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HUDA Market Sec 56, #Gurugram Open Sewer, Water Logging, and Waste Dump - Everything in 1 single screen. Dare for MCG commissioner to cross this market on his feet. Nayab Saini CMO Haryana Central Pollution Control Board MCG DC Gurugram Sanjiv Kapoor @gsam2411 खुरपेंच ravish kumar Manohar Lal Narendra...

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A few months back, I was called by the embassy to arrange a meeting about Zimbabwean goods. I fobbed them off. However, they then roped in another businessman to go see them. He called me & asked for advice. I told him they a bunch of idiots & can go hang. He was already on his way, so he ended up going to have a listen to what they said. Just to jog your memory, remember Hopewell visited me a few months back? We actually spoke about it briefly. The embassy & its incompetent idiots that work there have this GRAND idea that they are going to bring in Zimbabwean goods & sell them. With the help of ZimTrade, apparently. They actually believe they can get someone here in the UK to be the sole distributor for Mazoe. Anyway, cut a long story short, the embassy is really trying hard to rope in investors to bring in dry goods from Zimbabwe. They want to get their fingers in the pie. Well, all I can say is those fingers will get burnt because the pie is hot. Dry goods are shipped into this country 🇬🇧 by Zimbabweans. Black Zimbabweans & myself! We hold a monopoly on the market & no matter how much the embassy or some guy wants to try convince you to invest you will fail. We have been doing this for years & know exactly how it works. Those products you find in your favourite shops come from either of us & we work together. Ask the last 6 people that have tried to enter the market over the past 5 years what happend to them. 1 container 2 container NONE! We will soak up your first container so you think you done well the moment your second container is on the water we will dump your first container on the market. It will be flooded that you won't even sell a single case of that second container. We know how it works & nobody can get in our way. Coke cola owns Schweppes & they would never drop the likes of us who supply the majority of the UK for someone who doesn't have a market at all. You can have 1 million followers & will fail. We will make sure of that. We control the market. So before you even think of sinking £30k into shipping a 40ft container to the UK remember there is us who you will have to deal with & you don't want to price war with us. Consider this a friendly warning Mr Chinono! This is our turf & you will lose a lot of money. I have NDA's signed by businessmen who have asked for my advice when it comes to importation of dry goods if any of them have tried to rope you in I will sue them to Kingdom come. This is a very cutthroat industry & we will crush you & any other person who gets in our way, like how we have been crushing people for years & nothing will change. Anyone who want to bring dry goods into this country comes through me. We will see if we can fit you into the circle. That's the only way you will succeed otherwise its war. Again, consider this a friendly warning!

Adamski Jahman

187,941 просмотров • 1 год назад

The Tradingview Source Code Hack: How Claude Code Actually Makes You Profitable building a trading bot in 2026 is less about being a genius coder and more about having the guts to stop letting your emotions drive your portfolio into a ditch. i spent years thinking that code was some secret language for the elite while i was busy getting liquidated on trades that should have been easy wins. the truth is that the simplest piece of automation can be the difference between a blown account and a system that actually grows while you sleep most traders are stuck in a loop of staring at charts until their eyes bleed and then making a panic decision at the worst possible moment. i used to be that guy who spent hundreds of thousands of dollars on developers because i thought i was too far behind to learn it myself. the moment i realized that code is the great equalizer was the moment i stopped being a victim of market makers who can see every single move i make the hardest part of trading is the transition from manual clicking to full automation and that is where most people quit because they think it is an all or nothing game. you do not need a bot that does everything on day one but you do need a way to stop yourself from over trading and hitting the market button like a slot machine. imagine if you could just tell a script to enter a position for you slowly over time so you never have to worry about catching a falling knife ever again the secret weapon in this 2026 landscape is something i call the easy bot which is basically a remote control for your trading discipline. most people use too much leverage and never take profits because their brain tells them it will go higher right before the dump hits. by using a chunking entry system you can tell your bot to buy a position piece by piece which averages your entry and keeps your heart rate low most traders do not realize that exchanges and market makers can see your stop loss sitting right there on the order book like a giant target. if you are tired of getting stopped out only to see the price immediately reverse in your direction then you need to understand the power of a ghost stop loss. a ghost stop loss lives in your code and not on the exchange so the market makers have no idea where your pain point is until the bot actually sends the close order this invisible protection is a game changer for anyone trading on high volatility chains like solana or hyperliquid where the wick hunting is relentless. i learned this the hard way after watching my manual trades get hunted over and over while my automated systems stayed perfectly safe in the shadows. once you have a bot monitoring your positions for you the stress of a potential liquidation basically vanishes because the machine does not hesitate when it is time to exit the real fun begins when you start thinking like a market maker instead of a gambler who is just hoping for a moon shot. instead of guessing where the top is you can set up a simple logic loop that says buy under this price and sell over that price all day long. this allows you to capture the sideways chop that normally drains a manual trader through fees and bad entries while you are out at the beach or focusing on your business breakout trading is another area where manual traders lose their edge because they are either too slow to react or they enter way too late on a fake out. a simple script can sit there and monitor price action 24/7 with more patience than any human being could ever dream of having. when the breakout actually happens the bot triggers the entry in milliseconds while you are still trying to unlock your phone and open the exchange app i started learning to code live on youtube because i wanted to prove that anyone can do this if they are willing to iterate to success. it is not about getting it perfect on the first try but about building the foundation with functions that get the position and check the token price. every single bot i run today is just a combination of these basic building blocks that i have refined over the last five years of building in public if you are still trading by hand you are essentially bringing a knife to a gunfight in a market that is increasingly dominated by ai and high frequency systems. my goal with the road map and the open source code is to give you the same tools the big players have without you having to spend a fortune on devs. code allows you to backtest your ideas against historical data so you can see if your strategy actually works before you risk a single dollar of your hard earned capital the journey from a hand trader to a pseudo automated trader is the most important step you will ever take for your financial freedom. as you start to automate your entries and exits you will notice that your life gets better because the machine handles the boredom and the stress. eventually you will find that you are no longer chasing the market but instead you are letting your systems do the work while you live your life the way you want to i believe that the era of the manual retail trader is coming to an end but the era of the retail coder is just getting started. through the pain of my own liquidations i found the path to automation and i am never going back to the old way of doing things. keep building and keep iterating because the great equalizer is right there in the terminal waiting for you to take control of your future

Moon Dev

38,102 просмотров • 5 месяцев назад

Chamath Palihapitiya just said what Silicon Valley is terrified to say out loud. On Joe Rogan. To millions of people. Without flinching. Chamath: “The only person that we can trust is Elon.” Not whispered at a dinner party. Not buried in a podcast nobody listens to. Said on the record. Full weight behind it. And then he told you why. Chamath: “I feel like he’s the least corruptible. He’s the most independent thinking. And I think he’s the one that has an actual empathy for people.” One of the sharpest capital allocators in Silicon Valley history looked at every founder building AI. Every single one. And chose the one the media spends the most energy telling you to hate. That alone should stop you cold. Chamath: “Then there are folks where there’s just an insane profit motive.” He’s talking about OpenAI. He’s talking about Google. He’s talking about companies that swallowed billions from Wall Street and now answer to shareholders before they answer to humanity. Chamath: “They’re less in control of the businesses that they run.” The people building the most powerful technology in human history do not control their own companies. Their boards do. Their investors do. Their liquidation preferences do. And these are the ones we’re trusting with superintelligence. Chamath: “He’s like, I need to get to Mars.” This is the fracture line nobody wants to touch. Every other AI founder is optimizing for the next earnings call. The next funding round. The next quarterly number that keeps the machine fed. Elon is optimizing for the next planet. One group builds to satisfy investors. The other builds to survive as a species. Those aren’t different strategies. Those are different operating systems running on different hardware. And it changes everything about how you build. When your time horizon is 90 days, you cut corners. You monetize behavior. You trade safety for speed because the board needs a number by Friday. When your time horizon is interplanetary, you can’t afford a single shortcut. Because shortcuts don’t survive launch. Chamath: “Where is this going to end up?” The only question that matters. And nobody in power wants you asking it. Because the answer comes down to who gets there first. If it’s a company owned by Wall Street, superintelligence becomes the most sophisticated extraction engine ever built. Every decision optimized. Every behavior predicted. Every market captured. Not for you. For the balance sheet. If it’s someone who can’t be bought, pressured, or voted out by a board of directors, there’s at least a chance it bends toward something bigger than quarterly revenue. History never remembers who built the most powerful technology. It remembers who controlled it. And what they used it for. The only founder in AI who cannot be fired by a board, leveraged by an investor, or replaced by a shareholder vote is the one they spend the most energy telling you not to trust. Ask yourself why.

Dustin

143,375 просмотров • 2 месяцев назад

Here is another recording of Manisha Swami on the day she was supposed to reprimand Adarsh Kumar Mishra because he was harassing female employees. But instead of doing that, she misused her position, misused the idea that she is a woman and went on a meaningless tirade about Gender sensitization. While listening to this, do remember this is a person who has cleared UPSC and pay attention to everything she says. I would like to know your opinion on how this is a gender sensitization workshop. She says "I can say hello to anybody but nobody can say hello to me". I don't know who she was referring to about being blocked but it was definitely not me. Because last reply from her to me is "Ok". There is a reason foreign policy is in shambles. It's because people like S Jaishankar, Manisha Swami, Suresh Reddy, B Vanlalvawna, Sanjiv Ranjan(IORA, Mauritius), Puneet Agrawal, Monika Aggarwal, Harish Baxla, Suraj Mohan, Gayatri Gosain, Adarsh Kumar Mishra, Yashashri Shukla(CVC) and Puneet Meena (DS[CPIO]&CVC) have been looting the country openly. I have not put even a single name above randomly. If anyone has seen my original complaint, you would have noticed that I had also written highly about good officers in the Ministry. But unfortunately there are very few of these. Otherwise all this would not have happened with me so openly without any restraints. After this case, it will be definitely clear whether India is an Independent nation or a country ruled by corrupt civil servants. I am attaching a copy of the FIR which I have tried to file but which was not accepted by police. In case audio does not play on twitter, here is the link I hope you are listening Narendra Modi PMO India Rahul Gandhi Subramanian Swamy Pawan Khera 🇮🇳 ಪವನ್ ಖೇರಾ Shashi Tharoor Priyanka Chaturvedi🇮🇳 Somnath Bharti सोमनाथ भारती Revant Himatsingka “Food Pharmer” खुरपेंच Anshul Saxena Abhi and Niyu Abhijit Iyer-Mitra Indira Jaising englishaugust Vir Das Deepika Narayan Bhardwaj Mahua Moitra Sagarika Ghose Sucheta Dalal Ramachandra Guha Sonam Wangchuk Sanket Upadhyay Saurav Das Sidhant Sibal ravish ndtv Dr Aniruddha Malpani, MD Sandeep Manudhane Akassh Ashok Gupta Mohak Mangal AajTak NDTV The Hindu IndiaToday Satish Acharya Yogendra Yadav Prakash Raj Zee News Al Jazeera World BBC News Hindi The Wire The Caravan newslaundry Govind Pratap Singh | GPS Manisha Pande I have started something purely out of sheer luck and chance which I hope is going to bring a good change in my country but I hope that world you are listening and that this man Dr. S. Jaishankar is a wolf in sheep's clothing and I hope you are going to definitely ban him United Nations United NationsHumanRights

Rohan

17,477 просмотров • 1 год назад

The Great Equalizer: How I Iterated Through 90+ Strategies to Automate My Financial Freedom ninety strategies sounds like a death wish but it is actually the only way to find your edge in a market designed to liquidate you. most traders are out here gambling with their rent money while the big players are using automated systems to harvest their liquidations. i know this because i spent hundreds of thousands of dollars on developers for apps thinking i could never code myself. i was getting wrecked by over trading and watching my accounts hit zero while i slept. code became the great equalizer for me because it removed the emotion that was killing my bankroll. i decided to learn to code live so i could iterate to success and now i have fully automated systems trading for me instead of getting liquidated by every wick. i just saw someone lose ten million dollars in a single month because they were trading by hand and got addicted to the screen. you have to understand that if you are not automating you are the exit liquidity for someone who is. the reality of advanced futures trading is not about finding one holy grail bot that prints money forever. it is about research and back testing until you find a strategy that has a statistical advantage. one of the most slept on concepts is variable risk scaling where you actually change your position size based on how volatile the market is. instead of just betting the same amount every time you increase your size when volatility is low and scale back when the market starts moving like crazy. this keeps you in the game during the draw downs that usually wipe people out. most people do the opposite and revenge trade with bigger size when they are losing which is the fastest way to the cemetery. i used to think i needed to be the smartest guy in the room to make this work but i realized i just needed to be the most disciplined with my risk parameters. there is a secret hidden in funding rates and basis trading that most retail traders never even look at. while everyone else is trying to guess if bitcoin is going to the moon or the floor you can actually make consistent money through funding rate arbitrage. you basically buy the asset in the spot market and simultaneously sell it in the futures market when the funding rate is high. you just sit there and collect the interest payments from the gamblers who are over leveraged on the other side. it is basically free money if you can manage the fees and keep your execution precise. i used to ignore these low yield plays because i wanted the big home runs but those home runs usually came with massive strikeouts. now i look for these carry trades as a way to keep the equity curve moving up and to the right while others are sweating over every price change. most traders fail because they use lagging indicators and expect them to predict the future with one hundred percent accuracy. the truth is that even the best trend following strategies like the golden cross or moving average crossovers only have about sixty five percent accuracy. you have to combine these with filters like the average directional index or relative strength index to make sure you are not just buying a fake breakout. a lot of people get chopped up in sideways markets because they do not have a trend strength filter to tell them to stay out of the trade. i learned to use multiple time frames to confirm my breakouts because if the one hour and the four hour charts are not saying the same thing then the trade is probably a trap. you have to be a searcher looking for those golden nuggets of alpha buried in mountains of data. i used to think that machine learning and genetic algorithms were just buzzwords that did not actually work for trading. then i realized that the 1990s tech trap is real and if you are still using basic indicators without any optimization you are decades behind. genetic algorithms are wild because they simulate natural selection to find the best parameters for your strategy through trial and error. you can actually build an environment where your bot learns from its own mistakes and optimizes its decision making process over time. i spent so much time thinking i was not smart enough to do this but once i started iterating live i found that the machines are much better at following rules than i ever was. code is the only way to compete with the high frequency firms that are looking for any tiny mispricing in the order book. slippage and bad execution will eat your profits faster than a bad trade ever could if you are not careful. most people just hit the market buy button and pay the spread and the fees without a second thought. you should be using smart order routing and limit orders to capture the bid ask spread instead of paying it to the market makers. i started using time weighted average price execution to spread my larger orders out over time so i did not move the market against myself. it is these tiny details in execution that separate the professional quants from the people who are just playing around. i had to learn this the hard way after losing a fortune on bad entries and exits that could have been avoided with a few lines of code. the ultimate goal of all of this is to build a compounding machine that grows your capital while you are living your life. you have to automate the reinvestment of your profits so that your position sizes grow as your account grows without you having to manually adjust anything. i like to use automated compounding algorithms that take a portion of my wins and put them back into the systems that are performing the best. this creates a snowball effect where your returns start to accelerate as the base capital increases. it took me years to realize that i did not need to be at the desk for eighteen hours a day to make life changing money. i just needed to build a system that was smarter and more disciplined than my own human brain. cross asset skew and volatility surface arbitrage are where the real quants play when the market gets efficient. you can look for mispricings between highly correlated assets like bitcoin and ethereum and trade the spread between them. when one asset gets overvalued relative to the other you short the leader and long the laggard until they revert back to the mean. this is a much safer way to trade because you are not betting on the direction of the market but rather the relationship between two assets. i spent a lot of money trying to guess the next big move before i realized that trading the relationship between assets was much more consistent. iteration is the only way to find these winks in the market that the average trader is completely blind to. it is a cold world in finance and most people are out here trying to step on your neck to get ahead. i believe that sharing this knowledge is important because code is the only thing that can give a regular person a fighting chance against the institutions. i started from zero and learned everything through failing and losing money until i finally figured out how to automate. now i spend my time building and testing instead of worrying about the next liquidation candle. you have to decide today if you want to keep being the exit liquidity or if you want to start building your own systems. the tools are all there and the data is accessible if you are willing to put in the work and stop negotiating with yourself. successful trading is not about being lucky it is about being prepared and having a system that can handle any market regime. whether the market is in a bull run or a total crash your bots should know exactly what to do based on the rules you have coded into them. i use risk weighted allocation to make sure that my capital is always moving toward the strategies with the highest sharp ratio and the lowest volatility. this keeps the portfolio stable even when the crypto market is going through its typical insane swings. i finally found peace in this game because i know that my automated systems are following the math while everyone else is following their feelings. code is the great equalizer and it is time for you to start using it to protect your future and build your empire there are over ninety strategies you can test and most of them will not work for your specific style but you only need one or two to change your life. i have built a fat list of ideas from research and i spend every day back testing and refining them to stay ahead of the curve. do not let the fear of coding stop you from taking control of your financial destiny because i am living proof that anyone can learn. i would rather spend my time iterating to success than getting liquidated by some random news event that i could not predict. the journey from losing hundreds of thousands to fully automated success was long but it was the best investment i ever made. keep your heart open and lead with love in this game and i promise the universe will start passing you those golden nuggets of alpha you have been searching for

Moon Dev

11,126 просмотров • 5 месяцев назад

Stop Gambling, Start Engineering: The Ultimate Guide To CCXT Algorithmic Trading most traders are essentially walking into a high stakes casino with a blindfold on while the house has a high speed laser aimed directly at their bankroll. if you have ever felt the soul crushing weight of a liquidation notification at three in the morning then you know the market is a 24/7 beast that eats human emotion for breakfast there is a hidden bridge that connects your laptop to almost every major crypto exchange in existence and once you cross it the game changes forever. my name is moon dev i believe that code is the great equalizer because through losing money with liquidations and over trading i knew i had to automate my trading so i learned to code as in the past i spent hundreds of thousands on devs for app, thinking i would not be able to code myself w/ bots you must iterate to success so i decided to learn live on youtube, and now we are here, fully automated systems trading for me instead of getting liquidated. the secret weapon behind this transition is a library called ccxt which acts as a universal translator for exchanges like binance, bybit, and kucoin most people think they need to spend years studying computer science just to place a single trade via code but that is a lie designed to keep you on the sidelines. the reality is that once you understand how to initialize a connection you can control your entire portfolio with just a few lines of logic. it starts with importing the library and setting up your credentials in a way that doesn't leave your keys exposed to the world the first mistake that bankrupts most manual traders is the inability to act fast enough when the trend shifts. when you build a bot the first thing you need to master is the market order because it allows you to enter or exit a position instantly regardless of the price. it is the ultimate panic button for when a strategy goes south or a massive opportunity presents itself while market orders are great for speed they are the fastest way to get eaten alive by fees if you are not careful. this is where the limit order comes into play allowing you to dictate exactly what price you are willing to pay for an asset. by using a create limit order function you can place your bids and asks in the order book and wait for the market to come to you most traders forget that once an order is placed it stays active until it is either filled or manually removed. i have seen countless accounts go to zero because a bot kept piling on buy orders without ever checking to see if the previous ones were canceled. the cancel all orders function is the invisible shield that prevents your algorithm from accidentally over leveraging your account the real magic happens when you realize you can cancel more than just basic limit orders. there are untriggered conditional orders like stop losses and take profits that often hide in the background of an exchange waiting to ruin your day. by passing specific parameters into your cancel function you can wipe the slate clean and ensure your bot is starting from a neutral state every single time if you want to know what the whales are doing before it shows up on a candle chart then you need to be looking at the raw order book. fetching the order book gives you a direct view of every single bid and ask currently sitting on the exchange. this is the most honest data you can get because it represents real money waiting to be filled at specific price levels you can actually parse this data to find the exact top of the bid and the bottom of the ask to ensure your bot always gets the best possible entry. most retail traders are looking at delayed charts while your bot is reading the tape in real time and calculating the spread. this allows you to place orders that are optimized for the current liquidity rather than just guessing where the price might go one of the biggest hurdles in automation is managing the sheer volume of data that an exchange throws at you. when you fetch open high low close volume data you are getting the historical heartbeat of an asset across any timeframe you choose. this data is the foundation of every technical indicator from simple moving averages to complex machine learning models the problem is that raw data is often a mess of lists and dictionaries that are impossible for a human or a simple script to read efficiently. this is why we use pandas to convert that garbage into a structured data frame that looks exactly like a clean spreadsheet. once your data is in a data frame you can calculate rsi or macd with a single line of code and visualize the entire market structure the path to becoming a successful automated trader is not a sprint but a series of iterations toward a system that works. i chose to learn this live in front of the world because i wanted to prove that anyone can escape the cycle of over trading. you don't need a million dollars to start but you do need a system that removes the human element from the equation if you are still clicking buttons on a website then you are competing against machines that can process thousands of data points per second. it is time to stop playing a rigged game and start building your own edge in the market. the code is there for anyone to grab and the only thing standing between you and a fully automated portfolio is the willingness to sit down and write the first line every algorithm you build is a brick in a wall that protects your capital from the emotional swings of the crypto market. i spend my days refining these systems and sharing the process because i know how lonely it feels to lose everything to a flash crash. we are building a community where code is the tool and financial freedom is the goal the final step is realizing that your balance is just a number that your bot needs to manage with cold logic. by fetching your balance frequently your bot can calculate position sizes based on your total equity ensuring that no single trade can ever wipe you out. this is the difference between gambling and systematic trading and it is accessible to anyone with an internet connection i hope you take these tools and start building something that allows you to sleep peacefully while the markets do their thing. the industry is secretive for a reason but we are breaking those walls down one line of code at a time. the journey is long but the reward of never having to worry about a liquidation again is worth every second of the struggle

Moon Dev

14,105 просмотров • 5 месяцев назад

I Built a 37.0 Profit Factor Bot by Cracking Every TradingView Source Code tradingview is a gold mine hiding in plain sight and i just found the master key to unlock every single secret hidden within its community scripts. most traders spend their entire lives staring at candles and hoping for a miracle while the actual alpha is buried in the open source code that nobody bothers to look at. i used to be that guy who sat there getting liquidated at three in the morning because i thought i could outplay the market with my gut feeling and some drawings on a screen. it turns out that the game is completely rigged against you if you are trading manually but there is a specific way to flip the script. i am going to show you how to stop guessing and start knowing exactly what works across every possible market condition before you ever risk a single dollar. i spent years losing money and thousands on developers because i thought i was not smart enough to code the systems myself but i was wrong. the first step to cracking the market is realizing that every indicator on the super charts has a source code section that is completely open to the public. you can literally scroll through the community scripts and pull the exact logic for thousands of different strategies that people claim are the holy grail of trading. but the secret is not just having the code because most of these indicators are actually garbage that will blow your account up in a week. this is where the real loop opens because you need a way to test these ideas across twenty five different data sets in seconds rather than months. i use a custom setup with ai agents specifically a sub agent i call the backtest architect to handle the heavy lifting of turning pine script into python code. the goal is to create a factory where you can feed in a raw indicator and get back a full report on its expectancy and profit factor without lifting a finger. most people find one strategy and marry it for life but a real data dog knows that you have to iterate to success or you will get left behind. i am running eighty one different backtests right now because i know that ninety percent of what i find will be trash but that remaining ten percent is where the wealth is made. the backtest architect knows exactly how to structure the folders and data paths so that we are testing everything from the base indicator to complex versions with filters. you might think that popular tools like fibonacci or order blocks are the way to go because everyone on social media talks about them like they are law. but when i actually ran the numbers through the machine the results were embarrassing and most of those strategies just resulted in negative expectancy. it is a dangerous trap to follow the crowd into a trade just because some guru said a certain level was important when the data shows it is a coin flip at best. the dynamic swing indicator was one of the few that actually held its weight during the recent massive testing sessions we ran. it was pulling in profit factors of over thirty seven with annualized returns that look too good to be true until you see the trade list. we combined it with filters like the adx and the money flow index to see if we could refine the signals and the results were absolutely staggering. when you have a system that can run through forty data sets while you are drinking tea you realize that manual trading is a form of self harm. i realized this after spending hundreds of thousands on apps and devs only to find out that i could just learn to build these bots myself live on the internet. the speed of iteration is the only thing that matters in this game because the faster you can fail the faster you can find the one strategy that actually prints. one of the biggest hurdles i faced was thinking that i needed to be a math genius or a senior engineer to automate my trading systems. the truth is that code is the great equalizer because it allows a regular person to compete with massive hedge funds by using the same logic and speed. i decided to learn everything in public because i wanted people to see the process of losing money with liquidations and then finally finding a path to automation. the reality of the market is that it moves in cycles and what worked yesterday will almost certainly fail tomorrow unless you are constantly testing. that is why i built the agents to automatically look through the results folder and rank the top performers based on a composite score. it takes all the emotion out of the process because i am no longer looking for a reason to enter a trade i am just looking at a csv file that tells me the truth. if you are still drawing lines on a chart and hoping for the best you are basically playing a game of chance against a high speed casino. the transition from a manual trader to a systems builder is the single most important pivot you will ever make in your life. it is not about being right or wrong it is about having a positive expectancy that has been proven across thousands of trades and multiple years of history. i had to fix a few errors in the short selling logic where the agents were getting confused between maximum and minimum values for take profit levels. these tiny bugs are the difference between a winning system and a blown account so you have to be willing to dive into the code and refine the machine. but once the system is tuned and the sub agents are running it becomes a beautiful workflow that functions entirely without your input. we are currently moving through the editors picks and the trending indicators one by one because i want to have a database of every single strategy on the platform. being a data dog means you never stop searching for that edge and you never settle for a strategy that just looks okay on a single chart. you have to demand excellence from your code because the market will not give you a single inch of mercy if you are lazy with your research. the ultimate goal is to have fully automated systems trading for you so you can focus on scaling rather than staring at a screen for ten hours a day. i am already up to over eighty backtests in this single session and i plan on hitting hundreds more by the end of the week. once you realize that you can crack the code of any indicator you see on the internet you will never look at a chart the same way again. this is the power of using agents to bridge the gap between a raw idea and a finished trading bot that actually works in the real world. i am done with getting liquidated and i am done with the stress of over trading because the code handles everything with cold precision. the path to success is paved with data and if you are not willing to automate your process you are just waiting for your next liquidation to happen

Moon Dev

26,010 просмотров • 4 месяцев назад

Clive Lewis's Water Bill - bringing water back to the people 💯 Please watch, listen or read this transcript. Because this is the sort of leadership Labour needs 👏 Clive Lewis MP He even calls for PR 👏 Clive Lewis (Norwich South) (Lab) Margaret Thatcher’s revolution tore up the rulebook on political and economic management. She rewrote it with a single unwavering principle: that the pursuit of profit would serve the public good, even when it came to vital public services—even when it came to water. We often say that society stands on the shoulders of giants, but giants cast long shadows, and Thatcherism’s shadow looms dark over our water system today. Whether we see ourselves standing on her shoulders or trapped in her shadow, one thing is undeniable: she proved that the world can be made differently. And if it can be made differently once, it can be made differently again. That, as the brilliant anthropologist David Graeber understood, is the hidden truth of the world. It is something we create and can choose to create anew. We can do it better. Today, I want to show this House and this country that water is the lens through which we can imagine something better—a better way of running our economy, a better way of safeguarding our environment and a better way of empowering the public, for whom democracy supposedly exists. But that requires something very difficult: it requires us to break free from the constraints of our imagination and to let go of the idea that this economic model is all there is or all there ever could be. It saddens me to say that the Government’s Water (Special Measures) Act 2025 perfectly exemplifies this failure of imagination. One of its leading proponents has a particular rhetorical flourish they love to use when dismissing calls for public ownership of water. They say, “I’m more interested in the purity of our water than the purity of our ideology.” I love that quote. I love it because it lays bare just how deeply the ideology of privatisation, and all that goes with it, has embedded itself. So entrenched is it within our collective consciousness that we no longer recognise it as an ideology. We no longer see it for what it is: a systemic exploitation of a common resource for private gain. Instead, it has simply become the natural order of things. But how much longer can this go on? Since the crash of 2008, this ideology has been faltering under the weight of its own contradictions, yet its grip on British politics remains vice-like. Austerity, exploitation and corporate price gouging are still treated not as choices but as inevitabilities. Why? Because too many politicians on both sides of the House refuse to contemplate alternatives. For those on the other side of the House—on the Opposition Benches—I get it: this is their ideology. They are defending their class, and I would imagine they would go further still if they could. But on this side of the House, we have no excuse. We should be standing up for our class: working-class people—the public. Instead, we wrap their ideology in the language of fiscal responsibility, economic prudence and stewardship of the economy. But it is not fiscal responsibility when we balance the books on broken backs. It is not stewardship when the ship has been sold off and the crew left to drown. It is not prudence. It is power maintenance. Neil Coyle (Bermondsey and Old Southwark) (Lab) I hope the engineers can check that the microphones and speakers are working while I ask a quick question. My hon. Friend mentions Members on this side of the House. There are far more of us on this side since July last year than there were in 2019, with a very different approach taken in our manifestos. Does he fear that the shift in tone he is suggesting is one of the reasons that we did so badly in 2019 but so well last year? Clive Lewis No, I do not. We have a distorted electoral system. Bring on proportional representation, because if we had PR, we would have had a different Government in 2019 and most definitely in 2017. Sometimes politicians have to do what they believe to be right and lead from the front. I think we should lead from the front. Jeremy Corbyn (Islington North) (Ind) I compliment the hon. Member on his Bill. To help his argument, there was overwhelming opinion poll support for public ownership of water in 2017 and 2019, and there still is today. Clive Lewis I thank the right hon. Member for his point. I will come on to this later, and I hope other Members will pick up on it, but the fact that the public are way ahead of this House on the issue of public ownership is one of the reasons why so many people are losing faith in the two-party political system. One only has to look at some political parties whose Members are not in their place—at the Reform party, for example, which has a policy of public ownership of water. Yes, its Members will privatise the NHS, but they understand how popular this is, and they are ahead of the curve—they are ahead of us on this side. Neil Coyle Really? Clive Lewis On the issue of water, yes, I would say they are, because whether I like it or not, Reform has a policy for water to be owned 50% by pension companies and 50% by the public. As much as it grieves me to say it, that is a policy of public ownership. They are populist; they are listening to a popular voice. Mr James Frith (Bury North) (Lab) Will my hon. Friend give way? Clive Lewis I will make some progress and then give way, and I will also try to keep the volume down a little bit. This is about the maintenance of a political and economic model that was never built to serve the public—a model designed to shield the wealth of asset holders, landlords, shareholders, corporations and, yes, privatised water companies. But here is the great irony: the very greed, recklessness and contempt of the water industry—its excesses—have cracked open the door, and through that crack, we glimpse an opportunity. It is an opportunity to shatter the myth of privatisation’s inevitability, to break free from the narrow, self-imposed rules that have caged our Government’s economic choices, to expose its failures, to challenge its dominance and, above all, to show this country that there is an alternative—an alternative that is democratic, sustainable and run in the interests of the many, not the few. We can do it better. Mr Frith My hon. Friend is making a typically impassioned speech. He says the general public are ahead of us. Where might that same public be when faced with the bill for bringing in the nationalisation he is clearly wedded to? Furthermore, in the event that we do not have to buy the water industry but seize it, the implications of that seizure will cause an economic collapse. At what point will he take responsibility for either of those scenarios when confronting a public who are, he says, ahead of us on this issue? Clive Lewis I will obviously come to many of those points later in my speech, but let me make this point now: I do not believe in nationalisation, and this Bill has nothing to do with nationalisation. This is about giving the public a say over their water. It is about governance, standards and democracy. Mr Frith Will my hon. Friend give way? Clive Lewis No, my hon. Friend has made his point. Mr Frith On this point? Clive Lewis No, I am going to carry on and make some progress. You made your point. Let the public— Madam Deputy Speaker (Ms Nusrat Ghani) Order. Mr Lewis, I do not believe I was making a point at all. Clive Lewis My apologies, Madam Deputy Speaker; I should have said that my hon. Friend made his point. The clock is ticking. The climate crisis is no longer a distant warning. It is our lived reality. Rising droughts, creeping desertification, depleted aquifers, wildfires, systemic collapse—these are no longer projections; they are the forecast turned fact. Preparing for this future and adapting to what is now inevitable has never been more urgent. The evidence is sobering. The UK’s water resources are under mounting pressure and not just from the climate emergency, but from rising demand and population growth. Experts now project that England could face significant water supply deficits as early as 2034 unless we act decisively. That is not a distant horizon; it is a little over a decade away. But while the threat has grown, our resilience has shrunk, because while the climate crisis has intensified, our water infrastructure has stood still, or, worse, been sold off, hollowed out and left to rot. In the 35 years before privatisation almost 100 reservoirs were built; in the 35 years since privatisation, not one major English reservoir has been built. But it gets worse, because in that same period private water companies have sold off 25 reservoirs without replacing one. Instead of investing in resilience, they have extracted value: £72 billion paid out in dividends while pipes leak, rivers choke, and the public pays the price. My hon. Friend the Member for Bury North (Mr Frith) asks how we can afford it; how can we not afford it? That is not mismanagement; it is a betrayal. If scientists tell us the climate crisis is an existential threat to humanity and to this country— Grahame Morris (Easington) (Lab) Will my hon. Friend give way? Clive Lewis One second. If scientists tell us the climate crisis is an existential threat to humanity and to this country, we must treat it as such: an existential conflict. In that context, the actions of these companies—selling off reservoirs, failing to invest, polluting our water—are not just negligent; they are acts that actively undermine our national water security. In any other existential crisis, we might call that what it is: sabotage. And in a time of national peril, sabotage has another name: treason. Let me explain why this matters to me personally. When I served on tour in Afghanistan back in 2009—not in a boy band—I experienced something utterly alien to me: the gnawing fear of thirst; not the mild irritation of forgetting a water bottle, but the deep physical worry that there may not be enough clean water to get through the day. In Britain, we have been blessed: water falls from the sky; it fills our rivers, it soaks our fields, and we joke about it—it is part of who we are. But in Afghanistan there was no humour; only heat, dust and desperation. There I saw children trekking miles through the desert, not for food, not for money, but to beg for clean bottled water. Once we have seen that, and once we have felt that fear, we can never take water for granted again. We never again believe it is something we can waste or pollute or privatise without consequence. That is why I have brought forward this Bill: because anger is not enough; outrage, no matter how justified, will not fix the pipes, stop the sewage or fill the reservoirs. We need a plan. We need a strategy. We need a future. We can do it better. My Water Bill delivers that. It sets out the high standards our country deserves and the democratic governance our water system desperately needs. First, it establishes clear, ambitious targets to stop the sewage in our rivers and on our beaches, to restore our water to high ecological and chemical standards, and to deliver universal, affordable access to water as a basic human right—a right we have never had before in this country. It demands a system designed not just to extract profit but to adapt, to build resilience in the face of climate change, and to harness nature-based solutions that work with the environment, not against it. Secondly, it transforms governance. The Bill introduces representation for workers and local communities on the boards of water companies. It gives voting rights to employees and customers, so that those who use and maintain a system have a real say in how it is run. Water is not a commodity but a common good, and those who depend on it and pay for it should help govern it. Thirdly, the Bill lays the foundations for a democratic future. It establishes a commission on water ownership to advise the Secretary of State on long-term strategy, looking at international best practice, especially in OECD countries, where public water ownership is the norm, not the exception. Crucially, it creates a citizens assembly on water ownership to bring the public into the process, to deliberate, debate and decide how we can govern this most precious of resources. The public care, but how do I know that? I know because a small fraction of them are in the Public Gallery today, having travelled here from all over the country; I know because of the thousands of emails that have been sent to MPs across the House; and I know because those people will never stop campaigning until this injustice is resolved. They know that we can protect something not by selling it off, but by standing up for it, involving people in its care and ensuring that it serves the public, today, tomorrow and for generations to come. My Bill offers a pathway out of crisis. It offers control, resilience and democracy. It is not just about cleaning up our rivers, but about cleaning up the system that allowed them to be polluted in the first place. Privatisation is not just a problem—it is the problem. We can do it better. I can hear some people on the Labour Benches thinking, “But we have just passed”— Dawn Butler (Brent East) (Lab) You can hear thinking? Clive Lewis I can now—for my next trick, I can hear thinking! I can hear them thinking, “But we have just passed the Water (Special Measures) Act 2025, Clive, so what are you talking about?” Yes, we have, but I am afraid to say it has been watered down—[Interruption.] Sorry, I had to get that one in—it was all going so well. The Act does not live up to what was promised, it does not deliver what is needed, and it certainly does not live up to its name. Do not get me wrong: it is a start. Grahame Morris I congratulate my good and hon. Friend on making an excellent speech and on advocating for public ownership of water and the opportunity to make things better. Does he agree that the mismanagement of the water companies under privatisation is a huge indictment of the whole principle? In my area, bills are way above inflation and huge dividends are being paid by borrowing money. At the very least, should our Government not be looking at stopping the payment of bonuses and share dividends while sewage pollution continues, and we have appalling mismanagement of the industry? Clive Lewis I thank my hon. Friend for his question. I agree with him wholeheartedly and I am just about to come to that point in relation to what the Water (Special Measures) Act does and does not do. It addresses some of those points, but as we have already discussed, privatisation is not just a problem, but the problem, and it is a big part of why so much has gone wrong. Unfortunately, the Water (Special Measures) Act does not live up to what was promised or what is needed, and it certainly does not live up to its name. However, it is a start, and I praise my colleagues on the Front Bench, including the Under-Secretary of State for Environment, Food and Rural Affairs, my hon. Friend the Member for Kingston upon Hull West and Haltemprice (Emma Hardy), who has done so much work in this area. Unfortunately, the Act is not a solution. Remarkably, my Government’s Water (Special Measures) Act does not even define what clean water means. There are no standards or targets—just vague intentions handed over once again to a regulatory system that has already failed us and to the companies that caused the mess in the first place. It says nothing about better governance, and absolutely nothing about the big, fat, humongous elephant in the room: who owns our water? If we do not deal with ownership, we cannot deal with accountability. If we cannot deal with accountability, we can forget clean water. No—we must go further on clean water standards, corporate accountability and what happens when companies fail. Noah Law (St Austell and Newquay) (Lab) Does my hon. and gallant Friend accept that there is increased accountability in the Water (Special Measures) Act through the fact that many companies in the industry are now rewriting their articles of association to ensure that they are accountable not just to shareholders, but to the customers and users of water? Clive Lewis After 35 years of abject failure, it is too little, too late. My Bill would put the final nail in the coffin of this sorry chapter of our country’s water and water system. Neil Coyle Sticking with the puns, I commend my hon. Friend on his gallons of passion; he is always making waves. He criticises the Government’s legislation, which is obviously not yet in effect, but does he think that the Cunliffe commission will go any way towards addressing some of the concerns he has outlined? Clive Lewis Unfortunately, I do not, because again the elephant in the room—who owns our water—has been ruled out of the Cunliffe commission’s operational process. It cannot actually look at that issue. I have no issue with Sir Jon Cunliffe, but let us not forget that he originates from the Treasury—he probably has Treasury brain. That economic orthodoxy is part of the reason why we are in the place that we are. I do not have so much confidence in the Cunliffe commission, but I do have far more confidence in the People’s Commission on the Water Sector, which is being run by academics and which will report at the same time. I will be very interested to hear what it says. Neil Coyle Will my hon. Friend give way? Clive Lewis Those are the reasons why I have brought forward this Bill. The Government’s Act does none of those things, but my Bill does. Take just one example— Madam Deputy Speaker (Ms Nusrat Ghani) Order. I believe Mr Lewis probably cannot hear interventions, because he is so loud himself. Members should intervene loudly if they wish to intervene. Clive Lewis I did hear the intervention, but I wanted to make some progress. Take this one example. Under this Bill, if a water company breaches the terms of its licence with a major sewage discharge, it can forget shareholder payout and piling on more debt. If it does it twice, it is in the last chance saloon. After three strikes, it is out—licence terminated and on its bike—and those price-gouging, asset-stripping, river-killing vulture capitalist outfits will be rolled into the sunset without a penny in compensation. What about those water infrastructure assets that they have been sweating for private gain? They go back into the public realm, thank you very much. If they start whining about debts, do not worry: we will do a full audit of what they invested, what they racked up in debt, what they paid out in dividends and what they stuffed into bloated executive pay packets. I will tell you this, Madam Deputy Speaker: I am yet to see a single privatised English water company walk away with anything other than a well-earned spanking and a sharp haircut for its creditors. Those assets will belong to the public once again, and we will not pay a penny more than they are worth. I can hear people thinking, “Where will the money come from? How will you invest in publicly owned water without the private sector?” I will tell them where it has not come from in these past 35 years—I am mind-reading again. Mark Ferguson (Gateshead Central and Whickham) (Lab) Will my hon. Friend give way? Clive Lewis I will just make some progress, and then I will give way. I am on a roll. Let me tell the House where the money has not come from for these past 35 years. It has not come from private shareholders or long-term thinking, and it certainly has not come from some mythical well of benevolent capitalism. The private companies have put in less than nothing; in fact, they have racked up more than £60 billion in debt. Thames Water has paid more than £7.2 billion in dividends since privatisation, and is now £15.2 billion in debt and counting—work that out. Now, it is trying to plug the hole with a £3 billion emergency loan that will cost 10% in annual interest. That is more than half a billion pounds a year, just for interest payments, courtesy of our bills. That money will not build a reservoir, fix a pipe or clean a river, but it will keep a rotten system afloat for a little longer. Noah Law My hon. and gallant Friend makes an impassioned case for public ownership—something that, in the right context, I am sure Members on all sides of the House can celebrate. On the point about the cost of financing to the public, though, does he agree that while there are some serious indiscretions in parts of the industry, such as in Thames Water’s case, this conversation about the appropriate financing model would be better entertained at a time when the cost of capital in the private water industry was not lower than the cost of public sector borrowing, on which, of course, we are in a very difficult situation? Clive Lewis The cheapest borrowing in the country, without a doubt, is public sector borrowing. The private water industry, which has had 35 years to sort this mess out, is not going to find investment. It is up to its eyeballs in debt. It is relying on a 50% increase in our bills by 2030, if we include inflation, and that is in the middle of a cost of living crisis. How can we justify that? The answer is that we cannot. Mr Frith The day after the seizure of public assets that my hon. Friend is describing, billions and billions of pounds of debt will come with it. What does he propose to do with that debt, other than refinancing, which is exactly where we are at now with the industry requirement to refinance the debt to try to keep bills down? Instead, he is advocating that the public purse take on that private debt. Clive Lewis At the beginning of my now seemingly rather long speech, I think I referred to a failure of imagination. Ask what Margaret Thatcher would have done when she was faced with similar problems. She would have fought her way through it. She changed the very fabric of our economy, our democracy and our politics, and she made it work. We can do the same, because the public are behind us. They want this to work. Mr Frith rose— Mark Ferguson rose— Clive Lewis I will make some progress. Let us recap, because I do not want to go on too long; I want to conclude, if I can. That money from Thames Water—that half a billion pounds in interest payments—will keep a rotten system afloat for just a little longer. The myth of privatisation is that the private sector will act in the long-term interests of the British public because it wants to turn a profit. That is preposterous, as is proven by the state of our water, and exhibit A is Thames Water. We can now turn to the question of where the investment will come from. Under public ownership, it will come from the only place it ever should have—from us, the public—and every penny of it will go back into the system. It will go into the pipes, the rivers, the seas we swim in and the water we drink. There will be a direct relationship between what we pay and what we get, with no offshore dividends, no bloated bonuses and no debt-laden shell games—just clean, accountable, democratic water. When I was in Afghanistan, every soldier had one critical duty: to stay hydrated. To dehydrate was considered a military offence, because it put the soldier and their team at risk. If someone ran out of water, we did not debate markets or metrics; we shared what we had. We had each other’s backs. As the desert-dwelling Fremen in James Herbert’s novel “Dune” believed: “A man’s flesh is his own; the water belongs to the tribe”. It is time our water returned to the tribe, to the people, to the public. We can do better; we must, and with this Bill, we will. I commend it to the House.

Farrukh

24,528 просмотров • 1 год назад

Made $530,000 with Ai Bot that started with $313. Didn't know how to code. Now this bots run 24/7 printing money while sleeping. I've made the exact step-by-step guide to build this Claude Code Polymarket trading bot. Prompts. Code. Risk settings. Paper trading checklist. Everything from zero to running bot. It's free. For 24 hours. After that I'm charging $499 for it. To grab it right now: 1. Comment "Claude Bot" 2. Like and Retweet this post 3. Follow me Himanshu Kumar ( I can't send DMs to non-followers ) I'm DMing everyone who Complete the 3 steps. I spent hundreds of thousands hiring developers because he was too scared to learn. Then learned Claude Code. Built algorithmic trading systems. $313 → $530,000. You have the same tools available right now. And you're using them to ask ChatGPT for Instagram captions. This attached video is a goldmine. Full live walkthrough. Claude Code building actual Polymarket trading bots. From zero. Every line of code. Every decision explained. 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This trade. You don't want to spend a week building a bot. You don't want to paper trade for 2 weeks. You don't want to test 50 ideas to find 1 that works. You want to copy someone's bot, run it live with your rent money, and be rich by Friday. That's why you'll be broke by Friday. The guy making $2.3M spent months iterating. Testing. Failing. Rebuilding. Testing again. He was patient when you would have quit. He was calm when you would have panicked. He was consistent when you would have given up. Patience isn't just a virtue in trading. It's the only virtue. Without it, everything else fails. Impatience is the most expensive personality trait in trading. Save this post. Follow Himanshu Kumar and learn to build systems with the patience that actually pays. ↓ The live streams where the real learning happens. The YouTube video is the trailer. The live streams are the movie. Real-time bot building. Real-time questions answered. Real code shown. Real mistakes made and fixed. Not polished highlight reels where everything works perfectly. Actual development. Where things break. Where strategies fail. Where code doesn't compile. Where the fix takes 2 hours. Because that's what real development looks like. And seeing the messy parts is more valuable than any polished tutorial. Because when your bot breaks at 3 AM, you need to know how to fix it. Not just how to celebrate when it works. The streams mix beginner and advanced. Start with how to automate trading. How to use AI for code generation. Then dive into the daily work. Claude Code. Parallel agents. Constant iteration. Live debugging. 4-8 hours of real algorithmic trading development. Live. Uncut. No filter. Most "trading education" shows you the wins. This shows you the work. Save this post. Follow Himanshu Kumar for the stream schedules and breakdowns. ↓ The belief that changes everything. Code is the greatest equalizer. Not money. Not connections. Not a degree. Not where you grew up. Not what school you went to. Code. Once you can build systems, you can build anything. For the rest of your life. A trading bot today. A SaaS product tomorrow. An automation business next month. A completely different life next year. The skill isn't "algorithmic trading." The skill is building systems. And that skill transfers to everything. The guy who can build a trading bot can also build a lead gen tool. Can also build a content pipeline. Can also build a SaaS product. Can also build literally anything that runs on logic and code. One skill. Infinite applications. And AI makes learning it 100x easier than it was 5 years ago. You don't need to be smart. You don't need talent. You need Claude Code and the willingness to sit down and build something instead of consuming content about building something. Building is the skill. Everything else is entertainment disguised as education. Save this post. Follow Himanshu Kumar because I'm showing you how to build, not just how to watch. ↓ If any of this applies to you, pay attention. If you've lost money from overtrading. If you've been liquidated. If you know trading is the vehicle but manual execution keeps crashing you. If you've tried "being more disciplined" and it never lasted more than a week. If you keep saying "next month I'll start automating." If you've spent more money on courses than you've made from trading. There is a better way. It's not a magic indicator. It's not a signal group. It's not a $997 mentorship from a guy who makes money teaching, not trading. It's building your own system. A system that trades without emotion. A system that follows rules without exception. A system that runs while you sleep. A system that compounds while you live your life. That's the answer. It's always been the answer. You've just been too scared to accept that the solution requires building something instead of buying something. ↓ What the next 30 days look like if you actually commit. Week 1: Watch the video. Learn Claude Code basics. Build your first simple strategy. Run your first backtest. Week 2: Iterate. Let Claude improve the strategy. Run Monte Carlo validation. Paper trade. Week 3: Go live with $50-100. Tiny positions. Watch every trade. Compare to paper results. Week 4: Scale based on evidence. Not based on excitement. Not based on one good day. Based on data. 30 days from now you either have a running bot that trades without your emotions destroying every position. Or you're exactly where you are right now. Reading another post. Making another promise. Breaking it by Tuesday. Same 30 days either way. Different actions. Different results. Different life. ↓ Full video tutorial attached. Live bot building with Claude Code. From zero to running Polymarket trading bot. Every line of code. Every decision explained. The video is free. Claude Code is available now. The market is open 24/7. The only thing standing between you and a profitable trading bot is the same thing that's been standing there for months. You. Get out of your own way. Follow Himanshu Kumar for daily AI trading bot breakdowns, live build sessions, and the full RBI process. Save this post. Watch the video. Build the bot. Or keep trading manually and keep losing. The choice has never been easier. And you've never been more stubborn about making the wrong one.

Himanshu Kumar

37,367 просмотров • 3 месяцев назад

In 2016, Marvell's largest design win was a Wi-Fi chip in the Barbie Dream House (Save this). That is a documented fact about one of the most remarkable corporate transformations in semiconductor history. Ten years and $36 billion in acquisitions later, Marvell is now the company that Jensen Huang invites onto the COMPUTEX stage, the same stage where he announced a $2 billion strategic investment into the company. Over 75% of Marvell's revenue today comes from data centers. To understand what Marvell actually is now, you need to understand what Matt Murphy did when he walked in as CEO in 2016. The company had stagnant growth, governance scandals, and a business model built around chips for hard drives, printers, and consumer electronics, exactly the wrong place to be as the cloud era was beginning. Murphy made a ruthless decision to kill every low margin consumer business and go all in on data infrastructure. Then he went shopping. 2018 - Acquired Cavium for $6 billion, bringing ARM-based network processors and the foundation for cloud infrastructure compute. 2019 - Acquired Avera Semiconductor, formerly IBM's custom silicon team, which gave Marvell the ability to design bespoke ASICs for hyperscalers. This is what opened the door to Amazon, Microsoft, and Google design wins. 2021 - Acquired Inphi for $8.2 billion, securing leadership in high-speed optical interconnect, the technology that moves data between and within data centers at the speed of light. 2021 - Acquired Innovium, adding cloud-optimized Ethernet switching to the portfolio. 2025/2026 - Acquired Celestial AI for $3.25 billion, bringing photonic fabric technology that places optical connections directly inside the chip package itself. Each acquisition followed the same formula, buy the technology that will be absolutely essential in the next generation of computing before anyone else is paying attention. Now here's the vision Murphy laid out at COMPUTEX 2026, and why it's the most important thing he's ever said publicly. He made one central argument, AI scaling is no longer limited by compute or memory but rather limited by connectivity. Training a frontier model requires tens of thousands and eventually millions of processors working as a single engine and making that happen is a connectivity problem above all else. Today, data centers are constrained by copper. Copper traces connecting chips inside a server can only move data so far, so fast, before bandwidth collapses and latency rises, that's why today's AI servers have to bundle everything, CPUs, GPUs, memory onto the same physical board sitting centimeters apart. When you replace copper with optics, distance disappears entirely. An optically connected server rack can communicate with another rack in a different building at the same bandwidth and latency as if they were the same machine. Memory can sit in one physical location, compute in another, networking in a third and a software orchestration layer composes the exact ratio the workload needs, on the fly, in real time. Murphy called this a data center without distance, a globally optically interconnected infrastructure where the rigid physical boundaries of today's servers begin to disappear entirely, and data centers function as one unified system. That is not a 10 year vision because Marvell's CPO (co-packaged optics) products are sampling in 2027 with volume shipments beginning 2028. Nvidia's Vera Rubin platform has already adopted Spectrum-X Ethernet Photonics, the first CPO switch in commercial production. The reason this makes Marvell's TAM almost impossible to cap is the following. Right now, Marvell's addressable market is the optical interconnect market, a segment projected to be worth $200 billion per year by end of decade. But if the data center without distance architecture actually materializes and the evidence suggests it will, then Marvell's TAM is not just the optical interconnect market but rather every connection in every data center on earth. Bullish on Marvel! Come join Milk Road Pro for just a $1, If you want the full Marvell breakdown on where it sits in our AI infrastructure portfolio, and our entire AI thesis. Link below!

Milk Road AI

21,550 просмотров • 1 месяц назад

I Spent $100k On Developers Before Learning This: Build Your AI Bot Today the blueprint to building your first ai trading bot without a degree or a single clue where to start is hidden in plain sight. most people think you need a stanford degree or some crazy math background to build these systems but i spent ten years in tech scared to code for that exact reason. i thought it was only for the geniuses and the nerds while i was just a guy who played video games and wanted his time back the reality is that code is the great equalizer because it doesn't care who you are or where you came from. i lost hundreds of thousands of dollars hiring developers who did shoddy work and i lost even more through liquidations and over trading because i was too emotional to follow my own rules. i knew i had to automate everything if i wanted to survive this game so i decided to learn live on youtube and iterate my way to success everyone is looking for the holy grail indicator that prints money while they sleep but they are looking in the wrong place. the real secret isn't a magical line on a chart but a process i call the rbi system which stands for research backtest and implement. most traders fail because they try to build a bot before they even know if their strategy worked in the past which is basically just gambling with extra steps you have to start with deep research into a strategy like supply and demand zones where you buy where the banks buy and sell where they sell. once you have a solid idea you must backtest it against years of data to see if it actually has an edge. if it doesn't work in the past it definitely won't work in the future but if it shows promise then you move to the implementation phase with small size there is a hidden cost to automation that can wipe out your profits before you even place a trade if you aren't careful. i found myself overusing api credits and running up a massive bill just to fetch wallet balances and token lists. if your bot is calling the exchange every five seconds just to see how much money you have you are essentially burning cash for no reason you can use ai tools like cursor to help you write the python code even if you are a total beginner. i still use ai to explain complex functions and identify where my code is being inefficient or chewing through credits. i had to refactor my entire dashboard and timer logic to only check balances every thirty minutes instead of every few seconds to save those precious credits the man who made thirty one billion dollars in the markets had one rule he never broke throughout his entire career. jim simons was the greatest algorithmic trader to ever live and he proved that systems will always beat human intuition over a long enough timeline. his secret wasn't some complex formula that no one else could understand but a commitment to a specific way of thinking simons always said you just have to make your systems better and better because that is what everyone else is trying to do. the game never really ends because the markets are always evolving and your edge will eventually decay if you don't iterate. this is why i build in public and show every step of the process because the iteration is where the actual money is made the reason you get liquidated isn't the market or the whales or some conspiracy against your small account. the real reason is the conversation you have with yourself at two in the morning when you are down on a trade and decide to move your stop loss. humans are built for survival not for trading and our emotions like fomo and fear will always sabotage our results when you automate your trading you are essentially signing a non negotiable contract with yourself that the bot will execute without question. if the plan says to sell fifty percent in an uptrend and ninety five percent in a downtrend the bot does it every single time. it doesn't feel the panic when a red candle drops or the greed when a green one spikes it just follows the code i used to spend all day staring at screens chasing bars up and down thinking that more screen time equaled more profit. i got into trading to get my time back but i ended up becoming a slave to the charts until i finally learned to code. now i have fully automated systems trading for me instead of getting liquidated because i removed the weakest link in the system which was me you don't need to spend ten years learning how to code before you can start building your own trading bots. if you spend three to six months getting the gist of python and using ai to bridge the gap you can start building immediately. start with a simple supply and demand bot that looks for major coin trends and only enters when the odds are heavily in your favor by checking the trend of bitcoin ethereum and solana simultaneously you can ensure you aren't fighting the overall market direction. i look for at least two out of those three to be trending before my bot is even allowed to look for an entry. this simple filter alone can save you from thousands of dollars in paper cuts during choppy sideways markets if you can't fly then run and if you can't run then walk but by all means you must keep moving toward automation. the process of taking an idea out of your brain and putting it into a system is the most secretive and valuable skill in the world. don't follow the pack and try to solve the same problems as everyone else but find your own edge and code it into existence the deal you make with yourself at the start of your journey is what determines if you will actually make it or not. i made a contract with myself to learn live and show everything because i believe that transparency is the only way to truly learn this craft. stick to your plan and iterate every single day because the systems you build today are the equalizers that will change your life tomorrow

Moon Dev

11,726 просмотров • 5 месяцев назад

POST OFFICE KNEW ITS TILL BUTTON WAS ROBBING PEOPLE SINCE 2019 A subpostmaster called Denis O'Donnell messaged me on LinkedIn. He follows this page and asked me to help amplify a story he has spent six years trying to get anyone to take seriously. After checking it out I understand why he is still fighting. In 2019 O'Donnell ran a Post Office branch in Prestatyn, Wales. He noticed something wrong with the till. A screen icon on the Horizon system does two opposite jobs, take money and pay money. When several transactions stack up together, Horizon can hand cash to a customer and then log it as a payment the other way, creating an instant shortfall the subpostmaster gets blamed for. O'Donnell wrote to the top. He sent letters to then CEO Nick Read and communications boss Mark Davies. Post Office's answer was that it was a one off mistake, fixed within days. Convenient timing too, since this was 6 months after Post Office had just been humiliated in the High Court by subpostmasters who proved Horizon was faulty all along. O'Donnell kept pushing for years. He eventually got the story to ComputerWeekly and its reporter Karl Flinders Karl Flinders, and to Ron Warmington, the forensic investigator at Second Sight who was one of the original people who blew open the whole Horizon scandal back in 2012. Warmington called this new defect sufficiently serious to write directly to the public inquiry. He also called Post Office's first response to questions about it arrogant and dismissive, which by now is basically the company's official slogan. Post Office finally agreed to investigate and warn branches in December 2025. Six years after O'Donnell first told them. Their own spokesperson said it is impossible to know the true impact but they believe it is limited, based on checking 1 year of error logs out of more than 24 years Horizon has been running. O'Donnell calls that maths a joke, and it is hard to disagree when millions of transactions across two and a half decades got reduced to a single year sample. O'Donnell is trying to warn other subpostmasters and their families that the Post Office Process Review scheme closes to new applications on 30 September 2026. This scheme covers losses caused by Post Office products, policies or processes, separate from the Horizon Shortfall Scheme which already closed in January and the GLO scheme closing this month. If people affected by this specific defect do not apply before the deadline, they may lose the chance entirely. Post Office spent over two decades telling subpostmasters the system never lies. Then it spent six more years telling one particular whistleblower his bug did not matter. Forgive people for not trusting the next apology on the first read. If you are a current or former subpostmaster affected by this or unsure about the Process Review deadline, get proper advice before it closes. SOURCES ComputerWeekly Karl Flinders Post Office Post Office Horizon IT Inquiry BBC News (UK)

Artur Nadolny

47,327 просмотров • 8 дней назад

The 40,000% ROI "Bug": How Claude Code Cracked the TradingView Holy Grail most people think the elite traders at the top of the mountain have some secret indicator or a hidden math formula that gives them a forty thousand percent return. they assume the game is rigged against the small player and that you need a multi million dollar budget just to get a seat at the table. the truth is that the holy grail of trading is actually hidden in plain sight inside a community tab that most people scroll past every single day i spent years losing money to liquidations and over trading because i thought i had to manually predict where the price was going next. i even spent hundreds of thousands of dollars on developers to build apps for me because i was convinced that i would never be able to code the systems myself. it turns out that once you stop trying to be a genius and start using the tools that are already available you can crack the code to unlimited trading strategies the secret is not in a single indicator but in the process of research back test and implement. if you go to the community section of trading view you will find an endless stream of source code for indicators that people have built over decades. most traders just slap these on a chart and hope for the best but if you are a data dog like me you know that a chart is just a pretty picture that lies to you i believe that code is the great equalizer because it allows us to take these public ideas and turn them into fully automated systems that trade for us while we sleep. i decided to learn to code live on youtube to show everyone that you can iterate your way to success without being a math wizard or a stanford graduate. now i have fully automated systems that manage my capital instead of getting liquidated by emotional decisions in the middle of the night the biggest trap in the trading world is something called repainting and it is the reason why so many strategy back tests look like they are printing money when they are actually just a scam. repainting happens when an indicator looks at future data to tell you what happened in the past which makes every buy and sell signal look like a perfect entry at the top and bottom. if you trust a back test on a basic chart without understanding the logic underneath you are just building a house on a foundation of sand this is why i transitioned all of my serious work into python because python does not lie to you. in python you can control the data flow tick by tick and bar by bar to ensure that no future data is leaking into your strategy. i built a back test architect which is a specialized sub agent that knows exactly how to take a simple idea and test it against twenty five different data sources all at once when you run a strategy across btc eth apple google and tesla you start to see the real truth about whether a strategy has an edge or if it was just a lucky fluke on one chart. i saw one strategy this week that showed a one million percent return which sounds like a total lie but the data does not have an ego. even if a number looks insane you have to investigate it and incubate it with tiny size to see if it holds up in the live market you must treat your trading like a business where you are the manager and the code is your team of tireless employees. i have sub agents running for me right now that act as masters of specific tasks like converting pine script into python or optimizing exit logic. if you are not using these specialized ai assistants in your workflow you are essentially trying to build a skyscraper with a hand saw while everyone else is using heavy machinery most people get stuck in the beginner phase because they think they need to write every single line of code from scratch. the reality is that the best developers are just really good at importing the hard work of others and connecting it like lego blocks. i use a library called ccxt that allows my bots to communicate with every major exchange in the world with just a few lines of script which saves me months of development time the reason i show everything live is because the industry is filled with gatekeepers who want to keep the secrets of automation to themselves. they want you to stay as a manual trader who pays high fees and provides liquidity for their algorithms. once you learn to automate you are no longer a victim of the market but a participant in the architecture of the financial system if you are sitting there right now feeling defeated because you just got smoked on a trade or you missed a massive pump you have to realize that those emotions are your greatest enemy. a computer does not feel fomo and it does not get tilted after a loss; it just waits for the next signal that fits the parameters you defined. my mission is to help you get to a place where you can walk away from the screen and let the machines do the heavy lifting learning to code is actually much easier than learning a second language because the syntax is logical and the feedback is immediate. i spent ten years in tech scared to touch a keyboard for anything other than emails because i thought i was not smart enough for engineering. once i realized that code is just logic i was able to build my first profitable bot within a few months and i have never looked back the transition from a manual trader to an algorithmic expert is about building a robust framework for testing your ideas as fast as possible. you want to be able to find an indicator on trading view convert it to python and run it against years of historical data in less than five minutes. if you can do that you have a higher chance of success than ninety nine percent of the people who are just drawing lines on a screen one of the most powerful strategies i found recently combines the squeeze momentum indicator with smart money concepts. when you test these individually they might show a decent return but when you combine them and add a filter like the adx you can find setups that have a massive expectancy. the key is to look for strategies that show positive returns across multiple different asset classes and time frames simultaneously even if a strategy looks like it is printing a forty thousand percent return you must always remain skeptical and look for the catch. i always incubate my new ideas with tiny capital for at least a few weeks to see how they handle real world slippage and fees. a back test is a map of the past but the live market is a wilderness that changes every single day this is why i believe in the rbi method which stands for research back test and implement. you spend your mornings looking for new ideas your afternoons stress testing them with ai and your evenings deploying the winners to the market. it is a systematic approach to wealth that removes the need for luck or guessing what a celebrity is going to tweet next the most successful traders in history like jim simons did not sit around looking at rsi levels on a fifteen minute chart. they built systems that identified mathematical edges and then scaled those systems until they were managing billions of dollars. you do not need thirty one billion dollars to change your life but you do need the discipline to stop trading like a human and start thinking like a system i give away so much for free on youtube because i want to build a community of data dogs who are all chasing the same goal of financial freedom through automation. when we work together and share our findings we can collectively identify edges that nobody else is looking at. the world is moving towards an ai dominated economy and if you are not learning to control the machines you are going to be controlled by them the road to automation is not a straight line and you will run into bugs that make you want to throw your computer out the window. but every time you fix an error and every time you optimize a script you are getting one step closer to a life where you own your time. code really is the great equalizer and it is waiting for you to pick it up and start building your own future if you can fly then run and if you can run then walk but whatever you do you must keep moving forward in this journey. trading can be heartless but the logic of code is always fair and consistent. stop being the liquidity for someone else's bot and start building the walls that will protect your capital forever

Moon Dev

245,471 просмотров • 5 месяцев назад

Why Opus 4.6 Is The Final Boss Of Algorithmic Trading (Full Bot Build) the day of the human trader is officially over and most people are still staring at charts like it is 1995. wall street is terrified because the barrier to entry just got deleted by a piece of software that can outthink a stanford graduate in seconds. they want you to believe that you need a multi million dollar education to compete with the big banks. they want you to stay stuck in the cycle of emotional trading and leverage because that is how they pay for their hamptons houses. but there is a specific reason why every retail trader is about to become obsolete unless they pivot right now. i am going to show you exactly why your current strategy is a mathematical death trap and how a single jump in technology just changed the game forever every time you sit down at your computer to draw lines on a chart you are entering a gunfight with a toothpick. the institutions have been using high frequency algorithms for decades while you are trying to guess which way the candle is going to move based on a feeling in your gut. it is not a fair fight and it was never intended to be. last year we were looking at models that could barely handle basic logic but now the intelligence has scaled to a point where the machines are finding edges we did not even know existed. there is a ghost in the machine that is pulling out strategies with sharp ratios so high they look like typos. if you do not understand how to harness this power you are essentially donating your capital to the people who already have too much of it i spent hundreds of thousands of dollars on developers because i was too scared to learn how to code myself. i thought that being the idea guy was enough and that i could just hire people from upwork to build my dreams. i got rinsed for years paying for apps and bots that did not work because i did not have my hands on the wheel. it took losing a massive amount of money through liquidations and over trading to realize that nobody was coming to save me. i had to become the person who could build the systems or i was going to be another statistic in the graveyard of traders who thought they were smarter than the math. once i finally sat down and forced myself to understand the syntax everything shifted and the world became a giant playground of data the truth is that code is the great equalizer because it does not care where you came from or what school you went to. i got held back in seventh grade and my teacher told me i would not make it around here. that kind of talk is meant to keep you in your place but the computer does not have a bias. if you can write the logic the system will execute it exactly as told regardless of your background. we are living in a time where a kid in a basement can build a system that rivals a hedge fund because the big tech companies are subsidizing our intelligence. they are spending hundreds of billions of dollars on infrastructure and we are the ones who get to reap the rewards of their competition most people fail in this game because they fall in love with a single idea and refuse to let it go even when it is burning their account to the ground. they spend months or years trying to make one indicator work when the data clearly shows it is trash. you have to drop the ego and realize that your intuition is probably your biggest liability. the secret to winning is iterating to success by testing a hundred ideas until you find the one that actually sticks. i call it the rbi system which stands for research backtest and implement. if you skip any of these steps you are just gambling with extra steps and the house always wins in the end research is where most traders get lazy because they just want a magic bot that prints money while they sleep. they go to youtube and find some guy promising a ninety percent win rate with a rsi crossover. that is not research that is falling for marketing fluff designed to sell you a dream. real research happens when you dive into white papers and study what the quants are actually doing on wall street. you look for market inefficiencies like liquidation clusters and cross exchange discrepancies that are hidden in plain sight. by the time you finish this process you should have a list of ideas that are grounded in reality instead of wishful thinking backtesting is the filter that saves you from losing your life savings on a bad hunch. most people use tools that repaint or give them false confidence because the data is not being handled correctly. if you are using a basic charting platform to see if your strategy works you are likely seeing a version of history that does not exist. you need to use raw python libraries like backtesting py to see the cold hard truth of how your logic would have performed. when you see a drawdown of thirty percent on paper you realize that using ten times leverage would have deleted your account five times over. the math does not lie and it is the only thing that can protect you from your own greed the most dangerous drug in the world is leverage because it makes you feel like a genius right before it makes you a pauper. i have watched two billion dollars get liquidated in a single day because people thought they could predict the bottom with fifty times leverage. the exchanges can see exactly where your liquidation price is and they have every incentive to push the price there to hunt your liquidity. you are playing in a casino where the house can see your cards and they are actively trying to take them from you. the only way to win is to stop playing their game and start using limit orders to save on the fees that are slowly bleeding you dry it is funny how much money people will spend on food and entertainment but they will hesitate to invest in their own education. they will spend a thousand dollars on a weekend out but will not put that same money into learning a skill that could provide for them for the rest of their lives. money is just a tool of exchange and it always replenishes if you are providing value to the world. if you spend your capital on knowledge you are buying back your time and your freedom. i decided to live my life on youtube and build in public because i wanted to show people that a regular guy could do this. now i have fully automated systems trading for me while i sleep and i never have to worry about getting licked by a sudden market move again chasing the greats like jim simons is not about the money it is about the mastery of the system. he ran up a net worth of over thirty billion dollars by doing exactly what we are talking about here. he did not stare at charts all day and hope for the best he built models that exploited the mathematical laws of the market. he was a scientist first and a trader second and that is the mindset you need to adopt. if you are not approaching this quantitatively you are just a gambler who happens to be sitting at a computer. the goal is to become a quant researcher who happens to have robots executing their findings the transition from hand trader to automated builder is the most liberating thing you can do for your mental health. you go from waking up in a cold sweat checking your phone to waking up and checking your logs to see how the system performed. even if the day was red you have data that tells you why and you can use that to make the system better tomorrow. it is a process of constant improvement and refinement that never really ends. you are building a legacy of code that will continue to work for you as long as the electricity is running. i am not afraid to die on a treadmill because i know that i will outwork anyone who is just looking for a shortcut if you are still on the fence about whether or not you can do this just remember that i was exactly where you are. i was losing money and feeling like the market was rigged against me because it actually was. i had to decide that i was going to change my environment and take control of my own destiny. you have the same opportunity right now to pivot and start building your own automated future. the models are getting better every single day and the barrier to entry is lower than it has ever been in human history. you just have to decide to lock in and do the work for a thousand days until you become undeniable there is no better feeling than finding a strategy that has a sharp ratio over ten and knowing that you built it with your own two hands. it is a moment of pure clarity where you realize that you are no longer a victim of the market. you are the architect of your own financial reality and the possibilities are literally endless. i am going to keep sharing everything i find because i believe that we can take on wall street together. as long as i am breathing i will be stepping on the gas and pushing the boundaries of what is possible with code. welcome to the family and let's get after it because the machines are already running and they are not waiting for anyone

Moon Dev

46,677 просмотров • 5 месяцев назад

77 Reasons Why I’ve Invested Over $8,000,000+ in MultiversX (EGLD) and Why EGLD Will Crush It in 2025 (My Investment Thesis). I publicly shared my portfolio on X. EGLD is A) Better than BTC B) Everything that ETH wants to be C) The GameStop of Crypto 1. EGLD is verifiably the most scalable (theoretically unlimited) L1 chain in the world, theoretically capable of over 10 million TPS (thanks to adaptive state sharding). 2. e-Gold is digital gold. It has the best tokenomics among all L1s, similarly scarce to BTC, with a maximum supply of 31.4 million coins. Currently, 27.68 million coins are in circulation. 3. EGLD will be the most decentralized cryptocurrency in the world thanks to sharding and minimal hardware requirements for running nodes. It’s already second only to Ethereum with 3,618 validator nodes. 4. EGLD has extremely low fees, around ~$0.002 per transaction. 5. EGLD is extremely secure. No wallet drains like on ETH/SOL; assets are owned natively (not via a smart contract). There is no MEV risk (front-running bots). 6. EGLD is the only chain in the world with an on-chain Guardian (two-phase verification), making it impossible for a hacker to steal your funds—even if they have your private keys (seed phrase). 7. EGLD is carbon-neutral and eco-friendly, not wasting energy like BTC and other PoW chains. It’s exceptionally efficient, scalable, global, and sustainable. 8. EGLD has the best UX in crypto. Download the xPortal wallet—it’s like discovering Apple in Web3. The interface is simple, flawless, and you barely realize you’re using crypto. Instead of addresses, you use HeroTags. The app features all dApps, everything runs smoothly, and the visuals are beautifully designed. The explorer, web wallet, etc. follow the same high-quality user experience. 9. EGLD supports native assets, unlike Ethereum, for example. 10. EGLD is the first chain to fully implement horizontal (theoretically unlimited) sharding without compromising on decentralization—unlike Solana and others that attempt vertical scaling, leading to multiple network downtimes (11+ times) and huge hardware demands for validators, ultimately harming decentralization. 11. EGLD makes setting up a validator agency extremely easy. Even complete IT beginners can do it. The UX and documentation are superb. I personally set up the “EGLDSqueeze” agency in about 30 minutes. Managing it is straightforward via the web wallet, which feels like managing a Facebook page. This simplifies decentralization enormously. 12. EGLD allows literally anyone (even your grandma) to participate in decentralization, since nodes can run on a Raspberry Pi or a relatively affordable phone. Imagine millions of people worldwide securing the network, validating transactions without even knowing it. This can’t be done with BTC, where setting up profitable mining operations is prohibitively expensive. 13. WASM-Based Virtual Machine: You can write smart contracts in your favorite language, compile them, and run them via the fastest VM in the world. 14. EGLD has been tested at an incredible 263,000 TPS using its sharding mechanism and low hardware requirements. Allegedly, by mid-next year (April), they’ll demonstrate 1,000,000 TPS. (For context: Mastercard handles around 5,000 TPS; BTC handles 5–7 TPS.) 15. EGLD is currently the most advanced L1 in terms of scalability, security, decentralization, UX, eco-friendliness, and tokenomics. It’s the only chain that has genuinely solved the Blockchain Trilemma and is ready to onboard 1 billion people into crypto—users who won’t even realize they’re interacting with crypto. 16. EGLD is perfectly positioned for AI projects—AI agents, AI tools, or a so-called “Truth Machine” that monitors other AIs on-chain, documenting what’s true and comparing different AI outputs (some of which may be censored or biased), ensuring people don’t get confused or scammed in an AI-driven world. 17. The EGLD team is the hardest-working team I’ve ever encountered. I had the honor of meeting many of them personally, and can attest that their pace—even during a bear market—is extraordinary. 18. EGLD’s development team is exceptionally active on GitHub, continually improving their network and actively committing code. 19. EGLD plans to introduce an update reducing block time to 600ms (down from ~6 seconds), which would make the chain essentially unrivaled. 20. EGLD is effectively the only usable L1 in Europe, and the team has direct connections within the EU government—extremely bullish for the project. 21. EGLD provides top-tier on-chain governance not only for the MultiversX (EGLD) protocol but also for DeFi projects (e.g., xExchange, MEX). 22. EGLD plans to expand to the US, likely opening offices in Austin, Texas. This could put them in direct contact with Elon Musk (if it hasn’t happened already), as he’s involved with If he’s done his research, he’d discover there’s simply no better L1 worldwide. 23. EGLD solved fully implemented sharding, perfect tokenomics, and top-tier architecture with just $5M, whereas other chains failed to do so even with $100M+. The second-best sharding network, NEAR, needed $100M, has worse tokenomics, and its sharding isn’t fully implemented yet. Its UX also doesn’t compare. Owning NEAR was like comparing a VW Golf R to a Porsche GT3—EGLD is the Porsche GT3. 24. According to Similarweb, EGLD has significantly high traffic relative to other chains with market caps 100x larger. The market cap vs. web traffic discrepancy is huge, which is a strong indicator of EGLD’s potential. 25. EGLD has the most active and dedicated community relative to its user base, with users who believe in the technology, have full faith in the team, and remain loyal despite price volatility—because they use the chain and know there’s nothing better. 26. Check other chains’ active user counts on X (Twitter) and compare it with the followers of EGLD’s founders and main network accounts, versus those with 30x, 50x, or 100x larger market caps. 27. Visit the MultiversX website to observe the futuristic design and presentation, then compare it to other chains that appear nearly a decade behind in design and branding. 28. EGLD hosts the xDay Global event, showcasing updates, new builders, projects in the ecosystem, and major announcements—similar to Apple’s Keynotes—delivered in a highly professional, goosebump-inducing atmosphere. The next event is in Korea, the second-biggest crypto market after the US. Check out their previous xDay after-movie to see why this is extremely bullish. 29. EGLD is moving forward with plans for the first regulated, audited EU stablecoin under MiCa regulation, made possible by acquiring xMoney, which I view as a “Stripe” for crypto/fiat, offering everything from user solutions to merchant services—potentially the future of payments. 30. Greg Siourouni recently joined EGLD, having been an executive director at SUI Foundation. He’s now co-founder of xMoney Global. xMoney (formerly UTrust, with token UTK) is owned and founded by the MultiversX Labs team. A stablecoin might be introduced soon, which would be massively bullish given xMoney’s roadmap. They recently announced integrations with Binance Pay—both ways. 31. EGLD prioritizes user safety, believing it’s the only feasible approach once the network scales to serve a billion people—many of whom are retail users with little to no security awareness. 32. EGLD offers “Sovereign Chains,” letting you effectively clone their chain without heavy development, set up your own validators, and leverage their unlimited scalability. Any blockchain (ETH, BTC, SOL) struggling with scalability, decentralization, or security could run an ultra-fast, scalable, and secure L2 on EGLD’s Sovereign Chain, meeting top enterprise requirements. No one else has really done this. The Sovereign Chain demo achieved astonishing TPS and has an SDK. 33. No downtime since inception. 34. No shard takeover attacks have occurred. 35. Extremely fast—soon 600ms block time will be in place. 36. ESDTs – The best token standard available: fungible, non-fungible, semi-fungible, DeFi assets—everything is native and highly customizable. 37. Top-tier composability of assets and smart contracts. 38. Integrated DNS at protocol level with HeroTags (nicknames) instead of long addresses. 39. Asynchronous calls are supported. 40. Cross-shard transfers, execution, reverts, and calls are seamlessly integrated. 41. The best staking system in the space. Secure Proof of Stake (SPoS) is far more efficient than Proof of Work (PoW). 42. Built-in Delegation and Staking Provider system, with over 125K delegators. 43. Complete support for liquid staked assets, fostering decentralization rather than centralization. 44. TransferRoles for ESDT and other advanced operations. 45. Composable tasks on-chain for more sophisticated DeFi workflows. 46. MultiTransfer and asset execution within one transaction. 47. Re-entrancy protection is built-in by design. 48. Storage for ESDT assets goes beyond a linear approach, optimizing performance. 49. No integer overflows thanks to integrated safeMath operations. 50. Integrated crypto opcodes in the VM, enhancing security and performance. 51. Support for BigFloats, BigInts, and BigDecimals, enabling advanced financial calculations on-chain. 52. No sandwich attacks, plus front-running and MEV protection. 53. Relayed Transactions, simplifying user interactions and fees. 54. Smart Accounts featuring data tries and multiple built-in functions. 55. Generalized Paymaster solutions, enabling flexible fee models. 56. Subscriptions for recurring or automated on-chain payments. 57. Web2-like usability with Web3 functionality, bridging mainstream adoption. 58. StakingV4 for improved decentralization. 59. Enhanced MEV protection rolling out to safeguard users. 60. Parallel execution is coming soon, boosting throughput. 61. 1 million TPS is on the roadmap, targeted for demonstration. 62. 600ms block time is also coming soon. 63. Reduced cross-shard processing is planned to improve efficiency. 64. ZK everywhere (PI²): “prove everything” approach is coming. 65. AsyncV3 is in development for more complex cross-contract interactions. 66. Scalability enhancements for Merkle Tries or a new data model are being explored. 67. Linear storage on the VM is forthcoming. 68. A dynamic language interpreter at the VM is also planned. 69. Rumors suggest that MultiversX (EGLD) is building a “Truth Machine” on their L1—an essential, game-changing tool for AI verification and societal impact. 70. The entire team features individuals with PhDs in mathematics and physics, and many are former engineers at Google, IBM, and similar companies. 71. Over 56% of the network’s supply is staked, showcasing strong community involvement. 72. More than 6,772,347 accounts have been created on the network. 73. A total of 476,627,710 transactions have been processed on-chain without any outages or hacks. 74. EGLD has built a massive ecosystem over time. While not as numerous in project count as Solana, its market cap is ~100x smaller, yet it has far superior tokenomics and technology. The projects that do exist, like Hatom Protocol, are top-tier in UX, security, and advanced features. Hatom will soon introduce USH, a truly high-quality, decentralized stablecoin. 75. On competing chains, automated transactions aren’t easily or cheaply executed, whereas on MultiversX, tools like let you do this for free (with near-zero fees). 76. No other chain combines such a strong team and long-term vision where every product meets extreme security and UX standards like MultiversX does. This is why I see it as the “next Apple” in Web3. 77. MultiversX has a new CMO – Adam Bates, a former CMO at the Cardano Foundation. He was behind the success of Cardano’s huge marketing campaign and has a very good relationship with Charles Hoskinson. Thanks to him, Beniamin Mincu (the founder of MultiversX) was likely introduced, and now they will probably discuss how both blockchains can help each other, as well as any other potential collaborations we don’t yet know about. This is also extremely bullish. #EGLD is undeniably the most Scalable, Advanced, Secure, and User-friendly L1 supercomputer ever created. It’s built to SHAPE THE FUTURE. 1) 2) 3) 4) 5) 27/6/2024 - EGLDSqueeze - SUMMARY: HERE IS NO 2ND BEST. EGLD IS ONLY ONE BLOCKCHAIN THAT CAN RULE THEM ALL. ✅ UNLIMITED SCALING ✅ SCARCE AS BTC ✅ PROGRAMMABLE AS ETH ✅ NO DOWNTIME AS SOL ✅ UI/UX OF Apple ✅ SHARDING DONE BEFORE NEAR & TON ✅ BEST WALLET xPortal WITH GUARDIAN Price prediction (NFA|DYOR): My reasoning is that the real market cap as of December 23, 2024...if we take into account the value of other cryptocurrencies such as BTC, SOL, ETH, AVAX, NEAR, TON, Cardano, BNB, XRP, and so forth, plus the existence of meme coins with valuations above 20 billion USD, or even games nobody plays anymore that still have valuations above 800 million shows that EGLD’s current market cap of approximately 942 million USD is incredibly low. From a technological standpoint, user experience, and other relevant aspects, compared to SOL, NEAR, TON, AVAX, and other L1 protocols, EGLD’s market cap should realistically be around 100 billion USD. Therefore, my prediction and investment thesis is a minimum of a 100x increase from its current price (+-SOL marketcap). MultiversX is ready to onboard 1 billion people to the blockchain. From a long-term perspective, it could even reach a market cap of 1 trillion USD, which is roughly half of where BTC is right now. That would be approximately a 1060x gain from the current market cap. 1 EGLD (MultiversX) is for $34 (only 31.4M max supply) think about this. Not financial advice. Again. There is no 2nd best L1. Position yourself where the puck is going, then wait at the goal until the goal gets there Apes together, strong. Ape alone, weak. We Don't Worry. We Just Win. Shape The Future

Daniel Veroc

50,029 просмотров • 1 год назад

The most epic 13 minute AI rant I've heard in 2026 PS: My parent's heard this when I was playing it in the car and thought Jason ✨👾SaaStr.Ai✨ Lemkin went OFF like Stephen A Smith does on first take PPS: Full transcript below [17:00] Harry Stebbings: I I just wanted to ask Jason, if the people that we want are fundamentally different, the developers that we used to hire, we don't because AI writes the code for us. The marketers we don't want, the sales people we don't want—who who do we want genuinely? Like what is the attractive profile? Because your Anthropic’s and your OpenAIs are hiring, so so what are the people that we want in the companies of the future? [17:18] Jason Lemkin: Look, I know it sounds trite, but but the answer is simple. It's just the expression each year changes. We want folks that are genuinely AI fluent. It's pretty simple. Now you know, maybe last year we called them prompt engineers, right? That used to be a job. I don't know if you remember that actually used to be the hottest job on planet earth. Now no one needs a prompt engineer because it's pretty easy to prompt all these tools. That job died. Okay. Um and now we need go-to-market engineers. Um I think that job's going to die. We need—everyone needs so many forward deployed engineers. Like you can't hire enough forward deployed engineers. But uh you know um but Palantir just announced in whatever their their big their big event—they've gotten their deployment times down over 90% with forward deployed engineers. So that may become—so the this wave of disruption for the titles and the specificity, it's also exhaustingly accelerating. But it's really simple. You meet anyone for any role—sales, marketing, engineering, product, QA—they're they're either they're either they can't keep all of the ways they use AI to accelerate their job from spewing out of their mouth, or they're staring at you. It's there's nowhere in the middle. Like, and the person that comes in and says—it's it's it sounds Captain Obvious—but like, you know, you just had the whatever from Lovable, the the marketing head that was super popular on the show, right? She's just spewing AI-native insights into Lovable, right? It's not that complicated. You hire her, Elena, or whatever it is. You just hire her. It doesn't matter whether she's still in college or a junior or a senior or a middler, a left or right. And honestly, if you interview people, I would say of all even of the best startups I've invested in, maybe 30% of the management team meets this standard at best. 30%. Maybe less. And of the interviews I do in general, it's single-digit percents. It's just and in in that sense, it's the same as ever. Like you either lower the bar in hiring or you hire someone that's actually great. And someone that's actually great is so far ahead of you in how to apply to to employ the efficiencies of AI in their role, your jaw falls on the table. The difference is we used to need warm bodies. That's what's changing. We used to need warm bodies to answer the call, to do QA, to do code review, to to get the blue pixel to go from the upper left to the lower right. You laugh, but you need you literally needed to brute force this with humans. With AI, every day that goes by, the AI—you do not need brute force human beings on your team. And that's another reason they're shrinking. Why are all these new companies so efficient? They're just not brute forcing things with humans. They're just not. They're choosing not to. And so these team—all the brute forcers out there—everyone talks about how bloated teams got in 2021. I don't agree with that. I think they got as big as they needed to be when growth was high and you needed humans to do everything. All you look at these teams that that doubled—well if growth continued at 60% like the rate in early 2021 for 5 years or can help me do the math and every single thing a software company did required a human. You were understaffed by your 2021 headcount. You'd be sitting here in 2026. You every office in SoMa would be triple packed and you there wouldn't be enough humans to staff your company. It's just the world changed. [20:33] Harry Stebbings: Jason, you live on the bleeding edge. I think me and Rory see that and I think the world sees that when they hear you every week in terms of how you run SaaS. For all of the CEOs and execs who listen to the show, what would you advise them in terms of determining whether someone is AI fluent when they meet them for jobs, for talent? [20:51] Jason Lemkin: Here's I realized I was just asked this. I just did a review with a super fast startup growing just crossing 100 million and I was asked this question. And one of my favorite executives, I thought his answer was pretty dated and because he gave me an answer that was about 6 months old. The answer 6 months old is: "I look for folks in my team, I look for you know at what tools they play with." Okay, that was a great answer in like summer of 2025. Okay, I tried Lovable last week. Okay, the answer in 2026 is: "What commercial AI tool have you brought into your organization this month?" That's the test. Anyone that is on the bleeding edge that you would want to hire—now there are so many great products in the market. Okay, there is no excuse in any role to have not brought one tool a month into your organization. Okay, there—now there's going to be better and better tools and better and better products as the year goes on. What's the one you did? And you will see folks with their deer in the headlights to this question. What what sales tool? What marketing tool? What product tool? What engineering tool? What did you bring in? Why did you pick it? How does it working? Because if you're at remotely at the cutting edge, you're all over this. You're looking for the next agentic tools that will radically improve how you do business. This is—you think everyone thinks SaaS is at the bleeding edge, right? You know, you know, all we do is we're just looking for the tools and trying them. Okay? Okay, we're one year ahead of everybody else because we did the simplest thing in the world. Like we tried the tools early and we trained them. We trained them for a month. Okay, I'll give you—want hear a horrible example from this week? Super hot AI company valued at 6 billion. Okay, I'm not going to name it. Um, this week yesterday told us we had to quadruple what we spent on their product. Okay, their agent told us, right? And why did this happen? Okay. Well, at this $6 billion company, no one had trained the agent on its pricing properly. No one had tested it. They said, "Well, well, we've been in beta." And we said, "Well, when did the beta launch? A year ago." Okay, these are people asleep at at the wheel. You want somebody who the instant this comes up, they exactly know what the issue is. And "Hey, when I was at Lovable Replit, we trained the agent. This is how we did it. I brought in this tool. I brought in this tool that that Rory invested in last week. It solved all these issues." That's what you want to hear. And if they haven't brought in a tool in the last 30 days, at least deeply evaluated it. I don't really care whether they bought it, but gone so far down the funnel they can tell you—pick whatever tool: Fixie, Regie, GC, AIGC—I don't care how you went through it, you looked at it, you can tell me the eight ways it would improve the productivity of your business and three you didn't. Just don't hire that person because they're going to run your company to the ground. This is the job today. The job today is not to screw around on ChatGPT and to be a prompt engineer. The job today is to bring the best AI and agentic products into your organization and leverage all the hard work that the engineers have done building those products. That's your job. You don't have to screw around. You don't have to be a prompt engineer anymore. You have to be an agent deployment expert. A—this is the new job we're making up today. An Agentic Deployment Expert. That's your job from C-level to junior. Agentic Deployment Expert. Don't hire anybody else. You're going to regret it. They're going to stare at the camera. He's good. Stare at the camera. He's honorable. We could probably just I could slip away, get a coffee, and come back. No. And I I sound exasperated, Rory. And I—but the reason I am is I can just see I can see my best companies doing it. And I can see some companies I've invested in not doing it. And I want to cry. I just want to cry when they have no ADs on their team. I just—like you're flushing your years of your life down the toilet by not approaching your how you're building this company this way. [24:33] Rory: Yes. And at the risk of being positive, it's worth pointing out two things he didn't say. Well, something implicit why he said—Jason didn't do the only hire, you know, he didn't commit the um employment law, I think it's a civil penalty of saying only employ people below X who get the new new thing because he implicitly said anyone can do it provided you're willing to learn. And I think that's the big aha that's one of the positive statements to make here right? Look and I think it applies—I'm always wary of being "Hey, coming across, hey this this is the things that you all have to do." I think it applies to everyone including investors right? I mean I will say I have found that unless you're willing to invest the time learning these tools you actually shouldn't be investing in them. One of my partners Andy had this expression: "You know, if you decide you want to stop learning new things you probably should retire within 6 to 12 months and never write another check again." Maybe that's down to 3 to 6 months at this stage, right? And I think, you know, it's— [25:27] Harry Stebbings: Yeah, I actually I actually had a meeting with mine and Jason's biggest investor the other day and I—pretend he's not here—I said I think he's the most equipped investor for this generation of investing because I don't think anyone quite sits at the bleeding edge like he does on the investor side. [25:42] Harry Stebbings: Why in terms of using the equip stuff? Yeah. Yeah. In terms of using the stuff, understanding understanding bottlenecks, constraints. For sure. [25:51] Jason Lemkin: But can I just add one point? We can just cuz it's so important if it helps people. Okay, we are—and thank you Harry. We're going through these phases. Okay, and when AI started to blow up for real for us, uh call it early 2024, right? Maybe late '23, I wasn't equipped. It was too technical. I wasn't going to go in and figure out—I wasn't smart enough to figure out how to deal with a massively hallucinating LLM API and turn that and turn that into something magical. Kudos to investors and others that that got it in early '23, '22. I mean I remember I—I guess it was maybe SaaStr Annual '23. I was with David Sacks and I did a Q&A and I said, "How you thinking about AI at Craft?" He's like, "Well we're all in. We want 80% of '23 of investments to be AI." I'm like, "Great but like show me the show me the great ones in market." He's like, "They're all prototypes. We're all they're all they're all proof of concepts but we're all in anyway." That's where you kind of had to be in '23 if you weren't investing at like the LLM level. Okay, I wasn't smart enough. Then we went through this weird-ass prompt engineer era where like you you could torture these products to do something good, right? But you had to torture them. You had to like craft these crazy things that made no sense. Now we are in the era where mere ordinarily smart generalists can make these tools do magical things. And literally I go to these meetings and people be like, "I don't know how to like this is so scary. I don't know how to do this." And we show them our backends. Do you know how to do a workflow generator? Do you know how to do a a decision tree? Like we've been building these since software in the '90s. Okay, if you—I can show you all of our agents. The how they work is novel. They do have to be trained. You can't be lazy and have these agents work. But honestly, the the UI, the UX, the way we interact with them, it's just software. And so my point is: Pick yourself off the ground. This is your time now. If you felt lost in AI era, if you felt like you're behind, you don't understand what all these people are saying on X and Twitter and their Claude and and their and talking about all the 4.6 point Nano point and it's over—like you just it's not your world. This is your time. This is your time for the generalist that knows how to use software tools really really well. And I—this is my last point but it's so important. If ever in your recent life—and this is why you could be all you need to be is young at heart to Rory's point—if in the last three to five years you have successfully deployed a piece of enterprise software of any sort you yourself, not some agency you hired, but if you have deployed it, you can deploy any agentic tool. Any. And you can become the hero in your company and you can become the hero in your functional area. But I watch folks—I'm literally helping a company now that they're adding hundreds of sales folks this year with a new pre-IPO COO—he's not hasn't brought in a single tool, totally scared of it. Okay, it's not that hard. Did you use SalesLoft? Did you use Outreach? Did you use HubSpot? Do you know these tools? If you can deploy these tools, you can deploy a world-changing AI agent. And so this is the time for people like the folks that that were shut out of the AI revolution right now. The generalist folks that are not that know how to deploy software that don't even know how to build software. Like vibe coding for me was folks who knew how to build software, but you didn't have to be an engineer. Now, you just need to know how to deploy software to win with AI agents. That's all you need to know. So many people have these skills and they're petrified of AI. "How did you do that? How did you deploy an AI BDR?" Well, we bought a piece of software, we figured out how it worked for a day, we set it up in an afternoon, and then and then we did spend 30 months training it, which you didn't do with this old software because in the old days, we just had to manually upload all the data, right? And there was no training. The the only non-intuitive part is training these things. And it's it's it's just work. So that's why when I see folks on the management team not doing this, there's no excuse. You do not need to be technical to win with AI agents in Q2 of '26. You do not need to be even 1% technical. Not at all. So it's your time. Or you're going to get laid off. Or you're going to get laid off because you're not going to matter.

Arjun Mahadevan (Mr. LLC 🇺🇸)

37,596 просмотров • 4 месяцев назад