Filters
Last updated
Last updated
Alfred offers a range of filters designed to assist you in identifying traders whose investment strategies align with your goals. In addition to standard metrics like Net PnL, ROI %, and Avg collateral displayed in columns, you can access more advanced filtering options by clicking on the 'Filters' button.
After clicking on 'Filters', a popup will appear.
Filtering by time duration: Apply the timeline according to which you want the filters to get the data from.
Filter range: Net PnL, ROI%, Average collateral, Average position trades, Win %, Positions closed. Set a min and max range for the selected filters.
Click on Okay to apply the filters.
Click on Reset to clear all the filters set earlier.
Filtering by Time Range: This enables you to narrow down traders' activity based on specific time periods. Alfred provides four distinct time ranges for sourcing traders' data: one week, 30 days, 2 months, and all time.
A filter theory is a set of rules that you will use to filter traders when copy-trading. It is important to have a clear filter theory in place so that you can consistently find profitable traders to copy.
Here is a step-by-step guide to making a filter theory:
What is your maximum acceptable loss?
How long are you planning to invest?
What kind of returns are you hoping to generate?
After you get answers to these questions, you’ll have an overview of your profile as an investor. The next step is to:
When choosing filters for Alfred, it is important to consider the psychological aspects of trading. Each filter represents a different psychological aspect of trading, and by choosing the right filters, you can create a filter theory that is more likely to help you find profitable traders to copy.
Here are some suggestions for choosing filters based on the psychological aspects of trading:
Net PnL: If you are a risk-averse investor, you may want to focus on traders with a high PnL. If you are a more aggressive investor, you may be willing to take on more risk in order to generate higher returns.
ROI: If you are looking for traders who are able to generate high returns on their investment, you should focus on traders with a high ROI. However, it is important to keep in mind that traders with a high ROI may also be taking on more risk.
Win %: If you are looking for traders who are successful in picking winning positions, you should focus on traders with a high win rate. However, it is important to keep in mind that win rate is not the only factor to consider when choosing traders to copy.
Total closed positions: If you are looking for traders who are active in the market, you should focus on traders with a high number of closed positions. Although they have a high chance of getting you in a trade quickly, it is important to keep in mind that active traders may also be taking on more risk and might not wait for their edge to take a position. We suggest you watch their ROI and Win % alongside.
Average trade size: If you are a risk-averse investor, you may want to focus on traders who take smaller positions. If you are a more aggressive investor, you may be willing to take on more risk by focusing on traders who take larger positions.
Average position trades: If you are a risk-averse investor, you may want to focus on traders who take fewer trades per position. If you are a more aggressive investor, you may be willing to take on more risk by focusing on traders who take multiple trades per position. It is also important to consider the other factors mentioned above, such as PnL, ROI, win rate, and total closed positions. By looking at all of these factors together, you can get a more complete picture of a trader's performance and risk profile.
Here are some additional tips for making a filter theory:
Consider your risk tolerance and investment goals.
Diversify your portfolio by copying a variety of traders with different trading styles.
Monitor your results regularly and make adjustments as needed.
Remember, there is no guarantee of profits when copy trading. Always invest money that you can afford to lose.
Example of a filter theory:
Here is an example of a filter theory for a low-risk investor:
Net PnL (30D) > 1000 USDC
ROI (30D) > 40%
Win % (30D) > 70%
Total closed positions (30D) > 10
Average trade size (30D) < $1000
Average position trades (30D) < 3
This filter theory will only show traders who have a high PnL, ROI, and win rate, and who are active in the market. It will also filter out traders who take large positions or who take multiple trades per position.
Ultimately, the best way to find profitable traders to copy is to experiment with different filters and see what works best for you. There is no one-size-fits-all approach.
There are literally infinite combinations to filter out a set of traders. To learn about the filter theories of others, .