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Bitcoin sits about 20% under its power‑law fair‑value line at $136k, with ETF inflows/outflows swinging $5.9 bn‑$0.5 bn weekly, framing near‑term support at
Bitcoin trades roughly one‑fifth below the power‑law fair‑value curve ($136,100) while remaining more than twice above the model’s floor ($48,300), a positioning that contrasts with prior cycle extremes and hinges on volatile ETF flows [1].
| At a glance | |
|---|---|
| Price | $109,700 (≈20% below fair‑value) |
| 24h % move | –0.3% (stable around mid‑channel) |
| Key level | Support $48,300 / Resistance $491,800 |
| Catalyst | ETF inflows/outflows swinging $5.95 bn → $513 m → $958 m weekly |
The power‑law channel is built by regressing log‑price against log‑days since Bitcoin’s genesis, then drawing parallel upper and lower bands that have historically contained cycle highs and lows [2]. Bitbo’s implementation places the fair‑value line at P ≈ 1.0117×10⁻¹⁷ × (days)⁵·⁸², with the lower rail at roughly 0.42 × the curve, matching today’s gap between spot price and the floor [1]. At $109,700, Bitcoin sits about 20% under the fair‑value estimate but well above the floor, a “mid‑zone” that prior cycles only reached at the very start or end of a bull run [1].
Crypto exchange‑traded products (ETPs) recorded a record $5.95 bn net inflow for the week ending 4 Oct 2025, pushing Bitcoin to an all‑time high near $126,000 [1]. The subsequent two weeks saw a swing to $3.17 bn inflows, then a reversal to $513 m net inflows, and a single‑week outflow of $946 m, followed by $958 m exiting US Bitcoin ETFs over two days, including $290 m from BlackRock on 30 Oct [1]. These rapid inflow‑outflow cycles align with the power‑law view that short‑term demand spikes push price toward the upper rail, while outflows pull it toward the floor. Sustained weekly spot inflows of $2‑$3 bn would increase the odds of testing the $491.8 k resistance, whereas persistent outflows could drive a retest of the $48.3 k support [1].
The model offers a structural, time‑based map but does not embed drivers such as ETF demand, macro‑liquidity, or regulatory shocks [1]. Its exponent (~5.8) and band multipliers (≈0.4 × and ≈2.9 × the fair‑value line) are descriptive, derived from past cycles, and provide no timing for when price may breach either rail [2]. Critics note the small sample—roughly four cycles—and the absence of timing, meaning price could linger near the fair‑value line for months or plunge toward the floor without a predictable trigger [2].
Bitcoin’s current mid‑channel stance suggests the power‑law framework still frames price ranges, but the decisive factor will be whether ETF flows and broader macro conditions can lift the market toward the lofty $491 k ceiling or force a retreat to the $48 k floor. The open question remains: can the model’s structural guide survive the increasingly volatile demand environment?
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AI-assisted synthesis by the TrendWatcher Editorial Desk · sourced from 2 outlets · Aug 1, 2026 · How we report
Stock To Flow refers to the relationship between a quantity existing at a specific point in time and a quantity measured over an interval of time. A stock is a snapshot of an asset, such as total capital, while a flow is a rate of change, such as annual investment.
The ratio of a stock to a flow is calculated by dividing the value of the stock by the value of the flow. This calculation results in a unit of time, which can represent the duration required to deplete or accumulate a stock based on a specific flow rate.
Stock To Flow variables cannot be directly compared, equated, added, or subtracted because they have different units. However, taking ratios of Stock To Flow is a valid mathematical operation used to derive meaningful economic metrics.