Quant Trading Live Report

In this podcast, we discuss a recently published Hedgeweek article focusing on Renaissance Technologies, also known as Rentech, and their acquisition of GameStop and AMC shares. These shares surged in value, prompting questions around the validity of Rentech's actions and whether this was a calculated investment decision or potential insider trading. Get your free trading tech books here books2 - QUANTLABS.NET We delve into the intricate mechanisms of the stock market, highlighting how Rentech's sophisticated quantitative modeling and data-driven investment strategies could have possibly predicted and benefited from this phenomenon. However, with a focus on potential insider trading, we question whether the Securities and Exchange Commission (SEC) should be investigating this situation. Renaissance's Meme Stock Bet Insider Trading or Savvy Investing? - QUANTLABS.NET The podcast also considers the broader implications of Rentech potentially being involved in this 'Meme Stock' rally, discussing the potential damage to their reputation, potential regulatory changes, and the effect on the general stock market. The participation of other traders and potential collusion via social media are other facets explored in relation to this complicated issue. The potential consequences of the SEC finding evidence of wrongdoing within Rentech are also considered, with the discussion speculating on the possible outcome of hefty fines, criminal charges, and reputational damage. We emphasize the broader message such verdicts would send to other hedge funds and the critical importance of ethical investing. Despite the potential risks, the discussion acknowledges the possibility that if no wrongdoing is found, this venture could be considered a successful well-timed strategy, which could inadvertently solidify the reputation of Rentech. The podcast concludes with the potential impact this 'Meme Stock' saga might have on future regulations aimed at preventing market manipulation and protecting investors, acknowledging that increased participation of retail traders, prompted by social media, could influence stock market volatility and unconventional investment strategies. Sign up for our newsletter for more insights into market trends and get free trading books at quantlabs.net books.

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.

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.

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.

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.

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.

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 books2 - QUANTLABS.NET 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.

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!

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 books2 - QUANTLABS.NET 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. 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.

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.

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. Get your free technical trading books here books2 - QUANTLABS.NET 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. Get your free trading tech books here books2 - QUANTLABS.NET 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.

In this informative and thought-provoking episode, Brian from quantlabs.net discusses a significant topic pertaining to the future of Quant. He addresses a subreddit post regarding the inherent demand for quant in the next five to ten years. While highlighting the undeniable potential impact of AI on the growing industry, he also offers listeners invaluable advice, critical insights and answers to various comments from the online community. Brian contemplates on the matter of AI developing to replace many sectors, regardless of seniority, and further changing the landscape of Quant. Utilizing both ChatGPT and Google Gemini's latest version, Brian encourages users to employ AI to generate lucrative ideas and implementations. He responds to a comment suggesting domination by those with PhDs in statistics and physics, and shares his insights on the drastic influence AI will have on making markets more efficient. Moreover, Brian delves into further comments about the future of math PhDs in the industry. He dissects how AI influences the software engineering field and the potential implications for quant and modelling research. Brian ponders over a statement suggesting no need for quants in the future due to market efficiency and draws parallels with the SEO industry. The discussion further extends to the introduction of AI in markets and the resulting consequences for various sectors. Drawing the podcast to a close, Brian addresses several humorous and thought-provoking comments, leading back to the role of AI. He provides a fitting conclusion to the conversation about the future of quant, emphasizing both the potential opportunities and threats AI imposes. For individuals keen on learning more about the quant world, Brian points you to informative resources on quantlabs.net and invites you to engage in the discussion on their Discord server. Tune in for unique perspectives and valuable insights.

In this insightful episode, Brian from quantlabs.net reveals how to maximize your trading experiences using TraderPost.io and Interactive Brokers. This step-by-step guide covers setting up and connection processes, benefits of the platform, and how to deal with potential difficulties. From Interactive Brokers' unique single connection feature to TraderPost.io's automatic daily reset option, this episode provides all the need-to-know details. Learn how to set up confirmation via email for every trade, ensuring utmost security and peace of mind. In the latter part of the discussion, Brian simplifies TradingView's alert box setup with practical tips and addresses the common confusion between strategy definitions in TradingView and TraderPost.io. This segment is invaluable for anyone seeking to harness the full potential of these incredible platforms. The episode further delves into TraderPost.io's strategic code usage with Pinescript and its seamless integration with popular platforms like TradingView and Interactive Brokers. For safeguarding your transactions and mitigating risks, solutions are shared that are proven to be effective and reliable. Additionally, Brian unveils the future plans of TraderPost.io involving support integrations with renowned brokers such as Coinbase and Kraken. This episode not only offers tangible tips but also provides an adaptable outlook on trading techniques in relation to market changes. It is an essential listen for savvy investors and beginners alike who want to explore and excel in automated trading.

In this instructive video, Brian from SmallLabs.net provides a detailed walkthrough of TraderPost.io's back-end functionalities. This trading solution hosts a range of user-friendly features - from custom code support to Discord bot creation, and comprehensive live trading options. Get your free trading books at https://quantlabs.net/books/ One of TraderPost.io's most impressive features is its extensive webhook connectivity, enabling users with no programming knowledge to execute trades in supported platforms such as TradingView. Moreover, the platform supports a plethora of reputable live brokers, including Interactive Brokers, TradeStation, TD Ameritrade, and Coinbase, with more to come in the future. Prior podcast here Your Solution for Executing Trades with TradingPost.io - QUANTLABS.NET In this detailed discussion, Brian focuses on the importance of understanding the asset classes available, the associated costs, and selecting the correct account tier based on desired asset class. Explore the potential of trading three asset classes at a cost of $200 per month, and the restrictions linked with opting for a single asset class. Cryptocurrency trading is highlighted as a case study, with emphasis placed on the volatility of the asset class, and the options available for trading ETFs through Interactive Brokers. In addition, Brian speculates on the future inclusion of Bitcoin and Solana on the same platform. The video also delves into the benefits of employing TradingView's open-source strategy, providing viewers with a guide on selecting their preferred strategy, and utilizing the platform's extensive Pine script library. We also explore the challenges and potential solutions related to linking with the Trader Workstation (TWS), and connecting with Interactive Brokers via TradingPost.io's web portal. In regards to security, Brian discusses the risks associated with connecting to a broker via a public URL or webhook, while simultaneously highlighting how TraderPost.io mitigates such concerns by ensuring a secure connection with the chosen broker. Finally, dealing with the setbacks of high-frequency trading on TradingView and TradingPost.io is discussed, alongside advice on testing paper trading for Interactive Brokers and live trading on Coinbase. To conclude, viewers are invited to join the SmallLabs.net Discord group and email list, and are given a sneak peek into upcoming plans for a new website.

Join Brian of QuantLabs.net as he delves deep into the world of automated trading. In this podcast, he shares his insights into the limitations of TradingView's automated trading feature and discusses some alternative solutions. Discover how to work around these limitations and take your automated trading strategies to the next level. Brian also introduces tradingpost.io, a service that promises to simplify the process and make trading faster and easier. Throughout this podcast, Brian stresses the importance of fully understanding the vulnerabilities of any trading system. Whether it's the potential for hacking or unexpected trading hiccups, being aware of these issues is crucial for success. As he explores the services offered by tradingpost.io, he explains what makes this platform stand out in the world of automated trading. If you've wanted to streamline your trading process but didn't know where to start, this podcast could provide the insights you've been searching for. Brian also discusses the potential benefits and drawbacks of working with multiple brokers. With a platform like tradingpost.io, managing and monitoring trades across different accounts could become an easier task. Listeners also get a firsthand account of the types of programming required for such a system. Discover why Brian believes that traders could reap considerable advantages from integrating tradingpost.io into their trading strategies. Beyond automated trading and tradingpost.io, listeners can also expect to receive insights into the latest developments in AI, brokerage support, and more. With Brian's years of experience and technical expertise, this podcast promises to deliver valuable knowledge for any trader interested in automated trading.

In this podcast episode, Brian from Quantlabs.net shares his opinions on managing open source dependencies and software upgrades, with a focus on the amalgamation of AI and expert developers. He highlights the significant difficulties these tasks can pose, but also indicates potential solutions - notably artificial intelligence (AI) co-generation techniques. Further, Brian explores the concept of code generation, and its effectiveness in completing these arduous undertakings. He puts to the test various options regarding AI, including Google Gemini and Microsoft Copilot. He underscores the key aspect of how effective the AI model depends on how prompts are formulated, commonly referred to as "prompt engineering". He showcases the power and convenience of such AI models through concrete examples, notably an arbitrage script for gold assets. The conversation also covers the accessibility of different tools, their advantages, and potential drawbacks. Particularly, the constraints and complexities of open source software such as Lama 2 and Startcoder 2 are examined. Lastly, Brian opens the door to further discussions on tools for managing software upgrades and dependencies on his Discord channel and his Sub Stack. Join our Discord for quant trading and programming news https://discord.gg/k29hRUXdk2 GET OUR FREE TRADING TECH BOOKS HERE BOOKS2 – QUANTLABS.NET Know what I trade on my Substack Quantlabs Substack | Substack See more here Trader bryandowningqln — Trading Ideas & Charts — TradingView

Welcome to the latest episode of Brian from quantlabs.net's podcast. This discussion dives into the current debate concerning the regulation of artificial intelligence (AI) in the trading industry. Brian examines an article from risk.net which covers the concerns raised by market participants about the Monetary Futures Trading Commission's approach towards managing AI in trading. Jennifer Hahn, Chief Counsel and Head of Regulatory Affairs at Managed Funds Association, argues for leveraging the existing regulatory framework instead of developing redundant regulations. In the backdrop of the rise of web3 projects and state control over software development, Brian asks pertinent questions about the balance between upholding a free society and ensuring scams are mitigated against. Reflecting on the revolution AI has brought to trading and the risks associated with it, Brian's in-depth analysis explores how automation of trades and remote hosting of code could pose threats to not only markets but entire economies. Brian believes regulators have a role in countering systematic risks, particularly when it might threaten financial stability. Although the extent and process of regulation remain contentious. Drawing parallels from the military and banking sectors, he raises concerns about the seeming lack of regulation on AI in the trading operations of large companies. He calls for scrutiny of the practices of large trading entities like Citadel, Black Rock, and Vanguard. Wrapping up the episode, Brian invites his listeners to join discussions via the podcast as well as on platforms like Substack and TradingView. With his hard-hitting reflections on a topical issue, this podcast sparks profound thoughts on the intersection of AI, trading, and regulation.

In this riveting episode, we dive into the world of algorithmic trading with one of its pioneers - Robert Pardo. With decades of market analysis and strategy creation under his belt, Pardo is an expert high-performance trader, application professional, and the founder of Pardo & Company. A man of stellar reputation, his trading program XT99 Diversified has been recognized for its top-tier performance over and again. Robert Pardo, widely recognized as a trading industry titan, has been a consultant to prestigious trading firms such as Goldman Sachs and Daiwa Securities America. His groundbreaking efforts in the industry are unsurpassed, particularly his creation of Walk Forward Analysis - the gold standard in strategy validation. Get all links here What are Your Questions Algo Trading Legend - Robert Pardo - QUANTLABS.NET In this enlightening podcast episode, we offer the opportunity for our listeners to forward their pressing questions to this industry pundit by emailing us. Don't miss this chance to gain invaluable insights from an industry legend. Send us your questions, subscribe to our podcast to keep abreast of this impending interview, and join our discord server for engaging trading discourse. Also, get free trading book PDFs at quantlabs.net/books. Stay tuned as we have a new, advanced, and highly flexible website in the works that will provide a customized strategy integrating seamlessly with our current strategies and analysis. We are excited to bring you something truly special so watch this space!