A Reusable Framework, Not a One-Time Analysis
Most "weekly analysis" content in crypto is garbage. It hardcodes specific prices that are stale within hours of publication. It gives you levels like "$BTC support at $97,200" that mean nothing three days later when price is at $102,000.
This guide is different. It is a template. A repeatable framework you can use every single week to produce fresh, actionable liquidation analysis for $BTC and $ETH. The structure stays constant. The data changes. The value compounds as you develop pattern recognition across weeks.
Whether you are producing content for an audience, doing personal weekly prep, or building a trading routine, this template ensures you never miss the important stuff. It builds on the liquidation maps methodology and open interest analysis to create a repeatable edge. How Liquidation Heatmaps Work: LiqMap Origins, Reading Method, and Limits walks through this in more detail.
The Weekly Liquidation Hunt Framework
Phase 1: Data Collection (Monday Open or Sunday Evening)
Before any analysis, gather fresh data from Kingfisher:
Required data points:
- Current $BTC price and $ETH price (at time of analysis)
- BTC LiqMap (All Leverage view, current snapshot)
- ETH LiqMap (All Leverage view, current snapshot)
- BTC High Leverage LiqMap (for scalping/micro-cluster awareness, see our scalping toolbox guide)
- ETH High Leverage LiqMap (same)
- Current funding rates (BTC and ETH, across major exchanges)
- Open Interest levels (BTC and ETH, note if rising or falling)
- Long/Short ratio (current reading and 7-day range, see our L/S ratio analysis)
- TOF reading (any active spikes or notable baseline)
- Key weekly levels from PREVIOUS week's analysis (did last week's clusters get swept?)
Phase 2: BTC Analysis Structure
Use this exact format every week for consistency:
BTC Price Context
Current Price: [INSERT CURRENT PRICE]
7-Day Range: [LOW] - [HIGH] ([RANGE]% range)
Weekly Change: [+/-X%]
Volatility Regime: [Low / Normal / Elevated / Extreme]
What to look for in price context:
- Was last week's range tight (compression = breakout likely) or wide (expansion = potential exhaustion)?
- Did price close near the high, low, or middle of the range? (Close position matters for next open bias)
- Any notable weekly candles (pin bars, engulfing, gaps on CME futures)?
BTC Liquidation Cluster Inventory
Identify clusters in order of significance using only fields and labels exposed by the current product view. The LiqMap's internal inputs, weightings, and transformations are proprietary; this template records outputs for consistent review rather than attempting to reconstruct the model.
Cluster 1, Nearest Above Price (Short Liquidations):
Price Zone: [$X,XXX – $X,XXX]
Displayed Estimate: [$X.XM]
Relative Intensity: [LOW|MEDIUM|HIGH|EXTREME]
Distance from Current: [+X.X%]
Exchange Concentration: [BINANCE|BYBIT|OKX|MIXED]
Risk Level: [LOW|MEDIUM|HIGH|EXTREME]
Cluster 2, Nearest Below Price (Long Liquidations):
Price Zone: [$X,XXX – $X,XXX]
Displayed Estimate: [$X.XM]
Relative Intensity: [LOW|MEDIUM|HIGH|EXTREME]
Distance from Current: [-X.X%]
Exchange Concentration: [BINANCE|BYBIT|OKX|MIXED]
Risk Level: [LOW|MEDIUM|HIGH|EXTREME]
Cluster 3, Secondary Above (if significant):
Price Zone: [$X,XXX – $X,XXX]
Displayed Estimate: [$X.XM]
Relative Intensity: [LOW|MEDIUM|HIGH|EXTREME]
Distance from Current: [+X.X%]
Exchange Concentration: [BINANCE|BYBIT|OKX|MIXED]
Risk Level: [LOW|MEDIUM|HIGH|EXTREME]
Cluster 4, Secondary Below (if significant):
Price Zone: [$X,XXX – $X,XXX]
Displayed Estimate: [$X.XM]
Relative Intensity: [LOW|MEDIUM|HIGH|EXTREME]
Distance from Current: [-X.X%]
Exchange Concentration: [BINANCE|BYBIT|OKX|MIXED]
Risk Level: [LOW|MEDIUM|HIGH|EXTREME]
Cluster 5, Outlier / Magnet Level (distant but noteworthy):
Price Zone: [$X,XXX – $X,XXX]
Displayed Estimate: [$X.XM]
Relative Intensity: [LOW|MEDIUM|HIGH|EXTREME]
Distance from Current: [+/-X.X%]
Exchange Concentration: [BINANCE|BYBIT|OKX|MIXED]
Risk Level: [LOW|MEDIUM|HIGH|EXTREME]
Analysis notes for each cluster:
- Is this cluster growing or shrinking compared to last week?
- Did this cluster get partially swept last week? (Partially swept clusters rebuild)
- Is this cluster at a psychological level ($100K, $95K, round numbers)?
- Does TOF show activity near this cluster?
BTC Weekly Thesis
Synthesize the above into 2-3 sentences:
[Directional bias for the week] because [primary reason related to cluster
placement and flow data]. Key level to watch is [most important cluster].
If [cluster] gets swept, expect move toward [next cluster or level].
Risk is [what could invalidate the thesis].
Phase 3: ETH Analysis Structure
Mirror the BTC structure exactly for $ETH:
ETH Price Context
(Same fields as BTC)
ETH Liquidation Cluster Inventory
(Same cluster format, 3-4 clusters for ETH since it has less total OI than BTC)
ETH Weekly Thesis
(Same synthesis format)
Phase 4: Cross-Asset Analysis
$BTC and $ETH do not move in isolation. Their relationship matters:
BTC/ETH Correlation:
- Current correlation: High / Moderate / Decoupling
- Is ETH leading or lagging BTC?
- Are their cluster pictures aligned (both have fuel in same direction) or conflicting?
Dominance Note:
- Is BTC dominance rising (risk-off, alts suffering) or falling (risk-on, alt season)?
- How does this affect ETH relative to BTC?
Funding Divergence Check:
- Is BTC funding telling a different story than ETH funding?
- (e.g. BTC funding neutral but ETH funding positive = ETH longs more crowded)
Phase 5: Trading Setup Matrix
Translate analysis into actionable setups:
Setup A, Highest Conviction (BTC):
Direction: [Long / Short]
Entry Zone: [price range]
Target: [cluster zone or price level]
Stop: [price level]
Risk/Reward: [X:1]
Trigger Condition: [what must happen to enter]
Confidence: [High / Medium / Low]
Setup B, Highest Conviction (ETH):
[Same format]
Setup C, Watchlist (Lower Conviction, Monitor for Upgrade):
[Same format, mark as WATCHLIST]
Setup D. Scenario Flip (When You Are Wrong): For a fuller treatment, Getting Started with The Kingfisher: A Responsible Liquidation Map Workflow covers the whole workflow.
If price breaks [level] instead, thesis flips to [opposite direction]
with target at [alternative cluster]. This is my invalidation point.
What to Look For: Key Patterns That Repeat
After running this template for several weeks, you will start recognizing these recurring patterns:
Pattern 1: The Monday Gap Fill
Weekend trading (lower liquidity) creates micro-clusters that sit just outside Friday's close price. When full liquidity returns Monday, price frequently sweeps these weekend-built clusters before establishing the real weekly direction.
What to do: Note any clusters built over the weekend that sit within 1% of Friday's close. If price revisits that area on Monday, these are the levels where a sweep scenario is most likely to play out.
Pattern 2: The Funding Settlement Rotation
Every 8 hours (00:00, 08:00, 16:00 UTC), funding settles. The 1-2 hours before and after settlement see position rotation that creates or dissipates clusters.
What to do: Note which side of funding is extreme. Pre-settlement unwinds can push price toward opposing clusters, so treat the window around settlement as a scenario to watch rather than a scheduled move.
Pattern 3: The Mid-Range Cluster Build
When price ranges for 3+ days, clusters accumulate at both range edges. The longer the range persists, the larger the edge clusters grow. In time, one side gets swept and the resulting cascade can be massive because of all the accumulated fuel.
What to do: Measure range duration. Ranges longer than 5 days with growing edge clusters set up the conditions for a larger breakout or reversal, but the direction is only resolved when one side is actually swept.
Pattern 4: The Post-Sweep Rebuild
After a major cluster gets swept, the displayed map may begin showing new estimated zones around the post-sweep price level. These "rebuild clusters" can appear with lower relative intensity, but intensity alone does not establish quality, direction, or whether price will revisit the zone.
What to do: After a sweep event, wait 12-24 hours for rebuild clusters to form before entering new positions. The immediate post-sweep environment is too noisy.
Producing Content From This Template
If you are creating weekly content (Twitter thread, blog post, newsletter, YouTube script), here is the recommended output format:
Headline Formula
"Week X Liquidation Hunt: BTC Price $BTC Key Levels, One-Sentence Hook"
Examples:
- "Week 14 Liquidation Hunt: $98,400 $BTC Key Levels, The $100K Short Cluster Everyone Is Ignoring"
- "Weekly Liq Hunt: $3,380 ETH, Why This Week's Long Cluster at $3,200 Changes Everything"
- "BTC & ETH Liquidation Analysis: $2.3 Billion in Fuel Sitting Above Current Price"
Opening Hook (First 100 Words)
Start with the pain point:
- "Last week, $X billion in positions got liquidated. Retail saw it coming and traded anyway. Here is where the fuel sits THIS week..."
- "Everyone is watching obvious level. Nobody is watching non-obvious cluster from your analysis. That is the opportunity..."
- "Number liquidation clusters are within striking distance of current price. Here is exactly how to trade them..."
Body Structure
- BTC detailed study (40% of content), Clusters, thesis, setup
- ETH detailed study (30% of content), Clusters, thesis, setup
- Cross-Asset and Risk Notes (15% of content), Correlation, funding, warnings
- Actionable Summary (15% of content), Bullet-point takeaway list
Closing Call to Action
End with clear next steps:
- "Pull your own LiqMap at link and verify these levels"
- "Join the discussion at Telegram/Twitter link"
- "Next week's analysis drops on day"
Tools You Need
To run this analysis every week, you need access to:
- Kingfisher LiqMaps (for cluster visualization), thekingfisher.io
- Kingfisher Funding and OI dashboard (for funding context), included with subscription
- Kingfisher TOF indicator (for timing confirmation), included with subscription
- Kingfisher L/S Ratio (for positioning context), included with subscription
Free users can generate limited LiqMaps via the daily spin wheel. Subscribers get unlimited access plus real-time updates. Compare plans to find the right tier for your analysis routine.
Building Your Weekly Routine
Sunday evening (30 minutes):
- Pull fresh LiqMaps for BTC and ETH
- Note cluster locations and sizes
- Compare to previous week's analysis
Monday morning (15 minutes):
- Update prices with latest data
- Check for overnight cluster changes
- Write/finalize your weekly analysis
- Publish or file for personal reference
Throughout the week (5 minutes/day):
- Quick check: have any key clusters been swept?
- Note any new clusters forming
- Adjust bias if thesis-invalidating moves occur
Friday evening (10 minutes):
- Review which scenarios played out and which did not
- Note lessons learned
- Prepare for next week's template fill
Consistency beats brilliance. Running this template every single week, even boring weeks when nothing much is happening, builds the pattern recognition that makes you dangerous when the big setups finally arrive.
Related reading: For deeper understanding of the clusters you will analyze, study our LiqMap fundamentals guide. To time your entries into identified clusters, master Toxic Order Flow. For understanding the funding dynamics that shape weekly setups, explore our funding rate guide. To learn how to use CVD for confirming cluster signals before they trigger, check our volume delta guide.
Related Articles
- Liquidation Maps 2026: Complete Guide to Crypto Liquidation Heatmaps
- Open Interest Explained: What is Open Interest in Crypto Trading?
- Funding Rate Guide: Complete Guide to Crypto Funding
- LiqMap Fundamentals: The Complete Beginner's Guide to Reading LiqMaps
FAQ
Q: How much time does the Weekly Liquidation Hunt routine take? A: Once you've built the template and habit: Sunday evening setup (~30 minutes): pull fresh maps, note clusters, compare to previous week. Monday morning finalization (~15 minutes): update prices, write analysis. Daily checks (~5 minutes/day): verify key clusters still intact. Friday review (~10 minutes): assess what played out, lessons learned. Total weekly time investment: ~75-90 minutes for a structured process that covers both BTC and ETH. That's less time than one scroll through trading Twitter. The return on that 90 minutes: a clear thesis for every upcoming week, documented levels to watch, and a journal you can review monthly to see which scenarios actually played out.
Q: Should I publish my weekly analysis publicly or keep it private? A: Both approaches have merit. Publishing (Twitter thread, Discord post, blog) forces discipline: you're committing to a written thesis that others can hold you accountable to. It also builds reputation and community feedback (people will comment "you missed the cluster at X" which improves your analysis). Keeping it private allows more honest assessment ("I think X might happen but I'm not sure") without performance pressure. Recommended path: keep it private for the first 4-6 weeks while building skill and confidence, then consider publishing if you want accountability and community engagement. The template format works for both.
Q: How should I judge weekly liquidation predictions over time? A: Treat every cluster as a probability, not a certainty. An individual cluster-level call (price will test $X cluster this week) is a scenario that may or may not play out; a sweep can just as easily run the other direction. The value is not in calling each level correctly but in having a FRAMEWORK that identifies WHERE the action is most likely to occur, so you are positioned and ready when it does. Track your own notes over time and judge each scenario on whether the conditions you listed for it actually appeared, not on whether a single level was hit.
Q: Can I run the Weekly Hunt for assets beyond BTC and ETH? A: Yes, but prioritize appropriately. BTC and ETH should always be your primary analysis (deepest liquidity, most thoroughly populated clusters, largest cascade potential). Secondary analysis for 2-3 top alts (SOL, AVAX, or whatever matches your trading focus) adds maybe 15-20 minutes to the routine. Beyond 5 total assets, the marginal value of additional analysis drops sharply (diminishing returns, spreading yourself thin). For altcoins specifically: note that clusters are thinner, less populated, and more susceptible to single-whale manipulation. Factor that into how much weight you give an alt cluster scenario. An ETH cluster scenario carries more weight than a SOL cluster scenario of the same nominal size.
Q: What's the single most important metric to track week-over-week in my Liquidation Hunt journal? A: Whether the clusters you flagged actually got tested. Each week, note which of the levels you marked as "likely to be tested" were in fact tested, and in which market regime. Over a few months you'll see patterns: certain regimes (high vol, trending) tend to resolve around flagged levels more often than others (low vol, ranging), and certain cluster characteristics (large displayed size, within a few percent of price, confirmed by OI and funding) tend to be more informative than others. This journal tells you, cycle by cycle, when your read is worth leaning on (size up) and when it is not (size down or skip). Self-measurement is the fastest path to self-improvement in trading analysis.
The hunt is not about predicting the future. It is about knowing where the fuel sits so you are ready when someone lights the match.
