Trading Strategy: The Algorithmic Strategies for Investing in Stocks Like a Genius; Understanding the Trade Forecasting System of the Stock Market
Trading Strategy: The Algorithmic Strategies for Investing in Stocks Like a Genius; Understanding the Trade Forecasting System of the Stock Market3,25 141 5 Scritto da: Matthew G. Carter Letto da: Cyrus Nilo
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You can become a successful trader. All you need to start is a capital for trading, time to learn how to do it and the winning trading strategies. This book will help you with the third requirement.
Trading securities can be extremely profitable if you know what you are doing. It could also be a fast way to lose a fortune if you don’t. This book will provide you with the knowledge you need to start trading in stocks. It will help you learn how you can manage your trading fund and how you can steadily build your portfolio.
The chapters of this audiobook contain the steps to learn how you can pick the right stocks. It will also teach you how to track these stocks to look for buying and selling signals.
The best traders in the market use multiple disciplines to achieve trading success. They do not depend on just one trick to make profit consistently. Instead, they adapt to the conditions of the market and use the appropriate strategies depending on these conditions.
If you want to succeed as a trader, you should also have the same mentality. This audiobook provides a holistic approach in teaching you how to trade. You will learn how to use market data as well as fundamental data from the company. Using both, your trading practice will increase your chances of success.
Here Is A Preview Of What You'll Read...
The Basics of Trading
Building your Circle of Competence
Using Market Data for Choosing Stocks
Transitioning to Technical Analysis
Learning About the Bull and the Bear Markets
Identifying Stocks that are About to Explode
Picking the Stocks that Nobody Wants
Common Beginner Mistakes when Trading
And much, much more!
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Più informazioniEditore: Author's Republic
Durata: 1H 3Min