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21-Year-Old Trader Explains How Hand-Drawing Candlestick Patterns in 3 Notebooks Built His Edge (Autoflow Cheat, The Solvency Trap, $29k Bottom Shorts) w/ shinigamiXBT 00:00 ShinigamiXBT Intro - trading crypto and major pairs during his early career transition 01:14 Why a bad exam and family unemployment forced him to go...

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27,280 次观看 • 2 个月前 •via X (Twitter)

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From a Thai prison cell to a fintech empire processing $1.6B in international payments across 40+ banks and 250M+ users. Jonathan Low (Jonathan Low). Forbes 40 Under 40. Author of "Cell to CEO." We covered prison, banking for AI agents, RWA projects, the future of crypto in banking, vibe coding for trading, and the businesses that win the next 5 years. ⏱ Timestamps: 00:00:00 — Teaser 00:00:46 — Who is Jonathan Low 00:01:35 — What Jonathan's life was like before prison 00:02:13 — How and why Jonathan ended up in prison 00:02:57 — Prison conditions: expectations vs reality 00:07:33 — Prison became the greatest blessing 00:09:12 — How the entrepreneurial journey began after prison 00:10:34 — Why social capital matters 00:11:06 — Launched own club and took it to the top in 3 months 00:12:09 — Built an Axie Infinity gaming guild during COVID 00:13:49 — The beginning of the BipTap Group journey 00:17:23 — How Jonathan built his own banking system 00:20:07 — How to get a crypto card 00:22:03 — How much it costs to launch a white-label solution with BipTap 00:22:58 — Banking for AI agents 00:25:57 — How to build an RWA project 00:27:45 — Future of cryptocurrencies in banking 00:32:08 — The business verticals within Empire Group 00:32:48 — What Jonathan invests his money in 00:33:54 — How relationships with regulators are built 00:34:43 — Implementing AI in business 00:36:28 — Vibe coding in trading 00:40:06 — Advice for first-time founders 00:43:36 — From construction to trading: Ruslan Khairullin's journey 00:44:57 — Inner peace: why calmness is essential for founders 00:50:39 — Work-life balance for entrepreneurs 00:53:47 — $1.5 million in 24 hours on TST coin 00:55:11 — The best way to capture a market 00:55:57 — Banking for nations Watch the full conversation and let me know which part you liked the most 👇
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From a Thai prison cell to a fintech empire processing $1.6B in international payments across 40+ banks and 250M+ users. Jonathan Low (Jonathan Low). Forbes 40 Under 40. Author of "Cell to CEO." We covered prison, banking for AI agents, RWA projects, the future of crypto in banking, vibe coding for trading, and the businesses that win the next 5 years. ⏱ Timestamps: 00:00:00 — Teaser 00:00:46 — Who is Jonathan Low 00:01:35 — What Jonathan's life was like before prison 00:02:13 — How and why Jonathan ended up in prison 00:02:57 — Prison conditions: expectations vs reality 00:07:33 — Prison became the greatest blessing 00:09:12 — How the entrepreneurial journey began after prison 00:10:34 — Why social capital matters 00:11:06 — Launched own club and took it to the top in 3 months 00:12:09 — Built an Axie Infinity gaming guild during COVID 00:13:49 — The beginning of the BipTap Group journey 00:17:23 — How Jonathan built his own banking system 00:20:07 — How to get a crypto card 00:22:03 — How much it costs to launch a white-label solution with BipTap 00:22:58 — Banking for AI agents 00:25:57 — How to build an RWA project 00:27:45 — Future of cryptocurrencies in banking 00:32:08 — The business verticals within Empire Group 00:32:48 — What Jonathan invests his money in 00:33:54 — How relationships with regulators are built 00:34:43 — Implementing AI in business 00:36:28 — Vibe coding in trading 00:40:06 — Advice for first-time founders 00:43:36 — From construction to trading: Ruslan Khairullin's journey 00:44:57 — Inner peace: why calmness is essential for founders 00:50:39 — Work-life balance for entrepreneurs 00:53:47 — $1.5 million in 24 hours on TST coin 00:55:11 — The best way to capture a market 00:55:57 — Banking for nations Watch the full conversation and let me know which part you liked the most 👇

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18,148 次观看 • 3 个月前

"You just can't build a slow, expensive blockchain anymore." Solana founder toly 🇺🇸 built a $47 billion network from an idea he couldn't sleep on. Two coffees and a beer at Cafe du Soleil in 2017, and he was up until 4 a.m., figuring out how to use proof of work to measure time. His parents escaped the USSR in the 90s with $50 to their name and landed in Chicago in their 40s. His mom was a pianist. His dad was a civil engineer who took blue-collar roofing jobs while getting his electrician certificates. His son did the circuit analysis homework for him. That 4 a.m. idea became proof of history, the core mechanism behind Solana. In this episode: 00:00:00 Trailer 00:01:06 Intro 00:01:17 Growing up in the Soviet Union 00:04:02 Immigrating to the United States 00:07:34 Career dreams and studying computer science 00:09:47 First startup and early lessons 00:11:19 13 years at Qualcomm 00:22:32 Meeting Raj and founding Solana 00:26:44 Fundraising and early investors 00:28:41 Surviving the FTX collapse 00:40:19 Solana's mission and impact 00:43:54 Using AI to run side projects 00:49:39 Hardest decisions as a leader 00:52:51 Outlook on crypto and Solana's future 00:59:22 Twitter, being public, and politics 01:05:52 Beliefs on human nature and life philosophy 01:09:34 Outro Full episode:
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"You just can't build a slow, expensive blockchain anymore." Solana founder toly 🇺🇸 built a $47 billion network from an idea he couldn't sleep on. Two coffees and a beer at Cafe du Soleil in 2017, and he was up until 4 a.m., figuring out how to use proof of work to measure time. His parents escaped the USSR in the 90s with $50 to their name and landed in Chicago in their 40s. His mom was a pianist. His dad was a civil engineer who took blue-collar roofing jobs while getting his electrician certificates. His son did the circuit analysis homework for him. That 4 a.m. idea became proof of history, the core mechanism behind Solana. In this episode: 00:00:00 Trailer 00:01:06 Intro 00:01:17 Growing up in the Soviet Union 00:04:02 Immigrating to the United States 00:07:34 Career dreams and studying computer science 00:09:47 First startup and early lessons 00:11:19 13 years at Qualcomm 00:22:32 Meeting Raj and founding Solana 00:26:44 Fundraising and early investors 00:28:41 Surviving the FTX collapse 00:40:19 Solana's mission and impact 00:43:54 Using AI to run side projects 00:49:39 Hardest decisions as a leader 00:52:51 Outlook on crypto and Solana's future 00:59:22 Twitter, being public, and politics 01:05:52 Beliefs on human nature and life philosophy 01:09:34 Outro Full episode:

luba yudasina

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Ex-Equity Crypto Trader Reveals His Systematic Trading Mindset To Conquer the Market w/ pedma 00:00 Pedma intro: Viewing trading as a business rather than predicting market cycles 01:32 Rejecting the 4-year cycle theory to focus on structural risk premia 02:24 Starting in 2017 trading US equities penny stocks pumping 50% to 80% 03:34 Surviving tail risk blowups, trading halts, and expensive borrow fees 04:40 The adverse selection trap of short borrow locates at 7:00 AM 05:25 Transitioning to large caps in 2020 and moving into crypto in 2021 06:00 Running a hybrid systematic model across 9 exchanges and 13 wallets 06:54 Defining systematic trading versus discretionary decision fatigue 09:50 Understanding why you get paid and the core mechanics of risk premia 11:15 Why classic momentum and trend models persist across decades 12:21 Harvesting short term alpha on Hyperliquid weekend oil contracts 14:12 Finding structural arbitrage across decentralized and centralized venues 16:00 Pricing inefficiencies in illiquid crypto contracts 17:42 The hidden reality of quant trading: infrastructure and bookkeeping demands 19:18 The coding bug that sorted trades alphabetically instead of by signal strength 21:12 The capital scaling bottleneck and the reality of a 30% to 50% CAGR 22:05 Why bucket shop exchanges ban profitable accounts that exploit mispricings 23:27 Starting a newsletter in 2022 to expose logical gaps through writing 25:35 Networking with high-signal quant traders 28:03 Replacing social media chart slop with Robert Carver's systematic books 29:11 Navigating the Dunning-Kruger curve and 4 consecutive winning years 32:01 Final advice for beginners: understand your counterparty and keep models simple 33:51 Outro
34:09

Ex-Equity Crypto Trader Reveals His Systematic Trading Mindset To Conquer the Market w/ pedma 00:00 Pedma intro: Viewing trading as a business rather than predicting market cycles 01:32 Rejecting the 4-year cycle theory to focus on structural risk premia 02:24 Starting in 2017 trading US equities penny stocks pumping 50% to 80% 03:34 Surviving tail risk blowups, trading halts, and expensive borrow fees 04:40 The adverse selection trap of short borrow locates at 7:00 AM 05:25 Transitioning to large caps in 2020 and moving into crypto in 2021 06:00 Running a hybrid systematic model across 9 exchanges and 13 wallets 06:54 Defining systematic trading versus discretionary decision fatigue 09:50 Understanding why you get paid and the core mechanics of risk premia 11:15 Why classic momentum and trend models persist across decades 12:21 Harvesting short term alpha on Hyperliquid weekend oil contracts 14:12 Finding structural arbitrage across decentralized and centralized venues 16:00 Pricing inefficiencies in illiquid crypto contracts 17:42 The hidden reality of quant trading: infrastructure and bookkeeping demands 19:18 The coding bug that sorted trades alphabetically instead of by signal strength 21:12 The capital scaling bottleneck and the reality of a 30% to 50% CAGR 22:05 Why bucket shop exchanges ban profitable accounts that exploit mispricings 23:27 Starting a newsletter in 2022 to expose logical gaps through writing 25:35 Networking with high-signal quant traders 28:03 Replacing social media chart slop with Robert Carver's systematic books 29:11 Navigating the Dunning-Kruger curve and 4 consecutive winning years 32:01 Final advice for beginners: understand your counterparty and keep models simple 33:51 Outro

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14,131 次观看 • 1 个月前

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42:48

Here are 3 simple patterns to master trading so you can be ready for the market's next uptrend: → Expectation breakers → Upside reversals → Inside days A very timely walkthrough with Richard Moglen and to get your weekend started. — Timestamps: 00:00 – Shakeouts and false signals: why not all setups are valid 01:18 – Expectation breakers: spotting surprise reversals in real time 03:14 – Reading price bars: closing range, volume, and market intent 06:00 – Relative strength in corrections: what Nvidia taught us 07:36 – Pattern psychology: reversals, breakouts, and failed moves 09:58 – Setting expectations: interpreting short-term price action 12:41 – Entry tactics: inside days, reversals, and tight risk setups 15:00 – Failed breakouts and the importance of bigger picture context 17:20 – Using multiple timeframes to confirm market direction 18:16 – Priming the range: setups that hint at explosive momentum 22:01 – Trade execution: context, levels, and timing precision 23:46 – Price–volume strategy: breakout conviction vs. weak pullbacks 26:11 – Bar-by-bar analysis: how pros study past winners 29:14 – Case study: RKLB’s full breakout-to-failure cycle 34:21 – Identifying sell signals through failed expectations 38:12 – Volume churn vs. low-volume tightness: which wins? 39:49 – Final takeaways: trading psychology, discipline, and edge 41:13 – Chart replay practice: mastering price action in real time Enjoy 💪

TraderLion

31,587 次观看 • 1 年前

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How Losing $68k in 1 Night Helped To Find Trading Edge w/ PILTR 00:00 PILTR intro: 4yrs of trading, German Bitcoin podcasts as first touchpoint & early Bitcoin automated savings 01:48 Leveraged trading and why beginners underestimate risk 02:55 Increasing leverage from 2x to 12x without stop losses 03:37 Getting greedy after winning trades and DCA failure 04:25 Blowing $68K in 1 night and keeping only $2K 05:02 Repeating the liquidation cycle 3 times before changing behaviors 05:25 Backtesting like a freak and paper trading to find an edge 05:44 Defining profitable trading as the constant execution of positive expectancy 06:06 Discovering a 65% win rate setup in backtesting logs 07:09 What he would tell his 6 year younger beginner self 07:56 Why there is no holy grail in trading technicals 08:50 Building a holistic confluence system using economic and liquidity data 09:15 Starting analysis with macro data and liquidity positioning 11:00 Risking what you are comfortable losing in absolute dollar size 11:26 Placing stop losses where positive expectancy thesis ends 11:42 Aiming for 1.5R to 2R rewards on high probability setups 12:48 Rejecting algorithms and AI to maintain discretionary mechanical setups 13:35 Why trading psychology represents 90% of execution 14:30 The misconception of chasing a home run 16:25 The social media trap of letting YouTube opinions influence your own trades 18:02 Differentiating legit traders from fake lifestyle gurus 18:50 Traders PILTR recommends on Twitter (Jordi, @joel_sabugal) 21:36 Using prop accounts to trade complex low-volume markets 22:57 Respecting drawdown rules on prop firms to protect entry fees 23:19 Prop firm salary payouts versus live account purchasing power 23:56 Why the long-term goal of every trader should be having a live account 24:50 Final Advice

Lock In

13,718 次观看 • 2 个月前

Why do most traders close their profits too early? Answered 167 questions from subscribers in one sitting. Psychology, risk management, finding a system that actually works, stop losses, handling emotions on size, where the market goes from here, and what AI is doing to all of it. If you've ever wanted to ask a professional trader with 9 years in the market something specific, the answer is probably in here. Submit your question for part two: TIMECODES 00:00 Teaser 00:39 Welcome 02:15 Handling losses and fear without closing early 03:09 How to stop cutting winners short 04:32 My current BTC and ETH positions 06:28 Controlling emotions on large positions 08:00 The turning point in a trader's career 10:46 When you want to quit trading 12:17 Where a beginner should actually start 13:06 Finding your own profitable system 13:27 Best book on trading psychology 15:09 Entry points and trading breakouts 17:05 Elliott waves and Fibonacci in practice 18:19 Calculating position size properly 20:39 When altseason and meme season arrive 23:39 Thoughts on LAB, ASTER, PUMP, NEAR, SOL, XRP 23:52 AI agents and vibecoding in trading 24:00 How the weather bot works on Polymarket 25:12 The free trading bot 25:29 Is prop trading worth it in 2026 25:35 Will I go back to copy trading 25:52 Public $1,000 to $10,000 marathon? 26:25 Personal questions 26:39 Banks, payment systems and crypto cards I use 27:19 Best countries in East Asia to live in 29:24 Software I use every day 30:39 The private traders club Enjoy! 🤝
25:26

Why do most traders close their profits too early? Answered 167 questions from subscribers in one sitting. Psychology, risk management, finding a system that actually works, stop losses, handling emotions on size, where the market goes from here, and what AI is doing to all of it. If you've ever wanted to ask a professional trader with 9 years in the market something specific, the answer is probably in here. Submit your question for part two: TIMECODES 00:00 Teaser 00:39 Welcome 02:15 Handling losses and fear without closing early 03:09 How to stop cutting winners short 04:32 My current BTC and ETH positions 06:28 Controlling emotions on large positions 08:00 The turning point in a trader's career 10:46 When you want to quit trading 12:17 Where a beginner should actually start 13:06 Finding your own profitable system 13:27 Best book on trading psychology 15:09 Entry points and trading breakouts 17:05 Elliott waves and Fibonacci in practice 18:19 Calculating position size properly 20:39 When altseason and meme season arrive 23:39 Thoughts on LAB, ASTER, PUMP, NEAR, SOL, XRP 23:52 AI agents and vibecoding in trading 24:00 How the weather bot works on Polymarket 25:12 The free trading bot 25:29 Is prop trading worth it in 2026 25:35 Will I go back to copy trading 25:52 Public $1,000 to $10,000 marathon? 26:25 Personal questions 26:39 Banks, payment systems and crypto cards I use 27:19 Best countries in East Asia to live in 29:24 Software I use every day 30:39 The private traders club Enjoy! 🤝

Ruslan Khairullin

28,936 次观看 • 1 个月前

Today I sit down with Avichal Garg - Electric ϟ Capital , co-founder and General Partner at Electric Capital ⚡️ . Avichal has built and sold companies, worked inside early Google and Facebook, served as a visiting partner at Y Combinator, and now backs founders across crypto and frontier tech. We get into: • Why founders are more like artists than operators • What actually compounds a person's trajectory • His "software eating money" thesis behind Electric Capital • Why honesty ends up being the real edge in venture • so much more! Timestamps 00:00:00 Trailer 00:00:44 Intro 00:01:00 Watches, luxury markets, and the AI parallel 00:12:48 Opportunity is a luxury 00:14:43 Founders as artists, not just operators 00:18:26 Authenticity and cutting through market noise 00:24:38 Betting on outliers as a life philosophy 00:37:58 Storytelling as a founder superpower 00:55:41 How Elad Gil helped launch Electric 01:07:55 Why crypto was the wedge for Electric 01:19:28 Why he prefers market corrections 01:31:00 The firms Electric was modelled after 01:36:21 Honesty as the core operating principle 01:42:15 Over-committing resources to founders 01:51:03 Dodging SBF and reading fake authenticity 02:01:40 Outro Link in comments!
2:01:53

Today I sit down with Avichal Garg - Electric ϟ Capital , co-founder and General Partner at Electric Capital ⚡️ . Avichal has built and sold companies, worked inside early Google and Facebook, served as a visiting partner at Y Combinator, and now backs founders across crypto and frontier tech. We get into: • Why founders are more like artists than operators • What actually compounds a person's trajectory • His "software eating money" thesis behind Electric Capital • Why honesty ends up being the real edge in venture • so much more! Timestamps 00:00:00 Trailer 00:00:44 Intro 00:01:00 Watches, luxury markets, and the AI parallel 00:12:48 Opportunity is a luxury 00:14:43 Founders as artists, not just operators 00:18:26 Authenticity and cutting through market noise 00:24:38 Betting on outliers as a life philosophy 00:37:58 Storytelling as a founder superpower 00:55:41 How Elad Gil helped launch Electric 01:07:55 Why crypto was the wedge for Electric 01:19:28 Why he prefers market corrections 01:31:00 The firms Electric was modelled after 01:36:21 Honesty as the core operating principle 01:42:15 Over-committing resources to founders 01:51:03 Dodging SBF and reading fake authenticity 02:01:40 Outro Link in comments!

luba yudasina

21,652 次观看 • 2 个月前

My dear friend, Vlad Tenev, changed the landscape of investing forever! The rise of the retail investor is largely due to Robinhood's success... and in this new Journey Man, we discuss it all... Enjoy! 00:00 - Intro 00:53 - Introducing Vlad Tenev of Robinhood 01:27 - Why Take on Wall Street? 01:54 - Robinhood’s Zero-Fee Origin Story 02:53 - Inspiration from Instagram and Uber 04:24 - Reimagining Trading for Mobile 05:05 - The Challenge of Disrupting Finance 05:42 - Why Everything Is Hard 06:34 - Early Wrong Assumptions 07:42 - Raising Capital with a Small Vision 08:48 - Funding Robinhood on AngelList 09:50 - Early Investors Changed Their Lives 10:38 - The Crypto Explosion Begins 11:07 - Considering a Bitcoin Exchange First 12:17 - Bitcoin’s Early Skepticism and Growth 13:08 - Robinhood Launches Crypto in 2018 14:03 - 2020: Crypto Revenue Surges Overnight 15:04 - The Challenge of Crypto Cyclicality 16:11 - Staffing a Volatile Business 17:10 - Building Robinhood’s Lean Crypto Team 18:46 - Robinhood’s First Crypto Event Coming 19:38 - Where TradFi Meets DeFi 20:34 - Tokenizing Everything 21:09 - Robinhood’s Vision for Crypto + Finance 21:47 - Thoughts on Crypto Options Demand 23:04 - Why Crypto Options Haven’t Taken Off 24:09 - Millennials and the Speculative Economy 25:22 - Democratizing Trading for Everyone 26:08 - Why Buy-and-Hold Doesn’t Work for All 27:15 - Trading vs Investing: A Matter of Wealth 28:01 - Trading as a Skill Anyone Can Build 29:13 - Robinhood’s Role in Onboarding Millions 30:06 - The Fed's Role and Retail Insight 31:03 - The Rise of the Retail Macro Trader 32:17 - Helping Users Succeed with Robinhood Strategies 33:35 - Power of Community and the Hive Mind 34:55 - Will AI Disrupt Community Too? 36:14 - Technological Waves and Investor Opportunity 37:10 - Human Purpose in an AI World 37:52 - Tokenizing Human Connection 38:28 - Creators, Platforms, and Future-Proofing 39:26 - Vlad’s Long-Term View of the Future 40:05 - Financial Services at the Heart of Disruption 41:14 - If AI Replaces Jobs, What Happens to Investing? 42:25 - Entering the Economic Singularity 43:31 - What Happens When AIs Win the Markets? 44:16 - AI's Role in Capital and Markets 45:07 - Will AI Eliminate Human Emotion from Markets? 46:06 - HFT: The Original AI Traders 47:20 - AI and Long-Term Probabilistic Forecasting 48:48 - GPUs, Gaming, and the Origins of AI 50:01 - Nvidia, CUDA, and Wall Street Arms Races 51:04 - Flash Boys and Microwave Trading 51:54 - Will AI Costs Go to Zero? 52:52 - Lower Cost, Higher Usage 53:41 - Robinhood’s UX Won’t Be Just a Chatbox 55:16 - Cortex: AI-Powered Features at Robinhood 56:54 - Tokenization and the Future of Asset Management 57:44 - Crowdsourced, Tokenized Hedge Funds 58:48 - Portability of Tokenized Assets 59:39 - Blockchain as the New Rails of Finance 01:00:09 - The Trump Token and Capital Formation 01:01:00 - Capital Access Unlocks Innovation 01:01:49 - Why Crypto Needs Regulatory Clarity 01:03:17 - From Meme Coins to Real Assets 01:04:17 - Crypto's Path to $100 Trillion? 01:05:15 - The Financial System Will Run on Blockchains 01:06:00 - Platform Layer vs Application Layer Wealth 01:06:29 - AI Raises Money and Launches Tokens 01:07:39 - AIs Creating Software and Capital Formation 01:08:00 - Final Thoughts: A Wild Future Ahead 01:08:20 - When Will Vlad Buy a CryptoPunk? 01:08:51 - Wrapping Up: AI, Crypto, and the Road Ahead
1:09:53

My dear friend, Vlad Tenev, changed the landscape of investing forever! The rise of the retail investor is largely due to Robinhood's success... and in this new Journey Man, we discuss it all... Enjoy! 00:00 - Intro 00:53 - Introducing Vlad Tenev of Robinhood 01:27 - Why Take on Wall Street? 01:54 - Robinhood’s Zero-Fee Origin Story 02:53 - Inspiration from Instagram and Uber 04:24 - Reimagining Trading for Mobile 05:05 - The Challenge of Disrupting Finance 05:42 - Why Everything Is Hard 06:34 - Early Wrong Assumptions 07:42 - Raising Capital with a Small Vision 08:48 - Funding Robinhood on AngelList 09:50 - Early Investors Changed Their Lives 10:38 - The Crypto Explosion Begins 11:07 - Considering a Bitcoin Exchange First 12:17 - Bitcoin’s Early Skepticism and Growth 13:08 - Robinhood Launches Crypto in 2018 14:03 - 2020: Crypto Revenue Surges Overnight 15:04 - The Challenge of Crypto Cyclicality 16:11 - Staffing a Volatile Business 17:10 - Building Robinhood’s Lean Crypto Team 18:46 - Robinhood’s First Crypto Event Coming 19:38 - Where TradFi Meets DeFi 20:34 - Tokenizing Everything 21:09 - Robinhood’s Vision for Crypto + Finance 21:47 - Thoughts on Crypto Options Demand 23:04 - Why Crypto Options Haven’t Taken Off 24:09 - Millennials and the Speculative Economy 25:22 - Democratizing Trading for Everyone 26:08 - Why Buy-and-Hold Doesn’t Work for All 27:15 - Trading vs Investing: A Matter of Wealth 28:01 - Trading as a Skill Anyone Can Build 29:13 - Robinhood’s Role in Onboarding Millions 30:06 - The Fed's Role and Retail Insight 31:03 - The Rise of the Retail Macro Trader 32:17 - Helping Users Succeed with Robinhood Strategies 33:35 - Power of Community and the Hive Mind 34:55 - Will AI Disrupt Community Too? 36:14 - Technological Waves and Investor Opportunity 37:10 - Human Purpose in an AI World 37:52 - Tokenizing Human Connection 38:28 - Creators, Platforms, and Future-Proofing 39:26 - Vlad’s Long-Term View of the Future 40:05 - Financial Services at the Heart of Disruption 41:14 - If AI Replaces Jobs, What Happens to Investing? 42:25 - Entering the Economic Singularity 43:31 - What Happens When AIs Win the Markets? 44:16 - AI's Role in Capital and Markets 45:07 - Will AI Eliminate Human Emotion from Markets? 46:06 - HFT: The Original AI Traders 47:20 - AI and Long-Term Probabilistic Forecasting 48:48 - GPUs, Gaming, and the Origins of AI 50:01 - Nvidia, CUDA, and Wall Street Arms Races 51:04 - Flash Boys and Microwave Trading 51:54 - Will AI Costs Go to Zero? 52:52 - Lower Cost, Higher Usage 53:41 - Robinhood’s UX Won’t Be Just a Chatbox 55:16 - Cortex: AI-Powered Features at Robinhood 56:54 - Tokenization and the Future of Asset Management 57:44 - Crowdsourced, Tokenized Hedge Funds 58:48 - Portability of Tokenized Assets 59:39 - Blockchain as the New Rails of Finance 01:00:09 - The Trump Token and Capital Formation 01:01:00 - Capital Access Unlocks Innovation 01:01:49 - Why Crypto Needs Regulatory Clarity 01:03:17 - From Meme Coins to Real Assets 01:04:17 - Crypto's Path to $100 Trillion? 01:05:15 - The Financial System Will Run on Blockchains 01:06:00 - Platform Layer vs Application Layer Wealth 01:06:29 - AI Raises Money and Launches Tokens 01:07:39 - AIs Creating Software and Capital Formation 01:08:00 - Final Thoughts: A Wild Future Ahead 01:08:20 - When Will Vlad Buy a CryptoPunk? 01:08:51 - Wrapping Up: AI, Crypto, and the Road Ahead

Raoul Pal

172,640 次观看 • 1 年前

INSIDE JUPITER: TRADING THE NEWS WITH PREDICTION MARKETS This episode with Julian breaks down why prediction markets are becoming a core primitive of Web4, how the Polymarket partnership fits the Jupiter full-stack vision, and why the future isn’t a separate product it’s prediction embedded everywhere. time stamps : 00:00 Intro Inside Jupiter HQ 00:18 Who's Julian and what's his role 00:44 What JuPredict actually is: “trading the news” 01:11 Polymarket × Jupiter 02:01 Why prediction markets are emerging 03:00 Markets vs commentators 04:24 Local & social prediction markets 05:15 On-chain transparency & global accessibility 06:27 Prediction markets in the Jupiter Web4 stack 07:48 The vision: predicting from any interface 09:28 Why people misread market prices 10:20 The real edge: studying trade flow before events 11:05 What prediction markets are best at predicting 11:40 Consistency & accuracy of the markets 12:10 Message to the community
13:01

INSIDE JUPITER: TRADING THE NEWS WITH PREDICTION MARKETS This episode with Julian breaks down why prediction markets are becoming a core primitive of Web4, how the Polymarket partnership fits the Jupiter full-stack vision, and why the future isn’t a separate product it’s prediction embedded everywhere. time stamps : 00:00 Intro Inside Jupiter HQ 00:18 Who's Julian and what's his role 00:44 What JuPredict actually is: “trading the news” 01:11 Polymarket × Jupiter 02:01 Why prediction markets are emerging 03:00 Markets vs commentators 04:24 Local & social prediction markets 05:15 On-chain transparency & global accessibility 06:27 Prediction markets in the Jupiter Web4 stack 07:48 The vision: predicting from any interface 09:28 Why people misread market prices 10:20 The real edge: studying trade flow before events 11:05 What prediction markets are best at predicting 11:40 Consistency & accuracy of the markets 12:10 Message to the community

JUP AND JUICE (🧃)

20,990 次观看 • 7 个月前

EDGE REVEALED: How an Ex-Jane Street Trader Finds Edge in Markets & Life Agustin Lebron Agustin Lebron (former Jane Street trader, author of The Laws of Trading, now working at an AI startup applying reinforcement learning to market execution) breaks down what edge really means — and how to find yours in trading, careers & life. “Edge is something that either you know or you can do that the marginal participant in that market either doesn’t or can’t.” We cover: - What edge actually means & how Jane Street builds organizational edge (their worst skill is still "pretty decent") - Why you can never truly know if you have edge — the statistical vs intuitive approaches - The consolidation of quant trading: from dozens of options firms to a handful of giants - The gamblification of everything — retail trading, sports betting & prediction markets fueling quant profits - What it was like having Sam Bankman-Fried (SBF) as a Jane Street intern: "Day one, I'm going to ask all the questions" - How to apply edge thinking to your own career: find what you're differentially good at - Raising teenagers in the AI age: why the traditional path still works, but other paths are opening up 00:00 Introduction 00:44 What is edge in financial markets 01:43 Jane Street and organizational structures for quant trading 03:46 Identifying and validating edge in trading 06:22 Navigating extreme market events and volatility 09:37 Future of quant trading and consolidation 12:15 Why quant firm profits have increased 14:42 The gamblization of everything 15:55 Who should pursue a career in quant trading 18:19 Applying the concept of edge to career and life decisions 20:56 Advice for interns to excel in quant trading 23:44 Predicting long-term success in trading interns 25:08 Sam Bankman-Fried as an intern and FTX reflections 28:15 Reasons people leave Jane Street and what they do next 31:19 Advice for young people in a changing world 36:09 Navigating job insecurity in tech-driven roles 38:55 Where to live if you want to be successful 40:28 Raising kids for a rapidly changing future 42:55 Questions young people should ask themselves 44:45 Outro and book recommendation
44:46

EDGE REVEALED: How an Ex-Jane Street Trader Finds Edge in Markets & Life Agustin Lebron Agustin Lebron (former Jane Street trader, author of The Laws of Trading, now working at an AI startup applying reinforcement learning to market execution) breaks down what edge really means — and how to find yours in trading, careers & life. “Edge is something that either you know or you can do that the marginal participant in that market either doesn’t or can’t.” We cover: - What edge actually means & how Jane Street builds organizational edge (their worst skill is still "pretty decent") - Why you can never truly know if you have edge — the statistical vs intuitive approaches - The consolidation of quant trading: from dozens of options firms to a handful of giants - The gamblification of everything — retail trading, sports betting & prediction markets fueling quant profits - What it was like having Sam Bankman-Fried (SBF) as a Jane Street intern: "Day one, I'm going to ask all the questions" - How to apply edge thinking to your own career: find what you're differentially good at - Raising teenagers in the AI age: why the traditional path still works, but other paths are opening up 00:00 Introduction 00:44 What is edge in financial markets 01:43 Jane Street and organizational structures for quant trading 03:46 Identifying and validating edge in trading 06:22 Navigating extreme market events and volatility 09:37 Future of quant trading and consolidation 12:15 Why quant firm profits have increased 14:42 The gamblization of everything 15:55 Who should pursue a career in quant trading 18:19 Applying the concept of edge to career and life decisions 20:56 Advice for interns to excel in quant trading 23:44 Predicting long-term success in trading interns 25:08 Sam Bankman-Fried as an intern and FTX reflections 28:15 Reasons people leave Jane Street and what they do next 31:19 Advice for young people in a changing world 36:09 Navigating job insecurity in tech-driven roles 38:55 Where to live if you want to be successful 40:28 Raising kids for a rapidly changing future 42:55 Questions young people should ask themselves 44:45 Outro and book recommendation

Ethan Kho

214,514 次观看 • 8 个月前

Three months ago, Codex was trash for knowledge work. Now it's my daily driver. I use it for writing, recruiting, deep engineering work, and everything in between. It even keeps me at inbox 0. I chatted with Every 🧱's head of growth Austin Austin Tedesco on Every 🧱's AI & I about what changed, and why he now spends 80% of his working time in the Codex desktop app too. We get into: - How Codex went from making Austin feel like an idiot to being the place he goes to get stuff done, including complex tasks like writing go-to-market plans using existing material from Slack, Notion, and meeting transcripts. - Why the Codex’s desktop app, which is faster and more reliable than Claude Desktop/Cowork, is the real differentiator. - How I source candidates with Codex by having it identify career arcs, not keywords—my go-to move is identifying organizations likely to teach the skills Every needs for a role, and then find candidates from that pool who have since gone on to work in AI. This is a must-watch for anyone who's wondering whether it’s finally time to give Codex a try. Watch below! Timestamps How Codex went from a tool for senior engineers to a daily driver for knowledge work: 00:00:57 How Claude Code proved that a great coding agent works for any knowledge work: 00:02:42 Austin's switch to Codex: 00:07:24 How Austin set up Codex with folders, keys, and reviewer agents: 00:13:48 Using Codex to brainstorm automations across Gmail, Slack, and Notion: 00:18:24 How Austin manages the human review step when Codex is drafting communications: 00:22:42 Using Codex to build specialized agents inspired by product executive Claire Vo: 00:28:54 Synthesizing meeting transcripts and Slack threads into a go-to-market plan: 00:31:09 Building a live KPI tracker in Notion that agents can read: 00:40:15 Using Codex for recruiting: 00:44:54
58:23

Three months ago, Codex was trash for knowledge work. Now it's my daily driver. I use it for writing, recruiting, deep engineering work, and everything in between. It even keeps me at inbox 0. I chatted with Every 🧱's head of growth Austin Austin Tedesco on Every 🧱's AI & I about what changed, and why he now spends 80% of his working time in the Codex desktop app too. We get into: - How Codex went from making Austin feel like an idiot to being the place he goes to get stuff done, including complex tasks like writing go-to-market plans using existing material from Slack, Notion, and meeting transcripts. - Why the Codex’s desktop app, which is faster and more reliable than Claude Desktop/Cowork, is the real differentiator. - How I source candidates with Codex by having it identify career arcs, not keywords—my go-to move is identifying organizations likely to teach the skills Every needs for a role, and then find candidates from that pool who have since gone on to work in AI. This is a must-watch for anyone who's wondering whether it’s finally time to give Codex a try. Watch below! Timestamps How Codex went from a tool for senior engineers to a daily driver for knowledge work: 00:00:57 How Claude Code proved that a great coding agent works for any knowledge work: 00:02:42 Austin's switch to Codex: 00:07:24 How Austin set up Codex with folders, keys, and reviewer agents: 00:13:48 Using Codex to brainstorm automations across Gmail, Slack, and Notion: 00:18:24 How Austin manages the human review step when Codex is drafting communications: 00:22:42 Using Codex to build specialized agents inspired by product executive Claire Vo: 00:28:54 Synthesizing meeting transcripts and Slack threads into a go-to-market plan: 00:31:09 Building a live KPI tracker in Notion that agents can read: 00:40:15 Using Codex for recruiting: 00:44:54

Dan Shipper 📧

55,561 次观看 • 5 个月前

🚨 PARTNERSHIP INTERVIEW: TON EX-PRESIDENT ON TELEGRAM’S PAVEL DUROV, THE FUTURE OF CRYPTO, AND WHY TON COULD HIT $1 TRILLION. He is the largest investor in Animoca, largest investor in TON, and one of crypto’s biggest whales A friend of Telegram’s Pavel Durov, Manuel Stotz stepped down as the President of TON Blockchain (launched by Telegram) to launch the world’s first TON Digital Asset Treasury. What Michael Saylor did with Bitcoin, and Tom Lee did with ETH, Manny is doing with TON. We discuss: – Why the 40-year debt supercycle is ending – Why central banks want you to believe inflation is temporary – Why fiat is “a bug in the system, not a feature” – Why TON, with its Telegram integration, is the most underrated trillion-dollar blockchain opportunity – Why billionaires are quietly buying Bitcoin In his view, the game is rigged and it’s time to play accordingly. 00:00 – TON partners with Telegram and Pavel Durov’s vision revealed. 02:00 – Manny Stotz explains why TON is crypto’s most underrated project. 04:30 – The insane story of Telegram: one billion users, zero funding. 07:00 – How Manny became President of TON Foundation. 09:30 – Pavel Durov: the GOAT of social media and free speech. 12:00 – Telegram’s shocking truth: only one product manager, Pavel himself. 15:00 – The secret genius of Nikolai Durov and TON’s whitepaper. 18:00 – VK vs Facebook: how the Durov brothers crushed Silicon Valley. 21:00 – “I’m not your lapdog, Mr. Putin”: Pavel’s bold stand against the FSB. 24:00 – How Telegram was born under surveillance and raids. 27:00 – Building Telegram in exile: Dubai, freedom and TON’s future. 30:00 – Why TON’s partnership with Telegram could change crypto forever. 34:00 – France investigates Pavel Durov: the West vs free speech. 38:00 – Did EU intelligence ask Durov to censor Romanian elections? 42:00 – Pavel posts explosive revelations while under investigation. 46:00 – The fight for freedom of speech at the core of TON and Telegram. 50:00 – Manny Stotz on Animoca, blockchain gaming and TON dominance. 54:00 – How TON serves the unbanked in Africa, Asia and Latin America. 58:00 – Billion-dollar crypto adoption: TON, Bitcoin, Solana and beyond. 01:02:00 – The dark side of fiat: hyperinflation from Zimbabwe to Venezuela. 01:06:00 – Why TON is positioned to lead the next crypto cycle. 01:10:00 – Manny compares Pavel Durov to Elon Musk’s vision. 01:14:00 – How governments fear TON’s unstoppable growth. 01:18:00 – The future of TON: global freedom, finance and innovation. 01:22:00 – Final verdict: Why Pavel Durov and TON may reshape the internet.
1:14:05

🚨 PARTNERSHIP INTERVIEW: TON EX-PRESIDENT ON TELEGRAM’S PAVEL DUROV, THE FUTURE OF CRYPTO, AND WHY TON COULD HIT $1 TRILLION. He is the largest investor in Animoca, largest investor in TON, and one of crypto’s biggest whales A friend of Telegram’s Pavel Durov, Manuel Stotz stepped down as the President of TON Blockchain (launched by Telegram) to launch the world’s first TON Digital Asset Treasury. What Michael Saylor did with Bitcoin, and Tom Lee did with ETH, Manny is doing with TON. We discuss: – Why the 40-year debt supercycle is ending – Why central banks want you to believe inflation is temporary – Why fiat is “a bug in the system, not a feature” – Why TON, with its Telegram integration, is the most underrated trillion-dollar blockchain opportunity – Why billionaires are quietly buying Bitcoin In his view, the game is rigged and it’s time to play accordingly. 00:00 – TON partners with Telegram and Pavel Durov’s vision revealed. 02:00 – Manny Stotz explains why TON is crypto’s most underrated project. 04:30 – The insane story of Telegram: one billion users, zero funding. 07:00 – How Manny became President of TON Foundation. 09:30 – Pavel Durov: the GOAT of social media and free speech. 12:00 – Telegram’s shocking truth: only one product manager, Pavel himself. 15:00 – The secret genius of Nikolai Durov and TON’s whitepaper. 18:00 – VK vs Facebook: how the Durov brothers crushed Silicon Valley. 21:00 – “I’m not your lapdog, Mr. Putin”: Pavel’s bold stand against the FSB. 24:00 – How Telegram was born under surveillance and raids. 27:00 – Building Telegram in exile: Dubai, freedom and TON’s future. 30:00 – Why TON’s partnership with Telegram could change crypto forever. 34:00 – France investigates Pavel Durov: the West vs free speech. 38:00 – Did EU intelligence ask Durov to censor Romanian elections? 42:00 – Pavel posts explosive revelations while under investigation. 46:00 – The fight for freedom of speech at the core of TON and Telegram. 50:00 – Manny Stotz on Animoca, blockchain gaming and TON dominance. 54:00 – How TON serves the unbanked in Africa, Asia and Latin America. 58:00 – Billion-dollar crypto adoption: TON, Bitcoin, Solana and beyond. 01:02:00 – The dark side of fiat: hyperinflation from Zimbabwe to Venezuela. 01:06:00 – Why TON is positioned to lead the next crypto cycle. 01:10:00 – Manny compares Pavel Durov to Elon Musk’s vision. 01:14:00 – How governments fear TON’s unstoppable growth. 01:18:00 – The future of TON: global freedom, finance and innovation. 01:22:00 – Final verdict: Why Pavel Durov and TON may reshape the internet.

Mario Nawfal

1,017,537 次观看 • 1 年前

THE GREAT IRS DECEPTION | Going Rogue with Lara Logan | Sponsored Episode Peymon Mottahedeh was born into a Jewish family in Iran. Immigrating to the USA in 1977 at the age of 14, he was excited to come to the land of the free and the home of the brave. Unfortunately, he found that the United States was not the beacon of freedom he believed it was. Peymon shares his journey of discovering the truth about the IRS and the fiat federal reserve system. He explains how federal income tax does not legally apply to most Americans, based on the Constitution and the Internal Revenue Code, and how he has successfully avoided paying federal income taxes for over 30 years without imprisonment or penalties. Peymon's offers education and legal defense for those who choose to follow his approach. 00:00:13 - Iran to America: How an Immigrant Discovered the Income Tax Lie 00:01:18 - The Voluntary Tax System: What the IRS Doesn't Want You to Know 00:02:45 - Political Corruption and the Money Behind the Tax Slavery System 00:04:38 - The Internal Revenue Code Exposed: Who Actually Owes Federal Income Tax 00:05:26 - The 16th Amendment Fraud: How Americans Were Tricked Since 1913 00:07:37 - Freedom Law School: The Last Tax Truth Organization Standing 00:09:27 - $600,000 IRS Assessment Wiped Out: Real Court Victories 00:11:51 - The 1040 Confession Trap: How Filing Your Return Destroys Your Rights 00:13:22 - 80 Million Americans Not Filing Taxes: What Happens to Them 00:17:57 - Government Waste, Pentagon Trillions, and Why Stopping Payment Is Patriotic 00:20:40 - Local Taxes vs Federal Empire: Where Your Money Should Really Go 00:24:28 - How to Break Free From IRS Fear and Join the Restore Freedom Plan Peymon Mottahedeh | Going Rogue with Lara Logan
32:20

THE GREAT IRS DECEPTION | Going Rogue with Lara Logan | Sponsored Episode Peymon Mottahedeh was born into a Jewish family in Iran. Immigrating to the USA in 1977 at the age of 14, he was excited to come to the land of the free and the home of the brave. Unfortunately, he found that the United States was not the beacon of freedom he believed it was. Peymon shares his journey of discovering the truth about the IRS and the fiat federal reserve system. He explains how federal income tax does not legally apply to most Americans, based on the Constitution and the Internal Revenue Code, and how he has successfully avoided paying federal income taxes for over 30 years without imprisonment or penalties. Peymon's offers education and legal defense for those who choose to follow his approach. 00:00:13 - Iran to America: How an Immigrant Discovered the Income Tax Lie 00:01:18 - The Voluntary Tax System: What the IRS Doesn't Want You to Know 00:02:45 - Political Corruption and the Money Behind the Tax Slavery System 00:04:38 - The Internal Revenue Code Exposed: Who Actually Owes Federal Income Tax 00:05:26 - The 16th Amendment Fraud: How Americans Were Tricked Since 1913 00:07:37 - Freedom Law School: The Last Tax Truth Organization Standing 00:09:27 - $600,000 IRS Assessment Wiped Out: Real Court Victories 00:11:51 - The 1040 Confession Trap: How Filing Your Return Destroys Your Rights 00:13:22 - 80 Million Americans Not Filing Taxes: What Happens to Them 00:17:57 - Government Waste, Pentagon Trillions, and Why Stopping Payment Is Patriotic 00:20:40 - Local Taxes vs Federal Empire: Where Your Money Should Really Go 00:24:28 - How to Break Free From IRS Fear and Join the Restore Freedom Plan Peymon Mottahedeh | Going Rogue with Lara Logan

Lara Logan

48,010 次观看 • 1 个月前

Episode 3 of my new podcast features Dr. Jacques Carolan (Jacques Carolan), a founding Program Director at ARIA (ARIA), the UK’s Advanced Research and Invention Agency. He directs two neurotech programs aimed at one of the most important opportunity spaces: developing tools and systems to interface, at scale, with the human brain. One program is built on the idea that brain disorders are circuit problems, and funds tools to target those circuits with molecular precision across the whole brain. The other aims to deliver high-performance neurotech to the brain non-invasively or at most in a 30-minute outpatient procedure. We dig into the engineering and biology behind both programs, potential scaling unlocks for the field, how ARIA programs drive breakthroughs, Jacques background, the role of media in shaping the future, and much more. I hope you enjoy the conversation! Other links to this episode and references below. Chapters 00:00:00 Introduction 00:01:22 Why 20 years of neurotech breakthroughs haven't reached patients 00:04:08 The two variables that determine whether any medical technology gets adopted 00:09:17 Brain disorders cost the UK £100B/year and we're barely treating them 00:16:15 Using stem cells and gene therapy to build better brain interfaces 00:21:40 Self-regulating gene therapy that helps the brain quiet its own seizures 00:24:03 The non-technical reasons transformative neurotech fail to reach patients 00:31:34 Watching a 30-second brain ablation stop severe tremors 00:38:11 The case for delivering brain implants and therapies without opening the skull 00:50:56 Why high technical uncertainty makes distributed teams better than vertical integration 01:02:55 Why the UK keeps producing world-class neuroscience but not world-class neurotech companies 01:11:04 What AI-driven hypothesis generation means for breakthroughs per pound 01:20:40 From quantum computing to improv comedy to running £119M government brain programs
1:51:04

Episode 3 of my new podcast features Dr. Jacques Carolan (Jacques Carolan), a founding Program Director at ARIA (ARIA), the UK’s Advanced Research and Invention Agency. He directs two neurotech programs aimed at one of the most important opportunity spaces: developing tools and systems to interface, at scale, with the human brain. One program is built on the idea that brain disorders are circuit problems, and funds tools to target those circuits with molecular precision across the whole brain. The other aims to deliver high-performance neurotech to the brain non-invasively or at most in a 30-minute outpatient procedure. We dig into the engineering and biology behind both programs, potential scaling unlocks for the field, how ARIA programs drive breakthroughs, Jacques background, the role of media in shaping the future, and much more. I hope you enjoy the conversation! Other links to this episode and references below. Chapters 00:00:00 Introduction 00:01:22 Why 20 years of neurotech breakthroughs haven't reached patients 00:04:08 The two variables that determine whether any medical technology gets adopted 00:09:17 Brain disorders cost the UK £100B/year and we're barely treating them 00:16:15 Using stem cells and gene therapy to build better brain interfaces 00:21:40 Self-regulating gene therapy that helps the brain quiet its own seizures 00:24:03 The non-technical reasons transformative neurotech fail to reach patients 00:31:34 Watching a 30-second brain ablation stop severe tremors 00:38:11 The case for delivering brain implants and therapies without opening the skull 00:50:56 Why high technical uncertainty makes distributed teams better than vertical integration 01:02:55 Why the UK keeps producing world-class neuroscience but not world-class neurotech companies 01:11:04 What AI-driven hypothesis generation means for breakthroughs per pound 01:20:40 From quantum computing to improv comedy to running £119M government brain programs

Juan Benet

21,032 次观看 • 4 个月前

This man lost everything last year and promised he’d fight his way back. Today, he’s one of the top traders on fomo, making over $500,000 in the last month alone. So proud of you Crissy. 00:00 - Intro: $0 to $300K in 30 Days 00:14 - Meet 23-Year-Old Trader Crissy + Gen Z Market Pacing 01:24 - Transitioning from Social Media to On-Chain Trading 03:02 - The New Era of Public fomo Trading 04:09 - Making $300K 05:23 - Round-Tripping $1M to $0 07:22 - Finding Narratives Early 07:55 - Perspective on PoorGoat & Public Strategy 08:45 - Front-Running the First Big Candle ($BRIAN, $MARS, $BASECAT) 10:04 - Cashing Out & Ending the Dopamine Loop 12:50 - Execution Rules 14:25 - The Thesis Behind Stock-Paired Meme Coins on BNB 16:09 - Managing Emotions on $BASECAT 18:18 - Dealing with Public Trading & Signal Optics 19:32 - Finding Your Group Chat 22:42 - Advice For Future Self 24:20 - Resetting Your Mindset After Massive Wins 26:44 - How To Comeback From 0 28:57 - Final Remarks This new generation of traders are so fking dope man. So sharp, have their own styles, and many have a great code. Always learning from the best 🙏🏼
30:08

This man lost everything last year and promised he’d fight his way back. Today, he’s one of the top traders on fomo, making over $500,000 in the last month alone. So proud of you Crissy. 00:00 - Intro: $0 to $300K in 30 Days 00:14 - Meet 23-Year-Old Trader Crissy + Gen Z Market Pacing 01:24 - Transitioning from Social Media to On-Chain Trading 03:02 - The New Era of Public fomo Trading 04:09 - Making $300K 05:23 - Round-Tripping $1M to $0 07:22 - Finding Narratives Early 07:55 - Perspective on PoorGoat & Public Strategy 08:45 - Front-Running the First Big Candle ($BRIAN, $MARS, $BASECAT) 10:04 - Cashing Out & Ending the Dopamine Loop 12:50 - Execution Rules 14:25 - The Thesis Behind Stock-Paired Meme Coins on BNB 16:09 - Managing Emotions on $BASECAT 18:18 - Dealing with Public Trading & Signal Optics 19:32 - Finding Your Group Chat 22:42 - Advice For Future Self 24:20 - Resetting Your Mindset After Massive Wins 26:44 - How To Comeback From 0 28:57 - Final Remarks This new generation of traders are so fking dope man. So sharp, have their own styles, and many have a great code. Always learning from the best 🙏🏼

۟

107,119 次观看 • 1 个月前

This guy beat the market for 17 straight years trading a sector many investors have written off post-2008 Derek Pilecki (Derek Pilecki) runs a financials-only fund. 21%+ annualized. His edge? A corner of the market many investors moved away from after the GFC. We cover: - Why he expanded from 25 → 40 positions and returns went UP - His counterintuitive rule: buy higher, not lower (positions get LESS risky as they rise) - The Robinhood call — bought late 2023, rode it to a multibagger - Why he's quietly watching FactSet, Morningstar & Verisk right now - His view on private credit risk (and why he disagrees with Jamie Dimon) - How he uses AI to analyze more stocks without losing his edge - Why markets chronically underreact to good news — and how to exploit it - The brutal career reality no one tells young PMs about Highlights: 00:00 Intro 01:06 Derek's +21% annualized return track record 02:50 Fundamental business change vs market noise in Robinhood 05:25 Portfolio construction: Concentration limits and adding to winners 09:09 Sourcing alpha and identifying three-year doubles in financials 12:44 Developing edge through repetition and management team cycles 14:16 Why the post-GFC regime fundamentally changed bank underwriting 17:07 Assessing tail risk and leverage in the private credit market 21:23 AI-driven market dispersion and identifying moaty businesses 24:11 Why shareholder base turnover matters for timing broken charts 29:37 Integrating AI into fundamental research and SEC filing analysis 35:39 Risk management: Permanent capital loss vs mark-to-market volatility 37:12 Capacity constraints: Optimizing for returns over AUM scale 50:39 Career risk and the reality of active money management
55:44

This guy beat the market for 17 straight years trading a sector many investors have written off post-2008 Derek Pilecki (Derek Pilecki) runs a financials-only fund. 21%+ annualized. His edge? A corner of the market many investors moved away from after the GFC. We cover: - Why he expanded from 25 → 40 positions and returns went UP - His counterintuitive rule: buy higher, not lower (positions get LESS risky as they rise) - The Robinhood call — bought late 2023, rode it to a multibagger - Why he's quietly watching FactSet, Morningstar & Verisk right now - His view on private credit risk (and why he disagrees with Jamie Dimon) - How he uses AI to analyze more stocks without losing his edge - Why markets chronically underreact to good news — and how to exploit it - The brutal career reality no one tells young PMs about Highlights: 00:00 Intro 01:06 Derek's +21% annualized return track record 02:50 Fundamental business change vs market noise in Robinhood 05:25 Portfolio construction: Concentration limits and adding to winners 09:09 Sourcing alpha and identifying three-year doubles in financials 12:44 Developing edge through repetition and management team cycles 14:16 Why the post-GFC regime fundamentally changed bank underwriting 17:07 Assessing tail risk and leverage in the private credit market 21:23 AI-driven market dispersion and identifying moaty businesses 24:11 Why shareholder base turnover matters for timing broken charts 29:37 Integrating AI into fundamental research and SEC filing analysis 35:39 Risk management: Permanent capital loss vs mark-to-market volatility 37:12 Capacity constraints: Optimizing for returns over AUM scale 50:39 Career risk and the reality of active money management

Ethan Kho

801,648 次观看 • 6 个月前

BTC Just Flipped Bullish at $82K. Here's Exactly What I'm Buying 00:00 Intro 3:45 Stream Starts 6:30 How should you allocate to spot for this Bull Run? 32:00 Using Perps to make up for missing spot? 35:30 ETH Chart 38:40 Sol Chart 40:00 HYPE Chart 41:00 Tradfi Charts 44:40 XRP Charts 46:46 NEAR chart 48:30 Setting up a public Hyperliquid account for stream trades 51:30 Pumpfun chart 52:45 Zcash Chart 54:15 HYPE Chart and how to trade price discovery in bull markets 58:45 UNI Chart 1:02:00 Fartcoin chart 1:03:30 Google / BTC Fractal 1:04:40 ZRO Chart 1:06:14 The Hundy Roll W/ Flood 1:09:00 ICOBeast Drama 1:13:20 Ansem Chart 1:18:00 Ondo Chart 1:18:40 LTC Chart 1:21:00 XPL Chart 1:23:30 Pengu Chart 1:26:00 VVV Chart 1:30:30 CRV Chart 1:32:30 Cate Chart 1:35:30 Mentor Mayne Question 1:39:00 It’s ok to not always be right W/ Ben Cowen 1:42:00 Clarity Act doesn’t Pass, but the SEC doesn’t care 1:50:00 Can now trade stocks and crypto on X timeline 1:52:00 X rolls out X Numbers 1:53:30 SpaceX, Anthropic, OpenAi worth more than all tech companies from last 45 years 1:59:00 Wall street Bets Trader forgets about his $400k 0DTE calls 2:01:00 Would you bet your networth on a sure thing?
2:05:43

BTC Just Flipped Bullish at $82K. Here's Exactly What I'm Buying 00:00 Intro 3:45 Stream Starts 6:30 How should you allocate to spot for this Bull Run? 32:00 Using Perps to make up for missing spot? 35:30 ETH Chart 38:40 Sol Chart 40:00 HYPE Chart 41:00 Tradfi Charts 44:40 XRP Charts 46:46 NEAR chart 48:30 Setting up a public Hyperliquid account for stream trades 51:30 Pumpfun chart 52:45 Zcash Chart 54:15 HYPE Chart and how to trade price discovery in bull markets 58:45 UNI Chart 1:02:00 Fartcoin chart 1:03:30 Google / BTC Fractal 1:04:40 ZRO Chart 1:06:14 The Hundy Roll W/ Flood 1:09:00 ICOBeast Drama 1:13:20 Ansem Chart 1:18:00 Ondo Chart 1:18:40 LTC Chart 1:21:00 XPL Chart 1:23:30 Pengu Chart 1:26:00 VVV Chart 1:30:30 CRV Chart 1:32:30 Cate Chart 1:35:30 Mentor Mayne Question 1:39:00 It’s ok to not always be right W/ Ben Cowen 1:42:00 Clarity Act doesn’t Pass, but the SEC doesn’t care 1:50:00 Can now trade stocks and crypto on X timeline 1:52:00 X rolls out X Numbers 1:53:30 SpaceX, Anthropic, OpenAi worth more than all tech companies from last 45 years 1:59:00 Wall street Bets Trader forgets about his $400k 0DTE calls 2:01:00 Would you bet your networth on a sure thing?

Mayne

65,176 次观看 • 18 天前