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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM52948

AI Powered Cryptotrademate Backtester

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM52948

Volume:

9 |

10 |

Oct 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM52948

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

ND

Nandhini D

SHM

Sri Harshini M

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Abstract

The swift expansion of cryptocurrency markets necessitates the assessment of clever and flexible trading strategies. In order to optimize cryptocurrency trading strategies, CryptoTradeMate is an AI-powered backtesting framework that combines machine learning, deep learning, and reinforcement learning with historical and on-chain data. The system reduces overfitting and improves robustness by supporting walk-forward optimization, purged cross-validation, and real-time data ingestion. Results from experiments conducted on Bitcoin, Ethereum, and other assets between 2018 and 2024 show that AI-augmented strategies outperform conventional rule-based approaches in terms of stability and risk-adjusted returns, particularly in times of market volatility.

KEYWORDS

risk management machine learning reinforcement learning backtesting cryptocurrency on-chain data and optimization.

Cite This Article

Nandhini D, Sri Harshini M, "AI Powered Cryptotrademate Backtester," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 10, Oct 2025. https://doi.org/10.55041/IJSREM52948

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Publication Date

11/9/2025

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Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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