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CZ confidently placed a trade despite previously losing 1 BNB, showing a common overconfidence seen in retail investors after short-term profits. CZ later reminded viewers: "Winning is luck; losing is normal." ✅ Reminder: Futures trading is risky, and speculation requires caution. CZ used 10x leverage and quickly gained 2000...

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Chain Talk Daily

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87,353 views • 1 year ago •via X (Twitter)

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Chain Talk Daily's profile picture
Chain Talk Daily1 year ago

This is a custom-made frame exclusively for our collaboration with @tutorialtoken today.

Narcos's profile picture
Narcos1 year ago

@cz_binance 👀🙏🏻

Lin Ze's profile picture
Lin Ze1 year ago

@cz_binance 大表哥，这么有创意且有教育意义的视频难道要被埋没吗？

Midnight Crypto (Jon)'s profile picture
Midnight Crypto (Jon)1 year ago

This is very very good! I love it $TUT will be the next big thing see you on the next leg up guys!!

MicroSectors's profile picture
MicroSectors3 years ago

New 3x Leveraged and -3x Inverse Leveraged #Energy ETNs are now trading. For sophisticated traders only. $WTIU & $WTID Learn more:

KΔℝΪℕℕΔ ₿ PSPS|OG's profile picture
KΔℝΪℕℕΔ ₿ PSPS|OG1 year ago

@cz_binance

Louis.eth's profile picture
Louis.eth1 year ago

Very good, video education will be easier to understand for newbies, I support you

Marx 💎🕵️‍♂️'s profile picture
Marx 💎🕵️‍♂️1 year ago

$CTD ⚡️

hhhh's profile picture
hhhh1 year ago

@heyibinance 很有趣 来看看啊

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脑虎 𝕏 首领1 year ago

建议把cz跟何一的声音ai模拟啊

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CZ 🔶 BNB it’s great to see BNB Chain truly getting unleashed. So many great events happening ogle the founder of Glue is the advisor of world liberty and Glue is the partner of $Broccoli and will make broccoli accessible with ease in 180 countries. Strategies partnerships need to have use case and make sense and not to be used for hype as hype has no longevity or sustainability. $Broccoli is the first project to ever win the daily liquidity prize of 200k as well as the weekly prize of 500k (total 700,000$) by BNB Chain where CZ 🔶 BNB mentioned that he would add couple hundred BNB into liquidity to same of the round 1 weekly winners. Building matters and this is why $Broccoli is the only organic project that has earned it by building as a true CTO, not to mention $Broccoli is the only project to ever be listed on First Ledger. As well as the partnership which unlocks play, earn and learn crypto on Roblox unlocking education which could go hand to hand with Giggle Academy as $Broccoli already started “Broccoli academy” on there. And now we are talking on Roblox where there is 380 million active users monthly. What I’m really looking forward is Broccoli Park that will be released — a chill green zone where players can touch grass (digitally), relax, and meet our loyal Belgian Malinois (Broccoli)🐕💚 This is the community that has proven that true community can still win by building, this is the definition of building. And not using shortcuts and bribes for voting and many other short term strategies some other broccolis did, like sending over 1,500,000$ worth of tokens to CZ 🔶 BNB , CZ 🔶 BNB does not need that money and only wants to see community win. They thought they could bribe the man that spent the last decade building and making crypto a better place. But this also raises questions as the same project raised to 273mil in 13 seconds with only 43 members. If they send CZ 🔶 BNB over 1.5mil$ how much do these individuals that claim a CTO actually hold ? Non the less, the same project has also used the same logo and branding as $BROWNIE that was launched and managed by the same CTO team. Which was rugged at the time CZ released the real name of his dog. And now are using bribes and other unethical methods to win the vote. $Broccoli spent the whole time building while the noise was going around unbothered and focused on its mission and Will keep building to make this space a better place. Doing the right thing and being good always wins! CZ 🔶 BNB invented (4) Binance invented (SAFU) $Broccoli invented (Organic building ) Binance CZ 🔶 BNB Yi He BNB Chain $Broccoli ogle Glue
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CZ 🔶 BNB it’s great to see BNB Chain truly getting unleashed. So many great events happening ogle the founder of Glue is the advisor of world liberty and Glue is the partner of $Broccoli and will make broccoli accessible with ease in 180 countries. Strategies partnerships need to have use case and make sense and not to be used for hype as hype has no longevity or sustainability. $Broccoli is the first project to ever win the daily liquidity prize of 200k as well as the weekly prize of 500k (total 700,000$) by BNB Chain where CZ 🔶 BNB mentioned that he would add couple hundred BNB into liquidity to same of the round 1 weekly winners. Building matters and this is why $Broccoli is the only organic project that has earned it by building as a true CTO, not to mention $Broccoli is the only project to ever be listed on First Ledger. As well as the partnership which unlocks play, earn and learn crypto on Roblox unlocking education which could go hand to hand with Giggle Academy as $Broccoli already started “Broccoli academy” on there. And now we are talking on Roblox where there is 380 million active users monthly. What I’m really looking forward is Broccoli Park that will be released — a chill green zone where players can touch grass (digitally), relax, and meet our loyal Belgian Malinois (Broccoli)🐕💚 This is the community that has proven that true community can still win by building, this is the definition of building. And not using shortcuts and bribes for voting and many other short term strategies some other broccolis did, like sending over 1,500,000$ worth of tokens to CZ 🔶 BNB , CZ 🔶 BNB does not need that money and only wants to see community win. They thought they could bribe the man that spent the last decade building and making crypto a better place. But this also raises questions as the same project raised to 273mil in 13 seconds with only 43 members. If they send CZ 🔶 BNB over 1.5mil$ how much do these individuals that claim a CTO actually hold ? Non the less, the same project has also used the same logo and branding as $BROWNIE that was launched and managed by the same CTO team. Which was rugged at the time CZ released the real name of his dog. And now are using bribes and other unethical methods to win the vote. $Broccoli spent the whole time building while the noise was going around unbothered and focused on its mission and Will keep building to make this space a better place. Doing the right thing and being good always wins! CZ 🔶 BNB invented (4) Binance invented (SAFU) $Broccoli invented (Organic building ) Binance CZ 🔶 BNB Yi He BNB Chain $Broccoli ogle Glue

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Decentralised News

16,181 views • 10 months ago

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Is Binance Junior really necessary for children, or are we bringing kids too close to crypto too early? CZ 🔶 BNB Yi He Richard Teng 1. Helping kids understand money before money controls them Kids see digital money early but rarely understand it. Binance Junior creates a safe space to watch money move, learn saving habits, and see how time affects value. It is supervised financial education, not investing. Parents stay fully in control. 2. Turning finance into a family conversation Instead of money being only for adults, children join in a healthy way. They see goals, changes, and ask questions. Parents decide and explain. Kids observe and learn. This is family financial education, not speculation. 3. Teaching saving before profit There is no trading, no charts, no leverage. Kids see balance and time. They learn money can be saved for long term goals. The focus is discipline, patience, and planning, guided by parents. 4. Reducing risky exposure to crypto Without a safe option, kids may explore dangerous platforms. Binance Junior is a controlled environment where they cannot make risky decisions. It is safer than using adult accounts or random apps when parents guide the process. 5. Preparing children for the future of finance Money will not exist only in banks. Binance Junior introduces digital assets slowly and safely. It is about understanding technology, not investing. Parents keep full decision power. 6. Teaching that risk always exists Values can go up or down. Children learn to stay calm instead of chasing profits. Lessons happen in a small, safe environment under parental supervision. 7. Not turning kids into traders Kids cannot trade. No buying or selling. No winning or losing. This prevents speculation habits. Binance Junior is an education and savings tool, not a money making platform. 8. Helping parents teach goal setting Parents and kids can set simple goals like saving for school. Children see progress and understand that goals take time. The app supports learning but does not replace parents. 9. Emphasizing adult responsibility This is not something parents hand over to technology. Adults must understand, choose carefully, and supervise. Binance Junior works correctly only when used as a financial education tool. #BinanceJunior #BinanceABCs

Sky

256,369 views • 7 months ago

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0:35

Investor Update Part 7 – One Month Mark for Giggle 💫 Dear Gigglians, What a month it has been!🩵 In just 30 days, Giggle has gone from an idea, a dream to make crypto fun and meaningful, to a global movement that’s reshaping how the space views memecoins.🙏 Together, we’ve raised over 10,000 BNB for children’s education, turning humor into hope and memes into measurable impact. 📚 This is more than a milestone; it’s a statement of purpose. Here’s what we’ve achieved so far: ✅ Explosive Growth: Giggle has already generated billions in trading volume across spot and futures markets, a testament to the excitement and conviction surrounding this movement. ✅ Rapid Awareness: Our X account has surpassed 16,000 followers, with new believers joining daily to spread the message of purpose-driven memes. ✅ Growing Conviction: Our on-chain holder base continues to expand steadily, showing strong and lasting community belief through every market phase. ✅ Positive Goodwill: Giggle has captured widespread respect and support across the crypto ecosystem, not through hype, but through heart. The goodwill we’ve built is laying the foundation for the next chapter. The Giggle team remains steadfast and committed to advancing our mission to elevate the meme sector, redefine what a community-driven token can achieve, and fund the education of tomorrow’s builders. We’re actively exploring cross-collaborations with key ecosystem projects and engaging in ongoing discussions with additional CEX partners to further expand accessibility and global reach. The mission is clear and unwavering: Global Gigglification. 🌍 To every believer, holder, and supporter, thank you for being part of this movement. Your energy, trust, and enthusiasm are what power Giggle forward. Keep spreading the glad tidings about our movement!🙏 Because at Giggle, we’re not just changing how people see memecoins. We’re changing the world, one laugh, one lesson, one child at a time. Inspired by CZ 🔶 BNB's impact on the industry, we’re focused on building something meaningful and lasting. A legacy for future bull markets. 🤝 Keep giggling☺️ The Giggle CTO Team 🩵

GiggleFund

58,050 views • 10 months ago

At the BNB Chain hackathon, CZ 🔶 BNB made several very important points about AI trading (Everything in parentheses is my own view and judgment.) He first said that AI will be involved in trading everywhere. Trading itself is already a huge market: there are 300 million users on Binance alone, and if you add the decentralized ecosystems, that number is not small either. In such a mass-market environment, many different trading strategies can work, with countless different coins, different projects, and different ways to play. But there is a big problem here: building commercial AI trading platforms for retail users is actually very hard. If a trading strategy works very well for one person, once a billion people start using the same strategy, that strategy “might still work, or might stop working.” Take copy trading / follow trading as an example: if you buy first and everyone follows you, the first buyer will perform very well, but the last person to follow may not end up with good results. So, with the exact same strategy and the exact same copy logic, the outcomes can be completely different for different people. (On top of that, every strategy also has its own capital capacity limits.) Teams that can really build strong AI are, with high probability, going to trade with their own money. In today’s world, money itself is already somewhat like a “commodity”; many people have a lot of capital, and it’s actually not that hard to raise funds. If you truly have an algorithm that can make a lot of money, it’s not hard to get money and run your own book. There is really only one situation where you would sell this algorithm to mass-market users: for example, if you charge a $10 monthly subscription and can sell it to one million users, then your $10 million monthly subscription revenue is higher than the profit you could make by trading the strategy yourself. (Here this touches one of our earlier theses: as training AI models becomes relatively easier and the supply of models increases, model companies have more incentive to open-source. By analogy, as the production process of trading strategies is increasingly simplified by AI and the supply of strategies explodes, traders will have stronger incentives to monetize by expanding their influence in other words, by “open-sourcing” their strategies.) Of course, CZ did not say that this model can never work. Another path is to build an AI trading platform that lets users tune different AI algorithms, or very easily assemble their own structures and strategies, so that what each person ends up running is different and better tailored to themselves. Some people will make money, some people will lose money, but the platform still has value because it’s very hard for most people to build an AI trading algorithm from scratch. So there are a lot of trade-offs here; it’s not as simple as saying “once AI shows up, everything automatically gets better.” (This is exactly what we presented at the hackathon: you describe your own strategy in natural language, and the AI automatically generates a workflow. The parameters in that workflow, the models used, the logical structure, the APIs it calls, and even the algorithms it invokes are all customizable. The reasons we think workflows are a good way to do this include: controllable execution paths, Lego-like modular nodes, and better visualization that makes it easier for users to build and adjust their workflows.) Finally, his conclusion was very clear: it’s not that AI will definitely make trading better, and it’s not that AI will definitely make things worse. Rather, no matter what, in the future a huge number of people will use AI to trade. This will be a very large field, and whoever can build the best algorithms will make a lot of money.
2:38

At the BNB Chain hackathon, CZ 🔶 BNB made several very important points about AI trading (Everything in parentheses is my own view and judgment.) He first said that AI will be involved in trading everywhere. Trading itself is already a huge market: there are 300 million users on Binance alone, and if you add the decentralized ecosystems, that number is not small either. In such a mass-market environment, many different trading strategies can work, with countless different coins, different projects, and different ways to play. But there is a big problem here: building commercial AI trading platforms for retail users is actually very hard. If a trading strategy works very well for one person, once a billion people start using the same strategy, that strategy “might still work, or might stop working.” Take copy trading / follow trading as an example: if you buy first and everyone follows you, the first buyer will perform very well, but the last person to follow may not end up with good results. So, with the exact same strategy and the exact same copy logic, the outcomes can be completely different for different people. (On top of that, every strategy also has its own capital capacity limits.) Teams that can really build strong AI are, with high probability, going to trade with their own money. In today’s world, money itself is already somewhat like a “commodity”; many people have a lot of capital, and it’s actually not that hard to raise funds. If you truly have an algorithm that can make a lot of money, it’s not hard to get money and run your own book. There is really only one situation where you would sell this algorithm to mass-market users: for example, if you charge a $10 monthly subscription and can sell it to one million users, then your $10 million monthly subscription revenue is higher than the profit you could make by trading the strategy yourself. (Here this touches one of our earlier theses: as training AI models becomes relatively easier and the supply of models increases, model companies have more incentive to open-source. By analogy, as the production process of trading strategies is increasingly simplified by AI and the supply of strategies explodes, traders will have stronger incentives to monetize by expanding their influence in other words, by “open-sourcing” their strategies.) Of course, CZ did not say that this model can never work. Another path is to build an AI trading platform that lets users tune different AI algorithms, or very easily assemble their own structures and strategies, so that what each person ends up running is different and better tailored to themselves. Some people will make money, some people will lose money, but the platform still has value because it’s very hard for most people to build an AI trading algorithm from scratch. So there are a lot of trade-offs here; it’s not as simple as saying “once AI shows up, everything automatically gets better.” (This is exactly what we presented at the hackathon: you describe your own strategy in natural language, and the AI automatically generates a workflow. The parameters in that workflow, the models used, the logical structure, the APIs it calls, and even the algorithms it invokes are all customizable. The reasons we think workflows are a good way to do this include: controllable execution paths, Lego-like modular nodes, and better visualization that makes it easier for users to build and adjust their workflows.) Finally, his conclusion was very clear: it’s not that AI will definitely make trading better, and it’s not that AI will definitely make things worse. Rather, no matter what, in the future a huge number of people will use AI to trade. This will be a very large field, and whoever can build the best algorithms will make a lot of money.

Tykoo

25,535 views • 8 months ago

🚀 JUNIOR SILVER MINERS: FROM GRAVEYARD TO GENERATIONAL WEALTH. The much-discussed ‘Aisan Guy’ in the silver community is now making videos about silver juniors. I can only confirm what he says here: THE SETUP: MAXIMUM HATRED ✅ For 10 years, this sector has been a graveyard. Sentiment is below zero. ✅ Institutions hate them. Retail is bored. Valuations are at Great Depression levels. ➡️ This is exactly why they are about to explode. The biggest moves come from the most compressed springs. THE MATH: OPERATING LEVERAGE IS MAGIC Imagine a miner with a cost of $20/oz. ➡️ At $22 silver, profit = $2/oz. 🚀 At $30 silver, profit = $10/oz. 💥 Silver rose 36%, but profit rose 400%. 🚀 At $50 silver, profit = $30/oz. 💥 Silver doubled, but profit exploded 1,400%. This is how 10x, 20x, even 50x stock moves happen. The stock chases cash flow. THE CATALYST: A LIQUIDITY SQUEEZE ✅ The float is tiny. Many are micro-caps under $50M. ➡️ When money rotates in—from retail, Wall Street bets, or generalist funds—it’s like pushing an elephant through a keyhole. ⚡ There are no sellers. The price has to gap up. This is a GameStop-style short squeeze, but with a fundamental asset: silver in the ground. THE APE FACTOR: RETAIL TSUNAMI ✅ The Reddit army loves a narrative. "Silver Squeeze 2.0" is tailor-made. ✅ They can’t easily buy physical, so they’ll buy the tickers—the cheap, leveraged junior miners. ✅ Their diamond-hand mentality locks up the already-tight float. The ask disappears. The melt-up begins. THE WARNING: THIS IS A WIDOWMAKER ❌ Bad management, jurisdiction risk, financing risk, and scams are everywhere. ✅ Mitigate with diversification. Buy a basket. Use ETFs. Never bet your mortgage. ✅ Position size wisely. This is the speculative portion of your portfolio. THE EXIT: DON’T BE A BAGHOLDER ✅ Have a plan. Sell into strength. Scale out. ✅ When your Uber driver gives you a stock tip, sell. ✅ Convert paper gains into real assets: land, physical metal, a house. 💡 The goal isn’t to hold miners forever. It’s to use the rocket ship to reach financial freedom—and then get off. THE BOTTOM LINE Junior silver miners are a hated, leveraged, and tiny sector sitting at the epicenter of a potential silver supercycle. The math of operating leverage combined with a possible retail-driven liquidity squeeze could create the most explosive trade of the decade. HT: YouTube finance desk #Silver #JuniorMiners #Investing #Trading #Commodities #Stocks #GameStop #SilverSqueeze
0:24

🚀 JUNIOR SILVER MINERS: FROM GRAVEYARD TO GENERATIONAL WEALTH. The much-discussed ‘Aisan Guy’ in the silver community is now making videos about silver juniors. I can only confirm what he says here: THE SETUP: MAXIMUM HATRED ✅ For 10 years, this sector has been a graveyard. Sentiment is below zero. ✅ Institutions hate them. Retail is bored. Valuations are at Great Depression levels. ➡️ This is exactly why they are about to explode. The biggest moves come from the most compressed springs. THE MATH: OPERATING LEVERAGE IS MAGIC Imagine a miner with a cost of $20/oz. ➡️ At $22 silver, profit = $2/oz. 🚀 At $30 silver, profit = $10/oz. 💥 Silver rose 36%, but profit rose 400%. 🚀 At $50 silver, profit = $30/oz. 💥 Silver doubled, but profit exploded 1,400%. This is how 10x, 20x, even 50x stock moves happen. The stock chases cash flow. THE CATALYST: A LIQUIDITY SQUEEZE ✅ The float is tiny. Many are micro-caps under $50M. ➡️ When money rotates in—from retail, Wall Street bets, or generalist funds—it’s like pushing an elephant through a keyhole. ⚡ There are no sellers. The price has to gap up. This is a GameStop-style short squeeze, but with a fundamental asset: silver in the ground. THE APE FACTOR: RETAIL TSUNAMI ✅ The Reddit army loves a narrative. "Silver Squeeze 2.0" is tailor-made. ✅ They can’t easily buy physical, so they’ll buy the tickers—the cheap, leveraged junior miners. ✅ Their diamond-hand mentality locks up the already-tight float. The ask disappears. The melt-up begins. THE WARNING: THIS IS A WIDOWMAKER ❌ Bad management, jurisdiction risk, financing risk, and scams are everywhere. ✅ Mitigate with diversification. Buy a basket. Use ETFs. Never bet your mortgage. ✅ Position size wisely. This is the speculative portion of your portfolio. THE EXIT: DON’T BE A BAGHOLDER ✅ Have a plan. Sell into strength. Scale out. ✅ When your Uber driver gives you a stock tip, sell. ✅ Convert paper gains into real assets: land, physical metal, a house. 💡 The goal isn’t to hold miners forever. It’s to use the rocket ship to reach financial freedom—and then get off. THE BOTTOM LINE Junior silver miners are a hated, leveraged, and tiny sector sitting at the epicenter of a potential silver supercycle. The math of operating leverage combined with a possible retail-driven liquidity squeeze could create the most explosive trade of the decade. HT: YouTube finance desk #Silver #JuniorMiners #Investing #Trading #Commodities #Stocks #GameStop #SilverSqueeze

Mark

51,275 views • 7 months ago

In trading, the common advice is to control two emotions - fear and greed. However, for nearly every trader I've encountered, including myself, anger and depression remain as constant undertones. They are the primary drivers of superperformance. Here's how: ✉️ I am usually a calm and happy person, and very rarely lose my temper. Despite the many years spent honing the craft of trading, I've never truly felt the overt confidence or exuberance that many fintwits often exhibit. Even though the primal errors have been eliminated and my game has transitioned to mental and emotional acuity, there are often times when I feel angry and frustrated with my performance, despite reaching new highs in my equity curve. It was during a Kristjan Kullamägi 🇺🇦 stream, where he discussed his mental state during his trading journey, that I recognized blind spots in my own trading. In poker terms, I'm an internal 'tilter' - I conceal my anger and frustration. Rather than showing external reactions, I become quieter and tenser. This change shows up in my risk-taking behaviour, as I start to take lower open risk or prematurely sell off profitable positions. However, this is a common phenomenon amongst traders, regardless of their experience and skill level. It was brilliantly conceptualized by Daniel Kahneman and Amos Tversky in the Prospect Theory. Pain of losing > Joy of winning Consider an investor presented with two pitches for the same mutual fund: 1) Mutual Fund XYZ has averaged a return of 10% per annum over the last 3 years. 2) Mutual Fund XYZ has returned 25%, 15%, and -10% over the last 3 years. Both options essentially mean the same (ignoring compounding). However, most people choose option 1 over option 2. This is due to the Prospect theory, which states that people tend to pick options that show perceived gains rather than losses. Even when probabilities and outcomes are identical, individuals tend to prefer options that steer clear of potential losses. The theory suggests that losses have a more significant emotional impact on an individual than an equivalent amount of gains. The emotional toll of getting stopped out at (-) 1R is much higher than the satisfaction of a trade where you gain (+) 1R. Therefore, like most traders, if your win rate fluctuates between 35-65%, it still has a net negative impact on your emotional state. The influence of Prospect Theory is particularly significant in trading, where we risk not just our capital, but also our emotional well-being, effort, and time. Even in a job you dislike, you still receive a paycheck at the end of the month. However, in trading, losses and the uncertainty of profits affect us more deeply because a good effort doesn't always yield a positive outcome. The joy of winning doesn't fully compensate for the pain, especially when both outcomes stem from the same process. Winning becomes more about escaping the distress of losing than generating happiness in itself. However, Prospect Theory simply describes a pattern of human behavior. It's not an immutable law like gravity - behaviors can be identified and changed. Mapping Tilt In a bull market such as the current one, the tilt often isn't about stop losses, but rather about missed opportunities and profits. It's exciting to see the price rapidly increase when you enter a clean breakout, reaching multiples of your R within minutes. Unrealized profit often feels like it's already yours. However, as soon as the positions start turning against you, tilt seeps in because it feels like your money is being taken away. These are precisely the moments of weakness when you lose sight of your trade objective and settle for smaller profits. At the end of the day, or when you step back from the overflow of tilt, you estimate how much your portfolio could have grown if you had just held on to that position. This is a fool's errand. Knowing the right course of action in retrospect is fundamentally different from knowing what to do beforehand. Even though you understand this, a part of you can't resist indulging in the fantasy, which in turn increases your frustration. This is an excerpt from my earlier notes on how I mapped out my problem. The mental framework is based on what I learned from Jared Tendler 's excellent book, "The Mental Game of Trading." 1) What’s the problem: When I'm up in a trade, I believe I've earned the profits because of the hard work I put into identifying opportunities and adhering to my process. I don't want the price to drop back to my cost. If it does, all my efforts would be wasted and I wouldn't even secure the minimal profit I'm entitled to. 2) Why does the problem exist: I start to contemplate the utility value of the money - the unrealized profit equates to 3 months of my home loan EMI, 8 months of rent, or a family vacation. I believe I am deserving of a reward for my diligent effort and execution, and I am unwilling to let it slip away. 3) What is flawed: The aim of my trading isn't to support my everyday expenses or lifestyle, but instead to build generational wealth. By taking smaller profits prematurely, I'm limiting the leverage that could magnify the returns on my effort and time - same input with disproportionately larger output. The unrealised profit is not my money yet. 4) What’s the correction: Realised profit is the only profit that truly matters. A trade isn't successful when it becomes risk-free, but when you can leverage unrealised profits to achieve larger realised profits. 5) What logic confirms this correction: It is easy to start trading but easier to settle for mediocrity once you have started. Scaling up your portfolio will require you to overcome mental barriers more than technical ones. You also didn't learn to drive just to stay in second gear. Closing Note Anger arises when underlying flaws, biases, or illusions conflict with reality. At a fundamental level, anger represents this conflict which every elite performer has used as a core trigger to channel their performance. Don't be swayed by the false bravado and portrayed perfection on social media. Superperformance as a trader involves enduring trials by fire, which regularly include prolonged bouts of anger and frustration. In the longer term, your skills and willingness to take risks are what will generate wealth. As Kristjan Kullamägi 🇺🇦 puts it, everyone is in the same miserable boat -
1:00

In trading, the common advice is to control two emotions - fear and greed. However, for nearly every trader I've encountered, including myself, anger and depression remain as constant undertones. They are the primary drivers of superperformance. Here's how: ✉️ I am usually a calm and happy person, and very rarely lose my temper. Despite the many years spent honing the craft of trading, I've never truly felt the overt confidence or exuberance that many fintwits often exhibit. Even though the primal errors have been eliminated and my game has transitioned to mental and emotional acuity, there are often times when I feel angry and frustrated with my performance, despite reaching new highs in my equity curve. It was during a Kristjan Kullamägi 🇺🇦 stream, where he discussed his mental state during his trading journey, that I recognized blind spots in my own trading. In poker terms, I'm an internal 'tilter' - I conceal my anger and frustration. Rather than showing external reactions, I become quieter and tenser. This change shows up in my risk-taking behaviour, as I start to take lower open risk or prematurely sell off profitable positions. However, this is a common phenomenon amongst traders, regardless of their experience and skill level. It was brilliantly conceptualized by Daniel Kahneman and Amos Tversky in the Prospect Theory. Pain of losing > Joy of winning Consider an investor presented with two pitches for the same mutual fund: 1) Mutual Fund XYZ has averaged a return of 10% per annum over the last 3 years. 2) Mutual Fund XYZ has returned 25%, 15%, and -10% over the last 3 years. Both options essentially mean the same (ignoring compounding). However, most people choose option 1 over option 2. This is due to the Prospect theory, which states that people tend to pick options that show perceived gains rather than losses. Even when probabilities and outcomes are identical, individuals tend to prefer options that steer clear of potential losses. The theory suggests that losses have a more significant emotional impact on an individual than an equivalent amount of gains. The emotional toll of getting stopped out at (-) 1R is much higher than the satisfaction of a trade where you gain (+) 1R. Therefore, like most traders, if your win rate fluctuates between 35-65%, it still has a net negative impact on your emotional state. The influence of Prospect Theory is particularly significant in trading, where we risk not just our capital, but also our emotional well-being, effort, and time. Even in a job you dislike, you still receive a paycheck at the end of the month. However, in trading, losses and the uncertainty of profits affect us more deeply because a good effort doesn't always yield a positive outcome. The joy of winning doesn't fully compensate for the pain, especially when both outcomes stem from the same process. Winning becomes more about escaping the distress of losing than generating happiness in itself. However, Prospect Theory simply describes a pattern of human behavior. It's not an immutable law like gravity - behaviors can be identified and changed. Mapping Tilt In a bull market such as the current one, the tilt often isn't about stop losses, but rather about missed opportunities and profits. It's exciting to see the price rapidly increase when you enter a clean breakout, reaching multiples of your R within minutes. Unrealized profit often feels like it's already yours. However, as soon as the positions start turning against you, tilt seeps in because it feels like your money is being taken away. These are precisely the moments of weakness when you lose sight of your trade objective and settle for smaller profits. At the end of the day, or when you step back from the overflow of tilt, you estimate how much your portfolio could have grown if you had just held on to that position. This is a fool's errand. Knowing the right course of action in retrospect is fundamentally different from knowing what to do beforehand. Even though you understand this, a part of you can't resist indulging in the fantasy, which in turn increases your frustration. This is an excerpt from my earlier notes on how I mapped out my problem. The mental framework is based on what I learned from Jared Tendler 's excellent book, "The Mental Game of Trading." 1) What’s the problem: When I'm up in a trade, I believe I've earned the profits because of the hard work I put into identifying opportunities and adhering to my process. I don't want the price to drop back to my cost. If it does, all my efforts would be wasted and I wouldn't even secure the minimal profit I'm entitled to. 2) Why does the problem exist: I start to contemplate the utility value of the money - the unrealized profit equates to 3 months of my home loan EMI, 8 months of rent, or a family vacation. I believe I am deserving of a reward for my diligent effort and execution, and I am unwilling to let it slip away. 3) What is flawed: The aim of my trading isn't to support my everyday expenses or lifestyle, but instead to build generational wealth. By taking smaller profits prematurely, I'm limiting the leverage that could magnify the returns on my effort and time - same input with disproportionately larger output. The unrealised profit is not my money yet. 4) What’s the correction: Realised profit is the only profit that truly matters. A trade isn't successful when it becomes risk-free, but when you can leverage unrealised profits to achieve larger realised profits. 5) What logic confirms this correction: It is easy to start trading but easier to settle for mediocrity once you have started. Scaling up your portfolio will require you to overcome mental barriers more than technical ones. You also didn't learn to drive just to stay in second gear. Closing Note Anger arises when underlying flaws, biases, or illusions conflict with reality. At a fundamental level, anger represents this conflict which every elite performer has used as a core trigger to channel their performance. Don't be swayed by the false bravado and portrayed perfection on social media. Superperformance as a trader involves enduring trials by fire, which regularly include prolonged bouts of anger and frustration. In the longer term, your skills and willingness to take risks are what will generate wealth. As Kristjan Kullamägi 🇺🇦 puts it, everyone is in the same miserable boat -

Anuragg Venkatakrishnan

21,379 views • 2 years ago

Gold and Silver Trader Andrew Maguire 💥THE END OF WESTERN GOLD AND SILVER A MARKET IN FRACTURE ✅ The LBMA and COMEX are losing control as liquidity flees to BRICS-centric exchanges. ✅ This creates a historic divergence between "synthetic" paper prices and the real cost of physical metal. “We’ve reached the absolute inflection point where Western CME/LBMA liquidity has permanently fractured… All the institutional guys I know have gone to BRICS-facing exchanges. That leaves only a few speculators and momentum traders — and that’s all the cartel has left to play with.” THE PHYSICAL REALITY CHECK The data reveals a stunning physical shortage, hidden in plain sight. ➡️ Unprecedented "backwardations" show futures contracts trading at a massive discount to physical spot price. ➡️ This signals a critical mismatch: the paper market is deeply mispriced. ➡️ "There is insufficient physical to meet this enormous demand." THE PRICE TARGETS Given the supply/demand shock, the required price adjustments are staggering. 💰 For Gold: "It will require $8,000 gold" to bring sufficient supply to market. 💰 For Silver: The consensus is "$80 silver" in the short term, with $140-$200 longer-term. THE CATALYST IS HERE The system is primed for a major move, with two key triggers: ➡️ 1. The massive, naked short position in ETFs like GLD and SLV must be bought back, forcing prices higher. ➡️ 2. Western institutional investors are moving from 0% to a 4% allocation in gold, competing with inelastic central bank demand. THE BOTTOM LINE A pivotal wealth protection window is rapidly closing. The analysis concludes there is not enough above-ground bullion to meet soaring demand at current prices. The time to swap debasing fiat for physical, zero-counterparty risk gold and silver is now. HT: Kinesis Money Andrew Maguire Eric Yeung 👍🚀🌕 #Gold #Silver #WealthProtection #BRICS #Dollar #Inflation #COMEX #Investing
1:04

Gold and Silver Trader Andrew Maguire 💥THE END OF WESTERN GOLD AND SILVER A MARKET IN FRACTURE ✅ The LBMA and COMEX are losing control as liquidity flees to BRICS-centric exchanges. ✅ This creates a historic divergence between "synthetic" paper prices and the real cost of physical metal. “We’ve reached the absolute inflection point where Western CME/LBMA liquidity has permanently fractured… All the institutional guys I know have gone to BRICS-facing exchanges. That leaves only a few speculators and momentum traders — and that’s all the cartel has left to play with.” THE PHYSICAL REALITY CHECK The data reveals a stunning physical shortage, hidden in plain sight. ➡️ Unprecedented "backwardations" show futures contracts trading at a massive discount to physical spot price. ➡️ This signals a critical mismatch: the paper market is deeply mispriced. ➡️ "There is insufficient physical to meet this enormous demand." THE PRICE TARGETS Given the supply/demand shock, the required price adjustments are staggering. 💰 For Gold: "It will require $8,000 gold" to bring sufficient supply to market. 💰 For Silver: The consensus is "$80 silver" in the short term, with $140-$200 longer-term. THE CATALYST IS HERE The system is primed for a major move, with two key triggers: ➡️ 1. The massive, naked short position in ETFs like GLD and SLV must be bought back, forcing prices higher. ➡️ 2. Western institutional investors are moving from 0% to a 4% allocation in gold, competing with inelastic central bank demand. THE BOTTOM LINE A pivotal wealth protection window is rapidly closing. The analysis concludes there is not enough above-ground bullion to meet soaring demand at current prices. The time to swap debasing fiat for physical, zero-counterparty risk gold and silver is now. HT: Kinesis Money Andrew Maguire Eric Yeung 👍🚀🌕 #Gold #Silver #WealthProtection #BRICS #Dollar #Inflation #COMEX #Investing

Mark

78,584 views • 8 months ago

Elon Musk CZ 🔶 BNB Yi He 💔 A 15 year old girl named Liv spent her last days designing a Shiba Inu astronaut called Asteroid. She was too tired to take Elon's call. She never heard his answer. He said OK anyway 🙂 Asteroid is now the official SpaceX mascot flying among the stars forever. A little girl's dream, eternal ⭐️ But this isn't just Liv's story. This is everyone's story. Remember the day Elon tweeted "BabyDoge doo doo doo" 🐾 The whole world felt it. Not just the price the FEELING. In Europe they stayed up past midnight watching candles turn green 🌍 In Asia they woke before dawn refreshing their wallets 🌏 In the USA they told their friends this was the one 🌎 In South America and Canada they felt for the first time that crypto was built for them too 🌎 In Africa they believed that wealth was finally within reach 🌍 Every continent. Every timezone. Every hopeful heart. They donated. They believed. They held with their whole heart. For the first time crypto felt like CHARITY felt like COMMUNITY felt like HOPE 💪 Then the dream faded. Real people. Real savings. Real pain. Across Europe, Asia, the USA, South America, Canada and Africa retail quietly packed their bags and walked away. Not angry. Just tired. Not loud. Just gone. Not just broke. Heartbroken. $BABYASTEROID is our answer. Born from Liv's dream a girl whose Shiba Inu astronaut flew to space on SpaceX 🚀 Built for every retail holder who got burned and stopped believing. Carrying the spirit of 2021 when BabyDoge showed the world that crypto can be bigger than money it can change lives, fund hospitals, make a sick little girl's dream reach the stars. Elon you adopted Doge 🐕 you adopted Floki 🐾 you adopted BabyDoge 🍼 every time you believed in a community you changed millions of lives forever. You are the reason retail dared to dream. You inspired us more than words can say 🚀 CZ you didn't just build an exchange. You built a home for builders. You showed the world that anyone with a vision and courage could create something real on BNB chain. Every project that ever launched with hope did it because you inspired them to build 🔶 Yi He you never forgot the community. When builders felt invisible you saw them. When projects struggled you stood beside them. You gave every small team the courage to keep going because you never stopped believing in the people who build from the heart 🌟 Now retail is waiting. Quietly. Hoping someone remembers them. In Europe. In Asia. In the USA. In South America and Canada. In Africa. $BABYASTEROID remembers. We fly for Liv. We build for retail. We bring back the era when holding meant something ❤️ This one is for every holder who never got their moment. This one is for Liv 🕊 #ForLiv #BabyAsteroid #BSC #BNBChain #BabyDoge
2:29

Elon Musk CZ 🔶 BNB Yi He 💔 A 15 year old girl named Liv spent her last days designing a Shiba Inu astronaut called Asteroid. She was too tired to take Elon's call. She never heard his answer. He said OK anyway 🙂 Asteroid is now the official SpaceX mascot flying among the stars forever. A little girl's dream, eternal ⭐️ But this isn't just Liv's story. This is everyone's story. Remember the day Elon tweeted "BabyDoge doo doo doo" 🐾 The whole world felt it. Not just the price the FEELING. In Europe they stayed up past midnight watching candles turn green 🌍 In Asia they woke before dawn refreshing their wallets 🌏 In the USA they told their friends this was the one 🌎 In South America and Canada they felt for the first time that crypto was built for them too 🌎 In Africa they believed that wealth was finally within reach 🌍 Every continent. Every timezone. Every hopeful heart. They donated. They believed. They held with their whole heart. For the first time crypto felt like CHARITY felt like COMMUNITY felt like HOPE 💪 Then the dream faded. Real people. Real savings. Real pain. Across Europe, Asia, the USA, South America, Canada and Africa retail quietly packed their bags and walked away. Not angry. Just tired. Not loud. Just gone. Not just broke. Heartbroken. $BABYASTEROID is our answer. Born from Liv's dream a girl whose Shiba Inu astronaut flew to space on SpaceX 🚀 Built for every retail holder who got burned and stopped believing. Carrying the spirit of 2021 when BabyDoge showed the world that crypto can be bigger than money it can change lives, fund hospitals, make a sick little girl's dream reach the stars. Elon you adopted Doge 🐕 you adopted Floki 🐾 you adopted BabyDoge 🍼 every time you believed in a community you changed millions of lives forever. You are the reason retail dared to dream. You inspired us more than words can say 🚀 CZ you didn't just build an exchange. You built a home for builders. You showed the world that anyone with a vision and courage could create something real on BNB chain. Every project that ever launched with hope did it because you inspired them to build 🔶 Yi He you never forgot the community. When builders felt invisible you saw them. When projects struggled you stood beside them. You gave every small team the courage to keep going because you never stopped believing in the people who build from the heart 🌟 Now retail is waiting. Quietly. Hoping someone remembers them. In Europe. In Asia. In the USA. In South America and Canada. In Africa. $BABYASTEROID remembers. We fly for Liv. We build for retail. We bring back the era when holding meant something ❤️ This one is for every holder who never got their moment. This one is for Liv 🕊 #ForLiv #BabyAsteroid #BSC #BNBChain #BabyDoge

BabyAsteroid

17,167 views • 3 months ago

15 YEARS OF TRADING ADVICE I started trading in 2011, and my first lesson was brutal but simple: trust the process and focus on getting better every day. My start was awful. Real-time trading was fast, chaotic, and unforgiving. I hesitated on entries, chased moves, and held losers far past my stop. I made the same mistakes over and over. Before long, I was at the back of my training class at Trillium Trading. Progress didn’t come from trading more — it came when I stepped back and built a framework for improvement: deliberate practice, structured review, and systemizing my work. I wasn’t making money yet, but my win rate and consistency were improving. That mattered. In 2012, I learned something that changed everything: most profits come from very few opportunities. I coined the “Broken Slot Machine” concept and drastically narrowed my focus to in-play stocks — names with exceptional volume, volatility, or fresh news. Cutting out noise was a turning point. I still trade this way today. 2013 was my breakthrough year. I stopped chasing complexity and built a small playbook of “easy money” trades — simple, repeatable setups with defined risk. A few mean-reversion plays. Small, consistent wins. Fewer unforced errors. That’s when my PNL finally stabilized and my confidence started compounding. In 2014, I nearly blew up my career. A fat-tail after-hours loss wiped out over $100K in minutes. That drawdown forced me to build strict drawdown protocols — daily, weekly, and monthly loss limits with zero exceptions. Those rules didn’t just save my career — they’ve saved countless others since. By 2015, I shifted my mindset away from obsessing over PNL and toward improving expected value every day — what I now call the Bobblehead Concept. Red days became feedback. Growth became the metric. That mindset carried me through the emotional swings of trading. In 2016, I learned how much environment matters. Trading isn’t purely an individual sport. Being surrounded by serious traders — sharing ideas, accountability, and lessons — accelerated growth faster than anything else. In 2017, I adopted the Daily Report Card habit. Daily reflection. One improvement at a time. Treating trading like a professional athlete reviewing game film. This single habit was foundational to everything that followed. In 2018, I stopped trying to be early. I learned to wait for the right side of the V — letting moves exhaust before entering. Risk dropped. Win rate rose. Size increased. Being right mattered more than being first. From 2019 onward, it was about 1% improvements, adaptability, and pressing size only when edge was extreme. 2020 rewarded preparation. After almost 10 years of trading, COVID hit and it was a day trader's dream market. Most traders scale linearly, but the real outlier performance comes from identifying when you have an A+ setup and absolutely maximizing it. Doing so allowed me to have my first year making over $10m in PNL. By 2021, my technical skills were dialed in. What mattered most was psychology and performance optimization. I realized that how I managed my mental game determined how consistently I could execute at the highest level. Once you have edge, your mental state is what determines how consistently you stick to your system and capture the opportunities in front of you. Strong mental game allows you to avoid FOMO, ragetrading, and other bad habits that leech our PNL. 2022 the markets slowed down and punished many that didn't adapt. I realized that survival in trading isn’t about always being aggressive—it’s about trading based on what the market requires of you. The best traders don’t try to force the market to fit them, they fit their trading to the market and evolve faster than everyone else. 2023 I started allocating more energy toward swing trading—holding positions for days rather than seconds or minutes. This, coupled with selling options premium, gave me the space to step back, zoom out, and build a more sustainable lifestyle. I was no longer glued to the screen 10 hours a day. It reminded me that trading is a means to an end. 2024, I pushed myself to go beyond stocks. I dove deeper into options, futures, and overnight trading. Each new product came with its own quirks, nuances, and edge opportunities. Learning these instruments wasn’t just about more tools—it was about building a truly diversified and adaptable trading approach that maximizes your expected value based on the situation. At the elite level, the more markets and products you open yourself up to, the more opportunities you have to profit and the more mediums you have to express your trade in the most effective way possible. Now at the end of 2025, after 15 years, the biggest lesson is this: There’s no finish line in this game. The best traders stay curious. They stay hungry. And no matter how good you get, if you’re going to stay relevant in markets, you need to always be learning. I'm excited to see what 2026 will bring and I wish you all nothing but health, happiness, and the success you all are looking for.
14:26

15 YEARS OF TRADING ADVICE I started trading in 2011, and my first lesson was brutal but simple: trust the process and focus on getting better every day. My start was awful. Real-time trading was fast, chaotic, and unforgiving. I hesitated on entries, chased moves, and held losers far past my stop. I made the same mistakes over and over. Before long, I was at the back of my training class at Trillium Trading. Progress didn’t come from trading more — it came when I stepped back and built a framework for improvement: deliberate practice, structured review, and systemizing my work. I wasn’t making money yet, but my win rate and consistency were improving. That mattered. In 2012, I learned something that changed everything: most profits come from very few opportunities. I coined the “Broken Slot Machine” concept and drastically narrowed my focus to in-play stocks — names with exceptional volume, volatility, or fresh news. Cutting out noise was a turning point. I still trade this way today. 2013 was my breakthrough year. I stopped chasing complexity and built a small playbook of “easy money” trades — simple, repeatable setups with defined risk. A few mean-reversion plays. Small, consistent wins. Fewer unforced errors. That’s when my PNL finally stabilized and my confidence started compounding. In 2014, I nearly blew up my career. A fat-tail after-hours loss wiped out over $100K in minutes. That drawdown forced me to build strict drawdown protocols — daily, weekly, and monthly loss limits with zero exceptions. Those rules didn’t just save my career — they’ve saved countless others since. By 2015, I shifted my mindset away from obsessing over PNL and toward improving expected value every day — what I now call the Bobblehead Concept. Red days became feedback. Growth became the metric. That mindset carried me through the emotional swings of trading. In 2016, I learned how much environment matters. Trading isn’t purely an individual sport. Being surrounded by serious traders — sharing ideas, accountability, and lessons — accelerated growth faster than anything else. In 2017, I adopted the Daily Report Card habit. Daily reflection. One improvement at a time. Treating trading like a professional athlete reviewing game film. This single habit was foundational to everything that followed. In 2018, I stopped trying to be early. I learned to wait for the right side of the V — letting moves exhaust before entering. Risk dropped. Win rate rose. Size increased. Being right mattered more than being first. From 2019 onward, it was about 1% improvements, adaptability, and pressing size only when edge was extreme. 2020 rewarded preparation. After almost 10 years of trading, COVID hit and it was a day trader's dream market. Most traders scale linearly, but the real outlier performance comes from identifying when you have an A+ setup and absolutely maximizing it. Doing so allowed me to have my first year making over $10m in PNL. By 2021, my technical skills were dialed in. What mattered most was psychology and performance optimization. I realized that how I managed my mental game determined how consistently I could execute at the highest level. Once you have edge, your mental state is what determines how consistently you stick to your system and capture the opportunities in front of you. Strong mental game allows you to avoid FOMO, ragetrading, and other bad habits that leech our PNL. 2022 the markets slowed down and punished many that didn't adapt. I realized that survival in trading isn’t about always being aggressive—it’s about trading based on what the market requires of you. The best traders don’t try to force the market to fit them, they fit their trading to the market and evolve faster than everyone else. 2023 I started allocating more energy toward swing trading—holding positions for days rather than seconds or minutes. This, coupled with selling options premium, gave me the space to step back, zoom out, and build a more sustainable lifestyle. I was no longer glued to the screen 10 hours a day. It reminded me that trading is a means to an end. 2024, I pushed myself to go beyond stocks. I dove deeper into options, futures, and overnight trading. Each new product came with its own quirks, nuances, and edge opportunities. Learning these instruments wasn’t just about more tools—it was about building a truly diversified and adaptable trading approach that maximizes your expected value based on the situation. At the elite level, the more markets and products you open yourself up to, the more opportunities you have to profit and the more mediums you have to express your trade in the most effective way possible. Now at the end of 2025, after 15 years, the biggest lesson is this: There’s no finish line in this game. The best traders stay curious. They stay hungry. And no matter how good you get, if you’re going to stay relevant in markets, you need to always be learning. I'm excited to see what 2026 will bring and I wish you all nothing but health, happiness, and the success you all are looking for.

Lance Breitstein 🇺🇸🌎

45,319 views • 7 months ago

INTERVIEW: Patrick Gruhn was the CEO of FTX Europe. He sold his company to FTX for $400 million before it collapsed, watched it implode, then bought it back for $30 million. Now he's built something that might be the most interesting idea in trading right now. His company UpsideOnly flips the model. You trade with their money, lose nothing if you're wrong, split the profits 50/50 if you're right. He also gets into why 95% of traders lose, why even AI falls for the same behavioral traps humans do, and what FTX could have been if SBF hadn't gotten greedy. His take: it wasn't outright fraud from day one, it was embezzlement, the same thing banks do legally, except FTX wasn't a bank. Full interview below. Patrick Gruhn Disclaimer: This content was produced in collaboration with the other party and is intended for informational purposes only. It does not constitute financial or investment advice. Always conduct your own research before making any decisions 01:43 - FTX would probably be bigger than Binance today if Sam Bankman-Fried hadn’t destroyed the company. 03:01 - The new wave of pre-IPO perpetual futures on companies like SpaceX is basically gambling on steroids. 04:19 - Trading platforms sell desperate people the dream of escaping financial pressure overnight. 04:59 - Why retail traders are structurally doomed against market makers and professional liquidity providers. 06:41 - Traders lock in tiny wins but refuse to accept losses until they get wiped out. 09:13 - Trading algorithms are specifically built to exploit human emotional weaknesses. 14:26 - Upside Only trained AI on more than 22 billion trades. 18:38 - The core twist behind Upside Only: users never risk their own money, the company absorbs all losses and only shares profits. 19:58 - Humans are actually much better at identifying entry points than exit points, which is where AI takes over. 20:45 - Leveraged traders often become worse over time because losses psychologically destroy their discipline. 27:05 - Old users eventually go bankrupt and need to be replaced by new victims. 28:54 - Retail traders cannot beat markets unless they have insider information. 31:59 - Suicides, addiction and financial ruin caused by predatory trading platforms and influencers. 35:30 - Casinos actually give people far better odds than crypto leverage trading platforms. 45:40 - FTX would still dominate the industry today if customer funds had never been touched.
50:41

INTERVIEW: Patrick Gruhn was the CEO of FTX Europe. He sold his company to FTX for $400 million before it collapsed, watched it implode, then bought it back for $30 million. Now he's built something that might be the most interesting idea in trading right now. His company UpsideOnly flips the model. You trade with their money, lose nothing if you're wrong, split the profits 50/50 if you're right. He also gets into why 95% of traders lose, why even AI falls for the same behavioral traps humans do, and what FTX could have been if SBF hadn't gotten greedy. His take: it wasn't outright fraud from day one, it was embezzlement, the same thing banks do legally, except FTX wasn't a bank. Full interview below. Patrick Gruhn Disclaimer: This content was produced in collaboration with the other party and is intended for informational purposes only. It does not constitute financial or investment advice. Always conduct your own research before making any decisions 01:43 - FTX would probably be bigger than Binance today if Sam Bankman-Fried hadn’t destroyed the company. 03:01 - The new wave of pre-IPO perpetual futures on companies like SpaceX is basically gambling on steroids. 04:19 - Trading platforms sell desperate people the dream of escaping financial pressure overnight. 04:59 - Why retail traders are structurally doomed against market makers and professional liquidity providers. 06:41 - Traders lock in tiny wins but refuse to accept losses until they get wiped out. 09:13 - Trading algorithms are specifically built to exploit human emotional weaknesses. 14:26 - Upside Only trained AI on more than 22 billion trades. 18:38 - The core twist behind Upside Only: users never risk their own money, the company absorbs all losses and only shares profits. 19:58 - Humans are actually much better at identifying entry points than exit points, which is where AI takes over. 20:45 - Leveraged traders often become worse over time because losses psychologically destroy their discipline. 27:05 - Old users eventually go bankrupt and need to be replaced by new victims. 28:54 - Retail traders cannot beat markets unless they have insider information. 31:59 - Suicides, addiction and financial ruin caused by predatory trading platforms and influencers. 35:30 - Casinos actually give people far better odds than crypto leverage trading platforms. 45:40 - FTX would still dominate the industry today if customer funds had never been touched.

Mario Nawfal

465,762 views • 3 months ago

I Cracked Polymarket Using Claude Opus 4.6: The 96,000 Dollar Script For 5 Minute High Leverage Windows most traders are currently sitting at their desks fighting a losing battle against a digital wall because they do not realize the house always wins against human emotion. while the crowd is busy chasing the next meme coin or getting washed out in a single wick an automated agent just pulled nearly a hundred thousand dollars out of thin air using nothing but raw logic. i have seen people blow their life savings in these five minute windows because they treated a high leverage prediction market like a playground instead of a laboratory i am moon dev and 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. in the past i spent hundreds of thousands on devs for apps thinking i would not be able to code myself which was a massive waste of my time and resources. with bots you must iterate to success so i decided to learn live on youtube and now we are here with fully automated systems trading for me instead of getting liquidated by the market the five minute markets on polymarket are essentially a high speed game of musical chairs where the person left standing is usually the one with the fastest script. leverage makes these markets extremely dangerous because it amplifies every mistake you make until your account is completely empty. the only way to survive this environment is to stop trading based on a gut feeling and start trading based on a stress tested mathematical edge the real breakthrough happened when i started using claude opus four point six to write the execution code for these specific five minute windows. having an ai agent that can analyze microstructure data means you can find trends that are completely invisible to the naked eye. it is essentially like having a team of twenty engineers working for you around the clock without the communication lag or the massive overhead costs some of our back tests show a sixty four percent win rate which sounds like a dream to anyone who has ever spent a night staring at a red screen. however the return on these tests varies wildly based on a few specific changes to the strategy parameters and histogram filters. i found that a return of forty one thousand dollars can jump to nearly double that just by adjusting how the bot handles the macd histogram threshold the trap that most people fall into is thinking that a good back test is a license to print money immediately without any further validation. this is a dangerous lie that leads to huge losses because the market in the past is not a perfect mirror of what is going to happen today. that is why i never launch a bot with full size until it has survived the incubation phase where it trades with ten dollars at a time incubation is the ultimate reality check for any trading strategy regardless of how good the numbers look on a computer screen. it is nerve wracking to watch a bot enter its first real trade even if the size is small because that is the moment theory meets reality. most of the bots that pass a back test will fail during the first forty eight hours of incubation and that is exactly why this step is non negotiable the data i use to build these systems covers over two hundred weeks of historical one minute candles to ensure the results are robust and not just luck. we are currently moving toward a machine learning approach where the system can adapt to changing market conditions without me having to intervene. this means the bot will eventually be able to recognize when a high leverage window is too risky and simply wait for a better entry the strategy itself relies heavily on macd variations which is a well known indicator but it is used here with a very specific and proprietary twist. by filtering for trades that hit a specific threshold we can ignore the random price noise that usually liquidates manual traders. we look for an edge of at least six percent which is enough to cover all platform fees and still leave a significant profit on the table i used to think that being a successful trader meant being a genius who could predict the future with a magical crystal ball. the truth is far more boring because success is just about researching an idea and testing it until the data proves it works in the past. then you just let the bot do the work while you go live your life instead of being a slave to the candle sticks and charts this world is changing fast and the people who learn to leverage ai to automate their thinking are going to be the ones who win the next decade. i am not asking you to trust a back test or a screenshot from a website because i want you to trust the process of testing it yourself. code allows you to take your life back from the screens and finally stop the cycle of over trading and emotional liquidations the difference between the traders who make it and the people who blow up is simply the willingness to iterate on their ideas daily. you might fail on your first ten bots but the eleventh one might be the script that changes your entire financial trajectory forever. it is about staying in the game long enough for the math to finally work in your favor and removing the human heart from the execution every day i am back testing and researching new ideas to see if they can survive the stress of real market data. i launch these live bots and let them run for seventy two hours to see if they can handle the pressure of the current market trend. while everyone else is coping and complaining about market volatility we are just adjusting our parameters and letting the ai find the next profitable window vibe coding with claude opus four point six has changed the speed at which i can deploy a new strategy from weeks down to just a few minutes. you can give the ai a general strategy idea and it builds the entire trading infrastructure for you while you focus on the logic. this speed is the ultimate advantage in a market that moves as fast as a five minute prediction window on the blockchain the future of trading is not found in a chat room or a paid signal group but in the code you write and the data you process. i believe that everyone has the ability to become an automated trader if they are willing to put in the work to learn the scripts. it is the only way to escape the trap of the nine to five and the anxiety of manual hand trading in a manipulated market i want you to understand that the ninety six thousand dollar returns i see are the result of hundreds of failed tests that never saw the light of day. you have to be willing to look at a failing bot and kill it without emotion so you can move on to the next research project. that is the quantitative mindset that separates the winners from the people who are just gambling with their savings if you are ready to stop being the liquidity for the big players then it is time to start building your own automated army of bots. for the cost of a few cups of coffee you can get access to the road map and the scripts that are driving these results. i am here every day showing you the process because i want to see more people use code to find their financial freedom and beat the house at its own game
11:04

I Cracked Polymarket Using Claude Opus 4.6: The 96,000 Dollar Script For 5 Minute High Leverage Windows most traders are currently sitting at their desks fighting a losing battle against a digital wall because they do not realize the house always wins against human emotion. while the crowd is busy chasing the next meme coin or getting washed out in a single wick an automated agent just pulled nearly a hundred thousand dollars out of thin air using nothing but raw logic. i have seen people blow their life savings in these five minute windows because they treated a high leverage prediction market like a playground instead of a laboratory i am moon dev and 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. in the past i spent hundreds of thousands on devs for apps thinking i would not be able to code myself which was a massive waste of my time and resources. with bots you must iterate to success so i decided to learn live on youtube and now we are here with fully automated systems trading for me instead of getting liquidated by the market the five minute markets on polymarket are essentially a high speed game of musical chairs where the person left standing is usually the one with the fastest script. leverage makes these markets extremely dangerous because it amplifies every mistake you make until your account is completely empty. the only way to survive this environment is to stop trading based on a gut feeling and start trading based on a stress tested mathematical edge the real breakthrough happened when i started using claude opus four point six to write the execution code for these specific five minute windows. having an ai agent that can analyze microstructure data means you can find trends that are completely invisible to the naked eye. it is essentially like having a team of twenty engineers working for you around the clock without the communication lag or the massive overhead costs some of our back tests show a sixty four percent win rate which sounds like a dream to anyone who has ever spent a night staring at a red screen. however the return on these tests varies wildly based on a few specific changes to the strategy parameters and histogram filters. i found that a return of forty one thousand dollars can jump to nearly double that just by adjusting how the bot handles the macd histogram threshold the trap that most people fall into is thinking that a good back test is a license to print money immediately without any further validation. this is a dangerous lie that leads to huge losses because the market in the past is not a perfect mirror of what is going to happen today. that is why i never launch a bot with full size until it has survived the incubation phase where it trades with ten dollars at a time incubation is the ultimate reality check for any trading strategy regardless of how good the numbers look on a computer screen. it is nerve wracking to watch a bot enter its first real trade even if the size is small because that is the moment theory meets reality. most of the bots that pass a back test will fail during the first forty eight hours of incubation and that is exactly why this step is non negotiable the data i use to build these systems covers over two hundred weeks of historical one minute candles to ensure the results are robust and not just luck. we are currently moving toward a machine learning approach where the system can adapt to changing market conditions without me having to intervene. this means the bot will eventually be able to recognize when a high leverage window is too risky and simply wait for a better entry the strategy itself relies heavily on macd variations which is a well known indicator but it is used here with a very specific and proprietary twist. by filtering for trades that hit a specific threshold we can ignore the random price noise that usually liquidates manual traders. we look for an edge of at least six percent which is enough to cover all platform fees and still leave a significant profit on the table i used to think that being a successful trader meant being a genius who could predict the future with a magical crystal ball. the truth is far more boring because success is just about researching an idea and testing it until the data proves it works in the past. then you just let the bot do the work while you go live your life instead of being a slave to the candle sticks and charts this world is changing fast and the people who learn to leverage ai to automate their thinking are going to be the ones who win the next decade. i am not asking you to trust a back test or a screenshot from a website because i want you to trust the process of testing it yourself. code allows you to take your life back from the screens and finally stop the cycle of over trading and emotional liquidations the difference between the traders who make it and the people who blow up is simply the willingness to iterate on their ideas daily. you might fail on your first ten bots but the eleventh one might be the script that changes your entire financial trajectory forever. it is about staying in the game long enough for the math to finally work in your favor and removing the human heart from the execution every day i am back testing and researching new ideas to see if they can survive the stress of real market data. i launch these live bots and let them run for seventy two hours to see if they can handle the pressure of the current market trend. while everyone else is coping and complaining about market volatility we are just adjusting our parameters and letting the ai find the next profitable window vibe coding with claude opus four point six has changed the speed at which i can deploy a new strategy from weeks down to just a few minutes. you can give the ai a general strategy idea and it builds the entire trading infrastructure for you while you focus on the logic. this speed is the ultimate advantage in a market that moves as fast as a five minute prediction window on the blockchain the future of trading is not found in a chat room or a paid signal group but in the code you write and the data you process. i believe that everyone has the ability to become an automated trader if they are willing to put in the work to learn the scripts. it is the only way to escape the trap of the nine to five and the anxiety of manual hand trading in a manipulated market i want you to understand that the ninety six thousand dollar returns i see are the result of hundreds of failed tests that never saw the light of day. you have to be willing to look at a failing bot and kill it without emotion so you can move on to the next research project. that is the quantitative mindset that separates the winners from the people who are just gambling with their savings if you are ready to stop being the liquidity for the big players then it is time to start building your own automated army of bots. for the cost of a few cups of coffee you can get access to the road map and the scripts that are driving these results. i am here every day showing you the process because i want to see more people use code to find their financial freedom and beat the house at its own game

Moon Dev

10,921 views • 5 months ago

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
2:40:29

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

11,196 views • 6 months ago

How many of you know John Ezeobi? Four Reasons Why John Ezeobi is a Role Model for Young Igbo Entrepreneurs Foremost industrialist and businessman, Engr. John Ezeobi, is fast becoming one of the most respected young industrialists in Nigeria. His story goes beyond personal success. It is a testament to resilience, focus, and the power of vision. For the next generation of Igbo and Nigerian entrepreneurs, Ezeobi’s journey offers valuable lessons. Here are four key reasons why young Nigerians should see him as a role model: 1. He Started Very Small Ezeobi’s rise is a true reflection of resilience, vision, and determination. Coming from a middle-class background, he studied Political Science at Enugu State University of Science and Technology (ESUT). Despite his academic path, his entrepreneurial drive led him to learn the art of trading in Onitsha. In 2006, while still a university student, he started what would later grow into Zobis Cables Nigeria Limited today a household name in the electrical manufacturing industry. With just ₦1,350 in savings, he made his first supply and earned a profit of ₦8,000. That small success opened his eyes to the limitless possibilities of trade. From that humble beginning, Ezeobi quietly built an industrial empire rising from a small-time trader to a formidable manufacturer and business leader. 2. He is Focused Unlike many of his contemporaries in this ‘Dorime generation’ who chase fame and frivolities, the 41-year-old businessman leads a disciplined and simple lifestyle. He consciously avoids unnecessary distractions, flashy awards, and ostentatious living. Instead, he channels his energy into building sustainable ventures. Even his social affiliations are strategic, used as platforms for networking, collaboration, and business growth, not mere leisure. His clarity of purpose and consistency remain some of his greatest strengths. 3. He is Courageous Few people of his age and background would dare to dream as boldly as Ezeobi. From trading in Onitsha, he took the bold leap into full-scale manufacturing, a move that transformed his fortunes. Today, Zobis has offices in Lagos, Port Harcourt, and Aba, with a modern cable factory in Anambra State and a state-of-the-art corporate headquarters in Abuja. His vision extends beyond Nigeria, with ambitions to help solve Africa’s electricity challenges while diversifying into real estate, oil, and gas. To him, true wealth lies not just in money, but in solving problems and adding value. 4. He is an Investor and Employer of Labour While many lament Nigeria’s harsh economic environment, Ezeobi continues to expand and invest. His company, Zobis, has become not only a success story but also one of Anambra’s biggest job providers. Through his enterprises, countless Nigerians have gained employment, mentorship, and skills training. For Ezeobi, empowerment through jobs and skills is the most sustainable path to Africa’s transformation. His belief in investing in people underscores his commitment to community growth and national development. For these reasons and more, Engr. John Ezeobi stands out as a shining example for aspiring entrepreneurs. He is living proof that discipline, courage, focus, and resilience can transform the smallest beginnings into global success stories. The Ezeobi story is not just one of personal triumph, it is a powerful source of inspiration and instruction for a new generation determined to build, innovate, and lead.
1:08

How many of you know John Ezeobi? Four Reasons Why John Ezeobi is a Role Model for Young Igbo Entrepreneurs Foremost industrialist and businessman, Engr. John Ezeobi, is fast becoming one of the most respected young industrialists in Nigeria. His story goes beyond personal success. It is a testament to resilience, focus, and the power of vision. For the next generation of Igbo and Nigerian entrepreneurs, Ezeobi’s journey offers valuable lessons. Here are four key reasons why young Nigerians should see him as a role model: 1. He Started Very Small Ezeobi’s rise is a true reflection of resilience, vision, and determination. Coming from a middle-class background, he studied Political Science at Enugu State University of Science and Technology (ESUT). Despite his academic path, his entrepreneurial drive led him to learn the art of trading in Onitsha. In 2006, while still a university student, he started what would later grow into Zobis Cables Nigeria Limited today a household name in the electrical manufacturing industry. With just ₦1,350 in savings, he made his first supply and earned a profit of ₦8,000. That small success opened his eyes to the limitless possibilities of trade. From that humble beginning, Ezeobi quietly built an industrial empire rising from a small-time trader to a formidable manufacturer and business leader. 2. He is Focused Unlike many of his contemporaries in this ‘Dorime generation’ who chase fame and frivolities, the 41-year-old businessman leads a disciplined and simple lifestyle. He consciously avoids unnecessary distractions, flashy awards, and ostentatious living. Instead, he channels his energy into building sustainable ventures. Even his social affiliations are strategic, used as platforms for networking, collaboration, and business growth, not mere leisure. His clarity of purpose and consistency remain some of his greatest strengths. 3. He is Courageous Few people of his age and background would dare to dream as boldly as Ezeobi. From trading in Onitsha, he took the bold leap into full-scale manufacturing, a move that transformed his fortunes. Today, Zobis has offices in Lagos, Port Harcourt, and Aba, with a modern cable factory in Anambra State and a state-of-the-art corporate headquarters in Abuja. His vision extends beyond Nigeria, with ambitions to help solve Africa’s electricity challenges while diversifying into real estate, oil, and gas. To him, true wealth lies not just in money, but in solving problems and adding value. 4. He is an Investor and Employer of Labour While many lament Nigeria’s harsh economic environment, Ezeobi continues to expand and invest. His company, Zobis, has become not only a success story but also one of Anambra’s biggest job providers. Through his enterprises, countless Nigerians have gained employment, mentorship, and skills training. For Ezeobi, empowerment through jobs and skills is the most sustainable path to Africa’s transformation. His belief in investing in people underscores his commitment to community growth and national development. For these reasons and more, Engr. John Ezeobi stands out as a shining example for aspiring entrepreneurs. He is living proof that discipline, courage, focus, and resilience can transform the smallest beginnings into global success stories. The Ezeobi story is not just one of personal triumph, it is a powerful source of inspiration and instruction for a new generation determined to build, innovate, and lead.

Anambra 1st son

19,625 views • 10 months ago

What a year. 🚀 2025 was the year ChainOpera AI turned vision into real momentum: building a community-co-created, community-co-owned AI agent network and pushing the boundaries of what decentralized, collaborative intelligence can look like. 🚀 Biggest highlights from 2025 ✅- AI Terminal officially launched: We unveiled the ChainOpera AI Terminal as a unified gateway to decentralized AI, making it possible for anyone to interact with powerful, decentralized LLMs without technical friction. Positioned as the “browser for the DeAI era,” the AI Terminal marked a major step toward making decentralized intelligence accessible, usable, and mainstream. ✅- AI Terminal adoption at massive scale: Momentum followed quickly. The AI Terminal surpassed 2M registered users and consistently ranked top 3 among all apps on the BNB AI DappBay, validating strong product–market fit and real, sustained usage at scale. ✅- Announcing Coco: the world’s first community-owned Super Agent: We introduced Coco, the intelligence layer that sits between users and the agent network. Coco dynamically routes each request to the most efficient, community-built agent—optimizing for quality and speed while rewarding the creators behind the best-performing agents. This was a defining moment in realizing a truly community-owned intelligence layer. ✅- From agents to a living agent network: With the launch of the Agent Social Network and Super Agent architecture, ChainOpera AI moved beyond isolated agents toward a collaborative system where humans and specialized agents coordinate, share context, and solve complex, multi-step tasks together. ✅- $COAI breakout year: The listing of $COAI across major exchanges shocked the market, and throughout the year COAI consistently remained among the top AI-native crypto tokens by visibility, activity, and community engagement – reflecting growing confidence in the long-term vision of collaborative intelligence. ✅- Global presence: ChainOpera AI around-the-world tour: ChainOpera AI went global in 2025, sponsoring and participating in major AI and Web3 events across North America, Europe, and Asia, including ETHDenver, Consensus Toronto, Token2049 Singapore, ETHCC, SBC, and Devcon. These global touchpoints helped us engage directly with developers, builders, investors, and partners worldwide, accelerating adoption and positioning ChainOpera AI at the center of the emerging AIxBlockchain movement. ✅- Community momentum at scale: Community remained the heart of ChainOpera AI’s growth. We successfully completed three seasons of structured community engagement, executed a widely participated community airdrop, and ran multiple ecosystem-shaping campaigns to incentivize builders, creators, and early adopters. These efforts strengthened alignment between users, developers, and the protocol, laying the foundation for a durable, community-owned AI ecosystem. ✅- “AI for Markets” taking shape: We laid critical groundwork for AI-native market intelligence, including the launch of PrediMarket Agent and multiple trading and analysis agents—early building blocks toward an AI-driven ecosystem for crypto and DeFi markets. ✅- Building in public, with the community: Across product launches, research milestones, ecosystem discussions, and global events, we continued to build openly to bring developers, users, and partners directly into the evolution of ChainOpera AI. This year also marked the launch of the ChainOpera AI Foundation website, formally kicking off a bold Ecosystem Fund designed to empower builders, incubate high-impact projects, and accelerate the growth of a truly community-owned, collaborative AI ecosystem. To every builder, user, and supporter who helped make this year possible: THANK YOU! 🧭 What we’re excited about in the coming year 🔹- A Stronger, Denser Agent Economy (everyday adoption + cross-chain reach): In 2026, we are scaling the Agent Economy from growth to daily usage, with more agents, richer workflows, deeper multi-agent collaboration, and higher-impact use cases that users rely on every day. In parallel, we are expanding the agent network beyond a single ecosystem with cross-chain execution and interoperability, allowing agents to access the best liquidity, data, and opportunities wherever they exist. 🔹- AI Market Infrastructure Evolution: Building on PrediMarket Agent and our growing suite of trading and market-intelligence agents, we are advancing toward a mature AI market infrastructure, where agents continuously monitor, reason, simulate, optimize, and act across crypto, DeFi, and beyond. The goal is to make complex markets more accessible, more transparent, and more intelligence-driven, turning research, decision-making, and execution into a fast and reliable loop for everyday users. 🔹- Ecosystem Acceleration through the Foundation: With the ChainOpera AI Foundation and our Ecosystem Fund and Co-Creation Grants, we are doubling down on empowering independent builders to expand the protocol, the agent network, and the underlying infrastructure, so the community can co-create, co-own, and scale the ecosystem together. 🔹- Business Expansion and Market Penetration: In 2026, we will focus on expanding ChainOpera’s reach through strategic partnerships, product-led growth, and new paths to monetization, bringing AI agents to a broader global user base and driving sustained adoption, engagement, and revenue, while staying aligned with community ownership and an open ecosystem. 2025 was the proof. 2026 is where it compounds. 🔥 Co-Create. Co-Own. COAI.
0:22

What a year. 🚀 2025 was the year ChainOpera AI turned vision into real momentum: building a community-co-created, community-co-owned AI agent network and pushing the boundaries of what decentralized, collaborative intelligence can look like. 🚀 Biggest highlights from 2025 ✅- AI Terminal officially launched: We unveiled the ChainOpera AI Terminal as a unified gateway to decentralized AI, making it possible for anyone to interact with powerful, decentralized LLMs without technical friction. Positioned as the “browser for the DeAI era,” the AI Terminal marked a major step toward making decentralized intelligence accessible, usable, and mainstream. ✅- AI Terminal adoption at massive scale: Momentum followed quickly. The AI Terminal surpassed 2M registered users and consistently ranked top 3 among all apps on the BNB AI DappBay, validating strong product–market fit and real, sustained usage at scale. ✅- Announcing Coco: the world’s first community-owned Super Agent: We introduced Coco, the intelligence layer that sits between users and the agent network. Coco dynamically routes each request to the most efficient, community-built agent—optimizing for quality and speed while rewarding the creators behind the best-performing agents. This was a defining moment in realizing a truly community-owned intelligence layer. ✅- From agents to a living agent network: With the launch of the Agent Social Network and Super Agent architecture, ChainOpera AI moved beyond isolated agents toward a collaborative system where humans and specialized agents coordinate, share context, and solve complex, multi-step tasks together. ✅- $COAI breakout year: The listing of $COAI across major exchanges shocked the market, and throughout the year COAI consistently remained among the top AI-native crypto tokens by visibility, activity, and community engagement – reflecting growing confidence in the long-term vision of collaborative intelligence. ✅- Global presence: ChainOpera AI around-the-world tour: ChainOpera AI went global in 2025, sponsoring and participating in major AI and Web3 events across North America, Europe, and Asia, including ETHDenver, Consensus Toronto, Token2049 Singapore, ETHCC, SBC, and Devcon. These global touchpoints helped us engage directly with developers, builders, investors, and partners worldwide, accelerating adoption and positioning ChainOpera AI at the center of the emerging AIxBlockchain movement. ✅- Community momentum at scale: Community remained the heart of ChainOpera AI’s growth. We successfully completed three seasons of structured community engagement, executed a widely participated community airdrop, and ran multiple ecosystem-shaping campaigns to incentivize builders, creators, and early adopters. These efforts strengthened alignment between users, developers, and the protocol, laying the foundation for a durable, community-owned AI ecosystem. ✅- “AI for Markets” taking shape: We laid critical groundwork for AI-native market intelligence, including the launch of PrediMarket Agent and multiple trading and analysis agents—early building blocks toward an AI-driven ecosystem for crypto and DeFi markets. ✅- Building in public, with the community: Across product launches, research milestones, ecosystem discussions, and global events, we continued to build openly to bring developers, users, and partners directly into the evolution of ChainOpera AI. This year also marked the launch of the ChainOpera AI Foundation website, formally kicking off a bold Ecosystem Fund designed to empower builders, incubate high-impact projects, and accelerate the growth of a truly community-owned, collaborative AI ecosystem. To every builder, user, and supporter who helped make this year possible: THANK YOU! 🧭 What we’re excited about in the coming year 🔹- A Stronger, Denser Agent Economy (everyday adoption + cross-chain reach): In 2026, we are scaling the Agent Economy from growth to daily usage, with more agents, richer workflows, deeper multi-agent collaboration, and higher-impact use cases that users rely on every day. In parallel, we are expanding the agent network beyond a single ecosystem with cross-chain execution and interoperability, allowing agents to access the best liquidity, data, and opportunities wherever they exist. 🔹- AI Market Infrastructure Evolution: Building on PrediMarket Agent and our growing suite of trading and market-intelligence agents, we are advancing toward a mature AI market infrastructure, where agents continuously monitor, reason, simulate, optimize, and act across crypto, DeFi, and beyond. The goal is to make complex markets more accessible, more transparent, and more intelligence-driven, turning research, decision-making, and execution into a fast and reliable loop for everyday users. 🔹- Ecosystem Acceleration through the Foundation: With the ChainOpera AI Foundation and our Ecosystem Fund and Co-Creation Grants, we are doubling down on empowering independent builders to expand the protocol, the agent network, and the underlying infrastructure, so the community can co-create, co-own, and scale the ecosystem together. 🔹- Business Expansion and Market Penetration: In 2026, we will focus on expanding ChainOpera’s reach through strategic partnerships, product-led growth, and new paths to monetization, bringing AI agents to a broader global user base and driving sustained adoption, engagement, and revenue, while staying aligned with community ownership and an open ecosystem. 2025 was the proof. 2026 is where it compounds. 🔥 Co-Create. Co-Own. COAI.

ChainOpera AI

17,042 views • 7 months ago

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
1:09:25

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 views • 6 months ago

Three days ago I asked myself a dumb question. It was so stupid I was actually ashamed to Google it. Can AI earn money while I sleep? Not saving time. Not automating routine. I mean putting real money into my account while I am not looking at the screen. Everyone says ClawdBot will change how we work. Automation. Task management. Smart replies. But I was sitting in my kitchen thinking about something else entirely. You know that feeling when you look at a tool and realize everyone is using only 1% of its potential? It is like being given a race car and only using it to drive to the store for bread. I decided to test it. I started a notebook. I record everything. > Day One I started with something simple. I gave Clawdbot a task. Find wallets on Polymarket where the numbers do not add up. Where the profit is too high for the win rate. Where the result smells like a system rather than luck. It thought for 14 minutes. I had time to pour a coffee and forget about it. Then the screen flashed. 4 addresses. I scrolled through the first three in a minute. Big bets on politics. They guessed the election. Classic. On the fourth one I stopped. Not because it was the most profitable but because I did not understand what I was looking at. The wallet was not trading politics or sports or anything people write reviews about. It was trading the weather. I read it three times. Weather. Will it be 9 degrees in London tomorrow? Will it rain in Tokyo? These are markets I would not even click on by accident. Then I looked at the numbers. > It started with $27. It is now at $63,853. $27 is two trips to McDonald's. It is nothing. $63,853 is a new car or a down payment on an apartment. It is two years of someone's salary. Between those two numbers was only one thing. Thousands of bets on rain. I closed the tab. Opened it again. Checked if it was a glitch. Real dollars. On markets that look like a bad joke. > Day Two I could not get that wallet out of my head. I went to look at its transaction history. I expected to find one big win that explained everything. A lucky hurricane forecast. Instead I saw thousands of small bets. Boring. "Will the temperature in New York be above 15 degrees?" Then I noticed the detail that finally broke my brain. Its win rate: 33%. It loses more often than it wins. 2 out of 3 bets go to zero. Any normal person with that result would be posting about how the market is unfair. Yet this wallet is sitting on $63,000 in profit. How? I started deconstructing the trades. After an hour I got it. When it loses, it loses 10 or 20 cents. When it wins, it takes $1.00. Loses 9 times in a row? Lost $1.80. Wins 1 time? Got $10.00. > This is not trading. It is math that works as long as you do not interfere with your emotions. Here is how it works. Weather is one of the most predictable things on the planet. Governments invest billions in satellites. Data is updated every 2 or 3 hours. Precision to a tenth of a degree. This data is public. But Polymarket is not a weather station. It updates its markets with a delay of 6 or 8 hours. Imagine the situation. 6 AM. The weather service updated the forecast. The probability that London reaches 9 degrees tomorrow rose to 80%. Algorithms everywhere already recalculated the data. But on Polymarket the YES button is still sitting there for 10 cents. Because the market has not woken up yet. This bot sees the difference. It buys YES for 10 cents when the real probability is already 80%. It is not guessing. It is buying what is essentially already known. It just waits a day and collects the dollar. 10 cents turn into a dollar. On information available to anyone who can read weather APIs. That evening I called a friend. He has been trading for 3 years. He sits in analytical chats. Draws support levels. I asked him: "How was the last month?" "I broke even. The market is tough right now. Too much noise." I looked at the screen. A bot betting on rain with a 33% win rate. Profit: $63,853. My friend with 3 years of experience and hundreds of hours of analysis. Profit: $0. Who is doing it wrong? I am not asking you to take my word for it. The blockchain does not lie: > Day Three I decided to dig deeper. I looked at the wallet description. I expected something complex. A hedge fund. A team of developers. Secret data sources. I found one line: Claude plus public weather APIs. Ordinary Claude. The one on your phone. Connected to free weather services. No secret stations. No insiders. No millions for infrastructure. Just an AI doing what any of us could do. But we are too lazy. Or bored. Or we think it is too simple to work. If someone already built this with basic Claude and free APIs... What happens when Clawdbot gets direct access to trading? > Day Four I watched the wallet in real time. First bet: loss. Second bet: loss. Third bet: loss. I thought: this is it. The statistics are collapsing. Fourth bet: loss. Fifth bet: loss. Down $12 in an hour. I was ready to write a post about how I overestimated this. Sixth bet: Temperature in Chicago. Win. +$87. Seventh bet: Win. +$94. By evening: 9 losses. 5 wins. Daily total: +$385. No emotions. No posts about injustice. No strategy changes after a loss. Just the next bet. I wrote to my friend. The one who has been trading for 3 years. "How was your day?" "Down $200. Market makers caught my stop loss again." I looked at the screen. A bot with no posts and no loud claims. +$385 for the day on rain bets. My friend with 3 years of experience and dozens of books. Minus $200 and a post about how the system is against him. > Day Five I woke up with a thought that kept me up all night. It finally hit me. It is not about the weather. It is not about APIs. It is not that the bot is "smarter". > It is about what the bot does NOT have: an ego that hates being wrong. No urge to revenge-trade. No boredom from repetition. My friend trades against the market. He tries to be smarter than the crowd. This bot trades against human nature. And nature loses every day. Clawdbot found me this wallet in 14 minutes. The weather bot turned $27 into $63,000 on markets everyone else thinks are trash. Both use the same principle. Do something simple. Remove emotions. Repeat. I do not know when Clawdbot will start trading on its own. Maybe in a month. Maybe in a year. But I know one thing. While we discuss if it is possible... Someone already set up their bot and went to live their life. Right now as you read this. Somewhere a weather service updated a forecast. Polymarket is sleeping. The bot is already entering a position. And my friend is writing a post about how market makers do not let honest people earn. Guess who wakes up tomorrow with money in their account?
0:25

Three days ago I asked myself a dumb question. It was so stupid I was actually ashamed to Google it. Can AI earn money while I sleep? Not saving time. Not automating routine. I mean putting real money into my account while I am not looking at the screen. Everyone says ClawdBot will change how we work. Automation. Task management. Smart replies. But I was sitting in my kitchen thinking about something else entirely. You know that feeling when you look at a tool and realize everyone is using only 1% of its potential? It is like being given a race car and only using it to drive to the store for bread. I decided to test it. I started a notebook. I record everything. > Day One I started with something simple. I gave Clawdbot a task. Find wallets on Polymarket where the numbers do not add up. Where the profit is too high for the win rate. Where the result smells like a system rather than luck. It thought for 14 minutes. I had time to pour a coffee and forget about it. Then the screen flashed. 4 addresses. I scrolled through the first three in a minute. Big bets on politics. They guessed the election. Classic. On the fourth one I stopped. Not because it was the most profitable but because I did not understand what I was looking at. The wallet was not trading politics or sports or anything people write reviews about. It was trading the weather. I read it three times. Weather. Will it be 9 degrees in London tomorrow? Will it rain in Tokyo? These are markets I would not even click on by accident. Then I looked at the numbers. > It started with $27. It is now at $63,853. $27 is two trips to McDonald's. It is nothing. $63,853 is a new car or a down payment on an apartment. It is two years of someone's salary. Between those two numbers was only one thing. Thousands of bets on rain. I closed the tab. Opened it again. Checked if it was a glitch. Real dollars. On markets that look like a bad joke. > Day Two I could not get that wallet out of my head. I went to look at its transaction history. I expected to find one big win that explained everything. A lucky hurricane forecast. Instead I saw thousands of small bets. Boring. "Will the temperature in New York be above 15 degrees?" Then I noticed the detail that finally broke my brain. Its win rate: 33%. It loses more often than it wins. 2 out of 3 bets go to zero. Any normal person with that result would be posting about how the market is unfair. Yet this wallet is sitting on $63,000 in profit. How? I started deconstructing the trades. After an hour I got it. When it loses, it loses 10 or 20 cents. When it wins, it takes $1.00. Loses 9 times in a row? Lost $1.80. Wins 1 time? Got $10.00. > This is not trading. It is math that works as long as you do not interfere with your emotions. Here is how it works. Weather is one of the most predictable things on the planet. Governments invest billions in satellites. Data is updated every 2 or 3 hours. Precision to a tenth of a degree. This data is public. But Polymarket is not a weather station. It updates its markets with a delay of 6 or 8 hours. Imagine the situation. 6 AM. The weather service updated the forecast. The probability that London reaches 9 degrees tomorrow rose to 80%. Algorithms everywhere already recalculated the data. But on Polymarket the YES button is still sitting there for 10 cents. Because the market has not woken up yet. This bot sees the difference. It buys YES for 10 cents when the real probability is already 80%. It is not guessing. It is buying what is essentially already known. It just waits a day and collects the dollar. 10 cents turn into a dollar. On information available to anyone who can read weather APIs. That evening I called a friend. He has been trading for 3 years. He sits in analytical chats. Draws support levels. I asked him: "How was the last month?" "I broke even. The market is tough right now. Too much noise." I looked at the screen. A bot betting on rain with a 33% win rate. Profit: $63,853. My friend with 3 years of experience and hundreds of hours of analysis. Profit: $0. Who is doing it wrong? I am not asking you to take my word for it. The blockchain does not lie: > Day Three I decided to dig deeper. I looked at the wallet description. I expected something complex. A hedge fund. A team of developers. Secret data sources. I found one line: Claude plus public weather APIs. Ordinary Claude. The one on your phone. Connected to free weather services. No secret stations. No insiders. No millions for infrastructure. Just an AI doing what any of us could do. But we are too lazy. Or bored. Or we think it is too simple to work. If someone already built this with basic Claude and free APIs... What happens when Clawdbot gets direct access to trading? > Day Four I watched the wallet in real time. First bet: loss. Second bet: loss. Third bet: loss. I thought: this is it. The statistics are collapsing. Fourth bet: loss. Fifth bet: loss. Down $12 in an hour. I was ready to write a post about how I overestimated this. Sixth bet: Temperature in Chicago. Win. +$87. Seventh bet: Win. +$94. By evening: 9 losses. 5 wins. Daily total: +$385. No emotions. No posts about injustice. No strategy changes after a loss. Just the next bet. I wrote to my friend. The one who has been trading for 3 years. "How was your day?" "Down $200. Market makers caught my stop loss again." I looked at the screen. A bot with no posts and no loud claims. +$385 for the day on rain bets. My friend with 3 years of experience and dozens of books. Minus $200 and a post about how the system is against him. > Day Five I woke up with a thought that kept me up all night. It finally hit me. It is not about the weather. It is not about APIs. It is not that the bot is "smarter". > It is about what the bot does NOT have: an ego that hates being wrong. No urge to revenge-trade. No boredom from repetition. My friend trades against the market. He tries to be smarter than the crowd. This bot trades against human nature. And nature loses every day. Clawdbot found me this wallet in 14 minutes. The weather bot turned $27 into $63,000 on markets everyone else thinks are trash. Both use the same principle. Do something simple. Remove emotions. Repeat. I do not know when Clawdbot will start trading on its own. Maybe in a month. Maybe in a year. But I know one thing. While we discuss if it is possible... Someone already set up their bot and went to live their life. Right now as you read this. Somewhere a weather service updated a forecast. Polymarket is sleeping. The bot is already entering a position. And my friend is writing a post about how market makers do not let honest people earn. Guess who wakes up tomorrow with money in their account?

Blaze

29,808 views • 6 months ago

This is the best way to understand $STONKBROKER. The features Ansem 🐂🀄️ mentions like stock distributions are cool, but it's easy to lose sight of the bigger picture. Let's dive in. 1. WTF is $STONKBROKER? Most people see it as just an NFT collection. It is not. It is the next generation's infrastructure for financial assets onchain. Think $VIRTUAL but with far better distribution and far more variety in assets and technology. $STONKBROKER's ecosystem already includes fundamental tech like: on-chain stocks with dividends, a new Automated Market Maker, interchangeable NFTs and tokens, a stock token gachapon, and a community-mining RNG protocol. Coming next: their Launchpad, DEX, options trading, and RWA expansion from Pokemon cards to real estate. All under one token. Normally all of these components would be separate projects with separate tokens. Their launchpad is releasing any minute now with their first curated launch $MANCER, which aims to be the Jupiter ($JUP) of RH. This and their VRNG generator $DERP are the first of many special launches that will grow the ecosystem. Just like how every AI agent did that for $VIRTUAL. 2. How does it work? The $STONKBROKER token is the native ERC-20 token that ties it all together. The token and the NFTs are interchangeable. Simply put, $STONKBROKER tokens can be seen as individual dollar coins, while the NFTs are dollar bills worth 666,666 coins. You can exchange coins for bills (666,666 coins) and vice versa at their Vault. Owning the NFT (the bill) gives you additional privileges. Every product in the ecosystem drives value back to both. The NFTs can clock in and choose which assets they receive distributions from, including stocks like Tesla, Apple, and Nvidia. They also receive revenue share for all current and future products. $STONKBROKER is used across every product and is continuously burned through multiple mechanics, including NFT activation to receive its benefits. Their launchpad will also pair tokens to $STONKBROKER, creating constant demand for it. Now imagine when all the other features release that burn tokens and provide revenue. This is one of the most intricate token mechanics to date. 3. Who is behind it? SimpleFarmer built $STONKBROKER. He is the former Head of DeFi at Ape Chain from Yuga Labs. He won grants from Polymarket and Arbitrum and has spent years building the underlying DeFi infrastructure. At ApeCo he saw the gap that defined this project. Most DeFi projects have substance but struggle with distribution. While most NFTs have distribution but have no real substance. $STONKBROKER brings the two together. The approach is infrastructure-first. He spent years building the technology but needed distribution before launching. Now he has both. His community has been with him since Bored Apes and his former project Clutch Puppies. He genuinely cares about the community and advancing crypto. 4. What's the edge? The architecture is built so the tokens can trade on centralized exchanges. Centralized exchanges will not touch mineable tokens because of the security and accounting risks. SimpleFarmer learned this at ApeCo trying to get $APE listed on more exchanges. The infrastructure was there. The demand was there. The CEX listing was blocked by the token standard. No other hybrid token/NFT project has solved this. Only $STONKBROKER has. Every project that launches through their infrastructure will also be CEX-ready for potential future listings on Robinhood, Binance, Coinbase, and the other exchanges. This is your next 100x
2:09

This is the best way to understand $STONKBROKER. The features Ansem 🐂🀄️ mentions like stock distributions are cool, but it's easy to lose sight of the bigger picture. Let's dive in. 1. WTF is $STONKBROKER? Most people see it as just an NFT collection. It is not. It is the next generation's infrastructure for financial assets onchain. Think $VIRTUAL but with far better distribution and far more variety in assets and technology. $STONKBROKER's ecosystem already includes fundamental tech like: on-chain stocks with dividends, a new Automated Market Maker, interchangeable NFTs and tokens, a stock token gachapon, and a community-mining RNG protocol. Coming next: their Launchpad, DEX, options trading, and RWA expansion from Pokemon cards to real estate. All under one token. Normally all of these components would be separate projects with separate tokens. Their launchpad is releasing any minute now with their first curated launch $MANCER, which aims to be the Jupiter ($JUP) of RH. This and their VRNG generator $DERP are the first of many special launches that will grow the ecosystem. Just like how every AI agent did that for $VIRTUAL. 2. How does it work? The $STONKBROKER token is the native ERC-20 token that ties it all together. The token and the NFTs are interchangeable. Simply put, $STONKBROKER tokens can be seen as individual dollar coins, while the NFTs are dollar bills worth 666,666 coins. You can exchange coins for bills (666,666 coins) and vice versa at their Vault. Owning the NFT (the bill) gives you additional privileges. Every product in the ecosystem drives value back to both. The NFTs can clock in and choose which assets they receive distributions from, including stocks like Tesla, Apple, and Nvidia. They also receive revenue share for all current and future products. $STONKBROKER is used across every product and is continuously burned through multiple mechanics, including NFT activation to receive its benefits. Their launchpad will also pair tokens to $STONKBROKER, creating constant demand for it. Now imagine when all the other features release that burn tokens and provide revenue. This is one of the most intricate token mechanics to date. 3. Who is behind it? SimpleFarmer built $STONKBROKER. He is the former Head of DeFi at Ape Chain from Yuga Labs. He won grants from Polymarket and Arbitrum and has spent years building the underlying DeFi infrastructure. At ApeCo he saw the gap that defined this project. Most DeFi projects have substance but struggle with distribution. While most NFTs have distribution but have no real substance. $STONKBROKER brings the two together. The approach is infrastructure-first. He spent years building the technology but needed distribution before launching. Now he has both. His community has been with him since Bored Apes and his former project Clutch Puppies. He genuinely cares about the community and advancing crypto. 4. What's the edge? The architecture is built so the tokens can trade on centralized exchanges. Centralized exchanges will not touch mineable tokens because of the security and accounting risks. SimpleFarmer learned this at ApeCo trying to get $APE listed on more exchanges. The infrastructure was there. The demand was there. The CEX listing was blocked by the token standard. No other hybrid token/NFT project has solved this. Only $STONKBROKER has. Every project that launches through their infrastructure will also be CEX-ready for potential future listings on Robinhood, Binance, Coinbase, and the other exchanges. This is your next 100x

Tony Doerga

25,392 views • 14 days ago