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3 strategies and tactics for Moving Averages

What is Moving Averages 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 Moving Averages 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 Moving Averages 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.

Moving Averages strategy examples

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

Strategies and tactics for developing a Profitable Day Trading Strategy

  • ⛳️ Strategy 1: Adopt the EMA Pullback Method

    • Set up 9 EMA and 21 EMA on your trading charts
    • Choose assets that are highly liquid such as major forex pairs or SP500 futures
    • Monitor the 5-minute chart actively during the highest liquidity hours for your chosen market
    • Identify the trend by ensuring the price is above both 9 EMA and 21 EMA for a bullish trend
    • Wait for the price to pull back to the 9 or 21 EMA in the direction of the trend
    • Confirm an entry using volume spikes on breakout candles and bullish candlestick patterns
    • Place a buy stop order above the high of the pullback candle
    • Set a stop loss below the recent swing low or use 1.5x ATR for volatility adjustment
    • Establish initial profit targets at 1:1 risk-reward ratio and adjust as needed
    • Ensure total exposure to risk per trade does not exceed 1% of your account balance

  • ⛳️ Strategy 2: Utilise Effective Risk Management

    • Define your maximum risk tolerance per trade and systematically adhere to it
    • Set a daily maximum loss cap at 2% of your account balance to cease trading if reached
    • Implement position sizing methods to ensure capital preservation
    • Avoid trades during major scheduled news events to manage unexpected volatility
    • Utilise ATR to determine the appropriate market conditions and avoid low volatility trades
    • Confirm that higher timeframe trends align with 5-minute chart setups for consistency
    • Exclude trades in markets deemed to provide choppy or unclear signals
    • Define clear conditions under which you will avoid or limit leveraged trades
    • Backtest risk parameters on historical data and adjust accordingly
    • Evaluate overall performance monthly and recalibrate risk strategies if necessary

  • ⛳️ Strategy 3: Maintain Trading Discipline and Setups

    • Create a predefined trading plan specifying entry, exit, and stop criteria
    • Document every trade in detail for subsequent analysis and learning
    • Restrain from making impulsive decisions and overtrading throughout sessions
    • Monitor psychological aspects such as greed or fear which affect decision making
    • Focus only on high-probability setup opportunities termed as A+ setups
    • Commit to frequent review of strategy effectiveness and adaptability
    • Ingrain a structured routine to aid consistent and disciplined trading practices
    • Use mechanical aids like hotkeys to ensure swift execution during peak moments
    • Engage in strategy optimisation based on observed performance and market shifts
    • Develop coping strategies to manage emotional stress and minimise revenge trading
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Strategies and tactics for trading on a 5-minute timeframe using indicators

  • ⛳️ Strategy 1: Use moving averages effectively

    • Set up a 5-minute chart with a 20-period simple moving average (SMA)
    • Add a 50-period simple moving average (SMA) to the chart
    • Identify crossovers between the 20 SMA and 50 SMA as potential buy or sell signals
    • Use the 20 SMA as a short-term trend indicator
    • Use the 50 SMA as a long-term trend indicator
    • Monitor price action around the SMA for confirmation of trade signals
    • Employ risk management by setting stop losses below recent lows for buy trades
    • Place stop losses above recent highs for sell trades
    • Determine exit strategy by identifying resistance or support levels
    • Backtest this strategy on historical data to assess its effectiveness

  • ⛳️ Strategy 2: Utilise RSI for momentum analysis

    • Set up a 5-minute chart with a 14-period RSI indicator
    • Identify overbought conditions above 70 as potential sell signals
    • Identify oversold conditions below 30 as potential buy signals
    • Look for RSI divergence with price action as a sign of potential reversals
    • Confirm RSI signals with price action or additional indicators
    • Align RSI signals with moving average crossovers for stronger confirmation
    • Define stop-loss levels based on RSI signals' strength
    • Determine take-profit levels to capture profits from reversal signals
    • Monitor RSI trend lines for additional momentum insights
    • Evaluate the strategy with paper trading before live implementation

  • ⛳️ Strategy 3: Combine moving averages and RSI

    • Set up a 5-minute chart incorporating both 20 SMA, 50 SMA, and 14-period RSI
    • Look for alignment in signals between moving average crossovers and RSI levels
    • Identify buy opportunities when 20 SMA crosses above the 50 SMA and RSI is below 30
    • Identify sell opportunities when 20 SMA crosses below the 50 SMA and RSI is above 70
    • Use RSI divergence to confirm or question moving average signals
    • Establish stop-loss orders based on recent price swings and moving averages
    • Set specific take-profit levels derived from multiple confirmations
    • Apply trailing stop losses to protect gains in strong trends
    • Maintain a trading journal to review and refine strategies
    • Ensure proper position sizing to manage risk according to account size
moving-averagesrsitradertechnical-analysttrading-teamrisk-management-team
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Strategies and tactics for optimising the use of moving averages and vortex indicators

  • ⛳️ Strategy 1: Combine indicators for trend confirmation

    • Select short, medium and long-term moving averages to monitor
    • Use the vortex indicator alongside the moving averages to confirm trend direction
    • Look for moving average crossovers to indicate potential buy/sell signals
    • Monitor the vortex positive and negative lines for trend strength confirmation
    • Set alerts for when vortex lines cross to indicate potential trend reversals
    • Analyse moving averages with vortex signals to reinforce decision making
    • Utilise historical data to backtest the effectiveness of this combination
    • Incorporate additional indicators for further confirmation if necessary
    • Review and adjust the selected moving averages periodically based on trading style
    • Document findings and refine strategy over time based on market conditions

  • ⛳️ Strategy 2: Use moving averages for entry and exit points

    • Identify periods for three moving averages to capture short, medium, and long-term trends
    • Wait for price to move above or below the moving averages for entry signals
    • Utilise vortex indicators to confirm the strength of the entry signal
    • Set stop loss levels below the moving averages to manage risk on trades
    • Use vortex lines crossing to determine appropriate exit points
    • Analyse price movements around the moving averages over time
    • Backtest strategy to find the optimal moving average periods for specific markets
    • Implement a risk-reward ratio based on moving average positions
    • Regularly review the performance of the strategy and make adjustments
    • Maintain a trading journal to record entry and exit rationales

  • ⛳️ Strategy 3: Implement a dual timeframe analysis

    • Choose one timeframe for moving averages and another for vortex indicators
    • Use long-term moving averages for overall market direction on a larger timeframe
    • Apply vortex indicators to a shorter timeframe for more precise entry points
    • Look for alignment of signals across both timeframes for higher probability trades
    • Apply risk management techniques based on multi-timeframe analysis
    • Implement alerts to notify of vortex line crossovers on the shorter timeframe
    • Backtest strategy across multiple timeframes to determine effectiveness
    • Decide on timeframe scales based on trading style and asset volatility
    • Adjust moving average periods according to chosen timeframe strategy
    • Continuously monitor and refine the strategy based on performance feedback
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How to track your Moving Averages 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

We have more templates to help you draft your team goals and OKRs.

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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