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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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Dusk Is Bringing More Of The Regulated Asset Lifecycle Onchain, Not Just The Asset Itself Tokenization usually gets the attention because it is the easiest part to show. Put a bond or fund onchain and suddenly there is something visible to point at. Dusk native issuance model goes further by targeting parts of the lifecycle that normally remain outside the token itself: issuance, transfer rules, settlement, review and servicing. That makes the blockchain responsible for more than representing an existing security. @Dusk_Foundation is trying to make the asset’s operating rules part of the infrastructure. The same idea shows up in Dusk Trade. Its workflow covers onboarding, wallet connection, asset discovery, buying and selling, payment coordination and settlement, with MMFs, ETFs and bonds among the intended products. Underneath that, the $DUSK stack is also designed for regulated privacy, where sensitive information can stay protected while selective disclosure gives authorized parties a way to review it. There is already a concrete institutional angle behind this architecture. NPEX is an AFM-regulated exchange licensed as an MTF, Broker and ECSP, and its partnership with Dusk targets more than €300M in assets being brought onchain. Chainlink is also part of the infrastructure picture, strengthening the connection between Dusk and external data and interoperability. What I’d like to see from the Dusk team next is how far this model can go as more regulated assets come onchain. With native issuance, Dusk Trade, selective disclosure and deterministic settlement developing together, the next step could be supporting more complex asset lifecycles without adding extra layers around the investor. That would make the work Dusk is already doing even more relevant to regulated markets. @Dusk_Foundation #DUSK
Dusk Is Bringing More Of The Regulated Asset Lifecycle Onchain, Not Just The Asset Itself

Tokenization usually gets the attention because it is the easiest part to show. Put a bond or fund onchain and suddenly there is something visible to point at.
Dusk native issuance model goes further by targeting parts of the lifecycle that normally remain outside the token itself: issuance, transfer rules, settlement, review and servicing. That makes the blockchain responsible for more than representing an existing security. @Dusk is trying to make the asset’s operating rules part of the infrastructure.

The same idea shows up in Dusk Trade. Its workflow covers onboarding, wallet connection, asset discovery, buying and selling, payment coordination and settlement, with MMFs, ETFs and bonds among the intended products. Underneath that, the $DUSK stack is also designed for regulated privacy, where sensitive information can stay protected while selective disclosure gives authorized parties a way to review it.

There is already a concrete institutional angle behind this architecture. NPEX is an AFM-regulated exchange licensed as an MTF, Broker and ECSP, and its partnership with Dusk targets more than €300M in assets being brought onchain. Chainlink is also part of the infrastructure picture, strengthening the connection between Dusk and external data and interoperability.

What I’d like to see from the Dusk team next is how far this model can go as more regulated assets come onchain. With native issuance, Dusk Trade, selective disclosure and deterministic settlement developing together, the next step could be supporting more complex asset lifecycles without adding extra layers around the investor. That would make the work Dusk is already doing even more relevant to regulated markets.
@Dusk #DUSK
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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
If $BTC accepts above the $83K range, the trend has significantly shifted from a TA perspective. Right now, technically speaking, the trend has not shifted yet because we haven’t reclaimed and flipped the $83K high on the weekly. I’m ~80% confident the bottom is already in, but if we’re looking strictly at technical confirmation, 83K is the level that needs to break and hold for a meaningful trend shift. This analysis is based on the HTF structure. So when we do reclaim 83K, be careful about blindly shorting the move higher. There’s a very real possibility that doing so gets you squeezed aggressively into the mid-90Ks. I expect some chop for now, but keep this in mind. {future}(BTCUSDT)
If $BTC accepts above the $83K range, the trend has significantly shifted from a TA perspective.

Right now, technically speaking, the trend has not shifted yet because we haven’t reclaimed and flipped the $83K high on the weekly.

I’m ~80% confident the bottom is already in, but if we’re looking strictly at technical confirmation, 83K is the level that needs to break and hold for a meaningful trend shift.

This analysis is based on the HTF structure.

So when we do reclaim 83K, be careful about blindly shorting the move higher. There’s a very real possibility that doing so gets you squeezed aggressively into the mid-90Ks.

I expect some chop for now, but keep this in mind.
Big money is no longer clearly opposite the crowd. The split is weakening. $BMT {future}(BMTUSDT) Earlier updates: Top traders 1.63 → 1.42 Crowd 0.72–0.74 Now: Top traders 0.98 Crowd 0.72 The strongest part of the previous reading, big accounts sitting against the crowd, has faded. What is still in place >Funding still deeply negative at -0.30% (touched -0.86%). >Crowd still short (L/S 0.72). >Price +58.76% in 24h, not giving way. >OI +167%, fresh positioning still coming in. >Taker 0.92, slightly seller-heavy. >$1.59M liquidated in 24h. >The 0.041 cluster on the map is unchanged. How I read it Crowd short + deep funding + price holding is still running. But the split that made the setup cleaner is now much weaker. What I’m watching – Whether top traders stay near the crowd or reopen the split – Funding remaining this negative – The 0.041 level
Big money is no longer clearly opposite the crowd. The split is weakening. $BMT

Earlier updates:
Top traders 1.63 → 1.42
Crowd 0.72–0.74

Now:
Top traders 0.98
Crowd 0.72

The strongest part of the previous reading, big accounts sitting against the crowd, has faded.

What is still in place

>Funding still deeply negative at -0.30% (touched -0.86%).
>Crowd still short (L/S 0.72).
>Price +58.76% in 24h, not giving way.
>OI +167%, fresh positioning still coming in.
>Taker 0.92, slightly seller-heavy.
>$1.59M liquidated in 24h.
>The 0.041 cluster on the map is unchanged.

How I read it

Crowd short + deep funding + price holding is still running. But the split that made the setup cleaner is now much weaker.

What I’m watching

– Whether top traders stay near the crowd or reopen the split
– Funding remaining this negative
– The 0.041 level
CryptoZeno
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$BMT update: the squeeze potential is playing out.


Funding is now at -0.39%, much deeper. L/S at 0.74, the crowd is still short and now paying a heavier cost.

Price isn't dropping, up 20.55% in 24h, 16.54% over 7 days. OI is up 42.6%, not closing, shorts are still holding their ground and new ones are piling in.

Top trader positions at 1.63, the opposite side of the crowd. Real split, big money is long.

Taker at 1.10, buyers are aggressive. Futures at 2.9x spot, spot volume is solid ($5.90M), part of this move is real buying.

How I read it

The 0.041 level flagged earlier is still the reference point. The squeeze mechanism is clearer now: crowd short, funding deep, price holding, OI climbing. Shorts haven't given in yet, meaning the fuel is still sitting there.

What I'm watching

The approach to 0.041.
Whether funding keeps getting deeper.
Partly True
$BTR 18.97M tokens unlock tomorrow, 5.7% of circulating supply. But that's not the biggest risk in this picture.18.97M tokens unlock tomorrow, 5.7% of circulating supply. But that's not the biggest risk in this picture. {future}(BTRUSDT) Price went from 0.035 to 0.117 in three days, up 257%. OI is up 769% over the same stretch, far faster than price, fresh leverage flowing in. 18.97 million BTR unlocks, 1.9% of total supply, 5.7% of current circulating supply. Breakdown: community ~55.5%, private investors ~28.4%, insiders ~16.1%. This is part of the regular monthly unlock schedule, repeating on the 27th of each month. The amount shrinks over time, this month's impact is 4.2% of market cap, already a declining trend from prior months. The team allocation (120M tokens, 12% of total supply) stays fully locked until August 27, 2027. OI at 89.4% of mcap, a book close to the size of the token's own market cap. Futures at 14.9x spot, spot volume stays thin. Funding at 0.08% and climbing, longs have started paying. L/S at 0.41, the crowd is clearly short. $4.69M liquidated in 24h. There are two separate layers here: the unlock schedule and the leverage structure. The unlock amount is small and part of a schedule known for months. The leverage side has grown eightfold in three days, a much fresher and less predictable variable. Both land on the same day, but they're different mechanisms, one slow and planned, the other fast and new.
$BTR 18.97M tokens unlock tomorrow, 5.7% of circulating supply. But that's not the biggest risk in this picture.18.97M tokens unlock tomorrow, 5.7% of circulating supply. But that's not the biggest risk in this picture.

Price went from 0.035 to 0.117 in three days, up 257%. OI is up 769% over the same stretch, far faster than price, fresh leverage flowing in.

18.97 million BTR unlocks, 1.9% of total supply, 5.7% of current circulating supply. Breakdown: community ~55.5%, private investors ~28.4%, insiders ~16.1%.

This is part of the regular monthly unlock schedule, repeating on the 27th of each month. The amount shrinks over time, this month's impact is 4.2% of market cap, already a declining trend from prior months.

The team allocation (120M tokens, 12% of total supply) stays fully locked until August 27, 2027.

OI at 89.4% of mcap, a book close to the size of the token's own market cap. Futures at 14.9x spot, spot volume stays thin. Funding at 0.08% and climbing, longs have started paying. L/S at 0.41, the crowd is clearly short. $4.69M liquidated in 24h.

There are two separate layers here: the unlock schedule and the leverage structure. The unlock amount is small and part of a schedule known for months. The leverage side has grown eightfold in three days, a much fresher and less predictable variable. Both land on the same day, but they're different mechanisms, one slow and planned, the other fast and new.
CryptoZeno
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$BTR update: still heavily stretched, but the crowd has flipped short.


OI at 82.4% of mcap, down from 106% earlier but still very high. OI up 503%, still far faster than price (114%).

Funding is flat at 0.005%, way down from 0.16% before. Longs aren't paying anymore.

L/S at 0.46, the crowd is now clearly short. It was 0.60 in the last reading, so the crowd has drifted further short. Top trader positions at 1.26, big money is long. A real split.

Taker at 1.04, slightly buyer-leaning.

The earlier "fake uptrend, longs paying" picture has flipped into "crowd short, squeeze potential."

The mechanism reversed. Structure is still extremely stretched, sharp moves are likely in either direction.
BULLISH: Tom Lee's BitMine bought $48.89 Million worth of Ethereum today. Big money continues to load up on $ETH {future}(ETHUSDT)
BULLISH: Tom Lee's BitMine bought $48.89 Million worth of Ethereum today.

Big money continues to load up on $ETH
$BTR update: still heavily stretched, but the crowd has flipped short. {future}(BTRUSDT) OI at 82.4% of mcap, down from 106% earlier but still very high. OI up 503%, still far faster than price (114%). Funding is flat at 0.005%, way down from 0.16% before. Longs aren't paying anymore. L/S at 0.46, the crowd is now clearly short. It was 0.60 in the last reading, so the crowd has drifted further short. Top trader positions at 1.26, big money is long. A real split. Taker at 1.04, slightly buyer-leaning. The earlier "fake uptrend, longs paying" picture has flipped into "crowd short, squeeze potential." The mechanism reversed. Structure is still extremely stretched, sharp moves are likely in either direction.
$BTR update: still heavily stretched, but the crowd has flipped short.

OI at 82.4% of mcap, down from 106% earlier but still very high. OI up 503%, still far faster than price (114%).

Funding is flat at 0.005%, way down from 0.16% before. Longs aren't paying anymore.

L/S at 0.46, the crowd is now clearly short. It was 0.60 in the last reading, so the crowd has drifted further short. Top trader positions at 1.26, big money is long. A real split.

Taker at 1.04, slightly buyer-leaning.

The earlier "fake uptrend, longs paying" picture has flipped into "crowd short, squeeze potential."

The mechanism reversed. Structure is still extremely stretched, sharp moves are likely in either direction.
Bitcoin is holding above $79,000. After a huge week for crypto, traders are taking some profit and the market is cooling off. BTC: +23% this week XRP: +45% this week ETH and SOL have slipped over the past 24 hours, while HYPE is the only major token still in the green. A little profit-taking after a move like this is completely normal. The bigger picture still looks strong. Bitcoin is holding the gains. Now we see whether the market can build from here. {future}(BTCUSDT)
Bitcoin is holding above $79,000.

After a huge week for crypto, traders are taking some profit and the market is cooling off.

BTC: +23% this week
XRP: +45% this week

ETH and SOL have slipped over the past 24 hours, while HYPE is the only major token still in the green.

A little profit-taking after a move like this is completely normal.

The bigger picture still looks strong.

Bitcoin is holding the gains. Now we see whether the market can build from here.
$BTC average buy price has increased to $52,021. Price has retested and gone below pink line in every bear market, this time is looking different. Bulls are not out of the woods yet, see green arrow. {future}(BTCUSDT)
$BTC average buy price has increased to $52,021.

Price has retested and gone below pink line in every bear market, this time is looking different.

Bulls are not out of the woods yet, see green arrow.
Verified
A detail about Dusk Trade that I find more interesting than the usual RWA discussion is the range of assets it is targeting. The platform is designed around MMFs, ETFs, bonds and other tokenized financial assets, rather than building around one specific asset class. That matters because these products behave very differently. A money market fund is not the same thing as a bond, while an ETF brings another set of trading and ownership requirements. Putting them into one application means the infrastructure has to deal with different financial products without turning each one into a completely separate system. What makes @Dusk_Foundation interesting here is that Dusk Trade is being positioned as the application layer on top of DuskEVM. So the blockchain is not the product by itself. The harder part is making different regulated assets usable through the same environment while keeping the rules around them intact. I would like to see the team keep expanding this side of Dusk with more concrete examples of how these asset classes actually behave once they are live. If MMFs, bonds and ETFs can eventually sit in the same onchain market without feeling like three disconnected products, would that be a more meaningful sign of adoption for $DUSK ? #dusk @Dusk_Foundation
A detail about Dusk Trade that I find more interesting than the usual RWA discussion is the range of assets it is targeting. The platform is designed around MMFs, ETFs, bonds and other tokenized financial assets, rather than building around one specific asset class.
That matters because these products behave very differently. A money market fund is not the same thing as a bond, while an ETF brings another set of trading and ownership requirements. Putting them into one application means the infrastructure has to deal with different financial products without turning each one into a completely separate system.
What makes @Dusk interesting here is that Dusk Trade is being positioned as the application layer on top of DuskEVM. So the blockchain is not the product by itself. The harder part is making different regulated assets usable through the same environment while keeping the rules around them intact.
I would like to see the team keep expanding this side of Dusk with more concrete examples of how these asset classes actually behave once they are live. If MMFs, bonds and ETFs can eventually sit in the same onchain market without feeling like three disconnected products, would that be a more meaningful sign of adoption for $DUSK ?
#dusk @Dusk
TRAGIC: 16 years ago, 'Stone Man' formatted his hard drive and lost 9,000 Bitcoins. 🤯 BTC remain frozen there, worth $700M. Pour one out for a legend! {future}(BTCUSDT)
TRAGIC: 16 years ago, 'Stone Man' formatted his hard drive and lost 9,000 Bitcoins. 🤯

BTC remain frozen there, worth $700M.

Pour one out for a legend!
$BMT update: the squeeze potential is playing out. {future}(BMTUSDT) Funding is now at -0.39%, much deeper. L/S at 0.74, the crowd is still short and now paying a heavier cost. Price isn't dropping, up 20.55% in 24h, 16.54% over 7 days. OI is up 42.6%, not closing, shorts are still holding their ground and new ones are piling in. Top trader positions at 1.63, the opposite side of the crowd. Real split, big money is long. Taker at 1.10, buyers are aggressive. Futures at 2.9x spot, spot volume is solid ($5.90M), part of this move is real buying. How I read it The 0.041 level flagged earlier is still the reference point. The squeeze mechanism is clearer now: crowd short, funding deep, price holding, OI climbing. Shorts haven't given in yet, meaning the fuel is still sitting there. What I'm watching The approach to 0.041. Whether funding keeps getting deeper.
$BMT update: the squeeze potential is playing out.

Funding is now at -0.39%, much deeper. L/S at 0.74, the crowd is still short and now paying a heavier cost.

Price isn't dropping, up 20.55% in 24h, 16.54% over 7 days. OI is up 42.6%, not closing, shorts are still holding their ground and new ones are piling in.

Top trader positions at 1.63, the opposite side of the crowd. Real split, big money is long.

Taker at 1.10, buyers are aggressive. Futures at 2.9x spot, spot volume is solid ($5.90M), part of this move is real buying.

How I read it

The 0.041 level flagged earlier is still the reference point. The squeeze mechanism is clearer now: crowd short, funding deep, price holding, OI climbing. Shorts haven't given in yet, meaning the fuel is still sitting there.

What I'm watching

The approach to 0.041.
Whether funding keeps getting deeper.
Verified
NVIDIA EARNINGS TOMORROW COULD DECIDE WHETHER THE AI BULL MARKET CONTINUES OR NOT. Nvidia reports Q2 results tomorrow, with Wall Street expecting roughly $92 billion in revenue, almost double last year. That matters because Nvidia is the largest U.S. company and one of the biggest weights in the S&P 500. It is also one of the clearest indicators of whether the hundreds of billions being spent on AI infrastructure are actually translating into demand. Last quarter, Nvidia reported $81.6 billion in revenue, while Data Center revenue jumped 92% YoY. Tomorrow, the market will be watching revenue, margins, Rubin demand, China sales and, most importantly, guidance. At the same time, the chart shows NVDA approaching the $195–$200 support zone, with the larger bull-market support around $165–$170. A strong report and a hold of support would keep the AI trade intact, while a major breakdown could hit semiconductors and other AI-heavy stocks with it. With Nvidia now deeply tied to S&P 500 earnings and performance, this is much bigger than just one company’s earnings report.
NVIDIA EARNINGS TOMORROW COULD DECIDE WHETHER THE AI BULL MARKET CONTINUES OR NOT.

Nvidia reports Q2 results tomorrow, with Wall Street expecting roughly $92 billion in revenue, almost double last year.

That matters because Nvidia is the largest U.S. company and one of the biggest weights in the S&P 500.

It is also one of the clearest indicators of whether the hundreds of billions being spent on AI infrastructure are actually translating into demand.

Last quarter, Nvidia reported $81.6 billion in revenue, while Data Center revenue jumped 92% YoY.

Tomorrow, the market will be watching revenue, margins, Rubin demand, China sales and, most importantly, guidance.

At the same time, the chart shows NVDA approaching the $195–$200 support zone, with the larger bull-market support around $165–$170.

A strong report and a hold of support would keep the AI trade intact, while a major breakdown could hit semiconductors and other AI-heavy stocks with it.

With Nvidia now deeply tied to S&P 500 earnings and performance, this is much bigger than just one company’s earnings report.
$CYS Cold wallet activity on two separate exchanges broke a week of silence on the same day. {future}(CYSUSDT) 3.74M CYS ($2.39M) moved into Gate’s cold wallet today. That wallet had seen zero movement for a full week. At the same time Bitget’s cold wallet has climbed steadily from 3.8M to 8.5M over the past week, with the pace accelerating in recent days. Liquidation map Price sat in the 0.2-0.3 range for a long stretch, then spiked near-vertically to 1.8 around August 4 before dropping to 0.4-0.5. Now at 0.7128, sitting directly on the 0.71 cluster. Another cluster remains at 1.01 from the same spike, with a visible gap between 0.71 and 1.01. Derivatives OI 11.3% of mcap, futures 6.3x spot → healthy range. Top traders 1.43 long vs crowd 0.98 → clear split. Taker 1.05, buyers slightly aggressive. How I read it Holding above the 0.71 cluster suggests the bottom of the earlier drop has settled for now. The gap to 1.01, healthy structure, and simultaneous cold wallet activity on two exchanges make this worth watching.
$CYS Cold wallet activity on two separate exchanges broke a week of silence on the same day.

3.74M CYS ($2.39M) moved into Gate’s cold wallet today. That wallet had seen zero movement for a full week.

At the same time Bitget’s cold wallet has climbed steadily from 3.8M to 8.5M over the past week, with the pace accelerating in recent days.

Liquidation map

Price sat in the 0.2-0.3 range for a long stretch, then spiked near-vertically to 1.8 around August 4 before dropping to 0.4-0.5.
Now at 0.7128, sitting directly on the 0.71 cluster.
Another cluster remains at 1.01 from the same spike, with a visible gap between 0.71 and 1.01.

Derivatives

OI 11.3% of mcap, futures 6.3x spot → healthy range.
Top traders 1.43 long vs crowd 0.98 → clear split.
Taker 1.05, buyers slightly aggressive.

How I read it

Holding above the 0.71 cluster suggests the bottom of the earlier drop has settled for now.

The gap to 1.01, healthy structure, and simultaneous cold wallet activity on two exchanges make this worth watching.
$BTC Whales are currently positioning for a reversal around 88K. {future}(BTCUSDT) Looking at whale orders, the largest cluster of activity from large players is currently concentrated around 88K. Apparently, being a whale doesn’t automatically make you smart.
$BTC Whales are currently positioning for a reversal around 88K.

Looking at whale orders, the largest cluster of activity from large players is currently concentrated around 88K.

Apparently, being a whale doesn’t automatically make you smart.
Buy order at $0.049. Price hasn't reached there yet. Don't get misled by the futures price, this is a spot order. Funding rate is high and there's a price gap between spot and futures. This order could support the price above $0.049 but worth keeping in mind it can be cancelled. Bottom line I wouldn't recommend going in heavy on this. Futures delisting is tomorrow. Treat these kinds of tokens like lottery tickets. $STORJ {future}(STORJUSDT)
Buy order at $0.049. Price hasn't reached there yet. Don't get misled by the futures price, this is a spot order.

Funding rate is high and there's a price gap between spot and futures.

This order could support the price above $0.049 but worth keeping in mind it can be cancelled.

Bottom line I wouldn't recommend going in heavy on this. Futures delisting is tomorrow. Treat these kinds of tokens like lottery tickets. $STORJ
CryptoZeno
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Whale orders keep building at $0.049. $STORJ
Metaplanet deposited $79,770,000 in $BTC to Coinbase today. {future}(BTCUSDT) Are they planning to sell?
Metaplanet deposited $79,770,000 in $BTC to Coinbase today.

Are they planning to sell?
$ETH ETF inflow of $115,570,000🟢yesterday. BlackRock bought $90,920,000 in Ethereum. {future}(ETHUSDT)
$ETH ETF inflow of $115,570,000🟢yesterday.

BlackRock bought $90,920,000 in Ethereum.
The pattern matching the transfers from 1 month ago is very interesting. $EVAA {future}(EVAAUSDT) Onchain has been quiet since then. Hopefully volume picks up and we start talking about the liq heatmap levels.
The pattern matching the transfers from 1 month ago is very interesting. $EVAA

Onchain has been quiet since then. Hopefully volume picks up and we start talking about the liq heatmap levels.
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