Investments/swing trading strategy for different assets

This trading strategy utilizes a multi-indicator approach combining Squeeze Momentum, EMA, RSI, and MACD for potential buy signals and incorporates ATR-based stop loss for risk management. The strategy logic includes restrictions such as date and time session filtering, tailored money management based on available equity and risk appetite, and options for break-even stop adjustments.

To trade this strategy manually on TradingView:

• Use the 200-period EMA to determine the trend direction. Buy when the price is above the EMA for bullish signals.
• Add Squeeze Momentum as a column chart plot to identify market compression breakouts.
• Plot RSI with a period of 5, and also draw horizontal lines for overbought (70) and oversold (30) levels.
• Add MACD with fast length at 16 and slow length at 26, and use the histogram to identify momentum changes.
• Calculate ATR (14-period by default) and set the stop loss at a distance from the entry price equal to the ATR value multiplied by 1.6.
• Entry condition: buy when a bullish candle closes above the EMA200, the Squeeze Momentum plot turns green, and the MACD histogram is positive but smaller than the previous bar, indicating a potential reversal.
• Exit condition: set the ATR-based stop loss for risk management, and aim to move to break-even or take profit when indicators suggest overbought conditions or momentum reversal.

Improving the "Investments/swing trading strategy for different assets" through manual trading involves refining its entry and exit triggers, enhancing risk management, and incorporating market sentiment analysis. Here’s a structured plan for strategy enhancement:

• Refine Entry Triggers: Instead of relying solely on technical indicators for entry signals, supplement them with price action analysis. Look for support and resistance levels, chart patterns, and candlestick formations that confirm your indicators’ signals.
• Optimize Indicator Parameters: Periodically re-evaluate and backtest the parameters of EMA, squeeze momentum, MACD, and RSI to align with current market volatility and price behavior, preventing overfitting to past market conditions.
• Multi-Timeframe Analysis: Validate trading signals by analyzing multiple timeframes. Confirm entries on a shorter timeframe after receiving a buy signal on a longer timeframe to ensure coherence in trend direction.
• Use Volume Analysis: Integrate volume analysis to validate the strength behind a potential buy signal. Rising volume on a bullish candle can lend credence to the trade setup while decreasing volume might caution against entry.
• Dynamic Risk Management: Instead of using a flat percentage per trade, adopt a dynamic risk approach using volatility indexes such as the VIX to adjust position size. Decrease position sizes in high volatility and inversely increase in low volatility environments.
• Adaptive Stop-Loss and Take-Profit: Instead of a fixed ATR multiple, use an adaptive stop loss that accounts for changing market conditions. Also, consider introducing a trailing stop loss to capture more profits during extended trends.
• Integrate Fundamental Analysis: Accompany your technical strategy with fundamental analysis, especially for swing trades. Economic events, earnings reports, and changes in macroeconomic indicators can significantly impact asset prices.
• Market Sentiment Analysis: Incorporate market sentiment indicators like the Put/Call Ratio or Commitment of Traders (COT) reports to gauge investor behavior and potential market turns.
• Trade Journaling: Keep a detailed trade journal to monitor the performance of the manual strategy enhancements. Review the journal to identify which changes are yielding positive results and which need reevaluation.
• Last but not least, Continuous Education: Stay informed by constantly educating yourself about new trading techniques and strategies, which can provide fresh insights into improving your current strategy.

This strategy is tailored for traders with a propensity for technical analysis and a preference for swing trading. Ideal for those who are acquainted with interpreting charts and wish to engage in trades that extend over several days to weeks. It suits investors who possess patience and discipline to wait for confirmation from multiple indicators before entering a position and are comfortable managing trades over longer periods.

Key attributes for the targeted trader profile include:

• A solid grasp of EMA, RSI, MACD, and ATR indicators.
• Ability to analyze pulling forces between bullish and bearish market phases.
• Risk management awareness, to allocate a portion of the capital per trade effectively.
• Comfort with the concept of compound interest for growth.
• Awareness of market trends, utilizing entry rules that align with weekly or daily timeframes.

Overall, this strategy is best leveraged by intermediate to advanced traders who prefer a methodical, indicator-based approach to capitalize on market trends.

• Strategy Essence: Utilizes EMA, RSI, MACD, and Squeeze Momentum indicators for swing trading across various assets.
• Operation: Employs a trend-following technique that requires confirmation from multiple indicators to enter a trade.
• Automation Potential: Can be automated on TradingView with alerts set for indicator conditions.
• Manual Trading: Combines the indicators' signals with price action for entry and exit points.
• Enhancement: Adjust the indicator settings and implement multi-timeframe analysis to improve the strategy's efficiency.
• Volume Confirmation: Integrates volume to verify the strength of the trade setup.
• Risk Management: Incorporates dynamic risk sizing based on current market volatility and adaptive stop-loss mechanisms.
• Education & Journaling: Emphasizes continual learning and keeping a detailed trade journal to refine strategy performance over time.
• Trader Profile: Best suited for intermediate and advanced traders who employ technical analysis over multiple-day horizons.