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Master Trading with Technical Analysis. Trade Bitcoin with My Professional Trading Strategies in 2021
Updated on Sep, 2026
Finance and Accounting, Cryptocurrency and Blockchain, Cryptocurrency
Duration - 14.5 hours
Training 5 or more people ?
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Let me give you a few facts:
All traders start with the dream to get rich quick
40% trade only for one month
80% quit within the first 2 years
Only 7% remain after 5 years
1% of all traders can profit net of fees
What does that all mean?
It means that only 1% of the people in this business are actually making money... Picture this data as a pyramid. At the top of the pyramid is this 1% and all the people below (99%) are actually losing money. The 1% on the top are not there by accident. They invested a lot of time and capital to master this skill. Trading is NOT a "get rich quick opportunity" ... this is a LIE that is being used because it SELLS. Everyone searches for the easy and fast success without efforts so salesmen are very aware of that fact so this is why they use it. Trading is actually a get poor quickly opportunity for most of the people!
Are you losing money in the markets ? Are you tired of that? In learning to trade we all pay, some pay teachers to cut down the learning curve and most pay far more in losses by attempting to learn on their own. Do you want to learn how to Trade like the top 1% do? You cannot use tools/techniques/strategies invented decades ago in the same way that most people are using it today and to expect the market to Reward that!
In this course I will teach you how to Trade with an edge! This is what the top 1% are doing. They simply have an edge!
Data analysis and modelling process
Setting up Python data analysis and modelling environment
Rename the data columns
Data slicing, sorting, filtering, and grouping data
Missing value detection and imputation
Outlier detection and treatment
Correlation Analysis and feature selection
Splitting data set for model fitting and testing
Data normalization with different methods
Developing a classic statistical linear regression model
Developing a machine linear regression model
interpreting the model results
Improving the models
Evaluating the models
Visualizing the model results
Basic Python language knowledge needed to understand the codes
Check out the detailed breakdown of what’s inside the course
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