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Machine Learning in Trading

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Filter:Machine Learning in Trading

Category – Machine Learning in Trading

Machine learning in trading refers to the use of algorithms and statistical models that enable computers to learn from data and make predictions or decisions without explicit programming. In trading, machine learning is used to analyze market data, identify patterns, and develop predictive models for asset pricing, risk management, and trade execution. Traders use machine learning for algorithmic trading, portfolio optimization, and sentiment analysis, aiming to automate strategies and improve accuracy in decision-making.

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CONSENSUS MECHANISM

Consensus mechanism is a protocol used in blockchain to achieve agreement on a single data value or a single state of the network.

CRYPTOJACKING

Cryptojacking is the unauthorized use of someone's computer to mine cryptocurrency.

DELEGATED PROOF OF STAKE (DPOS)

Delegated proof of stake (DPoS) is a consensus mechanism where stakeholders elect delegates to validate transactions and secure the network.

DISTRIBUTED LEDGER TECHNOLOGY (DLT)

Distributed ledger technology (DLT) is a digital system for recording transactions where the data is replicated and shared across multiple locations.

INITIAL EXCHANGE OFFERING (IEO)

Initial exchange offering (IEO) is a type of token sale administered by a cryptocurrency exchange on behalf of the project.

NODE

Node is a point of connection within a network that can receive, create, store, or send data along distributed network routes.

ORACLE (BLOCKCHAIN)

Oracle (blockchain) is a third-party service that provides smart contracts with external information.

PAPER WALLET

Paper wallet is a physical document containing a cryptocurrency address and its private key.

ASIC (APPLICATION-SPECIFIC INTEGRATED CIRCUIT)

ASIC (Application-Specific Integrated Circuit) is a specialized hardware designed for a specific task, such as mining cryptocurrencies.

PROOF OF AUTHORITY (POA)

Proof of authority (PoA) is a consensus mechanism where a limited number of validators have the authority to validate transactions.

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