Episodes
Friday Apr 12, 2024
AI, Expert Developers, and Open Source Dependencies
Friday Apr 12, 2024
Friday Apr 12, 2024
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
Wednesday Apr 10, 2024
Is It Necessary Or A Friction To Market Freedom?
Wednesday Apr 10, 2024
Wednesday Apr 10, 2024
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.
Tuesday Apr 02, 2024
What are Your Questions Algo Trading Legend - Robert Pardo
Tuesday Apr 02, 2024
Tuesday Apr 02, 2024
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!
Monday Apr 01, 2024
Exploring the Power of KDB+ for High-Frequency Trading and Data Analytics
Monday Apr 01, 2024
Monday Apr 01, 2024
This podcast by Brian from QuantLabs.net dives into the world of High-Frequency Trading (HFT) and the role of KDB+ in this domain.
-
KDB+: Developed by KX, KDB+ is a high-performance software used for data handling in HFT. It excels at working with large time-series datasets and is known for its:
- Efficiency
- Uncomplicated code structure
- Python integration
- Cloud interoperability
-
KDB+ and Ticker Plant: Ticker Plant can be used to feed data into KDB+, making it a popular combination for HFT applications.
-
Cost: A major barrier to entry for KDB+ is its high cost, estimated to be around $100,000 per year. This limits its use primarily to the well-funded fintech industry.
-
Future Potential: Despite the cost, KDB+ remains a dominant player due to its performance and features. Brian discusses the potential of KDB+ to evolve even further with advancements in technology and AI.
-
Call to Action: Brian invites listeners to join his Discord community to discuss KDB+ and related topics.
Exploring the Power of KDB+ for High-Frequency Trading and Data Analytics - QUANTLABS.NET
Welcome everyone, Brian from QuantLabs.net is here with another intriguing episode. In this episode, Brian dives deep into the world of High-Frequency Trading and advanced data analytics, emphasizing the role of KBD+ in it. Touching upon a previous episode of the podcast on the same topic, he delves into the intricacies of software like the Ticker Plant.
Brian explains that KDB+, produced by KX, is a high-standard enterprise-level software known for its efficient data handling capabilities. As he deconstructs the workings of this software, he highlights how Ticker Plant could write all incoming records to a log file, pushing all data to the RDP. This software, although widely unknown, is an industry standard.
The focus then shifts to the price aspect of KDB+, and the barriers it poses for widespread market adoption. Discussing a comment on Hacker News, Brian brings to light the exorbitant cost of KDB+, estimated at around a hundred thousand dollars per year. As per the comment, software is extremely lucrative and can only be afforded by the fintech industry.
Despite the cost, KDB+ comes highly praised. A comment Brian brings up highlights KDB+ as an elegant solution for running analytics on large data sets, especially those with time series. Known for its performance, uncomplicated code structure, Python integration, and cloud interoperability, KDB+ has been a dominant player in electronic trading analytics on Wall Street for over 20 years.
In conclusion, Brian discusses the potential of KDB+, which opens avenues for potential business opportunities. He emphasizes how innovations in technology and AI could lead to exploring beyond the limitations imposed by network cards. Following his exploration of KDB+ and its potential, he invites listeners to join his Discord community and actively engage in stimulating discussions.
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
Wednesday Mar 27, 2024
Navigating The Terrain of Quantitative Development
Wednesday Mar 27, 2024
Wednesday Mar 27, 2024
Dive into an insightful discussion with Brian from QuantLabs.net, as he takes us through the challenges and prerequisites of becoming a successful quant developer, the highly intriguing intersection of finance, math, and computer science. This episode is a comprehensive guide that unravels the essential skillsets, high-stakes industry expectations, and potential pathways for ambitious quant aspirants.
From mastering foundational knowledge in math and English, to proficient coding and impressive trading records, understand the key requirements to thrive in the industry, be it in major financial entities, startups, or small firms. Brian illuminates the rigorous educational prerequisites, emphasizing the need for a profound understanding of mathematical concepts, computer languages, financial markets and instruments, and risk and analytics management.
Understand the importance of participation in competitions, contributions to open-source projects, and showcasing coding abilities to enhance your career prospects. The podcast also conducts a comprehensive analysis of requisite tools such as Python, Excel, C++, MATLAB, FPGA, SQL, machine learning libraries like TensorFlow and PyTorch, and more. All while emphasizing the importance of soft skills, statistical model understanding, and prowess in programming and machine learning.
This illuminating examination concludes with a comparative analysis of quant developer’s salaries across various regions. From $118,000 in London to surprisingly lower figures in Canada and Singapore, discover the promising markets, factors affecting career moves, potential earnings, and prestigious firms like Citi and JP Morgan. Get insights into starting your own ventures, becoming a consultant, and resources for further learning. All this and more in this wide-ranging guide for aspiring quant developers!
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
Wednesday Mar 27, 2024
Exploring High-Frequency Trading and Data Processing with DPDK
Wednesday Mar 27, 2024
Wednesday Mar 27, 2024
Welcome to another episode of the Quantlabs podcast. In this episode, Brian delves into the exciting and ever-evolving world of Quant development as it applies to high-frequency trading (HFT). High-frequency trading is a complex and nuanced topic, but Brian brings it down to earth with practical insights and thoughtful commentary. He sheds light on the importance of retail trading bots, the innovative use of Discord and Telegram as trading platforms, and the rise of unique Cryptocurrency trading techniques.
Exploring High-Frequency Trading and Data Processing with DPDK - QUANTLABS.NET
One of the highlights of the episode is when Brian introduces us to the concept of Data Plane Development Kit (DPDK)—an intriguing open-source project that take centre stage in discussions around rapid packet processing. This segment not only clarifies what DPDK is and why it matters for high-frequency trading, but also explores the potential of using this library for high-speed data processing in large scale applications. A deep dive into the nuts and bolts of the open-source project, its licensing, users, functionality, and supported hardware follows.
The episode ends with an invitation for listeners to engage further on these topics via Discord or delving deeper with materials available on Substack. For those interested, Brian also generously offers access to free tech books he's written, available at quantlabs.net. This podcast provides a fountain of knowledge for anyone interested in the intersection of Quant development and high-frequency trading, regardless of their level of expertise.
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
Tuesday Mar 26, 2024
High-Frequency Trading Firms Hiring Video Game CEOs & Ex-Bank Directors
Tuesday Mar 26, 2024
Tuesday Mar 26, 2024
Hello, everybody. Brian here from swanlabs.net. On March 25th, an insightful article was shared with me via my usual source. The piece originated from eFinancialCareers.com and reveled in the surprising new hiring trend within high-frequency trading firms: recruiting video game CEOs and former UBS directors.
Usually, these wouldn't be the people you'd expect leading the charge in high-frequency trading, but from an executive standpoint, it can make a lot of sense. It's interesting to note that pathways into a hedge fund or high-frequency trading are not always straightforward.
An individual to highlight in this unique hiring trend is Heath Newton, who joined Susquana as a software engineer. Having spent nine years at Bloomberg and thirteen years as the CEO of independent game studio INOVAE, Heath offers an unconventional background to this financial niche. Another mover in this space is Domenico Mangieri, who's pathway into Jump Trading was a little more traditional - starting in finance with an AI firm Altair before joining UBS and Morgan Stanley.
I found this development quite fascinating - these unusual hiring patterns opens up more interesting ways to enter the high-frequency trading industry. So, stay tuned, and don't forget to pay attention to my links for Discord, Substack, and the books I have on offer. Have a good day!
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
efinancialcareers.com/news/high-frequency-trading-engineer-video-games-ubs
Tuesday Mar 26, 2024
A Deep Dive into Techniques, Tools, and Systems
Tuesday Mar 26, 2024
Tuesday Mar 26, 2024
Welcome to the latest episode of our podcast where host Brian from quantlabs.net speaks on the fascinating world of High Frequency Trading (HFT). A shout rests on his lips for his audience as he appreciates their unwavering support that's taken his podcast to new heights on both YouTube and various podcast networks. Brian retreats into the two areas his listeners crave - High Frequency Trading and Trading Systems.
Dive into the insights shared by Naveen Kumar Suppala, a Software Development Leader and Principal Global Quant, Research and Dev professional based out of India. Suppala brings to the table a series of articles filled with the golden nuggets of wisdom on key subjects such as the memory layout, HFT C++ core techniques, low latency programming, market order vs limit order backtesting, kernel bypassing in HFT, and more. A goldmine of valuable information awaits as we traverse through these various areas.
The journey doesn't stop here. Brace yourselves as we navigate through a Github repository filled with the intricate concepts of the Operating System (OS). Find out how some HFT shops customize the Linux kernel and build systems on top of these tailored operating systems. The repository covers diverse areas such as hardware basics, the layers involved in an OS, task scheduling, multitasking issues, synchronization objects, and much more aimed at enhancing your understanding of the OS nuances.
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
A call to action from Brian invites you to engage in insightful discussions over on his Discord channel, receive updates about his trading on Substack, and explore the trading books via quantlabs.net. Dive into the episode to amplify your knowledge on High Frequency Trading and Trading Systems!
A Deep Dive into Techniques, Tools, and Systems - QUANTLABS.NET
linkedin.com/in/naveensuppala/recent-activity/articles/
github.com/braboj/tutorial-os?tab=readme-ov-file#operating-systems
Tuesday Mar 26, 2024
Insights on "C++ High Performance for Financial Systems"
Tuesday Mar 26, 2024
Tuesday Mar 26, 2024
Hello everyone! In this episode, our host, Brian from quantlabs.net, dives into a discussion regarding the upcoming book, "C++ High Performance for Financial Systems," by Ariel Silihan. Throughout the podcast, Brian provides an overview of the book and shares his opinions about the chosen publisher, PACT.
The book promises to guide experienced programmers seeking to break into the finance industry by teaching them how to build high-performance trading systems. It covers subjects such as system design and architecture, low latency strategies, risk management, and machine learning. Although the author is highly capable, Brian presents some concerns about the publishing company's credibility as it has been criticized for its lack of editorial contribution.
Brian also talks about the inherent challenges in teaching these complex concepts through a book, given the rapidly evolving landscape of this field. He also provides some insights on what it takes to gain a real competitive edge beyond what one can learn from such books.
It's suggested that the book is primarily intended for experienced C++ developers looking to enter the finance industry and anyone interested in creating scalable, robust trading systems. Familiarity with C++, basic understanding of finance, and trading concepts is assumed for readers.
reddit.com/r/cpp/comments/1bjkkos/c_high_performance_for_financial_systems/?rdt=64280
amazon.ca/High-Performance-Financial-Systems-leveraging-ebook/
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
Although the helpfulness of the book is still to be determined, Brian extends an invitation to discuss the subject further in his Discord community. Listen to the podcast to get a full understanding of Brian's take on this upcoming release, and don't miss his recommendations for learning and trading!
Monday Mar 25, 2024
Systematic Strategies Shining
Monday Mar 25, 2024
Monday Mar 25, 2024
Welcome everyone to another episode with Brian from QuantLabs.net. Our topic today is the striking performance of systematic hedge funds in the first quarter of 2024. We delve into a recent article from Hedgeweek.com revealing their significant outperformance against other strategies under erratic markets triggered by geopolitical tensions.
These hedge funds, which use algorithms to find investment-worthy market trends, have seen a nearly 9% gain in the first two months, far surpassing the wider 2.6% average, drawing from data offered by Barclays Prime Brokerage Division. This observation aligns with our own analysis, which has identified particular sectors that have outperformed the S&P 500.
However, not all is smooth sailing, the current American market is heavily skewed, notably by NVIDIA. As we explore instruments to invest in, we emphasize prioritizing low volatility to avoid large drawdowns, which can jeopardize your performance. Hence, it is crucial to design a system that will enable you to find a consistent metric for your volatility threshold, ensuring you invest only into suitable instruments.
Despite the volatility of the global market, which impacts different regions and assets differently, the use of systematic strategies results in appreciable gains when greater risk is embraced. Nevertheless, even those funds with lower risk thresholds have also made substantial gains. Lastly, we stress the importance of not basing your trading on opinion or hunches, but on data and strategies instead.
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
To stay updated with my trading insights and engagement, feel free to join our Discord community, check out my Substock page, or sign up for our insightful newsletter. All of the details will be in the description. Thanks for tuning in!
Systematic Strategies Shining - QUANTLABS.NET
https://www.hedgeweek.com/systematic-hedge-funds-shine-in-q1/