• Damarasingu Bindu Sai Sri
• Dr K Srinivas
• Mrs.D Lakshmi Prasanna
• Mr.B Srinivas

Crypto currency is one of the famous financial state in all over the world which cause several type of risks that effect on the intrinsic assessment of risk auditors. From the beginning the growth of crypto currency gives the financial business with the wide risk in term of presentation of money laundering. In the institution of financial supports such as anti-money laundering, banks and secrecy of banks proceed as a specialist of risk, manager of bank and officer of compliance which has a provocation for the related transaction through crypto currency and the users who hide the illegal funds In this study, the Hierarchical Risk Parity and unsupervised machine learning applied on the crypto currency framework. The process of professional accounting in term of inherent risk connected with crypto currency regarding the occurrence likelihood and statement of financial impact. Determining crypto currency risks comprehended to have a high rate of occurrence likelihood and the access of private key which is unauthorized. The professional crypto currency experience in transaction cause the lower risk comparing the less experienced one. The Hierarchical Risk Parity gives the better output in term of returning the adjusted risk tail to get the better risk management result. The result section shows the proposed model is robust to various intervals which are re-balanced and the co-variance window estimation.

Crypto currency, money laundering, provocation, private key, Hierarchical Risk Parity. E-Pilot, Hard Landing Prediction, Soft Landing, Flight Safety, Logistic Regression, Data Preprocessing, TensorFlow.

"AN ANALYSIS OF FINANCIAL RISK MANAGEMENT OF CRYPTO CURRENCY MARKET USING HRP MACHINE LEARNING ALGORITHM ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.h600-h604, May-2025, Available :http://www.jetir.org/papers/JETIR2505859.pdf

"AN ANALYSIS OF FINANCIAL RISK MANAGEMENT OF CRYPTO CURRENCY MARKET USING HRP MACHINE LEARNING ALGORITHM ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. pph600-h604, May-2025, Available at : http://www.jetir.org/papers/JETIR2505859.pdf