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Aitech

COMMUNE AI or COMai: Collaborative Artificial IntelligenceProject description: COMMUNE AI is a decentralized platform focused on collaborative artificial intelligence, allowing users and developers to create, share, and improve AI models through decentralized data sharing and community-driven AI model optimization, all powered by blockchain. Type of project: Decentralized AI collaboration and data sharing platform. Is it under a block?: Yes, COMMUNE AI operates on Ethereum and compatible blockchains, utilizing smart contracts to enable decentralized collaboration on AI models, data sharing, and token-based incentives for contributions. Latest update or news: As of July 2024, COMMUNE AI launched its AI Model Repository, where users can collaborate on improving AI models in a decentralized manner and earn $COMai tokens for their contributions, driving community engagement and development. Narrative: Decentralized AI, collaborative machine learning, community-driven AI, and blockchain-powered AI infrastructure. Why is it a good investment? Institutional Backers and Angel Investors: Outlier Ventures: Outlier Ventures has backed COMMUNE AI, recognizing its potential to reshape how AI models are built, shared, and optimized by leveraging decentralized collaboration and blockchain technology. Animoca Brands: Animoca Brands, a leader in blockchain gaming and decentralized ecosystems, has invested in COMMUNE AI due to its focus on creating open, collaborative AI infrastructure. Framework Ventures: Framework Ventures has supported COMMUNE AI, seeing the opportunity to develop a decentralized AI ecosystem where users and developers can collaborate on AI solutions in a transparent, incentivized environment. Angel Investors: Ben Goertzel (Founder of SingularityNET): Goertzel, known for his advocacy for decentralized AI, has shown interest in COMMUNE AI’s mission to enable community-driven AI model optimization, though there is no confirmed direct investment. Trent McConaghy (Founder of Ocean Protocol): McConaghy has expressed support for projects that focus on decentralized data sharing and AI collaboration, aligning with COMMUNE AI’s goals of democratizing AI development through blockchain. Futuristic Use Case: Collaborative AI model optimization: COMMUNE AI enables users and developers to work together on optimizing AI models, allowing for continuous improvements through decentralized collaboration and rewarding contributors with $COMai tokens. Decentralized data sharing for AI training: COMMUNE AI’s platform allows users to securely share data for AI model training, ensuring privacy and transparency while improving the quality of AI models. This decentralized approach encourages more participants to contribute valuable data. AI model repository for developers: The AI Model Repository provides developers with access to a wide range of community-driven AI models that can be integrated into various applications, including decentralized finance (DeFi), gaming, and healthcare. Incentive-driven AI research: COMMUNE AI incentivizes AI researchers and developers to contribute to the platform by rewarding them with $COMai tokens, creating a sustainable ecosystem for ongoing AI research and development. Why will it make a significant amount of profits? Unique competitive edge: COMMUNE AI stands out by creating a decentralized, community-driven AI platform that encourages collaboration and knowledge sharing, providing a more open and democratic alternative to centralized AI development environments. Growing demand for decentralized AI solutions: As the need for secure, scalable, and community-driven AI solutions increases, COMMUNE AI’s platform will attract more developers, researchers, and contributors, driving the demand for $COMai tokens. Revenue from collaborative AI services: COMMUNE AI generates revenue by providing access to its decentralized AI model repository and data-sharing services. As more developers and enterprises use the platform, the demand for $COMai tokens will rise, ensuring a sustainable revenue model. Long-term potential in AI and blockchain convergence: As AI continues to play a critical role in industries such as healthcare, finance, and autonomous technology, COMMUNE AI’s decentralized platform is well-positioned to be a leader in the convergence of AI and blockchain, driving long-term value for $COMai token holders.
Long
by osodatsismoso
1
Solidus Ai Tech (AITECH)AITECH is a deflationary artificial intelligence token for the Solidus, which is a state-of-the-art High-Performance Computing (HPC) Data Centre spanning over 8,000 square feet. AITECH token will serve as a payment gateway for licensing Artificial Intelligence as a Service, Blockchain as a Service, and accessing HPC resources via their Infrastructure as a Service platform. Anyway, the project is still young but seems to have potential. Anyway, technical wise, it seems AITECH is oscillating in a somewhat wide descending triangle pattern. Let's see if AITECH can reach the upper line and break it.
Long
by SaeedSalehinia
18
#Aitech is about %4000$Aitech 1D; As of its out of August 2023, it has managed to show a total bullish performance of 4000%. Although it had its share of the downward trend of the market in March, we can see that its decline has finally come to an end. Although it managed to make the downtrend breakout upwards, the only obstacle in front of it is the day's close above the $0.09622 level. It will then start an uptrend. For those who think short-term, OB levels can be considered for profit-taking. However, it is obvious that in the long run, it may test the Ath level again. #Aitech #AI #Solidus
Long
by ugurtash
AITECH Long Position (EMA Breakout)Market Context: AITECH is coiling between the 21- and 200-day EMAs, showing bullish momentum with higher lows. A dip into the $0.09 zone could offer an ideal entry, particularly if the daily close shows a wick, indicating buying interest. A break and close above the 200-day EMA would confirm upward momentum. Trade Setup: Entry: Look for confirmation of a break and close above the 200-day EMA. Take Profit: First target: $0.166 Second target: $0.21 Third target: $0.28 Stop Loss: Daily close below $0.07. This setup capitalizes on the bullish coiling pattern and potential breakout. #AITECH #Crypto #EMA
Long
by Richtv_official
A new spurt of phantokensAgainst the background of the stable growth of chz since the network was updated with a 0.15, partnership with Grintafy and K-League, we can expect a new period of flourishing of the fantokens. Most of them have already given impulses, but these are only traces of the first long-term investments. Further, the probability of swinging and maintaining the trend is high. So far, asr and atm remain the most oversold, which have pressed close to the 3.5 level, opening the way to the 5-7.5 range. Asr has already shown a breakdown of this level, which gives support for purchases. In the future, the struggle for the opening level of the new month will unfold. At a minimum, we should expect a test 5 with an attempt to open a new month above the level. With sufficient volatility, there is a chance of a breakdown immediately to the medium-term target of 9-11. ATM has similar goals.
Long
by Strateg_
Analyzing the Potential of #AITECH: Riding the Surge! It seems like you're discussing a specific stock or investment opportunity related to #AITECH, which has experienced a significant surge of 80% in a single day. Your statement suggests that this could be a moment you've been anticipating, potentially indicating that the stock has caught your attention. Your strategy, as mentioned, is to accumulate the stock on every dip. This means that when the stock price experiences a temporary decrease or correction, you are taking advantage of the lower prices to increase your position in the stock. This approach is based on the belief that the overall trend of the stock is positive and that buying during dips could lead to potential profits when the price rises again. You highlight the relatively small market capitalization of $18 million for #AITECH, which could be seen as an opportunity for growth, especially in challenging market conditions. Smaller market cap stocks often have the potential for higher volatility and greater price movements. The phrase "DYOR" stands for "Do Your Own Research," emphasizing the importance of conducting thorough research before making any investment decisions. It's a reminder for investors to understand the fundamentals, risks, and potential rewards associated with a particular investment. "NFA" typically stands for "No Financial Advice," indicating that the information provided is not intended as professional financial advice and that individuals should make their own decisions based on their research and understanding of the market. In summary, your message suggests that you find #AITECH promising, considering its recent surge, small market cap, and the current market conditions. However, it's essential for anyone considering an investment to conduct their own research and be aware of the associated risks.
Long
by CRYPTOMOJO_TA
How AI will revolutionise the trading world – 14 WaysThe era of AI has unleashed in almost every aspect of our lives. And I believe that there will soon be a seismic shift in financial trading with AI. I feel it’s my duty to share some of the ways, we will incorporate, adapt and integrate AI into trading. To explain in simple terms… AI is a concept to teach machines, robots and computers how to perform human actions. And trading is just another element that AI will apply to. Let’s start… #1: AI Trading Bots We’ve had EA (Expert Advisors), chat bots and machine learning when it comes to trading. As AI adapts more into the financial world, they will be able to signal, alert and even optimise our trading strategies, risk management and financial profile. #2: AI will alert more markets into our watch lists Not all markets work with our trading strategies. Right now we have to manually search for different markets to back, forward and real test. Once AI adapts to our trading strategy, it will be able to pinpoint the most efficient and effective markets to include into our trading arsenal. #3: Real-time risk management AI’s rapid data processing will be able to identify our risk profile. In the near future, it will be able to identify not only trading setups, but also the volume we’ll need to buy or sell to enter or exit a trade. It will alert us when trades are ready to go and will ask us whether we want to go ahead and action the high probability trades (according to our risk management. #4: Algorithmic automatic trading Once we lay out the parameters of what we want our AI trading bots to do, they will be your employee. They’ll be able to take action while you’re away such as: Layout the chart setups Plug in the trading levels (entry, stop loss and take profits) Execute trades on our behalf They will work for us, which will limit our time staring at screens. #5: Sentiment Analysis: Read the market’s mood This tool will help us identify who’s dominant in the markets. Are the bulls or bears stronger. It will then give us a gauge meter to tell us whether demand or supply is higher. And this will help us make calculated decisions, based on our own trading analyses. #6. Freeing humans from the grind When AI takes over our trading, it will do all of the mundane tasks for us. It’ll focus on: What markets work best with the system Which markets to remove from the watch list and whether we are in favourable or unfavourable terrorist according to our system This will free traders from spending hours behind a screen on the daily. #7: Automation: Back and forward testing When AI learns a system with the right parameters and criteria, it will be able to backtest for us. It’ll be able to go through hundreds of trades in the past and will provide a full review of the stats and measures. It’ll tell us the: trades of winners and losers Win and loss rate Average winner and loser per trades Costs, risks and losses Accumulation of profit and losses and more… #8. Pre-emptive fraud detectors AI doesn’t just detect fraud—it sniffs out all the unregulated and fraudulent type companies, brokers, market makers. It also analyses the markets micro and macro analyses to see which companies are doing well, cooking the books and / or are red flags to buy or sell. Its predictive capabilities will be able to save millions of traders from falling into financial trading traps and scams. #9: Customizable AI trading assistants Also, I bet we will see companies create their own trading assistants. Similar to Siri, Alexa and Google. You will have your own finance-savvy cousin ready to act on your trading needs. Whether you want to trade, find setups, talk about tested systems, create new strategies, learn real time info about markets and instruments. You’ll have your own AI trading assistant just call away. #10: The rise of quantitative trading Quant trading will soar to new heights. AI will be able to crunch numbers and optimise strategies with high speed and precision. This will make sense of complex financial models at lightning speed. #11: Real-Time chart pattern identification Eventually, AI will adapt machine and deep learning into charts. We will finally see the day where market patterns, trends are identified on any time frame. As they learn the bends, turns, vectors and consistency with the charts through predictive analysis from historical market data… AI will adapt and learn to plot more accurate, recurring chart patterns and use them to predict future price movements on any market. And AI will be able to scan hundreds of charts simultaneously and highlight significant patterns as they emerge. This will present high, medium and low probability setups for our trading. #12: Past chart patterns predictive analyses Not only will it identify real-time chart patterns. It will also spot historical price patterns and insights that took place in the past. This will help us to back test the systems and how they worked on particular markets. AI will be able to identify the chart patterns that have proven to be most successful for that particular trader. #13: Personalized and customised trading strategies What if you have a new chart pattern you’d like to adapt into your analysis? Well I’m sure AI will have the ability to learn, recognise and incorporate your chart patterns into the system. This way you can personalise what chart patterns, candlestick patterns or strategies you would like customised to your style. This means that each trader can have a unique set of chart patterns to look for, tailored to their trading style and risk tolerance. This personalized approach can potentially enhance your trading performance and your profitability. #14: Integration with other data sources This will most likely be open-ended. It’ll work via the network where AI will improve chart pattern recognition in financial trading by integrating with other data sources. Imagine AI learns from millions of traders, millions of strategies, systems and new inputs. I can only imagine that traditional manual chart pattern systems will be a thing of the past. With the new set of systems, formation, price and volume data – we will see integration of brand new forms of analyses and strategies. And this will bring a new era of financial trading. Final Words and summary! It’s all exciting and frightening at the same time. Because with AI integration, we will see yet another shift in the algorithms and it’ll bring a new future for trading. Only those who learn to adapt and evolve – will make it… Let’s sum up all the AI elements that will we mentioned here. #1: AI Trading Bots #2: AI will alert more markets into our watch lists #3: Real-time risk management #4: Algorithmic automatic trading #5: Sentiment Analysis: Read the market’s mood #6. Freeing humans from the grind #7: Automation: Back and forward testing #8. Pre-emptive fraud detectors #9: Customizable AI trading assistants #10: The rise of quantitative trading #11: Real-Time chart pattern identification #12: Past chart patterns predictive analyses #13: Personalized and customised trading strategies #14: Integration with other data sources
TVC:SA40Education
by Timonrosso