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The 20 Trading Lessons from Top Traders I have read a lot of trading books since the time I started trading my own account and the one book that really helps me out and “I wish I’ve read this one first” – is Market Wizards Interview with Top Traders by Jack D. Schwager. Here’s the list that struck me most that I’d like to share: “Early trading failure is a sign that you are doing something wrong; it is not necessarily a good predictor of ultimate potential failure or success.” – Michael Marcus “If you don’t stay with your winners, you are not going to be able to pay for the losers.” – Michael Marcus “Liquidating positions is the way to achieve mental clarity when one is losing money and confused regarding market decisions.” – Michael Marcus “Being a successful trader also takes courage: the courage to try, the courage to fail, the courage to succeed, and the courage to keep going when the going keeps tough.” – Michael Marcus “Place your stops at a point that, if reached, will reasonably indicate that the trade is wrong, not at a point determined primarily by the maximum dollar amount you are willing to lose per contract. If the meaningful stop point implies an uncomfortably large loss per contract, trade a smaller number of contracts.” – Bruce Kovner “The times when you least want to think about trading – the losing periods – are precisely the times when you need to focus most on trading.” – Richard Dennis “Everybody gets what they want out of the market.” – Ed Seykota “It is a happy circumstance that when nature gives us true burning desires, it also gives us the means to satisfy them.” – Ed Seykota “Frankly, I don’t see markets; I see risks, rewards and money.” – Larry HIte “ I have two basic rules about winning in trading as well as in life: 1. If you don’t bet, you can’t win. 2. If you lose all your chips, you can’t bet” – Larry Hite “In my judgment, all traders are seekers of truth.” – Michael Steinhardt “The more disciplined you can get, the better you are going to do in the market. The more you listen to tips and rumors, the more money you’re likely to lose.” – David Ryan “When the market gets good news and goes down, it means the market is very weak; when it gets bad news and goes up, it means the market is healthy.” – Marty Schwartz “Learn to take losses. The most important thing in making money is not letting your losses get out of hand. Also, don’t increase your position size until you have doubled or tripled your capital. Most people make the mistake of increasing their bets as soon as they start making money. That is a quick way to get wiped out.” – Marty Schwartz “The best traders are the most humble.” – Mark Weinstein “You have to learn how to lose; it is more important than learning how to win.” – Mark Weinstein “Most traders who fail have large egos and can’t admit that they are wrong. Even those who are willing to admit that they are wrong early in their career can’t admit it later on. Also, some traders fail because they are too worried about losing.” – Brian Gelber “You are never really confident in this business, because you can always be wiped out pretty quickly. The way I trade is: Live by the sword, die by the sword. There is always the potential that I could get caught with the big position in a fluke move with the market going the limit against me. On the other hand, there is no doubt in my mind that I could walk into any market in the world and make money.” – Tom Baldwin “Clear thinking, ability to stay focused, and extreme discipline. Discipline is number one: Take a theory and stick with it. But you have to be open-minded enough to switch tracks if you feel that your theory has been proven wrong. You have to be able to say, my method worked for this type of market, but we are not in that type of market anymore.” – Tony Saliba “ How do you judge success? I don’t know. All I know is that all the money in the world isn’t the answer.” Tony Saliba There’s still a lot of golden information that I want to write in here – for ourselves and for everyday reading so as to keep us aligned with our trading goal, but I prefer to encourage you to read the book.
NASDAQ:QQQEducation
by blue039
2
Identifying Key Support and Resistance Levels: Beginner’s GuideWelcome to the market’s game of zig-zag. On the one side, we’ve got the bulls pulling prices up (doing the zigging), and on the other, the bears dragging them down (doing the zagging). Somewhere in there lies a delicate balance—where prices pause, reverse, or break through. These are support and resistance levels, and if you want to play in the big league and run shoulders with big sho(r)ts, you need to know how to spot them. Let’s dive in. Support and Resistance: The Basics Imagine the market as a ping-pong ball bouncing between two invisible walls. These invisible walls are called support and resistance . The floor is support—where buyers step in to catch the fall. The ceiling? That’s resistance, where sellers say, “Not so fast,” and push the price back down. Your job? Figure out where these walls are and use them to your advantage. Support is the price level where a downtrend could pause due to strong enough demand, or buying momentum. Think of it as a safety net—a level where the price stops its freefall, cushioned by determined buyers. Resistance is the opposite. It’s the price level where an uptrend might stall because sellers step in, seeing the price as overbought. It’s the market’s ceiling, and breaking through it can be tough. How to Spot Support and Resistance Here’s the good news: spotting these levels is easier than you think. Start by zooming out on your chart and identifying where price reversals have occurred. Where has the market consistently bounced up from? That’s your support. Where has it been smacked down? That’s your resistance. That’s also when everyone becomes a chartist and technical analyst—draw horizontal lines at these levels. And boom, you’ve just identified key support and resistance zones. But there’s more to it than just connecting the dots. Horizontal Levels: The Classics The classic way to identify support and resistance is to look for horizontal levels. These are price levels where the market has historically reversed multiple times. If the price has bounced off $50 three times, you’ve got yourself a solid support level. Likewise, if $75 has been a brick wall for the price, it’s a clear resistance level. Trendlines: The Dynamic Duo Horizontal lines are great, but what if the market’s trending? That’s where trendlines come in. Draw a line connecting the higher lows in an uptrend or the lower highs in a downtrend. These lines can act as moving support or resistance levels. They’re not just lines—they’re the market’s roadmap. Want to get things even more heated up? Look for channels by identifying the higher lows in the uptrend coupled with the higher highs. Apply the same but in reverse for downtrending markets—lower highs and lower lows is what makes up a channel. The Role of Volume Here’s where it gets a little spicy. You have to add volume in the mix. When you see a support or resistance level holding up with high volume, it’s like getting a thumbs-up from the market. If the price breaks through a level with high volume, it’s more likely to keep moving in that direction. Low volume? Don’t get too excited—it could be a fake-out. Psychological Levels: The Round Numbers Game Ever noticed how prices tend to stall at round numbers? That’s no accident. Humans love round numbers and the market is no different. Levels like $100, $1,000, or even $100,000 (did someone say Bitcoin BTC/USD ?) often act as psychological support or resistance. It’s not science—it’s market psychology. How to Trade Support and Resistance Now that you know where the walls are, or inflection points, let’s talk strategy. Trading support and resistance isn’t about guessing where the market will go—it’s about stacking the odds in your favor. Buying at Support (DYOR, tho) : When the price pulls back to a support level, it’s a prime buying opportunity. Just remember, you’re not the only one watching this level—fellow retail traders, professional money spinners and lots of algorithms are trained to chase trends. Use additional confirmation, like a bunch of indicators stacked together , before you pull the trigger. Selling at Resistance (DYOR, tho) : If the price rallies to a known resistance level, it’s time to think about selling. Again, wait for some confirmation—a rejection, bearish pattern, or a volume spike—to avoid getting caught in a breakout. Breakout Trades (DYOR, tho) : If a price breaks through support or resistance with conviction (read: strong volume), it often leads to significant moves. You can trade these breakouts, but be cautious of false breakouts. Nobody likes getting trapped. Final Thoughts Support and resistance levels are like the market’s heartbeat. They reveal where the big players are making their moves and where the action is likely to heat up. Whether you’re looking to jump in or bail out, these levels are your go-to guide. So, the next time you’re analyzing a chart, remember—those lines aren’t just random. They’re the market’s battle lines, and now, you’ve got the intel to trade them. Let’s wrap this up with some inspiration from legendary trend follower Paul Tudor Jones: “I believe the very best money is made at the market turns. Everyone says you get killed trying to pick tops and bottoms and you make all your money by playing the trend in the middle. Well for twelve years I have been missing the meat in the middle but I have made a lot of money at tops and bottoms.” Do you trade with support and resistance levels? Let us know your thoughts in the comment section!
Editors' picks
Education
by TradingView
5
Crowdstrike May Signal Stock Market Top But Crypto Trump Pump!Traders, I tried very hard to upload a video to the TV platform today but was unsuccessful. It may be that TV is also affected in some ways by the Crowdstrike update, I don't know? Needless to say, my video will not be shown here and due to house rules I am unable to say where you might find it or if it is even available. So, in keeping with those rules, I will only give the written preview of what the video will be when/if I can eventually upload to Tradingview. Sorry for the inconvenience. Here is my prelude to the video that I made for this post. ----- To help us understand the broad, over-arching view and where our economy may be headed, both in the U.S. and abroad, we must sometimes tackle some subject matter that appears to be political on the surface and makes some people rather uncomfortable. But if we are going to be accurate traders, then we also need to be honest. Being honest involves setting aside our political dogma and preferences and viewing current events with as little bias as possible. Removing bias involves removing emotion. Let's attempt to do that today as I dive in with a closer inspection of the Crowdstrike-caused Microsoft BSoD outage and discuss Trump's recent assassination attempt. We are going to cover how each of these recent events has impacted the stock market and our crypto space. If this subject matter makes you uncomfortable, you may want to skip this video. I'm cutting straight to the chase here and I'll explain why it matters. You see, I learned the hard way a long time ago that if you want to make money in this market then you have to understand what the world rulers are up to and what their end game might be. It's often uncomfortable to explore motives here because they appear to be so uncompassionate, calloused, and uncaring, but we must put them on the table as options at least if we are going to determine market direction and become the best traders that we can be. Following the money and potential motives of the deep state(s) can help us win. This is what we'll do a bit of in today's video. Enjoy.
NASDAQ:CRWDShort
by stewdamus
1
World's Top Companies: Who’s in the Exclusive $1T Club & Beyond?But wait, it gets even more exclusive than a mere $1 trillion! There’s a $2 trillion club with just a single player and a super-duper hyper-elite ultra club of $3 trillion. Can you name the participants? Being part of the world’s biggest companies isn’t easy. It may look easy — these corporate giants gain billions of dollars in market cap before you make your morning cup of coffee (especially if you’re drowsy after a late-night options trading action). In this Idea, we look at the dynamic docket of the world's most expensive companies, neatly stacked up in the TradingView Top companies list . The world has never seen so much money concentrated in a few select companies. Fun fact: all of them had humble beginnings like starting out of a garage and trying to get clients through cold calling — but ended up changing the world with things like the iPhone. Today, a total of seven companies are worth $1 trillion or more each and three of them boast a valuation of over $3 trillion each. Can you guess the common theme across all? It starts with “A” and ends with “I”. Artificial intelligence (AI) has been popping these stocks to record highs for months now. And there’s no sign of slowing down the insane growth. All of these companies, except for one that’s not based in the US, are listed in the broad-based S&P 500 index and make up about 30% of its total weight. Can you spot them in the S&P 500 Stock Heatmap ? Note that all numbers and rankings are measured by the companies' performances through mid-June of this year. Let’s roll! 1. 🧩 Microsoft (ticker: MSFT ) Microsoft is the world’s most valuable company worth a staggering $3.289 trillion. The software maker quickly swooped in to lead the AI race by backing ChatGPT parent OpenAI . It has invested $13 billion in the startup. Microsoft’s growth is largely driven by the adoption of AI across its product suite. Artificial intelligence-powered assistants such as Microsoft Copilot can operate without human intervention or direct commands, making companies’ lives easier and more productive. 💰 Market Cap : $3.289 trillion 🐮 Revenue : $211.91 billion (2023) 👶 How It Started : Microsoft's first major deal was with IBM in 1980. They developed the operating system for IBM's new computer, which they named PC DOS. The deal was worth $50,000. 2. 🧩 Apple (ticker: AAPL ) Apple has entered the chat. The iPhone maker just recently figured out how to play catch up in the AI race after doing virtually nothing for a year. Apple Intelligence — the company’s response to AI — got investors excited about the future growth prospects of iPhone sales and overall revenue generation. The AI announcement, made during Apple’s annual developer conference, helped lift its shares by 10% and propelled the company to the number one spot, dethroning Microsoft. Briefly, though . 💰 Market Cap : $3.258 trillion 🐮 Revenue : $383.29 billion (2023) 👶 How It Started : Apple traces its humble origins to Steve Jobs’s garage where he and another founder — Steve Wozniak, would test the products before selling them over the phone. A third founder — Ronald Wayne — was in the company for just 12 days and sold his 10% stake for $800. That stake today is worth more than $325 billion. 3. 🧩 Nvidia (ticker: NVDA ) Nvidia is the highflyer technology company responsible for building out the infrastructure layer of the artificial intelligence revolution. Its coveted AI chips are the hottest commodity for all other technology giants and that’s where Nvidia’s power comes from. Earlier this month, Nvidia’s market value crossed $3 trillion for the first time, overtaking Apple and becoming the third company to ever breathe the rarefied air of so much money. First place coming soon? 💰 Market Cap : $3.244 trillion 🐮 Revenue : $60.92 billion (2023) 👶 How It Started : Jensen Huang, who never interviews wearing anything other than a black jacket, was cleaning tables and washing dishes at his local Denny’s diner. And that’s where he sat with his two friends — hardware savant Chris Malachowsky and software geek Curtis Priem — when he founded his chip making business Nvidia. 4. 🧩 Alphabet (ticker: GOOGL ) Alphabet, parent of search dominator Google, is taking on Microsoft in the rushed race to market an AI assistant. The company’s first generation AI bot, Bard, suffered a major blow at launch (it returned false information). Subsequent attempts failed to present any threat to ChatGPT so Alphabet rebranded it to Gemini. 💰 Market Cap : $2.194 trillion 🐮 Revenue : $307.39 billion (2023) 👶 How It Started : The founders, Larry Page and Sergey Brin, initially worked on their search engine project from their dorm rooms at Stanford University. They later moved to a garage in Menlo Park, California, which was owned by Susan Wojcicki, former CEO of YouTube. Google purchased YouTube for $1.65 billion in 2005. Today, YouTube generates that amount in two weeks. 5. 🧩 Amazon (ticker: AMZN ) Amazon, the ecommerce and cloud computing heavyweight, is riding the AI wave thanks to its cloud computing division Amazon Web Services (AWS). It’s the company’s cash cow, revenue generator, profit driver, or however you want to call it. For the most recent quarter, AWS hit $100 billion in annual revenue run rate — a financial metric that estimates future growth based on current performance. Or the opposite of "Past performance is no guarantee of future results." 💰 Market Cap : $1.911 trillion 🐮 Revenue : $574.78 billion 👶 How It Started : Amazon was founded by Jeff Bezos in 1994 after he left his analyst job at the hedge fund D. E. Shaw & Co, inspired by the rapid growth of the internet. He took the risk of selling things online and picked books due to their wide selection and ease of distribution. And the rest is history. 6. 🧩 Saudi Arabian Oil (ticker: 2222 ) An outlier in the rankings saturated by tech giants, Saudi Arabian Oil is the world’s largest oil producer. Also known as Saudi Aramco, it’s the single most important revenue source for the Saudi government (makes up 92% of its budget to be exact). In 2022, when energy prices boomed following the Covid lockdown, Aramco pocketed record profits of $161 billion. 💰 Market Cap : $1.783 trillion 🐮 Revenue : $440.80 billion (2023) 👶 How It Started : Saudi Aramco was established in the 1930s when Standard Oil of California discovered oil in Saudi Arabia and formed the California-Arabian Standard Oil Company. By the 1980s, the Saudi government had fully nationalized the company, renaming it Saudi Aramco. 7. 🧩 Meta Platforms (ticker: META ) Last on our list of $1 trillion companies and beyond is Meta Platforms, previously known as Facebook. The brainchild of Harvard dropout Mark Zuckerberg had a rough 2022 with more than 70% wiped out of its value and knocking it out of the $1 trillion club. The following year, 2023, was a lot more generous to the social media behemoth as it gained nearly 200% and jumped right back into a 13-digit valuation. The company was up another 45% for the first half of 2024. 💰 Market Cap : $1.279 trillion 🐮 Revenue : $134.90 billion (2023) 👶 How It Started : Facebook was initially called "Thefacebook" and was limited to Harvard students when it first launched on February 4, 2004. The company’s first office was Mark Zuckerberg’s dorm room. 📣 Let’s Hear from You! What’s your favorite pick of the world’s top seven companies ranked by market capitalization? Let us know in the comments!
Editors' picks
NASDAQ:MSFT
by TradingView
4
BTCUSD - Topping out around 66k?BTC is yet to fully correct, at least on the weekly. In my eyes, these huge candles up are unsustainable without significant greed. Significant greed cannot continue indefinitely without returning to the mean (neutrality), and likely, significant fear. There are a few factors I believe will influence a correction: Greed across the traditional and crypto markets. See CNN's sentiment analysis and alternative.me's fear and greed index. Only 5% of institutional financial managers are planning to hold BTC in 2021 (volatility being cited as the main reason), implying the feverishness of 'mass adoption' is overstated and overhyped. Bitcoin is back in mainstream media. The more exposure it gets, the more FOMO and greed kick in, the more new investors pile in, the more people ready to buy right at the top and add selling pressure on the way down. Big green (or red) candles, while difficult to gauge the top, often result in big moves back down. Similarly, an almost vertical acceleration implies a significant deviation from its mean (anecdotally, the further and quicker something deviates away from its mean, the quicker it comes back). Currently, BTC's yearly EMA is almost exactly the previous ATH of $20k. Simply, a correction is due. It's gone up but hasn't come down much. So, knowing that a correction is due at some point, we can then try and forecast the top. While looking for similarities between the last ATH and this current rally, I noticed there was a period of consolidation, followed by a higher low that wicked down (marked on the chart). Using these points as anchors, the next anchors are the ATH and the last high at $42k. While the intraday levels of these fibs fit nicely, there are 2 extensions that caught my eye on the weekly that fit almost perfectly. The 1.618 level on the recent fib (grey) and the 3.618 level of the ATH fib (red) both sit around $66.1k and $66.3k respectively. Seeing how well the other levels line up through previous price action gives me confidence these are valid levels. I'll give coordinates at the end of this post so you can see what I mean. I've also included a 3-factor BB on the chart for confluence. While the weekly close tomorrow will change the upper band, its near-vertical ascent will likely eventually be punctured by price. As denoted by the red circles, a reversal has occurred every time a swing has formed there. Moreover, for an asset to exceed 3 times its weekly standard deviation should ring alarm bells in anyone's ears. Okay, so we know where the top might be. How can we make a trade based on this? I'll start with where I think it might end up. If we use $66k as our first anchor and the bottom of the last consolidation at about $3.1k, then the 0.618 level (blue line) lines up perfectly with the most recent fib's 0.618 level on the way up. This falls at $27.5k, or rather, a contraction of 61.8%. The tricky part is stop loss placement. I'm going to say that a technically invalid level would be past the 3.764 level of the ATH fib at $70k. Anything between $71-72k would likely invalidate this idea. In summary: Entry: $65k Stop: $71-72k TP: $27.5k, $31k if conservative, $42k if ultra conservative Let me know what you think and give me a follow for more. Happy trading! COORDINATES: ATH fib = (1) 1830.00, (2) 19666.00 Current fib = (1) 3122.28, (2) 42000.00 TP fib = (1) 66026.19, (2) 3122.28
BITSTAMP:BTCUSDShort
by pasojov
6
SPY Fibonacci Price Theory And BreakOut BarsThis instructional video teaches you the basics of Fibonacci Price Theory in conjunction with Breakout Bars and how price is the ultimate indicator. Throughout this video, I try to provide instruction on key elements related to the Fibonacci Price Theory (Unique & Standout Highs/Lows). Additionally, I've also included Breakout Bars and Fibonacci Price Retracement concepts. What I really hope you learn from this video is to see price as the true ultimate indicator for your trading decisions. Using technical analysis techniques is fine, but use price as the key element when trying to confirm or reject your trading ideas. I hope this helps you understand that price, action, and reaction through trends, peaks, and troughs are the most important components of the chart. Everything else is peripheral.
Editors' picks
AMEX:SPYEducation
by BradMatheny
3
AI GEMS 💎AI The ubiquitous integration of artificial intelligence into our daily lives is steadily increasing, and the technology is impacting many industries and activities. One of the drivers of the AI field has been OpenAI, which has a variety of products such as GPT, ChatGPT, Sora, and DALL-E. AI is used in many industries, from personal assistants such as Siri and Alexa to AI algorithms in social media - AI's presence is ubiquitous and continues to expand. In the field of cryptocurrencies, AI has been no exception. The convergence of AI and blockchain technology has led to a surge in the development of AI-based cryptocurrencies and applications. These projects utilize AI and machine learning to empower blockchain networks, improve security, and create new use cases. AI is used in cryptocurrency for various purposes, such as automating trading strategies, improving market analysis, and making blockchain networks more efficient. Even some AI-enabled cryptocurrencies have emerged, looking to capitalize on the growing interest in both AI and cryptocurrencies. However, the use of AI in cryptocurrencies should be approached with caution. While AI can potentially empower blockchain networks and improve user experience, it poses new risks and challenges. For example, AI algorithms can be susceptible to manipulation or exploitation, and the security of AI-based cryptocurrency systems can be jeopardized. AI has become an essential part of our lives, and its integration into the cryptocurrency world is no exception. As AI evolves and improves, its role in cryptocurrency will likely expand, offering new opportunities and challenges for developers and users alike. AI Market today The AI sector of the cryptocurrency market is currently experiencing a period of significant growth and development. According to the latest data, the total market capitalization of AI-related cryptocurrencies is $32.8 billion. AI-related crypto assets have performed well after major developments in OpenAI: The sector has seen significant growth over the past year, with high-profile projects such as CSEMA:AKT , NYSE:FET , and SET:PRIME significantly increasing their market value. The artificial intelligence sector in the cryptocurrency space is seen as a strong contender for becoming the following big narrative, and the continuous development of AI technologies is expected to drive further growth. Projects such as The Graph (GRT), Fetch.ai (FET), and SingularityNET (AGIX) are among the most successful in the AI cryptocurrency space, offering unique value propositions that utilize AI to enhance the functionality of blockchain and cryptocurrencies. The convergence of AI and cryptocurrencies is seen as a significant trend: AI is used to analyze the vast amounts of data generated by cryptocurrency markets. Such analysis helps to understand market trends, predict price movements, and improve the security of digital transactions. The use of AI in crypto trading and market forecasting is a crucial area, with projects such as Ocean Protocol (OCEAN) and Numeraire (NMR) leading the way. However, it is essential to note that the artificial intelligence cryptocurrency sector is still at an early stage of development, and while it offers excellent opportunities, it also carries risks. The speculative and volatile nature of the cryptocurrency market means that it is difficult to predict which particular AI cryptocurrency will show significant growth. The AI sector of the cryptocurrency market is a dynamic and rapidly evolving space. A wide range of projects utilize AI technologies to enhance the functionality of blockchain and cryptocurrencies. As AI evolves and integrates into the cryptocurrency market, we can expect to see more sophisticated and efficient solutions for trading, security, and compliance. Example of AI in DAO AI at the edge of DAO - autonomous agents act as token holders. Decision-making in the DAO is democratic and decentralized. This means that every member of the DAO has the right to vote. In theory, the democratic nature of the DAO has several advantages. However, in practice, the requirement to vote on every single proposal can be overwhelming for members. Many DAO members do not have the time to vote or even the ability to understand each proposal. The lack of voter participation in the DAO limits the efficiency of decision-making within the DAO and could be a potential risk of centralization if only a tiny fraction of DAO members participate in the voting process. If autonomous agents act as delegates for token holders, voter participation in the DAO could increase, the speed of decision-making would accelerate, and decentralization could become feasible. Promising projects Attention! Make your DYOR! If you want to see my portfolio, please see its description below the chart. MASA The MASA project is a decentralized AI data and LLM (Large Language Model) network that aims to enable users to own, share, and earn from their data and computations, thereby facilitating the development of AI applications. The MASA token serves as a utility and management token for the Masa network and operates as a standard ERC20 token on Ethereum Mainnet. The MASA token has several options for use in the Masa network: Users can submit their data to the Masa network and receive MASA tokens as rewards. This incentivizes data sharing and helps build a robust AI data ecosystem. Businesses and developers can pay for MASA tokens to access and utilize the data, products, and services available on the Masa network. Users pay for MASA gas on the Masa Avalanche subnet to mine and manage their zkSBT (zero-knowledge Soulbound Token), an encrypted repository of personal data. Some of these gas payments are burned, contributing to the token's deflation. Masa Oracle node operators use MASA tokens to manage Masa zk-oracle nodes. This helps secure the network and maintain its integrity. Through community management, MASA token holders can participate in the Masa network's decision-making process. This ensures that the network develops in a decentralized and democratic manner. Overall, the MASA project is a promising initiative in the field of decentralized AI data and LLM. It offers users the opportunity to contribute to the development of AI applications while being rewarded for their data. The MASA token is vital in encouraging data sharing, securing the network, and facilitating community management in the Masa ecosystem. Parsiq Parsiq is a comprehensive data network that powers the dApps backend and Web3 protocols. Its APIs provide real-time and historical data querying for blockchain protocols and clients, facilitating the creation of various Web3 data products. The platform is designed to connect blockchain to various ecosystems or off-chain devices and applications, allowing users to control and secure DeFi applications, create custom event triggers, and automate real-time operations. Parsiq has made significant strides in its growth, including more than 50 strategic partnerships in 2021. These include well-known projects and service providers such as AAVE, OKEx, Solana, Chainlink, Polkadot, UnoRe, Mysterium Network, PancakeSwap, and deBridge. The project's technology is linked to many famous projects and protocols in the cryptocurrency space, allowing it to be used in increasing use cases, including AML and KYT processes, DeFi, and TradFi. In 2023, Parsiq introduced its Reactive Network, designed to bring the concepts of ReactEVM (rEVM), reactive smart contracts (RSC), and Relayer Network to the blockchain world. The Relayer Network extends the functionality and capabilities of RSCs by bringing their abilities to the entire blockchain and allowing the whole network of blockchain ecosystems to be tracked, analyzed, and responded to through a single, smart contract. The REACT token plays a vital role in the Reactive Network, paying for gas and post-blockchain RSC transactions and rewarding participants who maintain consensus in the event log. Parsiq's evolution of rEVM leverages all aspects of its past and accumulated experience to bring its most revolutionary and industry-impacting solutions to the future to date. The VM reactive brilliant contract standard, combined with the cross-chaining capabilities provided by the Relayer Network, will enable current and future developers to build the next generation of Web3 applications. Parsiq is a promising Web3 data networking project that offers innovative solutions for connecting blockchain to off-chain applications and facilitates the development of advanced Web3 applications. Introducing the Reactive Network and the REACT token further expands the platform's capabilities, making it a significant player in the blockchain ecosystem. EMC EMC ( Edge Matrix Computing ) is a cryptocurrency project that aims to create a decentralized network of AI computing power applications. It focuses on efficiently connecting and collaborating tens of thousands of idle or clustered GPU computing power nodes through Proof of Work (POW). The unique value of the EMC project is that it is the only project in the Web3 space that directly links GPU computing power to AI applications, delivering them to everyday developers and users at low cost and convenience. The project was launched with the first RWA (Real World Assets) product based on GPU hardware computing power for AI on December 6, 2023. This product is based on GPUs, the most valuable manufacturing tools of the AI era, and represents standardization, high value, and high technical added value. The release of RWA increases asset liquidity for nodes and the network and ensures the continued growth of EMC's network value within the RWA product. EMC is actively under construction and has attracted the crypto community's attention, as evidenced by its strong social media presence and ongoing discussions about its airdrop. The project is considered large-scale and has the potential for significant growth in the future. Forta Forta is a project aimed at improving the security of smart contracts on the blockchain. It has a token called FORT, which incentivizes network security. The project was launched with a $23 million fundraising led by Andreessen Horowitz (a16z) and has gained attention for its efforts to secure smart contracts on various blockchain networks. The project aims to detect and mitigate cybersecurity, financial, operational, and governance threats through a community of developers who build and run bots to monitor these risks. Forta's decentralized approach to security is seen as a critical step in securing smart contracts and the entire blockchain ecosystem. FORT owners can vote on governance proposals, contributing to the decision-making process that guides the network. This democratic approach ensures that the community can influence the direction and development of the Forta network. This way, the FORT token is central to the Forta project's Web3 security mission, incentivizing the developer community to build the tools needed to secure their projects. The token's value is tied to the success and growth of the Forta Network, making it an essential component in the ecosystem's efforts to improve blockchain security. Alethea AI Alethea AI is a cutting-edge project combining generative AI and blockchain to democratize AI ownership and governance. It is at the forefront of the cryptocurrency revolution to decentralize the ownership and management of AI by leveraging the combined capabilities of these technologies. The project attracted significant attention and support, with a total funding of $30.4 million, and the ALI token was an integral part of the project. The project introduced the concept of intelligent non-fungible tokens (iNFTs), which are NFTs capable of learning, evolving, and interacting with the environment. These icons can be created using the AI Protocol, which offers developers tools for creating AI-enabled DApps. The native ALI token plays a fundamental role in the decentralized operations of the iNFT protocol and the DApps built on top of it. The primary mission of Alethea AI is to provide decentralized ownership and democratic governance of artificial intelligence, which is achieved through the use of blockchain technology. The project also introduced CharacterGPT V2, which allows the creation of realistic characters with unique voices and personalities through text input. Openfabric AI Openfabric AI is a Tier 1 protocol that aims to revolutionize artificial intelligence (AI) by creating an ecosystem where innovation is highly valued. It provides a platform for people with different backgrounds to contribute and utilize AI solutions to solve complex problems. Open fabric has been developed through extensive research and testing, ensuring it is built on a solid and reliable foundation. Openfabric architecture encourages communities to unite, monetize their intellectual property, and compete or collaborate to pave the way for the Internet of Artificial Intelligence. It abstracts the technical complexity of artificial intelligence systems, enabling improved user experience and business integration. By utilizing a trusted execution environment and advanced cryptography techniques, the underlying framework ensures scalability, data privacy, and intellectual property protection. Critical features of Open Fabric include decentralization to avoid centralized control, usability to simplify interaction with AI, security to protect privacy and intellectual property, smart economics to ensure fair transactions, interoperability for collaboration between AI agents, and scalability by leveraging the computing power of network participants. The Openfabric platform offers several tools and resources for developers and users, such as the Openfabric Store, Openfabric Toolkit, Openfabric SDK, and Openfabric Daemon. It also supports creating new AI applications and aims to stimulate fair market competition. It is a promising projims to create an inclusive and cohesive community and marketplace for AI resources, developers, and companies, making AI and blockchain technology more accessible and efficient for users. Conclusion The artificial intelligence sector is experiencing rapid growth and is expected to continue expanding significantly in the coming years. According to Precedence Research, the global artificial intelligence (AI) market was valued at $454.12 billion in 2022 and is projected to reach around $2,575.16 billion by 2032, growing at a compound annual growth rate (CAGR) of 19.7% from 2023 to 2032. This growth is driven by the increasing demand for AI in various fields, including medical, banking and finance, manufacturing, and others. One of the key factors driving the growth of the AI sector is the development of new technologies and the widespread adoption of AI across various industries. For instance, the healthcare AI market is expected to grow at a CAGR of 37.5% from 2023 to 2032, driven by the use of AI for drug discovery, medical imaging, and patient care. Similarly, the AI market in the automotive industry is expected to grow at a CAGR of 35.5% from 2023 to 2032, driven by the development of autonomous vehicles and advanced driver assistance systems. Apart from these industry trends, the AI sector also benefits from the increasing availability of data and the development of new algorithms and computing platforms. As available data increases and computing power grows, AI systems become more functional and versatile, enabling them to address an ever-wider range of tasks and applications. Overall, the future of the AI sector looks bright, with significant growth and innovation expected in the coming years. As AI technologies continue to evolve and become more widespread, they have the potential to change many aspects of our lives and drive economic growth and development. In the future, adopting AI will lead to innovation and success, while resistance to it could lead to stagnation and obsolescence. Best regards EXCAVO
CRYPTO:ALIUSDLong
by EXCAVO
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