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CryptoZeno
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CryptoZeno

Verified Creator on #BinanceSquare #CoinMarketCap and #CryptoQuant | On Chain Research and Market Insights with Smart Trading Signals
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The Breakout Trading Strategy I Use to Catch Big MovesI’ve longed resistance and shorted support for 9 years… This is the exact opposite of what every trader tries to do. In this article, I will share my entire strategy so you can skip years of testing and losses. This is something you will want to bookmark, take notes on, and set time aside to think about. Lesson 1: The Only 2 Trading Strategies Before you can identify good momentum setups, you need to understand what momentum trading actually is. Momentum and mean reversion are opposite strategies based on opposite assumptions. The Two Trading Styles Momentum (where you take a trade betting on a continuation of the current trend)Mean Reversion (where you take a trade betting on a reversal of the current trend) One assumes strength continues; the other assumes strength exhausts. Let’s consider this through a visual example. Suppose price is approaching a resistance level (in other words, a level where there was previously selling pressure, preventing the price from moving higher). Momentum assumes the level will break. You’re betting on continuation.Price approaches resistance, you buy, expecting it to push through and keep running.The level becomes support once broken. Mean reversion assumes the level will hold. You’re betting on rejection.Price approaches resistance, you short, expecting it to bounce back down.The level acts as a ceiling. Same chart. Same resistance level. Opposite strategies. There is no right or wrong. The key is to understand when you are in a momentum trade environment, such that momentum strategies are highly aligned. The next section shows you exactly how to identify when the environment favours momentum (my best strategy). Lesson 1 Summary There are 2 trading styles: momentum and mean reversionMean reversion bets levels will hold; momentum bets levels will breakOne is not better than the other; it depends entirely on the trade environment Lesson 2: Optimal Trade Environment Just opening a long every time price hits resistance won't make us any money. Without the right conditions, momentum dies immediately after the breakout. You enter. It reverses. You're stopped out. That's not bad luck, that's a bad trading environment. The Rowing Analogy Imagine you’re rowing a boat. You either row against or with the current. One makes it easier to row while the other takes a lot more effort. Your boat, or rowing technique, didn’t change… Only your environment did. Trading is the same. Your strategy is your boat. Your optimal trade environment is the current. Now use this 3-filter checklist to ensure you only take trades where a breakout is likely (with the current). Filter 1: How Did Price Approach the Level? What you WANT: A slow, grinding staircase pattern approaching resistance.Each candle makes incremental progress.Higher lows are stacking up.Controlled, deliberate movement. What you DON’T want: A fast vertical spike into resistance.Price shoots up in one or two large candles.After a spike, buyers' strength is depleted and price typically consolidates or reverses.This is exhaustion, not momentum. The staircase pattern shows sustained buying pressure building gradually. When this breaks through resistance, buyers are still engaged and ready to push further. Common mistake: Traders see a strong candle break resistance and assume momentum is strong. But these fast moves often reverse quickly. → Do this instead: Take momentum trades when price approaches resistance in a slow, grinding staircase over multiple candles. Real Trade Example: Slow clear grind into resistance showing an optimal ‘price approach to level’ for momentum. Filter 1: slow grindy staircase ✅ Filter 2: What Did Volume Look Like? Volume confirms whether the price movement has conviction behind it. What you WANT: Gradual increase in volume as price approaches resistanceThis pattern shows controlled, sustainable momentum. What you DON’T want: Flat volume (no conviction) or sudden volume spikes (exhaustion).Flat volume means the move lacks participation.Volume spikes often mark climax points where momentum exhausts.Decreasing volume (why would price break out of resistance now, if volume was lower than before?) Volume should mirror the price pattern, steady and building, not erratic. This strategy works because momentum continuation is most likely when participation is sustained, supply is absorbed gradually, and structure remains intact. Real Trade Example: Around the time the grindy staircase begins to emerge, we see a slow, consistent increase in volume. Filter 1: slow grindy staircase ✅Filter 2: clearly increasing volume ✅ Lastly, Filter 3: Moving Average Crossovers This filter distinguishes trending markets (good for momentum) from choppy, indecisive markets (bad for momentum). What you WANT to see: Moving averages with minimal crossovers. This indicates a directional trend. What you DON’T want to see: Frequent crossovers. This signals chop and indecision. Fewer crossovers = cleaner trend or range = better momentum continuation. Use the 30SMMA (Smoothed Moving Average). ✍️Quick Actionable Step: To add the 30SMMA on your charts: Search for the Smoothed Moving Average Indicator in TradingViewAdd it to your chartGo into settings and change the "Length" to "30" Real Trade Example: Filter 1 (Price Action): slow grindy staircase ✅ Filter 2 (Volume): clearly increasing volume ✅ Filter 3 (Crossovers): minimal MA crossovers ✅ 🎓Lesson 2 Summary Slow grinding staircase approaches have better follow-through than fast spikesVolume should be gradual (increasing or decreasing), not flat or spikingFewer MA crossovers indicate cleaner directional conditions for momentum Lesson 3: Identifying Setups Now you know what momentum is. You also know the optimal conditions for it. Next, you need to know where to execute these trades. Step 1: Draw Support and Resistance Levels Momentum trades happen at these key levels. You need to identify them consistently. I've already written an in-depth masterclass on how to set these levels. I'll link it at the end of this article. Common mistake: Traders draw levels randomly or inconsistently, leading to missed setups or false signals. Do this instead: Use my step-by-step approach at the end of this article. Step 2: Await Your Entry Trigger on the 1-Minute Chart Once you’ve identified a resistance level on your primary timeframe, switch to the 1-minute chart for precise entry timing. Why 1-minute chart? You learn faster. More trades, more chart exposure and more oppurtunities to practice psychology. I’ve added a bonus guide on why you should be trading the 1-minute chart at the end of this article. Real Trade Example: Step 3: Three Filters Before entering, check the three filters from Section 2: Is price approaching resistance in a slow staircase pattern?Is volume gradually increasing or decreasing (not flat or spiking)?Are there minimal MA crossovers (not choppy)? If any filter fails, reduce your risk on the trade. Only take full risk on A-grade setups, not forcing trades in poor conditions. 🎓Lesson 3 Summary Draw levels using the ZCT masterclass approach at the end of this articleUse your entry trigger on the 1-minute timeframe: 2 candle closes above for confirmationCheck all three filters before entering, allocate risk and size accordingly Lesson 4: Strategy Logic: Stop Loss, and Take Profit You've drawn your levels. You've confirmed the setup aligns with optimal momentum conditions. Now you need precise execution. Entry timing, stop placement, and profit targets determine whether you capture the momentum move or get stopped out on a good setup. This is where most traders lose, not in analysis, but in execution. Step 4: Entry Trigger We have established to wait for two consecutive 1-minute candles to close fully above the resistance level. This confirms the level broke and momentum is continuing. Critical execution detail: After the second candle closes above resistance, place a limit order AT the resistance level (now acting as support), not above it. Price often pulls back slightly after breaking out. Your limit order gets filled on the pullback without chasing. Common mistake: Traders wait for confirmation, then market-buy above resistance as price runs away. They enter late with a wider stop and worse risk/reward. → Do this instead: Preset your limit order AT resistance after the second candle closes. Let price come back to you. Real Trade Example: Step 5: Stop Loss A swing low is: the lowest wick in a pullback. Your stop loss goes at the most recent swing low before the breakout. Common mistake: Traders place stops at the nearest swing low, even if it’s only 0.3% away, leading to frequent stop-outs from normal volatility Do this instead: Always measure the distance of your stop loss using the ruler tool on TradingView. If it’s less than 1%, use the next swing low down. Step 6: Take Profit 1R (Equal Distance to Stop) Your take profit target is 1R, the same distance as your stop loss, but in the profit direction If your stop loss is 1.982% away from entry, your target is also 1.982% away, but on the upside. This gives you a 1:1 risk/reward ratio. Why 1R? It’s conservative and achievable. Momentum trades often hit 1R quickly because the breakout has follow-through. You’re not trying to catch the entire move, you’re taking a high-probability piece of it. Over time, as you get data in your journal, you can start extending your profit targets when you see how far your average winning trades go beyond 1R. This way, you’re not guessing where to take profits, but following a systematic approach. Real Trade Example: 🎓Lesson 4 summary Enter after two 1-minute candle closes above resistance, using a limit order at prior resistance (now support) to avoid chasing price.Place stop losses at the most recent valid swing low, ensuring enough distance to avoid normal volatility and minor stop hunts.Set initial profit targets at 1R to capture high-probability momentum continuation in a repeatable, systematic way. Immediate Next Steps✍️: Read the Support and Resistance Masterclass to learn how to draw levels (shared at end of article)Look at 3 charts using the 3 filter checklist to identify a momentum trade environmentUse the strategy steps to enter your tradeGather 30 trades using this method, journalled and reviewed against the criteria 🎓 Final Summary Lesson 1: Momentum vs Mean Reversion Momentum trades bet that price will continue through a level, while mean reversion trades bet that a level will hold and reject price.Both strategies are valid, but performance depends entirely on matching the strategy to the correct trade environment. Understanding this distinction prevents applying breakout logic in conditions where it has no edge. Lesson 2: Optimal Trade Environment High-quality breakouts form when price approaches resistance in a slow, grinding staircase rather than fast vertical spikes.Volume should build gradually to confirm sustained participation, not remain flat or spike from exhaustion.Minimal moving average crossovers indicate cleaner directional conditions where momentum continuation is more likely. Lesson 3: Identifying Setups Momentum trades should be executed at consistently drawn support and resistance levels.Entries are triggered on the 1-minute chart using two consecutive candle closes above resistance for confirmation.All three environment filters must align before taking full risk; weaker conditions require reduced sizing or passing the trade. Lesson 4: Stop Loss and Take Profit Enter using a limit order at prior resistance (now support) after two confirmed 1-minute candle closes to avoid chasing price.Stop losses should be placed at the most recent valid swing low with enough distance to avoid normal volatility and minor stop hunts.Initial profit targets are set at 1R to capture high-probability momentum continuation in a repeatable way. 🎓What Changes From Here The next time price approaches resistance, you won’t have to guess if it will break out. You’ll know when a breakout has real momentum, when volume confirms it, and when conditions support follow-through. You’ll also execute with defined entries, stops, and targets. #CryptoZeno #tradingStrategy

The Breakout Trading Strategy I Use to Catch Big Moves

I’ve longed resistance and shorted support for 9 years… This is the exact opposite of what every trader tries to do.
In this article, I will share my entire strategy so you can skip years of testing and losses.
This is something you will want to bookmark, take notes on, and set time aside to think about.
Lesson 1: The Only 2 Trading Strategies
Before you can identify good momentum setups, you need to understand what momentum trading actually is.
Momentum and mean reversion are opposite strategies based on opposite assumptions.
The Two Trading Styles
Momentum (where you take a trade betting on a continuation of the current trend)Mean Reversion (where you take a trade betting on a reversal of the current trend)
One assumes strength continues; the other assumes strength exhausts.
Let’s consider this through a visual example.
Suppose price is approaching a resistance level (in other words, a level where there was previously selling pressure, preventing the price from moving higher).
Momentum assumes the level will break.
You’re betting on continuation.Price approaches resistance, you buy, expecting it to push through and keep running.The level becomes support once broken.
Mean reversion assumes the level will hold.
You’re betting on rejection.Price approaches resistance, you short, expecting it to bounce back down.The level acts as a ceiling.
Same chart. Same resistance level. Opposite strategies.
There is no right or wrong. The key is to understand when you are in a momentum trade environment, such that momentum strategies are highly aligned.
The next section shows you exactly how to identify when the environment favours momentum (my best strategy).
Lesson 1 Summary
There are 2 trading styles: momentum and mean reversionMean reversion bets levels will hold; momentum bets levels will breakOne is not better than the other; it depends entirely on the trade environment
Lesson 2: Optimal Trade Environment
Just opening a long every time price hits resistance won't make us any money.
Without the right conditions, momentum dies immediately after the breakout.
You enter. It reverses. You're stopped out.
That's not bad luck, that's a bad trading environment.
The Rowing Analogy
Imagine you’re rowing a boat.
You either row against or with the current.
One makes it easier to row while the other takes a lot more effort.
Your boat, or rowing technique, didn’t change… Only your environment did.
Trading is the same.
Your strategy is your boat.
Your optimal trade environment is the current.
Now use this 3-filter checklist to ensure you only take trades where a breakout is likely (with the current).
Filter 1: How Did Price Approach the Level?
What you WANT:
A slow, grinding staircase pattern approaching resistance.Each candle makes incremental progress.Higher lows are stacking up.Controlled, deliberate movement.
What you DON’T want:
A fast vertical spike into resistance.Price shoots up in one or two large candles.After a spike, buyers' strength is depleted and price typically consolidates or reverses.This is exhaustion, not momentum.
The staircase pattern shows sustained buying pressure building gradually. When this breaks through resistance, buyers are still engaged and ready to push further.
Common mistake: Traders see a strong candle break resistance and assume momentum is strong. But these fast moves often reverse quickly.
→ Do this instead: Take momentum trades when price approaches resistance in a slow, grinding staircase over multiple candles.
Real Trade Example:
Slow clear grind into resistance showing an optimal ‘price approach to level’ for momentum.
Filter 1: slow grindy staircase ✅
Filter 2: What Did Volume Look Like?
Volume confirms whether the price movement has conviction behind it.
What you WANT:
Gradual increase in volume as price approaches resistanceThis pattern shows controlled, sustainable momentum.
What you DON’T want:
Flat volume (no conviction) or sudden volume spikes (exhaustion).Flat volume means the move lacks participation.Volume spikes often mark climax points where momentum exhausts.Decreasing volume (why would price break out of resistance now, if volume was lower than before?)
Volume should mirror the price pattern, steady and building, not erratic.
This strategy works because momentum continuation is most likely when participation is sustained, supply is absorbed gradually, and structure remains intact.
Real Trade Example:
Around the time the grindy staircase begins to emerge, we see a slow, consistent increase in volume.
Filter 1: slow grindy staircase ✅Filter 2: clearly increasing volume ✅
Lastly,
Filter 3: Moving Average Crossovers
This filter distinguishes trending markets (good for momentum) from choppy, indecisive markets (bad for momentum).
What you WANT to see: Moving averages with minimal crossovers. This indicates a directional trend.
What you DON’T want to see: Frequent crossovers. This signals chop and indecision.
Fewer crossovers = cleaner trend or range = better momentum continuation.
Use the 30SMMA (Smoothed Moving Average).
✍️Quick Actionable Step:
To add the 30SMMA on your charts:
Search for the Smoothed Moving Average Indicator in TradingViewAdd it to your chartGo into settings and change the "Length" to "30"
Real Trade Example:
Filter 1 (Price Action): slow grindy staircase ✅
Filter 2 (Volume): clearly increasing volume ✅
Filter 3 (Crossovers): minimal MA crossovers ✅
🎓Lesson 2 Summary
Slow grinding staircase approaches have better follow-through than fast spikesVolume should be gradual (increasing or decreasing), not flat or spikingFewer MA crossovers indicate cleaner directional conditions for momentum
Lesson 3: Identifying Setups
Now you know what momentum is.
You also know the optimal conditions for it.
Next, you need to know where to execute these trades.
Step 1: Draw Support and Resistance Levels
Momentum trades happen at these key levels. You need to identify them consistently.
I've already written an in-depth masterclass on how to set these levels. I'll link it at the end of this article.
Common mistake: Traders draw levels randomly or inconsistently, leading to missed setups or false signals.
Do this instead: Use my step-by-step approach at the end of this article.
Step 2: Await Your Entry Trigger on the 1-Minute Chart
Once you’ve identified a resistance level on your primary timeframe, switch to the 1-minute chart for precise entry timing.
Why 1-minute chart?
You learn faster.
More trades, more chart exposure and more oppurtunities to practice psychology.
I’ve added a bonus guide on why you should be trading the 1-minute chart at the end of this article.
Real Trade Example:
Step 3: Three Filters
Before entering, check the three filters from Section 2:
Is price approaching resistance in a slow staircase pattern?Is volume gradually increasing or decreasing (not flat or spiking)?Are there minimal MA crossovers (not choppy)?
If any filter fails, reduce your risk on the trade. Only take full risk on A-grade setups, not forcing trades in poor conditions.
🎓Lesson 3 Summary
Draw levels using the ZCT masterclass approach at the end of this articleUse your entry trigger on the 1-minute timeframe: 2 candle closes above for confirmationCheck all three filters before entering, allocate risk and size accordingly
Lesson 4: Strategy Logic: Stop Loss, and Take Profit
You've drawn your levels. You've confirmed the setup aligns with optimal momentum conditions.
Now you need precise execution.
Entry timing, stop placement, and profit targets determine whether you capture the momentum move or get stopped out on a good setup.
This is where most traders lose, not in analysis, but in execution.
Step 4: Entry Trigger
We have established to wait for two consecutive 1-minute candles to close fully above the resistance level. This confirms the level broke and momentum is continuing.
Critical execution detail: After the second candle closes above resistance, place a limit order AT the resistance level (now acting as support), not above it. Price often pulls back slightly after breaking out. Your limit order gets filled on the pullback without chasing.
Common mistake: Traders wait for confirmation, then market-buy above resistance as price runs away. They enter late with a wider stop and worse risk/reward.
→ Do this instead: Preset your limit order AT resistance after the second candle closes. Let price come back to you.
Real Trade Example:
Step 5: Stop Loss
A swing low is:
the lowest wick in a pullback.
Your stop loss goes at the most recent swing low before the breakout.
Common mistake: Traders place stops at the nearest swing low, even if it’s only 0.3% away, leading to frequent stop-outs from normal volatility
Do this instead: Always measure the distance of your stop loss using the ruler tool on TradingView. If it’s less than 1%, use the next swing low down.
Step 6: Take Profit 1R (Equal Distance to Stop)
Your take profit target is 1R, the same distance as your stop loss, but in the profit direction
If your stop loss is 1.982% away from entry, your target is also 1.982% away, but on the upside. This gives you a 1:1 risk/reward ratio.
Why 1R? It’s conservative and achievable. Momentum trades often hit 1R quickly because the breakout has follow-through. You’re not trying to catch the entire move, you’re taking a high-probability piece of it.
Over time, as you get data in your journal, you can start extending your profit targets when you see how far your average winning trades go beyond 1R. This way, you’re not guessing where to take profits, but following a systematic approach.
Real Trade Example:
🎓Lesson 4 summary
Enter after two 1-minute candle closes above resistance, using a limit order at prior resistance (now support) to avoid chasing price.Place stop losses at the most recent valid swing low, ensuring enough distance to avoid normal volatility and minor stop hunts.Set initial profit targets at 1R to capture high-probability momentum continuation in a repeatable, systematic way.
Immediate Next Steps✍️:
Read the Support and Resistance Masterclass to learn how to draw levels (shared at end of article)Look at 3 charts using the 3 filter checklist to identify a momentum trade environmentUse the strategy steps to enter your tradeGather 30 trades using this method, journalled and reviewed against the criteria
🎓 Final Summary
Lesson 1: Momentum vs Mean Reversion
Momentum trades bet that price will continue through a level, while mean reversion trades bet that a level will hold and reject price.Both strategies are valid, but performance depends entirely on matching the strategy to the correct trade environment.
Understanding this distinction prevents applying breakout logic in conditions where it has no edge.
Lesson 2: Optimal Trade Environment
High-quality breakouts form when price approaches resistance in a slow, grinding staircase rather than fast vertical spikes.Volume should build gradually to confirm sustained participation, not remain flat or spike from exhaustion.Minimal moving average crossovers indicate cleaner directional conditions where momentum continuation is more likely.
Lesson 3: Identifying Setups
Momentum trades should be executed at consistently drawn support and resistance levels.Entries are triggered on the 1-minute chart using two consecutive candle closes above resistance for confirmation.All three environment filters must align before taking full risk; weaker conditions require reduced sizing or passing the trade.
Lesson 4: Stop Loss and Take Profit
Enter using a limit order at prior resistance (now support) after two confirmed 1-minute candle closes to avoid chasing price.Stop losses should be placed at the most recent valid swing low with enough distance to avoid normal volatility and minor stop hunts.Initial profit targets are set at 1R to capture high-probability momentum continuation in a repeatable way.
🎓What Changes From Here
The next time price approaches resistance, you won’t have to guess if it will break out.
You’ll know when a breakout has real momentum, when volume confirms it, and when conditions support follow-through.
You’ll also execute with defined entries, stops, and targets.
#CryptoZeno #tradingStrategy
$BTC Searching for something like this going into the monthly close / new month. {future}(BTCUSDT) Today’s candle is most likely the exhaustion candle we usually see at the end of trends. It’s only a matter of how high it extends before the close. I think Wave 3 will be marked below the 82.8k high. Front-running it on the first pump would make a lot of sense because that would bait a lot of people who will be longing towards that high thinking it will likely be taken out now because "we came too close to it" while also front-running the obvious sweep of the high short setups. That’s why I think we’ll move into Wave 4 from here. Another confluence making this more likely is USDT.D also bouncing from the Monthly FVG, so a pullback into Wave 4 is looking very likely. Personally, I am expecting that we'll complete Wave 4 at the 0.382 Fib around 72.9k, where we also have the current Daily Open with the shaved bottom. In impulsive markets we usually see flat pullbacks so a move into 0.382-0.5 fib region is probably going to be the max downside we'll see. For now, I expect us to range within this upper 75k–79k region for a while before eventually retracing into that 72.9k level to mark Wave 4. I’ll make a full update on this soon, but that’s the idea I’m working with right now.
$BTC Searching for something like this going into the monthly close / new month.

Today’s candle is most likely the exhaustion candle we usually see at the end of trends. It’s only a matter of how high it extends before the close.

I think Wave 3 will be marked below the 82.8k high. Front-running it on the first pump would make a lot of sense because that would bait a lot of people who will be longing towards that high thinking it will likely be taken out now because "we came too close to it" while also front-running the obvious sweep of the high short setups.

That’s why I think we’ll move into Wave 4 from here. Another confluence making this more likely is USDT.D also bouncing from the Monthly FVG, so a pullback into Wave 4 is looking very likely.

Personally, I am expecting that we'll complete Wave 4 at the 0.382 Fib around 72.9k, where we also have the current Daily Open with the shaved bottom. In impulsive markets we usually see flat pullbacks so a move into 0.382-0.5 fib region is probably going to be the max downside we'll see.

For now, I expect us to range within this upper 75k–79k region for a while before eventually retracing into that 72.9k level to mark Wave 4.

I’ll make a full update on this soon, but that’s the idea I’m working with right now.
🩸 Another $3.6 BILLION wipeout is WAITING... $3.6B in Bitcoin shorts could be liquidated if $BTC breaks above $80k Over $2.4B in BTC shorts have already been wiped out in the last 3 days. {future}(BTCUSDT)
🩸 Another $3.6 BILLION wipeout is WAITING...

$3.6B in Bitcoin shorts could be liquidated if $BTC breaks above $80k

Over $2.4B in BTC shorts have already been wiped out in the last 3 days.
Partly True
$ONG Up 82% in 24h, 214% over 7 days. There are two things driving this, one technical, one fundamental. {future}(ONGUSDT) Technical side: a classic squeeze Funding at -2.00%, one of the deepest negative readings we've seen. L/S at 0.70, the crowd is short and paying heavily for it right now. OI is up 155% at the same time, so shorts aren't closing, they're piling on. Taker at 1.21, buyers are the aggressive side. Fundamental side: supply is shrinking On August 22, three days from now, Ontology has a network upgrade and hard fork scheduled. Binance and Bithumb are already preparing to suspend ONT/ONG deposits and withdrawals for it. This isn't a routine technical update. Back in November 2025, the community approved cutting ONG's max supply from 1 billion to 800 million, permanently burning 20% of supply. This hard fork is what puts that decision into effect at the protocol level. Big accounts (top trader at 0.68) are short too, even more than the crowd. That's not a "big money on the other side" split, it's everyone crowded on the same side. Trading halts around August 22 could thin out liquidity, and that raises the risk of much sharper liquidations in either direction.
$ONG Up 82% in 24h, 214% over 7 days. There are two things driving this, one technical, one fundamental.

Technical side: a classic squeeze

Funding at -2.00%, one of the deepest negative readings we've seen. L/S at 0.70, the crowd is short and paying heavily for it right now. OI is up 155% at the same time, so shorts aren't closing, they're piling on. Taker at 1.21, buyers are the aggressive side.

Fundamental side: supply is shrinking

On August 22, three days from now, Ontology has a network upgrade and hard fork scheduled. Binance and Bithumb are already preparing to suspend ONT/ONG deposits and withdrawals for it.

This isn't a routine technical update. Back in November 2025, the community approved cutting ONG's max supply from 1 billion to 800 million, permanently burning 20% of supply. This hard fork is what puts that decision into effect at the protocol level.

Big accounts (top trader at 0.68) are short too, even more than the crowd. That's not a "big money on the other side" split, it's everyone crowded on the same side. Trading halts around August 22 could thin out liquidity, and that raises the risk of much sharper liquidations in either direction.
$BTC Update & Hyblock Heatmaps These are the days we are here for! Bitcoin doing Bitcoin things and pumping through all key levels on a real breakout backed by volume. The correction will come 100%, but if BTC could hold the daily 200 moving averages on htf closes, that would be another sign of real strength and a base to attack the low 80s region to set in a higher high. Expecting a correction before low 80s. That will tell us more about the meaning of the current move. {future}(BTCUSDT)
$BTC Update & Hyblock Heatmaps

These are the days we are here for!

Bitcoin doing Bitcoin things and pumping through all key levels on a real breakout backed by volume.

The correction will come 100%, but if BTC could hold the daily 200 moving averages on htf closes, that would be another sign of real strength and a base to attack the low 80s region to set in a higher high.

Expecting a correction before low 80s. That will tell us more about the meaning of the current move.
$BTC 3-Month Liquidation (Macro) {future}(BTCUSDT) Upside Liquidity is heaviest at 76.4k... Think we rip higher soon?
$BTC 3-Month Liquidation (Macro)

Upside Liquidity is heaviest at 76.4k...

Think we rip higher soon?
I’ve been at TermMax’s leverage side more closely, and this is where the design starts to feel quite different from the usual DeFi loop. Instead of manually depositing collateral, borrowing, swapping and repeating the process, TermMax has Gearing Tokens (GT) designed to package a leveraged position into a single token. The position can then be managed through TermMax rather than rebuilding the whole leverage loop every time. What I find interesting is the risk structure. TermMax describes GT as using a fixed-rate borrowing cost, so the leverage position is not exposed to the same floating borrowing-rate changes you normally have to monitor in lending protocols. The protocol also supports partial or full repayment and collateral adjustments before maturity. I actually prefer this kind of design when the goal is to make leverage easier to manage, because the operational side can become just as annoying as the leverage itself. One less sequence of manual transactions is meaningful if the position needs to be adjusted quickly. I’d still like to see TermMax expose more detailed historical data for GT positions, especially average leverage, duration and liquidation-free position performance. That would make it much easier to judge how these products behave beyond the initial interface. Would you rather manage leverage through something like a GT, or keep doing the traditional deposit → borrow → loop process yourself? @termmax $TMX #TermMax
I’ve been at TermMax’s leverage side more closely, and this is where the design starts to feel quite different from the usual DeFi loop.
Instead of manually depositing collateral, borrowing, swapping and repeating the process, TermMax has Gearing Tokens (GT) designed to package a leveraged position into a single token. The position can then be managed through TermMax rather than rebuilding the whole leverage loop every time.
What I find interesting is the risk structure. TermMax describes GT as using a fixed-rate borrowing cost, so the leverage position is not exposed to the same floating borrowing-rate changes you normally have to monitor in lending protocols. The protocol also supports partial or full repayment and collateral adjustments before maturity.
I actually prefer this kind of design when the goal is to make leverage easier to manage, because the operational side can become just as annoying as the leverage itself. One less sequence of manual transactions is meaningful if the position needs to be adjusted quickly.
I’d still like to see TermMax expose more detailed historical data for GT positions, especially average leverage, duration and liquidation-free position performance. That would make it much easier to judge how these products behave beyond the initial interface.
Would you rather manage leverage through something like a GT, or keep doing the traditional deposit → borrow → loop process yourself?
@TermMax $TMX #TermMax
Verified
At first, the SME angle on Dusk less interesting than the usual institutional RWA story. Then I thought about the actual problem: a smaller private company can have a solid business but still struggle to access capital markets because the infrastructure around issuance, investor access and compliance is expensive and fragmented. That is where tokenization starts to make more sense to me. The useful part is not simply turning a private-market asset into a token. It is making smaller offerings easier to structure, distribute and manage while keeping the regulatory requirements intact. Dusk is specifically exploring this direction with tokenized private markets for SMEs, which like a much more practical use case than putting another large asset onchain. There is also an interesting limitation here. Better blockchain infrastructure does not automatically create buyers for smaller securities. Liquidity, investor eligibility and market access still have to be solved. So I actually hope the Dusk team keeps developing the market-access side of this idea instead of focusing only on the blockchain layer. Making private-market financing more accessible to smaller companies become one of the strongest real-world tests for $DUSK ? #dusk @Dusk_Foundation
At first, the SME angle on Dusk less interesting than the usual institutional RWA story. Then I thought about the actual problem: a smaller private company can have a solid business but still struggle to access capital markets because the infrastructure around issuance, investor access and compliance is expensive and fragmented.
That is where tokenization starts to make more sense to me. The useful part is not simply turning a private-market asset into a token. It is making smaller offerings easier to structure, distribute and manage while keeping the regulatory requirements intact. Dusk is specifically exploring this direction with tokenized private markets for SMEs, which like a much more practical use case than putting another large asset onchain.
There is also an interesting limitation here. Better blockchain infrastructure does not automatically create buyers for smaller securities. Liquidity, investor eligibility and market access still have to be solved. So I actually hope the Dusk team keeps developing the market-access side of this idea instead of focusing only on the blockchain layer.
Making private-market financing more accessible to smaller companies become one of the strongest real-world tests for $DUSK ?
#dusk @Dusk
$BTC The HTF POC has been flipped. It was a sign of accumulation as mentioned, but now that we’ve seen a shift in market structure despite seasonality. Ideally, bulls want to maintain above it. {future}(BTCUSDT) If we hold above the POC (with some slight deviation being expected), you’d expect a higher low to form into the next leg. So watch for stalling, then observe the 65–68K region, as that’s around where the increased volume sits & where big buyers are likely to step in.
$BTC The HTF POC has been flipped. It was a sign of accumulation as mentioned, but now that we’ve seen a shift in market structure despite seasonality. Ideally, bulls want to maintain above it.

If we hold above the POC (with some slight deviation being expected), you’d expect a higher low to form into the next leg. So watch for stalling, then observe the 65–68K region, as that’s around where the increased volume sits & where big buyers are likely to step in.
Before you get giga bullish, please read this. Bitcoin pumped +15% in the last 4 days, flipping short-term momentum ultra-bullish, but this does not fully cancel the risk of a Q4 correction and bottom. 1. Why this is the first real reversal sign -BTC reclaimed its weekly MA 200 -Bullish RSI divergence & MACD crossover - Macro conditions are bullish with Core inflation at 5-year lows and ISM at a 4-year high. - Russell 2000 is hitting new highs ( historically leading indicator for crypto ) 2. The warning In July–August 2022, BTC rallied +40% with identical metrics before violently dropping -22% in a single week of November and printing new lows. 3. Conclusion Short-term momentum has clearly shifted bullish, but the larger trend structure has not fully flipped yet. Holding above $67K keeps the recovery intact; losing it would mean the breakout was a fakeout. {future}(BTCUSDT)
Before you get giga bullish, please read this.

Bitcoin pumped +15% in the last 4 days, flipping short-term momentum ultra-bullish, but this does not fully cancel the risk of a Q4 correction and bottom.

1. Why this is the first real reversal sign

-BTC reclaimed its weekly MA 200
-Bullish RSI divergence & MACD crossover
- Macro conditions are bullish with Core inflation at 5-year lows and ISM at a 4-year high.
- Russell 2000 is hitting new highs ( historically leading indicator for crypto )

2. The warning

In July–August 2022, BTC rallied +40% with identical metrics before violently dropping -22% in a single week of November and printing new lows.

3. Conclusion

Short-term momentum has clearly shifted bullish, but the larger trend structure has not fully flipped yet.

Holding above $67K keeps the recovery intact; losing it would mean the breakout was a fakeout.
$HEI stuck in a range since the old high, but funding just broke.stuck in a range since the old high, but funding just broke. {future}(HEIUSDT) It ran from 0.08 to 0.54 before. Been flat in the 0.12-0.18 range for a while since. Three things stand out on the board right now. Funding snapped suddenly After sitting flat for hours, it swung sharply from -0.05 to -0.27. That's not just price moving, it's positioning itself shifting. The crowd flipped short and is now paying for it. There's a split L/S at 0.82, the crowd is short. Top trader positions at 1.47, big accounts sit the opposite way. The gap is clear. The structure needs attention though OI at 44.9% of mcap, high. On a $10.66M token there's $4.78M in open positions, so even a small move can get amplified. Levels 0.20 is psychological resistance. There's a liquidation cluster at 0.29, if a move toward it starts, it could feed on itself. How I read it The crowd is short and paying, big accounts sit opposite, and the funding regime just broke. All three point the same way. What I'm watching Whether it holds above 0.20. If it breaks, the cluster at 0.29 comes into play. Whether funding stays at this level, whether the crowd keeps paying to hold.
$HEI stuck in a range since the old high, but funding just broke.stuck in a range since the old high, but funding just broke.

It ran from 0.08 to 0.54 before. Been flat in the 0.12-0.18 range for a while since. Three things stand out on the board right now.

Funding snapped suddenly

After sitting flat for hours, it swung sharply from -0.05 to -0.27. That's not just price moving, it's positioning itself shifting. The crowd flipped short and is now paying for it.

There's a split

L/S at 0.82, the crowd is short. Top trader positions at 1.47, big accounts sit the opposite way. The gap is clear.

The structure needs attention though

OI at 44.9% of mcap, high. On a $10.66M token there's $4.78M in open positions, so even a small move can get amplified.

Levels

0.20 is psychological resistance. There's a liquidation cluster at 0.29, if a move toward it starts, it could feed on itself.

How I read it

The crowd is short and paying, big accounts sit opposite, and the funding regime just broke. All three point the same way.

What I'm watching

Whether it holds above 0.20. If it breaks, the cluster at 0.29 comes into play.

Whether funding stays at this level, whether the crowd keeps paying to hold.
Fun Times Ahead for $BTC {future}(BTCUSDT) The most boring phase of the market is behind us. Price action is going to get a lot more interesting from here.
Fun Times Ahead for $BTC

The most boring phase of the market is behind us.

Price action is going to get a lot more interesting from here.
He’s long $100M of $HYPE {future}(HYPEUSDT) Trader “watershedpath” has been long HYPE for almost a year, since October 2025. His position has now grown from $55M to $99.7M as HYPE’s price rebounded. He is now up $46.3M in profit, and withdrew $10M from this position to Coinbase just last night.
He’s long $100M of $HYPE

Trader “watershedpath” has been long HYPE for almost a year, since October 2025. His position has now grown from $55M to $99.7M as HYPE’s price rebounded.

He is now up $46.3M in profit, and withdrew $10M from this position to Coinbase just last night.
$BTC Nailed The Spot Buys! {future}(BTCUSDT) The first entry was right from the pico bottom, where I deployed 40%. Then, at 62.6k, I deployed another 30% as I was expecting us to hold that level and push higher and we did exactly that. I’m now 70% exposed in spot, with my average entry sitting around the 60.7k region. The current size of my spot position is more than enough for me to hold over the next few years. The remaining 30% was always kept aside as an insurance fund in case we got another dip lower, something I considered unlikely, and ultimately, we never got it. So now, the remaining 30% will be deployed according to my Plan B: buying the first meaningful pullback after confirmation of the bottom. This first pullback could take some time to develop, but once we get it, I’ll be adding the remaining 30% into my spot bags. I’ll keep you guys posted.
$BTC Nailed The Spot Buys!

The first entry was right from the pico bottom, where I deployed 40%. Then, at 62.6k, I deployed another 30% as I was expecting us to hold that level and push higher and we did exactly that.

I’m now 70% exposed in spot, with my average entry sitting around the 60.7k region.

The current size of my spot position is more than enough for me to hold over the next few years.

The remaining 30% was always kept aside as an insurance fund in case we got another dip lower, something I considered unlikely, and ultimately, we never got it.

So now, the remaining 30% will be deployed according to my Plan B: buying the first meaningful pullback after confirmation of the bottom.

This first pullback could take some time to develop, but once we get it, I’ll be adding the remaining 30% into my spot bags.

I’ll keep you guys posted.
$BOME has support below, resistance above. Volume could break that balance. {future}(BOMEUSDT) BTC is above $70,000, the market is recovering, and BOME is up 54% in the last 24 hours. The order book shows a clear structure: buy orders sitting at 0.001 and 0.0011, sell orders stacked from 0.0014 up to 0.0022. So the area just below price is protected, while the area above is contested. The downside looks solid The buy orders at 0.001 and 0.0011 sit close to current price. That means there's a quick cushion if there's a pullback. Even if price dips, buyers are waiting at those levels. The upside is where the real test is The sell wall starting at 0.0014, with the largest order at $83K, stretches up to 0.0022. That's the zone price needs to clear to keep climbing. But this much volume could push through it OI is up 151% in 24 hours, futures volume sits at $316M. With momentum at this scale, stacked sell orders can get eaten through faster than usual. If that wall breaks, it leaves open space above it, which can accelerate a move. The structure fits that setup Taker is at 0.98, balanced. Top trader positions are at 1.67, big accounts are already long. OI at 22.7% of mcap isn't stretched yet, so there's still room for more leverage to come in. How I read it Support underneath limits the downside risk. The 0.0014-0.0022 band above is the real test. If volume eats through it fast, you get a setup with solid support below and open space above, the kind of structure that can fuel a sharper move. Because the support sits below, this also offers some protection against a pullback. So there's upside potential without the downside being fully exposed. What I'm watching The first touch of 0.0014. If those orders melt away quickly, the breakout scenario gets stronger. Whether the 0.001-0.0011 support holds. If it does, the downside stays protected.
$BOME has support below, resistance above. Volume could break that balance.

BTC is above $70,000, the market is recovering, and BOME is up 54% in the last 24 hours. The order book shows a clear structure: buy orders sitting at 0.001 and 0.0011, sell orders stacked from 0.0014 up to 0.0022.

So the area just below price is protected, while the area above is contested.

The downside looks solid

The buy orders at 0.001 and 0.0011 sit close to current price. That means there's a quick cushion if there's a pullback. Even if price dips, buyers are waiting at those levels.

The upside is where the real test is

The sell wall starting at 0.0014, with the largest order at $83K, stretches up to 0.0022. That's the zone price needs to clear to keep climbing.

But this much volume could push through it

OI is up 151% in 24 hours, futures volume sits at $316M. With momentum at this scale, stacked sell orders can get eaten through faster than usual. If that wall breaks, it leaves open space above it, which can accelerate a move.

The structure fits that setup

Taker is at 0.98, balanced. Top trader positions are at 1.67, big accounts are already long. OI at 22.7% of mcap isn't stretched yet, so there's still room for more leverage to come in.

How I read it

Support underneath limits the downside risk. The 0.0014-0.0022 band above is the real test. If volume eats through it fast, you get a setup with solid support below and open space above, the kind of structure that can fuel a sharper move.

Because the support sits below, this also offers some protection against a pullback. So there's upside potential without the downside being fully exposed.

What I'm watching

The first touch of 0.0014. If those orders melt away quickly, the breakout scenario gets stronger.

Whether the 0.001-0.0011 support holds. If it does, the downside stays protected.
A whale bought $67,420,000 in $ETH today. {future}(ETHUSDT) Huge Accumulation.
A whale bought $67,420,000 in $ETH today.

Huge Accumulation.
$BTC We cleared the majority of the range high liquidity and pushed into the imbalance zone created by the dump we saw back in June, which is now being cleared. {future}(BTCUSDT) The main objective of this move up should be to clear June’s monthly high at 74k. That’s where the most amount of liquidity is currently resting from a structural POV. It also lines up with the 2025 Yearly Low around the 74.4k region. Overall, this is the zone I expect us to tap into shortly before seeing any meaningful pullback to the downside. A reclaim of this area would open the door for an extension towards the 78k–82k region, which I find less likely given the amount of imbalance created during this recent pump and the fact that the trend across the major timeframes is now showing signs of exhaustion. Something important to mention here is that it’s always better to rely on structure and price action when identifying liquidity zones. While the majority were targeting the liquidity clusters sitting below 61k and 57k based of heatmaps, we were reading the structure and identified the bait early which allowed us to position accordingly and stay ahead of the move.
$BTC We cleared the majority of the range high liquidity and pushed into the imbalance zone created by the dump we saw back in June, which is now being cleared.

The main objective of this move up should be to clear June’s monthly high at 74k. That’s where the most amount of liquidity is currently resting from a structural POV. It also lines up with the 2025 Yearly Low around the 74.4k region.

Overall, this is the zone I expect us to tap into shortly before seeing any meaningful pullback to the downside.

A reclaim of this area would open the door for an extension towards the 78k–82k region, which I find less likely given the amount of imbalance created during this recent pump and the fact that the trend across the major timeframes is now showing signs of exhaustion.

Something important to mention here is that it’s always better to rely on structure and price action when identifying liquidity zones.

While the majority were targeting the liquidity clusters sitting below 61k and 57k based of heatmaps, we were reading the structure and identified the bait early which allowed us to position accordingly and stay ahead of the move.
$BTC Update & Hyblock Heatmaps +7% daily candle for Bitcoin, 17% for ETH. NET is going parabolic and sitting at 3x from our entry. Finally, we're back! BTC broke range high in a blink and just needed some hours for the daily SMA200 - but in the end, it is holding above. Think the next real resistance is the box. We should have a quick bullish retest of one of the levels below after this pump. But the real question comes in the box. 72k area is my target for some time as you know. Will look for shorts there. But if 72k area holds, it's time to aim for 82k. Check chart. Absolutely not sure whether we see a hard rejection at 72k and get new lows or if we get a higher high above 82k and see bull and new highs. Btw, nobody knows for sure. Ignore everyone who is talking with 100% conviction. Stay tuned for some exciting weeks! {future}(BTCUSDT)
$BTC Update & Hyblock Heatmaps

+7% daily candle for Bitcoin, 17% for ETH. NET is going parabolic and sitting at 3x from our entry. Finally, we're back!

BTC broke range high in a blink and just needed some hours for the daily SMA200 - but in the end, it is holding above.

Think the next real resistance is the box. We should have a quick bullish retest of one of the levels below after this pump.

But the real question comes in the box. 72k area is my target for some time as you know. Will look for shorts there.

But if 72k area holds, it's time to aim for 82k. Check chart.

Absolutely not sure whether we see a hard rejection at 72k and get new lows or if we get a higher high above 82k and see bull and new highs.

Btw, nobody knows for sure. Ignore everyone who is talking with 100% conviction.

Stay tuned for some exciting weeks!
A feature I’ve been paying more attention to on TermMax is the way it handles rate discovery. After going through the markets, I found the curator model more interesting than I initially expected. TermMax allows curators to set custom AMM curves for a market, so the rate can change with liquidity depth instead of every lender simply receiving one flat rate. Multiple curator curves can also be aggregated into the same market. That changes how I would read a TermMax market. I wouldn’t just compare the headline lend APR. I’d also look at how much liquidity is available around that rate and how the rate moves as more capital gets matched. In other words, the depth of the curve is part of the price. I actually think this is one of the more interesting technical directions for fixed-rate DeFi, because it makes interest rates behave a little more like an order book while keeping the AMM structure. TermMax has also moved from its earlier orderbook/auction design toward the current AMM + range-order approach. The part I’d like to see the TermMax team improve further is the analytics around these curves. A clearer historical view of rate vs. liquidity depth vs. actual matching would make it much easier to understand whether a quoted rate is genuinely competitive. That’s something I’d probably check every time before entering a market. Would a historical rate-depth chart make TermMax markets easier for you to evaluate too? @termmax $TMX #TermMax
A feature I’ve been paying more attention to on TermMax is the way it handles rate discovery.
After going through the markets, I found the curator model more interesting than I initially expected. TermMax allows curators to set custom AMM curves for a market, so the rate can change with liquidity depth instead of every lender simply receiving one flat rate. Multiple curator curves can also be aggregated into the same market.
That changes how I would read a TermMax market. I wouldn’t just compare the headline lend APR. I’d also look at how much liquidity is available around that rate and how the rate moves as more capital gets matched. In other words, the depth of the curve is part of the price.
I actually think this is one of the more interesting technical directions for fixed-rate DeFi, because it makes interest rates behave a little more like an order book while keeping the AMM structure. TermMax has also moved from its earlier orderbook/auction design toward the current AMM + range-order approach.
The part I’d like to see the TermMax team improve further is the analytics around these curves. A clearer historical view of rate vs. liquidity depth vs. actual matching would make it much easier to understand whether a quoted rate is genuinely competitive.
That’s something I’d probably check every time before entering a market. Would a historical rate-depth chart make TermMax markets easier for you to evaluate too?
@TermMax $TMX #TermMax
A detail in Dusk’s RWA approach that gets less attention is the difference between tokenizing an asset and issuing it natively onchain. Tokenization can take an existing security and create a blockchain representation of it. Native issuance goes further. The asset can originate within an onchain issuance workflow, which could change how ownership records, transfers and settlement are handled from the beginning instead of adding blockchain infrastructure after the fact. That distinction matters more with regulated securities. A bond or fund share is not just a token balance. There are issuance rules, investor eligibility, transfer restrictions, reporting and settlement requirements around it. Dusk is building infrastructure around those conditions while keeping the financial asset programmable. What makes this interesting is the gap between putting an asset onchain and actually running its lifecycle there. Personally, I would like to see the @Dusk_Foundation development team push this part further, especially around the tools institutions would need to create and manage native securities without rebuilding their existing workflows from scratch. Could native issuance eventually become one of the areas where Dusk feels genuinely different from the usual RWA tokenization model? $DUSK @Dusk_Foundation #dusk
A detail in Dusk’s RWA approach that gets less attention is the difference between tokenizing an asset and issuing it natively onchain.
Tokenization can take an existing security and create a blockchain representation of it. Native issuance goes further. The asset can originate within an onchain issuance workflow, which could change how ownership records, transfers and settlement are handled from the beginning instead of adding blockchain infrastructure after the fact.
That distinction matters more with regulated securities. A bond or fund share is not just a token balance. There are issuance rules, investor eligibility, transfer restrictions, reporting and settlement requirements around it. Dusk is building infrastructure around those conditions while keeping the financial asset programmable.
What makes this interesting is the gap between putting an asset onchain and actually running its lifecycle there. Personally, I would like to see the @Dusk development team push this part further, especially around the tools institutions would need to create and manage native securities without rebuilding their existing workflows from scratch.
Could native issuance eventually become one of the areas where Dusk feels genuinely different from the usual RWA tokenization model?
$DUSK @Dusk #dusk
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