Algorithmic Trading With Python - Automated Candle Pattern Backtesting in Python

Candle‑pattern strategy conditions in just three lines of Python: I backtest it across 7  years of multi‑asset data, reveal drawdowns and hand you the full notebook so you can tweak order‑expiry and holding‑period settings, rerun the simulation, and share your results. Download the full Python notebook below and try it with your data! ╔═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦══╦═╦═╦══╦═╦═╦══╦═╦═╦ 📘 Book available on Amazon (Algorithmic Trading Hands-On Approach Using Python): https://a.co/d/6woMBHt 💲 Algorithmic Trading Courses and Python for all levels (Udemy Sale Coupons): https://www.codetradingcafe.com/ Happy learning, happy coding ☕ ╚═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩ 🔔 Stay in the loop If you like deep-dive algo strategies with free, runnable code, hit Subscribe & click the bell. /// Got an idea we should test? Drop it in the comments—I feature viewer strategies if I like them :) \\\ *** Live trading bot example (video tutorial): https://youtu.be/WcfKaZL4vpA The python code and the data files are available for FREE at this link: https://drive.google.com/drive/folders/1QzdxpnjdjpQrlhKL-ARDq8fZTNcgti9W?usp=sharing #algorithmictrading , #pythontrading , #backtesting , #candlepatterns , #tradingstrategy , #algobot , #quantfinance , #stockmarket , #forextrading , #investing , #datascience , #pythoncode , #automatedtrading , #financialmarkets , #riskmanagement