Elevated Whitepaper
  • 🏆Title Page
  • 🛡️Legal Disclaimer
  • 🌏0. Abstract
  • 🎓1. Foreword
  • 🦋2. Background and context
  • ⚔️3. The Challenge
  • 🌈4. An Elevated Vision
  • ⚛️5. Mathematics
  • 💼6. The Digital Wallet
  • 💎7. The Elevated Solution
  • 💠8. Key Features
    • 8a. The Dashboard
    • 8b. Asset Management
    • 8c. Navigating DeFi
    • 8d. The Journey Continues
  • 🤖9. Elevated AI
  • 💸10. $GATE Tokenomics
    • 10a. Presale strategy
    • 10b. Phases
    • 10c. Mathematics
  • 🛣️11. Roadmap
    • Genesis - Project Catalyst (Q3 2023)
    • Ignition - Fueling Tech and Community Growth (Q4 2023 into 2024)
    • 6 months into the future...
    • Nexus - Where All Paths Converge (Q2-Q3 2024)
    • Citadel - Where Vision Meets Reality (Q3-Q4 2024)
    • The Odyssey 3-5 Year Roadmap
  • 👓Glossary
  • 🔗Presale + Links
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  • Blockchain and Tokenomics
  • Artificial Intelligence and Data Science
  • Mathematical Models and Theories
  • Risk Management and Forecasting
  • Security and Compliance

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Glossary

Glossary for Technical Terms for Elevated Whitepaper

Blockchain and Tokenomics

$GATE Token: The native utility token of the Elevated platform, used for governance, staking, and transactional purposes.

Airdrop: Distribution of a cryptocurrency token, usually for free, to numerous wallet addresses.

Blockchain: A decentralized, distributed digital ledger used to record transactions securely.

Burning: The act of permanently removing tokens from circulation to reduce supply and increase scarcity.

Liquidity Pool (LP): A smart contract containing reserves of two tokens, providing liquidity for traders.

Smart Contract: Self-executing contracts with the terms of the agreement directly written into code, typically run on a blockchain.

Transaction Fees: Fees charged to users for processing transactions, e.g. on the Elevated platform.

Artificial Intelligence and Data Science

Algorithms: A step-by-step procedure or formula for solving a problem or performing a task, often used in data analysis and machine learning models.

Artificial Intelligence (AI): A subfield of computer science focused on creating machines capable of performing tasks that typically require human intelligence, such as decision-making, pattern recognition, and learning.

Data Science: An interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract insights from structured and unstructured data.

Machine Learning: A subset of AI that enables computers to learn from data and make decisions or predictions without being explicitly programmed.

Metadata: Data that describes and gives information about other data, such as the origin, structure, or characteristics of a dataset.

Natural Language Generation (NLG): A subfield of artificial intelligence and computational linguistics that focuses on enabling computers to generate human-like text based on data and algorithms.

Mathematical Models and Theories

Game Theory: The study of mathematical models of strategic interactions between rational decision-makers, often used in economics and decision-making processes.

Network Theory: The study of complex interacting systems, often used in various fields to model the interactions between agents in a network.

Probability Theory: A branch of mathematics concerned with the analysis of random phenomena, used in this context for "superforecasting" or predicting future events.

Stochastic Calculus: A branch of mathematics that deals with processes involving randomness, often used in financial modeling and statistics.

Superforecasting: A method of making highly accurate predictions by employing a scientific, probabilistic approach to decision-making, usually based on a set of key principles.

Risk Management and Forecasting

Backtesting: The practice of applying trading and investment strategies to historical data to see if they would have been profitable.

Economic Risks: Potential adverse outcomes that could affect the financial aspects of the Elevated platform.

Future Forecasting: Predictive analytics focused on determining the outcomes of future events based on analysis of past and current data.

Real-Time Risk Management: The continual monitoring and assessment of risk factors that could affect financial portfolios, generally enabled through automated algorithms.

Scenario Analysis: A process of analyzing possible future events by considering various feasible outcomes or states.

Security and Compliance

Audits: Third-party assessments aimed at ensuring the security and functional integrity of a program, such as the token, smart contracts, or the platform.

Encryption: The process of converting information into a code to prevent unauthorized access to data.

GDPR: General Data Protection Regulation, a regulation in EU law on data protection and privacy for individuals within the European Union and the European Economic Area.

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Last updated 1 year ago

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