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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...

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Full interview with the founder and CEO of Propr Lou sits down with me to discuss Hyperliquid and the future of prop trading Timestamps: 00:00:00 Intro 00:00:16 Meet Louis: from TradFi to crypto 00:01:52 How the crypto market has changed 00:03:49 Why build on Hyperliquid 00:06:52 How propr got started 00:08:40 Scaling a lean team (and the grind) 00:12:24 What a prop firm actually is 00:15:33 Agents, bots, and the future of trading 00:18:32 What Louis is most proud of 00:21:02 Thinking about the token and TGE 00:24:14 Where propr goes in 5 years 00:25:57 Best and worst trades 00:27:50 Life outside crypto + shoutouts
29:41

Full interview with the founder and CEO of Propr Lou sits down with me to discuss Hyperliquid and the future of prop trading Timestamps: 00:00:00 Intro 00:00:16 Meet Louis: from TradFi to crypto 00:01:52 How the crypto market has changed 00:03:49 Why build on Hyperliquid 00:06:52 How propr got started 00:08:40 Scaling a lean team (and the grind) 00:12:24 What a prop firm actually is 00:15:33 Agents, bots, and the future of trading 00:18:32 What Louis is most proud of 00:21:02 Thinking about the token and TGE 00:24:14 Where propr goes in 5 years 00:25:57 Best and worst trades 00:27:50 Life outside crypto + shoutouts

ryandcrypto

43,328 görüntüleme • 4 ay önce

Insilico Terminal Podcast Episode 10 - Temu Robot James 00:00 Intro, Scott’s background in TradFi, pivot to crypto in 2019, and early DeFi summer success 07:08 Momentum effects in crypto, on-chain inefficiencies, and finding edge in smaller venues 20:18 Building systems, market-making hybrids, and why simple signals outperform optimization 26:00 Mid-frequency quant trading, execution costs, and partnering with market makers 35:00 Trend following as a career - psychology, losing streaks and Hyperliquid strategy 43:00 Burnout, mental health, taking breaks, and reflections on trading longevity 48:05 Life story - crime, jail, rebuilding through trading, lessons on risk and humility 52:29 Future of crypto and systematic trading, decaying edges, and institutional arrival 58:08 Vault design, momentum modeling, and cross-asset trend logic 01:12:00 Closing thoughts on money, wisdom with age, and the balance between success and peace
1:16:30

Insilico Terminal Podcast Episode 10 - Temu Robot James 00:00 Intro, Scott’s background in TradFi, pivot to crypto in 2019, and early DeFi summer success 07:08 Momentum effects in crypto, on-chain inefficiencies, and finding edge in smaller venues 20:18 Building systems, market-making hybrids, and why simple signals outperform optimization 26:00 Mid-frequency quant trading, execution costs, and partnering with market makers 35:00 Trend following as a career - psychology, losing streaks and Hyperliquid strategy 43:00 Burnout, mental health, taking breaks, and reflections on trading longevity 48:05 Life story - crime, jail, rebuilding through trading, lessons on risk and humility 52:29 Future of crypto and systematic trading, decaying edges, and institutional arrival 58:08 Vault design, momentum modeling, and cross-asset trend logic 01:12:00 Closing thoughts on money, wisdom with age, and the balance between success and peace

Insilico Terminal

24,048 görüntüleme • 11 ay önce

New episode with rbit A conversation with someone who has seen almost every era of crypto market structure firsthand. We talk through the shift from early inefficiencies and manual trading to stat arb, HFT, execution, and competing in a much harder market. 00:00 Getting into Bitcoin in 2010, mining, Mt. Gox, and coming back in 2017 13:37 ICO mania, BitMEX, and the Bitcoin fork trade 17:14 Why 2018 pushed him toward quant trading 24:52 Building a profitable stat arb business on FTX 40:21 Stat arb vs HFT, and why crypto got more competitive 49:09 What his trading operation looks like today 55:13 The future of crypto market structure and where edge is going 01:05:04 Advice for newer traders and why quant thinking differs from retail
1:06:30

New episode with rbit A conversation with someone who has seen almost every era of crypto market structure firsthand. We talk through the shift from early inefficiencies and manual trading to stat arb, HFT, execution, and competing in a much harder market. 00:00 Getting into Bitcoin in 2010, mining, Mt. Gox, and coming back in 2017 13:37 ICO mania, BitMEX, and the Bitcoin fork trade 17:14 Why 2018 pushed him toward quant trading 24:52 Building a profitable stat arb business on FTX 40:21 Stat arb vs HFT, and why crypto got more competitive 49:09 What his trading operation looks like today 55:13 The future of crypto market structure and where edge is going 01:05:04 Advice for newer traders and why quant thinking differs from retail

Insilico Terminal

48,691 görüntüleme • 5 ay önce

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
26:43

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 görüntüleme • 2 ay önce

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 görüntüleme • 1 yıl önce

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 👇
58:52

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

18,148 görüntüleme • 3 ay önce

How I Made Crazy Profits with DLMM: LP Army Member jAIsus Shares His Strategies This podcast is packed with pure alpha right until the end get amongst it ⏰Timestamps⏰ 00:00 Introduction and Guest Welcome 00:44 BBJ's Background and Entry into Crypto 02:30 Full-Time Crypto Journey 03:01 Meteor Community and Profitability 03:47 DLMM Tools and Strategies 12:22 Impact of Meteor on Solana and Crypto 14:02 Daily Routine and Strategies 22:10 Personal Trading Strategies 23:09 In and Out Strategy Explained 23:58 Navigating Market Manipulation 24:46 Using Fibonacci in Trading 26:35 Avoiding Big Losses 29:09 Balancing Life and Trading 32:27 Current Market Sentiment 37:22 Advice for New Traders 40:02 Valuable Life Lessons 41:06 Closing Remarks The LP Army & Meteora are the community to join to level up your speed
41:38

How I Made Crazy Profits with DLMM: LP Army Member jAIsus Shares His Strategies This podcast is packed with pure alpha right until the end get amongst it ⏰Timestamps⏰ 00:00 Introduction and Guest Welcome 00:44 BBJ's Background and Entry into Crypto 02:30 Full-Time Crypto Journey 03:01 Meteor Community and Profitability 03:47 DLMM Tools and Strategies 12:22 Impact of Meteor on Solana and Crypto 14:02 Daily Routine and Strategies 22:10 Personal Trading Strategies 23:09 In and Out Strategy Explained 23:58 Navigating Market Manipulation 24:46 Using Fibonacci in Trading 26:35 Avoiding Big Losses 29:09 Balancing Life and Trading 32:27 Current Market Sentiment 37:22 Advice for New Traders 40:02 Valuable Life Lessons 41:06 Closing Remarks The LP Army & Meteora are the community to join to level up your speed

Seb Monty

14,089 görüntüleme • 1 yıl önce

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
34:04

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

534,295 görüntüleme • 1 yıl önce

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 görüntüleme • 1 ay önce

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
42:18

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 görüntüleme • 7 ay önce

Episode 14 of The Y-Axis Pod with Kevin McCordic (intern) on all things Monad. Tech, community building, crypto marketing strategies, and more! Chapters: 00:00 Introduction to Monad and Kevin's Journey 05:12 The Current State of Monad's Testnet 10:10 Understanding Monad's Unique Approach to EVM Scaling 15:04 Community Building and Ecosystem Development 20:11 The Future of Monad and Its Impact on Ethereum 29:16 The Dangers of Vanity Metrics 30:46 Building Authentic Communities 34:03 The Importance of Genuine Interaction 37:07 Transitioning Community Energy to Mainnet 43:30 The Monad Company Culture 56:02 User-Driven Development vs. Engineer-Driven Development 01:00:06 The Importance of In-Person Collaboration 01:03:12 Embracing Risk and Learning from Failure 01:06:53 Building a Strong Company Culture 01:10:03 Preparing for Mainnet Launch 01:15:25 The Art of Engaging on Social Media 01:22:27 Advice for Entering the Crypto Industry
1:26:56

Episode 14 of The Y-Axis Pod with Kevin McCordic (intern) on all things Monad. Tech, community building, crypto marketing strategies, and more! Chapters: 00:00 Introduction to Monad and Kevin's Journey 05:12 The Current State of Monad's Testnet 10:10 Understanding Monad's Unique Approach to EVM Scaling 15:04 Community Building and Ecosystem Development 20:11 The Future of Monad and Its Impact on Ethereum 29:16 The Dangers of Vanity Metrics 30:46 Building Authentic Communities 34:03 The Importance of Genuine Interaction 37:07 Transitioning Community Energy to Mainnet 43:30 The Monad Company Culture 56:02 User-Driven Development vs. Engineer-Driven Development 01:00:06 The Importance of In-Person Collaboration 01:03:12 Embracing Risk and Learning from Failure 01:06:53 Building a Strong Company Culture 01:10:03 Preparing for Mainnet Launch 01:15:25 The Art of Engaging on Social Media 01:22:27 Advice for Entering the Crypto Industry

Tristan

26,412 görüntüleme • 1 yıl önce

I CAUGHT THE $436,000 INSIDER Episode 3 of PredictTime is live - and you'll hear this story straight from the source tre 🇨🇦, founder of Polysights. We go deep - into how his platform catches insiders on Polymarket before the news drops and into his life journey Everything you need to know about insider trading in prediction markets - is in this episode Timecodes: 00:00 — Cold open / Highlights 00:51 — The $436k profit case: how a $34k order paid out before the news 01:05 — Meet Tre, founder of Polysights 01:35 — How Polysights spots anomalies: radar score and wallet clusters 03:17 — What Polysights actually does: advanced analytics for prediction markets 04:00 — From aircraft engineering to the Canadian Air Force 05:01 — Entrepreneurial roots: e-commerce and dropshipping 06:13 — Selling the first company at 23 and getting paid in crypto 08:21 — Were meme coins detrimental or a launchpad into Web3? 09:46 — The "Fatherhood Buff": how a son changes drive and risk 12:03 — Rank 1 in WoW: gaming as training for founders 14:35 — From PredictFun on Blast to Polymarket: trader-first, builder-second 16:35 — Building Insider Finder: scoring every trade on Polymarket 19:34 — The Maduro case in detail: why it wasn't posted publicly 21:18 — Mayor Eric Adams dropout: prediction markets vs mainstream media 22:24 — MicroStrategy markets: 6–0 on recycled wallets 26:50 — Philosophy: why insider trading accelerates truth 30:56 — Disagreeing with Kalshi's CEO: the centralized vs decentralized divide 35:19 — If the CFTC bans insider trading: validation or death? 48:09 — Arbitrage across Polymarket, Kalshi and sportsbooks 50:48 — Why prediction markets finally boomed in 2024–2025 54:39 — Alpha decay and growing to 45,000 users 55:59 — The Bloomberg / WSJ / NYT moment 58:08 — Fundraising $1.5M from Halifax: the lead VC drama 01:02:26 — Business model: moving away from subscriptions 01:04:21 — No-code automated trading strategies as the future 01:13:20 — Roadmap: V1 by Q2 and a regulated prediction market in Canada 01:16:24 — Solo founder reality: from intern-only to an ex-Meta tech lead 01:18:46 — Crucial advice: don't build another trading terminal 01:20:27 — Breaking in with no connections, no VCs, no hub 01:24:58 — Rapid-fire: Ferrari, Bitcoin to $1M, Hyperliquid vs Kalshi 01:27:35 — The biggest insider trade he can't prove: Lord Miles 01:28:12 — Role models: CZ, Kobe, Shane, Elon 01:30:00 — Final advice: stop overthinking and take the swing
1:32:53

I CAUGHT THE $436,000 INSIDER Episode 3 of PredictTime is live - and you'll hear this story straight from the source tre 🇨🇦, founder of Polysights. We go deep - into how his platform catches insiders on Polymarket before the news drops and into his life journey Everything you need to know about insider trading in prediction markets - is in this episode Timecodes: 00:00 — Cold open / Highlights 00:51 — The $436k profit case: how a $34k order paid out before the news 01:05 — Meet Tre, founder of Polysights 01:35 — How Polysights spots anomalies: radar score and wallet clusters 03:17 — What Polysights actually does: advanced analytics for prediction markets 04:00 — From aircraft engineering to the Canadian Air Force 05:01 — Entrepreneurial roots: e-commerce and dropshipping 06:13 — Selling the first company at 23 and getting paid in crypto 08:21 — Were meme coins detrimental or a launchpad into Web3? 09:46 — The "Fatherhood Buff": how a son changes drive and risk 12:03 — Rank 1 in WoW: gaming as training for founders 14:35 — From PredictFun on Blast to Polymarket: trader-first, builder-second 16:35 — Building Insider Finder: scoring every trade on Polymarket 19:34 — The Maduro case in detail: why it wasn't posted publicly 21:18 — Mayor Eric Adams dropout: prediction markets vs mainstream media 22:24 — MicroStrategy markets: 6–0 on recycled wallets 26:50 — Philosophy: why insider trading accelerates truth 30:56 — Disagreeing with Kalshi's CEO: the centralized vs decentralized divide 35:19 — If the CFTC bans insider trading: validation or death? 48:09 — Arbitrage across Polymarket, Kalshi and sportsbooks 50:48 — Why prediction markets finally boomed in 2024–2025 54:39 — Alpha decay and growing to 45,000 users 55:59 — The Bloomberg / WSJ / NYT moment 58:08 — Fundraising $1.5M from Halifax: the lead VC drama 01:02:26 — Business model: moving away from subscriptions 01:04:21 — No-code automated trading strategies as the future 01:13:20 — Roadmap: V1 by Q2 and a regulated prediction market in Canada 01:16:24 — Solo founder reality: from intern-only to an ex-Meta tech lead 01:18:46 — Crucial advice: don't build another trading terminal 01:20:27 — Breaking in with no connections, no VCs, no hub 01:24:58 — Rapid-fire: Ferrari, Bitcoin to $1M, Hyperliquid vs Kalshi 01:27:35 — The biggest insider trade he can't prove: Lord Miles 01:28:12 — Role models: CZ, Kobe, Shane, Elon 01:30:00 — Final advice: stop overthinking and take the swing

Predict Time

58,555 görüntüleme • 4 ay önce

This week on The Knowledge Project: A rare interview with Bruce Flatt, the quiet force behind 19% annual returns for 30 years, reveals the investment principles that transformed Brookfield into a $1T global powerhouse. "Our view always has been 'Buy the best.' Own the best, buy the best; continue to reinvest into the best." (00:00:54) Changes in Investing Over the Past 25 Years (00:02:50) How Private Enterprise Has Built Our Tech Infrastructure (00:05:07) Implications and Opportunities of Passive Investing (00:14:40) AI (00:19:39) Transition to Low-Carbon Energy (00:23:19) Future of Data Centers (00:25:28) De-globalization of Industry (00:27:55) Implications of Manufacturing Repatriation (00:29:06) Long-term Prospects for America (00:31:35) Changes in Real Estate (00:34:13) Approach to Risk and Debt (00:38:40) Managing Market Dislocations (00:40:22) Long-term Investing Strategy (00:42:59) History and Future of Brookfield (00:45:48) Exploration of Private Markets and Insurance (00:46:41) Investment Decision Process (00:48:34) Introduction to Annuities (00:53:10) Understanding Brookfield’s Structure (01:00:51) Focus on Downside Protection (01:02:56) Accountability in Investment Decisions (01:04:24) Understanding Investment Cycles (01:06:59) Postmortem Analysis of Investments (01:09:07) Consideration of Geopolitical Risks
1:15:17

This week on The Knowledge Project: A rare interview with Bruce Flatt, the quiet force behind 19% annual returns for 30 years, reveals the investment principles that transformed Brookfield into a $1T global powerhouse. "Our view always has been 'Buy the best.' Own the best, buy the best; continue to reinvest into the best." (00:00:54) Changes in Investing Over the Past 25 Years (00:02:50) How Private Enterprise Has Built Our Tech Infrastructure (00:05:07) Implications and Opportunities of Passive Investing (00:14:40) AI (00:19:39) Transition to Low-Carbon Energy (00:23:19) Future of Data Centers (00:25:28) De-globalization of Industry (00:27:55) Implications of Manufacturing Repatriation (00:29:06) Long-term Prospects for America (00:31:35) Changes in Real Estate (00:34:13) Approach to Risk and Debt (00:38:40) Managing Market Dislocations (00:40:22) Long-term Investing Strategy (00:42:59) History and Future of Brookfield (00:45:48) Exploration of Private Markets and Insurance (00:46:41) Investment Decision Process (00:48:34) Introduction to Annuities (00:53:10) Understanding Brookfield’s Structure (01:00:51) Focus on Downside Protection (01:02:56) Accountability in Investment Decisions (01:04:24) Understanding Investment Cycles (01:06:59) Postmortem Analysis of Investments (01:09:07) Consideration of Geopolitical Risks

The Knowledge Project

453,197 görüntüleme • 1 yıl önce

How shaams 🐂 made $45,000,000 in crypto and advice to profitability (FULL INTERVIEW) 0:00 - Introduction 1:30 - How He Started 4:55 - Losing 6 Figures 10:20 - The Comeup 13:46 - Trading in College 14:34 - Making $500k+ on 1 Trade 15:54 - Dropping Out of College 18:45 - Trading in Miami 19:40 - Thesis Behind Trades 21:08 - How to Become Profitable 24:39 - Why Traders Lose 25:41 - Habits 28:14 - The Alpha Filter 30:29 - Risk Management 33:58 - Journaling 35:45 - Community 39:16 - Working with Fortune 44:22 - Taking Action 46:15 - Beginners Advice 51:27 - Building Connections 52:06 - Why Trade? 54:23 - What's Next? 56:52 - Final Steps (Fortune Inner Circle)
57:46

How shaams 🐂 made $45,000,000 in crypto and advice to profitability (FULL INTERVIEW) 0:00 - Introduction 1:30 - How He Started 4:55 - Losing 6 Figures 10:20 - The Comeup 13:46 - Trading in College 14:34 - Making $500k+ on 1 Trade 15:54 - Dropping Out of College 18:45 - Trading in Miami 19:40 - Thesis Behind Trades 21:08 - How to Become Profitable 24:39 - Why Traders Lose 25:41 - Habits 28:14 - The Alpha Filter 30:29 - Risk Management 33:58 - Journaling 35:45 - Community 39:16 - Working with Fortune 44:22 - Taking Action 46:15 - Beginners Advice 51:27 - Building Connections 52:06 - Why Trade? 54:23 - What's Next? 56:52 - Final Steps (Fortune Inner Circle)

James Wang

29,203 görüntüleme • 3 ay önce

Ex-Global Trading & Risk Director at Cargill on how edge is formed in commodities markets Kristine Engman spent 20+ years at Cargill—one of America's largest agriculture conglomerates—trading billions in physical & financial commodities across energy & agriculture. "Edge in commodities? It's a lot about relationships. The intel you get through those relationships—that's information not readily accessible to the rest of the marketplace that can give you an edge." We cover: - How edge actually works in commodities—relationships, capital access & information arbitrage - Why you can trade on "insider information" in commodities (unlike equities) - Managing physical risk—forecast accuracy, weather shocks & transportation nightmares - The negative power trade—selling electricity below zero & getting hauled into the boss's office - Why Cargill traders performed best when equities markets performed worst - Quantitative (and even technical) vs fundamental trading styles—finding what works & sticking to it - The Ukraine war position—going extended limit long before the invasion - Life lessons from trading—"have your house in order" & taking risks with incomplete information Timestamps: 00:00 Intro 01:15 Edge in commodities trading? Relationships, capital, information 04:40 Commodities market efficiency, information flows, and AI 08:32 Hedge funds vs. ABCDs, commodity trading strategies 13:34 When commodities outperform equities, the 2022 boom 17:45 Headline risk, social media impact on markets 19:08 Risk management strategies in physical commodities trading 26:14 Probability, forecasting, and scenarios for trading decisions 31:00 What makes a great commodities trader today 37:53 Contrarian trading strategies, alpha generation in commodities 42:24 Russia–Ukraine war impact on commodity markets, trading 45:35 Life and career lessons from commodities trading 51:30 Careers, uncertainty, and learning in commodities markets
56:21

Ex-Global Trading & Risk Director at Cargill on how edge is formed in commodities markets Kristine Engman spent 20+ years at Cargill—one of America's largest agriculture conglomerates—trading billions in physical & financial commodities across energy & agriculture. "Edge in commodities? It's a lot about relationships. The intel you get through those relationships—that's information not readily accessible to the rest of the marketplace that can give you an edge." We cover: - How edge actually works in commodities—relationships, capital access & information arbitrage - Why you can trade on "insider information" in commodities (unlike equities) - Managing physical risk—forecast accuracy, weather shocks & transportation nightmares - The negative power trade—selling electricity below zero & getting hauled into the boss's office - Why Cargill traders performed best when equities markets performed worst - Quantitative (and even technical) vs fundamental trading styles—finding what works & sticking to it - The Ukraine war position—going extended limit long before the invasion - Life lessons from trading—"have your house in order" & taking risks with incomplete information Timestamps: 00:00 Intro 01:15 Edge in commodities trading? Relationships, capital, information 04:40 Commodities market efficiency, information flows, and AI 08:32 Hedge funds vs. ABCDs, commodity trading strategies 13:34 When commodities outperform equities, the 2022 boom 17:45 Headline risk, social media impact on markets 19:08 Risk management strategies in physical commodities trading 26:14 Probability, forecasting, and scenarios for trading decisions 31:00 What makes a great commodities trader today 37:53 Contrarian trading strategies, alpha generation in commodities 42:24 Russia–Ukraine war impact on commodity markets, trading 45:35 Life and career lessons from commodities trading 51:30 Careers, uncertainty, and learning in commodities markets

Ethan Kho

82,254 görüntüleme • 7 ay önce

The firms leading in market making figured out early that infrastructure compounds. Austin Federa | 🇺🇸 sits down with Rahul Jain, Rahul Jain (Ellipsis Labs), to trace how crypto market making evolved: why being early matters, how MEV and transaction landing reshaped execution, and what it will take for onchain finance to scale beyond crypto-native users. Understanding the infrastructure layer is a prerequisite for competing with traditional trading environments. Timestamps and links below ↓ 00:00 - Introduction 03:53 - What Makes Solana Trading Different 07:17 - Trust and Retail Outcomes 12:04 - Infra Arms Race 2025 14:27 - Prop AMMs vs Order Books 17:05 - Spot Market Equilibrium 18:12 - MCP and Perps Security 21:22 - Why MCP Matters 24:25 - ACE For Safer Perps 25:47 - RWAs And Oracle Risk 29:28 - Why Retail Loves Perps 34:23 - Hypothetical VIX perps 35:29 - The Different MCP Camps 37:07 - Latency And Block Full 40:41 - Conclusion
42:09

The firms leading in market making figured out early that infrastructure compounds. Austin Federa | 🇺🇸 sits down with Rahul Jain, Rahul Jain (Ellipsis Labs), to trace how crypto market making evolved: why being early matters, how MEV and transaction landing reshaped execution, and what it will take for onchain finance to scale beyond crypto-native users. Understanding the infrastructure layer is a prerequisite for competing with traditional trading environments. Timestamps and links below ↓ 00:00 - Introduction 03:53 - What Makes Solana Trading Different 07:17 - Trust and Retail Outcomes 12:04 - Infra Arms Race 2025 14:27 - Prop AMMs vs Order Books 17:05 - Spot Market Equilibrium 18:12 - MCP and Perps Security 21:22 - Why MCP Matters 24:25 - ACE For Safer Perps 25:47 - RWAs And Oracle Risk 29:28 - Why Retail Loves Perps 34:23 - Hypothetical VIX perps 35:29 - The Different MCP Camps 37:07 - Latency And Block Full 40:41 - Conclusion

Validated

27,660 görüntüleme • 5 ay önce

DROPS E38: Vanta Trading - The Best Traders Won't Be Human Arrash is the founder and CEO of Vanta Trading, a decentralized prop trading platform built on Bittensor. He spent years as a quant trader building his own strategies before deciding the entire funded-account industry needed to be rebuilt from the ground up. We talk about: - Why most "funded accounts" trade on money that doesn't exist - Why your payout was never real - How prop firms intentionally change rules and spreads before you cash out - Why the best traders of the future won't be human And much more… Timestamps: 0:00 Introduction 1:48 Founder of Vanta 3:08 Explaining Vanta to an Uber Driver 3:26 Unfair vs Fair Funding 6:37 How do they make money? 8:33 How a Legit Prop Firm Makes Money 9:43 Founder's Journey Into Entrepreneurship 10:42 Discovering Crypto & Blockchain 13:03 From LinkedIn Engineer to Quant Trader 15:22 Trading Strategies 16:13 How Trading Is Changing? 18:39 Why TradFi Should Fear Hyperliquid 19:16 Building on BitTensor 21:43 Explaining BitTensor Simply 22:03 How BitTensor Creates Value 23:17 BitTensor's Structure 24:36 BitTensor as Crypto AI 25:35 Is the BitTensor Hype Justified? 27:09 Revenue & Profitability in BitTensor 29:17 Role of TAO 29:51 Advantages & Limitations of BitTensor ecosystem 31:56 What Is Vanta? 32:26 Why No One Fixed Prop Trading Before 33:12 Is the Entire Industry a Scam? 34:17 How Prop Firms Really Make Money 35:35 How Vanta Is Different 38:33 Copy Trading Explained 39:30 Vanta's Business Model 40:28 Dark Reality Behind Funded Accounts 43:48 Long-Term Vision for Vanta 44:50 What Happens If Too Many Traders Win? 46:25 Future Belongs to AI Traders 47:59 Vanta's Endgame 49:14 Conclusion
50:55

DROPS E38: Vanta Trading - The Best Traders Won't Be Human Arrash is the founder and CEO of Vanta Trading, a decentralized prop trading platform built on Bittensor. He spent years as a quant trader building his own strategies before deciding the entire funded-account industry needed to be rebuilt from the ground up. We talk about: - Why most "funded accounts" trade on money that doesn't exist - Why your payout was never real - How prop firms intentionally change rules and spreads before you cash out - Why the best traders of the future won't be human And much more… Timestamps: 0:00 Introduction 1:48 Founder of Vanta 3:08 Explaining Vanta to an Uber Driver 3:26 Unfair vs Fair Funding 6:37 How do they make money? 8:33 How a Legit Prop Firm Makes Money 9:43 Founder's Journey Into Entrepreneurship 10:42 Discovering Crypto & Blockchain 13:03 From LinkedIn Engineer to Quant Trader 15:22 Trading Strategies 16:13 How Trading Is Changing? 18:39 Why TradFi Should Fear Hyperliquid 19:16 Building on BitTensor 21:43 Explaining BitTensor Simply 22:03 How BitTensor Creates Value 23:17 BitTensor's Structure 24:36 BitTensor as Crypto AI 25:35 Is the BitTensor Hype Justified? 27:09 Revenue & Profitability in BitTensor 29:17 Role of TAO 29:51 Advantages & Limitations of BitTensor ecosystem 31:56 What Is Vanta? 32:26 Why No One Fixed Prop Trading Before 33:12 Is the Entire Industry a Scam? 34:17 How Prop Firms Really Make Money 35:35 How Vanta Is Different 38:33 Copy Trading Explained 39:30 Vanta's Business Model 40:28 Dark Reality Behind Funded Accounts 43:48 Long-Term Vision for Vanta 44:50 What Happens If Too Many Traders Win? 46:25 Future Belongs to AI Traders 47:59 Vanta's Endgame 49:14 Conclusion

MR SHIFT 🦁

37,896 görüntüleme • 3 ay önce