Swing Trading with Indicators, Entry and Exit Rules, and Portfolio Diversification
Summary
The document introduces swing trading as holding positions for days to weeks to capture price moves between local highs and lows. It contrasts this horizon with day trading, describes swings as occurring within broader price trends, and favors indicator-based rules over visual or discretionary pattern selection. Moving averages, MACD, Williams fractals, stochastic, RSI, and on-balance volume are listed as possible tools; the article suggests limiting combinations because adding indicators can reduce signal frequency.
For a sample strategy, it proposes choosing assets and indicators, defining entries such as a bullish MACD crossover, and setting exits with an opposing crossover, profit targets, stop losses, or a time limit. Historical backtesting is recommended before live use. The article also discusses diversification and the tradeoff between reducing position-specific risk and diluting portfolio returns. Its numerical profit and loss thresholds are illustrative, and it offers no backtest results demonstrating profitability. Overnight gaps, indicator weaknesses, subjective risk preferences, and changing market conditions remain important limitations.
Key ideas
- Swing trading seeks to capture price movements over holding periods of days to weeks.
- The article favors technical indicators for defining swing entries and exits over subjective visual judgments.
- A strategy should specify asset selection, entry signals, stop losses, profit targets, and time-based exits.
- Historical backtesting is recommended, but the article provides no performance evidence for its example rules.
- Diversification may reduce risk tied to individual positions, while excessive diversification can dilute returns.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.