The Scripts section on QuantConnectScripts.com offers many turn-key examples. You can copy-paste these into QuantConnect, run the scripts, and start playing, understanding and customizing for your own use.The provided code samples have been tested and will run successfully in QuantConnect.… Read More »How to use Sample Scripts
Quantitative trading uses mathematical models to make trading decisions. In modern finance, understanding these automated trading systems is crucial due to their impact on markets. This article clarifies ten common quant trading misconceptions, providing a clearer picture of what quantitative… Read More »10 Misconceptions About Quant Trading
The contrast between algorithmic trading and manual trading is stark. A considerable portion of manual traders face an uphill battle, with only about 1% achieving consistent profitability over multiple years. This striking statistic underscores the challenges inherent in traditional trading… Read More »Why Opt for Algorithmic Trading Over Manual Trading?
In the global financial markets, regime shifts represent pivotal moments that can redefine the playing field for investors. These shifts, often triggered by significant regulatory changes or macroeconomic events, can abruptly alter market dynamics, investment landscapes, and risk profiles. Understanding… Read More »Embracing Regime Shifts in Financial Markets
In quantitative trading, backtesting stands as a cornerstone process, enabling traders to evaluate the potential effectiveness of their strategies by applying them to historical data. Inspired by insights from “Quantitative Trading” by Ernest P. Chen, this article aims to shed… Read More »Backtesting Pitfalls in Quant Trading
In the domain of software engineering, the Software Development Life Cycle (SDLC) is a fundamental process that guides the creation of software products from inception to deployment and ongoing maintenance. This methodical approach ensures quality and compliance, critical for achieving… Read More »The Trading Strategy Development Life Cycle
Algorithmic trading, with its precision and efficiency, has revolutionized the investment strategies for Private Wealth Managers like wealth management firms and Family Offices. The secret to maximizing returns and minimizing risks in this digital finance landscape lies in mastering essential… Read More »Maximizing Returns: KPIs in Private Wealth Management
Introduction: The Psychological Landscape of Backtesting In algorithmic trading, backtesting stands as a cornerstone process, enabling traders and strategists to evaluate the potential success of their trading strategies based on historical data. Despite its critical role, the backtesting process is… Read More »Psychological Biases in Backtesting: Seeing What You Want to See
The Critical Role of Third-Party Analysis in Trading Strategy Success In the domain of algorithmic trading, the creation and evaluation of trading strategies through backtesting is a cornerstone of strategy development. This process, akin to quality assurance (QA) in software… Read More »Independent Backtesting: Lessons from Software Development
IntroductionIn the realm of trading, backtesting stands as a critical process that can significantly alter the trajectory of one’s investment strategy. It involves applying a trading strategy to historical market data to estimate how well the strategy would have performed… Read More »Strategy Backtesting Outcomes: Maximizing Trading Success