Tentacle development
About Tentacles
This page covers tentacle development.
A tentacle is part of a tentacle package and defines a tool for OctoBot such as a way to analyse moving averages, listen to twitter for create grid-like orders.
OctoBot uses tentacles to handle:
- Price technical analysis (moving averages, RSI, MACD, ...)
- Social analysis (Twitter, Telegram, Reddit and Google)
- Evaluator signals interpretations (strategies)
- Orders creation and followup (trading modes)
- User interfaces and notifications (web, telegram, twitter)
- Backtesting data files reading and writing (.data)
- Exchanges fixes (to handle exchange local differences)
There is no limit to the things OctoBot can handle: everything that can be coded can be used by OctoBot through a tentacle. It is possible to create a new tentacle to add a new tool to OctoBot or to build on an existing one and improve it.
Developing a new Tentacle
The most efficient way to create a new tentacle si to build on top of an existing one to add features to it. It is of course also possible to create a new completely new tentacle, in this case please have a look at similar tentacles.
To create a tentacle improving an existing one, all you need to do, is to use the existing tentacle folder as a template (to create a tentacle package) and extend the existing tentacle you want to improve and re-implement the methods you want to change in the package's python file.
Examples:
TwitterNewsEvaluator is a simple Twitter evaluator available by default in
tentacles/Evaluator/Social/new_evaluator/news.py. Let's say you want to implement SuperTwitterNewsEvaluator which is a better Twitter evaluator.Create the
tentacles/Evaluator/Social/super_new_evaluator/ tentacle package based on tentacles/Evaluator/Social/new_evaluator and start coding the the python file.1
import tentacles.Evaluator.Social as Socials
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class SuperTwitterNewsEvaluator(Socials.TwitterNewsEvaluator):
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# _get_tweet_sentiment is the TwitterNewsEvaluator method taking a tweet and
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# returning a number representing the "bullishness" of the tweet.
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# to change this part only, just redefine this method here
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def _get_tweet_sentiment(self, tweet, tweet_text, is_a_quote=False):
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# your new content
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sentiment = 1
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# some advanced tweet analysis to set sentiment value
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return sentiment
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SimpleStrategyEvaluator is a strategy available by default in
tentacles/Evaluator/Strategies/mixed_strategies_evaluator/mixed_strategies.py. Create the tentacles/Evaluator/Social/super_simple_strategy_evaluator/ tentacle package based on tentacles/Evaluator/Strategies/mixed_strategies_evaluator and start coding the the python file.1
import tentacles.Evaluator.Strategies as Strategies
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class SuperSimpleStrategyEvaluator(SimpleStrategyEvaluator):
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# _trigger_evaluation is the methods called when OctoBot is
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# asking for a strategy evaluation
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async def matrix_callback(self,
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matrix_id,
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evaluator_name,
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evaluator_type,
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eval_note,
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eval_note_type,
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exchange_name,
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cryptocurrency,
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symbol,
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time_frame):
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final_evaluation = 0
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# some advanced computations to set final_evaluation value
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# update self.eval_note to store the strategy result
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self.eval_note = final_evaluation
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# finally, call self.strategy_completed to notify that
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# trading modes should wake up after this update
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await self.strategy_completed(cryptocurrency, symbol)
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Last modified 6mo ago
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