Python Engulfing Pattern Backtesting & Algorithmic Trading Optimization

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In this video, I demonstrate how to use Python to backtest and optimize an Engulfing Pattern trading strategy. I walk you through data collection, pattern detection functions, and an in-depth parameter tuning process using key metrics like Ratio, PF, and PFF.

Whether you’re new to algorithmic trading or a seasoned trader looking to refine your strategy, this tutorial will equip you with practical tools and insights for automated technical analysis. Subscribe to BacktestLAB for more advanced trading strategy tutorials!

00:00 Introduction
00:27 Why Backtest the Engulfing Pattern
00:54 What is the Engulfing Pattern and what to expect from this backtest
02:12 Collecting data
05:04 Candles and trend functions
11:03 Plot candles
11:46 Detecting engulfing signals
18:06 Check the success of signals
25:10 Evaluation metrics
27:10 Parameters tuning
31:01 Results
32:53 Summary & What to do next ?

#AlgorithmicTrading #Backtesting #PythonTrading #EngulfingPattern #QuantTrading #TradingStrategy #TechnicalAnalysis #DataScience #StockTrading #Investing #TradingAlgorithms #FinancialMarkets #QuantitativeTrading
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Can you give me the code ipynb in the video?

imadhanouar
visit shbcf.ru