Crypto Academy / S6W4 - Homework Summary - Crypto Trading Strategy with Triangular Moving Average (TRIMA) Indicator

The fourth week in season 6 of the Steemit Crypto Academy has ended, it's been a great journey so far. I will be making a summary of how things went in the homework task associated with the lecture "Crypto Trading Strategy with Triangular Moving Average (TRIMA) Indicator". Let's ride together on this.

In the lecture, we highlighted how resourceful moving averages are in the technical analysis realm and being a lagging indicator that considers the past price histories, it's associated with lagging effects which makes it not too efficient for price prediction in technical analysis of crypto assets. We have seen a lot of developments of moving averages like EMA, WMA, TEMA, and so on, all aimed at improving the work of moving averages.

TRIMA can be seen to be a development on top of the Simple moving average (SMA) which is its oscillating line indication on the chart is the double-average of the price at certain periods under consideration, as such it gives a double-smoothen effect on the chart to eliminate the quick reaction to slight price movements in SMA, thereby making TRIMA a more suitable indicator for trend identification and delayed reaction to price in the highly volatile crypto market.

In this section of the summary, I will highlight a few observations extracted from the homework task entries received for the lecture and a few corrections would also be attached alongside.

Many participants have given the expression for calculating TRIMA, it's actually a simple formula. The question seeks to see users maybe assume prices for certain periods, calculate the SMA and use the result to show your knowledge of how TRIMA is calculated. That simple action would have made a difference in many entries because the question asks you to give an illustrative example. Pay attention to questions subsequently.

In the lecture, I have taught a strategy on how to utilize crossovers between two TRIMAs in combination with RSI. Some entries have taken overbought from a far period even when there was a closer oversold, and vice versa. In addition, some entries have placed their stop loss levels just below the crossover, this is because the market has moved a bit from the crossover before you placed your entries.

You should aim at identifying a new crossover, that's why the criteria says, in an uptrend/downtrend or consolidating market, wait for a crossover, this would enable a trader to place early and valid entries. Kindly take note.

I will be predominantly talking about proofreading in this section, a lot of great articles failed to do at least one more round of proofreading which could have helped to eliminate typo errors and other expression mistakes, in that case, users would have earned the full mark in that section of the task. I hope everyone can pay attention to this in their future works in the Academy.

Not all articles received got the full mark for this section as many entries look like they are limited to reading the lecture alone without making extra effort to read more about the topic outside the lecture. If you are in that category, work on your originality. In addition, it's pathetic some users go to the Internet and have their content written word for word in many paragraphs, this is a bad practice and not healthy for the Steem ecosystem. We won't stop fishing out plagiarism in the Academy and other communities on Steem.

For the fourth week of season 6 in Steemit Crypto Academy under the lecture "Crypto Trading Strategy with Triangular Moving Average (TRIMA) Indicator" received a total of 51 homework task entries and all were attended to as quickly as possible, within the 48hrs time frame. See the performance of the entries received in the table below.

Excellent represents grades within 9 - 10, Very Good for grades within 8 - 8.9, Good for grades within 6 - 7.9, Average for grades within 5 - 5.9, Below Average for grades below 5, Plagiarized are the contents that are found to have been copied from another source without proper reference. For last week that has just been concluded, 2 entries were below average, no invalid entry and 3 cases of plagiarism was received as the involved students have used others (students/internet) content/graphics and presented it as theirs.

The homework task associated with the lecture received some great articles with some having just a little difference in performance. Out of the total entries, I found the following articles to take the top 3 spots.

In conclusion, it's a fruitful week of learning, the participations received are great ones and it was only 10% of the total participants that was able to make it to the excellent level. A lot of entries lost a few marks by not paying full attention to the questions and I will advise all students to work towards that subsequently.

I sincerely appreciate students' participation and I hope they will keep improving in the crypto ecosystem. I will also like to use this time to further make emphasize the need why users should desist from any form of plagiarism, you may just be risking being blacklisted from the Academy. Also, students that scored low grades can come back stronger, stay focused. I look forward to seeing more from you all. Thank you.