Day Trading Mentorship For Amateur Traders: Technical Analysis Education Updated

The recently updated mentorship program teaches technical analysis, which is a useful skill when making stock picks. MIC members will learn this trading technique from professional traders who will not only explain the process to them but also help them apply this skill in real-life trades.

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The updated program helps beginner traders decipher the stock market’s historical data and price shifts. MIC states that one of the most common pitfalls of day traders is using emotion when trading. This is aggravated by various social media posts and influencers who skew the trader’s perspective on realistic trading. The online community advocates trading rationally and conservatively. Instead of treating the stock market like a gamble, they encourage traders to bank on small, constant wins that add up over time. This practice minimizes risk significantly, and traders can easily switch over to another stock without suffering dramatic losses.

MIC explains that technical analysis makes it easier to pick stocks that will perform well. It uses historical data and involves the analysis of stock prices and trade volumes over time. While this does not eliminate emotional or cognitive bias completely, it minimizes the chances of choosing a poorly-performing stock.

MIC members receive a daily blueprint that professional traders use to pick stocks. It uses technical analysis to plan price levels, entries, exits, and stops that the trader can use as a guide when making their stock picks. They can also talk to their mentors over chat, voice calls, and video conferencing to ask specific questions about particular stocks and trading strategies.

Aside from the mentorship program, MIC also has a podcast called MIC After Hours. They talk about trading and how the club’s methodical approach has helped newbie traders achieve their financial goals. In a recent episode, they featured a trader who was struggling to master the stock market for years. He said he learned how to choose stocks that were performing well by interpreting data and not relying on intuition and emotion.

More information is available at

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