Cryptocurrency markets have become one of the most unstable and quickest changing parts of the worldwide financial system. The digital assets market shows high price fluctuations which create major financial dangers for both traders and investors because its assets operate through decentralized systems. This research investigates cryptocurrency trading risk management methods through three main techniques which include portfolio diversification and derivative hedging and volatility assessment. The research analyzes Bitcoin (BTC) and Ethereum (ETH) and multiple altcoins through quantitative methods which use standard deviation and Value at Risk (VaR) and Sharpe ratio to assess market behavior and strategy performance across the last five years. Existing literature shows that cryptocurrency returns display volatility clustering and behavioral biases and high susceptibility to market shocks which create a need for systematic risk management. The study combines these results to establish a complete framework which enables organizations to minimize potential losses and achieve maximum returns. The data analysis shows that diversified portfolios provide consistent protection against downside risk while futures and options serve as effective hedging tools for protecting assets during extreme market conditions. The study demonstrates that trader psychological factors and their behavioral biases directly impact how traders perceive risk which emphasizes the need for traders to maintain disciplined decision-making practices while following established risk management procedures. The results provide practical guidance for both individual and institutional traders who want to use research-backed methods in cryptocurrency markets. The study improves understanding of financial risk in digital asset trading by identifying and measuring risk factors. Through its identification and measurement of risk factors, this research study enhances academic knowledge about financial risks in digital asset trading while delivering practical guidance for market professionals. Future research could extend the analysis to cross-asset correlations, algorithmic trading strategies, and regulatory impacts on risk management. The research results show that cryptocurrency trading requires a structured risk management system which uses both diversification and hedging methods together with behavioral awareness to achieve long-term profitability and stability.