Quant Trading Live Report QuantLabs.net

In this episode of QuantLabs, our host Ryan delves into the world of algorithmic (algo) trading within the realms of real crypto exchanges and Bitcoin ETFs. Drawing from his experience with TraderPost.io, Coinbase, and Interactive Brokers, he provides an insight-rich perspective on active investment in the volatile crypto market.
 
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Listen in as Ryan debates the pros and cons of trading crypto on platforms like Coinbase or Interactive Brokers, versus opting for ETFs such as BlackRock. The episode sparks an intriguing question for traders: "Will the allure of high returns from altcoins triumph over the safety of Bitcoin ETFs or vice versa?"
 
Should You Algo Trade with a Real Crypto Exchange or a Bitcoin ETF Only? - QUANTLABS.NET
Discover the role that firms like BlackRock play in influencing Bitcoin prices, and learn about potential conflicts of interest in this domain. With a consideration on the differences in operational hours between crypto exchanges (24/7 trading) and traditional ETFs. Ryan underlines the significance of customization and flexibility in algo trading.
This episode is a treasure trove of knowledge about aspects such as risk tolerance, price control, market participation, and algo trading techniques. Whether you're a full-time trader or a casual one, this guide will help you make calculated decisions in your investment journey.
Dive into discussions about the complexity and security concerns related to real exchanges, the reduced risk and high liquidity options of Bitcoin ETFs, and the factors to consider when deciding between the two. You will also gain insight into relevant market conditions, potential benefits, and drawbacks for each option.
 
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Cap off this episode with a detailed discourse on BlackRock ETF, Coinbase, and the impact of shifting market conditions on trading decisions. Don't miss out on comprehensive price analyses and a chance to interact with a fast-growing trading community. Tune in to QuantLabs for insights and resources!
Happy trading!

Join Brian as he shares valuable insights about the transition from an MBA Finance degree to a career in Algo Trading. As technological advancements spiral, the finance industry is rapidly evolving with a focus on algorithm trading, which currently represents over 80% of all trades. In this episode, Brian points out the financial acumen, analytical competence, problem-solving skills, and trading knowledge required for the transition.
 
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In this transformative progression, Brian emphasizes the importance of Python and its libraries for beginners and C++ for advanced trading. However, one must not forget the main aim is to showcase trading skills, not language proficiency. Brian provides information about the Algo Trading concepts, specifically backtesting, different order types, and different algorithmic trading strategies, to aid listeners in their journey.
Alluding to the stiff competition in the finance industry, Brian advises listeners to acquire professional accreditations like a Chartered Financial Analyst (CFA) or a Certified Algo Trader to hone their skills and stand out. He also recommends getting involved in LinkedIn groups, webinars, conferences, and coding competitions to further expose their skills.
Finally, Brian talks about the necessity of not just having theoretical knowledge but also practical experience in trading real money. He warns his listeners of the fierce competition, especially from Chinese firms, and the importance of staying updated with the latest technology and quant analysis techniques.
For those aiming for the best-paying jobs, Brian advises to go all in - equip yourselves with degrees and recognitions from top universities, acquire a CFA, focus intensely on your coding and trading skills, and finally, be prepared to face a challenging and competitive environment.
Tune in to this informative talk and embark on your journey from an MBA Finance degree to a successful Algo Trader.

Welcome to the tutorial session for automated cryptocurrency trading. Brian from quantlabs.net will take you through the process of establishing live automated trading on your TradingView account with TradersPost.io and Coinbase. This highly informative discussion, recorded on April 23rd, 2024, explores the seamless connection between these platforms, enabling live trading and automated trading using Coinbase, currently the only supported broker for Traders Post IO when it comes to cryptocurrencies.
 
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The talk further elaborates on the real-time support of Coinbase and anticipates the addition of Kraken broker. Brian helps you navigate through the setup of TradersPost.io and TradingView with his YouTube video playlist, offering detailed insights into payload, messaging, etc., essential for setting up automated trading. There is also a mention of the Traders Post IO’s auto-submit option that allows fully automated trade setups once the user becomes a paying customer and gains confidence in the workings of the system.
The tutorial provides a Canadian perspective, pointing out the limitations of certain countries in trading US dollar in Coinbase and Kraken. The discussion delves deeper into the creation of alerts in Bitcoin and Ethereum, the triggering of signals into TradersPost.io, and the importance of familiarizing yourself with the full features of TradersPost.io before starting live trading.
Successfully managing your position sizing is another critical topic that is covered. You will learn about the different options available, like trading a percentage of your portfolio. This can also vary based on the size of your portfolio. There is also the option to override Traders Post IO settings right from the Pine script of Trading View. The tutorial highlights the importance of understanding the options and using the Traders Post IO’s support for any assistance.
Finally, the tutorial walks you through the Coinbase section of the TradersPost.io account, ensuring it's live and enabled. On imminent trading, you either approve or reject the order manually or opt for an automated trade. This allows for a smooth trading experience without having to worry about constant maintenance or sitting by a computer placing orders manually.
Brian wraps up by inviting those interested to join the conversation on his Discord server. He also encourages viewers to sign up for his newsletter for the latest updates and gain access to quantlabs.net books. Overall, this talk gives a comprehensive overview of the seamless trading experience between Coinbase, TradersPost.io, and TradingView.

Hello listeners, Brian from quantlabs.net here. In this episode, I discuss an intriguing article I read on hedgeweek.com. The title of the article was 'Quant Aspect Up 21% on Currency Market Bets'. It caught my eye, and I wanted to break it down for you all.
Aspect is a London-based quant hedge fund with a substantial 7.5 billion. It managed to score a 21% return in its flagship fund in 2021, thanks mainly to its currency market and commodities bets. As a result, Aspect scored above the 14% average for trend following funds and 3% average for discretionary macro managers over the same timeframe.
 
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The majority of the firm's returns came from dispersion in currencies and commodities. These were the most profitable areas given that US market performance has been lackluster recently. Commodities, especially gold and silver, were also performing well, although they dropped off a bit due to an expected US market rally.
 
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Aspect’s market-following trading strategies capitalized on a strengthening dollar, shorting the Japanese Yen and the Swiss franc - some of the year's worst-performing major currencies. Furthermore, the firm has been subtly adjusting its commodities position, lowering its stakes in cocoa after a record high while increasing exposure to gold and oil amidst escalating tensions in the Middle East.
What I've noticed is how the US markets have a significant influence on global trading trends. For those interested in delving deeper into this topic, check out the link to my Discord server and join my newsletter at quantlabs.net/books for more insights and free trading tech books in PDF format. Tune in to demystify the complicated world of trading currencies and commodities with me, Brian - your guide to understanding the global market pulse.

In this episode, Brian from quantlabs.net takes a deep look at the international expansion of Chinese quantitative hedge funds. Drawing insights from an article on hedgeweek.com entitled "Chinese Quants Look to International Expansion," he analyzes the implications and potential opportunities arising from this trend. Chinese quant firms are rapidly gaining attention in the investment world and their potential for expansion beyond China is massive.
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Brian underscores how increased domestic scrutiny from Chinese regulators has led some Chinese quant funds to escalate international activity. For instance, companies like MS Capital and DH Fund Management are ramping up their overseas operations. Despite the prevailing pessimistic views about the Chinese market, Brian observes that the Chinese stock market seems to be stabilizing and showing signs of improvement.
Citing examples of Chinese quant funds broadening their horizons, Brian recognizes the strides made by MS Capital and DH Fund Management. Both companies are evolving their strategies by attracting offshore investors and prepping to venture into global markets. Even the Beijing-based Ubiquant is planning to establish a U.S. office. The rate of international expansion for Chinese quant hedge funds is accelerating due to domestic market regulations.
Finally, Brian also mentions possible investment opportunities in these emerging Chinese quant funds for Western investors. The episode ends with Brian encouraging listeners to join his newsletter and the QuantLabs Discord server for more insights into these promising markets and potential investment opportunities.
 
https://quantlabs.net/blog/2024/04/a-deep-dive-about-coming-chinese-quant-firm-international-expansion/

Welcome to another episode with Brian from quantlabs.net, recorded on the 22nd of April. In this episode, Brian explores two significant forum posts that have recently caught his attention on quant.stackexchange.com. The central theme revolves around resources to learn algo trading quant development. Our host provides some impressive insights that could be beneficial for those interested in quantitative trading.
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A user's question on the forum sparks the discussion - the user is a full-time stack developer for three years and is now interested in learning algo trading quant dev development. They are seeking advice on resources, books, and suitable programming languages to learn. Brian shares one effective resource he stumbled upon - Wilmot.com. It isn't just a job-posting site, but it also includes details on who the job postings are for. The likes of JP Morgan, Goldman Sachs, HSBC are just few names from the list. This resource might be useful for anyone looking to delve deeper into the quant industry.
Moving on, Brian discusses a vast list of books available on quant.stackexchange.com that can be beneficial for anyone venturing into quantitative finance. He warns about the potential for analysis paralysis given the extensive list. He also shares his top picks from the list, including books from Mark Joshi and Dr. Ernie Chan, and more. He also alludes to some upcoming interviews with industry experts like Robert Pardo and the later Dr. Ernie Chan on his YouTube channel and podcast.
Apart from those, Brian recommends three more books to dive into quantitative finance. They include 'The Concept of Practiced Mathematical Finance' by Mark Joshi, 'Paul Wilmont on Quantitative Finance' by Paul Wilmont, and 'Options, Futures, and Other Derivatives' by John Hall. He advises new entrants to start with Paul Wilmott's book series which covers all major components of quant.
Finally, Brian introduces TradersPost.io, a service that can help interested individuals to get up and running quickly in the world of algorithmic trading with minimal programming. Once again, he invites listeners to join his Discord community to discuss these topics more and sign up for his email list for some big announcements. He concludes the episode looking hopeful to get Dr. Ernie Chan again on the show for another interview on his latest company launch on machine learning.