213.9K
Downloads
1638
Episodes
I speak about bitcoin eth cryptocurrency forex technolog for algo trading. Complete educational and data driven membership site. Join by getting our Trade Like a Boss books http://quantlabs.net/
Episodes
Monday May 13, 2024
Monday May 13, 2024
Join Brian from Quantlabs.net in this episode as he unveils the impressive revamp of their website, enhancing user experience to new levels and offering a glimpse into the possibilities offered by their services. Understand the evolving landscape of algo trading, the challenges of credibility it faces, and how Brian and his team are finding success through empirical evidence of their trading prowess.
Get your free trading tech book PDF books2 - QUANTLABS.NET
Learn about the exciting world of algo trading and auto trading, and how platforms like TradingView are revolutionizing the way we trade and invest. This episode gives a detailed comparison between algo trading and automated trading, underlining the feasibility of the latter for everyday people. Discover how TradingView is experiencing a boom in the social trading community, surpassing giants like Bloomberg and CNBC in terms of audience size.
Algo Trading, Transparency, and Building Your Trading Journey with Quantlabs.net V2 - QUANTLABS.NET
This episode also dives into portfolio management, emphasizing the importance of being proactive in managing your own investments rather than heavily depending on financial advisors. Explore the potential risks and benefits of integrating cryptocurrencies in your portfolio and gain insights into both passive and active portfolio strategies.
Last but not least, the episode stresses the need to showcase real trading results, sift through the lessons learnt from them, and maintain an active awareness of the financial markets. Join the experience to challenge your perceptions about trading, break free from traditional approaches, and dive into the vibrant world of algo/auto trading.
Friday May 10, 2024
Friday May 10, 2024
On this episode, I expound on the extraordinary life and legacy of Jim Simons, a mathematician, successful hedge fund manager, and a philanthropist who made an unwavering impact on Wall Street. Simons, the founder of Renaissance Technologies is widely considered one of the world's greatest investors.
Get your free trading tech books here books2 - QUANTLABS.NET
In the late '70s, Simons switched career paths and entered finance, founding the company we know today as Renaissance Technologies. This marked the beginning of his journey into quantitative finance, an industry to which he would become one of the most innovative pioneers.
As I explain, Simons always sought out PhDs in Physics, math, and computer science rather than MBAs, opting for the deep technical knowledge these fields offered - a trend that marks Wall Street's hiring culture today. Simons was driven by the power of data analysis and was always on the lookout for hidden patterns in data that the human eye could not perceive, leading to Renaissance Technology's extraordinary success.
We also delve into how Simons' legacy continues through his philanthropic efforts especially in the sphere of mathematical and scientific education. His foundation, the Simons Foundation, has donated billions of dollars to these causes, making a significant impact and demonstrating his deep belief in education.
Simons' life stands as a testament to the power of applying a scientific lens to complex problems and his pioneering spirit in the world of finance. He will be long remembered as a visionary in his field.
Join me in looking through the life of this extraordinary man and dive into the intricacies that led to his phenomenal success.
Tuesday May 07, 2024
Tuesday May 07, 2024
In this enlightening conversation, a veteran developer advocate from KX unfolds critical insights about the compelling database, KDB Plus. Journeying through her personal evolution from an apprentice to an advocate, she delves into the launch and progression of KDB Plus and the cost columnar structure that enhances its query efficiency.
This is an interview and webinar presentation with Michaela Woods who is Developer Advocate at KX.
Beyond the basics, she highlights the extensive resources available for learning KDB Plus — from books to online training academies – and emphasizes the significant role of community spaces such as forums and online platforms for knowledge share and query solution.
Ger your free trading tech books here books2 - QUANTLABS.NET
More details here
Why KX kdb+ and Q Should Be Your Next Financial Power Tools - QUANTLABS.NET
The discussion takes a turn, exploring KX Academy's course structure designed to equip learners with fundamental to advanced understanding of handling massive time-series data and creating custom functions. Demonstrating the sandbox feature, Michaela highlights the beauty of learning in a hosted environment without the need for installations. Michaela concludes with a glance at their advanced courses, tailor-made for individuals wanting to master KDB Plus.
Moving on, the conversation introduces a more modern development – PyKx. Shedding light on PyKx's rising popularity, it describes how Python integration is expanding KDB Plus's accessibility to software applications with its enticing interfaces for new users, without replacing the underlying Q language.
Discussion further covers the inclusive certification programs by KDB and its successful implementation in the manufacturing sector. Lastly, it dives into the recently launched developments: KDB AI and KDB Insights, exploring how they are innovatively reshaping data storage, retrieval, and cloud-based workloads.
This comprehensive discussion is designed to equip developers and beginners alike to leverage KDB Plus and PyKx for efficient time-series data handling and enhanced data analysis.
Wednesday May 01, 2024
Wednesday May 01, 2024
In this enlightening episode, join our host, Brian from quantlabs.net as he delves deep into the exciting world of latency and high frequency trading, with a primary focus on C++. This episode promises to pull you deep into the nuts and bolts of performance optimization, providing a comprehensive exploration of latency-sensitive applications and how they impact the Memory Subsystem. It's a world of code, geekiness, and high-level trading intelligence that promises to inform and captivate any tech-minded enthusiast.
Get out FREE trading tech books here
Follow along as Brian navigates a revealing article found on the CPP subreddit, labeled 'Latency Sensitive Applications and the Memory Subsystem: Keeping the Data in the Cache - Johnny's Software Lab'. From exploring the advantages of hardware-based HFT systems and the importance of effective cache management techniques - the conversation spans critical areas of software and hardware performance optimization in trading environments.
Not just an overview, Brian also takes a deep dive into coding techniques designed to minimize latency and maximize performance. You'll gain insight into coding examples, discussions around the use of hardware and software cache warming, the impact of different caching approaches on performance, and why a customized, well-articulated architecture is a must-have in achieving low latency.
Get on our Discord to talk about this
Beyond just coding, Brian also looks at the broader landscape, touching on the importance and role of various hardware in reducing latency and even extends the conversation to the cloud space, touching on the challenges and opportunities in leveraging Cloud vNICs.
Demystifying Latency: A C++ Deep Dive into High-Frequency Trading - QUANTLABS.NET
Whether you're interested in quant, trading, or improving your understanding of C++ techniques for optimizing latency, this podcast promises to leave you with a wealth of knowledge and insights that will help you navigate the world of high-frequency trading. Come along for this engaging journey through the intersection of streamlining software performance and trading technology.
Wednesday May 01, 2024
Wednesday May 01, 2024
G'day everybody! In this episode, we delve into the nitty-gritty and complex world of high-frequency trading (HFT). Through a detailed analysis of a recent technical post on quant.stackexchange.com, we explore the critical role of market-makers in HFT, their requirements, strategies, and response times in dynamic market conditions.
Get on our Email Newsletter while getting some free tech trading books books2 - QUANTLABS.NET
Market makers operate swiftly, adjusting their quotes to reflect real-time market dynamics. The time taken for sending quotes and receiving a hit in HFT could be around 1.5 milliseconds, which exemplifies the speed with which these players operate. The actual figures might vary, depending on the sophistication and speed of the underlying infrastructure.
Talk about this on our Discord
When a quote is hit, the response time isn't instant because of the computational processes required. Market makers must analyse the complexity of their algorithms, prevailing market conditions, and improve their technical framework for better efficiency and reduced latency. Regulatory and operational considerations also play a part in their decision making.
High-Frequency Trading: Unveiling the Market Maker's Dance - QUANTLABS.NET
Needing no cooling-off period nor limitations, the speed at which market makers replace their quotes depends on the computational capability of their system. They rapidly adjust their quotes in high-frequency trading. If multiple quotes are hit simultaneously, they reassess their strategies, potentially widening their spreads or dynamically adjusting their pricing to manage their risk exposure.
Don't be fooled into thinking it's all about speed, though. High-frequency trading also necessitates technologically advanced data processing capabilities, refined algorithms, sophisticated risk management models, and constant vigilance of regulatory compliance. Market makers must be continually looking for strategic enhancements in each of these areas to maintain a competative edge.
All things said, this is a fascinating peek into the complex world of HFT and market making. If these concepts intrigue you, perhaps it's worth delving deeper to get a better understanding of what's happening behind the scenes in the world of finance.
Monday Apr 29, 2024
Monday Apr 29, 2024
Join Brian from Quantlabs.net as he demystifies the world of Forex trading, uncovers the potential origins of Bitcoin, and discusses the evolution of his website, introducing the newly launching Quantlabs.net version 2. He debunks the often overemphasized credibility of 'verified trading gurus' and underlines adaptability and transparency as key aspects of successful trading.
Get your free trading tech books
Delving into the enigmatic origins of Bitcoin, Brian presents a provocative theory suggesting its creation might be linked to the US intelligence services. By his referencing the NSA and the Bank of International Settlements, he raises fascinating inquiries into the origin and potential influence of Bitcoin.
Demystifying Markets, Unveiling Origins of Bitcoin, and Charting the Future - QUANTLABS.NET
In a conversation about the uncertain future of cryptocurrency, Brian provides valuable predictions and reflects on the potential impact of emerging legislative structures in England, Russia, and China. This debate is pivotal for anyone seeking to understand the future of this volatile investment sector.
Furthermore, Brian discusses the impending shift in real estate dynamics, exploring potential changes to the landlord-tenant relationship and rent control legislation. With a spotlight on independent landlords, this discussion serves as a comprehensive guide to anyone interested in property investment or the future of the real estate market.
Moving to the technological aspect of trading, Brian shares his experiences transitioning from WordPress to Django for his website's advancement. This valuable insight perfectly serves individuals and businesses considering a similar switch to increase control and counter traffic decline.
The episode concludes with Brian showcasing a revolutionary trading system that integrates TradingView and TradersPost.io, aiming to optimize trading processes and decrease trader workload. Both trading novices and seasoned investors will find this discussion enlightening and potentially transformational for their trading practices.
Wednesday Apr 24, 2024
Wednesday Apr 24, 2024
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.
Get your free trading tech books books2 - QUANTLABS.NET
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.
Get your free trading tech books books2 - QUANTLABS.NET
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!
Wednesday Apr 24, 2024
Wednesday Apr 24, 2024
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.
Get your free trading tech books to enhance your algo journey
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.
Tuesday Apr 23, 2024
Tuesday Apr 23, 2024
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.
Automate Your Crypto Game: TradingView, TradersPost.io, and Coinbase - QUANTLABS.NET
Get your free trading tech books https://quantlabs.net/books
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.
Tuesday Apr 23, 2024
Tuesday Apr 23, 2024
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.
Get your free trading tech books books2 – QUANTLABS.NET
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.
Join our Discord https://discord.gg/RGsuVBhVAe
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.