#SwingTradingStrategy

During a particularly volatile phase in 2023, I implemented a data-driven swing trading strategy for my crypto clients. Utilizing a multi-timeframe approach, I combined 4-hour and daily charts to identify confluence zones. Indicators such as the Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), and Bollinger Bands provided precise entry and exit signals. I closely monitored support/resistance levels, volume profiles, and order book depth to confirm trade setups. Risk management was key — I applied a 1:3 risk-reward ratio, with stop-loss orders placed just beyond key technical levels. Leveraging on-chain metrics, like exchange inflows/outflows and whale wallet movements, enhanced timing accuracy. This disciplined strategy allowed us to capitalize on 8–15% price swings, demonstrating the power of systematic trading even amidst crypto’s high volatility.