Oriole Insights
  • 📃Whitepaper
    • Introduction
      • Background: The state of uncertainty in the cryptocurrency world.
      • The Necessity of Social Prediction Platforms
      • Oriole Insights Mission: Community-Driven Predictions
    • About Oriole Insights
      • Introduction to Oriole Insights
      • The Vision: Reputation and Accuracy at the Forefront
      • Oriole Insights Unveiled: Engaging the Predictive Spirit
    • Target Audience
      • Newbies
      • Traders and Analysts
      • Opinion Leaders (KOLs)
    • Core Mechanics and Reward System of Oriole Insights
      • UP/DOWN Prediction Market
        • Prediction Options & Mechanics
        • Vote Status: Pending, Active, Finished
        • Outcome Determination & Rewards Distribution
      • ROI & Initial Listing Prediction Markets
        • Engage with ROI Prediction Markets and Earn Reputation
        • Market Cycles (Stages)
        • Reputation Calculation in ROI Prediction Markets
        • Rewards & Seed Pool Distribution | ORI Allocation
      • Polls - Binary & Categorical Prediction Markets
        • Topics of Binary and Categorical Prediction Markets
        • Requirements and eligibility for participation in Polls Prediciton Markets
        • Polls Prediction Market Cycles (Stages)
        • Outcome Determination & Rewards Distribution
      • Decentralized Validation Mechanics for ROI & Polls Prediction Markets
      • User Types and Their Role in Oriole Insights
      • Reputation System Overview
      • Accuracy System Overview
      • Oriole Fear & Greed Index Overview
    • User Engagement & Gamification: Levels, Rewards, and Leaderboards
      • Levels & Leveling-Up Mechanism
      • Earn Rewards with Oriole Insights' Activity-Based User Incentive Program
      • Perks Overview: Booster, Hedge & Limit-Order
      • Reputation & Levels Synergy
      • Leaderboards: Enhanced View
    • Telegram Mini App
      • Mini App & Web: Account Connection Guide
      • Telegram Mini App Core Functionality
      • How to Earn and how to use "Insights"
      • Mini App Referral System
    • đŸĢ‚Community Boost Program: Earn ORI
    • đŸŽ¯Roadmap
  • â„šī¸FAQ
    • FAQ | Common Questions & Answers
      • General Questions | FAQs
      • Prediction Mechanics | UP/DOWN Predictions
      • Reputation, Ratings & Badges Overview
      • Perks
      • Ambassadorship & Community Leadership
  • 👨‍🎓How-to Guides
    • How to Place UP/DOWN Predictions on Oriole Insights
    • Cancel Your UP/DOWN Vote Guide
    • Level-Up Guide: Boost Your Rank
    • Check Reputation & ORI Balance History
  • 🎨Useful Materials
    • Media Kit | Logos & Icons
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  1. Whitepaper
  2. Core Mechanics and Reward System of Oriole Insights

Oriole Fear & Greed Index Overview

Explore Oriole Insights' Fear & Greed Index, which visualizes market sentiment through participant votes. Adjusted for recency and accuracy.

Oriole Insights strives to create instruments that qualitatively catch changes in sentiment. With this in mind, we decided to redo the well-known Fear and Greed Index. We will fuel this index with our data and add another layer to understanding. It shouldn't be a replacement for an already existing one, but rather another variation. The idea is to count the votes of participants and visualize them in a simple way. The Index will count the number of votes that predict a price increase as a representation of the "GREED" power, while the number of votes that predict a price decrease will be represented by "FEAR". It is an aggregated discrete number representing the sum of all votes on all of the projects. Yet, there is also a problem with such a straightforward approach - it doesn't provide adequate updates on the situation. The index should always be up-to-date. Thus, we should highlight the recency of the votes. To capture this, each vote will be calculated with adjustment to the date of placement. This way, rapid spikes in sentiment will be adequately displayed on the index. Oriole Insights values experience, so we will assess the system after the Closed Beta and might change the formula to increase the quality of the data. It may include other adjustments to the power of each individual vote, based on the user's reputation, activity, status, etc. All of these changes will be included after thorough research to guarantee the most accurate representation of the sentiment.

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Last updated 8 months ago

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