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Two traders. Two mindsets. Two outcomes. 😐 Evil — trading on FOMO & random signals Today's PnL: -$1000 😊 Good — trading with Quant Intelligence Today's PnL: +$1450 Good always wins with evidence. That's the difference Quant AI is building helping traders move from guessing to research, before the...

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Real Nadiya

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38,888 просмотров • 2 дней назад •via X (Twitter)

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In less than two hours, the doors open and stream starts ​​1. Sixteen traders log on to Avantis perps 2. Every 10 minutes the lowest PnL team is eliminated 3. One team walks out with $10,000 cash from Battle Trade Open bar, live audience, and leverage. This is for the degens
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In less than two hours, the doors open and stream starts ​​1. Sixteen traders log on to Avantis perps 2. Every 10 minutes the lowest PnL team is eliminated 3. One team walks out with $10,000 cash from Battle Trade Open bar, live audience, and leverage. This is for the degens

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Inside Two Sigma & AQR with Bill Mann: How Early Quants Built Edge Before the Modern Tools Existed Bill Mann spent nearly 11 years across two of the world's most elite quant funds — AQR & Two Sigma — rising to Senior Vice President while building alpha models, establishing quantamental research teams, & designing the ML/AI systems that powered their forecasts. "A real edge you used to have 15 years ago was creating your own version of someone else's data." We cover: - How Two Sigma's fundamentals team built proprietary data pipelines before vendors existed - Why point-in-time databases were a secret weapon — & how look-ahead bias destroyed competitors - The crowding problem hiding inside everyone's favorite value factor - LLMs in quant research: what agents can already replace & what still requires human intuition - Why junior quants are at risk — & the one mindset that keeps senior researchers irreplaceable - How HarmoniQ Insights pivoted from advising buy-side firms to backing fintech startups with sweat equity - The New Barbarians thesis: crypto natives meeting old Wall Street, & why both sides need each other - Bill's one piece of advice for aspiring quants: build your own model, put real money behind it, learn from the losses Timestamps: 00:00 Intro 00:57 Life as a Quant at Two Sigma 02:36 Finding Edge in Fundamental Data 07:04 Creating a Creative Quant Research Culture 11:19 How LLMs Change Quantitative Trading 15:52 AI’s Impact on Junior Quant Careers 22:56 Using AI Tools for Learning 23:57 HarmoniQ Insights: Advising Fintech Startups 30:47 The New Barbarians Podcast Explained 33:26 Crypto and Market Makers vs TradFi 34:54 Career Advice for Aspiring Quants 38:46 Final Takeaways
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Inside Two Sigma & AQR with Bill Mann: How Early Quants Built Edge Before the Modern Tools Existed Bill Mann spent nearly 11 years across two of the world's most elite quant funds — AQR & Two Sigma — rising to Senior Vice President while building alpha models, establishing quantamental research teams, & designing the ML/AI systems that powered their forecasts. "A real edge you used to have 15 years ago was creating your own version of someone else's data." We cover: - How Two Sigma's fundamentals team built proprietary data pipelines before vendors existed - Why point-in-time databases were a secret weapon — & how look-ahead bias destroyed competitors - The crowding problem hiding inside everyone's favorite value factor - LLMs in quant research: what agents can already replace & what still requires human intuition - Why junior quants are at risk — & the one mindset that keeps senior researchers irreplaceable - How HarmoniQ Insights pivoted from advising buy-side firms to backing fintech startups with sweat equity - The New Barbarians thesis: crypto natives meeting old Wall Street, & why both sides need each other - Bill's one piece of advice for aspiring quants: build your own model, put real money behind it, learn from the losses Timestamps: 00:00 Intro 00:57 Life as a Quant at Two Sigma 02:36 Finding Edge in Fundamental Data 07:04 Creating a Creative Quant Research Culture 11:19 How LLMs Change Quantitative Trading 15:52 AI’s Impact on Junior Quant Careers 22:56 Using AI Tools for Learning 23:57 HarmoniQ Insights: Advising Fintech Startups 30:47 The New Barbarians Podcast Explained 33:26 Crypto and Market Makers vs TradFi 34:54 Career Advice for Aspiring Quants 38:46 Final Takeaways

Ethan Kho

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A message from our CEO, Annanay Kapila QFEX is the first 24/7 no-broker trading exchange for equities, commodities, and FX. On QFEX, traders have direct access to markets, thereby removing the need for costly and manipulative brokers. Futures on traditional exchanges have fixed expiries and settle at maturity. Our futures never expire. We leverage perpetual futures, or perps: contracts without expiration that use funding payments to stay in line with the spot market. QFEX is built by traders with traders in mind. Our team comprises of quants from Citadel, Jump, Tower, Barclays, and Flow. We're building the ultimate trading platform, bringing fairer markets to CFD traders, deeper liquidity to crypto traders, and perps to professional traders. The future of futures is QFEX. QFEX will go live to the public in Q4 2025. Sign up for our waitlist now to get early access. Users will also receive volume-based referral rewards. TLDR; • Seamless 24/7 trading • Direct access: no brokers, no manipulation • Perpetual futures on traditional assets • Up to 30x leverage

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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 🦁

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

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Gold is down bad... even on good inflation data! How much lower are we headed? Watch the major support level around 3975 / 4k. Long term I lean bullish, but short term bulls can't seem to find a bottom... #ad 📷 Sponsored by Maven Disclaimer: Trading involves risk. Always do your own due diligence and research before trading with any firm. This is not financial advice.

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

Fraction AI

17,351 просмотров • 1 месяц назад

Jane Street, Goldman Sachs, JP Morgan, BlackRock, Hudson River Trading, Two Sigma, D.E. Shaw. The most expensive engineering teams in the world released their financial tools on GitHub. Here are 7 repos, one from each. 1. Jane Street, janestreet/magic-trace 5.3k stars. Process tracer powered by Intel PT. When your profiler is blind, magic-trace sees every CPU instruction. 2. Goldman Sachs, goldmansachs/gs-quant Derivative pricing the GS traders use at their desks. MIT licensed. 3. JP Morgan, finos/perspective What JPM traders use to watch markets in real time. A $24k/year terminal, for free. 4. BlackRock, blackrock/lcso Rust optimizer for portfolio problems. Where scipy gives up, this works. 5. Hudson River Trading, hudson-trading/corral Structured concurrency for C++20. The foundation of HFT infrastructure at one of the largest U.S. trading firms. 6. Two Sigma, twosigma/flint Time-series joins on Apache Spark with temporal tolerance. Built for billions of ticks. 7. D.E. Shaw, deshaw/pyflyby Auto-import for IPython and Jupyter. D.E. Shaw also funded the development of IPython itself. Bookmarked it
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Jane Street, Goldman Sachs, JP Morgan, BlackRock, Hudson River Trading, Two Sigma, D.E. Shaw. The most expensive engineering teams in the world released their financial tools on GitHub. Here are 7 repos, one from each. 1. Jane Street, janestreet/magic-trace 5.3k stars. Process tracer powered by Intel PT. When your profiler is blind, magic-trace sees every CPU instruction. 2. Goldman Sachs, goldmansachs/gs-quant Derivative pricing the GS traders use at their desks. MIT licensed. 3. JP Morgan, finos/perspective What JPM traders use to watch markets in real time. A $24k/year terminal, for free. 4. BlackRock, blackrock/lcso Rust optimizer for portfolio problems. Where scipy gives up, this works. 5. Hudson River Trading, hudson-trading/corral Structured concurrency for C++20. The foundation of HFT infrastructure at one of the largest U.S. trading firms. 6. Two Sigma, twosigma/flint Time-series joins on Apache Spark with temporal tolerance. Built for billions of ticks. 7. D.E. Shaw, deshaw/pyflyby Auto-import for IPython and Jupyter. D.E. Shaw also funded the development of IPython itself. Bookmarked it

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🚀 The Arena Is Open: Prove Your AI's Alpha in Live Markets This is not a giveaway. This is a global AI trading showdown. The WEEX AI Trading Hackathon is now live on DoraHacks — a real-market arena where serious traders compete on real PnL, real execution, real edge. Why top KOLs are stepping in: • $10,000 live trading capital provided by the organizer • Performance-only ranking — no demos, no marketing tricks • $880,000+ total prize pool, incl. a Bentley (~$500K) • Global exposure via leaderboards, media features & offline workshops across EU / MENA / CIS • Compete side by side with leading traders & KOLs: The Moon Show Crypto Banter Tasso Lago CRYPTO₿IRB Sam Price Tame the Ark STEPH IS CRYPTO Sheldon The Sniper Crypto Tony If you trade with conviction, run AI or systematic strategies, and want your name, strategy, and reputation recognized at a global level — this stage was built for you. Real markets. Real credibility. Real reputation. See you on the leaderboard.

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🚨HOW I BACKTEST TRADING STRATEGIES USING CLAUDE CODE > Most traders backtest the wrong way > They fit a strategy to historical data > See +300% and think they found the holy grail > Go live - blow up > That's curve fitting, the classic trap > The right way is walk-forward analysis > Train on one chunk of data, test on another > Slide the window, repeat > If the strategy survives on data it's never seen - that's a signal > If it doesn't - trash it, no regrets > The entire process runs through > Claude Code in one conversation > Not a single line of code written by hand > Trading here: > The same method used by quant funds The difference between a trader and an artist is a walk-forward test

zostaff

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Momentum is building fast on Velvet | SocialFAI, and the race for 75,000,000 GEMS is entering its most competitive phase. With only a few days remaining, every trade has become more meaningful for anyone aiming to maximize their Epoch 11 rewards. The Perps Trading Competition is now in full swing, giving traders one last opportunity to climb the rankings before the current epoch comes to a close. What makes this event exciting is that success isn't limited to one type of trader. 📈 The PNL Pool recognizes traders who consistently execute profitable positions. ⚡ The Volume Pool rewards participants who stay active and keep the markets moving. Your trading activity can qualify you for rewards from both pools, creating multiple paths to accumulate more GEMS before distributions begin. The competition wraps up on August 9, while Epoch 11 officially concludes on August 10, unlocking 2.7M $VELVET for eligible participants. As the deadline approaches, leaderboard positions are changing rapidly, making this the perfect time to stay engaged, refine your strategy, and capitalize on every trading opportunity. A few well-timed trades could be the difference between an average finish and a significantly larger reward allocation. Keep trading. Keep climbing. And secure your share of the rewards before the window closes. Explore:
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Momentum is building fast on Velvet | SocialFAI, and the race for 75,000,000 GEMS is entering its most competitive phase. With only a few days remaining, every trade has become more meaningful for anyone aiming to maximize their Epoch 11 rewards. The Perps Trading Competition is now in full swing, giving traders one last opportunity to climb the rankings before the current epoch comes to a close. What makes this event exciting is that success isn't limited to one type of trader. 📈 The PNL Pool recognizes traders who consistently execute profitable positions. ⚡ The Volume Pool rewards participants who stay active and keep the markets moving. Your trading activity can qualify you for rewards from both pools, creating multiple paths to accumulate more GEMS before distributions begin. The competition wraps up on August 9, while Epoch 11 officially concludes on August 10, unlocking 2.7M $VELVET for eligible participants. As the deadline approaches, leaderboard positions are changing rapidly, making this the perfect time to stay engaged, refine your strategy, and capitalize on every trading opportunity. A few well-timed trades could be the difference between an average finish and a significantly larger reward allocation. Keep trading. Keep climbing. And secure your share of the rewards before the window closes. Explore:

Daniel Samuel Etim

18,993 просмотров • 8 дней назад

Most traders stare at charts all day and still miss the move. Not because they are slow, but because price is never where the story starts. In crypto, the story always starts with people. Real momentum forms on Twitter, Telegram, Discord, and private chats. By the time the chart confirms it, early positioning is already gone. That is the gap most traders never close. That gap is where Fere AI fits into my routine. It is not a trading bot or signal machine. It is a research companion that tracks narratives, social chatter, and sentiment in real time while I focus on thinking. Fere AI♠️ helps me track narratives and sentiments early, so decisions come from clarity, not panic.
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Most traders stare at charts all day and still miss the move. Not because they are slow, but because price is never where the story starts. In crypto, the story always starts with people. Real momentum forms on Twitter, Telegram, Discord, and private chats. By the time the chart confirms it, early positioning is already gone. That is the gap most traders never close. That gap is where Fere AI fits into my routine. It is not a trading bot or signal machine. It is a research companion that tracks narratives, social chatter, and sentiment in real time while I focus on thinking. Fere AI♠️ helps me track narratives and sentiments early, so decisions come from clarity, not panic.

Counselor

10,772 просмотров • 7 месяцев назад

Prediction markets are no longer a niche corner of crypto. real people are putting real money behind real convictions on sports, crypto, and global geopolitics. the infrastructure is maturing fast. at the center of that shift is POTS MARKET. not just a platform a tool for aggregating collective intelligence. Users bet on outcomes with actual stakes, and the market reveals what the crowd actually believes. The numbers back it up. POTS Market is officially ranked a Top 20 Builder on Polymarket, with over $4M in monthly trading volume. that's not speculation that's traction. sports. financial indicators. major world events. POTS Market gives you the liquidity and depth to turn sharp insights into actual positions. If you see it before the market does, you can profit from it. stop guessing. start backing your conviction with stakes. explore the ecosystem → POTS MARKET POTS MONEY
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Prediction markets are no longer a niche corner of crypto. real people are putting real money behind real convictions on sports, crypto, and global geopolitics. the infrastructure is maturing fast. at the center of that shift is POTS MARKET. not just a platform a tool for aggregating collective intelligence. Users bet on outcomes with actual stakes, and the market reveals what the crowd actually believes. The numbers back it up. POTS Market is officially ranked a Top 20 Builder on Polymarket, with over $4M in monthly trading volume. that's not speculation that's traction. sports. financial indicators. major world events. POTS Market gives you the liquidity and depth to turn sharp insights into actual positions. If you see it before the market does, you can profit from it. stop guessing. start backing your conviction with stakes. explore the ecosystem → POTS MARKET POTS MONEY

KAISER

12,208 просмотров • 1 месяц назад

In 2014 a quant at Two Sigma quit his job, waited two months, then hacked back into their network and walked out with the trading algorithms that had made the fund billions. He planned to start his own hedge fund with them. Two Sigma manages $52 billion and was founded by the math PhD who sat next to Jeff Bezos at D.E. Shaw. They almost lost the formula to a former employee with a laptop. The full story is on a YouTube channel almost no one in finance reads. Bookmark it tonight. Then read the article below.
12:17

In 2014 a quant at Two Sigma quit his job, waited two months, then hacked back into their network and walked out with the trading algorithms that had made the fund billions. He planned to start his own hedge fund with them. Two Sigma manages $52 billion and was founded by the math PhD who sat next to Jeff Bezos at D.E. Shaw. They almost lost the formula to a former employee with a laptop. The full story is on a YouTube channel almost no one in finance reads. Bookmark it tonight. Then read the article below.

zostaff

55,338 просмотров • 2 месяцев назад

Joe Schoen's opening statement to his his bye week news conference: "Two wins is not where we want to be right now, it's not good enough. I understand the frustration from fans, ownership, the people inside the building. Nobody is more frustrated than myself. It starts with me. I'm tasked with trying to get this organization back in the proper direction. The standard is to compete for championships year in and year out. That's the plan moving forward."
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Joe Schoen's opening statement to his his bye week news conference: "Two wins is not where we want to be right now, it's not good enough. I understand the frustration from fans, ownership, the people inside the building. Nobody is more frustrated than myself. It starts with me. I'm tasked with trying to get this organization back in the proper direction. The standard is to compete for championships year in and year out. That's the plan moving forward."

SNY Giants

193,139 просмотров • 8 месяцев назад

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 просмотров • 3 месяцев назад

This Chinese quant made $500,000 trading oil on Polymarket - and now trying to hide. Previously his profile was called bin8888. Now he’s switched to hidden mode and is just "Anon" But I saved his profile: His Claude + MiroFish trading engine is so good that he doesn’t want anyone watching him. Claude gathers the data for the simulation. OSINT parser scrapes every Iran/Hormuz headline. MiroFish simulates how every single piece of data affects the oil price. Result: an algo that’s been perfectly calling oil moves for two straight months. This guy knows in advance what others only see after the chart moves. And unlike top futures traders, every one of his trades is visible on-chain. His knowledge and algorithm are completely open for us to use. I’m copying every new oil trade he makes with this bot (US users can actually trade here, unlike the main Polymarket site):
0:46

This Chinese quant made $500,000 trading oil on Polymarket - and now trying to hide. Previously his profile was called bin8888. Now he’s switched to hidden mode and is just "Anon" But I saved his profile: His Claude + MiroFish trading engine is so good that he doesn’t want anyone watching him. Claude gathers the data for the simulation. OSINT parser scrapes every Iran/Hormuz headline. MiroFish simulates how every single piece of data affects the oil price. Result: an algo that’s been perfectly calling oil moves for two straight months. This guy knows in advance what others only see after the chart moves. And unlike top futures traders, every one of his trades is visible on-chain. His knowledge and algorithm are completely open for us to use. I’m copying every new oil trade he makes with this bot (US users can actually trade here, unlike the main Polymarket site):

cvxv666

185,007 просмотров • 3 месяцев назад

MUST-WATCH: Inside high-frequency trading & building the future of markets with Annanay Kapila Annanay Kapila (ak0) — former quant trader at Flow Traders & Tower Research, now founder of QFEX (YC-backed). Building the first 24/7 perpetual futures exchange for equities, commodities & FX — bringing crypto-level UX to traditional assets. "My friends at Cambridge have been making $5M+ a year for the last few years. They don't have to work anymore. But no one retires early. Why? Everyone who gets selected has that desire to win that transcends money, even rationality." We cover: - What it's really like inside elite HFT shops — international math Olympiad winners, professional poker players & zero room for error - Why the smartest traders keep working after making generational wealth (hint: it's pure competitive ego) - The two schools of quant trading: Chicago pit traders vs MIT mathematicians — and which strategies they dominate - How his team navigated the FTX collapse in real-time (including friends who escaped via Dogecoin withdrawals) - Building QFEX : 24/7 perpetual futures on equities with crypto-level UX — "We're building FTX without the fraud" - YC insider stories: meeting Sam Altman & Paul Graham, raising from Paul Graham (Paul Graham) personally, why the $125k for 7% is worth it - Culture secrets from Citadel & Tower: when your dev environment pages you at 2am on Saturday - The one interview hack VCs use that most founders miss (interrupt their CV walkthrough relentlessly) - Why doomerism is dead wrong: "My life would've been worse if I was born 10 years ago. I dread to think how much better it would be if I was born 10 years from now" Huge thanks to ak0 for the transparency. Follow his journey building the future of financial markets. 01:12 Inside high frequency trading culture and competition 03:00 What drives top performers in HFT 03:47 Why elite traders never retire early 04:50 How Tower structures quant trading work 06:14 Chicago versus MIT quant trading styles 10:29 How modern market making actually works 12:25 Why prop firms struggle to scale capital 16:36 Annanay's work at Tower and Flow 19:15 Tower's crypto trading and API edge 19:24 How firms handled the FTX collapse 23:42 Inside FTX culture and HK crypto scene 27:11 What QFEX is building for traders 29:37 QFEX beta launch and early rollout 29:56 Why building an exchange is exciting 32:48 QFEX execution edge and team DNA 36:24 Why quants leave HFT for startups 38:22 QFEX culture versus HFT culture 41:46 How meritocracy works inside QFEX 47:52 How QFEX hires true A players 53:05 Backchanneling and evaluating candidates 53:27 What YC actually teaches founders 55:21 Lessons from meeting Paul Graham and Sam Altman 58:41 Why startups fail and how to pivot 1:00:48 Why young people should stay optimistic 1:11:22 Closing remarks and QFEX vision
1:12:32

MUST-WATCH: Inside high-frequency trading & building the future of markets with Annanay Kapila Annanay Kapila (ak0) — former quant trader at Flow Traders & Tower Research, now founder of QFEX (YC-backed). Building the first 24/7 perpetual futures exchange for equities, commodities & FX — bringing crypto-level UX to traditional assets. "My friends at Cambridge have been making $5M+ a year for the last few years. They don't have to work anymore. But no one retires early. Why? Everyone who gets selected has that desire to win that transcends money, even rationality." We cover: - What it's really like inside elite HFT shops — international math Olympiad winners, professional poker players & zero room for error - Why the smartest traders keep working after making generational wealth (hint: it's pure competitive ego) - The two schools of quant trading: Chicago pit traders vs MIT mathematicians — and which strategies they dominate - How his team navigated the FTX collapse in real-time (including friends who escaped via Dogecoin withdrawals) - Building QFEX : 24/7 perpetual futures on equities with crypto-level UX — "We're building FTX without the fraud" - YC insider stories: meeting Sam Altman & Paul Graham, raising from Paul Graham (Paul Graham) personally, why the $125k for 7% is worth it - Culture secrets from Citadel & Tower: when your dev environment pages you at 2am on Saturday - The one interview hack VCs use that most founders miss (interrupt their CV walkthrough relentlessly) - Why doomerism is dead wrong: "My life would've been worse if I was born 10 years ago. I dread to think how much better it would be if I was born 10 years from now" Huge thanks to ak0 for the transparency. Follow his journey building the future of financial markets. 01:12 Inside high frequency trading culture and competition 03:00 What drives top performers in HFT 03:47 Why elite traders never retire early 04:50 How Tower structures quant trading work 06:14 Chicago versus MIT quant trading styles 10:29 How modern market making actually works 12:25 Why prop firms struggle to scale capital 16:36 Annanay's work at Tower and Flow 19:15 Tower's crypto trading and API edge 19:24 How firms handled the FTX collapse 23:42 Inside FTX culture and HK crypto scene 27:11 What QFEX is building for traders 29:37 QFEX beta launch and early rollout 29:56 Why building an exchange is exciting 32:48 QFEX execution edge and team DNA 36:24 Why quants leave HFT for startups 38:22 QFEX culture versus HFT culture 41:46 How meritocracy works inside QFEX 47:52 How QFEX hires true A players 53:05 Backchanneling and evaluating candidates 53:27 What YC actually teaches founders 55:21 Lessons from meeting Paul Graham and Sam Altman 58:41 Why startups fail and how to pivot 1:00:48 Why young people should stay optimistic 1:11:22 Closing remarks and QFEX vision

Ethan Kho

164,024 просмотров • 6 месяцев назад