Podcasts about quantconnect

I had another great conversation with Agus Sudjianto around machine learning models, LLMs, risk management, model validation, and building culture. Agus recently retired from Wells Fargo and is now enjoying a variety of side projects including working at H2O.ai, teaching model validation at UNC, and I believe a few other projects which may come to light within the next year.Website:https://www.FancyQuantNation.comSupport the channel:https://ko-fi.com/fancyquantQuant t-shirts, mugs, and hoodies:https://www.teespring.com/stores/fancy-quantConnect with me:https://www.linkedin.com/in/dimitri-biancohttps://twitter.com/DimitriBiancoTiny Expeditions - A Podcast about Genetics, DNA and InheritanceExplore the exciting world of genetics in an easy-to-understand way with Tiny Expeditions.Listen on: Apple Podcasts SpotifySupport the show

Should you have friends at work?Of course! You need a network around you. You need people to talk to who can relate to you. It makes work easier as you understand your colleagues better, it helps find work in the future, and it makes it enjoyable to go to work.That being said, I rarely ever hang out with my colleagues outside of work. However I do grab lunch with past colleagues and my Santander friends did all text and call congratulating me on my new daughter.Website:https://www.FancyQuantNation.comSupport:https://ko-fi.com/fancyquantQuant t-shirts, mugs, and hoodies:https://www.teespring.com/stores/fancy-quantConnect with me:https://www.linkedin.com/in/dimitri-biancohttps://twitter.com/DimitriBiancoSupport the show

As a book review I give "Operation Paperclip" 5/5 stars! I'm not typically a big fan of popular paperback books (non textbooks).The dilemma in the books shows a brief insight into some of the horrible killings and crimes as well as the potential or perceived need for the science to end WWII with Japan as well as fend of Russia (cold war). Determining who was of value was challenging and many of the crimes were swept under the rug. As someone who practices science it is understandable that we need break throughs especially when war is involved. However on the other hand the true Nazis needed to be held accountable.Science funding fell off in the US and it seems to be negatively impacting progress in both the public and private sectors.I meant Eric Weinstein not Bret Weinstein however they both have a similar stance. Eric states more of the details of the lack of funding historically.My Life as a Quant:https://amzn.to/3Kn3h9R (my affiliate link)Eric Weinstein:https://open.spotify.com/episode/7MDxyrrhD7gC7XMRwB0ulvBret Weinstein:https://youtu.be/pRCzZp1J0v0Website:https://www.FancyQuantNation.comSupport:https://ko-fi.com/fancyquantQuant t-shirts, mugs, and hoodies:https://www.teespring.com/stores/fancy-quantConnect with me:https://www.linkedin.com/in/dimitri-biancohttps://twitter.com/DimitriBiancoSupport the show

I had a blast chatting with David Shimko. We discussed a range of topics from his new book that he is working on that covers a more modern approach to valuation to education and training of new quants. Some interesting topics covered are around the CAPM and options pricing.Simpler Option Pricing (David Shimko):https://youtu.be/uYnYWucILBcDan Stefanica's Primer on Linear Algebra (affiliate link):https://amzn.to/3JIL9pDWebsite:https://www.FancyQuantNation.comSupport:https://ko-fi.com/fancyquantQuant t-shirts, mugs, and hoodies:https://www.teespring.com/stores/fancy-quantConnect with me:https://www.linkedin.com/in/dimitri-biancohttps://twitter.com/DimitriBiancoSupport the show

Jared Broad from QuantConnect is our guest today. We discuss why QuantConnect is open source along with many of the struggles with getting, cleaning, and managing data. QuantConnect helps you get quality data for model and strategy development and then helps you get that strategy implemented onto the exchanges with minimal effort. One of the coolest things about QuantConnect is the wide range of data available especially some of their more unique alternative data sources.Video Version:https://youtu.be/6Me3dfwqilAQuantConnect Job:https://www.getonbrd.com/jobs/programming/quantitative-developer-internship-quantconnect-remoteQuantConnect:https://www.quantconnect.com/Website:https://www.FancyQuantNation.comSupport:https://ko-fi.com/fancyquantQuant t-shirts, mugs, and hoodies:https://www.teespring.com/stores/fancy-quantConnect with me:https://www.linkedin.com/in/dimitri-biancohttps://twitter.com/DimitriBiancoSupport the show

In this episode I speak to Jared Broad of QuantConnect, the open-source quantitative trading infrastructure.In our conversation, Jared and I explore QuantConnect's unique model, as it helps a growing stable of smaller quant funds compete with the more established market players, using alternative data.Meanwhile, if you have a notable or new dataset that you would like to discuss on the podcast, get in touch! Hosted on Acast. See acast.com/privacy for more information.

Future proofing your career especially in STEM fields is very important. New trendy fields and jobs pop up every few years and often the advice give is to run towards the new thing. This is usually one of the worst ideas as you get a shallow education as the field is new and you risk that field not being popular moving forward.My advice is focus on the core skills or first principles. People think this means taking just a quick undergrad course or MOOC however this is far from what I mean. There are a lot of math, stats, and CS courses that focus on the fundamentals of areas you have never heard of. Really focusing in on the core skills will help you pick up new trendy topics much quicker. This whole idea is called "maturity."Take a look at Thomas Garrity discussing mathematical maturity.https://youtu.be/zHU1xH6Ogs4Video version:https://youtu.be/WTNM0yHF6vcWebsite:https://www.FancyQuantNation.comQuant t-shirts, mugs, and hoodies:https://www.teespring.com/stores/fancy-quantConnect with me:https://www.linkedin.com/in/dimitri-biancohttps://twitter.com/DimitriBiancoSupport the show

Why does automating model validations fail?Goals/Plan:1) Specify the model2) Runs the development model for a replication check3) Output of all possible analysis for that model type is produced including challenger modelsReasons it Failed:1) Data and their processes vary from department to department and change across time without warning.2) Too much output is generated that needs to be manually reviewed.3) When issues are found, manual output is still required.4) Anyone proficient in programming can conduct a full validation faster than the automated system.5) Manually built models by true experts are still beating automated challenger models or development built models.Video version:https://youtu.be/H6kQ7e8whhEWebsite:https://www.FancyQuantNation.comQuant t-shirts, mugs, and hoodies:https://www.teespring.com/stores/fancy-quantConnect with me:https://www.linkedin.com/in/dimitri-biancohttps://twitter.com/DimitriBiancoSupport the show

Last week's episode was on lessons I learned from good managers and today we discuss lessons from bad managers. Many of the key issues here really come down to being an honest and transparent person (lessons we learned in the episode about building a personal brand). Not doing work and calling people out during meetings is simply bad behavior especially when you are the manager.Video version available on YouTube:https://youtu.be/lhM2cDsFHJsWebsite:https://www.FancyQuantNation.comQuant t-shirts, mugs, and hoodies:https://www.teespring.com/stores/fancy-quantConnect with me:https://www.linkedin.com/in/dimitri-biancohttps://twitter.com/DimitriBiancoSupport the show

Over the years of working I have worked for a few managers and have witnessed a lot of managers of a variety of teams. In today's podcast episode I am discussing the lessons I have learned from good managers. Some of the main lessons are about taking time to make big decisions (time has value) and take a real interest in your team members.Next week's episode will be me discussing lessons I have learned from bad managers.Website:https://www.FancyQuantNation.comQuant t-shirts, mugs, and hoodies:https://www.teespring.com/stores/fancy-quantConnect with me:https://www.linkedin.com/in/dimitri-biancohttps://twitter.com/DimitriBiancoThe Gaming BlenderEver wanted to design your own video game? We create new hypothetical games every episode!Listen on: Apple Podcasts SpotifySupport the show

Milind Sharma is the QuantZ / QMIT CEO with a deep background in quantamental investing. His experience started with a solid education from Carnegie Mellon with the Milind Sharma is the QuantZ / QMIT CEO with a deep background in quantamental investing. His experience started with a solid education from Carnegie Mellon with the MS in Computational Finance program back in 1995 when the program was just starting. On top of that he build a great career around quantitative finance running trading teams at some of the largest global banks. Today we discuss his background, quantamental finance, and QWAFAxNew.Milind Sharma:https://www.linkedin.com/in/milind-s-0879b4/QuantZ:http://www.quantzcap.com/index.htmQWAFAxNew:https://qwafaxnew.org/YouTube Version:https://youtu.be/5_sulCeAv2sWebsite:https://www.FancyQuantNation.comQuant t-shirts, mugs, and hoodies:https://www.teespring.com/stores/fancy-quantConnect with me:https://www.linkedin.com/in/dimitri-biancohttps://twitter.com/DimitriBianco☕ Show Your Support and Buy Me a Coffee ☕https://ko-fi.com/fancyquantSupport the show

Oddly enough I get asked a fair amount about marriage on my quantitative finance channel. It typically comes from young men who are trying to plan their lives and want to know when they should start looking for a spouse. I have also been asked to talk about marriage because I was married fairly young at the age of 20. I do believe marriage plays an important role in developing a career but more importantly a fulfilling life. In this episode I will also briefly discuss having kids. I am fairly new to the who idea of kids as I just had a daughter last year.Quant t-shirts, mugs, and hoodies:teespring.com/stores/fancy-quantConnect with me:https://www.linkedin.com/in/dimitri-biancohttps://twitter.com/DimitriBianco☕ Show Your Support and Buy Me a Coffee ☕https://ko-fi.com/fancyquantSupport the show (https://ko-fi.com/fancyquant)

"What does a quant career look like?" The simple answer...they are all different. The long answer has to do with understanding goals and deciding whether or not you want to stay an individual contributor or become a manager. The higher up the corporate ladder you go, the less quant work you'll do. I'm trying to do both but at times I feel like I am being torn in half.Not to mention quants have been going into new areas like data science, crypto currency, and defi. Careers for quants aren't a simple steps 1-10.In this video I give you some points to think about and how I wish the industry would change.Quant t-shirts, mugs, and hoodies:teespring.com/stores/fancy-quantConnect with me:https://www.linkedin.com/in/dimitri-biancohttps://twitter.com/DimitriBianco☕ Show Your Support and Buy Me a Coffee ☕https://ko-fi.com/fancyquantSupport the show (https://ko-fi.com/fancyquant)

Academics and industry professionals alike  seem to think their field of study is correct while others are outdated or wrong. I completely get where the frustration comes from as there has been a lot of hype in many fields which is being pushed by people who aren't really apart of any field. Kaggle and towards data science come to mind however there are a long list of textbooks as well. The frustrating part though is the lack of understanding in what unifies all of us which is the scientific method. The scientific method is designed to challenge ideas and come up with better ones while adhering to a rigorous set of logic and testing.Quant t-shirts, mugs, and hoodies:teespring.com/stores/fancy-quantConnect with me:https://www.linkedin.com/in/dimitri-biancohttps://twitter.com/DimitriBianco☕ Show Your Support and Buy Me a Coffee ☕https://ko-fi.com/fancyquantSupport the show (https://ko-fi.com/fancyquant)

"What does a quant career look like?" The simple answer...they are all different. The long answer has to do with understanding goals and deciding whether or not you want to stay an individual contributor or become a manager. The higher up the corporate ladder you go, the less quant work you'll do. I'm trying to do both but at times I feel like I am being torn in half.Not to mention quants have been going into new areas like data science, crypto currency, and defi. Careers for quants aren't a simple steps 1-10.In this video I give you some points to think about and how I wish the industry would change.Quant t-shirts, mugs, and hoodies:teespring.com/stores/fancy-quantConnect with me:https://www.linkedin.com/in/dimitri-biancohttps://twitter.com/DimitriBianco☕ Show Your Support and Buy Me a Coffee ☕https://ko-fi.com/fancyquantSupport the show (https://ko-fi.com/fancyquant)

Learn the fundamentals of easily creating your own trading algorithm with the free tools available on QuantConnect. Anyone who has attempted to build their own trading algorithm knows just how complex and difficult that undertaking can be. It requires a deep understanding of programming, an affinity for troubleshooting, knowledge of financial markets, and access to tremendous amounts of expensive data. It is no small feat to develop one's own automated trading platform and then develop a profitable, competitive algorithm to execute it. However, QuantConnect offers 6 competitive and affordable resources that make it easy for you to start making money as an algorithmic trader. Click this link to continue reading my story on Data Driven Investor! --- Send in a voice message: https://podcasters.spotify.com/pod/show/completealgotrader/message Support this podcast: https://podcasters.spotify.com/pod/show/completealgotrader/support

In the second part of this series, I will explain how to cut losses with trailing stop orders through order events on QuantConnect. There's a trading adage espoused by many professional traders and investors that every new trader should learn to practice: “cut your losers and ride your winners.” By having a disciplined approach to risk management, you can minimize the amount of money lost and lock in the gains made by getting out before the market goes against you. In this story, I will walk through one of QuantConnect's tutorials to explain how to cut losing positions and lock in profits with a trailing stop order. I will also attempt to supplement the tutorial with references to official documentation and 3rd party references. This story covers trailing stop orders along with lesson 2 of their “Boot Camp 101”. If you are just beginning to use QuantConnect, check out my story that covers lesson 1 of the boot camp. Otherwise, let's dive in. Click this link to continue reading my story on Data Driven Investor! --- Send in a voice message: https://podcasters.spotify.com/pod/show/completealgotrader/message Support this podcast: https://podcasters.spotify.com/pod/show/completealgotrader/support

Learn how to begin building trading strategies to be back-tested in the QuantConnect Lab. Although QuantConnect is an excellent platform that simplifies the process of researching, testing, and deploying trading algorithms, it comes with a steep learning curve. I found that their boot camp tutorials and documentation do not thoroughly explain all of the available functions and properties. Additionally, there does not seem to be an abundance of third-party tutorials on YouTube either, which has made it quite difficult to learn QuantConnect's full functionality. Therefore, I will be exploring QuantConnect's features through this series in an effort to clarify what can be done on the platform. I will provide helpful examples of algorithms, functions, and properties so that you can learn how to automate your own strategies. With that said, let's get into some beginner steps for developing algorithms on QuantConnect. Click this link to continue reading my story on Data Driven Investor! --- Send in a voice message: https://podcasters.spotify.com/pod/show/completealgotrader/message Support this podcast: https://podcasters.spotify.com/pod/show/completealgotrader/support

In today's episode, Jason Pereira talks to Dr. Stephen Taylor - Assistant Professor of Finance at New Jersey Institute of Technology. He has worked in the financial services industry at Bloomberg, MIT Lincoln Laboratory, Morgan Stanley, and Tudor Investment Corporation. In this podcast, they will discuss a couple of emerging trends, specifically in fintech and fintech education.Episode Highlights:00.35: Steven is in the line of teaching for the past four years. He is from a bit of an orthodox ethnic background. He has gained a lot of practical experience in the past while working with Morgan Stanley, Bloomberg etc. 1.09 Jason curiously asks Steven, “What led you to teaching?”1.29: Steven talks about his career journey and shares about his knack for academia from a very early stage in life. 1.57: Jason says, “Today we are going to talk about emerging fintech trends.” He asks Steven to share the three big emerging fintech trends.2.11: Steven shares his insightful views of the big trends in the fintech trends. 2.43: He says peer-to-peer insurance is an area that's just starting to expand; second on his list is asset management. Third, in his list is digital sharing of training strategies through various platforms.3.10: Steven says his views are more from theoretical design aspects; he does not know much about the regulation side. 3.15: While giving an example, Steven says, “Suppose within your immediate family you implicitly insure yourself. You have an accident, and your father might help you out with $200. This approach is a lot more cost-effective rather than going through the claims process where there are half a dozen people involved and overhead costs.” He shares his concern that “How do you formalize the insurance in a way that it is more than just family and friends' agreement?”4.06: Jason says, “People are often shocked and amazed by the size of the insurance industry in general. When you think about how many people are employed, by how many people specifically on the distribution side is the actual underwriting, and eventually called reinsurance space.” 4.38: Jason further adds, “Reinsurance space isn't that big really, but this is a distribution onerous.” He says that “I could see there is a tremendous amount of overhead.” 4.40: Jason asks Steven, “In the theoretical context, how does peer to peer software that is just solely through digital distribution and lack of need for sales agents? and how would this product be discovered and basically applied or opted into by both sides of the transaction?”5.00: Steven says he might like ideal visualization because it won't manifest itself for decades to come or anything remotely close to it is. He says, “I would like to see it go to more of a setting where you get matched with people, you have similar risk profiles as yourself, and this could be done like pulling out a questionnaire survey.”7.48: Talking about the digital investment side, Jason says, “We have the big waves of the Robo advisors coming in, threatening too deep to destroy the traditional models.” 10.14: Steven says, “I would like to see what institutional hedge fund investor is five years ago to the day where there are certain limitations, but now you're going to have hundreds of different opportunities to get into eventually, and it's going to be a better space for everyone.”11.13 Jason inquires, “We are talking about a pile of stock because of XYZ and do the short squeeze. But you're talking about something far more sophisticated, right? You're talking about like no is sharing the quantitative algorithms, and what not for trading is that the uppercase?”11.34: Steven affirms, “I think the prototype for this right now is a platform called QuantConnect. they provide data infrastructure they provide back testing infrastructure, and you basically just cut up your algorithm in Python, and they'll give you performance measures.”12.28: Steven shares the challenges and competition faced by students in the Fintech industry. He says, “By the time you finish school, you should be able to code; knowing excel is just not enough.”15.07: While providing an explanation for what programming is, Steven says, “If you learn to program well, you can automate basically all the tedious aspects of your job and then focus on the ones that really require human and electrical thoughts.”17.18: Steven says the biggest challenge in terms of getting a job for a student is to convince your hiring manager that you're able to take a deeper dive into ideas, and you're able to take on projects and ownership around them. 3 Key Points:Jason and Steven are going to talk about emerging fintech trends. While talking about the challenges in the Fintech industry, Jason inquires, “How is educating people in finance changed in light of the proliferation of fintech? Steven talks in detail about the one thing that he would like to change in the Fintech industry; that is simpler regulation.Tweetable Quotes:“The more transparency you add to any system, the better the overall costs go down.” - Stephen Taylor“Technology and software are eating the world, and they're slowly starting to eat the world of financial education as well.” - Jason Pereira“I always love people concept of proficiency, and my favorite question in the interview is give me an example of the most complex macro we've ever built. I always get a blank stare.” - Jason PereiraResources Mentioned:Facebook – Jason Pereira's FacebookLinkedIn – Jason Pereira's LinkedInWoodgate.com – SponsorLinkedIn – Jason Pereira's LinkedInStephen Taylor: Website Podcast Editing See acast.com/privacy for privacy and opt-out information.

Risk management seems to have lost its meaning. After the 2008 financial crisis banks have started labeling every department as risk management in some way. While it would be great if every department understood the risks they create or manage to any company, the over use seems to have diminished its actual value and meaning. The skills required to work in "risk management" vary greatly depending on what area you want to work in. Someone who might work in model governance or a first line of defense risk manager might require a business degree and experience using Excel. Other jobs such as model developer or model validator might require a Masters or PhD along with experience in statistics, mathematics, and computer science. The easiest way to figure out where in risk management you might fit would be to look at job postings and see what skills are required.To make matters more confusing, the investing side views risk as VaR and ES. Don't get me wrong, there are some advanced firms out there with well developed risk departments and processes however there are a lot of firms with over simplified understanding of risk management as a big picture concept that should be applied to an entire firm.YOUTUBE Version:https://youtu.be/BVmUnn2gX08SUPPORT THE CHANNEL:Quant t-shirts, mugs, and hoodies:https://teespring.com/stores/fancy-quantConnect with me:https://www.linkedin.com/in/dimitri-biancohttps://twitter.com/DimitriBianco☕ Show Your SUPPORT and Buy Me a COFFEE ☕https://ko-fi.com/fancyquantSupport the show (https://ko-fi.com/fancyquant)

As someone who has worked from home off and on before the Covid-19 event, I figured I would cover some basic working from home ideas as well as some pointers for managers and some realizations about office versus home productivity. I even share a way to handle micro managers who don't fully embrace working from home.I originally thought after the pandemic people would go back to the usual office environment however from talking to a variety of managers, it seems like more companies will embrace it due to an increase in productivity. I will also cover some ways to avoid burnout when working from home. Often we lose control of work hours which causes excessive stress due to unrealistic expectations.1) Set up a schedule2) Find a quiet place to work3) Learning to socialize digitallyVIDEO VERSION:https://youtu.be/E84CxbhsPAISUPPORT THE CHANNEL:Quant t-shirts, mugs, and hoodies:https://teespring.com/stores/fancy-quantConnect with me:https://www.linkedin.com/in/dimitri-biancohttps://twitter.com/DimitriBianco☕ Show Your SUPPORT and Buy Me a COFFEE ☕https://ko-fi.com/fancyquantSupport the show (https://ko-fi.com/fancyquant)

Today's Talking Tuesday with Fancy Quant is all about his adventure to New York City. I'll discuss why I moved there, what it was like on Wall Street, and why I left. At the end I will highlight some fun experiences of living the Wall Street lifestyle. There are aspects such as the cleanliness that I didn't like but overall I loved living and working in NYC. The vast amounts of culture, the busy and exciting vibe of the city, and the amount of family, friends, and students that I could visit with were all amazing.I ended up living in Long Island City (LIC - Queens), Upper East Side, and Weehawken NJ. I worked in LIC, Wall Street, and Mid Town.Talking Tuesday with Fancy Quant (Podcast):http://fancyquant.buzzsprout.com/Follow Fancy Quant on:Spotify, Apple Podcast, Stitcher, and many others!SUPPORT THE CHANNEL:Quant t-shirts, mugs, and hoodies:https://teespring.com/stores/fancy-quantConnect with me:https://www.linkedin.com/in/dimitri-biancohttps://twitter.com/DimitriBianco☕ Show Your SUPPORT and Buy Me a COFFEE ☕https://ko-fi.com/fancyquantSupport the show (https://ko-fi.com/fancyquant)

What does a corporate financial analyst do? I asked myself this question as I was going to school for my BBA in Finance however I never found an honest response. I thought it would be a boring job as many people seemed to be talking all about investment banking or IB as they liked to call it. I decided in undergrad that I would try and work on the trading side or the investment banking side as it required more driven people.To my surprise I was actually doing corporate finance and I didn't really realize it. I had been working at a start-up manufacturing company for a few years and I slowly transitioned into helping with the finances and accounting as well as many other jobs. The job was so busy all the time I just viewed myself as someone doing business. Looking back on the experience, one of my main jobs was to do corporate finance. I was involved on gathering data, analyzing the data, and making presentations about the results. This in a nutshell is what corporate financial analysts do. They provide a financial perspective to the business problems.Many of the skills needed to be a financial analyst were taught in my finance undergrad. Discounted cash flow models (DCF), debt pricing (bonds), and ROI were common tasks. Some of my projects including financial reporting, profitability of custom projects, developing pricing models, reviewing supply and demand of markets, creating and presenting PowerPoint presentations to investors and customers, conducting cash flow analysis, and providing information on decision making for manufacturing costs including raw materials and labor.The career is slower than other areas of finance however the job is much more stable. The environment is fairly cyclical with reporting while allowing some creativity in ad hoc projects. People are usually friendly and you get the opportunity to work with a variety of departments as finance effects every part of a business. Many of these jobs have a relaxed dress code or casual Fridays. You might work a 50-60 hour week when deadlines arise however most of the time you will work around 40 hours and be able to have a life outside of work.CFI Financial Analyst Skills:https://corporatefinanceinstitute.com/resources/careers/jobs/what-does-a-financial-analyst-do-day-in-the-life/SUPPORT THE CHANNELQuant t-shirts, mugs, and hoodies:https://teespring.com/stores/fancy-quantConnect with me:https://www.linkedin.com/in/dimitri-biancohttps://twitter.com/DimitriBianco☕ Show Your Support and Buy Me a Coffee ☕https://ko-fi.com/fancyquantSupport the show (https://ko-fi.com/fancyquant)

Getting your first job after college (or graduate school) or always very hard. It seems like most students apply for hundreds of jobs and get very little feedback from employers. In this episode I discuss my failed attempts at getting a job after undergrad and then my continued failure as well as my short sprint of success. I learned a lot about resume writing and interviewing all from my bad experiences. Now as an industry professional I realize the lessons I learned were correct however no one talks about them. I don't think it is a secret, I just think people including those hiring really understand what is going on in their minds.A few tips:Companies don't ant experienced hires when they are hiring students.Companies want an easy fit....Listen and subscribe for more tips and enjoy my story of failure to success.Quant t-shirts, mugs, and hoodies:https://teespring.com/stores/fancy-quantConnect with me:https://www.linkedin.com/in/dimitri-biancohttps://twitter.com/DimitriBianco☕ Show Your Support and Buy Me a Coffee ☕https://ko-fi.com/fancyquantSupport the show (https://ko-fi.com/fancyquant)

My journey to becoming a quant (someone with math, stats, and computer science skills) was non-traditional. Most people are also shocked to find out that I hated secondary school and wasn't even sure I wanted to go to college. I wasn't the biggest fan of primary school either but looking back, I do miss the experience of primary school. College is where I really shined and re-found my curiosity for education and more traditional learning which lead me into statistics, financial engineering, and applied economics. I eventually graduated with a Masters of Applied Economics and went on to a fairly successful career in quantitative risk management (with a lot more ahead of me).You DON'T need to be a genius to be successful at life!Fancy Quant t-shirts, mugs, and hoodies:https://teespring.com/stores/fancy-quantConnect with me:https://www.linkedin.com/in/dimitri-biancohttps://twitter.com/DimitriBiancoSupport this Channel:https://www.patreon.com/FancyQuantSupport the show (https://ko-fi.com/fancyquant)

Quantitative finance is an industry that is mainly comprised of non-US workers. Many of them get graduate degrees in the US and become citizens in the long run though. Today I am discussing some of the cultural differences I have noticed over the years. These cultural differences are not good or bad, they are just differences. Learning to be accepting is important in all jobs but especially in those where differences might not be realized.Quant t-shirts, mugs, and hoodies:https://teespring.com/stores/fancy-quantConnect with me:https://www.linkedin.com/in/dimitri-biancohttps://twitter.com/DimitriBiancoSupport this Channel:https://www.patreon.com/FancyQuantSupport the show (https://ko-fi.com/fancyquant)

Jared Broad, CEO and Founder of QuantConnect - joined us to talk about the infrastructure behind their financial backtesting platform, which mixes Kubernetes for their customer facing platform and the highest performing Google Cloud VMs for their backtesting engine. The Cloud Native Show is presented by Rackner, a consultancy focused on cloud native product development, DevSecOps, and Kubernetes.

Algorithmic trading is a field that has grown in recent years due to the availability of cheap computing and platforms that grant access to historical financial data. QuantConnect is a business that has focused on community engagement and open data access to grant opportunities for learning and growth to their users. In this episode CEO Jared Broad and senior engineer Alex Catarino explain how they have built an open source engine for testing and running algorithmic trading strategies in multiple languages, the challenges of collecting and serving currrent and historical financial data, and how they provide training and opportunity to their community members. If you are curious about the financial industry and want to try it out for yourself then be sure to listen to this episode and experiment with the QuantConnect platform for free.

In this episode, Mark is joined by Jared Broad, Founder and CEO of QuantConnect. They discuss: What is QuantConnect? Who is using the platform? What are the most popular markets/products with QuantConnect users? The move from Brooklyn to Seattle What are Alpha Streams? What is the Algorithm Framework? The LEAN platform And more...

In this episode, Mark is joined by Jared Broad, Founder and CEO of QuantConnect. They discuss: What is QuantConnect? Who is using the platform? What are the most popular markets/products with QuantConnect users? The move from Brooklyn to Seattle What are Alpha Streams? What is the Algorithm Framework? The LEAN platform And more...

Good morning listeners, Today is a very special episode. I am here live with Jared Broad, the founder of Quantconnect. Jared and his team are building a platform for anyone wanting to build quantitative trading strategies and a marketplace for anyone to license their trading strategies using alpha streams. They have done the hard part by building the infrastructure for quantitative traders and a vibrant community to share and learn from each other. We discuss the Quantconnect platform, his story and experiences, and how Quantconnect got started. Below is an excerpt of our conversation about where engineers find inspiration. “That is the beauty about having a big diverse community. If you understand philosophy and psychology, then you will be using your philosophy and psychology experiences to pull into your trading strategy. Maybe you’re a math grad and you will be using mathematical techniques and thinking about things with hard numbers. Everybody got different inspirations by their experiences. That is kind of the beauty of a community of people is that they all have different experiences and they come together to design it in the Quantconnect ecosystem.” 1:14 – Tell me how it got started. What was your background and what led you to create Quantconnect? 4:38 – Can you tell me more about your experience in Chile? 6:13 – How was the startup culture? 7:20 – What is Quantconnect and how are you guys different from the others like Quantopian and Numerai? 9:07 – Can you tell me more about the LEAN program? 12:40 – Can you tell me more about the alpha streams and are your competitors doing anything similar to that? 15:36 – What are alpha signals and can you give examples and strategies that have generated alpha? 17:26 – How do you benchmark those signals? 18:30 – Where do engineers find inspiration for their strategies? 23:47 – Can you tell me about the Jupyter notebook? 26:20 – Do you personally subscribe to a particular investment philosophy and how would you characterize it? 28:33 – Do you seek any inspiration from others investors? 29:11 – What is your objective with Quantconnect? 30:03 – What are your favorite books? You can find more information: https://www.quantconnect.com/ Enjoy and thanks for the listen!

Though it's not always easy to believe, markets are not rigged by machines. There are benefits to electronic human trading and benefits to trading algorithms, which operate based on a set of rules. We talk with Jared Broad, CEO and founder of QuantConnect, about the basics of algorithmic and quantitative trading to find out what point-and-click traders should know. Host Eddie Horn and TopstepTrader's John Hoagland break down the interview and share some of their personal stories trading.

In this episode, Mark is joined by Jared Broad, Founder and CEO of QuantConnect. They discuss: The genesis of QuantConnect What is QuantConnect? Fast-tracking people's development Making data more accessible The challenge of the crypto market What kinds of algos are coming up for Bitcoin? What is the Broadcast tab? And more  

In this episode, Mark is joined by Jared Broad, Founder and CEO of QuantConnect. They discuss: The genesis of QuantConnect What is QuantConnect? Fast-tracking people's development Making data more accessible The challenge of the crypto market What kinds of algos are coming up for Bitcoin? What is the Broadcast tab? And more