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TheWaveCount
1.2K posts

TheWaveCount
@TheWaveCount
Elliott Wave Analysis 📈 Multi timeframe counts & scenarios Objective market analysis
เข้าร่วม Aralık 2025
442 กำลังติดตาม1.3K ผู้ติดตาม

@JD14Nash Good job, but the move between February 5th and today overlaps and is corrective, therefore I continue to assume a correction.
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@TheWaveCount That was my read as well. Looked like it still needed that C move but started taking off. I have a sizable position purchased at $5.50 and just trying to monitor what to expect. Thanks for your time!
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@Florian_0707 At a strong reaction, with just a small position.
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$ONDS
Difficult wave count
Current expectation: wave (X) developing in $11.80 – $13.79
Primary scenario then targets next major zone: $7.80 – $3.52
Multiple valid counts possible → high risk / high uncertainty
No financial advice.
#ONDS #ElliottWave

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$LLY update
HTF analysis by request.
Fundamentals are strong, revenue, EPS and net income all trending up significantly.
Expecting a move into $1,236 – $1,614 to complete higher degree wave 1, followed by a larger correction.
Short-term, holding above $914 is key.
Alternative [5] and I remain on the chart, high could already be in.
No financial advice.


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$EOSE
New count, same expectation
Wave (W) likely topped around $20, with price now in a wave (X) that should be nearing completion
Our key zone at $6.66 – $4.97 remains relevant, with a possible slight move below
No financial advice.
#ElliottWave #EOSE

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@BP_Investments_ 😂😂 I think some people see more on the chart than I do...
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@TheWaveCount Finally someone who doesn't just count everything as a five-wave impulsive move!
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@TheWaveCount Hello, I'm a big fan of you.
Could you mind make Chart Analysis about $LLY?
It looks like down stream now, but I'm waiting for a big news on April 10th (FDA)
So, It has a big potential to earn money
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@stoicxtrades Yes $COIN is very interesting, why don’t you counting it?
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@TheWaveCount I'm not counting $COIN, but this is interesting.
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@markgadala Pokémon Go players unknowingly built one of the largest visual AI datasets in history. Facebook users built the largest social graph. What are you building for free right now?
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This is wild.
143 million people thought they were catching Pokémon. They were actually building one of the largest real-world visual datasets in AI history.
Niantic just disclosed that photos and AR scans collected through Pokémon Go have produced a dataset of over 30 billion real-world images. The company is now using that data to power visual navigation AI for delivery robots.
Players didn't just walk around with their phones. They scanned landmarks, storefronts, parks, and sidewalks from every angle, at every time of day, in lighting and weather conditions that staged photography would never capture. They documented the physical world at a scale no mapping company with a fleet of vehicles could have replicated on the same timeline or budget.
Niantic collected this systematically, data point by data point, across eight years, while users thought the only thing at stake was catching a rare Charizard.
The most valuable AI training datasets in the world aren't being assembled in data centers. They're being built by people who have no idea they're building them.
NewsForce@Newsforce
POKÉMON GO PLAYERS TRAINED 30 BILLION IMAGE AI MAP Niantic says photos and scans collected through Pokémon Go and its AR apps have produced a massive dataset of more than 30 billion real-world images. The company is now using that data to power visual navigation for delivery robots, letting them identify exact locations on city streets without relying on GPS. Source: NewsForce
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@unusual_whales London Metal Exchange just froze. 2022 nickel squeeze flashback anyone?
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