TECH
Tesla in daily logHello community,
A quick analysis of Elon Musk's action.
D-Day for him with the American election.
The market has granted him 6 red candles!
Doing politics and managing companies, I wonder if it's a good idea.
American citizen at the polls, your destiny is in your hands.
Courage, the world is watching you, American First!
Make your opinion, before placing an order.
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Philadelphia Semiconductor Index (log)Hello community,
A quick update on the Sox in weekly, in log.
We are at the top of both channels, the medium term and the short term.
It would be desirable that it does not go too far out of the regression channel.
In any case, the trend has been bullish since 1995, and will be for many years to come.
Make your own opinion, before placing an order.
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$MSFT 1W Bear ABCD Ext harmonic, expecting 50% + drop in priceABCD Ext harmonic pattern is active on MSFT 1W chart. Expect price to form an hns taking sharply lower--50%+ from current levels. See also recent idea on bearish patterns on ES1/NQ1/YM1. HNS will drive to point B, and there is a smaller ABCD bear harmonic that will drive the price to C point of the higher tf ABCD Ext pattern.
#NFLX Targets for the Meltup in equitiesI have called a couple real big pattern moves on #Netflix
so on todays mega rally
I take a quick look at the potential price projections that may or may not end up occurring
I am not a guru or price forcaster
i just draw lines on charts like always
Your Risk
Your Reward
But i am someone who does highlight Risk i.e. downward prices when I feel/see that might be a possibility
Yes I know
this game is not easy.
Intel CorporationHello community.
Daily chart.
Accumulation zone plotted on the chart.
Simple moving average 200 periods oriented downwards.
Nice gap above the price.
Slight tendency to go back up, but it is timid.
End of the decline?
Make your opinion, before placing an order.
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Daily chart of the 7 MagnificentsHello,
Daily chart of the Magnificent 7 chart.
Are we heading towards a double top?
The 200-period simple moving average in orange is bullish.
On the chart, the 3 accumulation zones are indicated.
Elections are coming soon, things can change.
Make your own opinion before placing an order.
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NVIDIA weekly and logHello,
A quick look at the past.
Well, it's been going up since 2012!
A short-term trend has resumed in the long-term trend as shown by the regression line channels.
The orange line represents the 200-period simple average.
Make your own opinion, before placing an order.
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UPSIDE TARGETS for NVIDIA #NVDA ...As you can see Nvidia has already triggered a Hunt Volatility Funnel pattern #HVF
Target 1 has already been made ($134.93)
Target 2 is in progress coming in at $157.93
Target 3 is at $188.98
With the US election uncertainty almost out of the way.
WallSt can then get behind a Santa rally.
Don't be surprised if you see Nvidia get close to (buy probably not reach) $200
$188.98 gives Nvidia a $4.6T marketcap
@TheCryptoSniper
AMDHello community,
Daily chart in log.
The channel is bullish, but we are below the 200-period simple moving average.
On the chart we see the volume zones, just above the price.
I have indicated the price targets in orange on the chart
Make your opinion, before placing an order.
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Microsoft Corp Hello,
A quick look with the Adaptive Trend Finder indicator on the Microsoft stock, with a daily chart.
I have set the medium-term and short-term settings.
We can see that the price is working at the bottom of the channel, so watch it.
The medium-term trend is bullish.
Make your own opinion before placing an order.
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QQQ range boundQQQ hovering around the resistance of the core channel from 2010. Found support on the center of the black channel that is based on the COVID bubble. Price seems to generally range bound in this area between trendlines. Looks like more sideways without something big to push it one way or the other. Overall, it seems like tech has run out of FOMO. That does not mean we don't keep moving sideways and slowly up, but it does feel like any big moves to the upside are less likely.
TAO Bittensor, my revenge chart after my defeat.Project description:
Bittensor ( GETTEX:TAO ) is a decentralized machine learning protocol that incentivizes users to contribute computing power and train AI models on the blockchain. By leveraging a decentralized infrastructure, Bittensor aims to create an open, permissionless network for AI development.
Type of project:
Decentralized AI and machine learning protocol.
Is it under a block?:
Yes, Bittensor operates on its own blockchain, utilizing a decentralized network to facilitate AI model training and computation. GETTEX:TAO is used as the native token to reward participants who contribute to the network.
Latest update or news:
As of July 2024, Bittensor introduced Neuron Staking, allowing participants to stake their GETTEX:TAO tokens on AI models they believe will perform well, further aligning incentives within the network and driving improvements in model quality.
Narrative:
Decentralized AI, machine learning, blockchain infrastructure, and incentive-based computation.
Why is it a good investment?
Institutional Backers and Angel Investors:
1. Multicoin Capital:
Multicoin Capital has backed Bittensor due to its innovative approach to decentralized AI, seeing it as a key player in the future of decentralized machine learning networks.
Outlier Ventures:
Outlier Ventures, a venture capital firm known for supporting Web3 and AI projects, has invested in Bittensor, recognizing the importance of decentralized AI infrastructure.
KR1:
KR1, a European blockchain investment firm, has also supported Bittensor’s vision for open, permissionless AI model training on the blockchain, seeing it as a critical step toward decentralized AI systems.
2. Angel Investors:
Trent McConaghy (Founder of Ocean Protocol):
While not directly invested, McConaghy has expressed strong support for decentralized AI projects like Bittensor that utilize blockchain technology to democratize access to AI resources and data.
Sandeep Nailwal (Co-founder of Polygon):
Nailwal, known for supporting decentralized infrastructure projects, has voiced interest in Bittensor’s approach to incentivizing AI model training through decentralized computation, though no confirmed direct investment.
Futuristic Use Case:
Decentralized machine learning model training:
Bittensor enables the training of AI models in a decentralized manner, allowing participants to contribute computational power and data, which is crucial for building AI models that are not dependent on centralized entities.
Incentivized AI development:
Bittensor’s tokenomics incentivize participants to stake GETTEX:TAO tokens on high-performing AI models, aligning incentives across the network and driving continuous improvements in the quality of AI outputs.
AI model sharing across industries:
Industries such as healthcare, finance, and research can benefit from Bittensor’s decentralized AI models, which allow for the sharing and optimization of AI models across sectors in a transparent and permissionless way.
Secure and transparent AI computation:
By leveraging blockchain’s security and transparency, Bittensor ensures that AI models and computations are performed in a trustless environment, reducing risks associated with centralized AI model training.
Why will it make a significant amount of profits?
Unique competitive edge:
Bittensor stands out from traditional AI platforms by decentralizing the training and development of machine learning models. This creates an open and permissionless ecosystem where anyone can contribute to AI development and be rewarded, giving it a unique position in the AI market.
Growing demand for decentralized AI models:
As the AI industry grows, the need for decentralized infrastructure that allows for transparent, secure, and scalable AI model training will increase. Bittensor’s approach of incentivizing contributors with GETTEX:TAO tokens will attract more participants and developers, driving demand for the token.
Neuron Staking and incentivization model:
Bittensor’s Neuron Staking system allows participants to earn rewards by staking GETTEX:TAO on AI models they believe will succeed. This creates a sustainable revenue model while encouraging continuous innovation in AI development.
Revenue from AI model training and computation:
Bittensor generates revenue by offering decentralized AI model training and computation services. As more businesses and developers use its infrastructure for AI model optimization, the value of GETTEX:TAO tokens will increase due to the growing demand for decentralized computation.