👓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.