Passive Absorption in Absorption (BTC) — July 5, 2026
A quantitative overview of cross-venue structural stability, liquidity trajectories, and intraday regime transitions.
1. Regime & Volatility Analysis
The dominant regime is Absorption, accounting for 68869 state blocks across all instruments. The market experienced 47 instances of Failed Expansion, notably on [Deribit BTC-PERPETUAL], indicating immediate price rejection and a lack of sustained upward momentum. This structural instability, combined with 39 instances of Momentum Exhaustion across venues like [Hyperliquid BTC] and [Deribit BTC_USDC-PERPETUAL], suggests a prevailing environment of consolidation within the Absorption block. Verified Execution & Macro Proofs: * (See Verified Execution below) ## Verified Execution & Macro Proofs • 45.20 bps (Source Date: 2026-06-24)
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 negative divergences, with [Bybit BTCPERP] recording a Z-score of -2.99 and [Binance BTCUSDT] at -1.56 Z, indicating a crowded short positioning across these venues. While leverage was predominantly Clean, [Deribit BTC_USDC-PERPETUAL] showed Elevated leverage with +29.02 BPS OI velocity, and [Bybit BTCUSDT] with +37.88 BPS OI velocity, suggesting localized speculative long crowdedness. The combination of negative funding and 20 Liquidation Cascades, particularly on [Hyperliquid BTC], creates vulnerability for short squeezes, while 1 instance of Trapped Longs indicates localized long squeeze risks. Verified Execution & Macro Proofs: * (See Verified Execution below) ## Verified Execution & Macro Proofs • baseline risk-free levels Extract the raw multi-venue Parquet tick data for this epoch via thrunode_archive
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
| Venue/Instrument | Event Type | Time (UTC) | Confidence | Key Metric | |---|---|---|---|---| | [Deribit BTC-PERPETUAL] | Failed Expansion | 7 minutes ago | 0.6000 | exit_regime: Indeterminate | | [Hyperliquid BTC] | Liquidation Cascade | 7 minutes ago | 0.7000 | oi_velocity: -44.39 | | [OkxSpot BTC-USDT] | Passive Absorption | 7 minutes ago | 0.8000 | efficiency_ratio: 0.1295 | | [Hyperliquid BTC] | Momentum Exhaustion | 12 minutes ago | 0.7500 | efficiency_ratio: 0.0451 | | [Deribit BTC-28AUG26] | Passive Absorption | 37 minutes ago | 0.8000 | efficiency_ratio: 0.00 | The market was characterized by 262 instances of Passive Absorption, indicating significant passive liquidity walls absorbing aggressive selling pressure across multiple venues including [OkxSpot BTC-USDT], [Hyperliquid BTC], and [Deribit BTC-PERPETUAL]. Despite these structural bids, 20 Liquidation Cascades, notably on [Hyperliquid BTC] with an OI velocity of -44.39, suggest periods where aggressive selling overwhelmed passive support, leading to localized orderbook imbalances. Momentum Exhaustion, observed 39 times, including on [Hyperliquid BTC] with an efficiency ratio of 0.0451, further indicates depletion of buying fuel within these absorption blocks. Verified Execution & Macro Proofs: * (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) 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.