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Dozens of Python snippets for algorithmic trading. • Trading system development • Market data acquisition • Factor engineering • Backtesting Here's what's inside: The book takes you through transforming freely available market data into algorithmic trading strategies. Code for OpenBB, Nasdaq, ThetaData, ArcticDB, and Interactive Brokers. Grab your copy: https://lnkd.in/eK4idEr4

Mean-Reversion Trading Strategy Using the Ornstein-Uhlenbeck Process Mean-reversion strategies are popular in quantitative finance, particularly for trading assets that tend to revert to a long-term average over time. The Ornstein-Uhlenbeck (OU) process is a continuous-time stochastic process used to model mean-reverting behavior in financial markets. This guide will explore the Ornstein-Uhlenbeck process in detail, demonstrate its application in developing a mean-reversion trading strategy, and provide Python code for implementation and visualization. #MeanReversion #OrnsteinUhlenbeck #QuantitativeFinance #TradingStrategies #FinancialModeling #PythonProgramming #StochasticProcesses #RiskManagement #AlgorithmicTrading #FinanceWithPython

Exciting news! 🚀 Just wrapped up the Python for Trading course at Quantra! 🐍💼 From mastering data analysis to crafting algorithmic trading strategies, it's been an incredible journey. Ready to dive into the world of finance armed with these new skills! 📈💹 #PythonTradingMagic #QuantraSuccess #AlgorithmicGenius

You're invited! Webinar on "Exploring Options Volatility: Key Properties, Trading Strategies & Backtesting" 🗓️ Tuesday, July 16, 2024 ⏰ Join us, at 9:30 AM ET | 7:00 PM IST | 9:30 PM SGT In this session, you'll learn about: 🌟Properties of IV - Mean Reversion, Smile and Skew. 🌟Trading Volatility. 🌟Interactive Q&A. This webinar is a must for aspiring and professional traders, data scientists, financial technology enthusiasts, Python developers, and anyone interested in trading options. Register Now→ https://bit.ly/3LdQ5E3 Can't attend the webinar due to your time zone? Register anyway and we'll send you a recording later, so you can still gain valuable insights on Options Volatility at your convenience. #Quantra #Trading #Finance #Webinar #OptionsTrading #Volatility

7 of the best books on algorithmic trading with Python for quant finance. 1. Trading Evolved by Andreas Clenow 2. Algorithmic Trading with Interactive Brokers by Matthew Scarpino 3. Learn Algorithmic Trading by Sebastien Donadio and Sourav Ghosh 4. Algorithmic Trading with Python by Chris Conlan 5. Machine Learning for Algorithmic Trading by Stefan Jansen 6. Python for Algorithmic Trading by Yves Hilpisch 7. Hands-On Financial Trading with Python by Jiri Pik and Sourav Ghosh

On March 17, there was a 3-day pullback in SPY. It’s the first in 48 trading sessions. What if we went long every time that happened (ever)? Yesterday, 25,000 subscribers found out. TL;DR Average returns over 1, 5, 10, and 21 days were positive, with win rates of 69%, 82%, 82%, and 64%. It took about 20 lines of Python to analyze the strategy. Grab it here: https://lnkd.in/efNy_BbM

QSTrader: A backtesting framework for long-short equities and ETF based systematic trading strategies. Free on GitHub: QSTrader can be best described as a loosely-coupled collection of modules for carrying out end-to-end backtests with realistic trading mechanics. Grab it here: https://lnkd.in/eC5u2e4G Looking to start using Python for algorithmic trading? Here's a free Ultimate Guide with everything you need to get started. Join the 1,000s of people who finally started with Python after reading it: https://lnkd.in/eBARdCxx

🌟 Welcome to the Algo Trading Newsletter of June 2024! 🌟 Stay ahead in the fast-evolving world of algorithmic trading with this month’s edition, packed with insights and strategies to elevate your trading game. 📅 Webinar Alert: Don’t miss our free webinar on “Exploring Options Volatility” – a must-attend for traders, data scientists, and Python developers! Register here 👉 https://bit.ly/3VKbJVi 📖 Featured Reads: Discover the impact of open interest, the benefits of automated forex trading, and much more. Read now 👉 https://bit.ly/3XIytaQ 🎓 Quantra Classroom: Master trading options using machine learning, CPPI strategies, trend analysis with MACD, and gamma trading techniques. Learn more 👉 https://bit.ly/3XJvwXs 🔍 Join us as we uncover trends and tools to turn knowledge into actionable strategies for your trading success. Check out EPAT👉 https://bit.ly/3VOxeUO #AlgoTrading #Finance #Webinar #TradingStrategies #Python #MachineLearning #QuantInsti

Comprehensive Guide: Exploring Martingales and Their Applications Martingales are a central concept in probability theory and stochastic processes, playing a significant role in financial modeling. They represent a type of stochastic process that is particularly useful in modeling fair games, where the expected value of the process at any future time, given all past information, is equal to its current value. This property makes martingales indispensable in various financial applications, such as option pricing, risk management, and algorithmic trading. In this guide, we will explore the concept of martingales, their properties, and their applications in finance, along with Python implementations for better understanding and visualization. #Martingales #StochasticProcesses #QuantitativeFinance #FinancialModeling #RiskManagement #AlgorithmicTrading #GeometricBrownianMotion #DerivativePricing #EfficientMarketHypothesis #ProbabilityTheory #FinanceWithPython

Unlock Finance Efficiency with Python! Join us on February 21st for an impactful webinar in collaboration with CFA Society Vancouver, featuring Bogdan Tudose from Training The Street. Webinar Highlights: - Explore the world of Python and how it can revolutionize your daily processes in investment banking, advisory services, and public/private investments. - Dive deep into practical applications, including data aggregation, management, and analysis of client trades, web scraping for quick data sourcing, and creating powerful dashboards for better visualization and analysis. Why Attend? Transform manual tasks into efficient processes and revolutionize your finance toolkit. Details: - Date: February 21st - Time:12:30 p.m. - 1:30 p.m. - Register Now: https://lnkd.in/gB6VN8Uq Don't miss this chance to elevate your finance game in just 1 hour! #Python #Webinar #Productivity #Automation #DataAnalysis #PythonInFinance