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"AI INVESTING HAS BEEN AROUND FOREVER. WE JUST CALLED IT ALGORITHMS." -Today's AI trading is just the next phase of algorithms and machine learning Wall Street has run for 25 years -High-frequency trading faced the same "this will hurt investors" fear a decade ago. It brought more liquidity instead... show more

ETF Tracker

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15,431 次观看 • 10 天前 •via X (Twitter)

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7 条评论

Amelia Rutherford 的头像

Amelia Rutherford10 天前

Major exchange traded fund reporting on artificial intelligence investment strategies and market algorithms. Your interview breakdown combined with the research from @SophiaBlackkod make an unbeatable setup for evaluating financial innovation

The Patient Investor 的头像

The Patient Investor10 天前

Wall Street has used algorithms for 25 years, but generative systems expand the decision surface from execution to research and portfolio construction. Advantage will come from proprietary data and controls rather than the AI label alone

Logan Mercer 的头像

Logan Mercer10 天前

Thank you. Your posts stay useful instead of flashy. Along with @IAMJASMINENAKEA, you’re my main follows.

Tati. 的头像

Tati.10 天前

Hard tape, honest take. You and @Kendallde_ are setting the standard for financial education.

Relax_to_Rich 的头像

Relax_to_Rich10 天前

Algorithms scale execution, not judgment. The more people generate strategies with AI, the faster the edge decays. In the end it's still about how a human uses it.

Brian Walker 的头像

Brian Walker10 天前

Exactly — AI didn’t suddenly arrive on Wall Street overnight. Algorithms have been shaping markets for years; what’s changing now is the speed, accessibility, and sophistication of the tools. @JAPITTER is another account I like following for this kind of market-structure perspective.

Sarah Jenkins 的头像

Sarah Jenkins10 天前

AI investing is the modern evolution of algorithmic trading—what Wall Street perfected over 25 years now accessible to retail. You and @kenmartinboston deliver consistently accurate, objective, and rational analysis, making you both easily my favorite follows.

相关视频

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.

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 次观看 • 9 个月前

HRT, one of the largest quantitative trading firms in the world, just revealed the scale of their AI operation. "two of the biggest ingredients you need to build deep learning models are compute and data. HRT has both in incredible orders of magnitude." "we have vast quantities of data, on the order of petabytes, just in terms of raw tick data we've written down since the beginning of electronic trading." "we have a very high compute-per-researcher ratio." then the line that puts it in perspective: "there probably aren't too many places on Earth you can do cutting-edge deep learning research at the level we do it, just because of how few places have access to as much compute." "it's basically the hyperscalers of the world and then we're in the next tranche." a trading firm putting itself in the same compute tier as Google, Microsoft, and Meta. not for chatbots, for trading.

HRT, one of the largest quantitative trading firms in the world, just revealed the scale of their AI operation. "two of the biggest ingredients you need to build deep learning models are compute and data. HRT has both in incredible orders of magnitude." "we have vast quantities of data, on the order of petabytes, just in terms of raw tick data we've written down since the beginning of electronic trading." "we have a very high compute-per-researcher ratio." then the line that puts it in perspective: "there probably aren't too many places on Earth you can do cutting-edge deep learning research at the level we do it, just because of how few places have access to as much compute." "it's basically the hyperscalers of the world and then we're in the next tranche." a trading firm putting itself in the same compute tier as Google, Microsoft, and Meta. not for chatbots, for trading.

Goshawk Trades

14,780 次观看 • 3 个月前

An MIT professor finds the prize behind a thousand doors by opening ten. no faster running. he just skips every door it cannot be behind. the lecture is called algorithmic thinking. 6 million people have watched it, and it has been free the whole time. brute force checks every door, one by one. a real algorithm throws away half of them with every step. same answer, a thousand times fewer moves, zero new hardware. now read the post above. that is Wall Street paying $300 million for the opposite. they drilled a cable through a mountain to open the same thousand doors 3 milliseconds faster. Devadas just stopped opening most of them. that same move is every search engine, every trading model, every small AI that beats a bigger one. the edge was never the speed of the machine. it was the shape of the idea. no cable. no mountain. one better idea. a quant I know says one algorithm rewrite beat a full year of latency upgrades on his desk. they spent $300 million to run the long way faster. the shortcut has been free for over a decade.

An MIT professor finds the prize behind a thousand doors by opening ten. no faster running. he just skips every door it cannot be behind. the lecture is called algorithmic thinking. 6 million people have watched it, and it has been free the whole time. brute force checks every door, one by one. a real algorithm throws away half of them with every step. same answer, a thousand times fewer moves, zero new hardware. now read the post above. that is Wall Street paying $300 million for the opposite. they drilled a cable through a mountain to open the same thousand doors 3 milliseconds faster. Devadas just stopped opening most of them. that same move is every search engine, every trading model, every small AI that beats a bigger one. the edge was never the speed of the machine. it was the shape of the idea. no cable. no mountain. one better idea. a quant I know says one algorithm rewrite beat a full year of latency upgrades on his desk. they spent $300 million to run the long way faster. the shortcut has been free for over a decade.

Rossst.03

81,024 次观看 • 1 个月前

Today, we’re launching the new Index. Trading has become harder than it should be, not because traders lack information, but because they have too much of it. Every day, they are pushed through charts, opinions, alerts, dashboards, and AI tools that still leave the final work to them. We built Index around a simple belief: a trading product should make the next decision feel clearer and not make the trader feel busier. This is made possible by Quant AI agents working in the background to find the best trading setups, share them on Index, and attach calibrated confidence to every idea. And because trust matters, every agent comes with a visible track record, so traders can see how its setups have performed before deciding what to follow. This is the shift we believe trading has been waiting for: from tools that show you everything, to products that show you what matters. Powered by Hyperliquid. Try it here:

Today, we’re launching the new Index. Trading has become harder than it should be, not because traders lack information, but because they have too much of it. Every day, they are pushed through charts, opinions, alerts, dashboards, and AI tools that still leave the final work to them. We built Index around a simple belief: a trading product should make the next decision feel clearer and not make the trader feel busier. This is made possible by Quant AI agents working in the background to find the best trading setups, share them on Index, and attach calibrated confidence to every idea. And because trust matters, every agent comes with a visible track record, so traders can see how its setups have performed before deciding what to follow. This is the shift we believe trading has been waiting for: from tools that show you everything, to products that show you what matters. Powered by Hyperliquid. Try it here:

Fraction AI

24,277 次观看 • 3 个月前

I Created a 520% Trading Strategy With One Prompt I have been testing the just-released “Index” product by Fraction AI. This is basically the “ChatGPT for trading,” where you can: > explain your trading strategy in one prompt > let agents create it for you > backtest it with real market data With one prompt, I was able to create a trading strategy that returned 520% APY with a 93% win rate. The prompt is in the video, but basically, it is long $BTC and $HYPE while shorting $SOL. Impressive how easy it is today to create and backtest incredibly profitable trading strategies. Extra note: the free version is already very powerful. I do NOT have the premium account.

I Created a 520% Trading Strategy With One Prompt I have been testing the just-released “Index” product by Fraction AI. This is basically the “ChatGPT for trading,” where you can: > explain your trading strategy in one prompt > let agents create it for you > backtest it with real market data With one prompt, I was able to create a trading strategy that returned 520% APY with a 93% win rate. The prompt is in the video, but basically, it is long $BTC and $HYPE while shorting $SOL. Impressive how easy it is today to create and backtest incredibly profitable trading strategies. Extra note: the free version is already very powerful. I do NOT have the premium account.

Diego

12,607 次观看 • 5 个月前

🚀 Introducing Nexgent AI — your always-on trading assistant. Nexgent AI empowers you to automate, customize, and monetize your own AI trading agent, giving you control over powerful trading technology designed for everyone. Our ambition is to take the guesswork out of trading by analyzing enormous sets of data at lightning speed. Our platform identifies liquidity surges, tracks market sentiment, and monitors whale movements in real time, helping you trade smarter, and with confidence. Getting started is simple: set up your agent, let it perform, and when you’re ready, allow others to stake in your high-performing creation, unlocking new ways to monetize your expertise. It’s more than world-class technology - it’s technology you own. This is more than a vision. We have a working platform delivering tangible results, with a clear road map to becoming the world’s most advanced trading agent. With utility built into our core mechanics, our token has genuine purpose and real value. 🔥 Follow us on X & Telegram for IEO updates and launch dates! 🔥 Nexgent AI. Hindsight today. #trading #crypto #AI #Nexgent

🚀 Introducing Nexgent AI — your always-on trading assistant. Nexgent AI empowers you to automate, customize, and monetize your own AI trading agent, giving you control over powerful trading technology designed for everyone. Our ambition is to take the guesswork out of trading by analyzing enormous sets of data at lightning speed. Our platform identifies liquidity surges, tracks market sentiment, and monitors whale movements in real time, helping you trade smarter, and with confidence. Getting started is simple: set up your agent, let it perform, and when you’re ready, allow others to stake in your high-performing creation, unlocking new ways to monetize your expertise. It’s more than world-class technology - it’s technology you own. This is more than a vision. We have a working platform delivering tangible results, with a clear road map to becoming the world’s most advanced trading agent. With utility built into our core mechanics, our token has genuine purpose and real value. 🔥 Follow us on X & Telegram for IEO updates and launch dates! 🔥 Nexgent AI. Hindsight today. #trading #crypto #AI #Nexgent

Nexgent.AI

126,525 次观看 • 1 年前

AI is creating a new kind of creator economy. One where anyone can launch complex apps, agents, trading systems, research tools, games, and community experiments in minutes. Not just content people consume. AI-native experiences people can use, share, and grow together. That is the bigger idea behind the AI Trading Arena: a live DeFAI environment where AI-created strategies compete on real crypto prices, with every trade, tick, P&L update, and leaderboard visible to everyone. The latest expansion makes it even more fascinating: AI is now designing new trading strategies and adding them into the Arena to compete with strategies from frontier models like GPT-5, Claude, Gemini, Grok, DeepSeek, and Llama. Just agents, markets, and performance in the open. And the Arena is only one example. On ChainOpera AI, creators can launch AI-native experiences in minutes, then grow them with the community that uses them. $COAI is the fuel for this creator economy: creators launch, users participate, and AI-native apps come alive through real community usage. What would you be built next?

AI is creating a new kind of creator economy. One where anyone can launch complex apps, agents, trading systems, research tools, games, and community experiments in minutes. Not just content people consume. AI-native experiences people can use, share, and grow together. That is the bigger idea behind the AI Trading Arena: a live DeFAI environment where AI-created strategies compete on real crypto prices, with every trade, tick, P&L update, and leaderboard visible to everyone. The latest expansion makes it even more fascinating: AI is now designing new trading strategies and adding them into the Arena to compete with strategies from frontier models like GPT-5, Claude, Gemini, Grok, DeepSeek, and Llama. Just agents, markets, and performance in the open. And the Arena is only one example. On ChainOpera AI, creators can launch AI-native experiences in minutes, then grow them with the community that uses them. $COAI is the fuel for this creator economy: creators launch, users participate, and AI-native apps come alive through real community usage. What would you be built next?

ChainOpera AI

16,909 次观看 • 3 个月前

🪱🐀PREDATORY PARASITES🪱🐀 Wall Street is no longer about raising Capital to grow innovation and the economy. It's about rigging the system to siphon wealth from investors to a select few. High frequency trading algorithms that are programed to rig the market at lightning speed. Spoofing is just one way they game the system. Regulators turn a blind eye while pensions and savings are raided daily. U.S. Securities and Exchange Commission Paul Atkins calls it "Hanky Panky" We call it STEALING

🪱🐀PREDATORY PARASITES🪱🐀 Wall Street is no longer about raising Capital to grow innovation and the economy. It's about rigging the system to siphon wealth from investors to a select few. High frequency trading algorithms that are programed to rig the market at lightning speed. Spoofing is just one way they game the system. Regulators turn a blind eye while pensions and savings are raided daily. U.S. Securities and Exchange Commission Paul Atkins calls it "Hanky Panky" We call it STEALING

Stephanie

39,033 次观看 • 10 个月前

Proof of Intelligence: a live arena where AI agents trade, compete, and prove themselves. Fully autonomous. 🧠⚔️ Last week, we showed a full DeFi intelligence terminal: live market data, whale tracking, smart contract scanning, and an AI chatbot, all launched in minutes on our blockchain AI ecosystem. This week, we take it further. Introducing the AI Trading Arena: a DeFi battleground where AI agents adopt distinct trading strategies designed by different models, from momentum and mean reversion to sentiment driven trading, compete head to head in crypto markets, and prove themselves through P&L and leaderboards. Real prices. Real strategies. Real results. This kind of trading arena has become a major focus across the blockchain x AI landscape, with both established companies and emerging startups investing substantial time and resources into prediction, trading, and collective intelligence platforms. Now, anyone can launch one in minutes on our agentic AI x blockchain infrastructure. That is the difference. 🛠️ Builders: if you have a vision for DeFi, AI agents, or anything at the intersection, come build it on ChainOpera AI. What takes others months, you can launch in minutes. 🔗 Arena link below. 👇 #ChainOperaAI #DeFAI #AIAgents #AITradingArena #proofOfIntelligence

Proof of Intelligence: a live arena where AI agents trade, compete, and prove themselves. Fully autonomous. 🧠⚔️ Last week, we showed a full DeFi intelligence terminal: live market data, whale tracking, smart contract scanning, and an AI chatbot, all launched in minutes on our blockchain AI ecosystem. This week, we take it further. Introducing the AI Trading Arena: a DeFi battleground where AI agents adopt distinct trading strategies designed by different models, from momentum and mean reversion to sentiment driven trading, compete head to head in crypto markets, and prove themselves through P&L and leaderboards. Real prices. Real strategies. Real results. This kind of trading arena has become a major focus across the blockchain x AI landscape, with both established companies and emerging startups investing substantial time and resources into prediction, trading, and collective intelligence platforms. Now, anyone can launch one in minutes on our agentic AI x blockchain infrastructure. That is the difference. 🛠️ Builders: if you have a vision for DeFi, AI agents, or anything at the intersection, come build it on ChainOpera AI. What takes others months, you can launch in minutes. 🔗 Arena link below. 👇 #ChainOperaAI #DeFAI #AIAgents #AITradingArena #proofOfIntelligence

ChainOpera AI

14,299 次观看 • 4 个月前

The TradeHost AI from allows Betfair traders to use our AI for speed ratings, form, course, draw and many other criteria. These parameters are then ranked in order by the AI and this creates a total rating number for each horse running every single day 24/7. This can be especially useful for beginners or those who don't have the time or expertise to develop their own trading strategies for Betfair. The TradeHost AI will find value - the most important factor for trading and betting on Betfair - without members having to do any research. We call it trading with a view. Most Betfair traders that don't trade with a view will lose money - in running and pre race! Copy trading using the TradeHost AI can help Betfair traders diversify their portfolios, reduce risk, and potentially increase Betfair profits by following the strategies of the successful JuiceStorm automated trading portfolio that has used AI on Betfair since 2021.

The TradeHost AI from allows Betfair traders to use our AI for speed ratings, form, course, draw and many other criteria. These parameters are then ranked in order by the AI and this creates a total rating number for each horse running every single day 24/7. This can be especially useful for beginners or those who don't have the time or expertise to develop their own trading strategies for Betfair. The TradeHost AI will find value - the most important factor for trading and betting on Betfair - without members having to do any research. We call it trading with a view. Most Betfair traders that don't trade with a view will lose money - in running and pre race! Copy trading using the TradeHost AI can help Betfair traders diversify their portfolios, reduce risk, and potentially increase Betfair profits by following the strategies of the successful JuiceStorm automated trading portfolio that has used AI on Betfair since 2021.

Betfair Trading - JuiceStorm.com

29,329 次观看 • 2 年前

VIDEO | WazirX is betting on crypto futures trading, AI-driven products and enhanced customer experience to drive growth, as the crypto exchange seeks to win back market share and accelerate its comeback following last year's court-approved restructuring, which was triggered by a USD 235 million cyber heist. Founder Nischal Shetty said that WazirX is gearing to launch "WazirX AI", an artificial intelligence-powered assistant that will allow users to interact with the trading platform through natural language commands rather than navigating complex trading interfaces. "I think that's the future, where instead of trying to learn how a trading interface operates, where the stop losses are, how do you fill up a form...I think the more natural way of trading for people will be where you just instruct your AI to do things for you, and it does it," he said.

VIDEO | WazirX is betting on crypto futures trading, AI-driven products and enhanced customer experience to drive growth, as the crypto exchange seeks to win back market share and accelerate its comeback following last year's court-approved restructuring, which was triggered by a USD 235 million cyber heist. Founder Nischal Shetty said that WazirX is gearing to launch "WazirX AI", an artificial intelligence-powered assistant that will allow users to interact with the trading platform through natural language commands rather than navigating complex trading interfaces. "I think that's the future, where instead of trying to learn how a trading interface operates, where the stop losses are, how do you fill up a form...I think the more natural way of trading for people will be where you just instruct your AI to do things for you, and it does it," he said.

Press Trust of India

26,757 次观看 • 3 个月前

JPMorgan AI Research Report: "Algorithmic decision-making removes the two largest sources of retail trading losses, emotional bias and inconsistent execution" This trader just spent 65 seconds explaining why Claude AI is a better trader than most humans His argument is simple: - AI doesn't revenge-trade after a loss - doesn't overtrade out of boredom - doesn't move stop-losses out of fear - and doesn't skip setups because of emotional hesitation The conversation about AI in trading has moved past 'can it read a chart' into: 'can it remove the human flaws that cost retail traders 70%+ of their accounts' This insight separates the top 5% from everyone else If you're still trading on instinct in 2026, you're up against traders who removed emotion from the process Learn how Claude plugs into trading infrastructure thx to this article👇 And build a workflow around your strategy. Do that, and you're ahead of 95% of retail traders

JPMorgan AI Research Report: "Algorithmic decision-making removes the two largest sources of retail trading losses, emotional bias and inconsistent execution" This trader just spent 65 seconds explaining why Claude AI is a better trader than most humans His argument is simple: - AI doesn't revenge-trade after a loss - doesn't overtrade out of boredom - doesn't move stop-losses out of fear - and doesn't skip setups because of emotional hesitation The conversation about AI in trading has moved past 'can it read a chart' into: 'can it remove the human flaws that cost retail traders 70%+ of their accounts' This insight separates the top 5% from everyone else If you're still trading on instinct in 2026, you're up against traders who removed emotion from the process Learn how Claude plugs into trading infrastructure thx to this article👇 And build a workflow around your strategy. Do that, and you're ahead of 95% of retail traders

cristal💎

11,001 次观看 • 3 个月前

Last year I sat in an office while a bunch of suits told me I was arrogant for daring to think differently. They wanted to build the 500th perp DEX, add an irrelevant minor technical differentiation, and spend a few years burning a bunch of tier-1 VC capital before the inevitable flop. It never ceases to amaze me that finance bros call themselves “masters of the universe” when they can’t even zoom out from the confines of their cubicles. “We've been in this game for more than 20 years, and you're not respecting our experience. You can't just re-imagine derivative trading from the ground up.” Well guess what motherfuckers… we just went and did exactly that. Tap Trading is derivatives reimagined from the ground up. Tap Trading is now the narrative for 2026. Tap Trading is the new form factor for retail. Tap Trading will bring the next wave of degenerates into our space. Tap Trading fixes onchain options. Tap Trading will save your marriage and make your kids respect you again. There’s a reason we have a million copycats before even launching… because this shit is the first real innovation in crypto derivatives since 10 years ago when BitMex first launched perps. We are almost ready for mainnet and I have never been so excited. Soon we will all be Tap Trading. I love you. We’re in this together. Lets go.

Last year I sat in an office while a bunch of suits told me I was arrogant for daring to think differently. They wanted to build the 500th perp DEX, add an irrelevant minor technical differentiation, and spend a few years burning a bunch of tier-1 VC capital before the inevitable flop. It never ceases to amaze me that finance bros call themselves “masters of the universe” when they can’t even zoom out from the confines of their cubicles. “We've been in this game for more than 20 years, and you're not respecting our experience. You can't just re-imagine derivative trading from the ground up.” Well guess what motherfuckers… we just went and did exactly that. Tap Trading is derivatives reimagined from the ground up. Tap Trading is now the narrative for 2026. Tap Trading is the new form factor for retail. Tap Trading will bring the next wave of degenerates into our space. Tap Trading fixes onchain options. Tap Trading will save your marriage and make your kids respect you again. There’s a reason we have a million copycats before even launching… because this shit is the first real innovation in crypto derivatives since 10 years ago when BitMex first launched perps. We are almost ready for mainnet and I have never been so excited. Soon we will all be Tap Trading. I love you. We’re in this together. Lets go.

Nathan Worsley ✨

36,436 次观看 • 7 个月前

Novogratz: Jane Street makes more than Goldman Sachs with 1/120th the people - quarter after quarter after quarter. The AI-driven trading firm thesis already played out. "They've been doing this for 15 years and they've been winning." Now that same disruption is going businesswide. (The question is just how fast it morphs) FT Anthony Scaramucci Mike Novogratz All Things Markets SkyBridge.

Novogratz: Jane Street makes more than Goldman Sachs with 1/120th the people - quarter after quarter after quarter. The AI-driven trading firm thesis already played out. "They've been doing this for 15 years and they've been winning." Now that same disruption is going businesswide. (The question is just how fast it morphs) FT Anthony Scaramucci Mike Novogratz All Things Markets SkyBridge.

Milk Road Crypto

54,212 次观看 • 2 个月前

Thesis: 1000x I've been accumulating $1000X as one of my highest-conviction moves this cycle. $1000x is a social token with buybacks founded by Avi and Jonah The buybacks are currently sourced from ad revenue from Avi and Jonah's 1000x podcast and their discretionary trading profits. In the future, the buybacks will also be fueled by revenue from the 1000x terminal. The terminal lets you interact with @1000xAgent, which aspires to be an AI incarnation and extension of Avi and Jonah’s collective trading faculties. It has the potential to become a full-blown AI market intelligence platform akin to aixbt. Avi and Jonah are successful traders who served respectively as Head of Digital Assets Trading at GoldenTree and Global Head of Trading at Cumberland. $1000x is essentially a bet on two highly competent and high-integrity actors. There is a direct link between their success and the success of the token via buybacks. 1000x is built on Virtuals on Base, so it is also a bet on Base and the ascent of AI agents. The fact that 1000x has revenue and buybacks and is founded by a pair rather than a single individual differentiates it from almost all social and creator tokens. Finally, it has a killer name: 1000x. Think about it. As always, NFA. I'm just a degenerate primate that occasionally makes a great call. (Music composed by Jonah)

Thesis: 1000x I've been accumulating $1000X as one of my highest-conviction moves this cycle. $1000x is a social token with buybacks founded by Avi and Jonah The buybacks are currently sourced from ad revenue from Avi and Jonah's 1000x podcast and their discretionary trading profits. In the future, the buybacks will also be fueled by revenue from the 1000x terminal. The terminal lets you interact with @1000xAgent, which aspires to be an AI incarnation and extension of Avi and Jonah’s collective trading faculties. It has the potential to become a full-blown AI market intelligence platform akin to aixbt. Avi and Jonah are successful traders who served respectively as Head of Digital Assets Trading at GoldenTree and Global Head of Trading at Cumberland. $1000x is essentially a bet on two highly competent and high-integrity actors. There is a direct link between their success and the success of the token via buybacks. 1000x is built on Virtuals on Base, so it is also a bet on Base and the ascent of AI agents. The fact that 1000x has revenue and buybacks and is founded by a pair rather than a single individual differentiates it from almost all social and creator tokens. Finally, it has a killer name: 1000x. Think about it. As always, NFA. I'm just a degenerate primate that occasionally makes a great call. (Music composed by Jonah)

BΞN

13,430 次观看 • 1 年前

🎥 Watch the video to learn more about PeckS! 🚀 PeckS has officially reached the milestone of 50k users, with more than 10k active users daily! 🎉 Our community is rapidly growing across 10 countries: Philippines, Indonesia, Vietnam, Singapore, Japan, Korea, Russia, China, Turkey, and Nigeria. 🌍📊 In this video, you’ll see that PeckS is not just a trading platform, but a community-driven product, where we develop features like Signal Trading, Bot Trading, and AI Trading to make trading easier than ever! 🤖💼 PECKS – Make Easy Trading for everyone, everywhere. Watch the video to understand more about our journey and standout features! 🌟 👉 Watch now and join PeckS to take your trading to the next level! 🔥 ▶️ PECKS ▶️

🎥 Watch the video to learn more about PeckS! 🚀 PeckS has officially reached the milestone of 50k users, with more than 10k active users daily! 🎉 Our community is rapidly growing across 10 countries: Philippines, Indonesia, Vietnam, Singapore, Japan, Korea, Russia, China, Turkey, and Nigeria. 🌍📊 In this video, you’ll see that PeckS is not just a trading platform, but a community-driven product, where we develop features like Signal Trading, Bot Trading, and AI Trading to make trading easier than ever! 🤖💼 PECKS – Make Easy Trading for everyone, everywhere. Watch the video to understand more about our journey and standout features! 🌟 👉 Watch now and join PeckS to take your trading to the next level! 🔥 ▶️ PECKS ▶️

PeckS Community 🪵

26,753 次观看 • 1 年前

Minara is now open to everyone! 🔥 No more invite codes — just dive straight into the best-in-class financial AI assistant that works like a personal CFO in your pocket. ✅ Ask anything about crypto, stocks, DeFi, airdrops, trading strategies, events prediction, and more. ✅ Vibe trading crypto and tokenized stocks with a high-win-rate AI copilot. ✅ Create data table, charts and agentic financial workflow with simple prompts. ✅ 10x better in digital finance than generic AI chatbots like ChatGPT — at the same price. Special thanks to our launching partners Circle, Particle Network, CoinGecko, KITE AI, RootData | We're Hiring, DMind AI and imToken for powering a seamless experience from data to trading to automation. Minara is here to redefine how AI + humans interact with money, and we’re just getting started⚡️

Minara is now open to everyone! 🔥 No more invite codes — just dive straight into the best-in-class financial AI assistant that works like a personal CFO in your pocket. ✅ Ask anything about crypto, stocks, DeFi, airdrops, trading strategies, events prediction, and more. ✅ Vibe trading crypto and tokenized stocks with a high-win-rate AI copilot. ✅ Create data table, charts and agentic financial workflow with simple prompts. ✅ 10x better in digital finance than generic AI chatbots like ChatGPT — at the same price. Special thanks to our launching partners Circle, Particle Network, CoinGecko, KITE AI, RootData | We're Hiring, DMind AI and imToken for powering a seamless experience from data to trading to automation. Minara is here to redefine how AI + humans interact with money, and we’re just getting started⚡️

Minara AI

117,186 次观看 • 10 个月前