Superalgos - API Data Fetcher Bot

API Data Fetcher Bot

This bot can fetch data from any API on the internet as long as it is provided with an API Map at runtime.

An API Data Fetcher Bot is similar to a , except that a requires a developer to code an algorithm to extract the data, while an API Data Fetcher Bot can retrieve information without coding by using an .

Foundations->Topic->Data Mining - Fetching Data From APIs->Main Workflow

How to Fetch Data from an API?

The main workflow to pull this off is quite straight forward. It does not require coding at all. Follow this guide and you will be using data from any source on the Internet for your trading strategies in no time.

1. Choose an API: The current version is limited to public APIs only. Secured APIs coming soon.

2. Design an API Map: Read the APIs online documentation and identify the Endpoints that return the data you would like to fetch. Carefully map the Endpoints defining the parameters the API Server expects at each call, and also how the API Server response is formatted.

3. Setup an API Data Fetcher Bot: Create a Data Mine for this API and add an API Data Fetcher Bot. From that Bot's Record Properties you will need to reference the fields returned by the API Server defined at the API Map. This is how you define which fields from each response you are going to save to disk. You might also need to define query or path parameters here.

4. Setup an Indicator Bot for Dataset Type Conversion: The Raw Data saved to disk needs to be organized for consumption. You will need to setup an Indicator Bot that will do a Dataset Type Conversion from Raw Data to a standard Dataset Type. This process will do data aggregation in order to generate the elements with a fixed time range for every Time Frame possible.

5. Setup Indicator Bots: Once the data is converted, you can extract specific Datasets from it. These datasets can be used to define a set of indicators you can build from that data. These Indicators can be as simple as reorganizations of the data (with some adjustments to the names of fields and splitting the data into different indicators), or it can include some data processing / transformations if you wish (this would require some coding).

6. Setup Plotters: After you have set up your indicators you can design plotters for them if you wish.

7. Use Data for Trading Strategies: These indicators can be consumed from your trading strategies.

Tip: There is a called API Data Fetcher Bot Demo with a simple working example of the previous steps you can use as a reference.

Foundations->Topic->Data Mining - Fetching Data From APIs->Step By Step

Step by Step Guide to Fetch Data from an API

This is a detailed guide on how to setup a data mining operation fetching data from an Internet API.

Step #1: Open the API Data Fetcher Bot Demo Plugin Workspace and study it for a while. Run the tasks in there, watch while data is processed, check the charts and finally run the Trading Task that uses the data processed.

Step #2: Open a second UI (this will prevent the previous one from saving the changes, but you don't need to do that). You will use the first UI to check from time to time how nodes are configured there, and the second UI to build your own data mining operation from scratch. The rest of the steps you will do within the second UI.

Step #3: Select an API from the Internet with data that might be useful at your Trading Strategy.

Step #4: Read the API's documentation, indentify the endpoints, what parameters they require and what data they will provide you. Another helpful way to see how the api responds is by typing the api endpoint into your browser and looking at the raw output.

Step #5: At Superalgos, get a clean workspace, without plugins pre-installed.

Step #6: Create an API Map node, and start mapping the documented API by adding children to it. Especially pay attention to unnamed arrays and objects that may wrap the data.

Step #7: For each node you add, read the node's doc page. This will save you time trying to guess how all this works.

Step #8: Define one API Endpoint first, once you have the first one working, go for the rest of the endpoints available.

Step #9: Define the query, or path parameters, and the responses. Read each node's help for details on how to do it right.

Step #10: Create a Trading System with an empty Strategy. This will allow the Install New Market procedure to create trading tasks referencing this Trading System.

Step #11: Create a new Data Mine with the name of the company that hosts the API.

Step #12: Within the Data Mine add an API Data Fetcher Bot. Configure the Bot's nodes following the example at the UI #1.

Step #13: Install a new market. This procedure is going to setup many things for you. It will detect the API Map, and the Data Mine you created and will create appropiate Tasks to run your API Fetcher Bot.

Step #14: Pay attention to the nodePath property at the API Response Schema node of the API Map. Check the node's docs page for details.

Step #15: At your API Data Fetcher Bot's Product Definition Record Properties, define the fields that you would like to save from the API Server response. You don't need to save everything, only what makes sense to you.

Step #16: Establish a reference from each Record Property child API Response Field Reference node to a node at the API Map of type API Response Field. Do it carefully for every Record Property.

Step #17: The timestamp record property is the only required property. It helps keep the records you save organized. Additionally, the timestamp may live in the header of the API response. Read the docs of the API Response Field Reference node to set up the nodePath property if necessary.

Note: It is a good idea to make sure you get the api fetcher bot running and debugged before moving on to the next step.

Step #18: At your Data Mine, set up an Indicator Bot and configure its Process Definition nodes to the framework that will convert from One-Min-Daily to Multi-Time-Frame-Daily and Multi-Period-Market types of Datasets. See how it was done at the UI #1.

Step #19: Within the Indicator Bot you just added, define the Record Property nodes based on the information you would like to convert from Raw Data. Make sure you add a begin and end Record Property even if it does not exist at the Raw Data in order for the indicator bot to run correctly.

Step #20: Configure the aggregationMethod property for each Record Property. Check the docs of that node for details.

Step #21: If you wish, you can create multiple Indicator Bots to cut the dataset in different groups of Record Properties.

Step #22: Setup a Plotter at your new Data Mine, and reference it from the Product Definition of the latest Indicator Bot created.

Step #23: Now you are ready to run the Task where the Data Fetcher Bot Process Instance is defined.

Step #24: If something did not work, check the workspace map to see if there is a node with an error. Locate the node, click on the error and see the error's page at the doc. Try to understand what is wrong, fix it and try again.

Step #25: Iterate through step #24 until everything is working. Re read node's documentation until you get the details of what it explains there. Reread this guide or this whole Topic from the start, until the concepts explained sinks in.

Step #26: If after digesting the docs, and following all this advice you still cannot get it to work, go to the Telegram Support group and ask for help.

Step #27: Once all is running well, set up your Trading Strategy in a way that allows you to test if you have access to the processed data (the one provided by the latest Indicator Bots created).

Step #29: Once the data is correctly consumed by your Trading Strategy, iterate through this guide by adding another API Endpoint to the API Map. You will need to add an addtional API Fetcher Bot.

Step #30: Once you have successfully mapped the whole API and you have all the needed API Data Fetchers, Indicator Bots and Plotters tested, you are ready to share your API Map and Data Mine with the community as a plugin, and receive SA Tokens in exchange for your contribution.

API Data Fetcher Bot Configuration

Properties

codeName Define the name of the bot that will be used in the code.

apiEndpoint this property defines the endpoint with which the current fetcher bot will connect to from the API Map. It needs to match the codeName of the appropriate API Endpoint node.

Initial Values

These are the Initial Values for API Data Fetcher Bot configuration:

 {
    "codeName": ""
}

Examples

This is a list of properties featured by the API Data Fetcher Bot configuration. Expanding a property shows sample values for the property extracted from the current .

API Data Fetcher Bot Menu

The API Data Fetcher Bot node has the following items:

The Configure menu item has the following properties:

action: Configure

label: Configure

iconPathOn: configuration

iconPathOff: configuration

dontShowAtFullscreen: true

actionFunction: uiObject.configEditor.activate

actionProject: Foundations

The Add Process Definition menu item has the following properties:

action: Add UI Object

label: Add Process Definition

relatedUiObject: Process Definition

relatedUiObjectProject: Foundations

actionFunction: payload.executeAction

actionProject: Visual-Scripting

The Add Product Definition menu item has the following properties:

action: Add UI Object

label: Add Product Definition

relatedUiObject: Product Definition

relatedUiObjectProject: Foundations

actionFunction: payload.executeAction

actionProject: Visual-Scripting

The Delete menu item has the following properties:

action: Delete UI Object

actionProject: Visual-Scripting

askConfirmation: true

confirmationLabel: Confirm to Delete

label: Delete

iconPathOn: delete-entity

iconPathOff: delete-entity

actionFunction: payload.executeAction

Tip: When a menu item is grayed out, it means that API Data Fetcher Bot already has the required child type that the menu item may add, and only that child is allowed for that case.

API Data Fetcher Bot Children

The API Data Fetcher Bot node has the following childrenNodesProperties:

The Processes node property features the following properties:

name: processes

type: array

childType: Process Definition

autoAdd: true

project: Foundations

The Products node property features the following properties:

name: products

type: array

childType: Product Definition

autoAdd: true

project: Foundations

API Data Fetcher Bot Attaching Rules

The following are the that govern the attachment of API Data Fetcher Bot with other nodes:

Compatible Types:

Superalgos is an open-source project run and governed by a decentralized community of contributors. There is no legal entity behind the project. Our body of work lives on the Internet.