FINANCE What physical characteristics are used in the classification of organisms, and how do those characteristics determine their placement in different taxa? Provide examples of organisms that are classifi -> What physical characteristics are used in the classification of organisms, and how do those characteristics determine their placement in different taxa? Provide examples of organisms that are classified using these physical characteristics. -> The classification of organisms is based on a hierarchic

What physical characteristics are used in the classification of organisms, and how do those characteristics determine their placement in different taxa? Provide examples of organisms that are classified using these physical characteristics. -> The classification of organisms is based on a hierarchical system called taxonomy, which was developed by Carl Linnaeus in the 18th century. Taxonomy classifies organisms into different groups or taxa based on their shared physical characteristics. These characteristics can include morphology (shape and structure), anatomy (internal structure), physiology (functions and processes), and molecular (genetic) traits. Here are some examples of physical characteristics used in the classification of organisms and how they determine their placement in different taxa: 1. Morphology: The overall shape and structure of an organism can be used to classify it into a particular taxon. For example, animals with a backbone are classified as vertebrates, while those without a backbone are classified as invertebrates. Similarly, plants with vascular tissues (xylem and phloem) are classified as vascular plants, while those without vascular tissues are classified as non-vascular plants. 2. Anatomy: The internal structure of an organism can also be used for classification. For example, animals with a three-chambered heart, such as amphibians and most reptiles, are classified differently from those with a four-chambered heart, such as mammals and birds. In plants, the presence or absence of specific structures like seeds, flowers, and leaves can determine their classification into groups like angiosperms (flowering plants), gymnosperms (cone-bearing plants), or bryophytes (mosses and liverworts).


FINANCE What physical characteristics are used in the classification of organisms and how do these characteristics help to distinguish between different taxa? -> have specialized tissues and organs. 3. Mode of nutrition: Organisms can be classified as autotrophs (produce their own food through photosynthesis or chemosynthesis) or heterotrophs (consume other organisms for food). This characteristic helps distinguish between plants, animals, and fungi. 4. Repr

RISK_MODELING portfolio_composition market_conditions var_95 expected_shortfall

Instruction: Analyser et répondre sur le domaine FINANCE. Output: réponse structurée.

have specialized tissues and organs. 3. Mode of nutrition: Organisms can be classified as autotrophs (produce their own food through photosynthesis or chemosynthesis) or heterotrophs (consume other organisms for food). This characteristic helps distinguish between plants, animals, and fungi. 4. Reproduction: The mode of reproduction, such as sexual or asexual, and the presence of specialized reproductive structures can help differentiate between different groups of organisms. 5. Morphology: The overall body shape, size, and structure of an organism can be used to classify it into different taxa. For example, the presence of a backbone can distinguish between vertebrates and invertebrates. 6. Symmetry: The arrangement of body parts around a central axis can help classify organisms as radial (circular arrangement) or bilateral (mirror-image arrangement) symmetry. 7. Locomotion: The presence and type of structures used for movement, such as flagella, cilia, or limbs, can help differentiate between different groups of organisms. 8. Skeletal structure: The presence and type of internal or external skeletal structures, such as exoskeletons or endoskeletons, can be used to classify organisms. 9. Biochemistry: The types of proteins, enzymes, and other molecules present in an organism can provide clues about its evolutionary relationships and help classify it into different taxa. By examining these physical characteristics, biologists can group organisms into related taxa and better understand their evolutionary relationships. This classification system allows for a more organized and systematic study of the vast diversity of life on Earth.


FINANCE Lex Fridman Podcast: More Trump Tariffs Are Coming -> Podcast: Lex Fridman Podcast
Episode: More Trump Tariffs Are Coming
Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'}

At a moment when inflation and affordability are on virtually everyone’s mind in America, Jamieson Greer, the U.S. trade representative, said the Trump administrati

Podcast: Lex Fridman Podcast Episode: More Trump Tariffs Are Coming Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'} At a moment when inflation and affordability are on virtually everyone’s mind in America, Jamieson Greer, the U.S. trade representative, said the Trump administration was planning a new slate of tariffs. Ana Swanson, who covers international trade for The New York Times and spoke to Mr. Greer, explains why Greer thinks the policy has been a success. Guest: Ana Swanson covers trade and international economics for The New York Times. Background reading: Mr. Greer is the quiet architect of President Trump’s global trade war. Photo: Tierney L. Cross/The New York Times For more information on today’s episode, visit nytimes.com/thedaily . Transcripts of each episode will be made available by the next workday. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher . For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


FINANCE Lex Fridman Podcast: The Unprecedented Personal Profits of Trump’s Presidency -> Podcast: Lex Fridman Podcast
Episode: The Unprecedented Personal Profits of Trump’s Presidency
Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'}

A recent financial disclosure shows that President Trump has made $2.2 billion since he returned to office. Today, Eric Lipton, a New Yor

Podcast: Lex Fridman Podcast Episode: The Unprecedented Personal Profits of Trump’s Presidency Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'} A recent financial disclosure shows that President Trump has made $2.2 billion since he returned to office. Today, Eric Lipton, a New York Times investigative reporter, reveals the Trump family’s next potential windfall and how the president’s position is once again helping it happen. Guest: Eric Lipton , an investigative reporter for The New York Times. Background reading: Mr. Trump and his family reaped huge financial rewards from a crypto venture , even as routine investors suffered vast losses. He has collected about $1.4 billion in new revenue from businesses that directly benefited from his actions as president. Photo: Sergey Ponomarev for The New York Times For more information on today’s episode, visit nytimes.com/thedaily . Transcripts of each episode will be made available by the next workday. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher . For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


FINANCE Lex Fridman Podcast: Congressional Republicans Try a New Approach: Telling Trump No -> Podcast: Lex Fridman Podcast
Episode: Congressional Republicans Try a New Approach: Telling Trump No
Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'}

From the war in Iran to his plan to use taxpayer money to pay his allies, the Republican-controlled Congress has begun rebelling ag

Podcast: Lex Fridman Podcast Episode: Congressional Republicans Try a New Approach: Telling Trump No Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'} From the war in Iran to his plan to use taxpayer money to pay his allies, the Republican-controlled Congress has begun rebelling against President Trump. Today, Julie Hirschfeld Davis, a congressional editor at The New York Times, discusses whether this rebellion is a preview of a new dynamic in Washington, or a temporary show of independence that will vanish just as quickly as it arrived. Guest: Julie Hirschfield Davis , congressional editor at The New York Times. Background reading: Mr. Trump says he never promised no new wars and defends the compensation fund. Photo: Haiyun Jiang/The New York Times For more information on today’s episode, visit nytimes.com/thedaily . Transcripts of each episode will be made available by the next workday. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher . For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


FINANCE Lex Fridman Podcast: How Elon Musk Engineered the World’s Biggest I.P.O. -> Podcast: Lex Fridman Podcast
Episode: How Elon Musk Engineered the World’s Biggest I.P.O.
Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'}

SpaceX, Elon Musk’s rocket and satellite maker, is set to go public and begin selling shares as soon as next week. Ryan Mac, who reports on bu

Podcast: Lex Fridman Podcast Episode: How Elon Musk Engineered the World’s Biggest I.P.O. Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'} SpaceX, Elon Musk’s rocket and satellite maker, is set to go public and begin selling shares as soon as next week. Ryan Mac, who reports on business, explains the plan for the company’s expected record-shattering debut on the stock market, and how it is changing the rules for investing. Guest: Ryan Mac , a New York Times reporter based in Los Angeles who covers corporate accountability across the global technology industry. Background reading: Why sky-high I.P.O. pricing isn’t great for real people. From April: SpaceX filed to go public , setting the stage for a huge I.P.O. Photo: Steve Nesius/Reuters For more information on today’s episode, visit nytimes.com/thedaily . Transcripts of each episode will be made available by the next workday. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher . For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


FINANCE Lex Fridman Podcast: A New Leader — and a New Showdown — at the Fed -> Podcast: Lex Fridman Podcast
Episode: A New Leader — and a New Showdown — at the Fed
Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'}

After a year of harassing and threatening Jerome Powell, the chairman of the Federal Reserve, President Trump replaced him on Wednesday. Colby Smit

Podcast: Lex Fridman Podcast Episode: A New Leader — and a New Showdown — at the Fed Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'} After a year of harassing and threatening Jerome Powell, the chairman of the Federal Reserve, President Trump replaced him on Wednesday. Colby Smith, who covers the Fed, explains how the president ended one standoff only to create a new one. Guest: Colby Smith , a New York Times reporter covering the Federal Reserve and the U.S. economy. Background reading: The Senate confirmed Kevin Warsh as the new chair of the Federal Reserve. Video: How Jerome Powell managed a chaotic era . Photo: Kenny Holston/The New York Times, Caroline Gutman for The New York Times For more information on today’s episode, visit nytimes.com/thedaily . Transcripts of each episode will be made available by the next workday. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher . For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


FINANCE Lex Fridman Podcast: Two Superpowers Across the Table -> Podcast: Lex Fridman Podcast
Episode: Two Superpowers Across the Table
Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'}

Here’s what to expect from the summit between President Trump and China’s top leader, Xi Jinping. For the first time in nearly a decade, President Trump will mee

Podcast: Lex Fridman Podcast Episode: Two Superpowers Across the Table Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'} Here’s what to expect from the summit between President Trump and China’s top leader, Xi Jinping. For the first time in nearly a decade, President Trump will meet with President Xi Jinping of China in Beijing, where they are expected to discuss trade, technology and other points of contention. David E. Sanger, who covers the Trump administration for The New York Times, explains what is likely to come from the meeting. Guest: David E. Sanger , a White House and national security correspondent for The New York Times. Background reading: Here’s what to know about the meeting. Video: How Mr. Trump has changed the way he talks about China. Photo: Haiyun Jiang/The New York Times For more information on today’s episode, visit nytimes.com/thedaily . Transcripts of each episode will be made available by the next workday. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher . For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


FINANCE Lex Fridman Podcast: Why Even Some Democrats Hate California’s Billionaire Tax Proposal -> Podcast: Lex Fridman Podcast
Episode: Why Even Some Democrats Hate California’s Billionaire Tax Proposal
Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'}

A landmark proposal for a one-time tax on billionaires in California recently reached a milestone. The labor union backing it s

Podcast: Lex Fridman Podcast Episode: Why Even Some Democrats Hate California’s Billionaire Tax Proposal Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'} A landmark proposal for a one-time tax on billionaires in California recently reached a milestone. The labor union backing it said it had collected enough signatures to put the measure on the state’s ballot. Laurel Rosenhall, who covers California politics for The New York Times, explains how the state arrived at this moment and what it might mean nationwide. Guest: There are enough signatures to place the California billionaire tax proposal on the state ballot in November, its backers say. Background reading: There are enough signatures to place the California billionaire tax proposal on the state ballot in November, its backers say. Photo: Jae C. Hong/Associated Press For more information on today’s episode, visit nytimes.com/thedaily . Transcripts of each episode will be made available by the next workday. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher . For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


FINANCE Lex Fridman Podcast: How China Made Itself Tariff-Proof -> Podcast: Lex Fridman Podcast
Episode: How China Made Itself Tariff-Proof
Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'}

About a year into President Trump’s global trade war, China hasn’t just survived. It has emerged stronger than ever on the world stage. Keith Bradsher, the Bei

Podcast: Lex Fridman Podcast Episode: How China Made Itself Tariff-Proof Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'} About a year into President Trump’s global trade war, China hasn’t just survived. It has emerged stronger than ever on the world stage. Keith Bradsher, the Beijing bureau chief for The New York Times, discusses the domination of China’s robot-powered superfactories and how the country essentially made itself tariff-proof. Guest: Keith Bradsher , the Beijing bureau chief for The New York Times. Background reading: China’s secret weapon in the trade war is an army of factory robots . Beijing announced a record trade surplus in January as its exports flooded world markets. Photo: Qilai Shen for The New York Times For more information on today’s episode, visit nytimes.com/thedaily . Transcripts of each episode will be made available by the next workday. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher . For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


FINANCE Lex Fridman Podcast: What We’ve Learned From 10 Days of War -> Podcast: Lex Fridman Podcast
Episode: What We’ve Learned From 10 Days of War
Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'}

What began as a relentless U.S.-Israeli military assault on Iran has turned into a wider crisis as the disruption of the world’s oil markets spreads beyond

Podcast: Lex Fridman Podcast Episode: What We’ve Learned From 10 Days of War Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'} What began as a relentless U.S.-Israeli military assault on Iran has turned into a wider crisis as the disruption of the world’s oil markets spreads beyond the Middle East. Eric Schmitt, a national security correspondent for The New York Times, discusses what we know about the players involved in the fighting. Guest: Eric Schmitt , a national security correspondent for The New York Times based in Washington. Background reading: War with Iran has become the world’s latest economic hazard . Follow updates on the fighting in the Middle East. Photo: Arash Khamooshi for The New York Times For more information on today’s episode, visit nytimes.com/thedaily . Transcripts of each episode will be made available by the next workday. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher . For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


FINANCE Lex Fridman Podcast: How to Bet on (Literally) Anything -> Podcast: Lex Fridman Podcast
Episode: How to Bet on (Literally) Anything
Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'}

The explosion of prediction markets in the United States, where people bet on everything from Taylor Swift’s wedding date to election outcomes, has radically e

Podcast: Lex Fridman Podcast Episode: How to Bet on (Literally) Anything Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'} The explosion of prediction markets in the United States, where people bet on everything from Taylor Swift’s wedding date to election outcomes, has radically expanded the universe of gambling. David Yaffe-Bellany, a technology reporter, explains how these platforms became so widespread so fast, and how betting on everything could change the way we live. Guest: David Yaffe-Bellany , a technology reporter for The New York Times, covering the crypto industry. Background reading: David Yaffe-Bellany , a technology reporter for The New York Times, covering the crypto industry. Photo: Photo Illustration: atakan/iStock, via Getty Images For more information on today’s episode, visit nytimes.com/thedaily . Transcripts of each episode will be made available by the next workday. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher . For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


FINANCE Lex Fridman Podcast: Trump 2.0: The President’s Affordability Problem -> Podcast: Lex Fridman Podcast
Episode: Trump 2.0: The President’s Affordability Problem
Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'}

President Trump was elected in 2024 on the promise that he would fix the economy. Now, a new poll from The New York Times/Siena reveals that the

Podcast: Lex Fridman Podcast Episode: Trump 2.0: The President’s Affordability Problem Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'} President Trump was elected in 2024 on the promise that he would fix the economy. Now, a new poll from The New York Times/Siena reveals that the issue may be driving voters away. Nate Cohn, the chief political analyst at The Times, explains what the poll tells us. Guest: Nate Cohn , the chief political analyst for The New York Times. Background reading: Voters see a middle-class lifestyle as drifting out of reach , the poll found. Here’s what Americans really mean by “affordability.” Who are the voters who have taken a U-turn on Mr. Trump? Photo: Doug Mills/The New York Times For more information on today’s episode, visit nytimes.com/thedaily . Transcripts of each episode will be made available by the next workday. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher . For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


FINANCE Lex Fridman: #477 – Keyu Jin: China’s Economy, Tariffs, Trade, Trump, Communism & Capitalism -> Podcast: Lex Fridman
Episode: #477 – Keyu Jin: China’s Economy, Tariffs, Trade, Trump, Communism & Capitalism
Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'}


FINANCE Lex Fridman: #466 – Jeffrey Wasserstrom: China, Xi Jinping, Trade War, Taiwan, Hong Kong, Mao -> Podcast: Lex Fridman
Episode: #466 – Jeffrey Wasserstrom: China, Xi Jinping, Trade War, Taiwan, Hong Kong, Mao
Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'}


IA Lex Fridman: #453 – Javier Milei: President of Argentina – Freedom, Economics, and Corruption -> Podcast: Lex Fridman Episode: #453 – Javier Milei: President of Argentina – Freedom, Economics, and Corruption Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'}

Javier Milei is the President of Argentina. This episode is available in both English and Spanish. Thank you for listenin

Podcast: Lex Fridman Episode: #453 – Javier Milei: President of Argentina – Freedom, Economics, and Corruption Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'} Javier Milei is the President of Argentina. This episode is available in both English and Spanish. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep453-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/javier-milei-transcript CONTACT LEX: Feedback – give feedback to Lex: https://lexfridman.com/survey AMA – submit questions, videos or call-in: https://lexfridman.com/ama Hiring – join our team: https://lexfridman.com/hiring Other – other ways to get in touch: https://lexfridman.com/contact EPISODE LINKS: Javier Milei’s X: https://x.com/JMilei Javier Milei’s Instagram: https://instagram.com/javiermilei Javier Milei’s Facebook: https://facebook.com/JavierMileiEconomista SPONSORS: To support this podcast, check out our sponsors & get discounts: Eight Sleep: Temp-controlled smart mattress. Go to https://eightsleep.com/lex NetSuite: Business management software. Go to http://netsuite.com/lex BetterHelp: Online therapy and counseling. Go to https://betterhelp.com/lex AG1: All-in-one daily nutrition drinks. Go to https://drinkag1.com/lex LMNT: Zero-sugar electrolyte drink mix. Go to https://drinkLMNT.com/lex OUTLINE: (00:00) – Introduction (14:44) – Economic freedom (20:09) – Anarcho-capitalism (30:02) – Presidency and reforms (49:22) – Poverty (55:54) – Corruption (1:04:32) – Freedom (1:18:43) – Elon Musk (1:24:11) – DOGE (1:26:13) – Donald Trump (1:32:13) – US and Argentina relations (1:39:22) – Messi vs Maradona (1:48:16) – God (1:50:22) – Elvis and Rolling Stones (1:54:02) – Free market (2:01:03) – Loyalty (2:03:40) – Advice for young people (2:05:06) – Hope for Argentina PODCAST LINKS: – Podcast Website: https://lexfridman.com/podcast – Apple Podcasts: https://apple.co/2lwqZIr – Spotify: https://spoti.fi/2nEwCF8 – RSS: https://lexfridman.com/feed/podcast/ – Podcast Playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 – Clips Channel: https://www.youtube.com/lexclips SOCIAL LINKS: – X: https://x.com/lexfridman – Instagram: https://instagram.com/lexfridman – TikTok: https://tiktok.com/@lexfridman – LinkedIn: https://linkedin.com/in/lexfridman – Facebook: https://facebook.com/lexfridman – Patreon: https://patreon.com/lexfridman – Telegram: https://t.me/lexfridman – Reddit: https://reddit.com/r/lexfridman


FINANCE Lex Fridman: #413 – Bill Ackman: Investing, Financial Battles, Harvard, DEI, X & Free Speech -> Podcast: Lex Fridman
Episode: #413 – Bill Ackman: Investing, Financial Battles, Harvard, DEI, X & Free Speech
Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'}


FINANCE Lex Fridman: #345 – Coffeezilla: SBF, FTX, Fraud, Scams, Fake Gurus, Money, Fame, and Power -> Podcast: Lex Fridman Episode: #345 – Coffeezilla: SBF, FTX, Fraud, Scams, Fake Gurus, Money, Fame, and Power Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'}

Coffeezilla is a journalist and investigator on YouTube who exposes financial frauds, scams, and fake gurus. Please support

Podcast: Lex Fridman Episode: #345 – Coffeezilla: SBF, FTX, Fraud, Scams, Fake Gurus, Money, Fame, and Power Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'} Coffeezilla is a journalist and investigator on YouTube who exposes financial frauds, scams, and fake gurus. Please support this podcast by checking out our sponsors: – Rocket Money : https://rocketmoney.com/lex – Eight Sleep : https://www.eightsleep.com/lex to get special savings – BetterHelp : https://betterhelp.com/lex to get 10% off – MasterClass : https://masterclass.com/lex to get 15% off EPISODE LINKS: Coffeezilla’s YouTube: https://www.youtube.com/Coffeezilla Coffeezilla’s Twitter: https://twitter.com/coffeebreak_YT Coffeezilla’s Instagram: https://www.instagram.com/coffeebreak_yt PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ YouTube Full Episodes: https://youtube.com/lexfridman YouTube Clips: https://youtube.com/lexclips SUPPORT & CONNECT: – Check out the sponsors above, it’s the best way to support this podcast – Support on Patreon: https://www.patreon.com/lexfridman – Twitter: https://twitter.com/lexfridman – Instagram: https://www.instagram.com/lexfridman – LinkedIn: https://www.linkedin.com/in/lexfridman – Facebook: https://www.facebook.com/lexfridman – Medium: https://medium.com/@lexfridman OUTLINE: Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time. (00:00) – Introduction (06:04) – Coffee (08:13) – SBF and FTX (22:54) – $8 billion (32:01) – Evil vs incompetence (41:57) – Key lessons from FTX collapse (55:15) – Should SBF go to jail? (1:03:02) – Role of influencers and celebrities (1:07:30) – How FTX covered up fraud (1:11:26) – Interview with SBF (1:26:29) – SafeMoon fraud (1:32:41) – Bitcoin (1:43:20) – Psychology of investigating fraud (1:52:26) – Investigating politics and corruption (1:59:39) – Coffeezilla origin story (2:04:19) – MLM marketing scams (2:11:58) – Andrew Tate and Hustlers University (2:29:40) – Save the Kids crypto scandal (2:36:59) – Money and fame (2:44:03) – MrBeast (2:50:26) – Fake gurus and Get-Rich-Quick schemes (3:09:45) – Process of investigation (3:22:31) – Twitter Files release (3:31:36) – Time management and productivity (3:43:36) – Advice for young people


FINANCE The Vergecast: Apple's plot to crush OpenAI -> Podcast: The Vergecast Episode: Apple's plot to crush OpenAI Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'}

It's public beta season, which means David and Nilay have been upgrading some devices this week. We talk through the good and bad of our early experiences with Siri AI, an

Podcast: The Vergecast Episode: Apple's plot to crush OpenAI Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'} It's public beta season, which means David and Nilay have been upgrading some devices this week. We talk through the good and bad of our early experiences with Siri AI, and what it'll take for next-gen Siri to be a hit. After that, we discuss the real reason Apple decided to sue OpenAI over trade secrets, OpenAI's forthcoming smart speaker, the new Pixel colors, our emoji strategies, Brendan Carr, and much more. Further reading: Apple’s public betas for iOS 27 and more are out now Siri AI makes the Apple Watch finally feel like a wrist computer Siri AI is already changing how I use my iPhone The macOS 27 public beta is worth it just for the Liquid Glass tweaks Apple sues OpenAI for allegedly stealing hardware secrets Suno snatched millions of songs from YouTube, Genius, and Deezer Sam Altman didn’t need another lawsuit The 6 wildest claims in Apple’s lawsuit against OpenAI Another turn in the Apple v. OpenAI dispute. OpenAI has a new statement about Apple’s lawsuit. OnePlus officially gives up on the US and Europe OnePlus is dead in the US. Did it ever have a chance? Samsung shows off ‘brand new shape’ for Z Fold 8 in Spider-Man teaser OpenAI may announce a ChatGPT smart speaker this year OpenAI finally launches hardware... for Codex Pixel Watch 5 leak shows off four different finishes The Pixel colors might rule this year The PS6 sure sounds like a handheld Brendan Carr plans to let broadcast giants dominate the airwaves X admits its broken algorithm made the site feel like a ‘battleground’ States make last-ditch effort to stop the Paramount ‘media behemoth’ Paramount lead trial counsel on state AG suit: This merger is pro-competitive The new cracking face emoji might be an all-timer. Google’s Demis Hassabis says it’s time for a global AI watchdog — led by the US Google and Epic give up fighting — third-party Android app stores are coming next week Subscribe to The Verge for unlimited access to theverge.com , subscriber-exclusive newsletters, and our ad-free podcast feed .We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. (Timestamps are approximate.) 00:01:00 Intro 00:02:00 Apple Betas and New Siri 00:08:00 Gemini Car Assistant Fails 00:15:00 Apple Sues OpenAI 00:18:00 Trade Secret Law Explained 00:28:00 Settlement or Long Fight 00:35:00 OpenAI Home Device Doubts 00:42:00 Smartphone Platform Lessons 00:50:00 Pixel Colors and Naming 00:52:00 OnePlus Retreat Explained 00:55:00 Carriers and iPhone Lock In 01:05:00 Brendan Carr Bribery Scandal 01:14:00 Emoji Lightning Round 01:18:00 X Algorithm Rediscovery 01:23:00 Foothills Of Singularity 01:29:00 Paramount Merger Spin 01:33:00 Wrap And Plugs Learn more about your ad choices. Visit podcastchoices.com/adchoices


FINANCE The Vergecast: Of course Meta thinks gambling is the future -> Podcast: The Vergecast Episode: Of course Meta thinks gambling is the future Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'}

Meta's business is doing just fine. But Meta as a company, and Meta as a series of products? That is, uh, messier. David and Nilay discuss the company's on

Podcast: The Vergecast Episode: Of course Meta thinks gambling is the future Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'} Meta's business is doing just fine. But Meta as a company, and Meta as a series of products? That is, uh, messier. David and Nilay discuss the company's ongoing desire to be relevant and cool, the unceasing importance of Instagram, and why it makes perfect sense that Facebook would clone Polymarket. After that, the hosts talk about Apple's huge price increases, and the ways in which RAMageddon might change the gadget market forever. Then it's time for Brendan Carr is a dummy, the latest on the movie Artificial, and the looming fight over AI data. Further reading: The Steam Machine is the most ambitious game console I’ve ever played  Valve prices the Steam Machine at $1,049  How much would the Steam Machine cost to build?  Valve describes just how brutal RAM negotiations are in 2026  The Steam Machine is the start of an even more expensive future for game consoles  I drove the Slate Truck — there’s more to it than EV minimalism  The Slate Auto pickup truck starts at $24,950  Meta pauses employee tracking tool after internal leak.  Now Meta will track what employees do on their computers to train its AI agents  Meta CTO Andrew Bosworth Admits the Company’s AI Reorg Was ‘Atrocious’ | WIRED Zuckerberg reportedly wants a Polymarket clone — but without real money Polymarket paid creators to post fake videos of themselves placing and winning bets.  Meta plans to release AI-powered prediction market app Facebook’s Creator Studio has been revived as an AI companion app Kaleidescape’s Strato E player blows streaming, and your wallet, away  Something’s off with Midjourney’s pivot to body scanners  People Inc. CEO says it’s “probably” headed for a confrontation with Google over AI crawling. ABC encourages viewers to back network amid FCC investigations Bob Iger’s Disney wanted Apple, Twitter, and 007  The film about Sam Altman has been dropped by Amazon MGM  Subscribe to The Verge for unlimited access to theverge.com , subscriber-exclusive newsletters, and our ad-free podcast feed . We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. (Timestamps are approximate.) 00:01:00 Cannes Cold Open 00:07:00 Coach x Spotify Absurdity 00:10:00 Vox Media PMX Shakeup 00:14:00 Meta Chaos vs Money 00:26:00 Gambling as Engagement 00:33:00 Ramageddon Hits Gadgets 00:44:00 Slate Truck Price 00:45:00 Range And Truck Feel 00:48:00 Tech Bloat Backlash 00:50:00 BYD Versus Tesla 00:56:00 FCC Targets The View 01:04:00 Amazon Drops Artificial 01:08:00 Kaleidescape Versus Blu Ray 01:13:00 Bob Iger Merger Rumors 01:17:00 Blocking AI Crawlers 01:22:00 Wrap Up And Next Week Learn more about your ad choices. Visit podcastchoices.com/adchoices


FINANCE The Vergecast: How clips ate the internet -> Podcast: The Vergecast Episode: How clips ate the internet Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'}

It's now surprisingly easy to watch most of a movie without ever trying to, or to spend hours with a podcast without ever playing an episode. In the burgeoning clip economy,

Podcast: The Vergecast Episode: How clips ate the internet Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'} It's now surprisingly easy to watch most of a movie without ever trying to, or to spend hours with a podcast without ever playing an episode. In the burgeoning clip economy, everything is being cut into bite-sized pieces and being blasted around the internet hoping to land in your feeds. The Verge's Mia Sato explains the machinery of how all this works, and wonders what it means for our social media experience. After that, The Verge's Victoria Song joins to discuss the Fitbit Air, the new $99 Google fitness tracker she and David have both been testing. It's a fascinating, thoroughly AI-ified device, and it actually has some pretty good ideas. (And some bad ones!) Finally, Vee sticks around to help David answer a question from the Vergecast Hotline (call 866-VERGE11 or email vergecast@theverge.com !) about smart glasses, and whether helping you find your other gear might just be a killer app. Further reading: Inside the cutthroat community of ‘clippers’ Google’s taking a big swing at AI health with the Fitbit Air What’s the role of a simple fitness band in the AI health era? All these smart glasses and nothing to do Subscribe to The Verge for unlimited access to theverge.com , subscriber-exclusive newsletters, and our ad-free podcast feed .We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. (Timestamps are approximate.) 00:00:00 Brick Your Phone 00:03:00 Clips Go Industrial 00:06:00 How Clipping Platforms Work 00:08:00 Why It Looks Organic 00:11:00 Clavicular Case Study 00:13:00 Shady or Just Marketing 00:20:00 Platform Rules and Reality 00:26:00 Slop and the Future of Clips 00:36:00 Watch Band Color Debate 00:38:00 Why Fitbit Air Matters 00:40:00 Whoop Dupe Or Fitbit Roots 00:45:00 Google Health AI Coach 00:50:00 Limits And Lab Upload Friction 00:53:00 Privacy And Data Tradeoffs 00:56:00 AI Health Personalities Compared 01:04:00 Hotline Smart Glasses Tracking 01:09:00 Future Of All Day Glasses 01:13:00 Wrap Up Learn more about your ad choices. Visit podcastchoices.com/adchoices


FINANCE The Vergecast: Ben McKenzie vs. crypto -> Podcast: The Vergecast Episode: Ben McKenzie vs. crypto Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'}

During the height of the cryptocurrency craze a few years ago, the actor Ben McKenzie found himself wondering why no one else was seeing what he was seeing. He joins the show t

Podcast: The Vergecast Episode: Ben McKenzie vs. crypto Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'} During the height of the cryptocurrency craze a few years ago, the actor Ben McKenzie found himself wondering why no one else was seeing what he was seeing. He joins the show to explain his yearslong attempt to understand Bitcoin and the crypto world, all of which is in his new documentary Everyone Is Lying to You For Money. (You can probably guess how he feels.) After that, The Verge's Victoria Song tells us about her testing of continuous glucose monitors, which have gone from medical device to influencer trend in some worrying ways. Finally, we answer a question from the Vergecast Hotline (call 866-VERGE11 or email vergecast@theverge.com !) about why all our gadgets seem the same these days. Vote for The Vergecast in the Webby Awards! A vote for The Vergecast is a vote that Brendan Carr is a dummy, that buttons are good, and that party speakers rule the world. Voting is open until April 16. https://vote.webbyawards.com/PublicVoting#/2026/podcasts/shows/technology Further reading: Everyone is Lying to You for Money Low interest rates and loneliness: the origins of the pandemic crypto boom Continuous glucose monitoring made me continuously crazy Subscribe to The Verge for unlimited access to theverge.com , subscriber-exclusive newsletters, and our ad-free podcast feed .We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. (Timestamps are approximate.) 00:00:00 Sprinkler Duty Intro 00:03:00 Ben McKenzie Crypto Journey 00:04:00 Is Crypto Really Money 00:09:00 El Salvador Reality Check 00:11:00 Could Crypto Ever Work 00:14:00 Crypto Culture 00:19:00 Casino Capitalism And Crime 00:23:00 Why Bitcoin Keeps Rising 00:30:00 CGMs Explained 00:32:00 FDA OTC And Wellness Boom 00:33:00 Government Push For Wearables 00:39:00 Longevity Wearables Boom 00:41:00 Why Try CGMs 00:44:00 Scary Readings Doctor Visit 00:47:00 Living in the Data 00:48:00 Apps Scores Calibration 00:51:00 Disordered Eating Spiral 00:54:00 No Consensus for Non Diabetics 00:57:00 Medication Tradeoffs 01:00:00 Wellness vs Medical Regulation 01:04:00 Using CGMs Thoughtfully 01:10:00 Vergecast hotline 01:11:00 Why Gadgets Got Bland 01:22:00 Final Thoughts Learn more about your ad choices. Visit podcastchoices.com/adchoices


FINANCE The Vergecast: The 6G, modular, robot phones of the future -> Podcast: The Vergecast
Episode: The 6G, modular, robot phones of the future
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Most mainstream phone options are kind of the same, year in and year out — but that doesn’t mean there’s no innovation to be found. The Verge’s Allison John

Podcast: The Vergecast Episode: The 6G, modular, robot phones of the future Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'} Most mainstream phone options are kind of the same, year in and year out — but that doesn’t mean there’s no innovation to be found. The Verge’s Allison Johnson is at Mobile World Congress, and joins the show to report on all the modular phones, robot phones, small phones, big phones, and (alas) 6G phones set to hit the market this year. After that, The Verge’s Jess Weatherbed explains the phenomenon of the gadget strap, and makes the case that they’re an increasingly useful accessory as our phones become even more important to our daily lives. (Yes, even if you have pockets.) Finally, The Verge’s Jay Peters helps David answer a question from the Vergecast Hotline (call 866-VERGE11 or email vergecast@theverge.com !) about whether the metaverse, however you want to define it, is ever going to be realized. Further reading: Oh great, here comes 6G Honor claims its Robot Phone will launch later this year Lenovo made a Franken-laptop with modular ports and a second screen Vivo’s next phone will launch with a professional camera rig Tecno’s latest concept phone is lit by neon Honor’s Magic V6 is the first foldable with an IP69 rating The Motorola Razr Fold is shaping up to be pure flagship Xiaomi’s super-slim power bank costs extra in orange. Honor’s thinnest tablet doesn’t come cheap. Peak Design has wearable gadget straps for people who hate bags Apple’s misunderstood crossbody iPhone strap might be the best I’ve seen Meta confirms Reality Labs layoffs and shifts to invest more in wearables Meta’s VR metaverse is ditching VR Subscribe to The Verge for unlimited access to theverge.com , subscriber-exclusive newsletters, and our ad-free podcast feed .We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices


FINANCE The Vergecast: Everything is gambling now -> Podcast: The Vergecast
Episode: Everything is gambling now
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Who's going to win the Super Bowl? What about the latest season of Survivor? Or the race to be the next chair of the Federal Reserve? Who will be Portugal's next president?

Podcast: The Vergecast Episode: Everything is gambling now Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'} Who's going to win the Super Bowl? What about the latest season of Survivor? Or the race to be the next chair of the Federal Reserve? Who will be Portugal's next president? How many times will Elon Musk tweet in the next week? On Polymarket, and other prediction markets, you can bet on all these things and more. Are we entering a world in which everything is gambling and gambling is everything? Bloomberg's Joe Weisenthal joins the show to explain the rise of prediction markets, what's betting and what's investing, and more. Then, The Verge's Hayden Field teaches us about Model Context Protocol, a wonky bit of AI infrastructure that might be key to making AI agents work. MCP is barely a year old, and practically all of tech is ready to embrace it. Finally, Hayden helps David answer a question on the Vergecast Hotline (call 866-VERGE11 or email vergecast@theverge.com !) about why every AI company seems to want you to go shopping. Further reading: Are prediction markets gambling? Robinhood CEO Vlad Tenev is betting not Election night at Kalshi HQ Joe Weisenthal at Bloomberg From Bloomberg : My Biggest Question About Prediction Markets Anthropic launches tool to connect AI systems directly to datasets AI companies want a new internet — and they think they’ve found the key Subscribe to The Verge for unlimited access to theverge.com , subscriber-exclusive newsletters, and our ad-free podcast feed .We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices


FINANCE The Vergecast: 2025 year in review -> Podcast: The Vergecast
Episode: 2025 year in review
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Well, friends, it's been a year. And before we turn the page to 2026 and all the stories of 2025 begin to blur together, we decided to take stock of things. Nilay and David are joi

Podcast: The Vergecast Episode: 2025 year in review Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'} Well, friends, it's been a year. And before we turn the page to 2026 and all the stories of 2025 begin to blur together, we decided to take stock of things. Nilay and David are joined by Wall Street Journal senior tech columnist Joanna Stern to debate the best products of the year, the biggest policy moves, the people who broke bad, the good AI things, the bad AI things, and much more. It's been a vibe-everything kind of year, and there's a lot to discuss. Subscribe to The Verge for unlimited access to theverge.com , subscriber-exclusive newsletters, and our ad-free podcast feed .We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices


FINANCE The Vergecast: Online shopping is full of copycats -> Podcast: The Vergecast
Episode: Online shopping is full of copycats
Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'}

This week on The Vergecast, guest host Mia Sato talks to YouTube fitness pioneer Cassey Ho (better known as Blogilates) about the well-oiled machine that is the dup

Podcast: The Vergecast Episode: Online shopping is full of copycats Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'} This week on The Vergecast, guest host Mia Sato talks to YouTube fitness pioneer Cassey Ho (better known as Blogilates) about the well-oiled machine that is the dupe economy. Ho shares her experience creating her own line of athletic wear that sooner or later gets ripped off by countless copycats — and how she tries to fight back. Then, Mia brings an audio diary from a visit to Fabscrap, a textile recycling facility in Brooklyn, that is working to save fabric and other materials from the landfill. Fashion is a wasteful industry, not unlike tech — luckily, there are people like Fabscrap staff and volunteers who are working towards solutions. Finally, Victoria Song swings by to help answer a hotline question about how to make the high-tech Clueless closet a reality. If you have a question for us, call 866-VERGE11 or email vergecast@theverge.com . Further reading How dupes turned online shopping upside down Lululemon sues Costco over viral alleged “dupes” The US finally acknowledges textile waste in new report Your stuff is actually worse now Ghana becomes dumping ground for the world’s unwanted used clothes Learn more about your ad choices. Visit podcastchoices.com/adchoices


FINANCE The Vergecast: Switch 2, Steam Deck, and the next-gen console wars -> Podcast: The Vergecast
Episode: Switch 2, Steam Deck, and the next-gen console wars
Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'}

Handheld gaming looks like the future — so why isn't it more popular? The Verge's Sean Hollister joins the show to talk about some new data about th

Podcast: The Vergecast Episode: Switch 2, Steam Deck, and the next-gen console wars Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'} Handheld gaming looks like the future — so why isn't it more popular? The Verge's Sean Hollister joins the show to talk about some new data about the handheld console market, what it says about the Steam Deck's dominance, whether the Switch 2 might change everything all over again, and why Sony and Microsoft don't appear to be in the game at all. After that, David reports on his trip to Florida to see TGL, the golf league aiming to bring the sport to new places and new fans, with the help of a truly enormous amount of technology. Finally, we answer a question on the Vergecast Hotline about iPads — and more specifically, one particularly good reason to upgrade to the Air or the Pro. Further reading: Three years later, the Steam Deck has dominated handheld PC gaming shipments Steam Deck OLED review: better, not faster Lenovo Legion Go S review: feels good, plays bad Asus ROG Ally X review: the best Windows gaming handheld by a mile MSI Claw review: an embarrassment A night at TGL, the would-be future of golf From ESPN : Inside the making of Tiger Woods and Rory McIlroy's TGL From Wired : Robotic Putting Greens. Mixed Reality. Loud Spectators. This Is Golf?! Apple iPad Air 2025 review: what the M3 upgrade really gets you Email us at vergecast@theverge.com or call us at 866-VERGE11, we love hearing from you. Learn more about your ad choices. Visit podcastchoices.com/adchoices


FINANCE The Vergecast: How DeepSeek crashed the AI party -> Podcast: The Vergecast
Episode: How DeepSeek crashed the AI party
Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'}

Nilay and David dig into the week's biggest story: the new Intel-powered Surface Pro. Kidding! They talk about DeepSeek, the out-of-nowhere AI company that sent both

Podcast: The Vergecast Episode: How DeepSeek crashed the AI party Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'} Nilay and David dig into the week's biggest story: the new Intel-powered Surface Pro. Kidding! They talk about DeepSeek, the out-of-nowhere AI company that sent both Silicon Valley and the stock market into uproar this week. Then, after the hosts debate what the real killer app for AI is — and whether we've even found one yet — we follow up on our question from last week about how people are actually using AI. We got so many good answers, and we talk through what to make of them all. Finally, in the lightning round, we talk about Brendan Carr being a dummy, the return of the Pebble, the continued rise of Bluesky and Threads, and Meta's $25 million check to Trump. Further reading: Why everyone is freaking out about DeepSeek DeepSeek says its newest AI model, Janus-Pro can outperform Stable Diffusion and DALL-E 3. Microsoft makes DeepSeek’s R1 model available on Azure AI and GitHub OpenAI has evidence that its models helped train China’s DeepSeek China’s DeepSeek AI is hitting Nvidia where it hurts DeepSeek’s AI app is restricting sign-ups due to ‘malicious attacks’ US Navy jumps the DeepSeek ship. DeepSeek wakes up Trump. OpenAI CEO Sam Altman on DeepSeek R1: “an impressive model.” Mark Zuckerberg tells Meta investors to not worry about DeepSeek The Pebble smartwatch is making a comeback, with some help from Google Oracle and Microsoft are reportedly in talks to take over TikTok FCC chair says landlords can force bulk internet service on residents From NYT: F.C.C. Chair Orders Investigation Into NPR and PBS Sponsorships Meta agrees to pay $25 million to settle Trump account suspension suit Zuckerberg wants to Make Facebook Great Again Zuck wants to bring the “OG Facebook” back. Email us at vergecast@theverge.com or call us at 866-VERGE11, we love hearing from you. Learn more about your ad choices. Visit podcastchoices.com/adchoices


FINANCE NPR: Do prediction market bettors make anything better? -> Podcast: NPR
Episode: Do prediction market bettors make anything better?
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HISTOIRE NPR: Venezuela’s recent economic history (Update) -> Podcast: NPR
Episode: Venezuela’s recent economic history (Update)
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FINANCE BBC Global News: Jeffrey Epstein, Howard Lutnick, and the disgraced former prince -> Podcast: BBC Global News
Episode: Jeffrey Epstein, Howard Lutnick, and the disgraced former prince
Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'}

In an exclusive investigation, a whistleblower has told the BBC how he unearthed evidence suggesting that US Commerce Secretary Howar

Podcast: BBC Global News Episode: Jeffrey Epstein, Howard Lutnick, and the disgraced former prince Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'} In an exclusive investigation, a whistleblower has told the BBC how he unearthed evidence suggesting that US Commerce Secretary Howard Lutnick failed to disclose a business relationship with the paedophile financier, Jeffrey Epstein. Simon Andriesz was a trader at one of Lutnick’s Wall Street firms, but it wasn’t until the Epstein files were released earlier this year that he says he confirmed a longstanding suspicion that his boss was misrepresenting his relationship with Epstein. BBC financial investigations correspondent Andy Verity joins us to unpack the new investigation. For more episodes, just search 'The Global Story' wherever you get your BBC Podcasts.


FINANCE BBC Global News: Trump scraps threat of 20% fee on Hormuz cargo -> Podcast: BBC Global News
Episode: Trump scraps threat of 20% fee on Hormuz cargo
Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'}

Donald Trump says he's no longer planning to charge ships for using the Strait of Hormuz, as the US battles to break Iran's hold on the waterway. Trump

Podcast: BBC Global News Episode: Trump scraps threat of 20% fee on Hormuz cargo Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'} Donald Trump says he's no longer planning to charge ships for using the Strait of Hormuz, as the US battles to break Iran's hold on the waterway. Trump said the toll would be replaced by "massive" trade and investment deals with Gulf states. Also: US banks are making huge profits despite rising inflation. US Immigration and Customs Enforcement (ICE) agents have been told to halt most vehicle stops nationwide immediately, following a pair of fatal shootings in Texas and Maine involving ICE agents. Another record-breaking heatwave has hit parts of Canada and the US, bringing extreme temperatures and poor air quality. At the FIFA World Cup, Spain have beaten France to secure a place in the final. A 67-million-year-old Tyrannosaurus Rex has become the most expensive dinosaur fossil ever. The Global News Podcast brings you the breaking news you need to hear, as it happens. Listen for the latest headlines and current affairs from around the world. Politics, economics, climate, business, technology, health – we cover it all with expert analysis and insight. Get the news that matters, delivered twice a day on weekdays and daily at weekends, plus special bonus episodes reacting to urgent breaking stories. Follow or subscribe now and never miss a moment. Get in touch: globalpodcast@bbc.co.uk Photo: A ship using the Strait of Hormuz Credit: Reuters


FINANCE BBC Global News: UK defence secretary resigns over military spending -> Podcast: BBC Global News
Episode: UK defence secretary resigns over military spending
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Britain's defence secretary, John Healey, has resigned, accusing Prime Minister Keir Starmer of failing to commit the resources needed to protect

Podcast: BBC Global News Episode: UK defence secretary resigns over military spending Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'} Britain's defence secretary, John Healey, has resigned, accusing Prime Minister Keir Starmer of failing to commit the resources needed to protect the nation from rising threats. Mr Healey said a long-delayed investment plan fell well short of what was required to bring defence spending to 3% of GDP by 2030 - a NATO target. He highlighted Mr Starmer's recent warning that Russia could attack the alliance as soon as that year. Also: Iran says its ceasefire with the US is now practically meaningless after a second night of airstrikes. Pope Leo is visiting the Canary Islands and meeting migrants who survived the Atlantic crossing to reach Spanish territory. With the World Cup about to kick off in Mexico City, we get a look behind the scenes at the Azteca Stadium. Australia begins a huge inquiry into unsolved murders and disappearances. New research reveals that people have a natural tendency to veer to the left when walking. And we hear about one woman’s mission to spot every butterfly species in Denmark - and what she discovered along the way. The Global News Podcast brings you the breaking news you need to hear, as it happens. Listen for the latest headlines and current affairs from around the world. Politics, economics, climate, business, technology, health – we cover it all with expert analysis and insight. Get the news that matters, delivered twice a day on weekdays and daily at weekends, plus special bonus episodes reacting to urgent breaking stories. Follow or subscribe now and never miss a moment. Get in touch: globalpodcast@bbc.co.uk Photo: John Healey, who has resigned as Britain's defence secretary, delivering a speech at an event in May Credit: PA


FINANCE BBC Global News: Trump hails 'fantastic' new trade deals with China -> Podcast: BBC Global News
Episode: Trump hails 'fantastic' new trade deals with China
Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'}

Donald Trump has left China after talks with Xi Jinping that the US president says have settled "a lot of different problems". President Xi called

Podcast: BBC Global News Episode: Trump hails 'fantastic' new trade deals with China Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'} Donald Trump has left China after talks with Xi Jinping that the US president says have settled "a lot of different problems". President Xi called it a "landmark" visit, but gave no details of any new agreements. On Iran, President Trump said the Chinese president would pressure Tehran to re-open the Strait of Hormuz. Mr Trump also said he didn't think there was a risk of conflict between China and the US over Taiwan. Also: American media reports say the US is preparing to indict the former Cuban president, 94-year-old Raul Castro. There's been a large prisoner swap between Ukraine and Russia as the two sides ramp up their aerial attacks. The BBC has traced dozens of social media accounts - which post AI-generated anti-immigration content about the UK - to countries such as Sri Lanka and Vietnam. And the singer-songwriter with Parkinson's disease using AI to help him make music again. The Global News Podcast brings you the breaking news you need to hear, as it happens. Listen for the latest headlines and current affairs from around the world. Politics, economics, climate, business, technology, health – we cover it all with expert analysis and insight. Get the news that matters, delivered twice a day on weekdays and daily at weekends, plus special bonus episodes reacting to urgent breaking stories. Follow or subscribe now and never miss a moment. Get in touch: globalpodcast@bbc.co.uk


FINANCE BBC Global News: Trump heads to China for crucial talks with Xi Jinping -> Podcast: BBC Global News
Episode: Trump heads to China for crucial talks with Xi Jinping
Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'}

President Trump is travelling to Beijing, on the first trip to China by a US leader since he last went there in 2017. The main focus of his hig

Podcast: BBC Global News Episode: Trump heads to China for crucial talks with Xi Jinping Duration: {'itunes': 'http://www.itunes.com/dtds/podcast-1.0.dtd'} President Trump is travelling to Beijing, on the first trip to China by a US leader since he last went there in 2017. The main focus of his highly significant talks with Xi Jinping will be the tense trade relationship between the two superpowers. President Trump said he would also have a "long chat" with President Xi about Iran. Also: we have the latest from the court battle between two of the biggest names in tech - Elon Musk and Sam Altman. How just one infusion of immune cells could suppress HIV for years. The viral video of a mafia-linked illegal horse race in Sicily - escorted by armed scooter riders - that's led police to seize the animals and launch an investigation. And Israel makes it through to the final of the Eurovision Song Contest, as five countries boycott the event over the war in Gaza. The Global News Podcast brings you the breaking news you need to hear, as it happens. Listen for the latest headlines and current affairs from around the world. Politics, economics, climate, business, technology, health – we cover it all with expert analysis and insight. Get the news that matters, delivered twice a day on weekdays and daily at weekends, plus special bonus episodes reacting to urgent breaking stories. Follow or subscribe now and never miss a moment. Get in touch: globalpodcast@bbc.co.uk FILE PHOTO: U.S. President Donald Trump shakes hands with Chinese President Xi Jinping as they hold a bilateral meeting at Gimhae International Airport, on the sidelines of the Asia-Pacific Economic Cooperation (APEC) summit, in Busan, South Korea, October 30, 2025. REUTERS/Evelyn Hockstein/File Photo


FINANCE QuantConnect/Lean - Lean Algorithmic Trading Engine by QuantConnect (Python, C#) -> Repository: QuantConnect/Lean
Language: C#
Stars: 20839
Topics: algorithm,algorithmic-trading-engine,c-sharp,finance,forex,lean-engine,options,python,quantconnect,stock-indicators,trading,trading-algorithms,trading-bot,trading-platform,trading-strategies
Description: Lean Algorithmic Trading Engine ...

Prompt:
Expert FINANCE. Réponds:

Repository: QuantConnect/Lean
Language: C#
Stars: 20839
Topics: algorithm,algorithmic-trading-engine,c-sharp,finance,forex,lean-engine,options,python,quantconnect,stock-indicators,trading,trading-algorithms,trading-bot,trading-platform,trading-strategies
Description: Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

README:


FINANCE StockSharp/StockSharp - Algorithmic trading and quantitative trading open source platform to develop trading robots (stock m -> Repository: StockSharp/StockSharp
Language: C#
Stars: 10420
Topics: algorithmic-trading,algorithmic-trading-engine,backtesting,bitcoins,broker,brokers,c-sharp,crypto,cryptocurrency,finance,fixprotocol,forex,hft-trading,interactive-brokers,quantitative-finance,stocks,trading,trading-platform,trading-...

Repository: StockSharp/StockSharp Language: C# Stars: 10420 Topics: algorithmic-trading,algorithmic-trading-engine,backtesting,bitcoins,broker,brokers,c-sharp,crypto,cryptocurrency,finance,fixprotocol,forex,hft-trading,interactive-brokers,quantitative-finance,stocks,trading,trading-platform,trading-robots,trading-strategies Description: Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options). README:  # [StockSharp - trading platform][1] ## **English** | [ ](README.ru.md) | [ ](README.zh.md) ##  Docs  Download  Chat  YouTube ## Introduction ## **StockSharp** (**S#** for short) is a **free** platform for trading on any market in the world (crypto exchanges, American, European, Asian, Russian, stocks, futures, options, Bitcoins, forex, etc.). You will be able to trade manually or automatically (algorithmic trading robots, conventional or HFT). **Available connections**: Binance, MT4, MT5, FIX/FAST, PolygonIO, Trading Technologies, Alpaca Markets, BarChart, CQG, E*Trade, IQFeed, InteractiveBrokers, LMAX, MatLab, Oanda, FXCM, Rithmic, cTrader, DXtrade, BitStamp, Bitfinex, Coinbase, Kraken, Poloniex, GDAX, Bittrex, Bithumb, OKX, Coincheck, CEX.IO, BitMEX, YoBit, Livecoin, EXMO, Deribit, HTX, KuCoin, QuantFEED, Aster, edgeX, Ligther, Paradex, Hyperliquid and many others. Connector source code and the full connector list are available in the [StockSharp Connectors repository](https://github.com/StockSharp/Connectors). ## [Designer][8]  **Designer** - a **free** universal algorithmic strategy application for easy strategy creation: - Visual designer to create strategies by mouse clicking - Embedded C# editor - Easy to create own indicators - Built-in debugger - Connections to the multiple electronic boards and brokers - All world platforms - Schema sharing with own team ## [Hydra][9]  **Hydra** - **free** software to automatically load and store market data: - Supports many sources - High compression ratio - Any data type - Program access to stored data via API - Export to csv, excel, xml or database - Import from csv - Scheduled tasks - Auto-sync over the Internet between several Hydra instances ## [Terminal][10]  **Terminal** - a **free** trading charting application (trading terminal): - Connections to the multiple electronic boards and brokers - Trading from charts by clicking - Arbitrary timeframes - Volume, Tick, Range, P&F, Renko candles - Cluster charts - Box charts - Volume Profile ## [Shell][11]  **Shell** - the ready-made graphical framework with the ability to quickly adapt to your needs and with fully open source code in C#: - Complete source code - Support for all StockSharp platform connections - Support for Designer schemas - Flexible user interface - Strategy testing (statistics, equity, reports) - Save and load strategy settings - Launch strategies in parallel - Detailed information

Prompt:
Expert FINANCE. Réponds:

Repository: StockSharp/StockSharp
Language: C#
Stars: 10420
Topics: algorithmic-trading,algorithmic-trading-engine,backtesting,bitcoins,broker,brokers,c-sharp,crypto,cryptocurrency,finance,fixprotocol,forex,hft-trading,interactive-brokers,quantitative-finance,stocks,trading,trading-platform,trading-robots,trading-strategies
Description: Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).

README:

# [StockSharp - trading platform][1]

## **English** | [ ](README.ru.md) | [ ](README.zh.md)

##  Docs  Download  Chat  YouTube

## Introduction ##

**StockSharp** (**S#** for short)   is a **free** platform for trading on any market in the world (crypto exchanges, American, European, Asian, Russian, stocks, futures, options, Bitcoins, forex, etc.). You will be able to trade manually or automatically (algorithmic trading robots, conventional or HFT).

**Available connections**: Binance, MT4, MT5, FIX/FAST, PolygonIO, Trading Technologies, Alpaca Markets, BarChart, CQG, E*Trade, IQFeed, InteractiveBrokers, LMAX, MatLab, Oanda, FXCM, Rithmic, cTrader, DXtrade, BitStamp, Bitfinex, Coinbase, Kraken, Polonie


FINANCE wangzhe3224/awesome-systematic-trading - A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, -> Repository: wangzhe3224/awesome-systematic-trading
Language: HTML
Stars: 4529
Topics: algorithmic-trading,alpha,awesome-list,backtesting,bitcoin,cryptocurrencies,cryptocurrency,finance,finances,golang,python,quant,quantitative-trading,rust,systematic-trading,systematic-trading-strategies,trading,tra...

Prompt:
Expert FINANCE. Réponds:

Repository: wangzhe3224/awesome-systematic-trading
Language: HTML
Stars: 4529
Topics: algorithmic-trading,alpha,awesome-list,backtesting,bitcoin,cryptocurrencies,cryptocurrency,finance,finances,golang,python,quant,quantitative-trading,rust,systematic-trading,systematic-trading-strategies,trading,trading-algorithms,trading-bot,trading-strategies
Description: A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资

README:


FINANCE The-Swarm-Corporation/AutoHedge - Build your autonomous hedge fund in minutes. AutoHedge harnesses the power of swarm intelligence and -> Repository: The-Swarm-Corporation/AutoHedge
Language: Python
Stars: 4022
Topics: ai,blackrock,finance,goldmansachs,hedgefund,jpmorgan,ml,quant,quantitative-finance,quantitative-trading,trading
Description: Build your autonomous hedge fund in minutes. AutoHedge harnesses the power of swarm intelligen...

Repository: The-Swarm-Corporation/AutoHedge Language: Python Stars: 4022 Topics: ai,blackrock,finance,goldmansachs,hedgefund,jpmorgan,ml,quant,quantitative-finance,quantitative-trading,trading Description: Build your autonomous hedge fund in minutes. AutoHedge harnesses the power of swarm intelligence and AI agents to automate market analysis, risk management, and trade execution. README: # AutoHedge [![Join our Discord](https://img.shields.io/badge/Discord-Join%20our%20server-5865F2?style=for-the-badge&logo=discord&logoColor=white)](https://discord.gg/VapjxpSyHC3) [![Subscribe on YouTube](https://img.shields.io/badge/YouTube-Subscribe-red?style=for-the-badge&logo=youtube&logoColor=white)](https://www.youtube.com/@kyegomez3242) [![Connect on LinkedIn](https://img.shields.io/badge/LinkedIn-Connect-blue?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/kye-g-38759a207/) [![Follow on X.com](https://img.shields.io/badge/X.com-Follow-1DA1F2?style=for-the-badge&logo=x&logoColor=white)](https://x.com/swarms_corp) AutoHedge is an enterprise-grade autonomous agent hedge fund that trades on your behalf. It combines swarm intelligence and specialized AI agents to perform end-to-end market analysis, risk management, and execution with minimal human intervention. **Current support:** Full autonomous trading on Solana. **Coming soon:** Coinbase and additional exchanges. --- ## Overview AutoHedge is built to be the world's most powerful autonomous agent hedge fund. It runs continuous analysis, generates and validates trading theses, sizes risk, and executes orders across supported venues. The system is designed for institutional reliability: structured outputs, comprehensive logging, and a risk-first architecture that scales from single strategies to multi-venue, multi-asset deployment. --- ## Features - **Multi-Agent Architecture**: Specialized agents for each stage of the trading pipeline - Director Agent: strategy and thesis generation - Quant Agent: technical and statistical analysis - Risk Management Agent: position sizing and risk assessment - Execution Agent: order generation and execution - **Real-Time Market Analysis**: Integration with live market data for analysis and execution - **Risk-First Design**: Built-in risk management and position sizing before any execution - **Structured Output**: JSON-formatted recommendations and analysis for downstream systems - **Enterprise Logging**: Detailed, configurable logging for audit and debugging - **Extensible Framework**: Modular design for custom strategies and new venues --- ## Supported Venues | Venue | Status | Notes | |-----------|----------------|--------------------------| | Solana | Supported | Full autonomous trading | | Coinbase | Coming soon | In development | | Other CEX | Roadmap | Planned expansion | --- ## Quick Start ### Installation ```bash pip install -U autohedge ``` ### Environment Variables ```bash # Jupiter API (token price & search tools) # Get a key at https://portal.jup.ag JUPITER_API_KEY= # OpenAI (experimental agents) OPENAI_API_KEY= ANTHROPIC_API_KEY= WORKSPACE_DIR="agent_workspace" # Trading WALLET_PRIVATE_KEY="" ``` See `.env.example` for a full reference. ### Basic Usage ```python autohedge ``` --- ## Architecture AutoHedge uses a multi-agent pipeline where each agent has a defined responsibility: ```mermaid graph TD A[Director Agent] --> B[Quant Agent] B --> C[Risk Manager] C --> D[Execution Agent] D --> E[Trade Output] ``` --- ## Contributing Contributions are welcome. See [Contributing Guidelines](CONTRIBUTING.md) for details. 1. Fork the repository 2. Create a feature branch (`git checkout -b feature/AmazingFeature`) 3. Commit changes (`git commit -m 'Add some AmazingFeature'`) 4. Push to the branch (`git push origin feature/AmazingFeature`) 5. Open a Pull Request --- ## License MIT License. See [

Prompt:
Expert FINANCE. Réponds:

Repository: The-Swarm-Corporation/AutoHedge
Language: Python
Stars: 4022
Topics: ai,blackrock,finance,goldmansachs,hedgefund,jpmorgan,ml,quant,quantitative-finance,quantitative-trading,trading
Description: Build your autonomous hedge fund in minutes. AutoHedge harnesses the power of swarm intelligence and AI agents to automate market analysis, risk management, and trade execution.

README:
# AutoHedge

[![Join our Discord](https://img.shields.io/badge/Discord-Join%20our%20server-5865F2?style=for-the-badge&logo=discord&logoColor=white)](https://discord.gg/VapjxpSyHC3) [![Subscribe on YouTube](https://img.shields.io/badge/YouTube-Subscribe-red?style=for-the-badge&logo=youtube&logoColor=white)](https://www.youtube.com/@kyegomez3242) [![Connect on LinkedIn](https://img.shields.io/badge/LinkedIn-Connect-blue?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/kye-g-38759a207/) [![Follow on X.com](https://img.shields.io/badge/X.com-Follow-1DA1F2?style=for-the-badge&logo=x&logoColor=white)](https://x.com/swarms_corp)

AutoHedge is an enterprise-grade autonomous agent hedge fund that trades on your behalf. It combines swarm intelligence and specialized AI agents to perform end-to-end market analysis, risk management, and execution with minimal human intervention.

**Current support:** Full autonomous trading on Solana. **Coming soon:** Coinbase and additional exchanges.

---

## Overview

AutoHedge is built to be the world's most powerful autonomous agent hedge fund. It runs continuous analysis, generates and validates trading theses, sizes risk, and executes orders across supported venues. The system is designed for institutional reliability: structured outputs, comprehensive logging, and a risk-first architecture that scales from single strategies to multi-venue, multi-asset deployment.

---

## Features

- **Multi-Agent Architecture**: Specialized agents for each stage of the trading pipeline
  - Director Agent: strategy and thesis generation


FINANCE austin-starks/NextTrade - A system that performs algorithmic trading -> Repository: austin-starks/NextTrade
Language: TypeScript
Stars: 1776
Topics: automated-trading,finance,frontend,investing,software,stock-market,trading,trading-algorithms,trading-strategies,tradingbot,ui
Description: A system that performs algorithmic trading

README:
# NextTrade - Plan your next tr...

Repository: austin-starks/NextTrade Language: TypeScript Stars: 1776 Topics: automated-trading,finance,frontend,investing,software,stock-market,trading,trading-algorithms,trading-strategies,tradingbot,ui Description: A system that performs algorithmic trading README: # NextTrade - Plan your next trade A system to create, test, optimize, and deploy algorithmic trading strategies. For a better, faster, cloud-based platform, [check out NexusTrade](https://nexustrade.io/). If you want to learn about algorithmic trading and financial research from a community of data-driven investors, [join our free Discord channel!](https://nexustrade.io/discord) NexusTrade is a AI-Powered platform that streamlines the configuration of trading strategies. It's faster, more configurable, and more feature-rich than NextTrade. It features a powerful AI Chat Assistant tool as an entry point to many of its features. Some improvements include: - Enhanced configurability: Can essentially express any trading idea you can imagine - AI-Powered Research Tools: Perform in-depth company analysis and compare companies between each other - Powerful stock screener: Use natural language to find stocks in over 130 industries and 30+ indicators * [Read More about NextTrade](https://medium.com/@austin-starks/i-created-an-open-source-automated-trading-platform-f9d94575ceba) * [Comparing NextTrade to NexusTrade Part 1](https://medium.com/p/317b6e068254) * [Comparing NextTrade to NexusTrade Part 2](https://medium.com/p/cfa9bab0ee85) ## NextTrade Features 1. Combine conditions to form compound conditions. Combine compound conditions and create trading strategies. - ![Compound Condition returns true if all conditions are true](https://miro.medium.com/v2/resize:fit:1400/format:webp/1*sI_cc4c6bSYrXwPK5l81PA.jpeg) - For example: - Condition A: QQQ stock is 1 SD below its 5-day mean price - Condition B: Buying power is above $8,000. - Condition C: Condition A and condition B - Strategy: If condition C, buy $3000 of SPY 2. Create unlimited portfolios with different combinations of strategies - ![Create unlimited portfolios](https://miro.medium.com/v2/resize:fit:1400/format:webp/1*6P6LA2dWeNEt-arU_y0E6A.png) 4. Backtest those strategies using historical data. - ![Backtest your portfolio](https://miro.medium.com/v2/resize:fit:1400/format:webp/1*1tO6BOwr2dKiKdMdvDnM2g.jpeg) - Only stocks are currently supported, but cryptocurrency and options support is baked into the architecture 6. Optimize the strategy's parameters using a genetic algorithm - ![Optimize your strategy with Genetic Algorithms](https://miro.medium.com/v2/resize:fit:1400/format:webp/1*GOnxADcrSF_VIJylmemnaA.png) - Choose hyperparameters like mutation rate, training period, validation period, and population size - Choose to optimize percent gain, sortino ratio, sharpe ratio, or max drawdown 8. Deploy the strategies live and see how it performs in real-time - ![Deploy your strategies live with the click of a button](https://miro.medium.com/v2/resize:fit:1400/format:webp/1*-MmD0EBTkAsYiED9hwDprA.png) ## System Architecture and Design Some architectural artifacts can be found at this link: https://drive.google.com/drive/folders/1TgZNGPd7TBWi47dWh0TI2nZ_9WUhv_P_?usp=sharing ## Local Installation ### Prerequisites 1. Mac, Linux or WSL2 preferred - [How to set up Linux on Windows with WSL 2](https://s1gr1d.medium.com/how-to-set-up-linux-on-windows-with-wsl-2-debe2a64d20d) 2. Tradier Account (with at least a free sandbox token; additional brokers TBD) - [Production vs Sandbox data details](https://documentation.tradier.com/brokerage-api/overview/market-data) - [Sandbox Account and Signup info](https://documentation.tradier.com/brokerage-api/overview/endpoints) ### Mac Setup 1. Clone the repository. 2. Install [MongoDB community edition](https://docs.mongodb.com/manual/administration/install-community/) and enable it. 3. Install the dependencies: `

Prompt:
Expert FINANCE. Réponds:

Repository: austin-starks/NextTrade
Language: TypeScript
Stars: 1776
Topics: automated-trading,finance,frontend,investing,software,stock-market,trading,trading-algorithms,trading-strategies,tradingbot,ui
Description: A system that performs algorithmic trading

README:
# NextTrade - Plan your next trade

A system to create, test, optimize, and deploy algorithmic trading strategies.

For a better, faster, cloud-based platform, [check out NexusTrade](https://nexustrade.io/). If you want to learn about algorithmic trading and financial research from a community of data-driven investors, [join our free Discord channel!](https://nexustrade.io/discord)

NexusTrade is a AI-Powered platform that streamlines the configuration of trading strategies. It's faster, more configurable, and more feature-rich than NextTrade. It features a powerful AI Chat Assistant tool as an entry point to many of its features.

Some improvements include:
 - Enhanced configurability: Can essentially express any trading idea you can imagine
 - AI-Powered Research Tools: Perform in-depth company analysis and compare companies between each other
 - Powerful stock screener: Use natural language to find stocks in over 130 industries and 30+ indicators

* [Read More about NextTrade](https://medium.com/@austin-starks/i-created-an-open-source-automated-trading-platform-f9d94575ceba)
* [Comparing NextTrade to NexusTrade Part 1](https://medium.com/p/317b6e068254)
* [Comparing NextTrade to NexusTrade Part 2](https://medium.com/p/cfa9bab0ee85)

## NextTrade Features

1. Combine conditions to form compound conditions. Combine compound conditions and create trading strategies.
   - ![Compound Condition   returns true if all conditions are true](https://miro.medium.com/v2/resize:fit:1400/format:webp/1*sI_cc4c6bSYrXwPK5l81PA.jpeg)
   - For example:
     - Condition A: QQQ stock is 1 SD below its 5-day mean price
     - Condition B: Buying power is above $8,000.
     - Condition C: Condition A and condition B
     -


FINANCE longbridge/longbridge-terminal - AI-native CLI for the Longbridge trading platform with real-time market data, portfolio, and trading -> Repository: longbridge/longbridge-terminal
Language: Rust
Stars: 951
Topics: ai-native,cli,finance,financial-analysis,ratatui,tui
Description: AI-native CLI for the Longbridge trading platform with real-time market data, portfolio, and trading...

README:
# Longbridge Terminal

<p align="center">
  ...

Repository: longbridge/longbridge-terminal Language: Rust Stars: 951 Topics: ai-native,cli,finance,financial-analysis,ratatui,tui Description: AI-native CLI for the Longbridge trading platform with real-time market data, portfolio, and trading... README: # Longbridge Terminal  English |    AI-native CLI for the [Longbridge](https://longbridge.com) trading platform real-time market data, portfolio, and trading. Also ships a full-screen TUI for interactive monitoring. Covers every Longbridge OpenAPI endpoint: real-time quotes, depth, K-lines, options, and warrants for market data; account balances, stock and fund positions for portfolio management; and order submission, modification, cancellation, and execution history for trading. Designed for scripting, AI-agent tool-calling, and daily trading workflows from the terminal. ```bash $ longbridge static TSLA.US NVDA.US | Symbol | Last | Prev Close | Open | High | Low | Volume | Turnover | Status | |---------|---------|------------|---------|---------|---------|-----------|-----------------|--------| | TSLA.US | 395.560 | 391.200 | 396.220 | 403.730 | 394.420 | 58068343 | 23138752546.000 | Normal | | NVDA.US | 183.220 | 180.250 | 182.970 | 188.880 | 181.410 | 217307380 | 40023702698.000 | Normal | $ longbridge quote TSLA.US NVDA.US --format json [ { "high": "403.730", "last": "395.560", "low": "394.420", "open": "396.220", "prev_close": "391.200", "status": "Normal", "symbol": "TSLA.US", "turnover": "23138752546.000", "volume": "58068343" }, { "high": "188.880", "last": "183.220", "low": "181.410", "open": "182.970", "prev_close": "180.250", "status": "Normal", "symbol": "NVDA.US", "turnover": "40023702698.000", "volume": "217307380" } ] ``` [![asciicast](https://asciinema.org/a/785102.svg)](https://asciinema.org/a/785102) ## Installation **Homebrew (macOS / Linux)** ```bash brew install --cask longbridge/tap/longbridge-terminal ``` **Windows** ([Scoop](https://scoop.sh)) ```powershell scoop install https://github.com/longbridge/longbridge-terminal/raw/refs/heads/main/.scoop/longbridge.json ``` **Windows** (PowerShell) ```powershell iwr https://github.com/longbridge/longbridge-terminal/raw/main/install.ps1 | iex ``` **Install script (macOS / Linux)** ```bash curl -sSL https://github.com/longbridge/longbridge-terminal/raw/main/install | sh ``` Installs the `longbridge` binary to `/usr/local/bin` (macOS/Linux) or `%LOCALAPPDATA%\Programs\longbridge` (Windows). ## Authentication Uses **OAuth 2.0** via the Longbridge SDK no manual token management required. ```bash longbridge auth login # Opens browser for OAuth and saves token (managed by SDK) longbridge auth logout # Clear saved token longbridge check # Verify token, region, and API endpoint connectivity ``` Token is shared between CLI and TUI. After `login`, all commands work without re-authenticating. The CLI auto-detects China Mainland on each startup by probing `geotest.lbkrs.com` in the background and caches the result. If detected, CN API endpoints are used automatically on the next run. ## Shell Completion Enable tab-completion for `longbridge` commands and flags in your shell: **Bash** add to `~/.bashrc` or `~/.bash_profile`: ```bash source ` will suggest subcommands, flags, and values. ## CLI Usage ``` longbridge  [options] ``` All commands support `--format json` for machine-readable output. Commands that accept `--count` also accept `--limit` as an alias (for AI agent compatibility): ```bash longbridge quote TSLA.US --format json longbridg

Prompt:
Expert FINANCE. Réponds:

Repository: longbridge/longbridge-terminal
Language: Rust
Stars: 951
Topics: ai-native,cli,finance,financial-analysis,ratatui,tui
Description: AI-native CLI for the Longbridge trading platform with real-time market data, portfolio, and trading...

README:
# Longbridge Terminal

  English |

AI-native CLI for the [Longbridge](https://longbridge.com) trading platform   real-time market data, portfolio, and trading. Also ships a full-screen TUI for interactive monitoring.

Covers every Longbridge OpenAPI endpoint: real-time quotes, depth, K-lines, options, and warrants for market data; account balances, stock and fund positions for portfolio management; and order submission, modification, cancellation, and execution history for trading. Designed for scripting, AI-agent tool-calling, and daily trading workflows from the terminal.

```bash
$ longbridge static TSLA.US NVDA.US
| Symbol  | Last    | Prev Close | Open    | High    | Low     | Volume    | Turnover        | Status |
|---------|---------|------------|---------|---------|---------|-----------|-----------------|--------|
| TSLA.US | 395.560 | 391.200    | 396.220 | 403.730 | 394.420 | 58068343  | 23138752546.000 | Normal |
| NVDA.US | 183.220 | 180.250    | 182.970 | 188.880 | 181.410 | 217307380 | 40023702698.000 | Normal |

$ longbridge quote TSLA.US NVDA.US --format json
[
  {
    "high": "403.730",
    "last": "395.560",
    "low": "394.420",
    "open": "396.220",
    "prev_close": "391.200",
    "status": "Normal",
    "symbol": "TSLA.US",
    "turnover": "23138752546.000",
    "volume": "58068343"
  },
  {
    "high": "188.880",
    "last": "183.220",
    "low": "181.410",
    "open": "182.970",
    "prev_close": "180.250",
    "status": "Normal",
    "symbol": "NVDA.US",
    "turnover": "40023702698.000",
    "volume": "217307380"
  }
]
```

[![asciicast](https://asciinema.org/a/785102.svg)](https://asciinema.org/a/785102)

## Inst


FINANCE constverum/Quantdom - Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbe -> Repository: constverum/Quantdom
Language: Python
Stars: 772
Topics: algorithmic-trading,algotrading,backtesting,finance,financial-analysis,fintech,investment,quant,quantitative-finance,stock-market,trading,trading-platform,trading-strategies
Description: Python-based framework for backtesting tradin...

Prompt:
Expert FINANCE. Réponds:

Repository: constverum/Quantdom
Language: Python
Stars: 772
Topics: algorithmic-trading,algotrading,backtesting,finance,financial-analysis,fintech,investment,quant,quantitative-finance,stock-market,trading,trading-platform,trading-strategies
Description: Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:]

README:


FINANCE Code: astral-sh/ruff/.config/nextest.toml -> File: astral-sh/ruff/.config/nextest.toml

# Define serial test group for running tests sequentially.
[test-groups]
serial = { max-threads = 1 }

# Run ty file watching tests sequentially to avoid race conditions.
[[profile.default.overrides]]
filter = 'binary(file_watching)'
test-group = 'serial'

Instruction: Réponds à la question suivante sur FINANCE. Output: response.

File: astral-sh/ruff/.config/nextest.toml # Define serial test group for running tests sequentially. [test-groups] serial = { max-threads = 1 } # Run ty file watching tests sequentially to avoid race conditions. [[profile.default.overrides]] filter = 'binary(file_watching)' test-group = 'serial' [profile.ci] # Print out output for failing tests as soon as they fail, and also at the end # of the run (for easy scrollability). failure-output = "immediate-final" # Do not cancel the test run on the first failure. fail-fast = false status-level = "skip" # Mark tests that take longer than 1s as slow. # Terminate after 60s as a stop-gap measure to terminate on deadlock. slow-timeout = { period = "1s", terminate-after = 60 } # Show slow jobs in the final summary final-status-level = "slow"

Prompt:
File: astral-sh/ruff/.config/nextest.toml

# Define serial test group for running tests sequentially.
[test-groups]
serial = { max-threads = 1 }

# Run ty file watching tests sequentially to avoid race conditions.
[[profile.default.overrides]]
filter = 'binary(file_watching)'
test-group = 'serial'

[profile.ci]
# Print out output for failing tests as soon as they fail, and also at the end
# of the run (for easy scrollability).
failure-output = "immediate-final"
# Do not cancel the test run on the first failure.
fail-fast = false

status-level = "skip"

# Mark tests that take longer than 1s as slow.
# Terminate after 60s as a stop-gap measure to terminate on deadlock.
slow-timeout =  { period = "1s", terminate-after = 60 }

# Show slow jobs in the final summary
final-status-level = "slow"


FINANCE Code: getsentry/sentry-python/.agents/skills/security-review/SKILL.md -> ONLY if URL is from user input redirect(request.GET['next']) # FLAG: User-controlled redirect redirect(settings.LOGIN_URL) # SAFE: Server-controlled config # Weak crypto - ONLY if used for security purposes hashlib.md5(file_content) # SAFE: File checksums, caching hashlib.md5(password) # FLAG: Passw

Instruction: Réponds à la question suivante sur FINANCE. Output: response.

ONLY if URL is from user input redirect(request.GET['next']) # FLAG: User-controlled redirect redirect(settings.LOGIN_URL) # SAFE: Server-controlled config # Weak crypto - ONLY if used for security purposes hashlib.md5(file_content) # SAFE: File checksums, caching hashlib.md5(password) # FLAG: Password hashing random.random() # SAFE: Non-security uses (UI, sampling) random.random() for token # FLAG: Security tokens need secrets module ``` --- ## Output Format ```markdown ## Security Review: [File/Component Name] ### Summary - **Findings**: X (Y Critical, Z High, ...) - **Risk Level**: Critical/High/Medium/Low - **Confidence**: High/Mixed ### Findings #### [VULN-001] [Vulnerability Type] (Severity) - **Location**: `file.py:123` - **Confidence**: High - **Issue**: [What the vulnerability is] - **Impact**: [What an attacker could do] - **Evidence**: ```python [Vulnerable code snippet] ``` - **Fix**: [How to remediate] ### Needs Verification #### [VERIFY-001] [Potential Issue] - **Location**: `file.py:456` - **Question**: [What needs to be verified] ``` If no vulnerabilities found, state: "No high-confidence vulnerabilities identified." --- ## Reference Files ### Core Vulnerabilities (`references/`) | File | Covers | |------|--------| | `injection.md` | SQL, NoSQL, OS command, LDAP, template injection | | `xss.md` | Reflected, stored, DOM-based XSS | | `authorization.md` | Authorization, IDOR, privilege escalation | | `authentication.md` | Sessions, credentials, password storage | | `cryptography.md` | Algorithms, key management, randomness | | `deserialization.md` | Pickle, YAML, Java, PHP deserialization | | `file-security.md` | Path traversal, uploads, XXE | | `ssrf.md` | Server-side request forgery | | `csrf.md` | Cross-site request forgery | | `data-protection.md` | Secrets exposure, PII, logging | | `api-security.md` | REST, GraphQL, mass assignment | | `business-logic.md` | Race conditions, workflow bypass | | `modern-threats.md` | Prototype pollution, LLM injection, WebSocket | | `misconfiguration.md` | Headers, CORS, debug mode, defaults | | `error-handling.md` | Fail-open, information disclosure | | `supply-chain.md` | Dependencies, build security | | `logging.md` | Audit failures, log injection | ### Language Guides (`languages/`) - `python.md` - Django, Flask, FastAPI patterns - `javascript.md` - Node, Express, React, Vue, Next.js - `go.md` - Go-specific security patterns - `rust.md` - Rust unsafe blocks, FFI security - `java.md` - Spring, Java EE patterns ### Infrastructure (`infrastructure/`) - `docker.md` - Container security - `kubernetes.md` - K8s RBAC, secrets, policies - `terraform.md` - IaC security - `ci-cd.md` - Pipeline security - `cloud.md` - AWS/GCP/Azure security

Prompt: ONLY if URL is from user input redirect(request.GET['next']) # FLAG: User-controlled redirect redirect(settings.LOGIN_URL) # SAFE: Server-controlled config # Weak crypto - ONLY if used for security purposes hashlib.md5(file_content) # SAFE: File checksums, caching hashlib.md5(password) # FLAG: Password hashing random.random() # SAFE: Non-security uses (UI, sampling) random.random() for token # FLAG: Security tokens need secrets module ``` --- ## Output Format ```markdown ## Security Review: [File/Component Name] ### Summary - **Findings**: X (Y Critical, Z High, ...) - **Risk Level**: Critical/High/Medium/Low - **Confidence**: High/Mixed ### Findings #### [VULN-001] [Vulnerability Type] (Severity) - **Location**: `file.py:123` - **Confidence**: High - **Issue**: [What the vulnerability is] - **Impact**: [What an attacker could do] - **Evidence**: ```python [Vulnerable code snippet] ``` - **Fix**: [How to remediate] ### Needs Verification #### [VERIFY-001] [Potential Issue] - **Location**: `file.py:456` - **Question**: [What needs to be verified] ``` If no vulnerabilities found, state: "No high-confidence vulnerabilities identified." --- ## Reference Files ### Core Vulnerabilities (`references/`) | File | Covers | |------|--------| | `injection.md` | SQL, NoSQL, OS command, LDAP, template injection | | `xss.md` | Reflected, stored, DOM-based XSS | | `authorization.md` | Authorization, IDOR, privilege escalation | | `authentication.md` | Sessions, credentials, password storage | | `cryptography.md` | Algorithms, key management, randomness | | `deserialization.md` | Pickle, YAML, Java, PHP deserialization | | `file-security.md` | Path traversal, uploads, XXE | | `ssrf.md` | Server-side request forgery | | `csrf.md` | Cross-site request forgery | | `data-protection.md` | Secrets exposure, PII, logging | | `api-security.md` | REST, GraphQL, mass assignment | | `business-logic.md` | Race conditions, workflow bypass | | `modern-threats.md` | Prototype pollution, LLM inject