In the intricate dynamics of Oriole Insights, Reputation is a pivotal component, highlighting each user’s success in making predictions. Each participant commences their journey with a default score that changes with the user’s prediction score. It’s not just a numerical value but a reflection of the user’s skill, consistency, and contribution to the community.


Earning and Losing Reputation


Reputation is a dynamic attribute that grows with every accurate prediction and diminishes with each misstep. On Oriole Insights, reputation is influenced by UP/DOWN predictions, ROI and Initial Listing Predictions, and Binary and Categorical Predictions. Each prediction, whether successful or not, impacts the user’s reputation, making it a real-time reflection of their forecasting aptitude.


The basic mechanics for UP/DOWN work like these:


  1. For each day of successful prediction, a user gets +0.025 for his reputation score.
  2. For each day of unsuccessful prediction, a user loses 0.025 of his reputation score.


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The Impact of Reputation


But why does reputation matter? On Oriole Insights, reputation transcends beyond a mere score. It’s a passport to enhanced rewards, increased visibility, and community recognition. This includes:


  1. A higher reputation augments users’ shares in the ORI rewards pool, elevating their earning potential. Your reputation forms 30% of your ORI returns from the prediction; the other 70% is formed by the amount of ORI pooled.
  2. A high reputation is a prerequisite for a high level. Elevating the level creates new prediction opportunities. By reaching a certain level, you will be eligible to participate in Binary, ROI, and Categorical predictions. The high-level users can be chosen to validate the predictions on the project’s returns.
  3. Top predictors will be placed on the leaderboard and noticed by a wider audience.


Special statuses like Early Adopter or Verified User bring additional layers, adding depth and complexity to the reputation ecosystem, making it a multifaceted, comprehensive metric.


Reputation as Metric


It is directly linked to the level elevation system. Each level requires a certain amount of reputation collected. This makes the number representative as it shows how long the person placed predictions and how successful he was. You can check the number of reputations needed for your level up — here.


The reputation is displayed in your personal cabinet. You can also access the reputation change history in the cabinet to examine your growth. In the section “Users,” you can check others’ reputation scores. There is a leaderboard that shows who deserves your attention.


Conclusion


In the multifaceted universe of Oriole Insights, Reputation stands not just as a score but as an emblem of a user’s skill, credibility, and contribution. Every rise and fall in reputation is a narrative, a story of predictions made, risks taken, victories celebrated, and lessons learned. Oriole Insights, with its reputation system, isn’t just creating a platform for financial forecasting; it’s nurturing an ecosystem where trust, skill, and meritocracy are the pillars, and every user is both a participant and a contributor, shaping and being shaped by the collective wisdom of a community united by a quest to conquer the unpredictable.

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