Whale Cycle

Buy/sell ratio signals

BestFees Editorial
3 min read
Published: November 20, 2025

Using buy/sell volume ratios to detect accumulation phases and potential reversals.

signalsratiosaccumulation

Introduction: Why is the “buy/sell ratio” a leading bottom signal?

Across multiple crypto cycles, the buy/sell ratio often provides structural hints before price turns. When active buying is significantly stronger than selling and remains sustained, chips are moving into stronger hands—a necessary condition for bottom formation. In panic phases driven by forced liquidations, redemptions, and miner selling, a persistently rising buy/sell ratio is like a flame against the wind: price may stay weak, yet structure is already repairing toward a new cycle.

This article takes a practical view to break down definition, computation, data-source differences, threshold logic, common misreads, and risk management. It shows how the ratio links to whale accumulation, LTH/STH cohort behavior, and Realized Price. Anchor links help you build systemized understanding within this hub:

1. Definition and data-source differences

The ratio can be understood as active buy volume / active sell volume within a time window. Implementation depends on exchange data for taker side (taker buy/sell) or deeper matching-log analysis. Data definitions vary by venue:

  • Some exchanges publish taker buy/sell volume directly;
  • Others require inferring the active side via trade prints and order book changes;
  • OTC and on-chain transfers may not directly reflect in exchange ratios but do affect overall capital structure (see: What whale inflows/outflows really mean).

Hence multi-source cross-validation is crucial: observe trend consistency across top venues and compare with large-address on-chain activity (see: Whale Transactions 2025 Dashboard).

2. Link to whale accumulation: structure repairs before price

During the 2025 biggest accumulation week, the ratio’s sustained elevation across venues, combined with large-address activity, formed a chain of evidence for structural repair. Importantly, structure repair often precedes price repair. Price may still face pressure, but strong active buying in panic indicates strong hands absorbing weak-hand supply (see: Biggest whale accumulation week of 2025 explained).

This lead time is the ratio’s value: it depicts the chip-transfer process, not merely past price.

3. Relation to LTH/STH: upgrading holder-structure quality

Behavior changes in long-term holders (LTH) and short-term holders (STH) further validate the ratio:

In short, the ratio is momentum, LTH/STH is structure, and Realized Price is cost. When they resonate, bottom probability increases (see: How to identify a cycle bottom).

4. Interaction with sentiment: using Fear & Greed correctly

Many rely solely on Fear & Greed, but during panic it may stay low or “artificially low.” If the ratio is structurally high then, it signals passive emotion release + active structural repair. Observe both together: low sentiment with rising ratio often marks strong-hand accumulation against the wind (see: Fear & Greed vs Whale Activity).

5. Windows and thresholds: turn signals into strategy

At least three dimensions matter:

  1. Time windows: short windows (1–4h) capture tempo; long windows (3–7d) confirm trend. Use long windows for cycle judgment, short for aids.
  2. Venue coverage: cross-check 2–4 major exchanges to avoid single-venue bias.
  3. Threshold logic: avoid fixed thresholds; focus on elevated + sustained and cross-venue consistency. If the ratio stays >1 in long windows across venues with stable tempo, signal quality is higher.

In panic periods, if price declines but the long-window ratio remains elevated and LTH/STH plus cost curves improve, it’s a favorable structural accumulation environment (see: Biggest whale accumulation week of 2025 explained).

6. Common misreads and traps

Misread #1: only looking at short windows. A brief surge without sustained and cross-venue confirmation is often local strong buying, not a trend reversal.

Misread #2: ignoring structural events. In liquidation/redemption chains, the ratio may wobble. Without structural context, judgment fails (see: Forced seller patterns in crypto).

Misread #3: data-source confusion. Equating exchange-side ratios with on-chain large transfers while ignoring OTC and address-tier features may under/overestimate signal strength (see: Whale Transactions 2025 Dashboard).

7. Combine with price–flow divergence

If price trends down but the ratio is sustained high, structure is repairing and price is “fake-weak.” If price rallies while ratio and LTH/STH do not, structure is un-repaired and price is “fake-strong,” prone to failure. Anchor on structure; use price as evidence (see: Whale activity divergence vs BTC price).

8. Case review: from July 2021 to Nov 2025

When liquidations → redemptions → miner selling clear, the ratio’s sustained elevation and LTH/STH optimization often lead price. July 2021 and Nov 2025 are similar in this respect: repair structure first, confirm price later (see: July 2021 vs Nov 2025 – pattern comparison, Biggest whale accumulation week of 2025 explained).

9. Strategy: tranching and budget discipline

  • When long-window ratios stay high, LTH/STH improve, and Realized Price nears/under spot then repairs (see: Realized price vs market price: bottom detector), consider tranching buys;
  • Combine event-driven + structural signals to control tempo, e.g., liquidation chain convergence and redemption pressure easing;
  • Track persistence of price–flow divergence to separate “fake-strong/fake-weak.”

10. Risk control: identify false signals and data anomalies

Risk #1: data gaps/anomalies. Use cross-venue validation and consistent windows.

Risk #2: uncleared structural events. If liquidations/redemptions remain elevated, ratio rises may take longer to translate into trends (see: Forced seller patterns in crypto).

Risk #3: emotion-driven short-term noise. Anchor to structure; use price as confirmation.

11. Dashboard practice: make signals visual and usable

Include modules:

  • Buy/sell ratio (multi-venue, short/long windows);
  • LTH/STH changes and UTXO age distribution;
  • Realized Price vs spot position;
  • Price–flow divergence tracking;
  • Structural event monitoring (liquidations, redemptions, miner selling).

See more charts and data: Whale Transactions 2025 Dashboard.

12. Conclusion and actions (anchor links)

The buy/sell ratio is not a price predictor; it is a structure descriptor. When it resonates with LTH/STH and Realized Price—and stays elevated and persistent in panic—chips are migrating to patient holders, and bottom probability rises.

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