Steemit Crypto Academy Contest / S20W4 [SUMMARY] : Algorithmic Trading with Moving Averages on Steem

Introduction

Hello Steemians,

Welcome to the fourth week of the "Algorithmic Trading with Moving Averages on STEEM" contest of the Steemit Crypto Academy, which is part of the Steemit Engagement Challenge (SEC) Season 20. From September 30 to October 6, 2024, we explored algorithmic trading techniques using moving averages, offering participants the opportunity to deepen their knowledge in technical analysis and develop effective trading strategies.

The use of moving averages in algorithmic trading is a proven method to identify market trends and make informed decisions. By combining different periods of moving averages, traders can detect crossovers and divergences that signal buying or selling opportunities. This week, participants were encouraged to apply these concepts to the STEEM market by developing custom algorithms to optimize their trading strategies.

Our participants demonstrated an in-depth understanding of moving averages and creatively integrated them into their analyses of the STEEM market. Their contributions reflect analytical rigor, strategic thinking, and a continuous commitment to learning—core values that the Steemit Crypto Academy strives to promote.

In this report, we will highlight key aspects of this week's contest, present the most innovative ideas shared by participants, and reflect on the overall quality of the submissions.

---

Participation Statistics

This week, we are pleased to report a total of 9 valid entries, demonstrating the growing interest and engagement within the crypto trading community. It is important to note that there was 1 invalid entry due to off-topic content, but no submissions were reported for plagiarism, which underscores the integrity and dedication of our participants.

Here is the detailed breakdown:

Total Number of Entries	Invalid Entries	Plagiarized Content
9	1	0

The absence of plagiarized content is commendable and demonstrates the collective understanding of the importance of academic integrity and producing original, high-quality content. We encourage all participants to continue on this path of excellence.

---

Performance Evaluation

The overall quality of submissions this week was excellent, with several participants standing out for their in-depth analysis and application of complex trading strategies. Here is the distribution of performance evaluations:

• Excellent (44.44%): 4 posts delivered exceptional content, demonstrating both theoretical understanding and practical application of the concepts.
• Good (33.33%): 3 posts showed a solid grasp of moving averages in algorithmic trading, with room for further improvements and innovations.
• Acceptable (11.11%): 1 post, while meeting the minimum requirements, could benefit from a more detailed approach and deeper analysis.
• Invalid (11.11%): 1 post was deemed off-topic and was not considered in the evaluation.

The quality of submissions has consistently improved, and we are delighted to see participants surpassing themselves week after week. The entries rated Excellent demonstrated a sophisticated use of moving averages to develop informed trading strategies. These participants illustrated the potential of using advanced tools to better navigate the complexities of the STEEM market.

_{Score Distribution}

_{Performance Distribution (%)}

The performance distribution shows that the majority of participants are producing strong, well-structured submissions. However, encouraging even deeper exploration of the concepts will help elevate the 'Good' category to 'Excellent' in future contests. We encourage participants to not only apply the theories but also to offer critical reflections on their strategies, discussing potential risks, alternative scenarios, and optimization techniques.

---

Top 5 Contributors

Each week, we recognize participants who stood out with exceptional submissions. These users not only demonstrated technical proficiency but also brought creativity and innovation to their analysis. Here are the top 5 performers this week:

Ranking	Username	Article	Score
1	@mohammadfaisal	Link	9.5/10
2	@stream4u	Link	9/10
3	@hamzayousafzai	Link	9/10
4	@luxalok	Link	9/10
5	@saintkelvin17	Link	8.75/10

These participants excelled in their ability to identify market opportunities using moving averages and successfully implemented algorithmic trading strategies to optimize their decisions. Notably, @mohammadfaisal achieved a score of 9.5/10, standing out for his detailed analysis and practical applications.

We encourage all participants to review these top submissions as examples of what can be achieved with dedication and a deep understanding of trading strategies.

---

Conclusion

The fourth week of Season 20 has been remarkable, filled with creativity, in-depth analyses, and significant contributions to the crypto trading community. Each participant brought their unique perspective to the contest, enriching the conversation around advanced trading strategies and encouraging thoughtful engagement with the complexities of the market.

Moving forward, we aim to foster even greater innovation and critical thinking while continuing to uphold the standards of originality and rigor that define the Steemit Crypto Academy.

We extend our sincere thanks to all participants for their efforts this week and look forward to seeing even more outstanding work in the upcoming challenges.

---

Stay tuned for more exciting competitions!