Last updated 01/2023Duration: 49m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 671 MBGenre: eLearning | Language: English[CC]

Top hedge fund investing strats to use them to your advantage without the need for a large trading account

What you'll learn

How to use hedge fund strats in your own investing journey

How to calculate effective entry and exit signals using publicly available resources

How to use ATR and LRR models to predict potential market movements

How to use KNN Machine Learning to predict potential market movements

Understanding market edges and how to use them to your benefit

Requirements

A Trading Account

Google Sheets Access

Description

Would you like to invest in the stock market the way Hedge Funds do?

In this course, you'll learn about a few effective hedge fund strats that are used to be ahead of most of the market in finding opportunities and detecting trends earlier than anyone else.

You're going to learn about effective entry and exit strats such as the Volume and Demand model, or volume-based models like Average True Range to find the best entry and exit on any frame.

On the advanced side, you'll learn about the formula edge, how to keep your edge in an ever-chag market, and KNN machine learning to take your investing game to the next level by predicting the market movement based on past percentage movement and similar candle sticks.

All of these advanced hedge fund strategy lessons come with access to free resources and links to help you put them to work as easily and fast as possible without prior knowledge of programming or market experience.

These strats can be used to improve your results significantly in day trading, swing trading, and long-term investments and can be done from your phone or computer with ease.

Ready to take your stock market trading and investing game to the next level? See you inside!

Who this course is for

People interested in high level hedge fund trading strats

People who want to learn about the smart money strats and models