FARTCOINUSDT – Probability Analysis for December 10, 2025

FARTCOINUSDT – Probability Analysis for December 10, 2025

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FARTCOIN/USDT Price Probability Analysis — December 10, 2025

Current market snapshot (live feeds)

For clarity across exchange feeds, we use an aggregated baseline of 0.38 USDT for the range math below — this reflects recent mid-prices visible on TradingView / CoinGecko / CoinMarketCap. (TradingView)

Binance’s recent perp/spot snapshot (useful for realized range) shows a 24h high ≈ of 0.4064 USDT and a 24h low ≈ of 0.3536 USDT, which we use to estimate short-term volatility. Note: prices differ slightly across venues (Binance, Bitget, Coinbase, KuCoin, etc.), so you should check the exact price on the exchange you trade. (Binance)

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What this post gives you

• Reproducible probability bands for 1H, 4H, Daily, Weekly and Monthly horizons (percent probabilities + price ranges).

• Clear demand & supply zones, plus support & resistance levels to plan entries/exits.

• Short sentiment snapshot (social + volume).

• Full “Basis of probabilities” arithmetic at the end so you can reproduce everything.

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Methodology

We estimate short-term volatility from the observed 24-hour high/low (range → σ heuristic), then scale volatility for other horizons using the square-root-of-time rule (σ_t = σdaily × √t). We assume short-run log-returns are approximately normal (a simplifying, transparent assumption). The detailed arithmetic is at the end of this post.

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Headline volatility numbers

• Baseline price used for bands (aggregated mid): 0.38 USDT. (TradingView)
• Binance 24h high/low (used for volatility): H = 0.4064 USDT, L = 0.3536 USDT. (Binance)
From that input, we derive an estimated daily σ ≈ 3.47% (full math at the end).

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1H/4H/Daily/Weekly/Monthly — Probability bands & price ranges

Below are model probabilities (two-sided) that price stays inside ±X% for each horizon, under the model assumptions. Price bands are baseline × (1 ± X). Numbers are rounded for readability.

1H horizon — short intraday

σ1H ≈ 0.71%

• ±0.5% → Probability ≈ 51.93% → Price band: 0.37810 — 0.38190 USDT.
• ±1.0% → Probability ≈ 84.16% → Price band: 0.37620 — 0.38380 USDT.
• ±2.0% → Probability ≈ 99.52% → Price band: 0.37240 — 0.38760 USDT.

Practical use: 1H bands are for scalpers and tight intraday planning — always check order-book depth and fees on your execution venue.

4H horizon — short swing

σ4H ≈ 1.42%

• ±1.0% → Probability ≈ 68.16% → Price band: 0.37620 — 0.38380 USDT.
• ±2.0% → Probability ≈ 94.16% → Price band: 0.37240 — 0.38760 USDT.
• ±5.0% → Probability ≈ ~100.0% → Price band: 0.36100 — 0.39900 USDT.

Practical use: 4H bands are useful for multi-session swing entries; confirmation with volume reduces false signals.

Daily horizon (24 hours)

σdaily ≈ 3.47%

• ±5.0% → Probability ≈ 72.34% → Price band: 0.36100 — 0.39900 USDT.
• ±8.0% → Probability ≈ 89.03% → Price band: 0.34960 — 0.41040 USDT.
• ±10.0% → Probability ≈ 94.92% → Price band: 0.34200 — 0.41800 USDT.

Interpretation: under the current realized-range estimate, daily moves inside ±8% are reasonably likely; wider moves need a volatility spike.

Weekly horizon (next 7 days)

σweek ≈ 9.19%

• ±10.0% → Probability ≈ 72.34% → Price band: 0.34200 — 0.41800 USDT.
• ±20.0% → Probability ≈ 97.05% → Price band: 0.30400 — 0.45600 USDT.

Use weekly bands for position sizing and swing trade guardrails; watch open interest if trading futures.

Monthly horizon (next 30 days)

σmonth ≈ 19.03%

• ±25.0% → Probability ≈ 81.11% → Price band: 0.28500 — 0.47500 USDT.
• ±50.0% → Probability ≈ 99.14% → Price band: 0.19000 — 0.57000 USDT.

Monthly bands give structural guardrails — good for portfolio allocation and stop placement on longer holds.

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Key technical zones — Support, Resistance, Demand & Supply

(Confirm these on your exchange chart; zones are derived from recent clustering across TradingView/major exchanges.)

Immediate resistance/supply

• 0.40 — 0.41 USDT — recent upper cluster and visible profit-taking on exchange prints. (Binance)
• 0.45 — 0.60 USDT — a wider supply band that may absorb strong rallies (liquidity often thins above this region).

Immediate support/demand

• 0.35 — 0.37 USDT — short-term demand/support where buyers stepped in previously. (CoinGecko)
• 0.30 — 0.32 USDT — deeper structural support if selling intensifies or liquidity dries on major venues.

Demand zone (accumulation) to watch

• 0.33 — 0.36 USDT — watch for rising volume on dips before assuming a durable base.

Supply zone (profit-taking) to watch

• 0.39 — 0.42 USDT — repeated rejection wicks and volume spikes suggest selling pressure here.

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Sentiment snapshot

• TradingView technicals show a mixed-neutral reading overall and moving averages lean slightly positive on certain short-term windows. (TradingView)
• Social chatter (X / TradingView ideas / CoinMarketCap updates) is mixed-to-cautious-bullish; some traders call for continuation while others note short-term overbought bites. (CoinMarketCap)
• Volume context: CoinGecko / CoinMarketCap show robust 24h volume — participation is healthy, which supports the usefulness of short-term ranges but also means bigger wallet flows can move price quickly. (CoinGecko)

Practical read: sentiment is cautiously constructive — combine social tone with order-book and on-chain inflow checks for higher conviction.

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Trading & risk notes

• Use probability bands as planning tools, not precise predictions. If volatility rises, bands will widen quickly.
• Confirm levels on your execution venue — spot/perpetual/futures prices can differ and order-book depth matters for slippage. (Bitget)
• Size positions to tolerable risk and protect with stop-losses; consider limit orders into thin books.

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Disclaimer

This content is for educational purposes only. It is not financial, investment, trading, or tax advice. The probability ranges above are model outputs under explicit assumptions (range→σ heuristic and normal-return model). Past performance does not guarantee future results. Always do your own research and apply prudent risk management.

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Basis of probabilities

(Use these exact steps to reproduce the numbers above.)

1. Live high/low inputs (Binance snapshot):
   • H = 0.4064 USDT. (Binance)
   • L = 0.3536 USDT. (Binance)

2. Full observed 24h absolute range = H − L = 0.4064 − 0.3536 = 0.0528 USDT.

3. Midpoint = (H + L) / 2 = (0.4064 + 0.3536) / 2 = 0.3800 USDT.

4. Relative 24h range = FullRange / Midpoint = 0.0528 / 0.38 ≈ 0.13947 = 13.947%.

5. Heuristic conversion to daily standard deviation (σdaily): assume full 24h range ≈ 4 × σdaily (common quick rule).
   → σdaily ≈ relative_range / 4 ≈ 0.13947 / 4 ≈ 0.03487 = 3.487% (we rounded to ≈3.47% in the post).

6. Scale to other horizons using square-root-of-time:
   • σ1H = σdaily / √24 ≈ 0.03487 / 4.899 ≈ 0.00709 = 0.709%.
   • σ4H = σdaily / √6 ≈ 0.03487 / 2.449 ≈ 0.01418 = 1.418%.
   • σweek = σdaily × √7 ≈ 0.03487 × 2.646 ≈ 0.09191 = 9.191%.
   • σmonth = σdaily × √30 ≈ 0.03487 × 5.477 ≈ 0.19026 = 19.026%.

7. For a chosen band ±X (e.g., ±0.05 for ±5%), compute the two-sided probability under a zero-mean normal model:
   Probability = 2 × Φ( X / σ_horizon ) − 1 = erf( X / (σ_horizon × √2) ).
   Where Φ is the standard normal CDF and erf is the error function.

8. Price band = baseline × (1 ± X). Example: daily ±5% band → lower = 0.38 × 0.95 = 0.3610; upper = 0.38 × 1.05 = 0.3990.

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Sources/live pages checked

• TradingView — FARTCOIN/USDT symbol & market pages. (TradingView)
• Binance — FARTCOINUSDT perp/spot 24h high & low (used for volatility input). (Binance)
• CoinGecko — live price and volume snapshots. (CoinGecko)
• CoinMarketCap — price & market context. (CoinMarketCap)

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