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title, summary, sidebar, permalink
| title | summary | sidebar | permalink |
|---|---|---|---|
| Bots | suite_sidebar | suite-bots.html |
There are three different kinds of bots, sometimes called algorithms interchangeably:
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Sensor Bots: they extract raw data from external sources (i.e.: exchanges, Twitter, etc.) and store it in the system's standardized format for others to consume;
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Indicator Bots: they process available information that other bots may have generated to produce elaborate datasets for others to consume;
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Trading Bot: based on datasets exposed as products by other bots (counting sensors, indicators and even other trading bots), a trading bot applies the trading logic defined on a trading system to, on one side, generate a complete trading simulation (outputting datasets that include trades, the action of strategies, validation of conditions, etc.), and on the other side, manages the execution of orders when on a forward testing or live trading session.
What these different kinds of bots have in common is that they all create data products that others may consume. To do this, they run processes that produce and store datasets. That is, the product a bot creates may result in one or more datasets.
Each bot may have several processes, and processes don't necessarily have a one-to-one relationship with products. That is, a product can be the result of the work of one or more processes.