Weekly Liquidation Hunt Template: How to Analyze BTC and ETH Key Levels Every Week

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.

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:

1. Current $BTC price and $ETH price (at time of analysis)
2. BTC LiqMap (All Leverage view, current snapshot)
3. ETH LiqMap (All Leverage view, current snapshot)
4. BTC High Leverage LiqMap (for scalping/micro-cluster awareness -- see our scalping toolbox guide)
5. ETH High Leverage LiqMap (same)
6. Current funding rates (BTC and ETH, across major exchanges)
7. Open Interest levels (BTC and ETH, note if rising or falling)
8. Long/Short ratio (current reading and 7-day range -- see our L/S ratio analysis)
9. TOF reading (any active spikes or notable baseline)
10. 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:

Cluster 1 -- Nearest Above Price (Short Liquidations):

Price Zone: [$X,XXX - $X,XXX]
Estimated Size: [$XM - $XM]
Z-Score: [X.X]
Distance from Current: [+/-X.X%]
Exchange Concentration: [Binance / Bybit / OKX / Mixed]
Risk Level: [LOW / MEDIUM / HIGH / EXTREME]

Cluster 2 -- Nearest Below Price (Long Liquidations):

[Same format as above]

Cluster 3 -- Secondary Above (if significant):

[Same format]

Cluster 4 -- Secondary Below (if significant):

[Same format]

Cluster 5 -- Outlier / Magnet Level (distant but noteworthy):

[Same format -- only include if Z-score > 2.5 or size > $500M]

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 often 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, typically 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 extremely 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 (What If I'm Wrong?):

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) often 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. These are prime Monday sweep targets.

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 often see position rotation that creates or dissipates clusters.

What to do: Note which side of funding is extreme. Pre-settlement unwinds create predictable short-term moves toward opposing clusters.

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. Eventually, 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 are pre-conditions for explosive breakout/reversal trades.

Pattern 4: The Post-Sweep Rebuild

After a major cluster gets swept, the market does not immediately establish new structure. Instead, new clusters start forming around the post-sweep price level. These "rebuild clusters" are often lower quality (smaller Z-score) but can still produce tradable moves as trapped late entrants add to them.

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. Most traders saw it coming but 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

1. BTC Deep Dive (40% of content) -- Clusters, thesis, setup
2. ETH Deep Dive (30% of content) -- Clusters, thesis, setup
3. Cross-Asset and Risk Notes (15% of content) -- Correlation, funding, warnings
4. 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 predictions 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 actually 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 most traders spend scrolling Twitter for alpha. The return on that 90 minutes: a clear thesis for every upcoming week, documented levels to watch, and a track record you can review monthly to measure your improving (or not) prediction accuracy.

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 accurate are weekly liquidation predictions over time? A: Realistic expectations: individual cluster-level predictions (price WILL hit $X cluster this week) have roughly 50-60% accuracy in any given week -- clusters are probabilities, not certainties. But DIRECTIONAL predictions (price more likely to test upside clusters OR downside clusters this week) based on combined OI trend + funding bias + GEX+ regime + cluster distribution reach 65-75% accuracy for experienced analysts. The value isn't in calling every level perfectly -- it's in having a FRAMEWORK that identifies WHERE the action will likely occur so you're positioned and ready when it does. One correctly anticipated $2B cluster sweep pays for weeks of analysis time.

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 reliable 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 reliable, and more susceptible to single-whale manipulation. Factor that into your confidence level for alt cluster predictions. An ETH cluster prediction carries more weight than a SOL cluster prediction of the same nominal size.

Q: What's the single most important metric to track week-over-week in my Liquidation Hunt journal? A: Cluster ACCURACY RATE -- what percentage of the clusters you identified as "likely to be tested this week" actually got tested? Track this number every week for 12 weeks. You'll see patterns: certain market regimes (high vol, trending) produce higher accuracy than others (low vol, ranging). Certain asset classes (BTC) more predictable than others (mid-cap alts). Certain cluster characteristics (size >$1B, within 3% of price, confirmed by OI/funding) more reliable than others. This tracking data eventually tells you WHEN your analysis is trustworthy (bet bigger) and when it's 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.