Passive Absorption (BTC) — July 01, 2026
A quantitative overview of cross-venue structural stability, liquidity trajectories, and intraday regime transitions.
1. Regime & Volatility Analysis
| Venue/Instrument | Event Type | Time (UTC) | Confidence | Key Metric | |---|---|---|---|---| | [OkxInverse BTC-USD] | Passive Absorption | 2026-07-01 10:30 UTC | 0.8000 | efficiency_ratio: 0.1389, vpin: 0.7520 | | [Hyperliquid BTC] | Liquidation Cascade | 2026-07-01 11:15 UTC | 0.6510 | N/A | | [Bybit BTCPERP] | Momentum Exhaustion | 2026-07-01 12:00 UTC | 0.7500 | efficiency_ratio: 0.3633, oi_velocity: -46.37 | | [Deribit BTC-PERPETUAL] | Failed Expansion | 2026-07-01 13:45 UTC | 0.8000 | duration: 1 bar, exit: Absorption | The market maintained a dominant Absorption regime, accounting for 65478 state blocks, indicating persistent passive buying interest. Localized volatility was observed with 93 Liquidation Cascades, notably on [Hyperliquid BTC], alongside 52 instances of Momentum Exhaustion and 23 Failed Expansion attempts across various venues. The [CME_BTC_VOL] registered 45.2 on 2026-06-24, reflecting institutional hedging activity. Historical analogs from 2026-07-01 00:00 UTC, 2026-06-20 00:00 UTC, and 2026-06-13 00:00 UTC indicate prior Compression regimes with efficiency ratios around 0.34.Verified Execution & Macro Proofs:- (See Verified Execution below) ## Verified Execution & Macro Proofs • 45.20 bps (Source Date: 2026-06-24) Extract the raw multi-venue Parquet tick data for this epoch via thrunode_archive
It visualizes the structural behavior of Bitcoin across the industry's most important trading venues.
- Venues (Y): Specific markets from Spot to Perps.
- Time (X): 24-hour day broken into 48 discrete 30-minute segments.
- Teal Blocks: Absorption. Passive liquidity absorbing aggressive flow.
- Brightness: Bright = High Conviction. Faint = Transitional/Noisy.
- White Lines: Abrupt Structural Transitions.
- Grey Line (Hurst): Price persistence (High = trend, Low = noise).
2. Liquidation Risks & Funding Trajectories
Funding trajectories exhibited significant divergences across venues, with [Deribit BTC_USDC-PERPETUAL] recording +2.15 Z and [OkxLinear BTC-USDT] at +1.90 Z, indicating crowded long positioning. Conversely, [BybitInverse BTCUSD] showed a -1.84 Z divergence, suggesting short-side crowdedness. These imbalances create conditions for potential long or short squeezes, particularly if the dominant absorption regime fails to resolve the directional pressure. Recent [Ethereum] treasury inflows totaling 420,000,000 USDT further contribute to overall market liquidity.Verified Execution & Macro Proofs:- (See Verified Execution below)- (See Verified Execution below) ## Verified Execution & Macro Proofs • 420,000,000 USDT (220,000,000 USDT on Ethereum, 100,000,000 USDT on Ethereum, 100,000,000 USDT on Ethereum) • baseline risk-free levels
This chart is the Squeeze Radar, a specialized risk map for Bitcoin derivative markets. It visualizes the "tension" in the market by tracking where the most dangerous liquidation risks are building up across major exchanges.
The chart is divided into four sections based on two critical factors: Position Crowdedness (Vertical Axis) and Holding Cost (Horizontal Axis).
- The Red Zone (Top-Right - "Long Squeeze Danger"): This is the danger zone. Positions here have rising Open Interest (more people piling in) and high Funding Rates (buyers are paying a premium to stay long). If the price drops slightly, these "crowded longs" may be forced to sell all at once, causing a crash.
- The Green Zone (Bottom-Left - "Short Covering Exhaustion"): This is the "relief" zone. Positions here have falling Open Interest (shorts are closing) and negative Funding (sellers are paying buyers). This usually signals that a downward move is running out of steam.
- The Circles (Nodes): The solid circles represent where those exchanges ended the day.
- The Size of the Circle: The larger the circle, the more trading volume that exchange handled.
- The Dashed Trails (Trajectories): These "scribbles" are the most important part—they show the path each exchange took over the last 24 hours. Instead of just a single data point, you can see the "journey" of the market sentiment.
3. Passive Liquidity & CVD Divergences
Passive liquidity walls were prominent, with 295 instances of Passive Absorption detected, demonstrating significant orderbook depth absorbing aggressive selling pressure. CVD divergences were observed in conjunction with Momentum Exhaustion events on [Bybit BTCPERP] (0.5936) and [BinanceCoinM BTCUSD_PERP] (0.9096), indicating a depletion of buying momentum despite the overall absorption. This suggests a structural imbalance where passive bids are holding price, but aggressive buying is fading. Extract the raw multi-venue Parquet tick data for this epoch via thrunode_archive
This chart visualizes the true macroeconomic divergence between Global Spot and Derivative markets. By aggregating liquidity across all canonical exchanges, it acts as a highly sensitive gauge for systemic buying or selling pressure.
CVD tracks aggressive market orders (market buys minus market sells). We aggregate this across all canonical exchanges into two distinct curves:
- Spot CVD (The "Real" Demand): Tracks actual asset accumulation. When this rises, actual assets are being bought and removed from order books.
- Perp CVD (The Speculative Demand): Tracks derivative traders using leverage. Divergences (e.g., Perp CVD rising while Spot CVD drops) often signal fragile, easily-liquidated trends.
- Order Book Imbalance (Background): The background heatmap shows the structural weight of passive limit orders. Brighter colors indicate passive liquidity walls stepping in to absorb aggressive volume.
- Macro Events (Vertical Lines): We filter billions of daily ticks to cluster systemic structural events—like Global Liquidation Cascades or massive Block Trades—across multiple exchanges simultaneously.