Podcasts about high frequency trading

Market Updates, Tariffs Overruling, and Economic Indicators In this episode of Dividend Cafe, Brian Szytel from the West Palm Beach, Florida office discusses the day's positive market movements and notable economic events. Key topics include the overruling of tariffs by the US International Trade Court, revisions to Q1 GDP, jobless claims, and pending home sales data. The episode also addresses questions about high-frequency trading and rising treasury yields, emphasizing the potential deflationary impact of global indebtedness and market dynamics. Brian provides insights into the factors affecting market volatility and offers a preview of upcoming inflation data. 00:00 Introduction and Market Overview 00:35 Impact of US Trade Court Ruling on Tariffs 01:41 Economic Indicators and Employment Data 03:01 High Frequency Trading and Market Volatility 03:46 Rising Treasury Yields and Global Debt 06:33 Conclusion and Upcoming Insights Links mentioned in this episode: DividendCafe.com TheBahnsenGroup.com

In this revealing episode, Jeff Malec sits down with Grant Jaffarian from Crabel Capital Management to dissect the current state of trend following. They explore the declining performance over the past 6 months, challenges in maintaining positive convexity, and the critical need for innovation. Grant offers candid insights into how trend following has evolved, why its sharpe ratios have decreased, and why he remains optimistic about its future. From discussing market execution nuances to quantum mechanics, this conversation provides a deep, unfiltered look at one of alternative investing's most intriguing strategies. Whether you're an investor, researcher, or market enthusiast, this episode offers a provocative examination of trend following's past, present, and potential future. SEND IT!Chapters:00:00-00:45=Intro00:46-08:19= Trend Following's in the Family: Exploring Grant Jaffarian's Background and experience08:20-21:44= The Algo Trade Execution Game: Navigating Latency, High-Frequency Trading, and Trend Following Strategies21:45-37:03= The Evolving Landscape of Trend Following: Analyzing Sharpe Ratios, Assets, and Market Changes37:04-47:24=Trend Following Under Pressure: Adapting to the Changing Dynamics of Positive Convexity47:25-01:02:04= Innovating Trend Following: Developing Dynamic Strategies for Market Adaptation01:02:05-01:14:07= Trend Following's Esoteric Markets: Expanding Beyond Traditional Boundaries01:14:08-01:23:13= Looking deeper into Quantum mechanics & Staying True to the StrategyFrom the episode:Salem Abraham on The Derivative PodcastTrend following whitepaperVaR controlled European Trend threadRoy Neiderhoffer on The Derivative PodcastFollow along with Grant on LinkedIn & X(Twitter) @GJaffarian and check out crabel's website at crabel.com for more information! Don't forget to subscribe to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Derivative⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, follow us on Twitter at⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@rcmAlts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and our host Jeff at⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@AttainCap2⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, or⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ , and⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠sign-up for our blog digest⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Disclaimer: This podcast is provided for informational purposes only and should not be relied upon as legal, business, or tax advice. All opinions expressed by podcast participants are solely their own opinions and do not necessarily reflect the opinions of RCM Alternatives, their affiliates, or companies featured. Due to industry regulations, participants on this podcast are instructed not to make specific trade recommendations, nor reference past or potential profits. And listeners are reminded that managed futures, commodity trading, and other alternative investments are complex and carry a risk of substantial losses. As such, they are not suitable for all investors. For more information, visit⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.rcmalternatives.com/disclaimer⁠

Bienvenidos a Salud Financiera. Un programa diario dónde puedes aprender y preguntar sobre finanzas personales y mercados financieros.En este episodio #246 te hago la introducción del libro Flash Boys de Michael Lewis y el impacto del High Frequency Trading en las bolsas mundiales. No te pierdas nada de nuestra comunidad: https://linktr.ee/misaludfinancieraCurso de ETFs disponible en https://go.hotmart.com/U91482169YCurso de Fondos disponible en https://hotmart.com/es/marketplace/pr...Puedes enviar tus preguntas al email preguntas.saludfinanciera@gmail.com o el teléfono 614239639.Enlaces de Interés- https://www.michaellewiswrites.com/#top- https://www.degiro.es/helpdesk/plataforma-de-trading/usar-la-plataforma-de-trading/que-es-smart-order-routing-sor - https://www.morganstanley.com/content/dam/msdotcom/en/assets/pdfs/sales_and_trading_disclosures/MS_US_Cash_Equity_Order_Handling_and_Routing_FAQs.pdf- https://www.slideserve.com/sanne/spread-networks-chicago-new-jersey-low-latency-route-powerpoint-ppt-presentationColaboradores del PodcastBit2Me: http://bit.ly/3Wjr4NB Recibe 15€ en Bitcoin con tu primera compraextraETF: https://bit.ly/extraetfUno de los Mejores Screeners de ETFs en EuropaCronología00:00 Introducción03:30 Reseña del libro Flash Boys10:00 Biografía de Michael Lewis14:50 Data Centers y Latencia en Estados Unidos26:30 Análisis del SOR de Morgan Stanley usada por DEGIRO

– Should we be worried about a weakening US dollar… and economy? – Here's how I plan to help my nephews invest… – Isn't $10k too much to put away for a newborn? – What are the costs and benefits of High Frequency Trading?See omnystudio.com/listener for privacy information.

High Frequency Trading in finance demands the utmost quality and speed from a network, making flawless observability a must. Our guest today is Radu Ionco from Jump Trading, and he tells us about how they built their own custom network observability platform, even creating a monitoring system for the monitoring system. We talk through streaming... Read more »

High Frequency Trading in finance demands the utmost quality and speed from a network, making flawless observability a must. Our guest today is Radu Ionco from Jump Trading, and he tells us about how they built their own custom network observability platform, even creating a monitoring system for the monitoring system. We talk through streaming... Read more »

High Frequency Trading in finance demands the utmost quality and speed from a network, making flawless observability a must. Our guest today is Radu Ionco from Jump Trading, and he tells us about how they built their own custom network observability platform, even creating a monitoring system for the monitoring system. We talk through streaming... Read more »

We dive deep into Delta DeFi, the revolutionary platform changing the way we think about DeFi trading. Learn about the key features of Delta DeFi, how it works, and why it's becoming a game-changer in the crypto world. Whether you're new to DeFi or a seasoned investor, this video will provide valuable insights and tips on how to maximize your earnings as a high-frequency trader.You can learn more about Delta DeFihttps://www.deltadefi.io/Join the community on the SIDAN LABS Discordhttps://discord.gg/upvwcHXPcKSIDAN Lab Fund 12 Catalyst Proposals https://projectcatalyst.sidan.io/Follow Hinson Wonghttps://www.linkedin.com/in/hinsonwong/https://github.com/sidanwhateverTimestamps00:00 Intro00:50 What is Delta DeFi05:15 What is Finality?07:49 Offchain Processing9:06 Non-custodial trading10:28 API layer12:41 Hurdles when Developing Delta DeFi16:57 Demo22:57 Not for novice traders24:39 Funding from Catalyst27:16 Hong Kong Cardano Community28:22 Final wordsAdditional Links Cardano Hong Konghttps://www.meetup.com/hong-kong-cardano/https://forum.cardano.org/t/a-night-in-hk-by-sidanlab-and-gimbalabs/129056MeshJShttps://meshjs.dev/ Easily build a Cardano powered website

Join Brian from quantlabs.net as he delves into the complexities of high-frequency trading (HFT) and provides valuable insights for software engineers aiming to transition into this competitive field. This episode covers the essential technical and trading concepts you need to grasp, from order books to matching engines, and explores the specialized knowledge required to excel in HFT firms. Get our free trading tech books books2 - QUANTLABS.NET Breaking into High-Frequency Trading: Essential Career Insights - QUANTLABS.NET Brian discusses the journey of transitioning into HFT, misconceptions about the field, and the key areas of expertise needed. Topics include order book dynamics, pricing engines, option pricing, and the intricacies of protocols like FIX. Additionally, he shares practical tips for impressing in interviews and thriving in the fast-paced environment of HFT shops. Don't miss this comprehensive guide to navigating the world of high-frequency trading and setting yourself up for success in one of the most lucrative sectors in finance.

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.

In this episode of Defire, join host Jonas as he chats with Anton Golub, from high-frequency trading to founding the pioneering crypto exchange, Lykke. Anton discusses his crypto journey, predicts a Bitcoin surge to $150,000, and explores the impact of social media and AI on branding. Tune in for insights into the future of crypto and tech.

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

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

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

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

In this episode, Brian from quantlabs.net explores a thought-provoking question posted by Maeve R. Ritz on quant.stackexchange.com. The query focused on the quantitative mechanisms behind identifying flow-based alphas during incredibly short lookout periods and their significance in the context of ultra-high-frequency lookout periods up to 100 milliseconds. Brian attempts to demystify this complex issue, primarily associated with high-frequency trading.   GET SOME FREE TRADING TECH BOOK PDFS HTTP://QUANTLABS.NET/BOOKS Join our Discord for quant trading and programming news https://discord.gg/k29hRUXdk2 Don't forget to subscribe to my Substack for more trading tips and strategies! Let's keep learning and growing together. https://quantlabs.substack.com/ A response from LaHal that garnered Brian's attention pointed to a 2019 paper he authored with Curls, Albert, titled "Incorporating Signals into Optimal Trading". The research revolves around employing specific signals for optimal trading and provides a wealth of statistical data. By incorporating calculations grounded in the imbalance sigma, the paper piques the interests of quant high-frequency trading modelers. As Brian navigates this mathematically dense paper, he sheds light on the dense collection of mathematical formulas and proofs. Although the level of mathematical proficiency required to comprehend the content is high, he finds the exercise profoundly enlightening. He invites listeners who can understand this level of mathematical intricacies to get in touch and share their insights. Join Brian as he continues to unravel the complex world of high-frequency trading in future discussions. He extends an invitation to join the Quant Labs Discord community and sub stack for more insights into his trading and investment choices. For those seeking technical trading books, visit quantlabs.net/books for two handy e-books packed with trade secrets and free software to help you decode the market in unique ways.   quant.stackexchange.com/questions/78631/what-are-some-quantitative-approaches-to-figure-out-flow-based-alphas-on-extreme   link.springer.com/article/10.1007/s00780-019-00382-7

Welcome to a fascinating discussion with Brian from Quantlabs.net. Recorded on March 3rd, 2024, Brian provides an insightful overview of his current focus on high-frequency trading (HFT) and quantitative trading strategies. The conversation also covers the interaction of these strategies with TradingView, an accessible, low-cost platform offering access to future market-level data.   Get your free trading tech book pdf books2 – QUANTLABS.NET   Join our Discord for quant trading and programming news https://discord.gg/k29hRUXdk2 One of the key issues highlighted by Brian is TradingView's use of PineScript, a scripting language that can pose a barrier to people unfamiliar with coding. However, he points out that accessing and learning from the over 100,000 scripts available via this platform can be an invaluable resource for those willing to delve into it. He discloses that these scripts may be reverse-engineered and applied to a live trading system using higher-level languages like C++, Java or Python, feeding into his broader mission of providing an automated trading solution not currently offered by TradingView. Brian then delves into the world of automated trading, elaborating on why TradingView does not directly support this method of trading due to challenges associated with regional regulations. By contrast, he offers a solution that uses TradingView data alongside a Python listener to generate signals, allowing for automated trading via brokers or crypto exchanges not supported by TradingView. My TradingView account is Trader bryandowningqln — Trading Ideas & Charts — TradingView Don't forget to subscribe to my Substack  for more trading tips and strategies! Let's keep learning and growing together. https://quantlabs.substack.com/   However, Brian is keen to highlight that this system does not fit the mold of true HFT, which would necessitate access to an exchange and hardware and software infrastructure that can cost thousands of dollars and only becomes economically viable for serious traders with sizeable trading accounts due to the high margin requirements. Subsequently, he indicates that the focus of his YouTube channel, QuantLabs, will center on topics such as trading strategies, programming techniques, and integration with Python, TradingView, C++ or Java. Brian also outlines his current campaign to diversify his reach across various platforms, such as Substack and his new Python Django-based website, driven by his focus on achieving maximum returns through social media platforms and generating more email opt-ins. Lastly, he addresses potential concerns associated with YouTube and their censorship rules by signaling his intention to explore alternative platforms while continuing to use YouTube for specific aspects of his outreach. You can join Brian's journey in automated trading and HFT by subscribing to his YouTube channel at QuantLabs, opting into his email list at Quantlabs.net/books or exploring his TradingView profile, Brian Downing QLN.

Welcome to another insightful episode of the QuantLabs.net podcast. This episode is about a fresh analysis and forecast on high-frequency trading with a special focus on Bitcoin. Dive deep into the tool used in this forecasting, which can also be utilized to help predict future reversal points for any commodity. The link to our live stream on TradingView and YouTube, where you'll learn how to use this approach in your trading is included in the podcast description.   Join our Discord for our quant and programming news! https://discord.gg/khnHKUqe Apart from tips and tricks of high-frequency trading, this episode also talks about the upcoming changes at QuantLabs. From plans for migration to Britain for tax benefits, to the release of a brand new Python, Django, custom-coded website, there's lots to look forward to. A significant reason behind the shift from WordPress is to improve the pace at which we deliver these invaluable analyses. Despite facing suppression from popular social media platform algorithms, our quest to provide quality content continues unabated. This growth story also depends on you, our listeners and we invite you to join us on our social channels and platforms. The link to our ever-growing Discord server is in the description. The podcast also includes an email for obtaining extra materials like free bonus PDFs. Bitcoin is Back! Join the Crypto Revolution Today! - QUANTLABS.NET GET YOUR FREE TRADING TECH BOOK PDF HERE BOOKS2 – QUANTLABS.NET As we clear out the old and ring in the new, we hope to provide more frequent and quality content through our website and various other channels. Primarily though, podcasts like these have proven to reach the widest audience base. So we thank you for lending an ear and urge you to stay tuned for future episodes. Let the games begin!

Come along for the strange world of HFT.    All of our wonderful links are here on the linktree: https://linktr.ee/allts   A nice description brought to you from AI:   High-frequency trading (HFT) is a type of algorithmic trading characterized by the use of powerful computers and sophisticated algorithms to execute a large number of orders at extremely high speeds. The goal of high-frequency trading is to take advantage of small price fluctuations in financial markets, often holding positions for a very short duration, ranging from milliseconds to microseconds. Key features of high-frequency trading include: Speed: HFT relies on the speed of execution. These systems can analyze market conditions and execute trades in fractions of a second, allowing them to react to market changes faster than human traders. Algorithmic Trading: HFT algorithms use complex mathematical models and statistical arbitrage strategies to identify and exploit short-term trading opportunities. These algorithms can analyze vast amounts of market data in real-time to make rapid trading decisions. Volume: HFT systems often execute a large number of orders in a short period, aiming to profit from the cumulative impact of these trades on stock prices. Low Latency: To achieve high speeds, HFT systems invest heavily in reducing latency, the time it takes for a trading system to receive market data, process it, and send out orders. This involves using high-performance hardware and co-locating servers in proximity to stock exchange data centers. Market Making: Some HFT firms act as market makers, continuously quoting buy and sell prices for financial instruments. They profit from the bid-ask spread and aim to capture small price movements. While high-frequency trading has been praised for improving market liquidity and efficiency, it has also been a subject of controversy. Critics argue that HFT can contribute to market instability, create unfair advantages for well-funded firms, and potentially lead to market manipulation. Regulatory bodies in various countries have implemented measures to address some of these concerns and ensure a fair and transparent market environment.

In this episode, we focus on algorithmic action and fairness.

Anant Jatia, the founder and CEO of Greenland Investment Management, joins Moritz Seibert for a commodities-focused conversation. In this episode, Anant explains how Greenland developed from currency market making to what today is predominantly an HFT-driven commodities arbitrage fund. Anant has a detailed understanding of the workings of physical commodity markets and focuses Greenland's trades on location and substation arbitrage trades. Moritz and Anant discuss several exemplary trades in detail, including sizing and portfolio implementation, and focus on the tail exposures which could materialize while the trade is active. This is a detailed and somewhat technical episode and a must-listen for anyone interested in commodities arbitrage trading.-----EXCEPTIONAL RESOURCE: Find Out How to Build a Safer & Better Performing Portfolio using this FREE NEW Portfolio Builder Tool-----Follow Niels on Twitter, LinkedIn, YouTube or via the TTU website.IT's TRUE ? – most CIO's read 50+ books each year – get your FREE copy of the Ultimate Guide to the Best Investment Books ever written here.And you can get a free copy of my latest book “The Many Flavors of Trend Following” here.Learn more about the Trend Barometer here.Send your questions to info@toptradersunplugged.comAnd please share this episode with a like-minded friend and leave an honest Rating & Review on iTunes or Spotify so more people can discover the podcast.Follow Moritz on Twitter.Follow Anant on LinkedInEpisode TimeStamps: 02:09 - Introduction to Anant Jatia06:39 - Anant's experience from working at AQR08:46 - How did Anant's firm evolve over time?10:44 - How difficult is High-Frequency Trading?14:33 - What is their current trading strategy?17:07 - An example of one of their trades21:17 - Staying away from the physical side23:33 - Tracking the market and executing trades27:18 - Managing the cost of trades29:58 - How did they get through the Covid19 period?34:37 - How many markets are...

Dan Trepanier is Chief Executive Officer at Arcadia Tractor Corp., who is building an autonomous vehicle for unstructured environment. Key topics in this conversation include: The challenges of field robotics Why ball picking at golf practice ranges present the perfect beachhead for Arcadia The importance of finding paid deployments and real-world learning opportunities, quickly An intro to entrepreneurial finance How Arcadia plans to grow and scale in the coming years Links: Show notes: http://brandonbartneck.com/futureofmobility/dantrepanier https://www.linkedin.com/in/dantrepanier/ https://www.arcadiatractor.com/ Bio Dan has 30 years of experience working in technology and finance. After earning his degree in Electrical Engineering from Queen's University (Kingston, Ontario), Dan worked in various technical and business roles including 6 years at Anadigics (NASDAQ:ANAD) where he last contributed as Director of Product Marketing. Dan was the founder and CEO of Quake Technologies, the market leader in 10 Gb/s Ethernet semiconductor technology. Through a challenging tech downturn, he led Quake to profitability and an eventual acquisition by Applied Micro Circuits Corporation (NASDAQ:AMCC). Dan joined Xambala as CEO and led a pivot away from fabless semiconductors to High Frequency Trading. Xambala became a leading market maker in U.S. Equities. Dan was part of NASDAQ's committee to revamp the Market Structure of the Opening and Closing Auctions. Xambala was acquired by Final, an Israel based trading firm. In 2018, Dan founded Trep Capital and joined the faculty at the Leavey School of Business at Santa Clara University where he has been teaching Data Science and Finance. Dan has played various leadership roles at the business school including as Faculty Director for the MS in Business Analytics and as Director of MS Programs where he led the MSBA, MS Finance, and MS in Information Systems programs. Dan established corporate partnerships to provide all MS students with industry-led practicum projects. Dan loves to play outside. You can catch him running or mountain biking on the trails of the Peninsula Open Space Preserves. When he's not on the trails, Dan enjoys spending time with his wife and three kids About Arcadia: Arcadia Tractor is enabling field robotics, one application at a time. Our all-electric tractors operate in unstructured environments. They are self-driving, self-charging, and self-learning. We build on each application to tackle greater complexity, add more value, and increase scale. Future of Mobility: The Future of Mobility podcast is focused on the development and implementation of safe, sustainable, effective, and accessible mobility solutions, with a spotlight on the people and technology advancing these fields. linkedin.com/in/brandonbartneck/ brandonbartneck.com/futureofmobility/

Gary K4AAQ begins reviewing the ARRL comments on RM 11953, the request to modify the HF side of Part 90 (commercial radio regs) to allow high power, wider bandwidth data to be used for “High Frequency Trading” on the various stock exchanges. The ARRL says this has a clear potential to create significant interference in the ham radio bands and for other HF users.After a bit, Ria N2RJ joins the show and, well, makes it more interesting. David W0DHG and Jim NO1PC have the week off. So we modify the name of the channel to Ria's HamRadioNow Shack just for this episode.

Mickey Balter is the CEO & Co-Founder of Oriient, an in-store navigation technology provider that offers hyper-accurate indoor positioning using the earth's magnetic field and built-in smartphone sensors. Mickey is a serial entrepreneur and a veteran of the Israeli semiconductor industry, with over 20 years of experience in combining deep technology to solve business challenges. Prior to founding Oriient, Mickey founded and led Scientra which developed the world's fastest High-Frequency Trading platform. Before that Mickey held senior leadership positions at Siverge Networks and Broadlight (acquired by Broadcom).   In this conversation we touch on: - The beginning of indoor GPS. - Practical applications of the technology, inside and outside large retailers. - The principles that guide the staff at Oriient. - The need for speed and the willingness to share. - The future vision for Oriient and its GPS tech.   Mickey started his career in the IDF's elite cyber-security unit. Mickey holds an MBA from Tel-Aviv University and a B.Sc. in Electrical Engineering from Technion - Israel Institute of Technology. Connect with Mickey: Website: https://www.oriient.me/ Social media: https://www.linkedin.com/company/oriient/   Mickey's LinkedIn: https://www.linkedin.com/in/balterm/   Connect with Allison: LinkedIn: https://www.linkedin.com/in/allisonsummerschicago/ Website: DisruptiveCEONation.com Twitter: @DisruptiveCEO    #futurist #CEO #startup #startupstory #founder #founderstory #business #businesspodcast #podcast         Learn more about your ad choices. Visit megaphone.fm/adchoices

This Flashback Friday is from episode 428, published last October 24, 2014. Jason talks a little a bit about what's going on in the world today and touches on some subjects like fusion fuel, cool apps, and more. Later in this podcast Jason interviews John Challenger about employment growth and what are some of the hotspots in the United States. John Challenger is an expert in global outplacement and career opportunities. He is the CEO of the Challenger, Gray & Christmas firm. The firm conducts regular surveys and reports about the current state of the economy, like layoffs, employment, and executive compensation. Key Takeaways: 5:58 Fusion fuel is much more efficient and safer in today's market.  9:06 Every problem we've encountered, we've been able to solve with bonuses! With all the technology that's going on today, it's a great time to be alive.  11:11 Jason loves the app called Fooducate. The app will scan the label and give you a grade as to how healthy the food product is and why. 15:56 High speed trading is illegal and should be considered as insider trading.  17:26 Jason Hartman is having a sale on his physical products. Check it out at http://www.jasonhartman.com 19:36 Trainees who are part of the Little Rock Tour will celebrate a turkey dinner with Jason on Saturday, Nov 22.  22:06 What areas of the country has good employment growth? Here's a clue - The Mid West.  25:26 Most of the job cuts we're seeing today are from mergers and acquisitions and not from companies generating low revenue.  30:11 There are so many jobs that don't need degrees.  35:26 The education industry is so overpriced in a world where students can just take their classes online. 38:11 There's some great robot technology going on. People are currently working on a robot to help minimize doctor mistakes.   40:36 We're making far more stuff with much less people.  42:26 What are some of the hot spots geographically? Illinois, California, New Jersey, Arizona, and more.    Follow Jason on TWITTER, INSTAGRAM & LINKEDIN Twitter.com/JasonHartmanROI Instagram.com/jasonhartman1/ Linkedin.com/in/jasonhartmaninvestor/ Call our Investment Counselors at: 1-800-HARTMAN (US) or visit: https://www.jasonhartman.com/ Free Class:  Easily get up to $250,000 in funding for real estate, business or anything else: http://JasonHartman.com/Fund CYA Protect Your Assets, Save Taxes & Estate Planning: http://JasonHartman.com/Protect Get wholesale real estate deals for investment or build a great business – Free Course: https://www.jasonhartman.com/deals Special Offer from Ron LeGrand: https://JasonHartman.com/Ron Free Mini-Book on Pandemic Investing: https://www.PandemicInvesting.com

Doug Colkitt is an ex-high frequency trader, ex-MEV bot searcher, and founder of the decentralized exchange CrocSwap. In this episode, we talk about all three.  We begin with high frequency trading, where Doug walks us through the differences between maker and taker strategies, why queue position is so critical for makers, and why volatility is a high frequency trader's best friend. We then discuss Ethereum-based MEV strategies.  Doug explains what MEV is, how the architecture of the Ethereum block chain allows it to exist, and a high level topology of the different types of MEV strategies that exist.  He also explains how the game theory behind MEV changed dramatically with the launch of Flashbots. Finally, we talk about his new decentralized exchange CrocSwap and its primary innovations, including dynamic fee levels, identification of toxic flow, and vaults that enable KYC. I hope you enjoy my conversation with Doug Colkitt.

In this episode, Rory speaks with Darren Gleeman, Managing Partner of MBO Ventures, to discuss Employee Stock Ownership Plans. Darren shares his journey, from developing a high-frequency trading platform used in 1% of equity trades today to now helping companies implement ESOPs. Listen as he discusses the beneficial tax treatment and why ESOPs are attractive to owners and employees of a corporation. Learn why the government views ESOPs as good public policy and how companies are leveraging them to increase retention rates. Do you want to know how a company can obtain tax-free income? Are you interested in how you can become an owner of the company you work for? Find out the answers to these questions and more in this ESOP episode with Darren Gleeman.

Active trading has come under fire as of late with the Robinhood and GME sagas. With the usual suspects for casting blame being High Frequency Trading and Payment for Order Flow. But is it fair to label PFOF as being bad for the retail trader? As we see today, the exact opposite is actually true.

Active trading has come under fire as of late with the Robinhood and GME sagas. With the usual suspects for casting blame being High Frequency Trading and Payment for Order Flow. But is it fair to label PFOF as being bad for the retail trader? As we see today, the exact opposite is actually true.

 Jordi is the Chief Investment Officer of Selini Capital, a digital assets investment firm, as well as an Angel investor and advisor to tech and crypto startups. He has competed at the highest levels of strategy games competitions and transitioned from professional poker into a successful career in High Frequency Trading.

In the past, I've had market expert Joe Saluzzi on this program to explain the huge but hidden world of high frequency trading algorithms, payment for order flow & dark exchanges. In general, they confer an unfair advantage to the institutions that wield them and oftentimes result in outcomes that impair the prospects of regular retail investors like you and me. Well, after years of seemingly turning a blind eye to their exploitation of our financial system, the SEC has just proposed a sweeping set of rule changes designed to better level the playing field. I've already lined up Joe to come back on Wealthion in early January to make sense of these proposed changes for us. Until that time, I thought it would be useful for us all to watch this replay of Joe's previous appearance on this channel, explaining how the current exploitative technologies & practices work. He does wonderful job of making a complex subject easy for the regular investor to understand. But be warned, his description of many of the current practices powerful Wall Street players use against little guys like us may make your blood boil. ************************************************* IMPORTANT NOTE: The information and opinions offered in this video by Wealthion or its interview guests are for educational purposes ONLY and should NOT be construed as personal financial advice. We strongly recommend that any potential decisions and actions you may take in your investment portfolio be conducted under the guidance and supervision of a quality professional financial advisor in good standing with the securities industry. When it comes to investing, past performance is no guarantee of future results. Any historical returns, expected returns, or probability projections may not reflect actual future performance. All investments involve risk and may result in partial or total loss.

Josh Younger is currently a managing director and global head of ALM research and strategy at JP Morgan, and previously spent over a decade as a senior market strategist focused on interest rate and money markets. Josh joins David on Macro Musings to discuss the current state of the Treasury market and various reforms that have recently been proposed for it. Specifically, Josh and David discuss the history and evolving structure of the Treasury market, the emergence of high frequency trading firms over the past decade, the factors behind the 2020 dash for cash, current stresses on the Treasury market, as well as potential reforms for the market going forward.   Transcript for the episode can be found here.   David's Twitter: @DavidBeckworth Follow us on Twitter: @Macro_Musings Click here for the latest Macro Musings episodes sent straight to your inbox!

Sath and I sit down with the genius Doug from CrocSwap to talk all things Dexs, market making, and DeFi innovation. CrocSwap is a soon-to-be-released Decentralized Exchange hoping to steal market share from the biggest players by offering both concentrated and ambient Uni V2 style liquidity. Doug discusses why this model is better for projects, traders, and price discovery alike. We discuss how CrocSwap thinks about High-Frequency Trading, Just in Time Liquidity, MEV, LPs as market makers, and more. Along with this innovation, CrocSwap tackles the problem of LPs rarely making money by implementing many unique, never-before-seen features to make LPs profitable again. Doug outlines why CrocSwap is the better pick for traders, projects, and LPs alike—and how their single contract build, unique liquidity structures, and new Dex features will change the game as we know it. This episode is filled with so much alpha on everything from what it means to be a trader, an LP, a Dex, and a protocol in DeFi. Don't sleep on this incredible episode.   If you enjoyed the episode, please subscribe, rate, and share so we can continue to get amazing, alpha dropping guests. We plan to release episodes bi-weekly, so don't sleep! Big thank you to Doug and Sath for taking the time out of their day to talk crypto with us. You can find them on Twitter @0xDoug and @Sathematical.  Feel free to tweet or message me @TheRogueItachi. You can find the pod on Twitter @GoodWillYunting As always, Yunt Hard, Yunt Fast, Yunt Capital.  Disclaimer: Nothing said on this podcast is advice or a solicitation to buy or sell any assets or tokens. We may, and often because we're passionate about the projects we bring on, hold investments in the project and even work in their communities. None of this is financial advice, please do your own research; this is a risky field. 

Rishi Narang of Hyperion Decimus joins Ash Bennington to break down how quantitative trading works in another fascinating episode of Building Blocks. Rishi details the structure of a quant investing model and shares the extraordinary career journey that led him to write his book “Black Box: A Simple Guide to Quantitative and High-Frequency Trading.” Learn more about your ad choices. Visit megaphone.fm/adchoices

High Frequency Trading by computers. LiquidNet & Dark Pools involved in computerized trading. NYSE New York Stock Exchange & Jeffrey Sprecher. eBay & ENRON --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app --- Send in a voice message: https://anchor.fm/bling-viera/message

Greg Tanaka is a computer scientist turned CEO of an AI company. He started coding when he was 6, studied computer science at UC Berkeley, and has built many machine learning applications, he is the the founder and CEO of Percolata developing ”Forecast as a Service”. He is also the council member of Palo Alto in California, and just finished his campaign for congress. Today we'll talk about his career journey, forecasting, machine learning in blockchain and political campaigns. If you enjoy the show, subscribe and give me a 5-star review. Follow Daliana on Twitter for more updates on data science and this show: https://twitter.com/DalianaLiu Greg's Linkedin: https://www.linkedin.com/in/gltanaka/, Twitter: https://twitter.com/GregTanaka

In this episode, we will talk about algorithms, what they are, how they work, and concerns they create once applied broadly and in scale across society.

Pim en Milou verwelkomen oude bekende Paul Wigt (optiehandelaar) terug in de studio voor een hoog-informatief gesprek over flitshandel. Hij legt uit hoe het werkt, en belangrijker: wat het ons oplevert. In de media heeft high frequency trading een slechte naam, maar Paul trekt ten strijde tegen ongeïnformeerde oordelen. Niet in de laatste plaats omdat we het bestaan van ETF's aan market makers te danken hebben.► Uitgebreide show notes en achtergrondinformatie: https://jongbeleggendepodcast.nl/99-high-frequency-trading-met-paul-wigt► Word Vriend: https://portfoliodividendtracker.com► Updates via Instagram: https://www.instagram.com/jongbeleggen► Mijn volledige portfolio: https://beta.portfoliodividendtracker.com/p/jongbeleggenDoor de toenemende populariteit van de podcast blijkt het echter onmogelijk om alle berichten te beantwoorden; hoe graag ik dat ook zou willen. Veel vragen die gemaild worden krijgen een antwoord in de podcast. De kans is heel groot dat jouw vraag al besproken is in één van alle afleveringen. Voor veelgestelde vragen verwijs ik je graag door naar de website, waar een pagina hiervoor is ingericht. Klik hier voor alle veelgestelde vragen.Deze podcast is 100% expertise-vrij en alleen geschikt voor amusementsdoeleinden. De inhoud mag niet worden beschouwd als financieel advies.Zie het privacybeleid op https://art19.com/privacy en de privacyverklaring van Californië op https://art19.com/privacy#do-not-sell-my-info.

Algorithmic Trading For Crypto Gains? Should You Use It? How powerful is it? In this episode, we talk about Algorithmic Trading and possible Gains that you might have from using it. Algorithmic Trading is nothing new in the crypto world. Coin Routes provide Algorithmic Trading for their users. Is there a difference between Algorithmic Trading and High-Frequency Trading? Sign up for Token Metrics at https://tokenmetrics.com Token Metrics Media LLC is a regular publication of information, analysis and commentary focused especially on blockchain technology and business, cryptocurrency, blockchain-based tokens, market trends, and trading strategies. Like the podcast to let us know you like the content! Podcast: https://tokenmetrics.com/podcast Blog: https://blog.tokenmetrics.com/ Forum: https://forum.tokenmetrics.com/ Follow us on social media below: Telegram Alerts Channel: https://t.me/TokenMetrics Telegram Discussion Group: https://t.me/TokenMetricsDiscussion Twitter: https://twitter.com/tokenmetricsinc Instagram: https://instagram.com/tokenmetrics Facebook: https://facebook.com/tokenmetrics Token Metrics Media LLC does not provide individually tailored investment advice and does not take a subscriber's or anyone's personal circumstances into consideration when discussing investments; nor is Token Metrics Media LLC, registered as an investment adviser or broker-dealer in any jurisdiction. Information contained herein is not an offer or solicitation to buy, hold, or sell any security. The Token Metrics Media LLC team has advised and invested in many blockchain companies. A complete list of their advisory roles and current holdings can be viewed here: tokenmetrics.com/disclosures. #algorithmictrading #portfoliogains #cryptotrading 0:00-0:36 Intro 0:37-4:15 CoinRoutes and Algorithmic Trading 4:16-8:28 Begining of Crypto Story 8:29-13:10 Difference between Algorithmic Trading and High Frequency Trading 13:11-16:01 Washington Hates Crypto? 16:02-18:07 What everybody gets wrong in crypto? 18:08-19:23 Rest of 2022 for CoinRounds

Algorithmic Trading For Crypto Gains? Should You Use It? How powerful is it? In this episode, we talk about Algorithmic Trading and possible Gains that you might have from using it. Algorithmic Trading is nothing new in the crypto world. Coin Routes provide Algorithmic Trading for their users. Is there a difference between Algorithmic Trading and High-Frequency Trading? Sign up for Token Metrics at https://tokenmetrics.com Token Metrics Media LLC is a regular publication of information, analysis and commentary focused especially on blockchain technology and business, cryptocurrency, blockchain-based tokens, market trends, and trading strategies. Like the podcast to let us know you like the content! Podcast: https://tokenmetrics.com/podcast Blog: https://blog.tokenmetrics.com/ Forum: https://forum.tokenmetrics.com/ Follow us on social media below: Telegram Alerts Channel: https://t.me/TokenMetrics Telegram Discussion Group: https://t.me/TokenMetricsDiscussion Twitter: https://twitter.com/tokenmetricsinc Instagram: https://instagram.com/tokenmetrics Facebook: https://facebook.com/tokenmetrics Token Metrics Media LLC does not provide individually tailored investment advice and does not take a subscriber's or anyone's personal circumstances into consideration when discussing investments; nor is Token Metrics Media LLC, registered as an investment adviser or broker-dealer in any jurisdiction. Information contained herein is not an offer or solicitation to buy, hold, or sell any security. The Token Metrics Media LLC team has advised and invested in many blockchain companies. A complete list of their advisory roles and current holdings can be viewed here: tokenmetrics.com/disclosures. #algorithmictrading #portfoliogains #cryptotrading 0:00-0:36 Intro 0:37-4:15 CoinRoutes and Algorithmic Trading 4:16-8:28 Begining of Crypto Story 8:29-13:10 Difference between Algorithmic Trading and High Frequency Trading 13:11-16:01 Washington Hates Crypto? 16:02-18:07 What everybody gets wrong in crypto? 18:08-19:23 Rest of 2022 for CoinRounds

Rasa Karapandza is a Professor of Finance, Vice Dean of Education, and the Academic Director of the Master in Finance Program at EBS Business School in Germany. He is also a visiting Professor at New York University. He was previously also visiting scholar at UC Berkeley. Additionally, Rasa is a Member of the board of directors and member of the audit committee of RS2, a payment processing company. The general focus of Rasa's research is investments, empirical asset pricing, and portfolio management. He advised members of the US congress on the topics of regulating cryptocurrencies Rasa received his PhD in Economics and Finance from Graduate School of Economics Barcelona (summa cum laude). He holds a Masters degree in Economics and Finance from University Pompeu Fabra and a Bachelors degree in Astrophysics from the University of Belgrade.   In this episode we cover a lot of ground. We get into Rasa's research about empirical asset pricing aka trying to predict future asset prices. We talk about how he utilises machine learning and language processing methods to extract sentiment from public news sources. We then speak about the controversial topics of High Frequency Trading and Payment for order flow. We cover cryptocurrencies and Rasa debunks some myths about blockchain. Rasa shares insights into his past and encouragements he wants to give to students.

Network design for high frequency trading and big data networks is the topic of today's Heavy Networking. If you're interested in what it's like to carefully manage data center latency and maintain your sanity in a zero downtime environment, this is your show. Our guests are are Jeremy Filliben and Marc Washco of Jump Trading.

Network design for high frequency trading and big data networks is the topic of today's Heavy Networking. If you're interested in what it's like to carefully manage data center latency and maintain your sanity in a zero downtime environment, this is your show. Our guests are are Jeremy Filliben and Marc Washco of Jump Trading.

Network design for high frequency trading and big data networks is the topic of today's Heavy Networking. If you're interested in what it's like to carefully manage data center latency and maintain your sanity in a zero downtime environment, this is your show. Our guests are are Jeremy Filliben and Marc Washco of Jump Trading. The post Heavy Networking 620: High Frequency Trading And Big Data Network Design appeared first on Packet Pushers.

Network design for high frequency trading and big data networks is the topic of today's Heavy Networking. If you're interested in what it's like to carefully manage data center latency and maintain your sanity in a zero downtime environment, this is your show. Our guests are are Jeremy Filliben and Marc Washco of Jump Trading.

Henri Arslanian and Michael Ourabah  (CEO of BSO) share an in-depth discussion on the role of HFT and market making firms in the healthy development of the crypto industry. The pair also discusses the gaps in the current infrastructure behind crypto exchanges and what is needed to increase institutional investor activity. This episode is ideal for anyone interested in the future of crypto markets and crypto trading.

John Shim is an Assistant Professor of Finance at the University of Notre Dame. His research focuses on empirical asset pricing, market microstructure, and financial market design. His work on high-frequency trading and the design of stock exchanges has been featured in Bloomberg, the Financial Times, the Economist, and has been discussed by the SEC Chair and the New York Attorney General. He received his B.S. from the University of Illinois at Urbana-Champaign and his MBA and PhD from the University of Chicago Booth School of Business. John's paper on the High-Frequency Arm's Race was published in one of the best economics journals in the world. Music sampled from Mos Def - Speed Law

Immigrants and refugees are a net economic benefit to host countries like the United States. Research has consistently shown they help create jobs and add an important dynamism to our economy. This is the case even when there is initial investment on behalf of the state, through education, English classes or welfare. Immigrants pay more into the system than they get out. For Christina Qi... Source

Richard Duan is an expert on algorithms and high frequency trading. He was a finalist in Chinese Olympic Competitions of Mathematics, Physics and Optics and he's way too smart for this show.

In the latest Platts Future Energy podcast, Janjoost Jullens, Energy Lead at the at the Blocklab innovation lab in the Netherlands, and James Rilett, Senior Director of Innovation at S&P Global Platts, tell Henry Edwardes-Evans about Platts AI trading platform Distro. Rotterdam's blockchain-based microgrid has driven user costs down 11% and producer returns up 14% - now its developers are looking to extend its reach within the port and roll the system out elsewhere.