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Algorithmic Trading: Strategies for Optimizing Trade Execution
Practical examples and a case study using MATLAB’s recently released Transaction Cost Analysis (TCA) functions to help Portfolio Managers, Traders, and Analysts to develop strategies to reduce trading costs and better manage trading risk
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Algorithmic Trading: Strategies for Optimizing Trade Execution
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📈 Unlock the Power of Algorithmic Trading! 🚀 Here are 5 Key Steps to Build Winning Strategies: 1️⃣ Determine your trading strategy: Nail down your approach, whether it's based on technical indicators, fundamental analysis, or a combo of both. 2️⃣ Statistically analyze the strategy: Use quantitative methods to assess historical performance, identifying patterns, trends, and risks for the asset. 3️⃣ Code Development: Translate your strategy into executable code with languages like Python or C .
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