24h high − 24h low = 0.4027 − 0.3207 = 0.0820 USDT. (Binance)
- Midpoint = (0.4027 + 0.3207) / 2 = 0.3617 USDT.
- Relative 24h range = 0.0820 / 0.3617 = ≈ 0.2267 (22.67%).
- Heuristic conversion from range → σ: range ≈ 4 × σ (common rule-of-thumb). So estimated daily standard deviation:
σdaily ≈ 0.2267 / 4 = 0.05668 → 5.67% daily volatility.
(That is a transparent approximation — you can substitute realized-volatility estimates from intraday returns or a quoted volatility indicator instead.)
Step 3 — Scale volatility to longer horizons
• σweek = σdaily × sqrt(7) ≈ 0.05668 × 2.6458 ≈ 0.1500 → 15.00%.
• σmonth = σdaily × sqrt(30) ≈ 0.05668 × 5.4772 ≈ 0.3102 → 31.02%.
Step 4 — Probability math
We model short-term log-returns as approximately normal (a simplification). For a given horizon and band (±X%), the two-sided probability the return stays inside ±X is:
Probability = erf( (X / σ) / √2 )
(where erf is the error function). The numbers shown below are computed using this formula with the σ values above. These are model probabilities — not guarantees.
Probability-based price ranges (baseline = 0.355316 USDT)
All price bands are baseline × (1 ± band). The probabilities are the model outputs described above.
Daily (next 24 hours — σdaily ≈ 5.67%)
• ±5% band
• Probability ≈ 62.2% that price stays within ±5%.
• Price band ≈ 0.33755 — 0.37308 USDT.
• ±8% band
• Probability ≈ 84.2% that price stays within ±8%.
• Price band ≈ 0.32689 — 0.38374 USDT.
• ±10% band
• Probability ≈ 92.2% that price stays within ±10%.
• Price band ≈ 0.31978 — 0.39085 USDT.
(Interpretation: with the 5.67% daily σ estimate, the model implies an ~84% chance FARTCOIN stays within ±8% of 0.3553 over the next 24 hours.)
Weekly (next 7 days — σweek ≈ 15.00%)
• ±10% band
• Probability ≈ 49.5% that price stays within ±10% over 7 days.
• Price band ≈ 0.31978 — 0.39085 USDT.
• ±20% band
• Probability ≈ 81.8% that price stays within ±20% over 7 days.
• Price band ≈ 0.28425 — 0.42638 USDT.
Monthly (next 30 days — σmonth ≈ 31.02%)
• ±25% band
• Probability ≈ 58.0% that price stays within ±25% over 30 days.
• Price band ≈ 0.26649 — 0.44415 USDT.
• ±50% band
• Probability ≈ 89.3% that price stays within ±50% over 30 days.
• Price band ≈ 0.17766 — 0.53297 USDT.
Important: these probabilities are conditional on the volatility input and the normal-returns assumption. If realized volatility changes (news, whale flows, listings/delistings), probabilities change quickly.
Sources for baseline and range inputs: CoinMarketCap / CoinGecko (aggregated price) and Binance 24h high/low used for the volatility estimate. (CoinMarketCap)
Key technical zones — support, resistance, demand & supply
These zones are derived from visible high/low clusters on exchange charts (TradingView / Binance / Gate / Bitget). Always confirm exact levels on the exchange you trade.
Immediate resistance/supply
• 0.34 — 0.36 USDT — recent upper cluster/rejection band near the mid-$0.30s. (TradingView)
• 0.45 — 0.60 USDT — a higher-timeframe supply zone if a convincing breakout occurs (liquidity typically thins above this band).
Immediate support/demand
• 0.29 — 0.31 USDT — near-term support where buyers have shown interest across recent dips. (TradingView)
• 0.24 — 0.26 USDT — deeper structural support under a larger sell-off or when lower-tier exchange prints drive price lower.
Demand zone
• 0.28 — 0.31 USDT — watch for rising volume + falling sell pressure before trusting the base.
Supply zone
• 0.34 — 0.38 USDT — repeated rejections and wick activity suggest profit-taking pressure here.
Liquidity note: spot vs futures vs perpetual mark prices can differ across exchanges — check the venue you plan to use (Binance, Gate, Bitget, etc.). (Binance)
Sentiment analysis
- Social sentiment (X / CoinMarketCap social panel / TradingView ideas) shows active discussion with a mixed-to-slightly-bullish tilt — there are bullish trading ideas but also cautionary posts; sentiment is not overwhelmingly euphoric. (TradingView)
- Volume context (CoinGecko / exchange 24h volumes) shows elevated 24-hour volume in recent sessions — rising volume accompanying price movement usually indicates stronger conviction, but it can also reflect short-term momentum/fomo. (CoinGecko)
- Practical read: current social + volume mix suggests cautious bullishness — monitor exchange inflows/outflows (on-chain) and large wallet movements for stronger directional clues.
Trading & risk notes
• Use these probability bands as planning tools — not as “guaranteed” price levels.
• Check liquidity/order-book depth on your trading venue before placing large or market orders (thin books = slippage). (cryptometer.io)
• If trading futures, monitor funding rates, open interest, and liquidation risk.
• Always size positions to a loss you can tolerate and apply stop losses.
Model limitations & risk warnings
This analysis uses a simplified normal-returns model and a heuristic conversion from 24-hour range → daily σ. Crypto returns frequently show volatility clustering and heavy tails; extreme moves occur more often than a pure normal model would suggest. Use these outputs as structured guidance — not as certainties.
Educational Disclaimer (VERY IMPORTANT)
This post is educational only. It is NOT financial, investment, trading, or tax advice. The probability ranges are model outputs built on explicit assumptions (see “Basis of the probability model”). Past performance does not guarantee future results. Always do your own research and manage risk appropriately.
Why engage with One Web One Hub
2025 Dec 05 FARTCOINUSDT FI Use The Referral Link
If you value clear, assumption-driven crypto analysis rather than vague predictions, One Web One Hub publishes daily probability briefs and trader-friendly guides:
• Daily probability-based token briefs you can reproduce on your exchange.
• Weekly deep dives combining on-chain checks, funding/open interest, and volatility models.
• Downloadable calculators and cheat-sheets so you can run the same analysis on any token in under a minute.
Visit One Web One Hub, request the tokens you trade, comment on posts, and join a community focused on reproducible, practical trading insights.
Sources/live pages checked
TradingView symbol pages and idea threads, Binance futures/spot pages (24h high/low), CoinMarketCap live price, CoinGecko live feed, Bitget/Gate exchange snapshots used for cross-checks. (TradingView)
