Explore Algorithmic Trading in Crypto Exchanges vs Bitcoin ETFs

Quant Trading Live Report

Should You Algo Trade with a Real Crypto Exchange or a Bitcoin ETF Only? - QUANTLABS.NET

36:16

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about a year ago 20:51

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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?"

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!

148 episodes

#Tech #Trading #QuantLabs.net #Cryptocurrency #Business #Crypto Trading

Explore Algorithmic Trading in Crypto Exchanges vs Bitcoin ETFs

Quant Trading Live Report

87 subscribers

published about a year ago

MP3•Episode home

Get your free trading tech books books2 - QUANTLABS.NET

Should You Algo Trade with a Real Crypto Exchange or a Bitcoin ETF Only? - QUANTLABS.NET

Get your free trading tech books books2 - QUANTLABS.NET

Happy trading!

148 episodes

#Tech #Trading #QuantLabs.net #Cryptocurrency #Business #Crypto Trading

All episodes

Quant Trading Live Report

1
Understanding Risk Management in Banking and Financial Services 23:08

49 weeks ago23:08

23:08

G'day, everyone! Brian from quantlabs.net here. In today's episode, we dive into the intricate world of risk management within the banking and financial services sectors. We explore a detailed article from eFinanci Learn why TradingView is #1 platform to trade from LEARN | Quantlabs (quantlabsnet.com) Learn about the critical role of risk management professionals in preventing financial shocks and ensuring the stability of financial institutions. We also discuss the career paths, necessary skills, and educational qualifications needed for a successful career in risk management. Moreover, we delve into the compensation structure for risk management roles, highlighting the differences in salaries and bonuses between various ranks from analysts to managing directors. This episode is a must-listen for anyone interested in the financial industry or considering a career in risk management. Source is here What is Risk Management Services with QuantLabs (quantlabsnet.com) See the source here Join us as we navigate through the complexities of risk management and provide insights into how you can prepare and thrive in this essential field.…

Quant Trading Live Report

1
Breaking into Programming at Age of 50+: Tips and Realities 11:39

49 weeks ago11:39

11:39

In this episode, we delve into the challenges and opportunities for individuals aged 50 and above who are looking to break into the programming world, specifically focusing on learning C++. We explore a Reddit discussion from the CPP subreddit, where a 50-year-old aspiring programmer seeks advice on navigating this career transition. Learn why TradingView is #1 platform to trade from LEARN | Quantlabs ( quantlabsnet.com ) We discuss the difficulties of learning a complex language like C++ and the age-related biases in the tech industry. The conversation highlights the importance of building a strong portfolio to showcase your skills, especially when you lack formal experience. We also touch upon the evolving landscape of software development, with a shift towards cloud-based technologies and the persistence of legacy systems in mission-critical environments. See the source here Engineer Software Jobs: Learning C++ and Breaking into Tech After 50 (quantlabsnet.com) Additionally, we emphasize the need for continuous learning and the potential advantages of contributing to open-source projects. The episode provides practical advice on creating your own projects, branding yourself, and effectively communicating your skills to stand out in a competitive job market. Join us as we share insights and strategies to help older programmers navigate the tech industry, build their careers, and overcome age-related hurdles.…

Quant Trading Live Report

1
Unraveling the World of Quants: Roles, Skills, and Opportunities 1:01:53

50 weeks ago1:01:53

1:01:53

Welcome to today's episode, where Byyan dives deep into the fascinating world of quantitative analysts, commonly known as quants. It's June 19th, and we are exploring what quants do, the skills required, and how you can become one. This episode is based on an insightful article from eFinancialCareers.com titled "What Do Quants Do and How Do You Become One?" Unraveling World of #Quant Finance: Roles, Skills, and Opportunities #trading The world of Quantitative finance thrives on complex calculations, intricate models, and the ability to predict market behavior. https://www.quantlabsnet.com/post/unraveling-world-of-quantitative-finance-roles-skills-and-opportunities Quants play a crucial role in the finance sector, combining math and software engineering skills to create mathematical models for trading strategies, risk management, and financial products. We discuss various quant roles, from computational finance and economic analysis to portfolio management and statistical finance. Discover the best-paying locations for quant jobs, the importance of coding languages like C++ and Python, and the significance of prestigious institutions like Imperial College in London. Find out why TradingView is the #1 platform to build your algo trading business on We also delve into the evolving landscape of quant careers, the impact of AI and machine learning, and the potential career paths within fintech and traditional financial institutions. Whether you're an aspiring quant or simply curious about the field, this episode offers a comprehensive overview of the opportunities and challenges in quant finance. For more detailed insights, visit quantlabsnet.com and stay tuned for upcoming events and resources to help you navigate the high-paying world of quantitative finance.…

Quant Trading Live Report

1
Trading Tools Unveiled: Analyzing Market Competitors 13:18

50 weeks ago13:18

13:18

Hello, everybody. Brian here from quantlabs.net. Today is June 17th. In this episode, I delve into a competitor's service that simplifies technical analysis by turning complex data into actionable insights. Although I won't mention their name, I'll compare their offerings with mine, highlighting my unique advantages. This competitor boasts over 3,000 assets, but I can scan up to 60,000 supported by interactive brokers, including 30,000 US stocks and 1,000+ US-based ETFs. They offer custom indicators and 40+ reports, but I focus on avoiding overwhelming my users. While they provide an economic calendar and five years of data, I have decades of historical data. Their service includes intuitive reports and custom TradingView indicators, enabling live trading with odds on your side. However, I emphasize the importance of measuring volatility and timing, which they might overlook. Their pricing ranges from $40 to $200 per month, with varying levels of mentorship and support. Ultimately, while their marketing claims simplicity and institutional-level trading, I'm skeptical without seeing live trading accounts. Visit quantlabsnet.com for more information and stay tuned for our new offerings, including a mobile app.…

Quant Trading Live Report

1
Revolutionizing Financial Predictions with GPT-4: Hidden Gems and Ethical Quandaries 14:09

50 weeks ago14:09

14:09

Join Brian from QuantLabsNet.com as he delves into the revolutionary potential of the new generation of ChatGPT, focusing on GPT-4's application in the financial world. Recorded on June 16th, this episode explores how large language models (LLMs) are transforming data analysis in various fields, including economics and sports. Join us LEARN | Quantlabs (quantlabsnet.com) Brian discusses a fascinating study by researchers from the University of Chicago, who used GPT-4 to analyze financial statements of over 15,000 public corporations spanning from 1968 to 2021. The goal was to predict future earnings with surprising findings that GPT-4 achieved a 52% accuracy rate—comparable to traditional methods but with unique advantages in identifying outliers and hidden gems. The episode also touches on the limitations of machine learning in capturing market psychology, geopolitical events, and industry trends, emphasizing the irreplaceable value of human judgment. Ethical considerations in the financial industry are scrutinized, particularly the manipulative potential of advanced models and the questionable integrity of major financial institutions. Tune in to understand how LLMs like GPT-4 could revolutionize investment strategies, uncover hidden opportunities, and the ethical implications of these advancements in the ever-evolving financial landscape.…

Quant Trading Live Report

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Understanding the Perfect R-Squared: A Quant Interview Deep Dive 8:14

51 weeks ago8:14

8:14

Join Brian from Quantlabsnet.com as he delves into a thought-provoking quant interview question sourced from StackExchange. In this episode, recorded on June 12th, Brian breaks down the concept of R-squared (R2) and its significance in statistical models, particularly in the context of investing. Brian explains the definition and calculation of R-squared, emphasizing how a perfect R2 value of 1 indicates that all movements of a security are completely explained by an independent variable. He discusses the implications of a high R2 value and the potential pitfalls, such as spurious regression. The episode explores various responses to the interview question, including the irony of needing an expected value when you already know the outcome. Brian also covers practical considerations like trading fees and taxes that can affect real-world applications of these models. Whether you're preparing for a quant interview or just curious about advanced statistical measures in finance, this episode offers valuable insights. For more detailed discussions and resources, visit quantlabsnet.com.…

Quant Trading Live Report

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From Software Engineer to Quant Researcher: Navigating the Path 26:27

52 weeks ago26:27

26:27

Good day, everybody. Brian here from quantlabsnet.com. Let's dive into an essential article that sheds light on transitioning from software engineering to quant research, particularly within systematic hedge funds. A Guide for What Do Software Engineers Do To Enter Quant Systematic Hedge Funds (quantlabsnet.com) Published on June 4th by Durlston Partners, this insightful piece by Alex Jouawat addresses the challenges and opportunities for software engineers aiming to break into the high-stakes world of quant research. It emphasizes the importance of advanced academic training, particularly in physics, mathematics, and machine learning, and provides practical advice on further education and self-learning. Key takeaways include the need for a strong foundation in probability, linear algebra, calculus, and the ability to solve complex coding problems on platforms like LeetCode. The article also highlights the value of hands-on experience through open-source projects and competitions like Kaggle, and the importance of building a personal brand on platforms like GitHub and LinkedIn. Additionally, the article discusses alternative paths such as becoming a quant developer or focusing on algorithmic execution research, which leverages strong programming skills in low-latency systems and high-performance computing. For those committed to making this transition, the article provides a wealth of resources, including recommended reading materials and courses. It underscores the importance of networking, staying updated on industry trends, and seeking mentorship from experienced quants. Transitioning to a quant research role is challenging but achievable with dedication and the right approach. For more insights and resources, visit quantlabsnet.com.…

Quant Trading Live Report

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Six Ways to Detect a Failing Trading Strategy 7:40

52 weeks ago7:40

7:40

Join Bryan from QuantLabsNet.com as he delves into a fascinating discussion on identifying failing trading strategies with insights from BetterSystemTrader.com. In this episode, Brian explores the six key methods shared by Kevin Davey, including analyzing historical performance, using advanced statistical methods, understanding market conditions, and leveraging Monte Carlo simulations. Six Ways to Detect a Failing Trading Strategy (quantlabsnet.com) Discover how to assess your strategy's robustness through tools like ARIMA and understand the importance of different trading approaches such as trend-following and mean-reverting strategies. Brian also touches upon the significance of regime performance and adapting strategies in response to market changes. For more details, visit QuantLabsNet.com and check out the full interview on BetterSystemTrader.com. Stay informed with daily updates and explore high-level trading strategies through Brian's comprehensive video content.…

Quant Trading Live Report

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The Ultimate Guide to Simple Momentum Strategies and Market Analysis 16:56

52 weeks ago16:56

16:56

Welcome to a comprehensive episode where Brian from FontLabsNet.com delves into a series of insightful articles focusing on strategy, development, and allocation in the financial markets. This episode covers key topics such as macroeconomic analysis, technical indicators, and the efficacy of simple momentum strategies. LEARN | Quantlabs (quantlabsnet.com) Dive into Effective Trading Algorithms and Simple Momentum Strategies (quantlabsnet.com) In the first segment, we explore an article from PriceActionLab.com that highlights the use of simple technical indicators for tracking market momentum. Brian discusses how a 12-month moving average model has shown promising results, even outperforming more complex strategies in certain scenarios. The episode continues with a critical examination of why macroeconomic market analysts often dismiss other methods, particularly systematic trading. Brian shares his own experiences and insights, emphasizing the importance of both fundamental and technical analysis for market timing and selection. Next, we shift focus to a DIY trend-following asset allocation strategy from AlphaArchitect.com. Brian outlines the current exposure recommendations for various asset classes, including domestic and international equities, REITs, commodities, and bonds. He provides guidance on how to balance these allocations based on different risk profiles. The episode wraps up with a deep dive into mathematical modeling and spread calculations, featuring discussions from Quant.StackExchange.com. Brian addresses complex questions on modeling bid and ask processes and calculating spreads for trading strategies, offering practical advice for managing market noise and volatility. Tune in for a wealth of knowledge on market strategies, backed by real-world examples and expert analysis. Don't miss out on this informative episode that promises to enhance your understanding of market dynamics and trading methodologies.…

Quant Trading Live Report

1
Can Individual Quants Quants Make Money? Exploring Viability and Strategies 11:35

52 weeks ago11:35

11:35

Hello everybody, Brian here from QuantLabsNet.com. In this episode, we tackle a pressing question from quant.stackexchange.com: Can individual quants still make money nowadays? Join our new community at https://www.quantlabsnet.com/registration We delve into the complexities of competing with large firms, discuss viable strategies for independent quants, and explore industry trends. Learn about the smallest quant trading operations, the significance of high-frequency trading, and the potential of platforms like TradingView for independent traders. A Day in the Life of a Quant Researcher at Citadel Securities: Decoding the Algorithmic Magic (quantlabsnet.com) We also emphasize the importance of motivation, trading knowledge, and demonstrating a verified track record to attract recruiters and succeed as an independent quant. Don't miss this insightful discussion that could shape your trading journey! Visit our new domain at quantlabsnet.com and join the community we are building.…

Quant Trading Live Report

1
The Truth Behind Quant Interview Prep Programs 13:00

52 weeks ago13:00

13:00

Join Brian from quantlabs.net as he delves into a fascinating topic introduced by a helpful viewer: the world of quant interview preparation. Brian discusses a YouTube video from The Quant Guide channel, which features a mock interview for a 2024 Citadel Quant Training position. This episode is a must-listen for aspiring quants, especially those with strong backgrounds in programming, math, or physics. Join our new community at https://www.quantlabsnet.com/registration The video highlights the rigorous nature of quant interviews and the importance of having a deep understanding of math and probability. Brian scrutinizes the legitimacy of The Quant Guide's program, which promises to prepare candidates with over 500 real interview questions and detailed solutions. He raises concerns about the high price tag and the potential marketing tactics involved. Brian advises listeners to critically evaluate such programs and explore free resources like Reddit and LinkedIn. He emphasizes the importance of having a strong educational background and showcasing coding skills online to succeed in the highly competitive field of quantitative finance. Tune in to get an insightful take on whether these costly prep programs are worth the investment and how you can better prepare for a career as a quant.…

Quant Trading Live Report

1
How JPMorgan Measures Success: Insights from Investor Day 6:33

52 weeks ago6:33

6:33

In this episode, Bryan from quantlabsnet.com delves into a fascinating article from eFinancialCareers.com on how JPMorgan measures the success of its software engineers. Discover the metrics and methodologies JPMorgan employs to gauge productivity, including the importance of Agile practices and quick implementation of new features. Join our new community at https://www.quantlabsnet.com/registration Brian discusses the high expectations and pressure cooker environment within the financial sector, emphasizing the need for engineers to balance speed and safety in their work. Additionally, he shares insights on the evolving 24/7 market influenced by crypto and the critical role of safety and security in code management. Inside the JPMorgan Chase Careers Source Code Machine: How They Measure Software Engineer Success (quantlabsnet.com) Tune in to learn about the lucrative but demanding world of finance engineering and how you can thrive in it. For more information and to access the article, visit the new website at quantlabsnet.com.…

Quant Trading Live Report

1
A Day in the Life of a Quant Researcher at Citadel Securities 11:04

52 weeks ago11:04

11:04

Join Bryan from quantlabs.net.com as he delves into the intriguing world of a Quant Researcher at Citadel Securities in Miami. Discover the daily routine of Will Softhold, a PhD physicist from the University of Cambridge, who now thrives in the high-frequency trading (HFT) environment. Join our new community at https://www.quantlabsnet.com/registration From early morning swims to late-night coding sessions, this episode provides a detailed look at the challenges and rewards of working in one of the most prestigious financial firms. Learn about the importance of supervisory roles, the dynamics of team collaboration, and the critical role of systematic trading algorithms in the FX market. A Day in the Life of a Quant Researcher at Citadel Securities: Decoding the Algorithmic Magic (quantlabsnet.com) Whether you're an aspiring quant or just curious about the inner workings of finance, this episode offers valuable insights and practical advice. Tune in to understand what it takes to succeed in the fast-paced world of quantitative research.…

Quant Trading Live Report

1
Harnessing Volatility: Trading Insights from Rob Hanna 4:39

1 year ago4:39

4:39

Good day, everybody. Today is May 30th. This is now Bryan from quantlabsnet.com. Our platform is transitioning to a new web domain, and the previous one will be phased out within the next 30 days. Let's dive into an insightful article from Bettersystemtrader.com titled, A New Approach to Trading Volatility with Rob Hanna. The article highlights the inverse relationship between the VIX and the S&P 500, and how traders can use VIX signals to time their trades on the S&P 500. Interestingly, a similar inverse relationship exists between Bitcoin and the US dollar, providing another avenue for trading strategies. Another key point is that using the S&P 500 to time its own trades can be more effective than relying on the VIX. The article suggests that short-term indicators for the S&P 500 are better predictors of VIX movements. Additionally, traders might find value in using the S&P 500 to time the VIX, potentially reducing the length of drawdowns. For a deeper understanding, the article includes video clips explaining these concepts. If you're into algo trading, these insights could be particularly beneficial. To stay updated, visit quantlabs.net/book and join the email list.…

Quant Trading Live Report

1
Rust Revolution: Inside Dubai’s Secretive HFT Firm 8:24

1 year ago8:24