
Title

Basic Python in Finance: How to Implement Financial Trading Strategies and Analysis using Python (Financial Data Analytics Using,Used
Delivery time: 8-12 business days (International)
Note: Thanks for all those who've purchased the book. The feedback for this book has been overwhelmingly positive. However, I do have to address a criticism from some customers, who are expecting advanced financial analysis. This book is titled 'Basic'; which means it is for those who are looking to implement Python for Basic Financial Analysis. The final chapter has a few advanced trading strategies, but the main purpose of this book is to get you started using Python for Financial Analysis.Are you looking to automate your trading strategy? Are you looking for a more efficient way of completing your financial analysis?Python is the answer.While looking to gain summarize our knowledge on the subject, we realized that there was a lot of information available in books and the internet. However, there seemed to be too much information. There were 500page textbooks on the subject that had very little practical use. They were pretty useless for beginners just like a dictionary is useless for anyone trying to learn a language. All these books had tons of theory with no stepbystep guide.There were a whole bunch of other blogs that had basic programming information with no relation to financial strategies.With this in mind, this book starts you off with a stepbystep guide to install Python on your computer; and plot/visualize relevant financial data. Later in the book, you can build on your basic knowledge to learn more about advanced financial analysis and trading strategies to move forward. This book is what youve been looking for.Heres Whats Included In this Book: 5 Reasons why Python is the best programming language for implementing financial trading strategies 4 Basic Trading Strategies for Success that most people have forgotten The Importance of Time Series Data in Trading Analysis StepbyStep Guide to Setting up your Python workspace How to Import Time Series Data from Global Databases into Python 4 Different Methods and Examples to Analyze Data with Python Pandas The Best Python Methods to Visualize Data to make Effective Decisions 4 Common Python Financial Analysis tools to decide which securities to invest in 5 Trading Strategies to forecast market trendsEven if you have never touched a computer in your life so far, you will gain a lot from this book.Scroll up and click Add to Cart now
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⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
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Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.
We accept payments with :
Visa, MasterCard, American Express, Paypal, Shopify Payments, Shop Pay and more.