Episode 4: Data Scientist Fireside, Part 1

Compound Trading

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State Secrets: Inside The Making Of The Electric State

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Step into the mysterious and visually stunning world of The Electric State as host Francesca Amiker takes you behind the scenes with the creative masterminds who brought Simon Stålenhag’s dystopian vision to life. In this premiere episode, directors Joe and Anthony Russo, stars Millie Bobby Brown and Chris Pratt, writers Christopher Markus and Stephen McFeely, and producers Angela Russo-Otstot and Chris Castaldi reveal how they transformed a haunting graphic novel into an epic cinematic experience. Watch The Electric State coming to Netflix on March 14th. Check out more from Netflix Podcasts . State Secrets: Inside the Making of The Electric State is produced by Netflix and Treefort Media.…

8 years ago 28:26

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In this episode, Mat interviews Sartaj, Lead Engineer at Compound Trading. This fireside interview constitutes Part 1 of an ongoing series with various scientists, algorithm developers, and other software-oriented traders. Some of today's topics include: * Introduction and Background * Developing an ontology or research programme for an algorithmic trading environment * Academia and private practice in contrast * Trading psychology, economic theory, and consumer accessibility * The future of collaboration between traditional traders and academics Join us next week for Part 2 of this fireside, where we get into some of the heavier "brass tacks" of how scientific domain knowledge plays a role in chart analysis, and some structural considerations for retail traders entering an increasingly automated trading environment. -- Main Site: www.compoundtrading.com Video Library: www.youtube.com/c/CompoundTrading Talk to our Traders (Free Public Chat): discord.gg/2HRTk6n If you are interested in being a guest, or have any questions, you can also reach us by: Email: info@compoundtrading.com Twitter: twitter.com/CurtMelonopoly (Lead Trader), twitter.com/HundalSHS (Engineer), twitter.com/CompoundTrading

5 episod

#Business #Compound Trading

Episode 4: Data Scientist Fireside, Part 1

Compound Trading

published 8 years ago

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MP3•Laman utama episod

5 episod

#Business #Compound Trading

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Episode 4: Data Scientist Fireside, Part 2 42:56

8 years ago42:56

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In this episode, Mat completes his interview with Sartaj, Lead Engineer at Compound Trading. This fireside interview constitutes Part 2 of an ongoing series with various scientists, algorithm developers, and other software-oriented traders. Some of today's topics include: * Artificial Intelligence and Machine Learning: Developing imperatives which mimic expert traders * Multidisciplinary Business Development: How do retail and institutional traders interface with software developers? * Barriers to entry in a changing algorithms market; will humans be replaced? * Scientific Method and the Markets -- Main Site: www.compoundtrading.com Video Library: www.youtube.com/c/CompoundTrading Talk to our Traders (Free Public Chat): discord.gg/2HRTk6n If you are interested in being a guest, or have any questions, you can also reach us by: Email: info@compoundtrading.com Twitter: twitter.com/CurtMelonopoly (Lead Trader), twitter.com/HundalSHS (Engineer), twitter.com/CompoundTrading…

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Episode 4: Data Scientist Fireside, Part 1 28:26

8 years ago28:26

28:26

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Episode 3: Guest Interview with Todd 22:28

8 years ago22:28

22:28

In this episode, Mat interviews one of our Live Trading Room subscribers, Todd (@todd350 on Twitter). He discusses his experiences with investing and transition into day trading, and how he built an edge with a rules-based approach. -- Main Site: www.compoundtrading.com Talk to our Traders (Free Public Chat): discord.gg/2HRTk6n If you are interested in being a guest, or have any questions, you can also reach us by: Email: info@compoundtrading.com Twitter: twitter.com/CurtMelonopoly (Lead Trader), twitter.com/HundalSHS (Engineer), twitter.com/CompoundTrading…

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Episode 2: Algorithms, Models, and the Future of Retail Trading 34:14

8 years ago34:14

34:14

Welcome to Compound Trading's weekly podcast. New episodes will be released every Friday after market close (4 PM EST or later). In this episode, our host Mat picks up from last weeks' interview with Curtis Melonopoly regarding his rationale behind researching out algorithmic models, and how he implements them in his day-to-day trading. Other topics include: * The algorithm marketplace today: bots versus "intelligent assistant" trading cockpits * How models are taken from concept to code * Differences between modeling in a lean startup environment versus hedge funds * The future of the ongoing wealth transfer Join us next week as we field an interview with one of our subscribers, and how they have found success within Compound Trading's sandbox. --- Main Site: www.compoundtrading.com Talk to our Traders (Free Public Chat): discord.gg/2HRTk6n If you are interested in being a guest, or have any questions, you can also reach us by: Email: info@compoundtrading.com Twitter: twitter.com/CurtMelonopoly (Lead Trader), twitter.com/HundalSHS (Engineer), twitter.com/CompoundTrading…

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Episode 1: Company History and Lead Trader Biography 35:33

8 years ago35:33

35:33

Welcome to Compound Trading's weekly podcast. New episodes will be released every Friday after market close (4 PM EST or later). In this inaugural episode, our host Mat interviews the lead trader and founder of Compound Trading, Curtis Melonopoly. Learn about the story of our founding, the rationale for our rules-based trading processes, and Curtis's trading journey. Today's topics include: * History of the Markets from the Pre-Internet to Modern Age * Emotional Quotient and Trading Psychology * Algorithmic Trading Main Site: https://www.compoundtrading.com Talk to our Traders (Free Public Chat): http://discord.gg/2HRTk6n If you are interested in being a guest, or have any questions, you can also reach us by: Email: info@compoundtrading.com Twitter: http://twitter.com/CurtMelonopoly (Lead Trader), http://twitter.com/HundalSHS (Engineer), http://twitter.com/CompoundTrading…

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