General Recommendations
The results of trading with a trading bot directly depend on how responsibly you approach the backtesting of the indicator for each instrument. Hypothetical results based on historical data do not guarantee future profits, but at the very least, you will have solid grounds for making trading decisions. The indicator's backtester offers a wider range of settings, faster operation, and the ability to select a specific period for testing.
It is worth noting that proper setup of the trading system’s testing may take some time. Here are a few recommendations that can help speed up the process:
Pay Attention to Fees: Especially on lower timeframes and in the cryptocurrency market, fees can significantly affect profitability.
Avoid Low Timeframes: More active trading on lower timeframes doesn’t always lead to higher profitability. In fact, it may produce the opposite result.
Use Data Sampling Periods: The ATAS platform allows you to choose a data sampling period, enabling you to test large volumes of data and break it down into intermediate periods for a more detailed understanding.
Choosing the Right Timeframes and Instruments: Sometimes, combinations of timeframes and instruments simply do not yield optimal results. It may be easier to change the instrument or timeframe to achieve better outcomes.
Semi-Automatic Trading: While we cannot guarantee that your intervention will improve results, in some cases, when there is an understanding of market context, it is optimal to use the bot in a semi-automatic format.
Diversification: The number of instruments traded simultaneously shouldn’t be too large, as it can make it difficult to track and manage trades. However, it should not be too small to lack diversification.
Risk Management: Always monitor the risk settings for trading. Check the Max Drawdown value in the backtester window and compare it when trading multiple instruments at once. High risk on one instrument can wipe out the profitability of another instrument during the same period.
Regular Monitoring: Don’t treat automated trading as a completely autonomous system. It’s important to regularly check its performance. Trading bots are tools to eliminate routine tasks, but they don't fully replace your involvement in trading.
Diversification with Low Correlation: Diversifying by increasing the number of instruments works best when there is low correlation between them. Searching for optimal parameters helps improve the risk-to-reward ratio, although it might reduce the percentage of winning trades. In such cases, adding a condition to move the stop-loss to breakeven could be a good idea.
We hope that by following the above recommendations, you were able to find the right parameters for the desired instruments and transition to successful trading!
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