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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 💪show more

TraderLion

221,216 subscribers

31,475 次观看 • 1 年前 •via X (Twitter)

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Gunasekhar T 🇮🇳 的头像

Gunasekhar T 🇮🇳1 年前

@RichardMoglen @AmeetRai_ Please use candles for the videos. It's easier for a lot of us to understand.

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The Tech Arch1 年前

@RichardMoglen @AmeetRai_

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CJ1 年前

TradeViewr Market Scanner Real-time market data and stock news. Powerful features at an amazing price. Start your free trial at: ◦ ◦ ◦ ◦ ◦ ◦ ◦ ◦ ◦ ◦ ◦ ◦ ◦ 🎥 Watch Our Features Video:

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darva1 年前

@RichardMoglen @AmeetRai_ YouTube link please

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TiadarLen1 年前

@RichardMoglen @AmeetRai_ Receive the latest stock signals

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TiadarLen1 年前

@RichardMoglen @AmeetRai_

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Here's exactly how a 22 year old returned 283% in last year's US Investing Championship: ∙Listening to the stocks you're trading ∙Managing risk, and fighting for huge R:R multiples ∙Martin's journey and key influences ∙Equity curve mindset Great work Martin Luk — Timestamps: 00:00 – How a 100% trade shifted Martin’s entire mindset 01:31 – Lessons from studying prior big movers 04:54 – Starting with $1,300 in 2020 and early influences 08:56 – From tripling his account to a brutal 50% drawdown 13:23 – Foundational growth through books, podcasts, and mentors 17:02 – Adopting a tighter stop strategy from Christian Kalayjian 24:27 – Martin’s swing trading style, low win rate, high R setups 30:50 – Why tight stops lead to parabolic R multiple gains 33:51 – Backtesting winners: Big movers rarely revisit breakout lows 36:00 – Ideal entry tactics: Inside days, ORH, and prior day highs 40:45 – Sell strategies: Into strength vs. trailing stops 47:50 – Case study: SMCI trade and painful exit mistake 55:10 – COIN trade driven by crypto correlation and pattern break 01:01:10 – GME & AMC: Fast gains using tight intraday structure 01:10:18 – Traditional breakout example: SOFI 01:16:33 – Parabolic trade and sell signals using volume and distance 01:21:19 – QUBT re-entry and lessons on precise breakout timing 01:24:52 – Best loss of the year: SMTC and honoring stops 01:26:50 – Mistakes from CSK and recognizing emotional entries 01:30:38 – Martin’s scanning system: Pre-market, daily, and leaders 01:35:22 – How watchlists reveal market health and trend 01:42:03 – Short setup breakdowns: Declining EMA + intraday resistance 01:50:12 – SMCI short and trailing rules for shorts vs. longs 01:55:03 – Using your equity curve as market feedback 02:01:09 – Martin’s top trading weaknesses and progress 02:03:07 – Reducing drawdowns: Lessons from SURF loss 02:08:01 – Final advice: Trading is a marathon, not a sprint Have a great weekend! 🦁

Here's exactly how a 22 year old returned 283% in last year's US Investing Championship: ∙Listening to the stocks you're trading ∙Managing risk, and fighting for huge R:R multiples ∙Martin's journey and key influences ∙Equity curve mindset Great work Martin Luk — Timestamps: 00:00 – How a 100% trade shifted Martin’s entire mindset 01:31 – Lessons from studying prior big movers 04:54 – Starting with $1,300 in 2020 and early influences 08:56 – From tripling his account to a brutal 50% drawdown 13:23 – Foundational growth through books, podcasts, and mentors 17:02 – Adopting a tighter stop strategy from Christian Kalayjian 24:27 – Martin’s swing trading style, low win rate, high R setups 30:50 – Why tight stops lead to parabolic R multiple gains 33:51 – Backtesting winners: Big movers rarely revisit breakout lows 36:00 – Ideal entry tactics: Inside days, ORH, and prior day highs 40:45 – Sell strategies: Into strength vs. trailing stops 47:50 – Case study: SMCI trade and painful exit mistake 55:10 – COIN trade driven by crypto correlation and pattern break 01:01:10 – GME & AMC: Fast gains using tight intraday structure 01:10:18 – Traditional breakout example: SOFI 01:16:33 – Parabolic trade and sell signals using volume and distance 01:21:19 – QUBT re-entry and lessons on precise breakout timing 01:24:52 – Best loss of the year: SMTC and honoring stops 01:26:50 – Mistakes from CSK and recognizing emotional entries 01:30:38 – Martin’s scanning system: Pre-market, daily, and leaders 01:35:22 – How watchlists reveal market health and trend 01:42:03 – Short setup breakdowns: Declining EMA + intraday resistance 01:50:12 – SMCI short and trailing rules for shorts vs. longs 01:55:03 – Using your equity curve as market feedback 02:01:09 – Martin’s top trading weaknesses and progress 02:03:07 – Reducing drawdowns: Lessons from SURF loss 02:08:01 – Final advice: Trading is a marathon, not a sprint Have a great weekend! 🦁

TraderLion

13,458 次观看 • 1 年前

Here's my recent talk at Sui Basecamp in Dubai—Enjoy! 00:00 - PALvatar introduces the episode 01:04 - Reframing the macro fear narrative 01:26 - The Everything Code and liquidity 01:51 - Debt cycles and macro structure 02:10 - Demographics, debt, and GDP 02:38 - Aging populations and GDP drag 03:00 - Liquidity as the real driver 03:25 - Fed balance sheet to total liquidity 03:50 - M2 and asset correlations 04:23 - Why the rich get richer 04:47 - Global tax via currency debasement 05:21 - Crypto as a generational opportunity 05:48 - Banana zones and BTC decoupling 06:13 - Bitcoin log regression and upside 06:37 - 850K $BTC and market cycles 06:56 - Debasement and asset returns 07:19 - Liquidity vs. traditional returns 07:48 - Why tech and crypto matter 08:10 - Bitcoin vs Nasdaq performance 08:38 - Crypto: best asset in history 09:03 - The "Don’t F*ck This Up" thesis 09:38 - Liquidity and the macro setup 09:58 - Volatility is the price for returns 10:31 - Tariffs, rates, and market lag 11:01 - Economic surprises and liquidity 11:37 - 2017 tariffs and liquidity boost 12:01 - Twitter narratives vs macro truth 12:24 - What assets lead market cycles 12:51 - Inventory buildup and Q1 GDP 13:12 - Philly Fed confirms thesis 13:31 - ISM and forward outlook 14:00 - #Bitcoin and DeMark analysis 14:21 - Trump cycle deja vu 14:38 - My Bitcoin trading mistake 14:57 - Dollar strength and the Trump pivot 15:16 - Why the dollar isn’t over 15:36 - A weak dollar lifts global growth 15:56 - The 2017 breakout comparison 16:18 - One of the best setups ever 16:40 - Global M2 and debt cycle 17:03 - Basel IV and monetary creation 17:25 - Liquidity cycles repeat 17:45 - Debt refi cycles and patterns 18:06 - Liquidity leads Bitcoin 18:29 - Banana Zone phases 18:50 - Global M2 vs BTC chart 19:09 - Breakouts and corrections 19:29 - The voodoo chart: M2 + BTC 19:50 - One-way street ahead 20:08 - China, the dollar, and liquidity 20:31 - Central banks printing 20:50 - Liquidity surge from all angles 21:14 - Correlation with BTC and Nasdaq 21:39 - The Everything Code plays out 22:03 - Business cycle and crypto 22:32 - Bitcoin and ISM outlook 22:54 - Bitcoin at 450K? 23:21 - Altseason and business cycle 23:48 - Earnings, spending, and risk 24:16 - Altcoins = risk curve 24:40 - ISM >50 = big signal 25:06 - Everyone's fearful at the bottom 25:35 - Bearish sentiment at extremes 26:03 - Institutions still not in 26:29 - Indicators signal reversals 26:56 - Bitcoin corrections are normal 27:18 - The 2017 rollercoaster 27:42 - Technicals: #Solana & $SUI 28:00 - Sui charts breaking out 28:28 - Sui vs $SOL: faster horse 28:50 - $DEEP: top performer 29:16 - Ecosystem growth & excitement 29:45 - Market reacting to the vision 30:07 - Follow liquidity, not noise 30:27 - RSI and breakouts 30:47 - Liquidity patterns repeat 31:13 - We are in the Banana Zone 31:30 - No cycle top in sight 31:56 - This is just the beginning 32:19 - Banana Zone map 32:44 - Final advice: don’t mess this up 33:08 - Cycle could run into Q2 2026 33:39 - Stick to the program and DFTU

Here's my recent talk at Sui Basecamp in Dubai—Enjoy! 00:00 - PALvatar introduces the episode 01:04 - Reframing the macro fear narrative 01:26 - The Everything Code and liquidity 01:51 - Debt cycles and macro structure 02:10 - Demographics, debt, and GDP 02:38 - Aging populations and GDP drag 03:00 - Liquidity as the real driver 03:25 - Fed balance sheet to total liquidity 03:50 - M2 and asset correlations 04:23 - Why the rich get richer 04:47 - Global tax via currency debasement 05:21 - Crypto as a generational opportunity 05:48 - Banana zones and BTC decoupling 06:13 - Bitcoin log regression and upside 06:37 - 850K $BTC and market cycles 06:56 - Debasement and asset returns 07:19 - Liquidity vs. traditional returns 07:48 - Why tech and crypto matter 08:10 - Bitcoin vs Nasdaq performance 08:38 - Crypto: best asset in history 09:03 - The "Don’t F*ck This Up" thesis 09:38 - Liquidity and the macro setup 09:58 - Volatility is the price for returns 10:31 - Tariffs, rates, and market lag 11:01 - Economic surprises and liquidity 11:37 - 2017 tariffs and liquidity boost 12:01 - Twitter narratives vs macro truth 12:24 - What assets lead market cycles 12:51 - Inventory buildup and Q1 GDP 13:12 - Philly Fed confirms thesis 13:31 - ISM and forward outlook 14:00 - #Bitcoin and DeMark analysis 14:21 - Trump cycle deja vu 14:38 - My Bitcoin trading mistake 14:57 - Dollar strength and the Trump pivot 15:16 - Why the dollar isn’t over 15:36 - A weak dollar lifts global growth 15:56 - The 2017 breakout comparison 16:18 - One of the best setups ever 16:40 - Global M2 and debt cycle 17:03 - Basel IV and monetary creation 17:25 - Liquidity cycles repeat 17:45 - Debt refi cycles and patterns 18:06 - Liquidity leads Bitcoin 18:29 - Banana Zone phases 18:50 - Global M2 vs BTC chart 19:09 - Breakouts and corrections 19:29 - The voodoo chart: M2 + BTC 19:50 - One-way street ahead 20:08 - China, the dollar, and liquidity 20:31 - Central banks printing 20:50 - Liquidity surge from all angles 21:14 - Correlation with BTC and Nasdaq 21:39 - The Everything Code plays out 22:03 - Business cycle and crypto 22:32 - Bitcoin and ISM outlook 22:54 - Bitcoin at 450K? 23:21 - Altseason and business cycle 23:48 - Earnings, spending, and risk 24:16 - Altcoins = risk curve 24:40 - ISM >50 = big signal 25:06 - Everyone's fearful at the bottom 25:35 - Bearish sentiment at extremes 26:03 - Institutions still not in 26:29 - Indicators signal reversals 26:56 - Bitcoin corrections are normal 27:18 - The 2017 rollercoaster 27:42 - Technicals: #Solana & $SUI 28:00 - Sui charts breaking out 28:28 - Sui vs $SOL: faster horse 28:50 - $DEEP: top performer 29:16 - Ecosystem growth & excitement 29:45 - Market reacting to the vision 30:07 - Follow liquidity, not noise 30:27 - RSI and breakouts 30:47 - Liquidity patterns repeat 31:13 - We are in the Banana Zone 31:30 - No cycle top in sight 31:56 - This is just the beginning 32:19 - Banana Zone map 32:44 - Final advice: don’t mess this up 33:08 - Cycle could run into Q2 2026 33:39 - Stick to the program and DFTU

Raoul Pal

533,987 次观看 • 1 年前

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 👇

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 👇

Ruslan Khairullin

16,872 次观看 • 1 个月前

If you follow the right people on X, you'll never stop hearing about the importance of risk management. But it's challenging to find actionable rules to actually manage your risk in real time. In our interview with Deepak Uppal (a top US Investing Championship performer), you get just that: — Timestamps: 00:00 - Deepak Uppal - 259% Return In 2023 USIC! 06:30 - Risk Management Breakdown 09:51 - Market Conditions & Equity Curve 15:38 - General Market Conditions 21:10 - Position Sizing 24:36 - Stop Losses 28:33 - 2 Types Of Risk 32:54 - PANW Example 38:51 - LLY Example Oversize 42:48 - NVDA Example Earnings 48:20 - META, TSLA & MSTR Example 54:15 - Key Takeaways 55:56 - Strong Uptrends VS Testing The Water Situation 01:00:52 - Progressive Exposure 01:05:09 - Selling Into Strength 01:07:18 - General Questions 01:16:56 - Exercise To Practice 01:21:25 - Advice To Traders Enjoy 💪

If you follow the right people on X, you'll never stop hearing about the importance of risk management. But it's challenging to find actionable rules to actually manage your risk in real time. In our interview with Deepak Uppal (a top US Investing Championship performer), you get just that: — Timestamps: 00:00 - Deepak Uppal - 259% Return In 2023 USIC! 06:30 - Risk Management Breakdown 09:51 - Market Conditions & Equity Curve 15:38 - General Market Conditions 21:10 - Position Sizing 24:36 - Stop Losses 28:33 - 2 Types Of Risk 32:54 - PANW Example 38:51 - LLY Example Oversize 42:48 - NVDA Example Earnings 48:20 - META, TSLA & MSTR Example 54:15 - Key Takeaways 55:56 - Strong Uptrends VS Testing The Water Situation 01:00:52 - Progressive Exposure 01:05:09 - Selling Into Strength 01:07:18 - General Questions 01:16:56 - Exercise To Practice 01:21:25 - Advice To Traders Enjoy 💪

TraderLion

40,223 次观看 • 1 年前

New Journey Man episode with my dear friend Alex Gurevich—please enjoy! 00:00 – Welcome to The Journeyman 01:12 – Meet Alex Gurevich 02:08 – Alex’s Macro Framework 04:47 – Five Key Forces Driving Markets 07:00 – Rate Cuts & Central Bank Cycles 08:18 – Fiscal Dominance & Inflation Risks 09:37 – Demographics and Deflation 10:07 – Geopolitics and Trade Shifts 12:32 – The Rise of the Singularity 14:05 – Why Rates Remain Sticky 16:17 – Tariffs and the Bond Market 18:03 – Basel, Regulation & Forced Buying 20:26 – Stocks, Bonds & Mispriced Narratives 22:45 – Why Crises Always End in Liquidity 25:15 – 2022’s Puzzle: Real Rates & Liquidity 27:08 – Will the Fed Cut Soon? 28:37 – Favorite Macro Trades 30:25 – Currency Plays: Yen & Yuan 32:18 – Gold, Silver & Hard Assets 35:16 – Patience in Commodities 36:08 – Bitcoin, Crypto & Long-Term Views 37:00 – Copper & Industrial Demand 38:14 – Bearish on Equities… For Now 41:03 – Crises Create Opportunity 43:01 – The Buy-the-Dip Mindset 44:48 – The AI Singularity is Here 47:11 – Kurzweil Was Right 49:21 – End of the Exponential Age 51:14 – Energy as the True Constraint 55:15 – Can AI Solve Its Energy Crisis? 58:15 – Kardashev Scale & Solar Limits 01:02:37 – What Happens to the Economy? 01:04:34 – UBI and the End of Work 01:06:53 – Energy as the New Macro Constraint 01:07:29 – Why 2030 Could Be a Turning Point 01:10:12 – Can AI Run a Macro Fund? 01:14:29 – A Future Dominated by AGI 01:16:13 – This Changes Everything 01:18:44 – Final Thoughts & Takeaways

New Journey Man episode with my dear friend Alex Gurevich—please enjoy! 00:00 – Welcome to The Journeyman 01:12 – Meet Alex Gurevich 02:08 – Alex’s Macro Framework 04:47 – Five Key Forces Driving Markets 07:00 – Rate Cuts & Central Bank Cycles 08:18 – Fiscal Dominance & Inflation Risks 09:37 – Demographics and Deflation 10:07 – Geopolitics and Trade Shifts 12:32 – The Rise of the Singularity 14:05 – Why Rates Remain Sticky 16:17 – Tariffs and the Bond Market 18:03 – Basel, Regulation & Forced Buying 20:26 – Stocks, Bonds & Mispriced Narratives 22:45 – Why Crises Always End in Liquidity 25:15 – 2022’s Puzzle: Real Rates & Liquidity 27:08 – Will the Fed Cut Soon? 28:37 – Favorite Macro Trades 30:25 – Currency Plays: Yen & Yuan 32:18 – Gold, Silver & Hard Assets 35:16 – Patience in Commodities 36:08 – Bitcoin, Crypto & Long-Term Views 37:00 – Copper & Industrial Demand 38:14 – Bearish on Equities… For Now 41:03 – Crises Create Opportunity 43:01 – The Buy-the-Dip Mindset 44:48 – The AI Singularity is Here 47:11 – Kurzweil Was Right 49:21 – End of the Exponential Age 51:14 – Energy as the True Constraint 55:15 – Can AI Solve Its Energy Crisis? 58:15 – Kardashev Scale & Solar Limits 01:02:37 – What Happens to the Economy? 01:04:34 – UBI and the End of Work 01:06:53 – Energy as the New Macro Constraint 01:07:29 – Why 2030 Could Be a Turning Point 01:10:12 – Can AI Run a Macro Fund? 01:14:29 – A Future Dominated by AGI 01:16:13 – This Changes Everything 01:18:44 – Final Thoughts & Takeaways

Raoul Pal

136,948 次观看 • 1 年前

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

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

Please enjoy my latest Journey Man episode with Mike Cagney 🇺🇸 00:00 Introduction 02:14 Interview with Mike Cagney Begins – A Pioneer in Tokenization 02:46 Mike's Background in Finance and Transition to Blockchain 04:20 The Evolution from Hedge Funds to Fintech and Blockchain 05:23 Bitcoin, Blockchain, and Displacing Trust with Truth 06:27 How Blockchain Can Reshape Capital Markets 07:58 The Role of Blockchain in Lending and Prime Brokerage 09:27 The Impact of Blockchain on Financial Intermediaries 12:00 Extracting Cost Savings Through On-Chain Transactions 14:36 Traditional Financial Institutions Adopting Blockchain 16:44 Creating a Permanent Capital Guarantor for Private Credit 18:22 Real-Time Remittance Tracking and Its Impact on Hedge Funds 19:52 The Struggle to Get Banks and Regulators on Board 21:27 Public Blockchain Adoption: Resistance and Opportunities 23:39 Developing a Blockchain-Native Security for Fiat Rails 25:14 The Future of On-Chain Securities and Banking Infrastructure 27:26 Building a Decentralized Exchange for Blockchain Assets 30:07 The Vision of a Fully Cross-Collateralized Financial System 32:49 The Expansion into Public Equities and Disrupting Prime Brokerage 34:29 How Traditional Financial Institutions View Blockchain 36:48 Challenges of Tokenizing Traditional Financial Systems 39:04 Why Financial Institutions Are Hesitant to Embrace Blockchain 41:07 The Future of Blockchain in Global Finance 42:49 Scaling Challenges for Blockchain in Financial Markets 44:44 Ethereum vs. Other Chains: The Institutional Perspective 48:02 The Potential of JP Morgan Launching a Stablecoin on Ethereum 50:39 Figure’s Plans for Public Listings and Market Expansion 53:44 Expected Regulatory Changes and Market Structure Updates 57:29 Key Takeaways: The Future of Blockchain in Finance 58:36 Raoul's Final Thoughts and Reflections on the Interview 1:00:00 Conclusion and Final Thoughts

Please enjoy my latest Journey Man episode with Mike Cagney 🇺🇸 00:00 Introduction 02:14 Interview with Mike Cagney Begins – A Pioneer in Tokenization 02:46 Mike's Background in Finance and Transition to Blockchain 04:20 The Evolution from Hedge Funds to Fintech and Blockchain 05:23 Bitcoin, Blockchain, and Displacing Trust with Truth 06:27 How Blockchain Can Reshape Capital Markets 07:58 The Role of Blockchain in Lending and Prime Brokerage 09:27 The Impact of Blockchain on Financial Intermediaries 12:00 Extracting Cost Savings Through On-Chain Transactions 14:36 Traditional Financial Institutions Adopting Blockchain 16:44 Creating a Permanent Capital Guarantor for Private Credit 18:22 Real-Time Remittance Tracking and Its Impact on Hedge Funds 19:52 The Struggle to Get Banks and Regulators on Board 21:27 Public Blockchain Adoption: Resistance and Opportunities 23:39 Developing a Blockchain-Native Security for Fiat Rails 25:14 The Future of On-Chain Securities and Banking Infrastructure 27:26 Building a Decentralized Exchange for Blockchain Assets 30:07 The Vision of a Fully Cross-Collateralized Financial System 32:49 The Expansion into Public Equities and Disrupting Prime Brokerage 34:29 How Traditional Financial Institutions View Blockchain 36:48 Challenges of Tokenizing Traditional Financial Systems 39:04 Why Financial Institutions Are Hesitant to Embrace Blockchain 41:07 The Future of Blockchain in Global Finance 42:49 Scaling Challenges for Blockchain in Financial Markets 44:44 Ethereum vs. Other Chains: The Institutional Perspective 48:02 The Potential of JP Morgan Launching a Stablecoin on Ethereum 50:39 Figure’s Plans for Public Listings and Market Expansion 53:44 Expected Regulatory Changes and Market Structure Updates 57:29 Key Takeaways: The Future of Blockchain in Finance 58:36 Raoul's Final Thoughts and Reflections on the Interview 1:00:00 Conclusion and Final Thoughts

Raoul Pal

154,659 次观看 • 1 年前

Economy Annual Current Affairs - 100 Key Highlights for UPSC, SSC, Banking Exams by Dr.Mrunal Patel Timestamps: 00:00:00 - Introduction 00:00:24 - Headline Compilation 00:03:09 - Pillar 1: Money and Banking 00:03:31 - Deadline Enforcement 00:05:11 - Ease of Doing Business vs Public Safety 00:06:41 - Cheque Clearance Postponement 00:07:03 - UPI Updates 00:07:25 - Bitcoin Volatility and Trump 00:09:13 - Stablecoins and China Digital Yuan 00:10:19 - RBI Governors 00:11:02 - NPAs and Credit Card Issues 00:12:30 - Gold Loan Rules Relaxation 00:13:16 - IBC Code Amendments 00:13:39 - Pillar 2: Share Market 00:14:17 - Gold Price Surge and Smuggling 00:15:30 - Sovereign Gold Bonds Changes 00:16:13 - SEBI Leadership Shift 00:17:03 - Adani US Court Issues 00:18:08 - Tech Bubble Warnings 00:19:17 - Market Cap Examples 00:20:05 - Elon Musk Tesla Demands 00:20:55 - Over-Financialization Concerns 00:21:14 - F&O Trading Losses 00:22:21 - Corporate Nepotism at Reliance 00:23:09 - Pillar 1D: Insurance FDI Increase 00:23:51 - PM Jan Arogya Yojana Disputes 00:24:29 - Bima Sugam Portal 00:24:53 - Pension Incentives for Freshers 00:26:06 - Digital KYC Accessibility 00:27:12 - Pillar 2: Budget Taxation GST 00:27:38 Income tax relief 00:28:40 GST 2.0 00:30:43 Pan-Masala Cess 00:31:28 Finance Commission 00:31:48 Subsidies Revdi Culture 00:34:24 - Rupee Depreciation Reasons 00:34:59 - Trump Policies Impact 00:35:20 - Tariff Wars and Immigration 00:35:51 - Beautiful Bill and DOGE 00:36:12 - WTO Issues 00:36:56 - Democracy in Growth 00:37:21 - China Supply Chain Weaponization 00:37:51 - SCO and RIC Meetings 00:38:18 - Diplomacy No Permanent Friends 00:38:42 - FTA with UK 00:39:09 - Opportunities in Crisis 00:39:32 - EU Trade Deals 00:40:19 - Sanctions on Nayara 00:40:40 - Microsoft Reaction 00:41:02 - Digital Policy Need 00:41:26 - Pillar 4: Sectors of Economy 00:41:53 - PM Dhanya Krishi Yojana 00:42:14 - Makhana in Bihar 00:42:38 - No Major Farmer Sops 00:43:03 - Agriculture Budget 00:43:35 - Manufacturing PLI 00:43:57 - Startups and Criticism 00:44:31 - Startup Counterarguments 00:45:03 - Kolhapuri Chappal GI 00:45:52 - Four Labor Codes 00:46:16 - Engels Pause AI 00:46:42 - IT Job Losses 00:47:07 - Industrial Revolution Comparison 00:47:16 - PLFS Data 00:47:42 - GDP IMF Projection 00:48:01 - Growth vs Development 00:48:14 - Data Quality C Grade 00:48:33 - Methodology Changes 00:48:55 - Pillar 5: Infrastructure 00:49:22 - Nuclear Liability 00:50:06 - Mineral Partnerships 00:50:29 - US Exclusion 00:50:46 - Transport Pilot Rules 00:51:06 - Toll Systems 00:51:38 - Ethanol Blending 00:51:57 - Smart Cities Funding End 00:52:54 - Communication Infra 00:53:19 - Pillar 6: Census Delay 00:53:35 - Demographic Challenges 00:54:17 - Population Challenges 00:54:36 - Pension Age Debates 00:55:04 - Health Education Updates 00:55:28 - PM SHRI Scheme 00:55:40 - Open Book Exams 00:56:19 - IIT Issues 00:56:43 - Hindi Medium Initiative 00:57:05 - MGNREGA Extensions 00:57:48 - Poverty Definitions 00:58:27 - Inequality Gini 00:59:12 - HDI Rankings 00:59:43 - Other Indexes 00:59:48 - Win26 Series Announcement 01:00:10 - PCB15 Course Details 01:01:10 - Unacademy Offer 01:02:04 - Final Closing ✍🏻 Join Unacademy for UPSC Prelims + Mains Coaching:

Economy Annual Current Affairs - 100 Key Highlights for UPSC, SSC, Banking Exams by Dr.Mrunal Patel Timestamps: 00:00:00 - Introduction 00:00:24 - Headline Compilation 00:03:09 - Pillar 1: Money and Banking 00:03:31 - Deadline Enforcement 00:05:11 - Ease of Doing Business vs Public Safety 00:06:41 - Cheque Clearance Postponement 00:07:03 - UPI Updates 00:07:25 - Bitcoin Volatility and Trump 00:09:13 - Stablecoins and China Digital Yuan 00:10:19 - RBI Governors 00:11:02 - NPAs and Credit Card Issues 00:12:30 - Gold Loan Rules Relaxation 00:13:16 - IBC Code Amendments 00:13:39 - Pillar 2: Share Market 00:14:17 - Gold Price Surge and Smuggling 00:15:30 - Sovereign Gold Bonds Changes 00:16:13 - SEBI Leadership Shift 00:17:03 - Adani US Court Issues 00:18:08 - Tech Bubble Warnings 00:19:17 - Market Cap Examples 00:20:05 - Elon Musk Tesla Demands 00:20:55 - Over-Financialization Concerns 00:21:14 - F&O Trading Losses 00:22:21 - Corporate Nepotism at Reliance 00:23:09 - Pillar 1D: Insurance FDI Increase 00:23:51 - PM Jan Arogya Yojana Disputes 00:24:29 - Bima Sugam Portal 00:24:53 - Pension Incentives for Freshers 00:26:06 - Digital KYC Accessibility 00:27:12 - Pillar 2: Budget Taxation GST 00:27:38 Income tax relief 00:28:40 GST 2.0 00:30:43 Pan-Masala Cess 00:31:28 Finance Commission 00:31:48 Subsidies Revdi Culture 00:34:24 - Rupee Depreciation Reasons 00:34:59 - Trump Policies Impact 00:35:20 - Tariff Wars and Immigration 00:35:51 - Beautiful Bill and DOGE 00:36:12 - WTO Issues 00:36:56 - Democracy in Growth 00:37:21 - China Supply Chain Weaponization 00:37:51 - SCO and RIC Meetings 00:38:18 - Diplomacy No Permanent Friends 00:38:42 - FTA with UK 00:39:09 - Opportunities in Crisis 00:39:32 - EU Trade Deals 00:40:19 - Sanctions on Nayara 00:40:40 - Microsoft Reaction 00:41:02 - Digital Policy Need 00:41:26 - Pillar 4: Sectors of Economy 00:41:53 - PM Dhanya Krishi Yojana 00:42:14 - Makhana in Bihar 00:42:38 - No Major Farmer Sops 00:43:03 - Agriculture Budget 00:43:35 - Manufacturing PLI 00:43:57 - Startups and Criticism 00:44:31 - Startup Counterarguments 00:45:03 - Kolhapuri Chappal GI 00:45:52 - Four Labor Codes 00:46:16 - Engels Pause AI 00:46:42 - IT Job Losses 00:47:07 - Industrial Revolution Comparison 00:47:16 - PLFS Data 00:47:42 - GDP IMF Projection 00:48:01 - Growth vs Development 00:48:14 - Data Quality C Grade 00:48:33 - Methodology Changes 00:48:55 - Pillar 5: Infrastructure 00:49:22 - Nuclear Liability 00:50:06 - Mineral Partnerships 00:50:29 - US Exclusion 00:50:46 - Transport Pilot Rules 00:51:06 - Toll Systems 00:51:38 - Ethanol Blending 00:51:57 - Smart Cities Funding End 00:52:54 - Communication Infra 00:53:19 - Pillar 6: Census Delay 00:53:35 - Demographic Challenges 00:54:17 - Population Challenges 00:54:36 - Pension Age Debates 00:55:04 - Health Education Updates 00:55:28 - PM SHRI Scheme 00:55:40 - Open Book Exams 00:56:19 - IIT Issues 00:56:43 - Hindi Medium Initiative 00:57:05 - MGNREGA Extensions 00:57:48 - Poverty Definitions 00:58:27 - Inequality Gini 00:59:12 - HDI Rankings 00:59:43 - Other Indexes 00:59:48 - Win26 Series Announcement 01:00:10 - PCB15 Course Details 01:01:10 - Unacademy Offer 01:02:04 - Final Closing ✍🏻 Join Unacademy for UPSC Prelims + Mains Coaching:

Dr. Mrunal Patel (Ph.D.)

20,867 次观看 • 7 个月前

What It's Like Building a Proprietary Power Trading Firm with Cory Paddock Cory Paddock (Cory Paddock) has been trading the physical power grid since the early 2000s. He built his own firm from scratch in 2014 — trading his own capital — and has navigated every major paradigm shift in U.S. energy markets since coal dominated the grid. "It's the perfect amount of darkness. The information is public — but it's in the dark." We cover: - How Cory built a point of view on paradigm shifts before the market caught up - Why power trading sits at the intersection of economics & physics — and why that matters for edge - Why backtesting more than a few years of power data is basically useless — the grid isn't the same grid - LMP & locational marginal pricing: how physical grid constraints turn into alpha if you know where to look - The 5–10 trades that make your year — and why forcing setups in the lean periods kills you - How GBE stripped pay uncertainty out of trader comp so people can just focus on trading well - What it actually feels like watching your own money swing in real-time — and when it stops feeling that way Thanks so much Cory for coming on Odds on Open! Timestamps: 00:00 Intro 01:09 Starting GBE and finding trading edge 01:38 Overview of electricity markets and pricing 02:05 Power trading structure and deregulated markets 04:11 Research pipeline for market data analysis 04:56 Domain knowledge and renewable energy trading 06:39 LLMs and AI tools for quants 07:49 Grid data and intraday market signals 09:25 Finding alpha in electricity markets 10:13 Paradigm shifts and regime change insights 13:19 Coal to gas, wind, and solar trends 14:39 Data centers, EVs, and load growth 16:47 Recruiting talent in energy trading firms 17:38 Gen Z quants and algorithmic trading skills 21:55 Outliers, agency, and Gen Z traders 24:11 Culture and innovation in quant finance 27:29 Trading personal capital and risk management 28:06 PJM West Hub and market dynamics 32:19 Five-minute tick data and volatility 34:49 High-conviction trades and alpha generation 35:35 Incentive alignment and trader performance 36:42 Pay structure and removing stress capital 39:22 Motivation and purpose in trading careers 40:00 Passing knowledge to the next generation 42:04 Host reflections on electricity trading 42:14 Closing thoughts and sign-off

What It's Like Building a Proprietary Power Trading Firm with Cory Paddock Cory Paddock (Cory Paddock) has been trading the physical power grid since the early 2000s. He built his own firm from scratch in 2014 — trading his own capital — and has navigated every major paradigm shift in U.S. energy markets since coal dominated the grid. "It's the perfect amount of darkness. The information is public — but it's in the dark." We cover: - How Cory built a point of view on paradigm shifts before the market caught up - Why power trading sits at the intersection of economics & physics — and why that matters for edge - Why backtesting more than a few years of power data is basically useless — the grid isn't the same grid - LMP & locational marginal pricing: how physical grid constraints turn into alpha if you know where to look - The 5–10 trades that make your year — and why forcing setups in the lean periods kills you - How GBE stripped pay uncertainty out of trader comp so people can just focus on trading well - What it actually feels like watching your own money swing in real-time — and when it stops feeling that way Thanks so much Cory for coming on Odds on Open! Timestamps: 00:00 Intro 01:09 Starting GBE and finding trading edge 01:38 Overview of electricity markets and pricing 02:05 Power trading structure and deregulated markets 04:11 Research pipeline for market data analysis 04:56 Domain knowledge and renewable energy trading 06:39 LLMs and AI tools for quants 07:49 Grid data and intraday market signals 09:25 Finding alpha in electricity markets 10:13 Paradigm shifts and regime change insights 13:19 Coal to gas, wind, and solar trends 14:39 Data centers, EVs, and load growth 16:47 Recruiting talent in energy trading firms 17:38 Gen Z quants and algorithmic trading skills 21:55 Outliers, agency, and Gen Z traders 24:11 Culture and innovation in quant finance 27:29 Trading personal capital and risk management 28:06 PJM West Hub and market dynamics 32:19 Five-minute tick data and volatility 34:49 High-conviction trades and alpha generation 35:35 Incentive alignment and trader performance 36:42 Pay structure and removing stress capital 39:22 Motivation and purpose in trading careers 40:00 Passing knowledge to the next generation 42:04 Host reflections on electricity trading 42:14 Closing thoughts and sign-off

Ethan Kho

17,408 次观看 • 6 个月前

Lighter’s TGE is likely days away, and this is a clean short-term trade, not a long-term hold. In this video, I explain why Lighter is the strongest Hyperliquid competitor, where it may be mispriced, and my exact buy (1.5–2B FDV) and sell (5–7B FDV) levels post-TGE. If you’re getting the airdrop or trading launch volatility, this is my playbook going into year-end. 2:22 Framing this as a trade, not a long-term hold 3:38 Valuation framework: Lighter vs Hyperliquid revenue & FDV 5:51 Equity vs token debate — do fees accrue to the token? 8:57 Why VC equity holders are also token-aligned 12:03 Fair valuation: why 5B FDV makes sense 14:00 Post-TGE price action scenarios explained 16:46 Why exchange-only trading matters for TGE performance 19:55 Most likely scenarios after launch 22:11 What happens if price rips vs dumps 23:01 Where I would buy if Lighter dips 24:35 VC entry price & why 1.5B FDV matters 26:02 OTC points pricing & implied token valuation 28:51 Cost to farm points vs fair value 32:42 Defining the low-end buy zone (1.5–2B FDV) 33:46 Defining the sell zone (5–7B FDV) 35:57 Final trade plan & position management 38:26 Closing thoughts & how I’ll trade post-TGE

Lighter’s TGE is likely days away, and this is a clean short-term trade, not a long-term hold. In this video, I explain why Lighter is the strongest Hyperliquid competitor, where it may be mispriced, and my exact buy (1.5–2B FDV) and sell (5–7B FDV) levels post-TGE. If you’re getting the airdrop or trading launch volatility, this is my playbook going into year-end. 2:22 Framing this as a trade, not a long-term hold 3:38 Valuation framework: Lighter vs Hyperliquid revenue & FDV 5:51 Equity vs token debate — do fees accrue to the token? 8:57 Why VC equity holders are also token-aligned 12:03 Fair valuation: why 5B FDV makes sense 14:00 Post-TGE price action scenarios explained 16:46 Why exchange-only trading matters for TGE performance 19:55 Most likely scenarios after launch 22:11 What happens if price rips vs dumps 23:01 Where I would buy if Lighter dips 24:35 VC entry price & why 1.5B FDV matters 26:02 OTC points pricing & implied token valuation 28:51 Cost to farm points vs fair value 32:42 Defining the low-end buy zone (1.5–2B FDV) 33:46 Defining the sell zone (5–7B FDV) 35:57 Final trade plan & position management 38:26 Closing thoughts & how I’ll trade post-TGE

VirtualBacon

54,587 次观看 • 7 个月前

how to operate a company: complete breakdown 00:00 The goal of operations 01:23 A product is not a company 03:25 Why US investors won't fund foreign companies 05:38 Why everyone uses a Delaware C Corp 06:47 The 10M shares / 10% option pool standard 07:28 Why your strike price has to be tiny 07:49 The 83(b) election (file in 30 days) 08:38 The mistake that costs founders millions 09:28 External GC vs Stripe Atlas vs Clerky 11:39 Don't grift your metrics on Twitter 12:36 What investors actually want to see 13:17 Founder breakups all start with one question 14:14 Financials tell a story, what does yours say? 14:38 Real dilution numbers: pre-seed to Series A 16:08 Why advisor shares are usually a scam 17:34 Most "advisors" disappear after they sign 19:05 Incentivized customers aren't real customers 20:30 The right way to actually pay yourself 21:58 Don't pay unauthorized personnel 23:22 When do you actually need a board? 25:17 Stop hiring expensive lawyers 26:17 The 100x rule for early hires 27:15 Never hire someone you can't learn from 28:08 Equity over cash signals real belief 29:11 How to poach a Meta engineers 29:53 "Ask for advice" hiring trick 30:55 What a real trial offer looks like 32:16 Why working with friends is a trap

how to operate a company: complete breakdown 00:00 The goal of operations 01:23 A product is not a company 03:25 Why US investors won't fund foreign companies 05:38 Why everyone uses a Delaware C Corp 06:47 The 10M shares / 10% option pool standard 07:28 Why your strike price has to be tiny 07:49 The 83(b) election (file in 30 days) 08:38 The mistake that costs founders millions 09:28 External GC vs Stripe Atlas vs Clerky 11:39 Don't grift your metrics on Twitter 12:36 What investors actually want to see 13:17 Founder breakups all start with one question 14:14 Financials tell a story, what does yours say? 14:38 Real dilution numbers: pre-seed to Series A 16:08 Why advisor shares are usually a scam 17:34 Most "advisors" disappear after they sign 19:05 Incentivized customers aren't real customers 20:30 The right way to actually pay yourself 21:58 Don't pay unauthorized personnel 23:22 When do you actually need a board? 25:17 Stop hiring expensive lawyers 26:17 The 100x rule for early hires 27:15 Never hire someone you can't learn from 28:08 Equity over cash signals real belief 29:11 How to poach a Meta engineers 29:53 "Ask for advice" hiring trick 30:55 What a real trial offer looks like 32:16 Why working with friends is a trap

Founders Inc

20,344 次观看 • 3 个月前

E178: Tushar Jain - Why Multicoin is betting big on Hyperliquid, Zcash and Solana Tushar Jain is Managing Partner at Multicoin Capital. He's back on the show to talk about where crypto is in the cycle, how he sizes bets across $SOL, $HYPE, and $ZEC, and the frameworks he uses to manage his own psychology. Timestamps: 0:00 - Intro 1:31 - Who is Tushar Jain 3:44 - Are we at a crypto turning point? 4:57 - Buying into bad news before confirmation 6:24 - Buying vs. selling: which is harder 7:13 - Still bullish on Solana ? 9:15 - TradFi issuers and credible neutrality 11:47 - Sponsors: Variational Bitwise 12:39 - How to size two competing bullish bets 14:13 - Category leader vs. "better play" 17:00 - Most obvious trade for 2026: $ZEC 19:39 - What Zcash 🛡️ represents 22:27 - Valuing an asset with no revenue 24:18 - Trading framework vs. buy-and-hold 26:40 - Valuing $SOL and $HYPE 31:45 - Sponsors KAST Trezor 32:54 - Timing entries in volatile assets 36:26 - Why Multicoin Capital doesn't trade, only manages 39:25 - The four sources of investing edge 41:14 - Edge examples: $ZEC, $HYPE, $ENA 43:21 - What Ethena represents 45:37 - How much founder quality matters : G | Ethena example 47:09 - When to take profits 49:50 - Thoughts on Ethereum and $ETH 51:44 - Kyle leaving Multicoin 53:03 - Sponsors Jupiter Ethena 53:46 - Why Tushar is still in crypto 58:26 - Wrap-up and thanks 1:00:37 - Bonus segment intro - Zcash drama + Hyperliquid report 1:00:39 - What happened with the Zcash bug 1:04:13 - Zcash's fix: the Ironwood pool 1:05:50 - How long it took to decide to buy more 1:08:13 - Multicoin's Hyperliquid report 1:09:55 - Base case: $319 $HYPE price target, key assumptions 1:15:21 - Is the crypto bottom in? 1:18:11 - Closing thanks

E178: Tushar Jain - Why Multicoin is betting big on Hyperliquid, Zcash and Solana Tushar Jain is Managing Partner at Multicoin Capital. He's back on the show to talk about where crypto is in the cycle, how he sizes bets across $SOL, $HYPE, and $ZEC, and the frameworks he uses to manage his own psychology. Timestamps: 0:00 - Intro 1:31 - Who is Tushar Jain 3:44 - Are we at a crypto turning point? 4:57 - Buying into bad news before confirmation 6:24 - Buying vs. selling: which is harder 7:13 - Still bullish on Solana ? 9:15 - TradFi issuers and credible neutrality 11:47 - Sponsors: Variational Bitwise 12:39 - How to size two competing bullish bets 14:13 - Category leader vs. "better play" 17:00 - Most obvious trade for 2026: $ZEC 19:39 - What Zcash 🛡️ represents 22:27 - Valuing an asset with no revenue 24:18 - Trading framework vs. buy-and-hold 26:40 - Valuing $SOL and $HYPE 31:45 - Sponsors KAST Trezor 32:54 - Timing entries in volatile assets 36:26 - Why Multicoin Capital doesn't trade, only manages 39:25 - The four sources of investing edge 41:14 - Edge examples: $ZEC, $HYPE, $ENA 43:21 - What Ethena represents 45:37 - How much founder quality matters : G | Ethena example 47:09 - When to take profits 49:50 - Thoughts on Ethereum and $ETH 51:44 - Kyle leaving Multicoin 53:03 - Sponsors Jupiter Ethena 53:46 - Why Tushar is still in crypto 58:26 - Wrap-up and thanks 1:00:37 - Bonus segment intro - Zcash drama + Hyperliquid report 1:00:39 - What happened with the Zcash bug 1:04:13 - Zcash's fix: the Ironwood pool 1:05:50 - How long it took to decide to buy more 1:08:13 - Multicoin's Hyperliquid report 1:09:55 - Base case: $319 $HYPE price target, key assumptions 1:15:21 - Is the crypto bottom in? 1:18:11 - Closing thanks

MR SHIFT 🦁

195,410 次观看 • 1 个月前

How to Figure Out Whether a Crypto Token Is Worth Its Trading Price In this episode, José Maria Macedo and Ari Paul discuss: 😱 How upcoming token unlocks are about to flood the market with higher supply than demand for a long while 👍👎 Whether VCs are extractive to token projects or not 🚀 How to design tokens for long-term growth Timestamps 🔹 00:00 Intro 🔹 01:58 Why upcoming token unlocks are creating market jitters 🔹 10:22 How the ratio of unrealized gains to market cap influences token price movements 🔹 12:22 How some token projects manipulate their reported circulating supply 🔹 20:24 Whether and how everyday investors can uncover the truth about token projects 🔹 23:37 What secondary market trading says about the potential impact of upcoming token unlocks 🔹 34:50 Why Jose believes that the current token launch strategy, despite its flaws, is still favored by insiders and unlikely to change soon 🔹 41:02 Why some projects favor decisions that are more likely to result in short-term gains over long-term success 🔹 46:36 Why Jose believes that simple time-based token unlocks often work better than complex metrics, and how projects can balance funding with realistic success metrics 🔹 53:04 Why Ari believes the SEC's investigations into VCs for acting as securities dealers might be justified, and how these practices resemble pump-and-dump schemes 🔹 59:11 With numerous token unlocks looming, why the outlook is bearish for many projects, and what challenges they face in mitigating potential sell-offs 🔹 1:05:52 Why many crypto investors might end up holding the bag in the current cycle, despite plans to sell early and avoid losses 🔹 1:12:27 What the future role of VCs is in crypto, and how the influx of token unlocks and the rise of meme coins could shape the bull cycle

How to Figure Out Whether a Crypto Token Is Worth Its Trading Price In this episode, José Maria Macedo and Ari Paul discuss: 😱 How upcoming token unlocks are about to flood the market with higher supply than demand for a long while 👍👎 Whether VCs are extractive to token projects or not 🚀 How to design tokens for long-term growth Timestamps 🔹 00:00 Intro 🔹 01:58 Why upcoming token unlocks are creating market jitters 🔹 10:22 How the ratio of unrealized gains to market cap influences token price movements 🔹 12:22 How some token projects manipulate their reported circulating supply 🔹 20:24 Whether and how everyday investors can uncover the truth about token projects 🔹 23:37 What secondary market trading says about the potential impact of upcoming token unlocks 🔹 34:50 Why Jose believes that the current token launch strategy, despite its flaws, is still favored by insiders and unlikely to change soon 🔹 41:02 Why some projects favor decisions that are more likely to result in short-term gains over long-term success 🔹 46:36 Why Jose believes that simple time-based token unlocks often work better than complex metrics, and how projects can balance funding with realistic success metrics 🔹 53:04 Why Ari believes the SEC's investigations into VCs for acting as securities dealers might be justified, and how these practices resemble pump-and-dump schemes 🔹 59:11 With numerous token unlocks looming, why the outlook is bearish for many projects, and what challenges they face in mitigating potential sell-offs 🔹 1:05:52 Why many crypto investors might end up holding the bag in the current cycle, despite plans to sell early and avoid losses 🔹 1:12:27 What the future role of VCs is in crypto, and how the influx of token unlocks and the rise of meme coins could shape the bull cycle

Laura Shin

180,481 次观看 • 2 年前

State of AI compute 2026: my conversation with stephen balaban of Lambda on the neocloud boom, data centers, GPUs and what's ahead 00:00 — Cold open 01:21 — Why GPU compute was never a commodity 02:45 — The H100 price index and what it gets wrong 04:02 — The real moat: technology or financing? 05:57 — Winner-take-all, or room for many neoclouds 06:48 — Are we overbuilding or underbuilding AI compute? 09:26 — What if AI gets 10x more compute-efficient? 10:44 — The real bottleneck: land, power, and shell 11:38 — The backlash against data centers — and the misinformation 15:00 — Opening the hood: from photons to tokens 17:11 — Extracting more value from the same chip 19:26 — Frontier inference and distributed training, explained 23:26 — What actually drives compute cost 25:21 — Lambda's chip stack and the NVIDIA relationship 26:17 — A multi-silicon world? CUDA, CUDNN, and NVIDIA's real moat 28:59 — Networking, storage, and the one-click cluster 34:46 — Renting vs. owning, and full vertical integration 36:24 — How global is Lambda? Does location still matter? 38:44 — The financing stack: off-take agreements, SPVs, and credit 41:16 — Why a 2023 GPU leases for more today 42:36 — A futures market for compute? 43:54 — Origin story: facial recognition, Perceptio, and Apple 47:03 — The Lambda hat and Dream Scope 48:59 — The $60K bet that became a cloud business 52:00 — Holding the team together through the hard times 54:30 — Bringing on a new CEO; Stephen as CTO 57:33 — Matching xAI on high-velocity deployment 59:29 — "AI won't write software — it will become the software" 01:01:30 — Neural software vs. vibe coding 01:04:25 — Do agents change the compute layer 01:06:14 — Self-assembling software inside Lambda 01:08:18 — Gigawatt-scale AI factories 01:08:57 — One person, one GPU 01:12:04 — Hot takes: overrated and underrated in AI

State of AI compute 2026: my conversation with stephen balaban of Lambda on the neocloud boom, data centers, GPUs and what's ahead 00:00 — Cold open 01:21 — Why GPU compute was never a commodity 02:45 — The H100 price index and what it gets wrong 04:02 — The real moat: technology or financing? 05:57 — Winner-take-all, or room for many neoclouds 06:48 — Are we overbuilding or underbuilding AI compute? 09:26 — What if AI gets 10x more compute-efficient? 10:44 — The real bottleneck: land, power, and shell 11:38 — The backlash against data centers — and the misinformation 15:00 — Opening the hood: from photons to tokens 17:11 — Extracting more value from the same chip 19:26 — Frontier inference and distributed training, explained 23:26 — What actually drives compute cost 25:21 — Lambda's chip stack and the NVIDIA relationship 26:17 — A multi-silicon world? CUDA, CUDNN, and NVIDIA's real moat 28:59 — Networking, storage, and the one-click cluster 34:46 — Renting vs. owning, and full vertical integration 36:24 — How global is Lambda? Does location still matter? 38:44 — The financing stack: off-take agreements, SPVs, and credit 41:16 — Why a 2023 GPU leases for more today 42:36 — A futures market for compute? 43:54 — Origin story: facial recognition, Perceptio, and Apple 47:03 — The Lambda hat and Dream Scope 48:59 — The $60K bet that became a cloud business 52:00 — Holding the team together through the hard times 54:30 — Bringing on a new CEO; Stephen as CTO 57:33 — Matching xAI on high-velocity deployment 59:29 — "AI won't write software — it will become the software" 01:01:30 — Neural software vs. vibe coding 01:04:25 — Do agents change the compute layer 01:06:14 — Self-assembling software inside Lambda 01:08:18 — Gigawatt-scale AI factories 01:08:57 — One person, one GPU 01:12:04 — Hot takes: overrated and underrated in AI

Matt Turck

70,916 次观看 • 1 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

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 • 6 个月前

BREAKING: anonymous 17-year old in blr makes $190k/mo in profit. we cover - - how he got hacked and started his villain arc - big time gamer started learning code - how he built game exploits to make money - his final evolution, a CSGO-style case opening platform for another really big game. boom, $190k in profit. he must remain anonymous due to ethical/moral/legal concerns. oh, and his parents don't know what he does. 00:00 Trailer 01:07 Disclaimer 01:30 First Meeting 02:35 First taste of online money 03:50 Shady shortcuts 06:57 The bug that changed everything 08:09 Selling fast with resellers and crypto 09:56 When the whole market collapsed 11:23 Learning to code 14:10 Pivot to a new gaming site 17:53 Simple breakdown of the platform 20:25 Credits system and why it works 22:02 Revenue and volume explained 26:18 Keeping users hooked 29:20 Bans, legal risk and staying safe 31:04 What this does to users 35:19 Plateau problem and scaling limits 38:02 Cashing out and hiding success 40:42 Switching to legit online businesses 43:39 Clipping business model explained 45:13 Fintech idea: make payments frictionless 48:06 Advice for young builders and wrap full episode links are in the comments.

BREAKING: anonymous 17-year old in blr makes $190k/mo in profit. we cover - - how he got hacked and started his villain arc - big time gamer started learning code - how he built game exploits to make money - his final evolution, a CSGO-style case opening platform for another really big game. boom, $190k in profit. he must remain anonymous due to ethical/moral/legal concerns. oh, and his parents don't know what he does. 00:00 Trailer 01:07 Disclaimer 01:30 First Meeting 02:35 First taste of online money 03:50 Shady shortcuts 06:57 The bug that changed everything 08:09 Selling fast with resellers and crypto 09:56 When the whole market collapsed 11:23 Learning to code 14:10 Pivot to a new gaming site 17:53 Simple breakdown of the platform 20:25 Credits system and why it works 22:02 Revenue and volume explained 26:18 Keeping users hooked 29:20 Bans, legal risk and staying safe 31:04 What this does to users 35:19 Plateau problem and scaling limits 38:02 Cashing out and hiding success 40:42 Switching to legit online businesses 43:39 Clipping business model explained 45:13 Fintech idea: make payments frictionless 48:06 Advice for young builders and wrap full episode links are in the comments.

Subah Wadhwani

104,394 次观看 • 7 个月前