Simplex Trading LLC’s Post

Get ready to transform your middle office at #FACTSETFOCUS! Don’t miss our practical presentation “Supercharging Your Middle Office with an Analytics Book of Record” with FactSet experts Eric Bailey, CFA, VP, Principal Analytics Specialist, and Shane O'Brien, CFA, Senior Multi-Asset Class Risk Specialist. Effectively leveraging a golden source of data across deliverables is of the utmost importance; discover how you can apply your locked-down data into downstream performance, reporting, and risk workflows. Get your tickets here: https://bit.ly/3NqWlK9 #r/evolution #innovation #GenAI

💡 Key Components: Algorithm Design: Crafting sets of rules dictating buy/sell decisions. Data Analysis: Leveraging historical and real-time data for market insights. Order Execution: Swift and automated trade execution. Risk Management: Implementing strategies to control potential losses. Backtesting: Evaluating algorithm performance using historical data. 🔍 Advantages: Speed and Efficiency: Executing trades at lightning speed. Emotion-Free Trading: Eliminating human emotions from decision-making. Precision and Consistency: Following predefined rules consistently. Diversification: Simultaneous execution across multiple markets. 24/7 Monitoring: Constant vigilance, even when human traders rest. 🌐 Why Algo Trading Matters: Algorithmic trading provides a competitive edge in financial markets, offering speed, precision, and automation. Whether you're a financial institution or an individual trader, understanding algo trading opens doors to new possibilities. 📈 Join the Conversation: Curious about algo trading or have experiences to share? Let's connect and dive into the dynamic world of algorithmic trading. #AlgorithmicTrading #Finance #TradingStrategies #TechnologyInFinance #MarketInsights 📊🤖

For most of my 50-plus-year career as a financial analyst, I have been told that stock prices follow this same random behavior. When I started in 1969, the die was already cast. Randomness was already an underlying rationale for Professor Harry Markowitz’s 17-year-old mean-variance passive-allocation methodology that still holds sway over most financial advisers. It held that since stock price direction was not determinable, the best result could be accomplished by mathematically achieved diversification between asset classes. #Finance #stockmarket #investing https://lnkd.in/eWy_3fMX

Get ready to dive deep into the realm of data management with Gavin Chan, SVP of Software Engineering at J.P. Morgan Chase Asset Management. The Power of Modern Data Management in Quant Finance Join us for an illuminating session where Gavin Chan will guide us through the evolution and profound impact of data management strategies within the quantitative finance sector. This session promises to be a journey of discovery, focusing on three crucial transformations reshaping the landscape: - Evolution from Traditional to Distributed Data Storage - Fast and Furious in Data Processing - Watchdog of Data Quality and Privacy This session isn't just about numbers; it's about unlocking the potential of modern data management techniques and understanding their strategic relevance across various industries. Act now to gain invaluable insights from Gavin Chan and discover the power of modern data management in shaping the future of quantitative finance and beyond. Reserve your spot now and join us for what promises to be a captivating exploration of data-driven innovation. https://lnkd.in/gwPeVAD4 #DataManagement #Innovation #GlobalCxOInstitute

At QuantJourney, our backtester is equipped with extensive parameters to tailor our strategies precisely. It already includes Volatility Risk Premium and Volatility Mean Reversion Strategies, utilizing machine learning models like RandomForest and XGBoost. Additionally, the Market Regime Analyzer and RiskManager employ techniques such as dynamic time series momentum and Kelly Criterion for precise risk management and market regime identification. We're developing an #intraday #backtester for precise 1-minute trading strategies, utilizing real-time data processing, circular buffer architecture, Timescale DB, and risk management. Subscribe for more: https://lnkd.in/dnE_qcy6 #QuantJourney #Backtesting #TradingStrategies #RiskManagement #Innovation #FinTech

#technology #NobelPrize Nice new website for the UIM Upstreet Investment Managers https://upstreet.in/. It uses the AI deep learning infrastructure from 2016-18 Hedgeloop developed where I was a part of the original founding team in Hyderabad, India as Chief Operating Officer (COO) and economist. The value is never predictable by any financial model, no matter what AI, because all values are true in the quantum world of physics independent of the distance and time dimensions or the fabric of space-time itself. But a target can be normatively achieved by human agency, human intelligence #hi rendering technology useless for prediction except only as a convenience for computational and communication purposes. #hi need not be aspired to artificially: Artificial General Intelligence #AGI is now a solved problem The Nobel Prize. The ethics must be worked out https://lnkd.in/eW4tJpgc (after this post, I unblocked Elon Musk on my Telegram in a separate post https://lnkd.in/eQfGrMpy). Meaning, as it is said in Future Studies, you can will and create the future you want but subject inviolably to the constraints of the destiny of population ecology and the cosmology you cannot control. The Jewish free will is always and inviolably subject to the constraint of the Hindu destiny. I took Yuval Noah Harari's Homo out. Deus. The Brahman.

🚀 Excited to dive into the future of finance at the Quant Convention 🌐💹 Learning from the best minds in the industry and exploring cutting-edge strategies to revolutionize trading. Stay tuned for insights and updates! 📈✨ #FinanceInnovation #TradingTech #EventHighlights

Thrilled to announce the completion of live project of Business Analytics, would like to extend my gratitude to Finlatics team for guiding me throughout the program. Analyzed derivative markets. Learned to assess instruments using factors like open interest and greeks. Gained insights into market sentiment and price movements. Project brought theory to life and deepened understanding of this complex financial area. #BusinessAnalytics #dataanalysis #BusinessIntelligence

I'm pleased to share that I've successfully completed the Bloomberg Financial Fundamentals course through the Bloomberg Terminal. This comprehensive program has deepened my understanding of key financial concepts, including the purpose of investing, various types of investment strategies, the balance between risk and reward, and the essentials of portfolio management. Through this course, I've gained valuable insights into how to apply these principles in real-world scenarios, enhancing my ability to analyse financial data and make informed investment decisions. I am excited to leverage this knowledge in a Quantitative Trading or Analyst role, where I can utilize data-driven strategies to optimize investment portfolios and drive successful trading outcomes. #Bloomberg #FinancialFundamentals #QuantitativeTrading #InvestmentStrategies #RiskManagement #PortfolioManagement #CareerGrowth #FinanceIndustry #DataDriven #ProfessionalDevelopment

2023 ended on a high note with Calcbench participating in some fun and informative events, including this one with Duke University. Thank you Marvin Chang for the invitation and Duke University - The Fuqua School of Business for continuing to be a great client. https://lnkd.in/eKVzfRka Look out for more events from Calcbench starting January 11th. #academics #fintech #dataanalytics #fundamentaldata #financialanalysis