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1 strategies and tactics for Automated Trading

What is Automated Trading 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 Automated Trading strategy can seem daunting, particularly when you're focused on your daily workload. For this reason, we've compiled a selection of examples to fuel your inspiration.

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

How to write your own Automated Trading 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.

Automated Trading strategy examples

You'll find below a list of Automated Trading tactics. We also included action items for each template to make it more practical and useful.

Strategies and tactics for developing a high-frequency trading EA for currency trading

  • ⛳️ Strategy 1: Define trading parameters and criteria

    • Identify specific currency pairs with high liquidity
    • Set time frames suitable for high-frequency trading such as M1 or M5
    • Determine acceptable spread and slippage levels
    • Define maximum leverage to be used, considering risk tolerance
    • Specify the average trade duration expectation
    • Establish profit-taking and stop-loss order rules
    • Set criteria for market entry and exit signals
    • Define the maximum permissible drawdown
    • Select technical indicators to use for signal generation
    • Outline criteria for adjusting parameters periodically

  • ⛳️ Strategy 2: Develop and test the Expert Advisor

    • Select an appropriate trading platform like MetaTrader with EA support
    • Write the automated trading script in MQL4 or MQL5
    • Incorporate defined trading criteria and parameters into the EA
    • Backtest the EA on historical data over multiple time periods
    • Include error-checking and recovery procedures in the script
    • Adjust trading logic based on backtesting results
    • Perform forward testing on a demo account with real-time data
    • Optimize trade execution speed and EA responsiveness
    • Ensure compliance with broker execution policies and leverage limits
    • Document code and develop a user guide for the EA

  • ⛳️ Strategy 3: Implement and evaluate the EA on a live account

    • Open a small live trading account with a reputable broker
    • Deposit an amount that aligns with risk management strategy
    • Deploy the EA on the live account under controlled conditions
    • Regularly monitor the EA's performance against benchmarks
    • Review trade logs to identify anomalies or errors
    • Make iterative adjustments to the EA based on live performance
    • Implement a risk management plan to handle loss scenarios
    • Schedule periodic reviews of EA efficacy and profitability
    • Consider automating updates and maintenance tasks
    • Seek feedback and insights from other high-frequency traders
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Implement these strategies

How to track your Automated Trading strategies and tactics

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

Having a good strategy is only half the effort. You'll increase significantly your chances of success if you commit to a weekly check-in process.

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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