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$75K OR $55K? WRONG QUESTION. BITCOIN PRINTS BOTH. The Wyckoff map runs a sequence: $75K first the May AR level. Then the Spring: a flush into $53K–$55K. Then markup. Everyone picks a side. The map picks an order. Invalidation: 2D close above $82.5K.

Merlijn The Trader

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61,378 Aufrufe • vor 1 Monat •via X (Twitter)

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THE BITCOIN BOTTOM HAS A PRICE AND A CALENDAR: $53K–$58K, AUGUST TO OCTOBER. Above it: three unfilled FVGs stacked at $67K, $82K and $97K the fuel for the next leg. The map says the zone prints first, then the gaps fill in order. Not played out yet. My bids at $55K and $50K are placed for exactly that. Invalidation: daily close above $68K before the zone is touched.

THE BITCOIN BOTTOM HAS A PRICE AND A CALENDAR: $53K–$58K, AUGUST TO OCTOBER. Above it: three unfilled FVGs stacked at $67K, $82K and $97K the fuel for the next leg. The map says the zone prints first, then the gaps fill in order. Not played out yet. My bids at $55K and $50K are placed for exactly that. Invalidation: daily close above $68K before the zone is touched.

Merlijn The Trader

60,168 Aufrufe • vor 1 Monat

🤯 BITCOIN MAY BE PLAYING OUT THE MOST FAMOUS BOTTOM PATTERN IN TRADING. It is called Wyckoff accumulation. The way smart money builds a position before a markup. And Bitcoin is tracking it almost step for step. The selling climax. Done. The secondary test. Done. Next comes the spring. The final flush below support that traps the last sellers. Then the markup begins. If this schematic holds, the scariest drop is the setup. The bottom is built where everyone gives up.

🤯 BITCOIN MAY BE PLAYING OUT THE MOST FAMOUS BOTTOM PATTERN IN TRADING. It is called Wyckoff accumulation. The way smart money builds a position before a markup. And Bitcoin is tracking it almost step for step. The selling climax. Done. The secondary test. Done. Next comes the spring. The final flush below support that traps the last sellers. Then the markup begins. If this schematic holds, the scariest drop is the setup. The bottom is built where everyone gives up.

Mister Crypto

273,839 Aufrufe • vor 2 Monaten

Sora 2 can make a depth map, heat map, edge map and segmentation view, simultaneously in a grid. > start with a close up view of a woman in a studio, then split into a 2x2 grid showing in each cell the depth map, heat map, edge detection and segmentation of the scene

Sora 2 can make a depth map, heat map, edge map and segmentation view, simultaneously in a grid. > start with a close up view of a woman in a studio, then split into a 2x2 grid showing in each cell the depth map, heat map, edge detection and segmentation of the scene

fofr

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🚨 BITCOIN IS TRAPPED BETWEEN MASSIVE LIQUIDITY POOLS. $81,000–$83,000 → some liquidity above $74,000–$78,000 → major liquidity below $61,000–$65,000 → the biggest pool on the map With Bitcoin sitting around $80,000, a major liquidity hunt could be coming. Which side gets swept first?

🚨 BITCOIN IS TRAPPED BETWEEN MASSIVE LIQUIDITY POOLS. $81,000–$83,000 → some liquidity above $74,000–$78,000 → major liquidity below $61,000–$65,000 → the biggest pool on the map With Bitcoin sitting around $80,000, a major liquidity hunt could be coming. Which side gets swept first?

Mister Crypto

26,254 Aufrufe • vor 13 Tagen

Today (2026-07-03) two major eruptions occurred successively. First in AR 14479 in associated with an M6.7 flare, then in AR 14478 in associated with a shorter-duration M6.7 flare. Both were accompanied by a coronal wave, which may inform the extension of the eruption.

Today (2026-07-03) two major eruptions occurred successively. First in AR 14479 in associated with an M6.7 flare, then in AR 14478 in associated with a shorter-duration M6.7 flare. Both were accompanied by a coronal wave, which may inform the extension of the eruption.

HaloCME

11,842 Aufrufe • vor 2 Monaten

📍Natham, Dindigul, Tamil Nadu: Man suddenly runs onto the road and collides with a moving bike, causing both riders to fall. One of the bike then shoots ahead and crashes into a wall in a filmy-style sequence after losing control.

📍Natham, Dindigul, Tamil Nadu: Man suddenly runs onto the road and collides with a moving bike, causing both riders to fall. One of the bike then shoots ahead and crashes into a wall in a filmy-style sequence after losing control.

Deadly Kalesh

325,854 Aufrufe • vor 5 Monaten

Watching AI "type" word by word gets kind of boring fast, and it may set the wrong expectations as in "these are facts." What else could it look like? 1. The AI choosing among millions of tokens in a blur, then sharpens as it picks a random token

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Morten Just

372,622 Aufrufe • vor 3 Jahren

The thing no one noticed: There’s a pricing lag between betting on Bitcoin and trading Bitcoin perps. That gap usually disappears once market makers close it. Until then, you can watch both markets side by side, see the dislocation in real time, and trade it. This is exactly the kind of edge most traders never even look for.

The thing no one noticed: There’s a pricing lag between betting on Bitcoin and trading Bitcoin perps. That gap usually disappears once market makers close it. Until then, you can watch both markets side by side, see the dislocation in real time, and trade it. This is exactly the kind of edge most traders never even look for.

Alex Mason 👁△

43,926 Aufrufe • vor 1 Monat

Fun & likely unintended use case for #NanoBananaPro: image→3D point cloud Prompt: This is a rendering of a 3D model of a person. Make an accurate image of the corresponding normal map. Then I run Poisson-based normals→3D Pretty amazing for a general-purpose 2D image model 🤩

Fun & likely unintended use case for #NanoBananaPro: image→3D point cloud Prompt: This is a rendering of a 3D model of a person. Make an accurate image of the corresponding normal map. Then I run Poisson-based normals→3D Pretty amazing for a general-purpose 2D image model 🤩

Keenan Crane

71,816 Aufrufe • vor 9 Monaten

I'm often asked where I'd best open my long. I point to the pattern, it's played out perfectly so far. According to the pattern, this week could start bullish and then drop toward $73k. I see Bitcoin falling toward $73k–$75k over the next two weeks. I'll start scaling in from $75k with a max of 20% to avoid getting front-run. I expect a pump to $86k once Bitcoin reaches the $73k–$75k target. My largest order will be at $67.5k. You can see the Ichimoku Cycle Engine in the video, and you'll also recognize the similar behavioral pattern from 2023. the genius behind every indicator i am using is my brother Follow him, he deserves it! bitcoin:native

I'm often asked where I'd best open my long. I point to the pattern, it's played out perfectly so far. According to the pattern, this week could start bullish and then drop toward $73k. I see Bitcoin falling toward $73k–$75k over the next two weeks. I'll start scaling in from $75k with a max of 20% to avoid getting front-run. I expect a pump to $86k once Bitcoin reaches the $73k–$75k target. My largest order will be at $67.5k. You can see the Ichimoku Cycle Engine in the video, and you'll also recognize the similar behavioral pattern from 2023. the genius behind every indicator i am using is my brother Follow him, he deserves it! bitcoin:native

XAPA

26,287 Aufrufe • vor 3 Tagen

An interesting issue with Robotaxi where it took us to a Starbucks, but the Google data had the incorrect location. At drop off we were 0.2 miles from the Starbucks, so we had a short walk. Is there a way the Tesla AI team could add functionality in the app so riders can update map info to correct errors or inaccuracies on the underlying map data and then this propagates to the fleet? Being able to do this with a pin drop on the map instead of having to use an address might make this very easy and user friendly! Or, as a bigger ask, would it be possible for the car to be able to use visual images on its own to look for a Starbucks sign and on the fly, get us closer and update the map data on its own?

An interesting issue with Robotaxi where it took us to a Starbucks, but the Google data had the incorrect location. At drop off we were 0.2 miles from the Starbucks, so we had a short walk. Is there a way the Tesla AI team could add functionality in the app so riders can update map info to correct errors or inaccuracies on the underlying map data and then this propagates to the fleet? Being able to do this with a pin drop on the map instead of having to use an address might make this very easy and user friendly! Or, as a bigger ask, would it be possible for the car to be able to use visual images on its own to look for a Starbucks sign and on the fly, get us closer and update the map data on its own?

Joe Tegtmeyer 🚀 🤠🛸😎

80,363 Aufrufe • vor 1 Jahr

#Breaking #NYC The helicopter involved is Reg: N216MH A Bell 206L-4 LongRanger IV. The first video clip is the helicopters route/ends where it went down. Video 2 you can see possibly the rotor/pieces splashing into the water on the left side and then a bigger splash above it.

#Breaking #NYC The helicopter involved is Reg: N216MH A Bell 206L-4 LongRanger IV. The first video clip is the helicopters route/ends where it went down. Video 2 you can see possibly the rotor/pieces splashing into the water on the left side and then a bigger splash above it.

SLCScanner

25,739 Aufrufe • vor 1 Jahr

Just in time! Prompt : Ultra-wide aerial begins miles above snowy peaks, then plunges into a fast dive toward a train entering a mountain pass. An avalanche breaks loose and pours down behind the train, filling the valley with a moving white wall. Camera skims along the ridgeline parallel to the tracks, then swings into a wide arc that keeps both the train and avalanche visible as the train races toward a tunnel. End with a rapid climb revealing the avalanche swallowing the pass behind the tunnel mouth.

Just in time! Prompt : Ultra-wide aerial begins miles above snowy peaks, then plunges into a fast dive toward a train entering a mountain pass. An avalanche breaks loose and pours down behind the train, filling the valley with a moving white wall. Camera skims along the ridgeline parallel to the tracks, then swings into a wide arc that keeps both the train and avalanche visible as the train races toward a tunnel. End with a rapid climb revealing the avalanche swallowing the pass behind the tunnel mouth.

Umesh

13,884 Aufrufe • vor 7 Monaten

EVERYONE SEES A BREAKOUT I SEE THE SETUP FOR A MASSIVE SHORT The move loading right now isn't what the crowd thinks it is Phase 1 → grind into $69K-$70K, longs get trapped at the top Phase 2 → structure breaks, flush to $58K then $47K begins The bigger the bounce, the harder the drop that follows Turn notifications on - every level gets called before it moves

EVERYONE SEES A BREAKOUT I SEE THE SETUP FOR A MASSIVE SHORT The move loading right now isn't what the crowd thinks it is Phase 1 → grind into $69K-$70K, longs get trapped at the top Phase 2 → structure breaks, flush to $58K then $47K begins The bigger the bounce, the harder the drop that follows Turn notifications on - every level gets called before it moves

ardizor 🧙‍♂️

64,230 Aufrufe • vor 1 Monat

🚨 ONE BITCOIN LEVEL DECIDES EVERYTHING Bitcoin is now sitting directly below the 50-week MA. Last cycle, every retest of this line ended the same way: Rejection. Then an impulse move of roughly 20%. If that happens again, Bitcoin falls straight toward $65,000. But there is one way this setup gets destroyed. Bitcoin must break $84,000 and hold above it on the weekly chart. Most take-profit orders are clustered at that exact boundary. A quick wick above it means nothing. A weekly close and a successful hold would absorb those orders and confirm the reversal. The next move is binary: Rejected below $84,000 → $65,000 Break and hold above $84,000 → reversal confirmed The next weekly close decides who gets trapped. Follow and turn notifications on before the confirmation.

🚨 ONE BITCOIN LEVEL DECIDES EVERYTHING Bitcoin is now sitting directly below the 50-week MA. Last cycle, every retest of this line ended the same way: Rejection. Then an impulse move of roughly 20%. If that happens again, Bitcoin falls straight toward $65,000. But there is one way this setup gets destroyed. Bitcoin must break $84,000 and hold above it on the weekly chart. Most take-profit orders are clustered at that exact boundary. A quick wick above it means nothing. A weekly close and a successful hold would absorb those orders and confirm the reversal. The next move is binary: Rejected below $84,000 → $65,000 Break and hold above $84,000 → reversal confirmed The next weekly close decides who gets trapped. Follow and turn notifications on before the confirmation.

Nonzee

58,110 Aufrufe • vor 12 Tagen

I havent seen anyone post about it but one thing that stood out to me the most from the MW4 briefing is how sick the Tactical Nuke animation is. Tactical Nuke is back but the animation is completely different. You call it in a small phone and then a buckle into a skyhook a plane grabs right before the nuke drops and you look back at the map getting nuked. You also flip the map off as you fly away Its one of the sickest things I saw. The video below is an example from MW3 of what i mean.

I havent seen anyone post about it but one thing that stood out to me the most from the MW4 briefing is how sick the Tactical Nuke animation is. Tactical Nuke is back but the animation is completely different. You call it in a small phone and then a buckle into a skyhook a plane grabs right before the nuke drops and you look back at the map getting nuked. You also flip the map off as you fly away Its one of the sickest things I saw. The video below is an example from MW3 of what i mean.

Tridzo

414,833 Aufrufe • vor 3 Monaten

THE ETHEREUM SHAKEOUT ALREADY HAPPENED. MOST PEOPLE SOLD INTO IT. Four months of accumulation between $1,745 and $2,500. Then June broke it down to $1,520, the manipulation leg that clears out everyone who bought the range. Price is back above it at $1,860. That's the expansion phase starting, not another breakdown. I still expect one more dip toward the range low first. That's the retest, not the reversal. After that, it's go time. A weekly close below $1,550 and I'm wrong.

THE ETHEREUM SHAKEOUT ALREADY HAPPENED. MOST PEOPLE SOLD INTO IT. Four months of accumulation between $1,745 and $2,500. Then June broke it down to $1,520, the manipulation leg that clears out everyone who bought the range. Price is back above it at $1,860. That's the expansion phase starting, not another breakdown. I still expect one more dip toward the range low first. That's the retest, not the reversal. After that, it's go time. A weekly close below $1,550 and I'm wrong.

Merlijn The Trader

73,914 Aufrufe • vor 1 Monat

TRENDING: #NFL fans are speculating that #Chiefs quarterback Patrick Mahomes may have suffered a head injury in the first quarter. Mahomes head was violently slammed into the ground. Pat has then had the worst game of career… could be an explanation why

TRENDING: #NFL fans are speculating that #Chiefs quarterback Patrick Mahomes may have suffered a head injury in the first quarter. Mahomes head was violently slammed into the ground. Pat has then had the worst game of career… could be an explanation why

MLFootball

9,175,853 Aufrufe • vor 1 Jahr

THE DEPTH MAP TRICK THAT FIXED DANCE ACCURACY IN SEEDANCE 2.0 Feed the model a video of someone dancing and it tries to interpret everything- the person, the clothes, the lighting, the room, and somewhere in there, the movement. Feed it a depth map and there's nothing left to interpret but the motion. Most creators trying to transfer a dance to a character reference the source footage directly, then wonder why the choreography drifts. The problem isn't the model - it's that you handed it ten variables when you only wanted one. Here's the workflow 1. Lock the character reference in GPT Image 2 first -face, build, costume, so identity holds independently of whatever motion gets applied to it 2. Convert the source dance footage into a depth map instead of using the raw video -this strips out the original performer's appearance, clothing, and environment entirely 3. Feed the depth map as the motion reference and the character sheet as the identity reference- two separate inputs doing two separate jobs, not one input trying to do both 5. Let the depth map carry only spatial movement -the model receives body position and momentum with no competing information about who's moving or what they look like 6. Keep the character and motion inputs isolated throughout - the moment you mix appearance data into the motion reference, the model starts negotiating between two identities Why this works • Raw footage passes the model everything at once- performer, wardrobe, room, lighting -and the choreography competes with all of it for attention • A depth map is pure spatial information, so the only thing left to transfer is movement • Separating identity from motion means the character can stay locked while the dance stays accurate - normally you're trading one for the other • The accuracy gain isn't the model getting better, it's the model getting fewer decisions to make Use cases: ⁃ Dance and choreography transfer onto original characters ⁃ Motion capture-style workflows without motion capture ⁃ Any sequence where a specific movement needs to survive intact ⁃ Character showcase content built on existing performance footage The character sheet answers who's dancing. The depth map answers how - and keeping those two questions separate is the whole trick.

THE DEPTH MAP TRICK THAT FIXED DANCE ACCURACY IN SEEDANCE 2.0 Feed the model a video of someone dancing and it tries to interpret everything- the person, the clothes, the lighting, the room, and somewhere in there, the movement. Feed it a depth map and there's nothing left to interpret but the motion. Most creators trying to transfer a dance to a character reference the source footage directly, then wonder why the choreography drifts. The problem isn't the model - it's that you handed it ten variables when you only wanted one. Here's the workflow 1. Lock the character reference in GPT Image 2 first -face, build, costume, so identity holds independently of whatever motion gets applied to it 2. Convert the source dance footage into a depth map instead of using the raw video -this strips out the original performer's appearance, clothing, and environment entirely 3. Feed the depth map as the motion reference and the character sheet as the identity reference- two separate inputs doing two separate jobs, not one input trying to do both 5. Let the depth map carry only spatial movement -the model receives body position and momentum with no competing information about who's moving or what they look like 6. Keep the character and motion inputs isolated throughout - the moment you mix appearance data into the motion reference, the model starts negotiating between two identities Why this works • Raw footage passes the model everything at once- performer, wardrobe, room, lighting -and the choreography competes with all of it for attention • A depth map is pure spatial information, so the only thing left to transfer is movement • Separating identity from motion means the character can stay locked while the dance stays accurate - normally you're trading one for the other • The accuracy gain isn't the model getting better, it's the model getting fewer decisions to make Use cases: ⁃ Dance and choreography transfer onto original characters ⁃ Motion capture-style workflows without motion capture ⁃ Any sequence where a specific movement needs to survive intact ⁃ Character showcase content built on existing performance footage The character sheet answers who's dancing. The depth map answers how - and keeping those two questions separate is the whole trick.

Nexlow

116,680 Aufrufe • vor 9 Tagen