Artificial Intelligence Finance IT Books

ARTIFICIAL INTELLIGENCE IN FINANCE: 7 things you should to know about the future of trading with proven strategies to predict options, stock and forex using Python, applied machine learning, Keras

Do you want to increase your trading thanks to the artificial intelligence?

Do you want to know how profitable are the best stock trading algorithms?

If so, keep reading: this bundle book is for you!

Today, thanks to computer programming and Python we can work with sophisticated machines that can study human behavior and identify underlying human behavioral patterns.

Approached properly artificial intelligence can predict effectively what products and services consumers are interested in.

Machine Learning has become an asset in finance: financial institutions are now evolving to technology companies rather than only staying occupied with just the financial aspects.

Is getting increasingly challenging for traditional traders, one or more of the astonishing and cutting-edge technology explained in this book, for example taken advantage of technology to analyze conversions and financial data.

You can also create various quantitative and algorithmic trading strategies or create a fully autonomous stock trading system using Python.

ARTIFICIAL INTELLIGENCE IN FINANCE will introduce you many selected tips and you will discover as a beginner the world of data science, machine learning and artificial intelligence applied to finance with step-by-step guides that will guide you during the code-writing learning process.

The following list is just a tiny fraction of what you will learn in this bundle


✅ Top 7 endorsed indicators of a successful investment

✅ The Bull & Bear Game

✅ Learn about the 3 best charts patterns to fluctuations of stock prices


✅ How your money should be invested and which trade is more profitable 

✅ Swing and Day trading proven indicators to learn investment timing

✅ The secret DAY trading strategies leading to a gain of $ 9,000  per month and more than $100,000 per year


✅ Introduction to some Python libraries like NumPy, Pandas, Matplotlib, Vba, SQL, R

✅ Build machine learning models for trading

✅ Describe the steps required to develop and test an ML-driven trading strategy.


✅ 3 Common Mistakes to Avoid when You Start Coding

✅ Importing Financial Data Into Python

✅ 7 Most effective Machine Learning Algorithms

Even if you have never written a programming code before, you will quickly grasp the basics thanks to visual charts and guidelines for coding.

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