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2 strategies and tactics for Ema Crossover

What is Ema Crossover strategy?

Every great achievement starts with a well-thought-out plan. It can be the launch of a new product, expanding into new markets, or just trying to increase efficiency. You'll need a delicate combination of strategies and tactics to ensure that the journey is smooth and effective.

Finding the right Ema Crossover strategy can be daunting, especially when you're busy working on your day-to-day tasks. This is why we've curated a list of examples for your inspiration.

Copy these examples into your preferred tool, or utilize Tability to ensure you remain accountable.

How to write your own Ema Crossover strategy with AI

While we have some examples available, it's likely that you'll have specific scenarios that aren't covered here. You can use our free AI generator below or our more complete goal-setting system to generate your own strategies.

Ema Crossover strategy examples

You will find in the next section many different Ema Crossover tactics. We've included action items in our templates to make it as actionable as possible.

Strategies and tactics for optimising EMA Crossover Strategy for Profitability

  • ⛳️ Strategy 1: Implement a 5-minute EMA crossover strategy

    • Select the 5-minute timeframe for the analysis
    • Use 50 EMA as the slow-moving average
    • Use 20 EMA as the fast-moving average
    • Wait for a crossover of 20 EMA above the 50 EMA for a potential buy signal
    • Ensure a crossover of 20 EMA below the 50 EMA for a potential sell signal
    • Confirm the crossover signals with volume indicators for higher accuracy
    • Use support and resistance levels to validate entries and exits
    • Set stop-loss levels at recent swing highs/lows for risk management
    • Monitor for fake breakouts by analysing candle patterns
    • Review and adjust strategy based on backtesting results
  • ⛳️ Strategy 2: Execute trades on a 1-minute timeframe

    • Switch to a 1-minute timeframe for precise entry/exit
    • Use 10 EMA as the fast-moving average
    • Use 5 EMA as the slower moving average
    • Check for a crossover of 5 EMA above 10 EMA to confirm a buy
    • Check for a crossover of 5 EMA below 10 EMA to confirm a sell
    • Validate crossover signals with RSI for overbought/oversold conditions
    • Utilise MACD to verify momentum before taking trades
    • Set tight stop-losses on the 1-minute chart to control losses
    • Adjust profit-taking levels based on volatility and market conditions
    • Continuously evaluate the success rate and adjust moving averages as necessary
  • ⛳️ Strategy 3: Backtest and refine the crossover parameters

    • Compile historical data for both 5-minute and 1-minute timeframes
    • Set up a backtesting environment with trading software
    • Test the strategy on different market conditions to gauge consistency
    • Analyse cross-platform results to fine-tune entry and exit points
    • Experiment with different EMA periods to find optimal settings
    • Track the number of successful trades versus failures
    • Adjust parameters based on the drawdowns during backtesting
    • Calculate the risk-to-reward ratio for each tested setup
    • Evaluate the impact of transaction costs on the strategy's profitability
    • Implement the most promising setup in demo trading before live execution

Strategies and tactics for executing EMA Crossover Strategies

  • ⛳️ Strategy 1: Implement the Golden Cross Strategy

    • Identify a stock with a strong upward trend
    • Plot 7-day and 17-day EMAs on the premium chart
    • Wait for the 7-day EMA to cross above the 17-day EMA near a significant support level
    • Confirm market conditions with higher volume at the crossover
    • Use technical indicators to validate the upward momentum
    • Monitor the stock for a break above the last high point
    • Check additional confirmation with RSI indicating overbought conditions if applicable
    • Execute a buy call once the criteria above are met
    • Set a stop loss slightly below the recent support level
    • Regularly review the position and adjust stop loss as needed
  • ⛳️ Strategy 2: Utilise the Death Cross Strategy

    • Find a stock exhibiting a strong downward trend
    • Overlay 7-day and 17-day EMAs on the premium chart
    • Wait for the 7-day EMA to cross below the 17-day EMA near a significant resistance level
    • Ensure there is higher volume at the crossover for validation
    • Use additional technical indicators to confirm downward momentum
    • Look for a break below the last low point as further confirmation
    • Ensure MACD supports the bearish outlook
    • Initiate a buy put option once the conditions are confirmed
    • Secure a stop loss slightly above the recent resistance level
    • Continuously review the position and adjust strategies accordingly
  • ⛳️ Strategy 3: Optimise EMA Crossover Entries

    • Backtest historical data for validating 7-day and 17-day EMA effectiveness
    • Use stochastic oscillator to help fine-tune entry points
    • Conduct thorough research on stocks with consistent movement patterns
    • Keep economic calendar events in consideration for timing trades
    • Apply a confirmation strategy with Fibonacci retracement levels
    • Utilise momentum indicators like ADX for trend strength assessment
    • Track daily news related to selected stocks for influence factors
    • Implement risk management tools to cap potential losses
    • Regularly re-evaluate strategy effectiveness with quarterly reviews
    • Stay updated with trading blogs and forums for community insights

How to track your Ema Crossover strategies and tactics

Having a plan is one thing, sticking to it is another.

Don't fall into the set-and-forget trap. It is important to adopt a weekly check-in process to keep your strategy agile – otherwise this is nothing more than a reporting exercise.

A tool like Tability can also help you by combining AI and goal-setting to keep you on track.

More strategies recently published

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Planning resources

OKRs are a great way to translate strategies into measurable goals. Here are a list of resources to help you adopt the OKR framework:

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