Algorithm Intelligence can score your strategies and determine which one is the best to use in various market conditions. To create a new Algorithm Intelligence (or New AI for short), you need to go to the "strategies" section, then click on "Algorithm Intelligence" and then click on "New AI" in the top right corner of the screen. The screenshots below will help guide you:
Click on "Strategies" And create a new A.I. by clicking the "New AI" button.
Editor On the left-hand side of the screen, you can give your New AI a name, description, and an image:
On the top we have some buttons which will guide us to several panels:
By default, we are taken into the editor section. Let's start by adding a "Signal". The signal represents the strategy that you will use as your entry point for a trade. When you click on the Signal button, you will see all your strategies (both the ones you created and the ones from the marketplace). The market strategies have (market) in parenthesis attached to their names (such as the Ichimoku Pro in the example on the right).
After you have picked your desired strategies, they will be displayed in grey below. They are displayed in grey as they are currently not active.
Let's now look at the trend. The trend will determine how your New AI will view the current market conditions (or trend). Based on the trend, it will decide whether we are in a bull or bear market.
The strategy that we have created to determine the market trend is named Market Trend Parabolic SAR. It is a very simple strategy that just uses the Parabolic SAR on the daily time frame. Another indicator that you can use to determine the market trend is the MESA. This indicator can also work well as it keeps its buy signal as long as the market is bullish and its sell signal as long as the market is bearish.
Now you have a total of four signal strategies to determine your entry points and one to determine the current trend.
It is essential now to hit "save" otherwise, you will not be able to complete the next steps. You can now notice how the signals have turned green, and the trend has turned blue, while the strategies' name is solid black. The change in color indicates that all of the strategies are now active.
Let's now dive into the "config" section.
The config section is the base upon which the AI will score your strategies. Let's now go step by step through all of the options available to us:
We will start by looking at the first category:
BUY/SELL SIGNAL SETTINGS
Validate signals after X time: "Select the time after which you want to check/validate if a signal was good or bad". If you are building a day-trading focused AI, for example, then probably 1 day or even less would be your preferred choice. If you would like to create a swing trading AI, maybe 3-5 days would be more appropriate for you. For this example, we will go with the 2 days option.
Minimum percent change buy signal: "Set the minimum percentage profit a signal must get for a buy signal to be valid". This is the take-profit amount that you would like to achieve on each signal. You will also set this depending on the type of AI you would like to build. If you would like to use a scalping strategy, then 2% may be appropriate for you. If you would use a swing trading strategy, then something like 5-10% may be better. In our example, we will use 5%, which means that we would like to see at least 5% profit within 2 days after each buy signal has been given.
Minimum percent change sell signal:"Set the minimum percentage loss a signal must get for a sell signal to be valid". This is the minimum amount you would like a coin to drop by for a sell signal to be valid. For our example, we will use 3%. This means that we would like to see at least a 3% drop within 2 days after each sell signal has been given.
Let's now move on to the second category:
MARKET TREND SETTINGS
Maximum percent change neutral trend: "Set the maximum percentage a neutral trend may change up or down for a market trend signal to be valid". For example, if you set 5% here, it means that for a neutral trend signal to be valid, it has to move by less than 5% in 2 days (it is 2 days expressly because we have set 2 days in Validate signals after X time).
Minimum percent change uptrend: "Set the minimum trend must change upward for an uptrending market signal to be valid". Let's set this, for example, at 4%. When your trend strategy shows a buy signal, the New AI will mark it as valid if the price **rose by at least 4% **within 2 days.
Minimum percent change downtrend: "Set the minimum trend must change downward for a down market trend signal to be valid". Let's set this, for example, at 4%. When your trend strategy indicates a sell signal, the New AI will mark it as valid if the price fell by at least 4% within 2 days.
And last, we have:
Maximum score for neutral signals: "This value is used to know how much a neutral signal should be used in the score calculation. A lower value will give more importance to buy and sell signals. A higher value will give more importance to neutral/no signals. Enter a value between 1 and 100. Default: 40". This setting rates the importance of the neutral signals of your signal strategy. If your neutral signals are not relevant then they can be discarded by entering a value of 1. If your neutral signals are vital, then you can enter a value of 80, for example. In our case, we will assume that the neutral signals produced by our strategies are not relevant, and we will set a value of 1.
Important to note, the "Maximum score for neutral signals" option only affects the signals strategies
It does not affect the trend strategies:
If you have selected everything precisely as mentioned in this example, then your configuration should look like this:
Let us now dive into how to train our new AI, based on the strategies, and configurations that we have selected. To do this, we must go to the training section!
Training your A.I.
The training section is where we train our AI based on past and live data (where we backtest it). At the top we have a few options for our AI training:
- The first is to select one specific strategy to train or all of the strategies. For our example, we will proceed by choosing the default, which is "train all strategies".
- Next, you will have to select your exchange.
- Afterwards, you will need to choose the pair you would like your AI to learn. For our example, we will take USDT as our base currency. Then let's say we would like to train our AI to trade against BTC. We will thus select the pair BTC - USDT.
- The final step for each trading pair you would like to train your AI on is to hit the "Learn" button. You can learn up to 100 coins at a time:
We can now go back to the editor section to view our results. The strategies are ranked according to their scores (from the highest-scoring strategy to the lowest). Please note that the "total signals" for trend strategy are not actual signals in the usual sense. They are actually trend changes. So 43 for us is the number of times the trend has changed.
You can click on any individual strategy, and you will be able to see how well it performed in detail. Apart from the average score, you can also view here how it performed in different market conditions. You can see how well the buy signals delivered in a neutral, uptrend, and downtrend market on the left-hand side of the screen.
On the right-hand side of the screen, we have the average sell signals delivered during the same market conditions. Each of the six scores represents how well the signals achieved their targets during the respective trend. For example, the buy score in an uptrend represents the % of times in which the buy signals reached 5% profit within two days (which in our case is 100% or 203/203). Another example is the 54% for the average sell score in a downtrend market: this implies of the 320 signals sent, only in about 173 cases, did the price drop by at least 3% within 2 days as we have selected in the config section.
We will now look at the results in more details by going into the results section:
Here we can see the average score our AI had, along with the average trend, buy and sell score. Remember that all of these scores are based upon the criteria that we have selected in the configuration.
We can also see how well our strategy has performed in each type of trend. For example, we can see that we have had absolutely no buy or sell signals in a down-trending market. The lack of signals can be interpreted as: our strategies are built to only function in an uptrend market, or our trend strategy has a rigorous approach to identifying a down-trending market.
Reset & Delete
If you would like to learn other pairs, you can still add them now from the Training section. If you would like to test it out again from scratch, click on "Reset". This action will delete all of the old data, and it will start collecting new data. The reset button could be used, for example, when you want to change some settings in the config, or you would like to check how well this system works against BTC pairs rather than USDT.
Clicking on "Delete" will delete the AI that you have just created (same as deleting a strategy or a hopper). This action cannot be undone!
Integrating the New AI with the hopper
Now that you have created your New AI, we can now examine how we are going to integrate it into our hopper. To do this, you have to go to your config/baseconfig/strategy, as indicated below:
For the strategy section, you can select the New AI that you have recently created. For our example, we will choose "Serious AI".
The option Signals only should remain disabled if you would like to use your AI.
Number of targets to buy: "This determines the amount of targets that are bought if your strategy finds multiple coins at the same time. If you configure 3 targets, and the hopper finds 5, it will only buy the best 3, sorted by the number of indicators and buy signals it has hit. Maximum is 10". Since we are using 5 coins only, we are going to select 5 here.
Use corrected score for buys: "Normal scores are between -1 (for sell) and 1 (for buy), corrected score is a value between 0 and 100 (percentage) based on the highest and lowest normal result it got". The corrected score improves over time. Therefore we will use the corrected score in our example.
Minimum score for buys: "Configure the minimum score a market should have before signalling a buy for it. Normal scores are between -1 (for sell) and 1 (for buy), so you could enter 0.2 for a buy for example. If you use corrected score, then the value should be between 0 and 100, for example 75 for a buy". The higher the value that you use here, the more selective your AI will be when entering a position. For example, we will use 70, as we would like to see more active trades.
Use corrected score for sells: "Normal scores are between -1 (for sell) and 1 (for buy), corrected score is a value between 0 and 100 (percentage) based on the highest and lowest normal result it got". The corrected score improves over time. Therefore we will use the corrected score in our example.
Minimum score for sells:"Configure the minimum score a market should have before signalling a buy for it. Normal scores are between -1 (for sell) and 1 (for buy), so you could enter -0.2 for a sell for example. If you use corrected score, then the value should be between 0 and 100, for example 25 for a sell". For example, we will use 30 as we would like to see more active trades.
If you have chosen all of the settings that we have for this example then your strategy settings should look like this:
Now that you have integrated your New AI into your hopper you will have to configure the rest of your baseconfig if you have not done so already.
Did you know that you can also take short positions using your New AI? Shorting with the New AI works exactly the same as with a regular strategy.