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This library contains Cybotrade's core runtime, integrations with Exchanges API, historical and live market data collector and wrap them into a simple, easy-to-use Python SDK.
This is the Client SDK for building automated trading strategies on Cybotrade. This library provides the core runtime, integration with Exchanges API, historical and live market data collector and wrap them into a simple, easy-to-use and easy-to-learn Python SDK as a foundation users' strategies.
The documentation for the Cybotrade SDK can be found here.
pip install cybotrade
The following example shows how to create a simple strategy that buys 0.01 BTC when the price goes up and sells 0.01 BTC when the price goes down.
For a more advanced usage, please refer to the documentation.
from cybotrade.strategy import Strategy as BaseStrategy
from cybotrade.models import (
OrderParams,
OrderSide,
RuntimeMode,
RuntimeConfig,
Exchange,
)
from datetime import datetime, timedelta, timezone
import asyncio
class Strategy(BaseStrategy):
async def on_candle_closed(self, strategy, topic, symbol, data_map):
# Get the currently closed candles
candles = data_map[topic]
if candles[-1].close > candles[-2].close:
# Buy 0.01 BTC
await strategy.open(
side=OrderSide.Buy,
take_profit=None,
stop_loss=None,
quantity=0.01,
limit=None
)
else:
# Sell 0.01 BTC
await strategy.open(
side=OrderSide.Sell,
take_profit=None,
stop_loss=None,
quantity=0.01,
limit=None
)
async def main():
runtime = await Runtime.connect(
RuntimeConfig(
mode=RuntimeMode.Backtest,
exchange=Exchange.BybitLinear,
datasource_topics=[],
candle_topics=["candles-1h-BTC/USDT-bybit"],
start_time=datetime.now(timezone.utc) - timedelta(minutes=10000),
end_time=datetime.now(timezone.utc),
api_key="YOUR_CYBOTRADE_API_KEY",
api_secret="YOUR_CYBOTRAD_API_SECRET",
data_count=100
),
Strategy(),
)
await runtime.start()
asyncio.run(main())
FAQs
This library contains Cybotrade's core runtime, integrations with Exchanges API, historical and live market data collector and wrap them into a simple, easy-to-use Python SDK.
We found that cybotrade demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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