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5 Minute EMA Cross Strategy

Script from: TradingView

Swing

Scalping

Trend following

Bot

This 5-Minute EMA Cross strategy uses Alertatron to place limit orders with trailing stop/take profit. Key features include fast/slow EMA cross indicators, a trailing stop/take profit mechanism, and a macro EMA filter for trading with the macro trend. Recent update: Moved ta.highest() and ta.lowest() from local to global scope.

ENA / TetherUS (ENAUSDT)

+ 5 Minute EMA Cross Strategy

@ 2 h

2.71

Risk Reward

43.13 %

Total ROI

42

Total Trades

IOTA / TetherUS (IOTAUSDT)

+ 5 Minute EMA Cross Strategy

@ 4 h

2.71

Risk Reward

132.03 %

Total ROI

100

Total Trades

IMX / US Dollar (IMXUSD)

+ 5 Minute EMA Cross Strategy

@ 4 h

2.16

Risk Reward

60.40 %

Total ROI

70

Total Trades

USTCUSDT SPOT (USTCUSDT)

+ 5 Minute EMA Cross Strategy

@ 1 h

1.95

Risk Reward

233.87 %

Total ROI

130

Total Trades

FIL / TetherUS (FILUSDT)

+ 5 Minute EMA Cross Strategy

@ 4 h

1.91

Risk Reward

60.47 %

Total ROI

95

Total Trades

Premium users only

Premium users can access all backtests with a Risk/Reward Ratio > 3

@ 4 h

22.95

Risk Reward

82.95 %

Total ROI

26

Total Trades

Premium users only

Premium users can access all backtests with a Risk/Reward Ratio > 3

@ Daily

7.53

Risk Reward

82.03 %

Total ROI

21

Total Trades

Snowflake Inc. (SNOW)

+ 5 Minute EMA Cross Strategy

@ 4 h

2.66

Risk Reward

14.76 %

Total ROI

18

Total Trades

C3.ai, Inc. (AI)

+ 5 Minute EMA Cross Strategy

@ 2 h

2.56

Risk Reward

36.76 %

Total ROI

42

Total Trades

Intuit Inc. (INTU)

+ 5 Minute EMA Cross Strategy

@ Daily

2.51

Risk Reward

86.12 %

Total ROI

73

Total Trades

Pinterest, Inc. (PINS)

+ 5 Minute EMA Cross Strategy

@ 1 h

2.47

Risk Reward

64.49 %

Total ROI

71

Total Trades

Palantir Technologies Inc. (PLTR)

+ 5 Minute EMA Cross Strategy

@ 2 h

2.37

Risk Reward

55.71 %

Total ROI

38

Total Trades
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Guide

How does the 5 Minute EMA Cross Strategy strategy work ?

The 5 Minute EMA Cross Strategy is designed to utilize fast and slow EMAs to generate buy and sell signals. It will:

  • Indicate a buy signal when the fast EMA crosses above the slow EMA
  • Indicate a sell signal when the fast EMA crosses below the slow EMA
  • Employ a trailing stop/take profit mechanism to manage exits
  • Use a "bar look back" feature to determine the price for placing limit orders
  • Incorporate a macro EMA filter to ensure trades are made following the broader market trend

This strategy has moved the ta.highest() and ta.lowest() functions out of the local context to the global context, refining its operation.

How to use the 5 Minute EMA Cross Strategy strategy ?

This trading strategy uses a crossover method, where a fast EMA (20-period) and a slow EMA (100-period) dictate buy/sell signals. Buy when the fast EMA crosses above the slow EMA; sell when the fast EMA crosses below the slow EMA. It includes stop-loss, take-profit, and optional macro EMA filter for trend direction validation.

To trade this strategy manually:

  • On TradingView, add two Exponential Moving Averages (EMAs) to your chart: one with a 20-period (fast EMA) and another with a 100-period (slow EMA).
  • Entry Condition: Buy (go Long) when the 20-period EMA crosses above the 100-period EMA. Sell (go Short) when the 20-period EMA crosses below the 100-period EMA.
  • Exit Condition:
    • Set a stop-loss at 2% below the buy price for Long positions and 2% above the sell price for Short positions.
    • Set a take-profit at 2% above the buy price for Long positions and 2% below the sell price for Short positions.
    • Optional: Apply a trailing stop starting at 1% profit, trailing 1% behind the highest price reached after entry.
  • For additional trend validation, add a 300-period EMA as a macro filter. Only take Long trades if both EMAs are above this filter and Short trades if both are below.

How to optimize the 5 Minute EMA Cross Strategy trading strategy ?

Improving the 5 Minute EMA Cross Strategy with manual trading can involve several enhancements to refine its accuracy and profitability. Here’s a plan to elevate the strategy:

1. Enhance Entry and Exit Signals:

  • Use additional indicators like the Relative Strength Index (RSI) to confirm signals. For instance, only take Long positions when the RSI is above 50 and Short positions when the RSI is below 50.
  • Incorporate Volume analysis. Higher volume often confirms the strength of a move. Enter trades only when there is a volume surge accompanying the EMA crossover.
  • Introduce a Moving Average Convergence Divergence (MACD) indicator. Use the MACD line crossing above the signal line as an additional confirmation for Long entries and below the signal line for Short entries.

2. Optimize the Trailing Stop:

  • Adjust the trailing stop parameters according to market volatility. During high volatility periods, use a wider trailing stop to avoid being stopped out prematurely. During low volatility, a tighter trailing stop can help lock in gains.
  • Regularly review and backtest different trailing stop percentages to find the optimal level for various market conditions.

3. Implement a Time Filter:

  • Limit trading to specific market sessions or times of day when there’s typically more liquidity and activity. For example, avoid trading during low volume periods or just before significant economic news releases to reduce the risk of unexpected market movements.
  • Consider avoiding trading on Mondays when markets can be volatile due to weekend gaps or on Fridays when traders often close their positions.

4. Use Support and Resistance Levels:

  • Identify key support and resistance levels on higher timeframes (e.g., daily or 4-hour charts) and use them to refine entry and exit points. Enter trades in the direction of the trend after a pullback to these levels.
  • Set stop losses just below support for Long trades and just above resistance for Short trades to limit downside risk.

5. Diversify Across Multiple Assets:

  • Apply the strategy to multiple asset classes, such as stocks, commodities, and forex, to diversify risk and capture opportunities across different markets.
  • Backtest and adjust the strategy for each asset to account for different volatilities and behaviors.

6. Continuous Learning and Adaptation:

  • Keep a trading journal to track performance and identify patterns or areas for improvement. Regularly review and adjust your strategy based on these insights.
  • Stay updated with market news and trends. Adapting to market conditions, such as changes in volatility or market direction, can help improve the strategy’s effectiveness.
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For which kind of traders is the 5 Minute EMA Cross Strategy strategy suitable ?

This 5 Minute EMA Cross Strategy is ideal for active traders who prefer a short-term trading style, such as day traders and scalpers. This strategy is designed for:

  • Day Traders: Those who capitalize on minor price fluctuations within a single trading day. The 5-minute timeframe aligns with the need for quick entry and exit decisions to capture intraday opportunities.
  • Scalpers: Traders who seek to make numerous small profits throughout the trading session. The strategy's focus on fast and slow EMA crossovers is perfect for frequent trading actions.
  • Technical Traders: Those who rely heavily on technical analysis and indicators for their trading decisions. The use of EMAs, volume analysis, and other technical tools will resonate well with this group.

Traders who have the ability to constantly monitor the market will benefit the most, as the strategy requires prompt responses to the EMA cross signals and market conditions.

Key Takeaways of 5 Minute EMA Cross Strategy

Key Takeaways:

  • How it works: The strategy utilizes a 20-period fast EMA and a 100-period slow EMA to generate buy/sell signals. Buy when the fast EMA crosses above the slow EMA and sell when the fast EMA crosses below the slow EMA.
  • Usage: The strategy can be automated using platforms like Alertatron or used manually on TradingView by adding and monitoring the EMAs. Combining alerts with manual analysis improves efficiency.
  • Optimization: Enhance the strategy by incorporating additional indicators like RSI, MACD, and volume analysis. Use support and resistance levels from higher timeframes to refine entry and exit points.
  • Risk Management: Apply stop-loss and take-profit settings of 2% to minimize losses and secure gains. Adjust trailing stops based on market volatility for better exit timing.
  • Time Filtering: Trade during specific market sessions with higher liquidity and activity, avoiding low-volume periods and times close to significant economic news releases.
  • Diversification: Implement the strategy across multiple asset classes such as stocks, commodities, and forex for balanced risk and varied opportunities.
  • Continuous Improvement: Maintain a trading journal to track performance and adapt the strategy based on insights and changing market conditions. Stay updated with market news and trends.
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