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octobot-tentacles
by Herklos
My OctoBot stack vscode workspace
⭐ 0🍴 0📅 2026年1月21日
SKILL.md
name: OctoBot-Tentacles description: Plugin repository for OctoBot exchanges, evaluators, trading modes, and services version: 1.0.0 license: GPL-3.0
OctoBot-Tentacles Development
Overview
OctoBot-Tentacles is the main plugin repository containing all exchange connectors, technical evaluators, social evaluators, trading modes, and service integrations. Each tentacle is a self-contained plugin with its own metadata, tests, and resources.
References
- Tentacle Structure: Directory layout, metadata.json, requirements
- Exchange Tentacles: Creating exchange connectors, CCXT integration
- Evaluator & Mode Tentacles: Technical/social evaluators, trading modes
Key Concepts
Tentacle Categories
- Trading/Exchange: Exchange connectors (Binance, Coinbase, etc.)
- Evaluator/TA: Technical analysis evaluators (RSI, MACD, etc.)
- Evaluator/Social: Social/sentiment evaluators
- Evaluator/Strategies: Complete trading strategies
- Trading/Mode: Trading modes (DCA, Grid, Market Making)
- Services: Webhooks, notifications, integrations
Metadata Schema
Every tentacle requires metadata.json with version, origin_package, tentacles list, and requirements.
Testing Pattern
Use relative imports: from ...binance import Binance
Common Tasks
Create Exchange Tentacle
# Trading/Exchange/my_exchange/my_exchange.py
from octobot_trading.exchanges import RestExchange
class MyExchange(RestExchange):
DESCRIPTION = "My Exchange connector"
@classmethod
def get_name(cls):
return "my_exchange"
@property
def connector_class(self):
from octobot_trading.exchanges.connectors import CCXTConnector
return CCXTConnector
Create Technical Evaluator
# Evaluator/TA/my_indicator/my_indicator.py
from octobot_evaluators.evaluators import TechnicalEvaluator
class MyIndicator(TechnicalEvaluator):
@classmethod
def get_name(cls):
return "MyIndicator"
async def eval_impl(self):
candles = await self.get_candles()
# Calculate indicator
signal = self.calculate_signal(candles)
await self.evaluation_completed(signal)
Create Trading Mode
# Trading/Mode/my_mode/my_mode.py
from octobot_trading.modes import AbstractTradingMode
class MyMode(AbstractTradingMode):
@classmethod
def get_name(cls):
return "MyMode"
async def create_new_orders(self, symbol, final_note):
if final_note > 0.5:
await self.create_order(symbol, "buy")
elif final_note < -0.5:
await self.create_order(symbol, "sell")
Add Tentacle Metadata
{
"version": "1.0.0",
"origin_package": "OctoBot-Default-Tentacles",
"tentacles": ["MyExchange"],
"tentacles-requirements": [],
"requirements": []
}
Integration Points
- OctoBot-Trading: Exchange tentacles integrate with trading engine
- OctoBot-Evaluators: Evaluator tentacles plug into evaluation framework
- OctoBot-Services: Service tentacles connect to notification systems
- CCXT: Exchange tentacles wrap CCXT exchange implementations
Quick Reference
Directory Structure
Trading/
Exchange/
binance/
__init__.py
binance.py
metadata.json
tests/
Evaluator/
TA/
rsi/
__init__.py
rsi.py
metadata.json
tests/
Strategies/
dip_analyzer/
Testing Convention
# tests/test_my_tentacle.py
import pytest
from ...my_tentacle import MyTentacle
@pytest.mark.asyncio
async def test_functionality():
tentacle = MyTentacle()
result = await tentacle.do_something()
assert result is not None
Export Tentacles
cd OctoBot
python start.py tentacles -p ../../tentacles_default_export.zip -d ../OctoBot-Tentacles
Checklist
- Create proper directory structure under appropriate category
- Add
__init__.pywith tentacle class import - Implement main tentacle file with get_name() classmethod
- Create metadata.json with correct origin_package
- Add tests/ directory with relative imports
- Test tentacle with pytest
- Export tentacles using start.py command
- Verify tentacle loads in OctoBot
- Document tentacle configuration options
- Add resources/ folder if needed (icons, configs)
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